Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
e-ISSN: 2685-0893
Sistem Informasi Manajemen Barang Habis Pakai Berbasis Web Dengan Menggunakan Model RAD
Conventional management of consumable goods at RSUD Drs. H. Abu Hanifah, Koba, Central Bangka Regency requires an average of 47.2 minutes per procurement request cycle and frequently encounters data discrepancies due to the absence of real-time stock information. This study aims to develop a Web-based Consumable Goods Management Information System to address these issues. The system was built using the Rapid Application Development (RAD) model with a three-tier architecture (PHP/Laravel, MySQL, Bootstrap 5) across four phases completed within 11 weeks. Key innovations include a two-level digital authorization workflow and a real-time stock restriction mechanism enforced at the user level. The system was evaluated using Black Box Testing across 20 functional requirements and the System Usability Scale (SUS) involving 15 respondents. Results demonstrate a 100% functional pass rate, an 85.6% reduction in average processing time (from 47.2 to 6.8 minutes), and a mean SUS score of 81.3, classified as Good. Keywords: Information System; Inventory Management; Consumable Goods; Rapid Application Development; Efficiency. Abstrak Pengelolaan Barang Habis Pakai (BHP) secara konvensional di RSUD Drs. H. Abu Hanifah, Koba, Kabupaten Bangka Tengah memerlukan rata-rata 47,2 menit per siklus permohonan dan sering mengalami ketidaksesuaian data akibat tidak adanya informasi stok secara real time. Penelitian ini bertujuan membangun Sistem Informasi Manajemen BHP berbasis web yang mampu mengatasi permasalahan tersebut. Sistem dikembangkan menggunakan model Rapid Application Development (RAD) dengan arsitektur three-tier (PHP/Laravel, MySQL, Bootstrap 5) melalui empat fase selama 11 minggu. Kebaruan sistem mencakup alur otorisasi digital dua tingkat dan mekanisme restriksi stok real time di sisi pengguna. Pengujian dilakukan dengan Black Box Testing untuk 20 kebutuhan fungsional dan System Usability Scale (SUS) terhadap 15 responden. Hasil menunjukkan tingkat kelulusan fungsional 100%, reduksi rata-rata waktu proses sebesar 85,6% (dari 47,2 menjadi 6,8 menit), dan skor SUS rata-rata 81,3 (kategori Good).
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Analisis Sentimen Terhadap Hasil Evaluasi Kinerja Dosen Menggunakan Metode Naïve Bayes
Perancangan Dan Implementasi Sistem Informasi Penyaluran Tenaga Kerja Pada PT Gokko Mirai Indonesia
At PT Gokko Mirai Indonesia, workforce deployment is still done manually, which makes the process inefficient, time-consuming, and potentially leads to data processing errors and unclear application status. The purpose of this research is to create and implement an integrated information system for web-based workforce distribution that improves process efficiency and transparency. The waterfall method is used for system design, testing, implementation, and needs analysis. PHP is used in the construction of this system. and utilizes the Laravel framework and MySQL database. The main features are applicant data control, vacancy data, application submission process, and real-time application status monitoring. Black box testing results show that every system feature operates as intended, according to requirements. The new system can improve data processing efficiency and provide information transparency to applicants Keywords: Information system; Recruitment; Web; Waterfall; Black box testing Abstrak Di PT Gokko Mirai Indonesia, penyebaran tenaga kerja masih dilakukan secara manual, yang membuat proses tidak efisien, memakan waktu lama, dan berpotensi menyebabkan kesalahan pengolahan data dan ketidakjelasan tentang status lamaran. Tujuan dari penelitian ini adalah untuk mengembangkan dan menerapkan sistem informasi yang terintegrasi untuk penyaluran tenaga kerja yang berbasis web yang akan meningkatkan efisiensi dan transparansi proses. Metode Waterfall yang digunakan meliputi analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistemnya ini dibuat menggunakan PHP dan menggunakan framework Laravel serta database MySQL. Pengendalian data pelamar, data lowongan, proses pengajuan lamaran, dan pemantauan status lamaran secara real-time adalah fitur utama. Hasil pengujian metode black box menunjukkan bahwa semua fitur sistem bekerja dengan baik sesuai dengan kebutuhan. Sistem baru dapat meningkatkan efisiensi pengolahan data.serta memberikan transparansi informasi kepada pelamar.
Analisis Komparatif Algoritma Process Mining untuk Pemetaan Navigasi dan Deteksi Bottleneck E-Commerce
E-commerce digitalization generates massive clickstream data, complicating customer journey mapping and bottleneck detection. The unstructured nature of web logs often leads to modeling failures. This study evaluates the performance of Alpha Miner, Heuristic Miner, and Inductive Miner algorithms in mapping user navigation routes and detecting interface inefficiencies using a public e-commerce clickstream dataset. Through Token-Based Replay evaluation, the research shows that Alpha Miner is inefficient for dynamic data and prone to Out of Memory errors. Conversely, Inductive Miner proved superior with a perfect fitness level (0.999), while Heuristic Miner was optimal in filtering noise (0.887). Further evaluations using the Performance Directly-Follows Graph localized the main bottleneck at the post-login transition to the shopping cart addition, which took the longest interface delay (42 minutes). These empirical findings provide a benchmark to optimize user interfaces and boost digital transaction conversions. Keywords: Bottleneck; Conformance Checking; Customer Journey; E-Commerce; Process Mining. Abstrak Digitalisasi e-commerce menghasilkan data clickstream masif yang menyulitkan pemetaan customer journey dan deteksi bottleneck. Sifat log web yang tidak terstruktur sering kali memicu kegagalan pemodelan. Penelitian ini mengevaluasi kinerja Alpha Miner, Heuristic Miner, dan Inductive Miner untuk memetakan navigasi pengguna serta mendeteksi inefisiensi antarmuka menggunakan dataset publik rekaman clickstream e-commerce. Melalui evaluasi Token-Based Replay, penelitian menunjukkan bahwa Alpha Miner tidak efisien untuk data dinamis dan rentan memicu Out of Memory. Sebaliknya, Inductive Miner terbukti paling unggul dengan tingkat kecocokan sempurna (0.999), sedangkan Heuristic Miner optimal dalam menyaring derau (0.887). Evaluasi lanjutan berbasis Performance Directly-Follows Graph melokalisasi bottleneck utama pada transisi pasca-login menuju penambahan keranjang belanja dengan jeda waktu antarmuka terlama (42 menit). Temuan empiris ini menjadi acuan untuk mengoptimalkan rekayasa antarmuka pengguna demi mendongkrak konversi transaksi digital.
Implementasi Kerangka Kerja MITRE D3FEND dalam Mitigasi Serangan Ransomware LockBit 3.0
Cybersecurity threats are escalating due to the evolution of LockBit 3.0 ransomware, which has disrupted national vital sectors. This study aims to demonstrate the implementation of the MITRE D3FEND framework to mitigate these attacks within a Windows 11 environment. An experimental method using a technical comparative analysis approach was applied and validated through 50 test iterations to ensure data reliability. The results indicate that the baseline unprotected system is completely vulnerable to the entire LockBit 3.0 attack chain. However, the deployment of MITRE D3FEND controls proactively enhances system resilience, achieving a 75% effectiveness score by successfully executing passive detection and real-time active blocking at critical attack vectors. This study concludes that a digital artifact-based defense strategy significantly hardens cyber infrastructure, while recommending future developments in artificial intelligence (AI) based adaptive mitigation automation. Kata kunci: MITRE D3FEND; LockBit 3.0; Cybersecurity; Ransomware; Mitigation Abstrak Ancaman keamanan siber meningkat akibat evolusi ransomware LockBit 3.0 yang melumpuhkan berbagai sektor vital nasional. Penelitian ini bertujuan mendemonstrasikan implementasi kerangka kerja MITRE D3FEND dalam memitigasi serangan tersebut pada Windows 11. Metode eksperimen diterapkan melalui pendekatan analisis komparatif teknis yang divalidasi lewat 50 kali iterasi pengujian guna menjamin reliabilitas data. Hasil pengujian menunjukkan bahwa sistem standar tanpa proteksi sepenuhnya rentan terhadap seluruh rangkaian serangan LockBit 3.0. Namun, penerapan kontrol pertahanan MITRE D3FEND terbukti proaktif meningkatkan resiliensi sistem dengan skor efektivitas mencapai 75% melalui keberhasilan fungsi deteksi pasif serta pemblokiran aktif secara real-time di titik-titik krusial serangan. Penelitian ini menyimpulkan bahwa strategi pertahanan berbasis artefak digital secara signifikan memperkeras keamanan infrastruktur siber, sekaligus merekomendasikan pengembangan otomatisasi mitigasi adaptif berbasis kecerdasan buatan (AI) di masa depan.
Perancangan Sistem Informasi Berbasis QR Code Terintegrasi Website pada Produk Sabda Rempah
Limited product information delivery in micro businesses often makes it difficult for consumers to obtain complete product information, especially when products are distributed through third parties without the direct presence of producers. This study aims to design a QR Code-based information system integrated with a website for Sabda Rempah products. The system development method used was the Waterfall method, which includes requirements analysis, system design, system development, and testing. The system was developed using WordPress and QR codes as a links between product packaging and digital information. System testing was conducted using the black-box testing method on both the admin and consumer sides. The results showed tahat all system features functioned properly and validly. The developed system was able to improve the effectiveness, efficiency, and accessibility of digital product information through QR Code scanning using smartphones Keywords: QR Code; Information System; Website; WordPress Abstrak Keterbatasan penyampaian informasi produk pada usaha mikro menyebabkan konsumen sulit memperoleh informasi produk secara lengkap, terutama ketika produk dipasarkan melalui pihak ketiga tanpa kehadiran produsen. Penelitian ini bertujuan merancang sistem informasi berbasis QR Code yang terintegrasi dengan website pada produk Sabda Rempah. Metode pengembangan sistem menggunakan Waterfall yang meliputi analisis kebutuhan, perancangan, pembuatan, dan pengujian sistem. Sistem dikembangkan menggunakan WordPress dan QR Code sebagai penghubung antara kemasan produk dan informasi digital. Pengujian dilakukan menggunakan metode black-box testing pada sisi admin dan konsumen. Hasil pengujian menunjukkan seluruh fitur sistem berjalan dengan baik dan valid. Sistem mampu meningkatkan efektivitas, efisiensi, serta kemudahan akses informasi produk secara digital melalui pemindaian QR Code menggunakan smartphone.
