OptiPharm SPK
About the Project
OptiPharm SPK is a web-based decision support system (DSS) designed specifically to assist pharmacies in determining the best drug supplier recommendations objectively, quickly, and measurably. The application is built by implementing a multi-criteria analytical decision-making method using the ELECTRE (Elimination and Choice Translating Reality) algorithm. The system is mathematically programmed with absolute precision and aligned 100% with the parameters and logic from the scientific journal: "Aplikasi Sistem Pendukung Keputusan Pemilihan Supplier Obat Menggunakan Metode ELECTRE di Apotek Crystal Farma Oebobo" (Jurnal J-ICON, Vol. 10 No. 1, March 2022).
Key Features
✨ Main Features
This system offers several key features to facilitate pharmacy administrators in managing data and making decisions:
- 🔒 Admin Security Authentication: A protected login system utilizing JSON Web Tokens (JWT) and bcryptjs password encryption to prevent unauthorized access to the dashboard.
- 📦 Supplier Data Management (CRUD): Complete management of active drug supplier data, supporting a soft-delete mechanism to preserve the integrity of historical calculation records.
- 💊 Drug Data Management (CRUD): A master data registry for medicines to facilitate supplier ranking tailored to specific types of drugs.
- ⚖️ Dynamic Criteria Weight Settings: Adjustment of priority weights (scale 1-5) across 6 main criteria (Price, Discount, Expiration Date, Stock, Distance, Payment System) directly via the admin interface.
- 🧮 Automated ELECTRE Calculation Engine: A multi-stage guided assessment process that instantly executes the 12 mathematical steps of the ELECTRE algorithm on the backend.
- 📊 Chart Visualization & Matrix Transparency: Presentation of the final results using an interactive bar chart and detailed visualization of transition matrices at every step of the calculation (Normalization, Concordance/Discordance, Thresholds, up to the Dominant Aggregate Matrix).
- 📄 PDF Report Export: A feature to instantly print a summary report of the recommendation results directly to PDF format (client-side generation) for physical archival needs.
Project Specs
- Category
- Web Application