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All Journal Infotech Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Manajemen Informatika dan Sistem Informasi Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Sains Informatika Terapan (JSIT) Computing and Education Technology Journal Journal of Information Technology Edumaspul: Jurnal Pendidikan Jurnal Teknoinfo Journal of World Future Medicine, Health and Nursing
Abdullah Ardi
Politeknik Hasnur
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Other

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Journal : journal of information technology

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Optimizing Medical Equipment Inventory Management through Web-Based System Implementation for Real-Time Monitoring and Alerts Mega Wahyu Rhamadani; Abdullah Ardi; Adina Apriyani
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2221

Abstract

Manual inventory processes at PT Borneo Sejahtera Medika resulted in an 18.2% stock discrepancy rate, frequent expired items, and delayed procurement decisions. This study develops and empirically evaluates a web-based inventory management system integrating real-time monitoring, automated expiration alerts, and demand forecasting. A six-month before–after analysis was conducted to measure system impact using discrepancy rate, operational performance indicators, and forecasting accuracy metrics. The results show that the discrepancy rate decreased from 18.2% to 13.6%, representing a relative improvement of 25.27%. Operational performance improved significantly, with stock checking time reduced by 52%, expired items reduced by 57%, and emergency procurement reduced by 31%. The forecasting module achieved a Mean Absolute Percentage Error (MAPE) of 5.00%, indicating acceptable short-term prediction accuracy. These findings demonstrate that the implemented system provides measurable improvements in data accuracy, operational efficiency, and inventory control within a healthcare distribution context. 
Hierarchical SAW with AHP-Derived Weights for Mustahik Prioritization: Benchmarking and Validation in Zakat Institutions Adina Apriyani; Abdullah Ardi
J-INTECH ( Journal of Information and Technology) Vol 14 No 03 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i03.2381

Abstract

Manual mustahik (zakat beneficiary) selection in Indonesian Zakat Collection Units (UPZ) is prone to transcription errors, recency bias, and poor scalability — undermining the equitability and auditability required under BAZNAS institutional standards. This study proposes a web-based Decision Support System (DSS) integrating a hierarchical Simple Additive Weighting (SAW) model with Analytic Hierarchy Process (AHP)-derived criterion weights. A five-criterion, eleven-sub-criterion model was developed from BAZNAS assessment standards and validated by three domain experts, yielding a Consistency Ratio of CR = 0.033 (< 0.10). SAW rankings were benchmarked against TOPSIS and VIKOR using Spearman’s ρ and Kendall’s τ on a 15-candidate dataset, indicating strong preliminary agreement (SAW–TOPSIS: ρ = 0.943; SAW–VIKOR: ρ = 0.886), pending larger-dataset replication. Sensitivity analysis confirmed top-3 ranking stability under all ±10% and most ±20% weight perturbations. Performance benchmarking demonstrated linear scalability with sub-100 ms computation at N ≤ 1,000 candidates. Black Box testing across 63 scenarios achieved a 100% pass rate. The system was implemented using the Laravel MVC framework with a role-based three-tier approval workflow (Surveyor → Admin → UPZ Head). Primary limitations include a small expert sample (n = 3), a limited validation dataset (N = 15), and the absence of formal User Acceptance Testing, which constitutes the primary direction for future research.
Co-Authors A. Rayhan Alief Adina Apriyani Adina Apriyani Ainun Jariah Akhmad Rifki Nurrahman Andri Kurniawan Andriani Aurum, Emma Valensia Ayu Safitri Bachtiar Nasution Budi Styawan Chevi Herli Sumerli A Dadang Muhammad Hasyim Dito Anurogo Guna, Buky Wibawa Karya Haji Ahmad Makie Jiki Romadoni Jumadi Nur Khaerudin . Mega Wahyu Rhamadani Mega Wahyu Rhamadani Muhammad Sihrowardi Noor Diah Erlinawati Nor Haniah Tomi Apra Santosa