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All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Civil Engineering Journal Jurnal Pensil : Pendidikan Teknik Sipil Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Teknik Sipil Cendekia (JTSC) Jurnal Manajemen Informatika & Teknologi Engineering Science Letter Journal of Artificial Intelligence and Digital Business Jurnal Adijaya Multidisiplin Education: Jurnal Sosial Humaniora dan Pendidikan Journal of Innovative and Creativity Jurnal Ilmiah Sistem Informasi Advance Sustainable Science, Engineering and Technology (ASSET) Eudaimonia : Journal Psychology Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI) MBA Journal – Management, Business Administration, and Accounting Journal Jurnal Ekselenta - Jurnal Ilmiah Fakultas Teknik
Sari, Endah Murtiana
Universitas Sains Indonesia
Religion Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : civil engineering journal

 1 
Application of XGBoost in Road Maintenance Cost Prediction Dian Setiawan; Leksmono S. Putranto; Endah Murtiana Sari
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-018

Abstract

Road maintenance costs play a critical role in government budgeting, as they represent a recurring expenditure required to sustain transportation infrastructure performance and traffic safety. Accurate cost prediction enables long-term efficiency by ensuring that maintenance budgets are allocated appropriately. This study aims to develop a predictive model for road maintenance cost using the Extreme Gradient Boosting (XGBoost) algorithm, optimized through iterative training to improve prediction accuracy based on deviations between predicted and actual costs. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R²), all of which indicate a strong model fit and high predictive reliability. The model was developed using simulated and empirical data from 30 road sections with varying characteristics, incorporating key predictors such as road length, cold mix asphalt, asphalt emulsion, diesel fuel, gasoline, water consumption, working area, asphalt removal volume, and labor requirements. The results demonstrate that the proposed XGBoost-based model can effectively estimate maintenance costs and associated resource requirements. The findings provide practical insights for government agencies in planning material usage and workforce allocation for road maintenance activities.
Co-Authors Achmad Sutowo Agus Gendroyono Agus Taufik Mulyono Agus Taufik Mulyono Agustinus Purna Irawan Al Fath, Ade Achmad Al Ichlas Imran Alfiya Rokhmah Alfiya Rokhmah Ali Muhammad Alya Khansa, