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All Journal JURIKOM (Jurnal Riset Komputer) Bubungan Tinggi: Jurnal Pengabdian Masyarakat
Nurizal Dwi Priandani
UIN Maulana Malik Ibrahim Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Social Sciences Other

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Penerapan Algoritma Genetika Pada Aplikasi Optimasi Penentuan Kelompok KKM Reguler UIN Maliki Berbasis Web Adi Novendra Putra; Nurizal Dwi Priandani
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9736

Abstract

A genetic algorithm was implemented in a web-based application to optimize the formation of Regular KKM groups at UIN Maulana Malik Ibrahim Malang. The main contribution of this study was reflected in the formulation of constraint rules that were aligned with the requirements of KKM group assignment, so that a fitness function different from those used in previous studies was established [15]. Group formation was carried out by considering four constraints, namely the presence of at least one HTQ member in each group, a low ratio of duplicated majors within a group, a gender proportion aligned with the data distribution, and an even number of members across groups. In addition, the algorithm was integrated into a web-based application so that the group formation process was not only optimized, but also supported by a more interactive system with a high level of usability. The system interface was developed using Laravel on the front-end side. The computational process was executed using Python on the back-end side. The relatively long computation time of the genetic algorithm was handled by applying a flagging-process mechanism in the database so that request timeouts could be avoided. Parameter testing was conducted on Popsize, Generation, Crossover Rate, and Mutation  Rate to obtain the best configuration. The test results showed that the best solution was produced at the configuration of Popsize 70, Generation 400, Crossover Rate 0.5, and Mutation  Rate 0.5, with a average fitness value of 0.983684211. The evaluation results showed that the number of groups fulfilling all criteria was increased from 82 groups to 177 groups after optimization. Thus, a more optimal, structured, and institutionally appropriate KKM group formation was achieved through the implementation of an interactive web-based system using a genetic algorithm.
Pamdesku: An ABCD-Driven Digital Solution for PAMDes Service Management Nurizal Dwi Priandani; Okta Qomaruddin Aziz; Fajar Rohman Hariri; Wahyu Hariyanto; Shoffin Nahwa Utama
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 8, No 1 (2026): FEBRUARY 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v8i1.17196

Abstract

Village-owned drinking water enterprises in Indonesia have required better tools for metering, billing, and payment to replace fragmented paper-based workflows. This work aimed to design, implement, and evaluate a web-based information system (PAMDESKU) for a village water enterprise, while strengthening local capacity through the Asset-Based Community Development (ABCD) approach. A web-based application was developed and deployed with modules for customer data, tariffs, meter readings, billing, payments, and reporting, alongside safeguards for authorization, logging, and backup, which was named PAMDESKU. Baseline usability had been poor; after implementation and mentoring, the SUS score increased to the “Good to Use” range, with concurrent reductions in data entry errors and reporting time and improved transparency of billing information. The coupling of ABCD with end-to-end digitalization enabled a locally owned and sustainable service transformation. The approach yielded measurable usability and efficiency improvements and offers a replicable pathway for other village enterprises pursuing Smart Village objectives.
Co-Authors Adi Novendra Putra Fajar Rohman Hariri Okta Qomaruddin Aziz Shoffin Nahwa Utama Wahyu Hariyanto