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OPTIMASI UTILISASI DUMP TRUCK MELALUI SISTEM MANAJEMEN ARMADA TERINTEGRASI VEHICLE HEALTH MONITORING SYSTEM Alfan Fardian; rer. nat. Filiana Santoso; Yunita Umniyati
ILTEK : Jurnal Teknologi Vol. 21 No. 01 (2026): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v21i01.464

Abstract

Penelitian ini bertujuan untuk meningkatkan utilisasi dump truck di PT XYZ, kontraktor tambang batubara di Kalimantan Timur, melalui integrasi data Vehicle Health Monitoring System (VHMS) dengan Fleet Management System (FMS). Permasalahan utama yang dihadapi adalah tingginya waktu idle, keterlambatan perawatan, dan rendahnya ketersediaan alat akibat ketiadaan integrasi data real-time dalam operasi harian. Dengan pendekatan studi kasus deskriptif–kuantitatif menggunakan kerangka DMAIC, penelitian ini menganalisis akar masalah serta mengembangkan model dispatch berbasis parameter VHMS. Implementasi pada 62 unit haul truck (periode Januari 2023 – Juni 2025) menunjukkan penurunan waktu idle dari 14,65% menjadi 11%, peningkatan efisiensi bahan bakar, serta kenaikan produktivitas. Fitur OPAS dan idle alert juga terbukti meningkatkan disiplin operator serta respons dispatch secara real-time. Hasil penelitian ini menunjukkan bahwa integrasi VHMS–FMS tidak hanya mendukung pengambilan keputusan yang lebih efisien, tetapi juga mendorong transformasi digital dalam sistem logistik pertambangan.
Leveraging Technology and Human Capital Development for Productivity Enhancement: A Case Study of The Transformer Project I Gusti Bagus Aditya; rer. nat. Filiana Santoso; Maulahikmah Galinium
ILTEK : Jurnal Teknologi Vol. 21 No. 01 (2026): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v21i01.499

Abstract

Despite Indonesia’s coal output surpassing 775 million tons in 2023, contractors continue to face inefficiencies due to low equipment utilization, inconsistent operator discipline, and weak digital integration. This study examines The Transformer Project, a collaboration between PT XYZ and PT United Tractors, combining Prodigy (real-time monitoring system) and Coretana (competency-based training) to enhance Komatsu PC1250 excavator performance. A sequential explanatory mixed-method approach was employed: FGDs and root cause analysis, a TAM survey validated through SEM, and KPI-based performance measurement. Results indicate weak explanatory power of TAM (R² = 5.6%), yet the interventions achieved substantial operational improvements: productivity increased by 47%, idle time decreased by 15%, fuel efficiency improved by 10%, and operator competency rose by 19%. The findings suggest that in capital-intensive industries, technology adoption is shaped more by organizational enforcement and KPI-driven incentives rather than individual perception, highlighting the need for extended adoption models.
EXTENDING THE LIFE OF SCANIA P410 ENGINE BY PREVENTING ENGINE OVERHEAT: A CASE STUDY AT PT ABC, TENGGARONG, EAST KALIMANTAN, INDONESIA NT Iwan Prasetyo Nugroho; rer. nat. Filiana Santoso; Gembong Baskoro
ILTEK : Jurnal Teknologi Vol. 21 No. 01 (2026): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v21i01.500

Abstract

Engine overheating is a critical issue that reduces the performance and lifespan of heavy-duty trucks. At PT ABC, Tenggarong, East Kalimantan, Indonesia, the Scania P410 fleet experienced recurring overheating, leading to reduced reliability, increased downtime, and higher maintenance costs. This study applies the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) framework to identify root causes and propose improvements. Data were obtained from operational records, maintenance logs, and field observations. Root cause analysis using Fishbone Diagram and Failure Mode and Effect Analysis (FMEA) revealed inadequate preventive maintenance, inefficient cooling systems, and poor operating practices as the main contributors. Kaizen-based improvements, including enhanced maintenance scheduling, standardized cooling inspections, and operator training, were implemented. As a result, overheating incidents decreased significantly, maintenance costs were reduced, and engine life was extended. The findings confirm that structured problem-solving methods are effective in improving technical reliability in the heavy equipment sector.
EVALUATING THE IMPACT OF MECHANICAL COMPETENCY DEVELOPMENT ON CERTIFICATION ON WORK PERFORMANCE AT PT. XYZ Rahmat Riyadi; Gembong Baskoro; rer. nat. Filiana Santoso
ILTEK : Jurnal Teknologi Vol. 21 No. 01 (2026): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v21i01.501

Abstract

This study investigates the impact of mechanical competency development through training and certification on the performance of mechanics at PT XYZ, a nationwide heavy equipment distributor. The main issue lies in the high failure rate of certification exams, particularly in theory, caused by a misalignment between training materials and exam requirements. This mismatch reduces certification success rates, prolongs job completion times (lead time), and increases operational costs. Adopting a quantitative research design, the study utilizes surveys, SAP system data, and multiple regression analysis to examine the relationships among training, certification, work experience, and performance. Findings reveal that certification exerts a stronger influence than training alone, particularly in reducing lead time. Certified mechanics work faster, more accurately, and more efficiently. Moreover, work experience and task repetition significantly enhance performance. Therefore, an effective mechanic development strategy should integrate structured training, certification, and hands-on exposure to improve competency, lower costs, and boost productivity and customer satisfaction.
Optimizing Excavator Physical Availability Using Lean Six Sigma and Predictive Inventory Management: A Case Study of PC1250 at Samarinda Coal Mine Satria Adi Prabowo; Gembong Baskoro; rer. nat. Filiana Santoso
ILTEK : Jurnal Teknologi Vol. 21 No. 01 (2026): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v21i01.505

Abstract

The coal mining industry faces critical challenges due to the low Physical Availability (PA) of heavy equipment, leading to excessive downtime costs and unmet production targets. This study investigates the optimization of Komatsu PC1250 excavator availability at a Samarinda coal mining site by applying the Lean Six Sigma DMAIC framework combined with Predictive Inventory Management. Baseline data indicated PA at only 73%, below the 85% target, with an average Mean Time To Repair (MTTR) of 34 hours and spare parts On-Time In-Full (OTIF) of 78%. Using analytical tools such as Failure Mode and Effects Analysis (FMEA), Fishbone diagrams, 5-Why analysis, and a predictive inventory system through two-bin Kanban and Vendor Held Stock (VHS), this study successfully reduced MTTR to ≤24 hours, improved Mean Time Between Failures (MTBF) by 18%, and increased OTIF for critical parts to 95%. As a result, PC1250 availability rose significantly to 83%, approaching the corporate target. The findings confirm that integrating Lean Six Sigma with predictive inventory systems provides practical solutions for mining contractors to enhance productivity while reducing operational costs.