Track 1: AI and Data-Driven Decision Making

IMPLEMENTATION OF FLEET MANAGEMENT SYSTEM TO INCREASE PRODUCTIVITY AND REDUCE ENERGY CONSUMPTION IN GOLD MINING OPERATIONS: COMPARATIVE STUDY OF CONTRACTOR OPERATIONS *Arif Johar Pratama1,3, Yoga Deniswara4, David Andrew Prior3, Widya Febrianto4, Indra Tasmin Karim4, Oliver Nolan Stokes3, Tasya Millenia3, Miftahul Fadillah1,3, Erkatra Yandri1,2 1Graduate School of Renewable Energy, Darma Persada University, Jl. Radin Inten 2, Pondok Kelapa, East Jakarta 13450, Indonesia 2Center of Renewable Energy Studies, Darma Persada University, Jl. Radin Inten 2, Pondok Kelapa, East Jakarta 13450 3Customer Services & Customer Success, Hexagon, Grand Sudirman Tower, Lt. 10, Klandasan Ilir, Balikpapan Selatan, Balikpapan, Kalimantan Timur 4Mine Operation and Dispatch Division. Maeras Soputan Mining, Tambang Tonado Nusajaya, Winuri, Likupang Timur, North Minahasa Regency, North Sulawesi (*Presenting author: Arif Johar Pratama, arif.pratama@hexagon.com) ABSTRACT The growing demand for energy efficiency and sustainability in mining operations has accelerated the adoption of digital technologies such as Fleet Management Systems (FMS). FMS enables real-time monitoring and coordination of heavy equipment fleets, supporting operational optimization and carbon reduction. However, its adoption among Indonesian mining contractors, particularly in gold mining, remains inconsistent. This study quantitatively assesses the impact of FMS on operational productivity, fuel consumption, and CO₂ emissions through a comparative case study of three contractors operating under similar conditions. Two approaches were employed: a cross-sectional comparison between FMS and non-FMS haul operations and a timeseries analysis of a contractor transitioning from conventional to FMS-based operations. Key performance indicators including truck and digger productivity, fleet match factor, fuel ratio, and emission intensity were evaluated using normalized metrics. The results indicate significant improvements following FMS implementation: truck productivity increased by 29.7–39%, fuel efficiency improved by up to 27%, and annual CO₂ emissions decreased by 31%. The fleet match factor also stabilized near optimal levels, reflecting improved equipment coordination. These findings demonstrate FMS's strategic contribution to both economic performance and environmental sustainability, while supporting its integration into broader energy management and digital emissions governance frameworks.

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