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All Journal Journal of Business and Management Journal of Educational, Health and Community Psychology Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) The Asian Journal of Technology Management (AJTM) Journal of Economic, Bussines and Accounting (COSTING) Dinasti International Journal of Education Management and Social Science Ilomata International Journal of Management Jurnal Ilmiah Manajemen Kesatuan Journal of Management - Small and Medium Enterprises (SME's) Ilomata International Journal of Management Kontigensi: Jurnal Ilmiah Manajemen Law Development Journal Jurnal Impresi Indonesia Jurnal Sylva Lestari Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) International Journal of Entrepreneurship, Business, and Creative Economy Journal Research of Social Science, Economics, and Management Logistic and Operation Management Research Journal of Consumer Study and Applied Marketing International Research Journal of Business Studies Journal of Multidisciplinary Academic Business Studies
Nur Budi Mulyono
School of Business and Management, Institut Teknologi Bandung, Indonesia,
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences

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Optimizing Fuel Distribution Costs through Vehicle Routing Problem Modeling in Jakarta-Tanjung Gerem Terminals Hidayat, Dwi Wahyu; Mulyono, Nur Budi
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.3547

Abstract

Fuel distribution in Indonesia faces significant challenges due to high transportation costs, particularly for land-based deliveries in high-volume urban corridors. This study aims to identify inefficiencies in fuel distribution operations and develop optimized routing strategies for a major energy company operating between Jakarta Integrated Terminal and Tanjung Gerem Fuel Terminal. A mixed-method approach was employed, combining Root Cause Analysis to pinpoint cost drivers and Vehicle Routing Problem models to optimize delivery routes. Data were collected through interviews, on-site observations, and internal company records from January 2025. The findings reveal that truck transportation dominates operational expenses, driven by excessive travel distances. The optimized Vehicle Routing Problem model, using multi-supply point strategies and linear programming, significantly reduces travel distances and operational costs while improving truck utilization. This study concludes that data-driven route optimization enhances cost efficiency and supports environmental sustainability by lowering fuel consumption. However, the model’s reliance on static demand assumptions limits its adaptability to real-time variations. Future research should explore dynamic routing models incorporating real-time traffic and demand data to enhance robustness. These findings offer a scalable framework for improving fuel distribution efficiency across other terminals, contributing to cost savings and sustainable logistics practices.
Monte Carlo Simulation Approach To Improve Overburden Operational Performance: Case Study of PT Bukit Asam TBK Ahmad, Fithri Halim; Mulyono, Nur Budi
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5110

Abstract

This research develops a data-driven approach to improve overburden operational performance at PT Bukit Asam Tbk by utilizing Monte Carlo simulation as the primary analytical tool. Simulation results identified two main operational constraints. First, although the Matching Factor between loading and hauling equipment was balanced, the total fleet capacity was insufficient to achieve production targets. Second, poor synchronization (evidenced by high occurrences of “Wait Hauler” and “No Hauler” standby time) contributed to low Use of Availability (UA) and Equipment Utilization (EU), which reduces Effective Working Hours (EWH). First is to give addition to the fleet setting in East Pit 3, and second is to implement a real-time Mine Traffic Control (MTC) system. The proposed solutions were tested through simulation. Results showed that equipment addition could increase production by up to 26.8% and improve productivity by 1.76%. Meanwhile, the MTC system was projected to reduce controllable standby by 10.44%, increase EWH by 4.77%, and raise production under stable productivity conditions to 4.77%. Overall, the use of simulation and data-driven strategies proves effective in identifying root causes, designing measurable interventions, and validating their impact on productivity. The findings offer practical insights for improving operational efficiency of mining equipment operations in PT Bukit Asam Tbk
Implementation of Automation and System Integration in The Weighing Process and Documentation of Coal Shipments Using The FOBMV Method At PT XYZ Arli, Faris Zharfan; Mulyono, Nur Budi
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5540

