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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Salma Kharida
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Computer Science & IT

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Optimasi Website Pengelompokan Pekerja Menggunakan Metode Fuzzy C-Means di Disnaker Perindag Kota Binjai Salma Kharida; Safwandi Safwandi; Rini Meiyanti
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 7 No 1 (2026): October 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v7i1.15715

Abstract

This study aims to develop a web-based worker clustering system at Disnaker Perindag Binjai City using the Fuzzy C-Means (FCM) method. Data from 387 registered workers between 2022–2025 were processed based on age, education, work experience, expertise, and certifications. Data processing steps included cleaning, normalization, and clustering with parameters (c)=4, (m)=2, (ε) =0,0001, and a 100-iteration limit. The system classifies workers into four groups based on work readiness and competence. Implemented using Python, Flask, and SQLite, the web application features data management, automated clustering, and result visualization. Evaluation using the Silhouette Coefficient demonstrates that FCM effectively clusters workers into four groups with a balanced distribution and high clustering performance. This system is expected to support more structured workforce management.
Co-Authors Rini Meiyanti Safwandi Safwandi