Implementasi RAD dalam Perancangan Aplikasi Sistem Penerbitan Surat Keterangan Kepegawaian pada Kejati Kepulauan Bangka Belitung
The issuance process of Employee Certificate Letters at the High Prosecutor’s Office of Bangka Belitung Islands had previously been conducted manually, causing service delays, data duplication, and difficulties in verification. This study aimed to design a web-based system capable of automating administrative processes and improving service efficiency. The method applied was Rapid Application Development through the stages of requirements planning, design, construction, and implementation. The results showed that the designed system was able to integrate employee data, asset declaration reports, annual tax reports, disciplinary sanctions, and complaints into a single verification platform. The novelty of this study lay in the implementation of certificate eligibility verification based on administrative compliance data and internal supervision. Testing results indicated that all major functions operated according to requirements, therefore the system was considered feasible to support the digital transformation of personnel services. Keywords: Information system; Employee certificate letter; Rapid application development; Digital verification; Administrative service Abstrak Proses penerbitan Surat Keterangan Kepegawaian pada Kejaksaan Tinggi Kepulauan Bangka Belitung sebelumnya masih dilakukan secara manual sehingga menyebabkan keterlambatan pelayanan, duplikasi data, dan kesulitan dalam proses verifikasi. Penelitian ini bertujuan merancang sistem berbasis web yang mampu mengotomatisasi proses administrasi dan meningkatkan efisiensi pelayanan. Metode yang digunakan adalah Rapid Application Development melalui tahapan perencanaan kebutuhan, perancangan, konstruksi, dan implementasi. Hasil penelitian menunjukkan bahwa sistem yang dirancang mampu mengintegrasikan data pegawai, pelaporan harta kekayaan, pelaporan pajak tahunan, hukuman disiplin, dan pengaduan dalam satu platform verifikasi. Kebaruan penelitian terletak pada penerapan verifikasi kelayakan surat berbasis data kepatuhan administratif dan pengawasan internal.
Model Sistem Mitigasi Bencana Dashboard Peringatan Dini Banjir Setrokalangan Menggunakan Metode Waterfall
Indonesia frequently faces hydrometeorological disasters such as floods, resulting in significant asset and material losses. This condition is exacerbated in areas like Setrokalangan Village, which lacks mitigation technology infrastructure. This research aims to develop a flood prevention system that integrates a responsive interface with cloud-based data management, prioritizing reliability and user experience. The methodology includes implementing human-centered design for the interface, building a dynamic database, and optimizing cloud infrastructure for high availability. The findings confirm that the platform is capable of presenting real-time water level information and distributing warning notifications through various communication channels. Dashboard accessibility has been tested across devices (desktop, tablet, smartphone) with consistent performance under high traffic. In conclusion, the combination of an educative interface design and cloud-based backend management effectively provides a precise early warning system for villagers. Keywords: Flood; Early Warning; Information System; Responsive Dashboard; Waterfall Method Abstrak Indonesia sering menghadapi bencana hidrometeorologi seperti banjir yang mengakibatkan kerugian aset dan material yang besar. Kondisi ini diperparah di daerah seperti Desa Setrokalangan yang belum memiliki infrastruktur teknologi mitigasi. Penelitian ini bertujuan untuk mengembangkan sistem pencegahan banjir yang mengintegrasikan antarmuka responsif dengan manajemen data berbasis cloud, dengan mengutamakan keandalan dan pengalaman pengguna. Metodologi yang digunakan meliputi penerapan Human-Centered Design untuk antarmuka, pembangunan basis data dinamis, serta optimalisasi infrastruktur cloud untuk ketersediaan layanan yang tinggi. Temuan penelitian mengonfirmasi bahwa platform mampu menyajikan informasi tinggi muka air secara real-time serta menyalurkan notifikasi bahaya melalui berbagai media komunikasi. Aksesibilitas dashboard telah diuji pada berbagai perangkat (desktop, tablet, smartphone) dengan kinerja yang konsisten di bawah lalu lintas pengguna yang tinggi. Kesimpulannya, penggabungan desain antarmuka yang edukatif dan manajemen backend berbasis cloud secara efektif menyediakan sistem peringatan dini yang presisi bagi warga desa.
Rancang Bangun Pemantauan Ketinggian Air Multi-Sensor Berbasis Raspberry Pi Pico dengan Notifikasi WhatsApp
Measurable water level monitoring is important for various environmental and industrial needs. This study aims to design a prototype of an Internet of Things (IoT)-based water level monitoring system using a miniature river model. The system utilizes a Raspberry Pi Pico as the main processing unit, integrated with a pressure sensor, a float switch, and a Time-of-Flight (ToF) sensor to maintain measurement stability and data redundancy. Testing was conducted in a controlled environment by simulating changes in water levels. The results show that the multi-sensor system is capable of detecting water levels with a low error rate in real time. The ToF sensor produces distance measurements that demonstrate stable performance, while the pressure sensor and float switch consistently validate the water level thresholds. The developed prototype is capable of providing monitoring data and warnings adequately, thereby having the potential to serve as a basis for further development of automated monitoring systems. Keywords: Water Level Monitoring, Raspberry Pi Pico, ToF Sensor, Internet of Things, Prototype. Abstrak Pemantauan ketinggian air yang terukur penting untuk berbagai kebutuhan lingkungan dan industri. Penelitian ini bertujuan merancang purwarupa sistem pemantauan ketinggian air berbasis Internet of Things (IoT) menggunakan model miniatur sungai. Sistem menggunakan Raspberry Pi Pico sebagai unit pemroses utama yang terintegrasi dengan sensor tekanan, float switch, dan sensor Time-of-Flight (ToF) untuk menjaga stabilitas pengukuran dan redundansi data. Pengujian dilakukan pada lingkungan terkendali dengan mensimulasikan perubahan ketinggian air. Hasil penelitian menunjukkan bahwa sistem multi-sensor mampu mendeteksi level air dengan tingkat error rendah dan real-time. Sensor ToF menghasilkan pengukuran jarak yang menunjukkan performa stabil, sedangkan sensor tekanan dan float switch secara konsisten memvalidasi batas ketinggian air. Purwarupa yang dikembangkan mampu menyediakan data pemantauan dan peringatan secara memadai sehingga berpotensi menjadi dasar pengembangan sistem pemantauan otomatis yang lebih lanjut.
Pengembangan Sistem Informasi Geografis untuk Mendukung Keputusan Perencanaan Desa Wisata
Village tourism development was considered a strategic approach to achieving sustainable development by utilizing ecological, social, and cultural potentials inherent in rural areas through community-based tourism. This study evaluated the role of high-accuracy topographic data integrated into a geographic information system as a decision support system for village tourism development planning. Field surveys were conducted in Sukorejo, Pongangan, and Ploso villages using geodetic global positioning system observations, Total Station measurements, and detailed situational mapping. The collected spatial data were processed into topographic and thematic maps to support spatial analysis and decision-making. The results showed that the integration of precise topographic data significantly improved spatial zoning accuracy, accessibility planning, and identification of development potential and environmentally vulnerable areas. This study concluded that a geographic information system-based decision support system strengthened evidence-based planning and supported sustainable village tourism development from social, economic, and environmental perspectives. Keywords: Community-Based Tourism; Decision support system; Geographic information system; Topographic mapping; Spatial planning Abstrak Pengembangan desa wisata dipandang sebagai pendekatan strategis untuk mewujudkan pembangunan berkelanjutan melalui pemanfaatan potensi ekologis, sosial, dan budaya desa berbasis partisipasi masyarakat. Penelitian ini mengevaluasi peran data topografi berakurasi tinggi yang diintegrasikan ke dalam Sistem Informasi Geografis sebagai Sistem Pendukung Keputusan yang mendukung perencanaan pengembangan desa wisata. Survei lapangan dilakukan di Desa Sukorejo, Pongangan, dan Ploso menggunakan sistem geodetik, pengukuran Total Station, dan pemetaan detail situasi. Data spasial yang diperoleh diolah menjadi peta topografi dan peta tematik untuk mendukung analisis spasial dan pengambilan keputusan. Hasil penelitian menunjukkan bahwa integrasi data topografi presisi tinggi meningkatkan ketepatan penataan ruang, perencanaan aksesibilitas, serta identifikasi zona potensial dan area rentan. Penelitian ini menyimpulkan bahwa Sistem Informasi Geografis berbasis Sistem Pendukung Keputusan berperan penting dalam mendukung perencanaan desa wisata yang berkelanjutan.
Model Aplikasi Sistem Penerbitan Surat Cuti Pegawai Berbasis web Menggunakan Metode RAD
Manual employee leave administration processes cause delays in approval, recording errors, and difficulties in monitoring submission status. These problems occur at the Ministry of Human Rights (Kemenham) Bangka Belitung Islands in issuing employee leave letters. This study aims to design a web-based Employee Leave Letter Issuance System using the Rapid Application Development (RAD) method through requirements planning, user design, construction, and cutover stages. The system includes login, employee data, online leave requests, hierarchical approval, and leave reports. Results show that the system improves administrative service effectiveness, accelerates submission and approval processes, minimizes data errors, and enables real-time monitoring. This system is expected to support bureaucratic digital transformation within Kemenham Babel. Keywords: Information System; Employee Leave Letter; Rapid Application Development; Web; Employee. Abstrak Proses administrasi cuti pegawai yang masih manual menyebabkan keterlambatan persetujuan, kesalahan pencatatan, serta kesulitan monitoring status pengajuan. Permasalahan tersebut terjadi pada Kantor Wilayah Kementerian Hak Asasi Manusia (Kemenham) Kepulauan Bangka Belitung dalam penerbitan surat cuti pegawai. Penelitian ini bertujuan merancang Sistem Penerbitan Surat Cuti Pegawai berbasis web menggunakan metode Rapid Application Development (RAD) melalui tahapan requirements planning, user design, construction, dan cutover. Sistem dikembangkan dengan fitur login, data pegawai, permohonan cuti online, persetujuan berjenjang, approval, dan laporan cuti. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan efektivitas layanan administrasi, mempercepat proses pengajuan dan persetujuan cuti, meminimalkan kesalahan data, serta mempermudah monitoring status secara real-time. Sistem ini diharapkan mendukung transformasi digital birokrasi di lingkungan Kantor Wilayah Kementerian HAM (Kemenham) Kep. Babel.
