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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Fajriah, Nursyamsiah
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Rancang Bangun Sistem Pendaftaran Peserta Didik Baru (PPDB) Berbasis Website Di RA Khairul Ummah Dengan Metode Waterfall Gajah, Handika; Febiola, Kintan; Fajriah, Nursyamsiah; Ilham, Farizi
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 3 No. 2 (2025): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The rapid advancement of technology has significantly impacted various sectors, including education. One area affected by this digital shift is the administrative process of student registration. This report discusses the design and development of a web-based system for new student registration (PPDB) at RA Khairul Ummah, aimed at replacing the inefficient and time-consuming manual registration process. The system was developed using the Waterfall method, which includes requirements analysis, system design, implementation, testing, and maintenance. PHP was used for server-side programming, while MySQL was applied as the database management system. The system allows prospective students to register online, upload required documents, and track registration status in real-time. The implementation of this system significantly improves efficiency, data accuracy, and reduces processing time. Additionally, it simplifies the management of registrations and broadens the reach of information. This project helps RA Khairul Ummah adapt to the digital era and is expected to inspire other educational institutions to adopt similar digital solutions.
Implementasi Metode K-Means Clustering dan Association Rules Apriori untuk Pengelolaan Stok Obat Fajriah, Nursyamsiah; Tassia, Shelvi Eka
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.12088

Abstract

Drug inventory management at Klinik Pratama Kencana was previously performed through manual or semi-manual recording, making stock monitoring and procurement decisions less effective. This study develops a web-based drug inventory management system by integrating K-Means Clustering and Apriori Association Rules. Historical stock and drug-out transaction data from January to March 2026 were processed using a descriptive quantitative applied-research approach. K-Means used initial stock, incoming stock, outgoing stock, and remaining stock attributes after Min-Max normalization to classify 64 drugs into fast-moving, medium-moving, and slow-moving groups. Apriori analyzed 597 transaction baskets with a minimum support of 5% and a minimum confidence of 40%. The clustering produced 15 fast-moving, 27 medium-moving, and 22 slow-moving drugs. Apriori generated several strong rules; the rule Acetylcysteine to Ambroxol achieved 11.06% support, 85.71% confidence, and a lift ratio of 5.39. System calculations matched Microsoft Excel validation results, all tested functions were valid, and five users gave a 96% acceptance score. The integrated system provides stock status, restock recommendations, monthly reports, and co-occurrence patterns to support more structured inventory decisions. By combining stock movement classification with drug co-occurrence patterns, the system helps administrators prioritize restocking together with related medicines, thereby reducing manual checking and improving inventory monitoring efficiency.
Co-Authors Febiola, Kintan Gajah, Handika Ilham, Farizi Tassia, Shelvi Eka