Abstract

This research investigates operational challenges in the mining industry, specifically the weighing and documentation of coal shipments at PT XYZ. The process previously relied on manual data entry across three separate systems, resulting in recurring problems of data inaccuracy, process inefficiency, and excessive workload that disrupted operations and delayed managerial decision-making. The study aims to analyze the root causes of these issues, design a practical solution, and evaluate its impact. A mixed-method approach was applied, combining interviews, field observations, and quantitative measures such as error rates, process cycle efficiency, and Full-Time Equivalent calculations. The proposed solution, designed through a user-centered design framework, introduced automation via RFID-based dump truck identification, automatic generation of delivery documents, and integration of weighbridge data across internal and external applications. Implementation reduced errors by 86%, improved efficiency more than fourfold, and decreased workload by 80%, allowing a single operator to manage the process effectively. The findings confirm that automation and system integration significantly improve the accuracy, efficiency, and reliability of coal shipment documentation, demonstrating how digital interventions can enhance both operational performance and strategic decision-making in mining logistics.
SUPPLY CHAIN RESILIENCE: CALCULATION OF MAXIMUM TOLERABLE DOWNTIME (MTD) AND OPTIMUM STOCK LEVEL WITH A RISK-BASED APPROACH Pradana, Yoga Wishnu; Mulyono, Nur Budi
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/8k1gfw10

Abstract

The coal mining sector faces major challenges in maintaining operational continuity due to market fluctuations, logistics disruptions, and external uncertainties. This study evaluates the supply chain resilience of PT XYZ using a risk-based approach. The main objectives are to calculate the Maximum Tolerable Downtime (MTD) and determine the optimum inventory level adjusted to the company's financial risk tolerance limit. Currently, PT XYZ is experiencing an imbalance between production and sales, causing coal stock to approach the maximum capacity limit of 14.7 million tons. The increase in average stock from 2020–2024 has an impact on high storage costs and operational risks. This study integrates operational data, risk assessment models, and quantitative methods to convert financial risk limits into operational limits in tonnage units. The result is a predictive model that functions as an early warning system to help companies maintain operations within safe limits and improve decision making amid uncertainty.
Determinants of My Rentokil Reporting System Adoption and its Impact on Employees’ Job Satisfaction Alam, Lutfhi Chairul; Mulyono, Nur Budi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i7.1329

Abstract

The adoption of reporting systems in organizations does not always lead to consistent use, especially in systems that are already in the post-adoption stage and integrated into routine work activities. MyRentokil is implemented at PT Rentokil Initial Indonesia to support service reporting and operational control; however, variations in employee usage behavior are still observed. This research aims to analyze the determinants of the adoption of the MyRentokil reporting system and its impact on employee job satisfaction. This quantitative study surveyed internal users (technicians and service supervisors) at PT Rentokil Initial Indonesia’s Tangerang branch and analyzed the data using PLS-SEM based on the UTAUT2 framework. The results of the study showed that business expectations had a significant effect on behavioral intention, while performance expectations did not have a significant effect. Behavioral intention also did not have a significant effect on actual usage behavior, indicating a gap between intention and usage in the context of organizational systems that have been integrated into work activities. Conversely, supportive conditions and habits were found to be the main factors influencing usage behavior. In addition, system usage behavior had a positive and significant effect on employee job satisfaction. In mature systems, sustained use depends more on ease of use, organizational support, and work habits than on perceived performance benefits or usage intention. This study extends the UTAUT2 framework to post-adoption contexts, offering practical insights for strengthening system use through structural integration to enhance job satisfaction.
Co-Authors Achmad Ghazali Agus, Anna Amalyah Ahmad, Fithri Halim Alam, Lutfhi Chairul Aqila, Sarah Ayu Arli, Faris Zharfan Azzahra, Nafisah Dwi Wahyu Hidayat, Dwi Wahyu Fauzih, Raden Muhammad Gatot Yudoko Harun, Hanif Rahman Hasibuan, Ratna Sari Herry Purnomo Imaniya, Taliya Irawan, Bambang Andri Jann Hidajat Tjakraatmadja Johnson, Nuraeni Joko Santoso Joko, Galuh Keiko Nakashima Maharani Maharani, Maharani Miranda, Nabila Mira Mustika Sufiati Purwanegara Nugraha, Indra Pradana, Yoga Wishnu Qurani, Hamzah Romzul Rafiqi, Bagus Rinekso Soekmadi Takeshi Arai Thomas, Vanessa Tomi, Tomi Utomo Sarjono Putro