Sistem Diagnosis Berbasis Fuzzy Probabilistik Untuk Pemetaan Kebutuhan Dukungan pada Unit terapi Autisme
Behavioral diversity among pediatric autism patients requires therapists to establish functional support standards with high precision. This study aims to develop a clinical decision support system architecture using Probabilistic Fuzzy Logic to map functional support needs at an autism therapy unit in Malang. A quantitative methodology was implemented through a hybrid model integrating structured Planning Matrix observations with a probabilistic fuzzy inference mechanism. The study evaluated three primary clinical variables operationalized into 21 functional indicators. Observational data collected from 38 children generated 798 evaluation indices for system validation. Computational stages consisted of fuzzification, expert rule evaluation, probabilistic weighting, aggregation, and centroid defuzzification. The proposed system successfully classified subjects into three levels of functional support: Level 1, Level 2, and Level 3. Empirical evaluation demonstrated strong performance, achieving a Mean Absolute Percentage Error of 3.11% and an agreement accuracy of 96.89% compared with clinical expert evaluations. The findings indicate that the proposed model effectively synchronizes daily behavioral observations with therapeutic intervention recommendations, thereby supporting more measurable and interpretable therapy planning. Keywords: Autism spectrum disorder; Clinical decision support; Expert system; Functional support diagnosis; Probabilistic fuzzy logic Abstrak Keberagaman perilaku pada anak dengan gangguan spektrum autisme menuntut terapis untuk menetapkan kebutuhan dukungan fungsional secara presisi. Penelitian ini bertujuan mengembangkan arsitektur sistem pendukung keputusan klinis menggunakan Logika Fuzzy Probabilistik untuk memetakan kebutuhan dukungan fungsional pada unit terapi autisme di Malang. Metodologi kuantitatif diterapkan melalui model hibrida yang mengintegrasikan observasi terstruktur berbasis Planning Matrix dengan mekanisme inferensi fuzzy probabilistik. Penelitian ini mengevaluasi tiga variabel klinis utama yang dioperasionalkan menjadi 21 indikator fungsional. Data observasi yang dikumpulkan dari 38 anak menghasilkan 798 indeks evaluasi untuk validasi sistem. Tahapan komputasi meliputi fuzzifikasi, evaluasi aturan pakar, pembobotan probabilistik, agregasi, dan defuzzifikasi centroid. Sistem yang diusulkan berhasil mengklasifikasikan subjek ke dalam tiga tingkat dukungan fungsional, yaitu Level 1, Level 2, dan Level 3. Evaluasi empiris menunjukkan kinerja yang sangat baik dengan Mean Absolute Percentage Error sebesar 3,11% dan tingkat kesesuaian sebesar 96,89% dibandingkan dengan evaluasi pakar klinis. Temuan penelitian menunjukkan bahwa model yang diusulkan mampu menyinkronkan observasi perilaku harian dengan rekomendasi intervensi terapeutik secara efektif, sehingga mendukung perencanaan terapi yang lebih terukur dan mudah diinterpretasikan.
Rancangan Sistem Informasi Forecasting Kebutuhan Bahan Pangan Berbasis Moving Average pada SPPG Tiram
Food ingredient demand planning inaccuracies due to manual management at the Nutrition Fulfillment Service Unit of Tiram, Tukak Sadai District, South Bangka Regency, posed significant risks of distribution inefficiency and budget waste within the Free Nutritious Meal program. This study aimed to design a web-based forecasting information system integrating the Moving Average algorithm as a historical consumption data-driven demand prediction mechanism. System design was conducted through requirements analysis, functional modeling using use case diagrams, process modeling using activity diagrams, data modeling using Entity Relationship Diagrams, and user interface design stages. The study produced an information system design comprising food ingredient data management, daily consumption recording, moving average-based prediction computation, and structured periodic reporting modules. The novelty of this study lies in the specific contextualization of the Moving Average algorithm within the operational ecosystem of the Nutrition Fulfillment Service Unit as a national nutrition program implementation unit that has never been previously investigated. Keywords: Food demand forecasting; Moving Average; Information system; Free Nutritious Meal program; Nutrition Fulfillment Service Unit Abstrak Ketidakakuratan perencanaan kebutuhan bahan pangan akibat pengelolaan manual pada Satuan Pelayanan Pemenuhan Gizi Tiram Kecamatan Tukak Sadai Kabupaten Bangka Selatan berpotensi menimbulkan inefisiensi distribusi dan pemborosan anggaran program Makan Bergizi Gratis. Penelitian ini bertujuan merancang sistem informasi forecasting berbasis web yang mengintegrasikan algoritma Moving Average sebagai mekanisme prediksi kebutuhan bahan pangan berbasis akumulasi data historis konsumsi. Perancangan sistem dilakukan melalui tahapan analisis kebutuhan, pemodelan fungsional sistem menggunakan use case diagram, pemodelan proses menggunakan activity diagram, pemodelan data menggunakan Entity Relationship Diagram, serta perancangan antarmuka pengguna. Hasil penelitian berupa rancangan sistem informasi yang memuat modul pengelolaan data bahan pangan, pencatatan konsumsi harian, komputasi prediksi berbasis rata-rata bergerak, dan pelaporan periodik terstruktur. Kebaruan penelitian ini terletak pada kontekstualisasi algoritma Moving Average secara spesifik dalam ekosistem operasional Satuan Pelayanan Pemenuhan Gizi sebagai unit pelaksana program gizi nasional yang belum pernah dikaji sebelumnya. Kata kunci: Forecasting kebutuhan pangan; Moving Average; Sistem informasi; Program Makan Bergizi Gratis; Satuan Pelayanan Pemenuhan Gizi
Analisis Kepatuhan ISO 27001 Annex A pada Perusahaan Keamanan Siber
Information Security Management System is an important aspect for cybersecurity companies in maintaining the confidentiality, integrity, and availability of information. This study evaluates the implementation of ISO 27001:2022 Annex A controls in the Compliance and IT Security divisions of a cybersecurity company using the Gap Analysis method. The evaluation covered 12 controls clusters, including security policies, compliance audits, access management, incident handling, and third party management through observation, semi structured interviews, and document analysis. Assessment results showed an actual score of 33 out of 48, indicating a compliance level of 68.75% categorized as compliant. Technical controls had generally been implemented well. However, gaps remained in compliance audits, third party management, security documentation, and employee security awareness. Recommendations include documentation standardization, stronger compliance monitoring, periodic evaluations, and formal incident handling procedures to improve ISMS implementation continuously. Keywords: ISO 27001:2022; Annex A; Gap Analysis; Compliance; Information Security. Abstrak Sistem Manajemen Keamanan Informasi menjadi aspek penting bagi perusahaan keamanan siber dalam menjaga kerahasiaan, integritas, dan ketersediaan informasi. Penelitian ini mengevaluasi implementasi kontrol ISO 27001:2022 Annex A pada divisi Compliance dan IT Security menggunakan metode Gap Analysis. Evaluasi dilakukan terhadap 12 cluster kontrol keamanan informasi melalui observasi, wawancara semi terstruktur, dan analisis dokumen perusahaan. Hasil penilaian menunjukkan skor aktual sebesar 33 dari skor maksimal 48 dengan tingkat kepatuhan 68,75% yang termasuk kategori patuh. Implementasi kontrol pada aspek teknis telah berjalan cukup baik, namun masih ditemukan kesenjangan pada audit kepatuhan, pengelolaan pihak ketiga, dokumentasi keamanan informasi, dan kesadaran keamanan SDM. Rekomendasi yang diusulkan meliputi standarisasi dokumentasi, penguatan pemantauan kepatuhan, evaluasi berkala, dan penyusunan prosedur formal penanganan insiden guna meningkatkan implementasi SMKI secara berkelanjutan.
Rancang Bangun Aplikasi Penjualanan Online Berbasis Web Pada Apotek Maggha Mulia Palembang
The management of sales transactions and drug inventory at Maggha Mulia Pharmacy Palembang is still performed manually, resulting in inefficient data processing and reporting with a high risk of recording errors. This study aims to develop a web-based sales information system integrating online and offline sales with computerized stock management. The development method used is the System Development Life Cycle (SDLC) with the Waterfall model. The system design applies Use Case Diagram, Data Flow Diagram (DFD), and Entity Relationship Diagram (ERD). The system was developed using Visual Studio Code and XAMPP with features for product management, transactions, stock management, sales reports, and online ordering. Black Box Testing results indicate that all system features function according to requirements, enabling the system to improve data management effectiveness and service quality. Keywords: Sales Information System; Drug Inventory; Waterfall; Online Sales; Black Box Testing Abstrak Proses pengelolaan transaksi penjualan dan persediaan obat pada Apotek Maggha Mulia Palembang masih dilakukan secara manual sehingga pengolahan data dan pembuatan laporan kurang efisien serta berisiko menimbulkan kesalahan pencatatan. Penelitian ini bertujuan mengembangkan sistem informasi penjualan berbasis web yang mengintegrasikan penjualan online dan offline dengan pengelolaan stok terkomputerisasi. Metode pengembangan yang digunakan adalah System Development Life Cycle (SDLC) model Waterfall. Perancangan sistem menggunakan Use Case Diagram, Data Flow Diagram (DFD), dan Entity Relationship Diagram (ERD). Sistem dikembangkan menggunakan Visual Studio Code dan XAMPP dengan fitur pengelolaan produk, transaksi, stok, laporan penjualan, dan pemesanan online. Hasil Black Box Testing menunjukkan seluruh fitur berjalan sesuai kebutuhan sehingga sistem dapat meningkatkan efektivitas pengelolaan data dan kualitas pelayanan.
