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All Journal Bulletin of Information Technology (BIT) Technema: Journal of Intelligent Engineering and Computing
Martinus Gawi Tiga
Universitas Raharja
Computer Science & IT

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Pemanfaatan Algoritma K-Medoids Clustering dalam Menentukan Pendapatan Bersih Komoditas Pertanian Faisal Muhammad; Wiranti Sri Utami; Muhammad Subali; Janu Ilham Saputo; Haryanto; Martinus Gawi Tiga
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2682

Abstract

Agricultural products are one of the sectors that have a major role in the Indonesian economy. Currently, Indonesia is the largest producer in the world that produces Palm Oil, Cloves, Cinnamon, Nutmeg, and many others. Abundant agricultural products can be applied to research using Data Mining techniques. Data Mining is a technique that applies statistical analysis and artificial intelligence in extracting useful information from a database. In this study the author will use the K-Medoids method, K-Medoids is one of the Data Mining techniques. Analysis of K-Medoids results uses the silhouette coefficient which is used to measure the distance between clusters. The objective value using K-Medoids cluster analysis on the dataset used is 5.742047 and 5.093438. After conducting cluster analysis with the silhouette coefficient, the best results obtained are 2 clusters from 12 data and 12 attributes.
Information System for Monitoring the Progress of Clean Water Pipeline Installation Projects Using A Web-Based Dashboard and the Prototype Model Method at PT Bestindo Putra Mandiri Martinus Gawi Tiga; Nur Azizah; Haryanto Haryanto; Raka Wicaksono
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Project progress monitoring at PT Bestindo Putra Mandiri previously relied on Microsoft Excel, photographic documentation, and report submission through communication media, resulting in fragmented data management, delayed information retrieval, and inefficient progress recapitulation. This study aimed to develop a web-based information system for monitoring the progress of clean water pipeline installation projects using a dashboard and the Prototype Model at PT Bestindo Putra Mandiri. The study employed an empirical system-development design involving direct user interaction and functional evaluation of the developed application. System requirements were identified through observation and user interaction, followed by iterative development consisting of requirement identification, prototype design, prototype development, user evaluation, refinement, and implementation of the finalized system. The developed system integrates project data, work progress, project locations, field documentation, verification status, targets, realization, and reporting into a centralized web-based environment. The dashboard presents project completion percentages, progress status, target and realization information, and graphical representations to support monitoring by SPV Trunk Main/SPV Infill, Construction Manager, and Project Manager. Functional evaluation was conducted using Black Box Testing by examining authentication, project management, progress recording, documentation, verification, dashboard visualization, status information, and reporting functions. The testing results showed that the tested functions generated outputs consistent with their expected behavior. The system provides an integrated monitoring environment that improves information accessibility and supports structured project progress monitoring and managerial evaluation.  
Co-Authors Faisal Muhammad Haryanto Haryanto Haryanto Janu Ilham Saputo Muhammad Subali Nur Azizah Raka Wicaksono Wiranti Sri Utami