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All Journal IKRA-ITH EKONOMIKA Journal of Information Systems and Informatics Indonesian Journal of Innovation Studies
Kumajas, Sondy Campvid
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice

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Genetic Algorithm-Based Web Scheduler Enhances Fairness in Duty Allocation: Aplikasi Penjadwalan Berbasis Algoritma Genetika untuk Meningkatkan Keadilan Distribusi Piket Onibala, Rahellea Joiby; Kumajas, Sondy Campvid; Moningkey, Efraim Ronald Stefanus
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1863

Abstract

This study aims to design and build a website-based application for scheduling fire and rescue personnel on duty at the Minahasa Regency Fire Department by implementing genetic algorithms. The main problem encountered is the manual scheduling process, which causes imbalances in schedule distribution, delays in information, and difficulties in adjusting when personnel changes occur. The system was developed using the Rapid Application Development (RAD) method thorugh the stages of needs identification, design, implementation, and testing. Genetic algorithms are used as an optimization mehod to produce a fair, efficient, and conflict free schedule. The system also provides a permit submission mechanism and automatic notifications to support officer communication and coordination. The results of User Acceptance Testing (UAT) showed an average score of 4.5 (versy good category), indicating that the system is easy to use and meets operational needs. Thus, this application contributes to improving the efficiency, accuracy, and transparency of the on-duty scheduling process at the Minahasa Regency Fire Department. HIGHLIGHTS • Ensures fair and conflict-free duty schedules using genetic algorithm optimization.• Improves communication and coordination with automated permit and notification features.• Achieves high usability with 4.5 UAT score, supporting operational readiness. KEYWORDS Genetic Algorithm; Scheduling System; Firefighters; Web-Based Application; Optimization
Implementasi Algoritma First Come First Served (FCFS) Pada Sistem Informasi Pengelolaan Antrian Online Di UPC Pegadaian Tomohon Kumowal, Jaklin Agnes; Kumajas, Sondy Campvid; Hasibuan, Alfiansyah
IKRAITH-EKONOMIKA Vol. 9 No. 1 (2026): IKRAITH-EKONOMIKA Vol 9 No 1 Maret 2026
Publisher : Universitas Persada Indonesia YAI

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Abstract

Pegadaian merupakan lembaga keuangan yang memberikan layanan gadai kepada masyarakat. Salah satu permasalahan yang masih dihadapi di UPC Pegadaian Tomohon adalah sistem antrian yang masih dilakukan secara manual, sehingga menyebabkan ketidakteraturan pemanggilan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan algoritma FCFS pada sistem informasi pengelolaan antrian online berbasis web di UPC Pegadaian Tomohon. Metode pengembangan sistem adalah Extreme Programming. Sistem dikembangkan menggunakan PHP dan MySQL, serta diintegrasikan dengan WhatsApp API untuk pengiriman notifikasi dan API harga emas untuk menampilkan informasi harga emas secara real-time. Hasil penelitian menunjukkan bahwa sistem antrian berbasis web dengan algoritma FCFS mampu mengelola antrian secara adil berdasarkan urutan kedatangan nasabah. Integrasi notifikasi WhatsApp membantu nasabah memperoleh informasi giliran secara langsung, sementara fitur harga emas real-time memberikan nilai tambah informasi layanan serta meningkatkan kualitas layanan.
A Web-Based Disaster Report Recapitulation System Using the Simple Additive Weighting Method Palandeng, Fanuel Juventino; Kumajas, Sondy Campvid; Santa, Kristofel
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1410

Abstract

Many regional disaster management agencies still manage incident reporting through conventional, semi-manual workflows (e.g., spreadsheets and paper archives). These practices often create repetitive recapitulation tasks, increase the likelihood of data inconsistency, and produce reports that remain largely descriptive—limiting analytical support for timely, evidence-based decision-making. To address this limitation, this study develops a web-based disaster reporting and recapitulation system integrated with the Simple Additive Weighting (SAW) method to generate an event-level Impact Index for prioritization. The system is built using a Prototyping approach, enabling iterative refinement through user feedback to ensure operational fit. SAW is applied using weighted criteria—number of casualties, affected families, damage level, and disaster type—so that each recorded event can be scored and ranked automatically. In contrast to many prior disaster-related SAW applications that emphasize beneficiary selection or aid distribution, this research applies SAW for internal managerial evaluation, prioritizing disaster events themselves to support organizational review and mitigation planning. A case study at BPBD Minahasa Regency demonstrates the system’s feasibility and performance: Black Box Testing achieved a 100% functional success rate, and manual SAW verification confirmed that automated Impact Index outputs are mathematically consistent with theoretical calculations. Overall, the proposed application offers a structured and transparent analytical tool to standardize reporting, accelerate recapitulation, and strengthen decision support through objective impact-based ranking.
Co-Authors Hasibuan, Alfiansyah Kristofel Santa Kumowal, Jaklin Agnes Moningkey, Efraim Ronald Stefanus Onibala, Rahellea Joiby Palandeng, Fanuel Juventino