Analisis IT Service Management Menggunakan Framework ITIL V4 pada RSUP Dr. Mohammad Hoesin Kota Palembang
Information Technology Service Management plays a crucial role in supporting effective and sustainable hospital operations. Dr. Mohammad Hoesin General Hospital, Palembang City, still faces several IT service challenges, such as system and network disruptions, and suboptimal service management. This study aims to analyze the maturity level of IT services using the ITIL V4 Framework in Incident Management, Problem Management, and Service Continuity Management practices. The study used a mixed methods approach with observation, interviews, literature studies, and questionnaires. The results showed that the maturity level of Incident Management practices was 4.1, Problem Management was 4.04, and Service Continuity Management was 3.94, which are at Level 4 (Managed). This study resulted in recommendations for the development of IT service SOPs, improved system monitoring, and strengthened documentation and backup recovery processes. Keywords: IT Service Management; ITIL V4; Incident Management; Problem Management; Service Continuity Management. Abstrak Pengelolaan layanan teknologi informasi memiliki peranan penting dalam mendukung operasional rumah sakit agar berjalan efektif dan berkelanjutan. RSUP Dr. Mohammad Hoesin Kota Palembang masih menghadapi beberapa kendala layanan TI seperti gangguan sistem, jaringan, dan pengelolaan layanan yang belum optimal. Penelitian ini bertujuan untuk menganalisis tingkat kematangan layanan TI menggunakan Framework ITIL V4 pada praktik Incident Management, Problem Management, dan Service Continuity Management. Penelitian menggunakan pendekatan mixed methods dengan teknik observasi, wawancara, studi literatur, dan kuesioner. Hasil penelitian menunjukkan nilai maturity level pada praktik Incident Management sebesar 4,1, Problem Management sebesar 4,04, dan Service Continuity Management sebesar 3,94 yang berada pada Level 4 (Managed). Penelitian ini menghasilkan rekomendasi berupa penyusunan SOP layanan TI, peningkatan monitoring sistem, serta penguatan dokumentasi dan proses backup recovery.
Implementasi Sistem Prediksi Harga Motor Bekas Menggunakan Algoritma Categorical Boosting
This study is intended to design a web-based system for predicting used motorcycle prices by employing the Categorical Boosting (CatBoost) algorithm. The research problem stems from the subjective process of setting used motorcycle prices, which is affected by multiple factors and frequently results in inaccurate price estimates. The research methodology covers data collection from the OLX Indonesia platform, followed by data preprocessing, feature engineering, data partitioning with a train–test split approach, and model construction using the CatBoost Regressor algorithm. The experimental results indicate that the prediction model attains a coefficient of determination of 0.9166 on the training set and 0.9149 on the test set. These findings suggest that the model performs well, accounting for more than 91% of the variance in used motorcycle prices and producing stable price predictions without notable overfitting. The system is deployed using Streamlit, enabling users to obtain used motorcycle price predictions in a faster, interactive, and more objective manner. Keywords: Used Motorcycle; Machine Learning; CatBoost; Streamlit Abstrak Penelitian ini dimaksudkan untuk merancang sebuah sistem prediksi harga motor bekas berbasis web dengan memanfaatkan algoritma Categorical Boosting (CatBoost). Permasalahan penelitian berangkat dari praktik penentuan harga motor bekas yang masih bersifat subjektif dan dipengaruhi beragam faktor sehingga kerap menghasilkan estimasi harga yang kurang akurat. Metode yang digunakan mencakup pengumpulan data dari platform OLX Indonesia, preprocessing data, feature engineering, pembagian data menggunakan skema train–test split, serta pemodelan dengan algoritma CatBoost Regressor. Hasil pengujian memperlihatkan bahwa model prediksi memperoleh nilai koefisien determinasi (R²) sebesar 0,9166 pada data latih dan 0,9149 pada data uji. Temuan ini mengindikasikan bahwa model memiliki kinerja yang baik, karena mampu menjelaskan lebih dari 91% variasi harga motor bekas serta menghasilkan prediksi yang konsisten tanpa gejala overfitting yang berarti. Sistem kemudian diimplementasikan menggunakan Streamlit sehingga pengguna dapat memperoleh estimasi harga motor bekas dengan lebih cepat, interaktif, dan bersifat lebih objektif.
Perancangan Sistem Informasi Penjualan Dan Stok Berbasis Web Multi-Cabang Pada Mochi Petshop
This study focuses on Mochi Petshop, a business for pet equipment managing multiple physical stores in Palembang. At present, cashier recording and inter-store inventory management are not yet computerized, often triggering slow data recapitulation, item quantity discrepancies, and obstacles in monitoring daily performance. This study aims to design a multi-branch, web-based sales and inventory information system using the Laravel framework. This research adopts the Rapid Application Development (RAD) model as its development approach. The workflow of this method encompasses four primary phases: initial specification planning, interface design, program coding process, and full operational transition. The developed system supports the management of sales transactions, stock-in, stock-out, inter-branch stock transfers, product returns, and real-time reporting. The Black Box Testing results indicate that all system features operate according to the specified requirements, proving that the system is capable of enhancing data management effectiveness and operational efficiency at Mochi Petshop. Keywords: Sales information system; Inventory; Multi-branch; Laravel; RAD Abstrak Penelitian ini mengambil studi kasus pada Mochi Petshop, sebuah bisnis perlengkapan hewan yang mengelola sejumlah gerai fisik di Palembang. Saat ini, pencatatan kasir dan manajemen persediaan antartoko belum terkomputerisasi, sehingga sering memicu rekapitulasi data yang lambat, selisih jumlah barang, serta kendala dalam pengawasan kinerja harian. Penelitian ini bertujuan merancang sistem informasi penjualan dan stok berbasis web multi-cabang menggunakan framework Laravel. Penelitian ini mengadopsi model kerja Rapid Application Development (RAD) sebagai pendekatan pengembangannya. Alur metode ini mencakup empat fase utama, yakni: perencanaan spesifikasi awal, perancangan antarmuka, proses pengkodean program, serta transisi operasional penuh. Sistem yang dibangun mendukung pengelolaan transaksi penjualan, stok masuk, stok keluar, perpindahan barang antar cabang, retur barang, dan laporan secara real-time. Hasil pengujian Black Box Testing menunjukkan seluruh fitur sistem berjalan sesuai kebutuhan sehingga sistem mampu meningkatkan efektivitas pengelolaan data dan efisiensi operasional pada Mochi Petshop.
Pengembangan Sistem Reporting Purchasing Berbasis Python dan SQL pada PT. X
The Purchasing Division of a pharmaceutical company plays a strategic role in inventory control and distribution fulfillment across retail outlets. Previously, the Key Performance Indicator (KPI) reporting system at PT. X was conducted manually using spreadsheets, requiring up to two working days and being prone to calculation errors that affected employee incentive payments. This study aims to design and implement a web-based KPI reporting system using Python, the Django framework, SQL Server with stored procedures, and the OpenPyXL library. The system was developed using the Waterfall methodology with a modified prototyping approach. Eighteen KPI indicators were classified into four categories: procurement efficiency, inventory and expiration management, distribution planning, and data compliance and negotiation. Data processing employed an SQL Server stored-procedure-based ETL pipeline integrated with Pandas and NumPy. The system reduced report generation time from two working days to less than one hour while eliminating incentive calculation errors. Keywords: Key performance indicator; Reporting automation; ETL pipeline; Purchasing; information systems. Abstrak Divisi purchasing pada perusahaan farmasi menjalankan peran strategis dalam pengendalian stok dan pemenuhan distribusi ke jaringan outlet. Sistem pelaporan Key Performance Indicator (KPI) PT. X sebelumnya dilakukan secara manual menggunakan spreadsheet dengan dua hari kerja dan rentan terhadap kesalahan kalkulasi yang berimplikasi pada pembayaran insentif karyawan. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pelaporan KPI berbasis web menggunakan Python dan framework Django, SQL server dengan stored procedure, dan library openyxl. Sistem dikembangkan menggunakan metode waterfall dan dimodifikasi dengan pendekatan prototipe. 18 indikator KPI dikelompokkan kedalam empat kategori: efisiensi pengadaan (KPI 1), manajemen stok, dan kedaluwarsa (KPI 2), perencanaan distribusi (KPI 3), serta kepatuhan data dan negosiasi (KPI 4). Pengolahan data dilakukan melalui pipeline ETL berbasis SQL Server Stored Procedure dengan mengintegrasikan data heterogen, kemudian ditransformasi menggunakan pandas dan NumPy. Sistem berhasil mereduksi waktu penyusunan laporan dari rata-rata dua hari kerja menjadi kurang dari satu jam dan mengeliminasi kesalahan kalkulasi insentif.
