The developed system successfully performs all major functions, including managing drug, category, and supplier data; recording purchase and sales transactions; automatically updating inventory; providing notifications for minimum stock levels and medicines approaching their expiration dates; and printing transaction reports.
Abstract
Drug data management in most small and medium-sized pharmacies in Indonesia is still carried out manually through ledger books or separate electronic spreadsheets for purchasing, sales, and inventory data. This condition creates various challenges, including recording errors, delays in report preparation, difficulties in monitoring minimum stock levels, and the risk of expired medicines not being detected at an early stage. This study aims to design and implement a web-based pharmacy information system capable of integrating drug data management, purchase transactions, sales transactions, inventory monitoring, and reporting within a single platform. The system development method employed was the waterfall model, consisting of requirements analysis, system design using Unified Modeling Language (UML) and Entity Relationship Diagram (ERD), implementation using the PHP programming language with a MySQL database, and system testing using the black box testing method with the equivalence partitioning technique. The results show that the developed system successfully performs all major functions, including managing drug, category, and supplier data; recording purchase and sales transactions; automatically updating inventory; providing notifications for minimum stock levels and medicines approaching their expiration dates; and printing transaction reports. Black box testing of 15 functional scenarios showed that all scenarios operated as expected and were considered valid. The system is expected to improve data accuracy, accelerate transaction processes, and support decision-making in pharmaceutical procurement at pharmacies.
The results demonstrate that the developed system successfully digitizes processes—including ordering, menu management, transactions, and sales reporting—through computerization, thereby improving service efficiency and expanding market reach.
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Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.