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Designing a Mobile-Based Employee Information System Using the Design Thinking Approach Tiara Arzhety Lubis; Muhammad Dedi Irawan; Dimas Ibnu Muthi
Bigint Computing Journal Vol 3 No 1 (2025)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v3i1.988

Abstract

This research focuses on enhancing workforce management at PT Perkebunan Nusantara IV by implementing a mobile-based personnel information system. The study addresses inefficiencies in manual HR processes, such as delays in task approvals and limited accessibility to employee data. By applying the Design Thinking methodology, the research identifies key challenges, generates solutions, and tests prototypes to develop an intuitive system. The final product improves workflow efficiency and user satisfaction, as demonstrated by usability testing results. Limitations include dependency on internet connectivity and the scope of testing. Future developments could integrate predictive analytics and expand features for comprehensive HR management
Drug Inventory Management Information System Using VEN and ABC Methods in a Pharmacy Tiara Arzhety Lubis; Fathiya Hasyifah Sibarani
Jurnal IPTEK Bagi Masyarakat Vol 6 No 2 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v6i2.1918

Abstract

Manual drug inventory management in community pharmacies is vulnerable to recording errors, stock imbalance, and expiration when priority control is not applied systematically. This study developed SiStok, a web-based drug inventory management system integrating VEN (Vital, Essential, Non-Essential) and ABC classifications into a nine-cell priority matrix. Requirements were identified through observation and unstructured interviews with the pharmacy owner and responsible pharmacist. Quantitative analysis used 12 months of stock-movement data (11 May 2025–11 May 2026); after data cleaning, 1,994 unique drug SKUs were analyzed. VEN categories were assigned by the responsible pharmacist, while ABC groups were calculated from consumption value using cumulative thresholds of 80%, 95%, and 100%. The system was implemented using PHP, JavaScript, and MySQL under a waterfall model and verified through 12 black-box scenarios, all valid. Essential items dominated VEN (1,654; 82.95%) and represented IDR 1,535,214,692 (92.51%) of consumption value. Group A contained 350 items (17.55%) but accounted for IDR 1,327,287,230 (79.98%). The ABC-VEN matrix assigns AV, AE, AN, BV, and CV to Priority I; BE, BN, and CE to Priority II; and CN to Priority III. Further evaluation should assess user acceptance, usability, security, performance, reliability, and multi-site implementation.