Model Sistem Informasi Permintaan Alokon Berbasis Web pada BKKBN Provinsi Bangka Belitung
BKKBN of the Bangka Belitung Islands Province is responsible for ensuring the availability of contraceptive devices and medicines (alokon) to support family planning programs across regencies and municipalities. However, the existing request process is still conducted manually through official documents, spreadsheets, and conventional communication methods, resulting in delays in data processing, difficulties in tracking request status, and inefficient warehouse inventory management. This study aims to design and implement a web-based alokon request information system that integrates request submission, verification, inventory management, distribution, and reporting processes. The system was developed using the Waterfall method, which includes requirements analysis, system design, implementation, testing, and maintenance stages. The developed application provides several key features, including user authentication, master data management, online request submission, request verification, warehouse stock monitoring, distribution management, Goods Release Certificate (SBBK) generation, and analytical reporting dashboards. The results indicate that the system improves administrative efficiency, accelerates request verification, facilitates real-time inventory monitoring, and enhances data accuracy and information availability. Furthermore, the proposed system contributes a practical implementation model for supporting a more effective, transparent, and integrated contraceptive distribution management process within BKKBN organizations. Keywords: Information System; Alokon; Waterfall; Web; BKKBN Abstrak BKKBN Provinsi Kepulauan Bangka Belitung memiliki tanggung jawab dalam menjamin ketersediaan alat dan obat kontrasepsi (alokon) bagi seluruh kabupaten/kota guna mendukung keberhasilan program keluarga berencana. Namun, proses permintaan alokon yang masih dilakukan secara manual melalui surat, spreadsheet, dan media komunikasi sederhana sering menimbulkan keterlambatan pengolahan data, kesulitan pemantauan status permintaan, serta kurang optimalnya pengelolaan stok gudang. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi permintaan alokon berbasis web yang dapat mendukung proses permintaan, verifikasi, pengelolaan stok, distribusi, dan pelaporan secara terintegrasi. Metode pengembangan sistem yang digunakan adalah Waterfall yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dibangun menggunakan teknologi web dengan fitur utama meliputi autentikasi pengguna, pengelolaan data master, pengajuan permintaan alokon secara daring, verifikasi permintaan, monitoring stok gudang, distribusi barang, pencetakan Surat Bukti Barang Keluar (SBBK), serta dashboard dan laporan analitik. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan efisiensi proses administrasi, mempercepat verifikasi permintaan, mempermudah pemantauan stok secara real-time, serta meningkatkan akurasi dan ketersediaan informasi bagi pengguna. Selain memberikan manfaat praktis bagi BKKBN Provinsi Kepulauan Bangka Belitung, penelitian ini juga menghasilkan model implementasi sistem informasi yang dapat mendukung pengelolaan distribusi alokon secara lebih efektif, transparan, dan terintegrasi.
Evaluasi Backup Cloud Incremental untuk Efisiensi dan Recovery Data Multimedia
Multimedia data management in digital content production companies requires a reliable backup system since event coverage and livestreaming data cannot be reproduced. CV Lesmana Jaya still relies on manual storage based on local media, which is vulnerable to data loss, inefficient in capacity, and slow in recovery. This study aims to evaluate the performance of cloud-based incremental backup compared to conventional full backup in terms of storage efficiency and multimedia data recovery speed. Evaluation was conducted through five backup cycle tests using CV Lesmana Jaya's multimedia dataset by measuring four parameters: storage efficiency, backup speed, Recovery Time Objective (RTO), and Recovery Point Objective (RPO). Results show that the incremental method saves storage capacity by 74.3%, accelerates the backup process by an average of 74.5%, and reduces RTO by up to 82.3% compared to full backup. Cloud-based incremental backup is proven more efficient and faster in data recovery and is therefore recommended as a multimedia data backup strategy at CV Lesmana Jaya. Keywords: Cloud Computing; Data Backup; Incremental Backup; Multimedia; Recovery Time Objective Abstrak Pengelolaan data multimedia pada perusahaan jasa produksi konten digital memerlukan sistem pencadangan yang handal karena data hasil liputan acara dan livestreaming bersifat tidak dapat diulang. CV Lesmana Jaya masih mengandalkan penyimpanan manual berbasis media lokal yang rentan terhadap kehilangan data, tidak efisien dalam kapasitas, dan lambat dalam pemulihan. Penelitian ini bertujuan mengevaluasi kinerja metode incremental backup berbasis cloud dibandingkan metode full backup konvensional dalam hal efisiensi penyimpanan dan kecepatan pemulihan data multimedia. Evaluasi dilakukan melalui pengujian lima siklus backup menggunakan dataset multimedia CV Lesmana Jaya dengan mengukur empat parameter efisiensi penyimpanan, kecepatan backup, Recovery Time Objective (RTO), dan Recovery Point Objective (RPO). Hasil evaluasi menunjukkan metode incremental mampu menghemat kapasitas penyimpanan sebesar 74,3%, mempercepat proses backup rata-rata 74,5%, serta menurunkan RTO hingga 82,3% dibandingkan full backup. Metode incremental backup berbasis cloud terbukti lebih efisien dan lebih cepat dalam pemulihan data sehingga direkomendasikan sebagai strategi pencadangan data multimedia pada CV Lesmana Jaya.
Perancangan dan Pembuatan Sistem Penyimpanan Dokumen Lisensi Berbasis Google Apps Script
This study aimed to develop a license and permit document storage system based on the Google ecosystem to improve document management efficiency in organizations. The problem identified was the manual document storage and retrieval process, which required a long time and increased the risk of delayed document renewal. The method used was the System Development Life Cycle (SDLC) with the Waterfall model, including analysis, design, implementation, and testing stages. The system was developed by integrating Google Forms, Google Drive, and Google Sheets with automation using Google Apps Script. The results showed that the system improved document retrieval efficiency from 300 seconds to 10 seconds, achieving a 96.6% increase. The system also reduced human error and improved document expiration monitoring effectiveness. Keywords: Document Management System; Google Apps Script; Cloud Computing; Automation; Digital Archiving Abstrak Penelitian ini bertujuan untuk mengembangkan sistem penyimpanan dokumen lisensi dan izin berbasis ekosistem Google guna meningkatkan efisiensi pengelolaan dokumen pada organisasi. Permasalahan yang dihadapi adalah proses penyimpanan dan pencarian dokumen yang masih dilakukan secara manual sehingga memerlukan waktu lama dan berisiko terhadap keterlambatan pembaruan dokumen. Metode yang digunakan adalah System Development Life Cycle (SDLC) dengan model Waterfall yang meliputi tahap analisis, desain, implementasi, dan pengujian. Sistem dikembangkan dengan mengintegrasikan Google Forms, Google Drive, dan Google Sheets serta otomatisasi menggunakan Google Apps Script. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan efisiensi waktu pencarian dokumen dari 300 detik menjadi 10 detik atau sebesar 96,6%. Sistem juga mampu mengurangi kesalahan manusia dan meningkatkan efektivitas pemantauan masa berlaku dokumen.
Rancang Bangun Sistem Informasi Marketplace Toko Bahan Kimia Berbasis Android
This research designed and developed an Android-based marketplace information system specifically for chemical stores. The main problem addressed was the difficulty faced by consumers, including small-scale industry practitioners and academics, in obtaining chemical raw materials accompanied by technical specifications and material safety data sheets transparently. The methodology used was prototyping, which included operational requirement analysis, user interface design, and prototype implementation. The server-side development utilized an Application Programming Interface architecture to connect the database with the mobile application. The testing results showed that this application successfully facilitated secure chemical trading transactions, managed volume and mass-based inventory, and integrated product technical information into an easily accessible platform. The conclusion of this research stated that the implementation of a computerized marketplace effectively reduced transaction time and improved the standardization of raw material safety information for users. Keywords: Marketplace; Chemical Store; Android; Prototyping; Application Programming Interface Abstrak Penelitian ini telah merancang dan membangun sistem informasi marketplace khusus toko bahan kimia berbasis Android. Permasalahan utama yang diangkat adalah sulitnya konsumen, baik praktisi industri skala kecil maupun akademisi, dalam memperoleh bahan baku kimia yang dilengkapi dengan spesifikasi teknis dan panduan keselamatan bahan secara transparan. Pendekatan metodologi yang digunakan adalah prototyping, yang mencakup tahapan analisis kebutuhan operasional, perancangan antarmuka pengguna, dan implementasi purwarupa. Pengembangan sisi peladen memanfaatkan arsitektur Application Programming Interface untuk menghubungkan basis data dengan aplikasi seluler. Hasil pengujian menunjukkan bahwa aplikasi ini berhasil memfasilitasi transaksi jual beli bahan kimia secara aman, mengelola inventori berbasis spesifikasi volume dan massa, serta mengintegrasikan informasi teknis produk ke dalam satu platform. Kesimpulan dari penelitian ini menyatakan bahwa penerapan marketplace terkomputasi secara efektif mampu memangkas waktu transaksi dan meningkatkan standardisasi keamanan informasi bahan baku bagi para pengguna.
Evaluasi Usability LMS ELENA Menggunakan Metode System Usability Scale dan Heuristic Evaluation di STT Nurul Fikri
As the primary platform for online learning at STT Terpadu Nurul Fikri, the ELENA LMS requires periodic evaluation to ensure that its interface quality and user interaction patterns remain optimal. Such evaluation is crucial for enabling students to participate actively in virtual classes. This study examines the relationships between system usability, user interaction quality, and student academic engagement. A quantitative approach employing descriptive and explanatory methods was used, involving 120 active students as respondents. Data were collected using the System usability scale (SUS) and Heuristic evaluation—alongside instrument validity and reliability testing—and subsequently analyzed using descriptive statistics and Spearman Rank correlation. The results show mean scores of 34.37 for usability, 34.06 for user interaction, and 34.89 for student engagement. The instruments proved valid, with Cronbach’s Alpha values of 0.616, 0.862, and 0.871, respectively. Correlation analysis revealed significant positive relationships between the variables, with the strongest link observed between user interaction and student engagement (r = 0.743; p < 0.001). These findings confirm that the ELENA LMS effectively supports the online learning process, although improvements to navigation, system feedback, and interface controls are still needed to enhance the user experience. Keywords: Heuristic evaluation; Learning management system; Usability; User interaction; System usability scale Abstrak Sebagai sarana utama pembelajaran daring di STT Terpadu Nurul Fikri, LMS ELENA perlu dievaluasi secara berkala untuk memastikan kualitas antarmuka dan pola interaksi penggunanya tetap optimal. Evaluasi ini penting agar mahasiswa dapat berpartisipasi aktif dalam kelas virtual. Penelitian ini menelaah keterkaitan antara aspek kegunaan sistem, kualitas interaksi pengguna, serta tingkat keterlibatan akademik mahasiswa. Pendekatan kuantitatif dengan metode deskriptif dan eksplanatori digunakan, melibatkan 120 mahasiswa aktif sebagai responden. Data dikumpulkan melalui System usability scale (SUS), Heuristic evaluation, serta uji validitas dan reliabilitas instrumen, kemudian dianalisis dengan statistik deskriptif dan korelasi Spearman Rank. Hasil menunjukkan rata-rata skor usability 34,37, user interaction 34,06, dan student engagement 34,89. Instrumen terbukti valid dengan nilai Cronbach’s Alpha masing-masing 0,616, 0,862, dan 0,871. Analisis korelasi memperlihatkan hubungan positif signifikan antarvariabel, dengan keterkaitan paling kuat antara interaksi pengguna dan keterlibatan mahasiswa (r = 0,743; p < 0,001). Temuan ini menegaskan bahwa LMS ELENA telah mendukung proses pembelajaran daring secara efektif, meskipun perbaikan pada navigasi, umpan balik sistem, dan kontrol antarmuka masih diperlukan untuk meningkatkan pengalaman pengguna.
