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All Journal Jurnal Ruas (Review of Urbanism and Architectural Studies) Celt: A Journal of Culture, English Language Teaching & Literature Sisforma: Journal of Information Systems PROXIES LANGKAU BETANG: JURNAL ARSITEKTUR Jurnal Riset Ekonomi dan Bisnis Journal of Architectural Design and Urbanism Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Arsitektur ZONASI EconBank : Journal Economics and Banking Journal of Information Systems and Informatics Neo Teknika: Jurnal Ilmiah Teknologi Journal of Architectural Research and Education Journal of Management and Business Environment (JMBE) Jurnal Teknik Informatika (JUTIF) Journal of Business and Technology Arsitekta IJEAS (International Journal of Environment, Architecture, and Societies) Elektriese: Jurnal Sains dan Teknologi Elektro Journal of Local Architecture and Civil Engineering
Ridwan Sanjaya
Department Of Information Systems, Soegijapranata Catholic University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

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Adaptive Gradient Boosting for Fuel Consumption Prediction in Mining Haul Trucks under Concept Drift Monitoring Kusnawi, Kusnawi; Wibowo , Mochamad Agung; Sanjaya, Ridwan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5635

Abstract

Fuel consumption prediction models deployed in mining operations often degrade in performance due to changes in the distribution of high-frequency telemetry data, a phenomenon commonly associated with concept drift. Static machine learning models trained on historical data may therefore lose reliability over time in dynamic operational environments. This study aims to develop an adaptive regression approach for predicting fuel consumption in mining haul trucks by integrating a Gradient Boosting Regressor with batch-wise performance monitoring and periodic retraining. Real-world telematics data were processed through systematic preprocessing and feature engineering to derive behavioral and operational indicators relevant to fuel usage. Model performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and the coefficient of determination (R²), while drift monitoring employed a threshold-based MAE analysis over streaming batches. Experimental results show that the initial model achieved an MAE of 27.27 L/h and an R² of 0.759, and the adaptive retraining strategy provided marginal yet consistent performance stabilization without detecting significant drift within the observed period. Beyond the mining application, this framework contributes to the development of lightweight adaptive regression systems for real-time data stream processing, supporting computationally efficient predictive maintenance in industrial IoT environments.
Co-Authors Adiseputra, Nicholaus Agus Cahyo Nugroho Alb. Dwi Yoga Widiantoro Alb. Dwiyoga Widiantoro Albertus Dwi Yoga W Albertus Dwiyoga Widiantoro Alexandra Adriani Widjaja andadari, tri susetyo Andre Kurniawan Pamudji Andru Deva Lukito Aprilia Ratna Christanti Baskara Arya Pranata Bernadinus Harnadi Bernardinus Harnadi Cecilia Titiek Murniati Celvin Laviano Chandrawati, T. Brenda Christine Wibhowo, Christine Cobantoro, Adi Fajaryanto Dharmawan, Jovita Dwiyoga Widyarto Ekawati Marhaenny Dukut, Ekawati Marhaenny Elisa Purnamasari Elisa Purnamasari, Elisa Elizabeth Kurniawan Ardianto Erdhi Widyarto Evangeline Eunike Fajar As'ari Fajar As'ari Felicia Kusuma Fiolita, Cindy FX Hendra Prasetya FX Hendra Prasetya Graciela, Cindy Fiolita Gregorius Alvin Raditya Santoso Gregorius Anung Hanindito Hendra Prasetya Hendra Prasetya Hendra Prasetya Hendra Prasetya Hening Artdias Hermawan Hermawan Inggrit Swastini Dewi Isidorus Ivan Kalya Wasistha Koeswoyo, Freddy Koeswoyo, G. Freddy Kusnawi Kusnawi Kusnawi L.M.F. Purwanto Leocadia Desy Pranatalisa LMF. Purwanto Lysbeth Venella Oey Margareta Ernanda Rahardani Meissy Lengmas Congdinata Mochamad Agung Wibowo Mufidah Mufidah Muljanto, Yehuda Joy Nugraha, Johanes Arya Pramesta Nugroho, Agus Cahyo Nugroho, Setyadi Nur Yanti Nuryanti Nuryanti P., Angelicdolly Palgunadi, Petrus Pamudji, Andre Kurniawan Perdana Putra, Sinar Pramuditya, Reza Santika Prasasto Satwiko, Prasasto Priatko, Albertus Aditya Purwanto, LMF Rahardjo, Ervina Febriani Ramli, Justine Hezekiel Rejeki, V. G. Sri Retang Wohangara, Retang Rio Wiranto Risa Farrid Farrid Christanti, Risa Farrid Santi Widiastuti Santosa, Daniel Saswitko, Prasasto Setiyanto, Benny D. Sindi Budi Emilia Soetomo, Greg. Stephen Jonathan Gustav Sulastri, Augustina T Brenda Chandrawati T. Brenda Ch Ch Tri Arinta, Rizka veinta sonrizky mayo Wahyuningrum, Shinta Estri Wibowo , Mochamad Agung Wibowo, Mochamad Agung Widianto, Daniel Prasetya Widjaja, Robert Rianto Widyarto, Erdhi Yoannes Romando Sipayung Yonathan Aditya Wijaya Yulianto, Felix Wiranata