Pengembangan Digital Acquisition Product Sebagai Layanan Pelanggan di Industri Perbankan
This study evaluates the success of Digital Acquisition Product development through the implementation of the Quick Response Code Indonesian Standard payment system at Bank X using a computational data analytics approach. Most previous studies have focused on consumer adoption through perception-based surveys, leaving a research gap in evaluating the operational capacity of internal banking systems. This study processes real transactional Big Data from 2023 to April 2026 using the Python programming language within the Google Colab environment. The computational stages include data wrangling using the Pandas library, data structure transformation (melting), missing value handling, and the development of custom algorithms to standardize time-log formats. The novelty of this study lies in the application of computational scripts to validate system performance longitudinally. The computational analysis of the 2026 projected data indicates high system scalability, as evidenced by the dominance of transaction loads through digital channels, accounting for 96.1 percent of total transactions compared to physical infrastructure. The study concludes that the Digital Acquisition Product architecture has proven robust in handling increasing data traffic and recommends that banking institutions begin integrating predictive algorithms to ensure the sustainability of the digital server ecosystem. Keywords: Data Analytics; System Evaluation; Descriptive Computing; Python; Digital Acquisition Product. Abstrak Penelitian ini mengevaluasi keberhasilan pengembangan Digital Acquisition Product melalui implementasi sistem pembayaran Quick Response Code Indonesian Standard pada Bank X menggunakan pendekatan data analytics komputasional. Sebagian besar penelitian terdahulu berfokus pada adopsi konsumen melalui survei persepsi, sehingga menyisakan kesenjangan analisis pada evaluasi kapasitas operasional sistem internal perbankan. Penelitian ini memproses data transaksional riil (Big Data) periode 2023 hingga April 2026 menggunakan bahasa pemrograman Python di lingkungan Google Colab. Tahapan komputasi mencakup data wrangling menggunakan pustaka Pandas, transformasi struktur data (melting), penanganan missing values, serta pembuatan algoritma kustom untuk standardisasi format log waktu. Kebaruan studi ini terletak pada penerapan script komputasi untuk memvalidasi performa sistem secara longitudinal. Hasil analisis komputasi pada proyeksi data 2026 menunjukkan skalabilitas sistem yang tinggi, ditandai dengan dominasi beban transaksi pada kanal digital sebesar 96,1 persen dibandingkan infrastruktur fisik. Penelitian ini menyimpulkan bahwa pengembangan arsitektur Digital Acquisition Product terbukti tangguh dalam menangani lonjakan traffic data, dan perbankan disarankan mulai mengintegrasikan algoritma prediktif untuk menjaga keberlanjutan ekosistem server digital.
Sistem Informasi Monitoring Pembangunan pada PT. Rahayu Lestari Sejahtera
The monitoring process of housing construction progress at PT Rahayu Lestari Sejahtera was still carried out through separate communication channels, causing report data to be scattered, recapitulation to take longer, and project progress to be unavailable in real time. This research aimed to build a web-based information system to support centralized reporting, verification, and presentation of construction progress data. The research applied a Research and Development (R&D) approach, while the system development process used Agile Development with a Kanban approach. The application was built using Laravel, Filament, and MySQL, and was equipped with Role-Based Access Control to differentiate access rights for foremen, construction staff, and management. The novelty of the system was the verification of reports by construction staff before information was presented to management, and progress calculation using weighted checklists. User Acceptance Testing produced a feasibility score of 80%, categorized as feasible. Keywords: Progress Monitoring; Information System; Laravel; Kanban; User Acceptance Testing Abstrak Proses pemantauan progres pembangunan perumahan di PT Rahayu Lestari Sejahtera masih berjalan melalui media komunikasi yang terpisah, sehingga data laporan tersebar, rekapitulasi membutuhkan waktu lebih lama, dan perkembangan proyek belum dapat dipantau secara real-time. Penelitian ini bertujuan membangun sistem informasi berbasis web untuk mendukung pelaporan, verifikasi, dan penyajian data progres pembangunan secara terpusat. Metode penelitian yang digunakan adalah Research and Development (R&D), sedangkan proses pengembangan sistem menerapkan Agile Development dengan pendekatan Kanban. Aplikasi dibangun menggunakan Laravel, Filament, dan MySQL, serta dilengkapi Role-Based Access Control untuk membedakan hak akses mandor, staf konstruksi, dan pimpinan. Kebaruan sistem terdapat pada proses verifikasi laporan oleh staf konstruksi sebelum informasi disajikan kepada pimpinan, serta perhitungan progres menggunakan checklist berbobot. Hasil User Acceptance Testing memperoleh nilai kelayakan 80% dengan kategori layak.
Perancangan Sistem Informasi Penjualan Berbasis Web Pada Dina Boutique Palembang
Dina Boutique still conducted sales transactions manually through WhatsApp, resulting in unstructured data recording, delayed information, and discrepancies between sales and stock data. This study aimed to design an integrated web-based e-commerce sales information system using the Laravel framework connected to the stock management system. The Rapid Application Development method was applied through the stages of Requirements Planning, User Design, Construction, and Cutover. Data were collected through interviews, observations, and documentation, while system testing was conducted using Black Box Testing. The results showed that the developed system was able to support online sales transactions, automatically update stock data, provide real-time sales reports, and display sales analysis Dashboards. Based on the testing results, all main system functions operated according to user requirements and improved the operational efficiency of Dina Boutique. Keywords: Sales information system; E-commerce; Laravel; System integration; Sales Dashboard. Abstrak Dina Boutique masih melakukan proses transaksi penjualan secara manual melalui WhatsApp sehingga menyebabkan pencatatan data kurang terstruktur, keterlambatan informasi, dan ketidaksesuaian antara data penjualan dengan stok barang. Penelitian ini bertujuan untuk merancang sistem informasi penjualan e-commerce terintegrasi berbasis web menggunakan framework Laravel yang terhubung dengan sistem manajemen stok. Metode Rapid Application Development digunakan melalui tahapan Requirements Planning, User Design, Construction, dan Cutover. Pengumpulan data dilakukan melalui wawancara, observasi, dan dokumentasi, sedangkan pengujian sistem dilakukan menggunakan Black Box Testing. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mendukung transaksi penjualan online, memperbarui stok secara otomatis, menyajikan laporan penjualan secara real-time, serta menyediakan Dashboard analisis penjualan. Berdasarkan hasil pengujian, seluruh fungsi utama sistem telah berjalan sesuai dengan kebutuhan pengguna dan membantu meningkatkan efisiensi operasional Dina Boutique.
Implementasi AI Agent Berbasis RAG untuk Klasifikasi Pelanggan KBLI 2025
The migration of the ERP system from SAP ECC to SAP S/4HANA requires customer master data to have a complete industry classification that complies with the 2025 Indonesian Standard Industrial Classification (KBLI) to support the implementation of the Business Partner model. This research aims to develop an AI Agent based on Retrieval-Augmented Generation (RAG) to automate the customer classification process within the Master Data Management unit at PT X. The research employs an implementational approach by building a RAG system that integrates the KBLI 2025 knowledge base, hybrid search, and a large language model to classify 235 active customers into five-digit KBLI codes. The system’s performance was evaluated based on the accuracy of the classification results. The research findings indicate that the system achieved an accuracy of 98 per cent and successfully mapped 50 customer line-of-business categories into 21 KBLI Level 1 sectors. These findings demonstrate that the AI Agent is capable of generating standardised customer master data and is ready to support the migration to SAP S/4HANA. Keywords: AI Agent; Retrieval-Augmented Generation; Hybrid Search; Customer Classification; KBLI 2025 Abstrak Migrasi sistem ERP dari SAP ECC ke SAP S/4HANA menuntut data master pelanggan memiliki klasifikasi industri yang lengkap dan sesuai dengan standar Klasifikasi Baku Lapangan Usaha Indonesia (KBLI) 2025 agar mendukung implementasi model Business Partner. Penelitian ini bertujuan mengembangkan AI Agent berbasis Retrieval-Augmented Generation (RAG) untuk mengotomasi proses klasifikasi pelanggan di unit Master Data Management PT X. Penelitian menggunakan pendekatan implementatif dengan membangun sistem RAG yang mengintegrasikan basis pengetahuan KBLI 2025, pencarian hibrida, dan large language model untuk mengklasifikasikan 235 pelanggan aktif ke kode KBLI level lima digit. Kinerja sistem dievaluasi berdasarkan tingkat akurasi hasil klasifikasi. Hasil penelitian menunjukkan bahwa sistem mencapai akurasi sebesar 98% serta berhasil memetakan 50 kategori line of business pelanggan ke dalam 21 sektor KBLI Level 1. Temuan ini menunjukkan bahwa AI Agent mampu menghasilkan data master pelanggan yang terstandarisasi dan siap mendukung migrasi ke SAP S/4HANA.
Design and Evaluation of a Web-Based Helpdesk Ticketing System Using Extreme Programming for Improving IT Service Efficiency
Helpdesk solutions are essential for the proper management of IT service requests within enterprises. Nonetheless, numerous companies continue to depend on manual communication methods, such as telephone and email, resulting in protracted response times, disorganized data, and ineffective service management. This study is to create and assess a web-based helpdesk ticketing system utilizing the Extreme Programming (XP) methodology to enhance IT service efficiency. This research is executed as a case study at PT. INFOSIS-BLU, an IT service firm where the current helpdesk procedure yields an average response time of 6–8 hours and is devoid of centralized documentation. The suggested system incorporates real-time ticket monitoring, technician allocation, and centralized data management to optimize service operations. The assessment results indicate substantial enhancements, comprising a 30% augmentation in operating efficiency, a decrease in response time to below 10 minutes, and user satisfaction attaining 85%. The data demonstrate that XP is proficient in creating flexible and efficient helpdesk systems.
Arsitektur Sistem Informasi Perawatan Fasilitas Praktik Menggunakan Kerangka Kerja TOGAF ADM
The management of practice facility maintenance at the Mechanical Engineering Department of Politeknik Negeri Pontianak covering a workshop (101 machines) and laboratory (86 machines) is still conducted manually, causing missed schedules, inaccurate records, document loss, and inefficient reporting. This study designs an enterprise architecture for a maintenance information system using TOGAF ADM across six phases. Data were collected through observation, interviews, and documentation involving technicians, unit heads, and the department head. The study produced a blueprint comprising 10 business functions, 7 data entities, 5 integrated application modules, and an open-source technology specification. This blueprint serves as a comprehensive guide for developing an integrated, accurate, and efficient practice facility maintenance information system. Keywords: Enterprise architecture; TOGAF ADM; Maintenance Information System; Practice Facilities Abstrak Pengelolaan perawatan fasilitas praktik di Jurusan Teknik Mesin Politeknik Negeri Pontianak yang mencakup bengkel (101 Unit mesin) dan laboratorium (86 Unit mesin) masih dilakukan secara manual, menimbulkan permasalahan berupa jadwal yang sering terlewat, data tidak akurat, dokumen mudah hilang, dan pelaporan tidak efisien. Penelitian ini merancang arsitektur enterprise sistem informasi perawatan menggunakan TOGAF ADM melalui enam fase. Data dikumpulkan via observasi, wawancara, dan dokumentasi terhadap teknisi, kepala bengkel, kepala laboratorium, dan ketua jurusan. Hasil penelitian berupa blueprint arsitektur yang mencakup 10 fungsi bisnis, 7 entitas data, 5 modul aplikasi terintegrasi, dan spesifikasi teknologi berbasis open-source. Blueprint ini menjadi panduan pengembangan sistem informasi perawatan fasilitas praktik yang terintegrasi, akurat, dan efisien.
Implementasi Model Long Short-Term Memory Berbasis RSI dan MACD untuk Prediksi Saham BBCA
This study enhances BBCA stock price forecasting accuracy by overcoming standalone historical data limitations in tracking market momentum. The methodology integrates a Long Short-Term Memory (LSTM) model with Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) technical indicators. Adopting the CRISP-DM framework, BBCA data from 2018 to 2026 were gathered via yfinance, followed by feature engineering and Min-Max Scaler normalization. The structured LSTM model, utilizing three input features and 60-day time steps, was evaluated using RMSE and MAPE metrics. The network achieved an RMSE of IDR 173.99 and a MAPE of 1.56%, satisfying the sub-10% threshold for highly accurate predictions. These outcomes prove that merging RSI and MACD significantly improves LSTM's trend-capturing capability. This hybrid framework is highly viable as an investment decision support system. Keywords: Stock Prediction; BBCA; LSTM; RSI; MACD Abstrak Penelitian ini meningkatkan akurasi prediksi harga saham BBCA dengan mengatasi keterbatasan data historis tunggal dalam membaca momentum pasar. Metodologi yang digunakan mengintegrasikan model Long Short-Term Memory (LSTM) dengan indikator teknikal Relative Strength Index (RSI) dan Moving Average Convergence Divergence (MACD). Mengadopsi kerangka CRISP-DM, data BBCA periode 2018 hingga 2026 diambil melalui yfinance, dilanjutkan rekayasa fitur dan normalisasi Min-Max Scaler. Model LSTM yang dibangun menggunakan tiga fitur input dan time steps 60 hari dievaluasi dengan metrik RMSE dan MAPE. Jaringan ini menghasilkan RMSE sebesar Rp173,99 dan MAPE 1,56%, memenuhi ambang batas di bawah 10% untuk kategori prediksi sangat akurat. Hasil ini membuktikan penggabungan RSI dan MACD secara signifikan meningkatkan kemampuan LSTM dalam menangkap tren. Sistem hibrida ini sangat layak diimplementasikan sebagai pendukung keputusan investasi.
Analisis Pola Penjualan Mobil Honda Menggunakan Pendekatan EDA dan Dashboard Visualisasi Tableau
Vehicle sales data, which continues to grow year after year, generates a significant amount of information, often challenging to analyze optimally when presented solely in static reports. This study aims to analyze Honda car sales patterns for the 2021–2025 period using an Exploratory Data Analysis (EDA) approach combined with a Tableau visualization dashboard. The method used is descriptive quantitative, utilizing Honda wholesale data obtained from GAIKINDO. The research process includes data collection, data cleansing, Exploratory Data Analysis (EDA), dashboard visualization, and usability evaluation using the System Usability Scale (SUS). The variables analyzed include annual sales trends, monthly growth, vehicle models, and vehicle categories. The results show that Honda sales peaked in 2023 before declining in the 2024–2025 period. The 4x2 category and the LCGC segment were listed as the main contributors to sales, while the usability evaluation obtained a SUS score of 68.3. These findings indicate that the developed dashboard is capable of presenting information effectively and is suitable for use as a data-driven decision-making support. Kata kunci: Exploratory Data Analysis; Wholesales Data; Data Visualization; Tableau. Abstrak Data penjualan kendaraan yang terus bertambah dari tahun ke tahun menghasilkan volume informasi yang cukup besar dan sering kali tidak mudah dianalisis secara optimal apabila hanya disajikan dalam bentuk laporan statis. Penelitian ini bertujuan untuk menganalisis pola penjualan mobil Honda pada periode 2021–2025 melalui pendekatan Exploratory Data Analysis (EDA) yang dipadukan dengan dashboard visualisasi Tableau. Metode yang digunakan adalah deskriptif kuantitatif dengan memanfaatkan data wholesales Honda yang diperoleh dari GAIKINDO. Proses penelitian mencakup pengumpulan data, pembersihan data, EDA, visualisasi dashboard, serta evaluasi usability menggunakan System Usability Scale (SUS). Variabel yang dianalisis meliputi tren penjualan tahunan, pertumbuhan bulanan, model kendaraan, dan kategori kendaraan. Hasil penelitian menunjukkan bahwa penjualan Honda mencapai titik tertinggi pada tahun 2023 sebelum mengalami penurunan pada periode 2024–2025. Kategori 4x2 dan segmen LCGC tercatat sebagai kontributor utama penjualan, sementara hasil evaluasi usability memperoleh skor SUS sebesar 68,3. Temuan ini mengindikasikan bahwa dashboard yang dikembangkan mampu menyajikan informasi secara efektif dan layak digunakan sebagai pendukung pengambilan keputusan berbasis data.
Integrasi LBS dan WhatsApp pada Sistem Informasi Transaksi Multi-Cabang Zisue dengan Model RAD
Zisue Restaurant confronts operational hurdles owing to human ordering via WhatsApp, which can result in recording errors, difficulties managing several branches, and the lack of an autonomous delivery cost calculation system. The goal of this study is to include Location-Based Service (LBS) features and WhatsApp notifications into a website-based transaction information system. This system was created utilising the Rapid Application Development (RAD) paradigm, with stages including requirements planning, user interface design, incremental construction, and implementation. Google Maps API is utilised to calculate delivery costs automatically depending on distance, and WhatsApp Gateway is used to provide real-time order status messages. Testing findings demonstrate that the system can reliably compute shipping prices, provide order confirmation notifications in less than 5 seconds, and centrally handle transaction data across all branches. The findings of this study suggest that combining LBS and WhatsApp with the RAD strategy improved operational efficiency and service transparency at Zisue Restaurant. Keywords: LBS; WhatsApp Notification; Transaction System; Multi-branch; Rapid Application Development Abstrak Restoran Zisue menghadapi kendala operasional karena pemesanan dilakukan secara manual melalui WhatsApp, yang dapat mengakibatkan kesalahan pencatatan, kesulitan mengelola beberapa cabang, dan kurangnya sistem perhitungan biaya pengiriman otomatis. Tujuan penelitian ini adalah untuk memasukkan fitur Layanan Berbasis Lokasi dan notifikasi WhatsApp ke dalam sistem informasi transaksi berbasis situs web. Sistem ini dibuat dengan menggunakan paradigma Pengembangan Aplikasi Cepat, dengan tahapan termasuk perencanaan kebutuhan, desain antarmuka pengguna, konstruksi bertahap, dan implementasi. Google Maps API digunakan untuk menghitung biaya pengiriman secara otomatis berdasarkan jarak, dan WhatsApp Gateway digunakan untuk memberikan pesan status pesanan secara real-time. Hasil pengujian menunjukkan bahwa sistem dapat menghitung harga pengiriman dengan andal, memberikan notifikasi konfirmasi pesanan dalam waktu kurang dari 5 detik, dan menangani data transaksi secara terpusat di semua cabang. Temuan penelitian ini menunjukkan bahwa penggabungan LBS dan WhatsApp dengan strategi RAD meningkatkan efisiensi operasional dan transparansi layanan di Restoran Zisue.
Analisis dan Penerapan Hybrid Cloud dalam Backup Data Multimedia pada Kegiatan Liputan dan Livestreaming
Multimedia data management in coverage and livestreaming activities had a high risk of data loss when using conventional local storage methods. This study aimed to analyze and implement a hybrid cloud-based multimedia data backup system for coverage and livestreaming activities at CV. Lesmana Jaya. The research applied the Prototyping method through problem identification, system requirements analysis, system design, implementation, and testing stages. The implemented system integrated local storage and cloud-based storage to support multimedia data backup and distribution processes. The results showed that the implementation of the hybrid cloud system improved the security and effectiveness of multimedia data management. Based on system testing, the proposed system increased backup process efficiency by 65.6% compared to the previous method and accelerated multimedia data distribution to editors and clients. Keywords: Hybrid cloud; Data backup; Multimedia; Livestreaming; Cloud storage Abstrak Pengelolaan data multimedia pada kegiatan liputan dan livestreaming memiliki risiko kehilangan data yang cukup tinggi apabila masih menggunakan metode penyimpanan manual berbasis media lokal. Penelitian ini bertujuan untuk menganalisis dan menerapkan sistem backup data multimedia berbasis hybrid cloud pada kegiatan liputan dan livestreaming di CV. Lesmana Jaya. Metode penelitian yang digunakan adalah Prototyping dengan tahapan identifikasi masalah, analisis kebutuhan sistem, perancangan sistem, implementasi, dan pengujian sistem. Sistem yang diterapkan mengintegrasikan penyimpanan lokal dan penyimpanan berbasis cloud untuk mendukung proses backup dan distribusi data multimedia. Hasil penelitian menunjukkan bahwa penerapan sistem hybrid cloud mampu meningkatkan keamanan dan efektivitas pengelolaan data multimedia. Berdasarkan hasil pengujian, sistem berhasil meningkatkan efisiensi proses backup data sebesar 65,6% dibandingkan metode sebelumnya serta mempercepat proses distribusi data kepada editor dan klien.
Analisis Dampak Sistem Informasi Bisnis terhadap Kinerja dan Keberlanjutan UMKM: Systematic Literature Review
Digital transformation encourages micro, small, and medium enterprises to adopt Business Information Systems to improve organizational performance and business sustainability, yet existing evidence remains fragmented. This study aims to identify the forms of BIS implementation in MSMEs and analyze their impacts on organizational performance and business sustainability. A Systematic Literature Review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted by reviewing 58 scientific articles published between 2020 and 2025. The findings indicate that Accounting Information Systems are the most widely implemented BIS, followed by e-commerce, Management Information Systems, and artificial intelligence-based technologies. Overall, BIS implementation improves operational efficiency, productivity, decision-making quality, and business sustainability by strengthening competitiveness and organizational resilience. Keywords: Business Information Systems; MSMEs; Organizational performance; Business sustainability; Systematic Literature Review Abstrak Transformasi digital mendorong UMKM menerapkan Sistem Informasi Bisnis untuk meningkatkan kinerja dan keberlanjutan usaha, namun hasil penelitian masih tersebar dan belum terintegrasi. Penelitian ini bertujuan mengidentifikasi bentuk penerapan SIB pada UMKM serta menganalisis dampaknya terhadap kinerja dan keberlanjutan usaha. Metode yang digunakan adalah Systematic Literature Review berbasis pedoman Preferred Reporting Items for Systematic Reviews and Meta-Analyses dengan menganalisis 58 artikel ilmiah periode 2020-2025. Hasil penelitian menunjukkan bahwa Sistem Informasi Akuntansi merupakan bentuk SIB yang paling banyak diterapkan, diikuti oleh e-commerce, Sistem Informasi Manajemen, dan teknologi berbasis kecerdasan buatan. Penerapan SIB terbukti meningkatkan efisiensi operasional, produktivitas, kualitas pengambilan keputusan, serta mendukung keberlanjutan usaha melalui peningkatan daya saing dan ketahanan organisasi.
Perbandingan Arsitektur MobileNetV2 dan EfficientNet-B0 untuk Klasifikasi Tingkat Kematangan Buah Pepaya berdasarkan Citra RGB
Manual assessment of papaya ripeness was prone to inconsistency because visual differences between ripeness stages could be affected by color similarity, lighting, and transitional fruit characteristics. This study compared MobileNetV2 and EfficientNet-B0 for classifying papaya ripeness from RGB images by integrating dataset deduplication and model validation. The initial dataset contained 500 images in three classes: mature, partially mature, and immature. After duplicate images were removed using SHA-256, 246 unique images were obtained. The models were trained using transfer learning with ImageNet weights, stratified data splitting, and five-fold stratified cross-validation. Testing on the deduplicated dataset showed that MobileNetV2 achieved 95.92% accuracy, while EfficientNet-B0 achieved 93.88%. MobileNetV2 was more efficient in terms of model size and inference time, whereas EfficientNet-B0 was more stable in cross-validation. These findings showed that dataset deduplication, efficiency evaluation, and visual interpretation produced a more representative model assessment. Keywords: Papaya ripeness classification; Dataset deduplication; Transfer learning; MobileNetV2; EfficientNet-B0 Abstrak Penilaian manual terhadap kematangan buah pepaya dapat menghasilkan ketidakkonsistenan karena perbedaan visual antartingkat kematangan dipengaruhi oleh kemiripan warna, pencahayaan, dan karakter buah pada fase transisi. Penelitian ini membandingkan MobileNetV2 dan EfficientNet-B0 untuk klasifikasi tingkat kematangan buah pepaya berbasis citra RGB dengan mengintegrasikan deduplikasi dataset dan validasi model. Dataset awal terdiri dari 500 citra dalam tiga kelas, yaitu mature, partially mature, dan immature. Setelah citra duplikat dihapus menggunakan SHA-256, diperoleh 246 citra unik. Model dilatih menggunakan transfer learning dengan bobot ImageNet, stratified split, dan 5-fold stratified cross-validation. Hasil pengujian pada dataset hasil deduplikasi menunjukkan MobileNetV2 memperoleh akurasi 95,92%, sedangkan EfficientNet-B0 memperoleh 93,88%. MobileNetV2 lebih efisien dari sisi ukuran model dan waktu inferensi, sedangkan EfficientNet-B0 lebih stabil pada validasi silang. Temuan ini menunjukkan bahwa deduplikasi dataset, evaluasi efisiensi, dan interpretasi visual menghasilkan penilaian model yang lebih representatif.
Evaluasi WMS Menggunakan PIECES dan Analisis Gap pada Gema Insani Press
A Warehouse management system (WMS) plays a crucial role in supporting inventory management and the distribution of goods. Evaluating the system’s Service quality from the users’ perspective is necessary to ensure it meets the company’s needs. This study aims to evaluate the WMS at Gema Insani Press using the PIECES Framework and Gap Analysis. The study employs a descriptive quantitative approach with saturation sampling involving 20 WMS users. Data were collected through questionnaires and observations, then analyzed using validity and reliability tests, PIECES analysis, and Gap Analysis. The results showed that all dimensions received good ratings with actual scores ranging from 3.76 to 3.89. The Efficiency dimension received the highest score (3.89), while the Information dimension received the lowest (3.76). The Gap Analysis revealed that the Information dimension had the largest gap (0.18), making it a priority for system development. The research results indicate that the integration of the PIECES Framework and Gap Analysis is effective for evaluating quality and determining priorities for improving warehouse Information systems. Keywords: Warehouse management system; PIECES Framework; Gap Analysis; Information System Evaluation; Warehousing. Abstrak Warehouse management system (WMS) berperan penting dalam mendukung pengelolaan persediaan dan distribusi barang. Evaluasi kualitas layanan sistem dari perspektif pengguna diperlukan untuk memastikan kesesuaiannya dengan kebutuhan perusahaan. Penelitian ini bertujuan mengevaluasi WMS di Gema Insani Press menggunakan PIECES Framework dan Analisis Gap. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan sampling jenuh yang melibatkan 20 pengguna WMS. Data dikumpulkan melalui kuesioner dan observasi, kemudian dianalisis menggunakan uji validitas, reliabilitas, analisis PIECES, dan Analisis Gap. Hasil menunjukkan seluruh dimensi memperoleh penilaian baik dengan nilai aktual 3,76–3,89. Dimensi Efficiency memperoleh nilai tertinggi (3,89), sedangkan Information terendah (3,76). Analisis Gap menunjukkan dimensi Information memiliki kesenjangan terbesar (0,18) sehingga menjadi prioritas pengembangan sistem. Hasil penelitian menunjukkan bahwa integrasi PIECES Framework dan Analisis Gap efektif untuk mengevaluasi kualitas serta menentukan prioritas peningkatan sistem informasi pergudangan.
Pengembangan dan Evaluasi Sistem Informasi Penjualan Berbasis Web melalui Usability dan Efisiensi Operasional
Previously, all sales transactions at Mahmud Racing Apparel were managed manually through social media, leading to difficulties in data tracking, high susceptibility to recording errors, and delays in compiling sales reports. To address these challenges, this research centers on the design and engineering of a digital data management platform utilizing the Rapid Application Development (RAD) approach, alongside functional verification and the System Usability Scale (SUS) framework. All planned testing cases were accomplished with zero average SUS score reached 82, which is classified as "excellent," and the duration of each observed operational activity became significantly shorter, with the greatest time savings found in order data retrieval (77.78%) and sales report compilation (72.22%). These outcomes underscore how the engineered platform stands as exceptionally practical in daily operations, while actively contributes to fostering MSME digitalization in the custom apparel sector. Keyywords: Online sales management system; Rapid Application Development; System Usability Scale; operational efficiency; MSMEs Abstrak Sebelumnya, seluruh transaksi penjualan di Mahmud Racing Apparel dikelola secara manual melalui media sosial, sehingga memicu kendala dalam pelacakan data, rentan terhadap kesalahan pencatatan, serta keterlambatan dalam penyusunan laporan penjualan. Guna mengatasi kendala tersebut, penelitian ini menitikberatkan pada perancangan dan pembangunan platform digital manajemen data lewat pendekatan Rapid Application Development (RAD), pengujian fungsionalitas, serta instrumen System Usability Scale (SUS). Seluruh skenario pengujian yang direncanakan berhasil diselesaikan tanpa kesalahan, dengan skor rata-rata SUS mencapai 82 yang diklasifikasikan sebagai "sangat baik" (excellent). Selain itu, durasi dari setiap aktivitas operasional yang diamati menjadi jauh lebih singkat, di mana penghematan waktu paling signifikan ditemukan pada penarikan data pesanan (77,78%) dan penyusunan laporan penjualan (72,22%). Temuan ini memperkokoh bahwasanya platform yang dibangun berdiri sebagai solusi yang sangat praktis dalam operasional sehari-hari, sekaligus berkontribusi aktif dalam mendorong digitalisasi UMKM di sektor konveksi kustom.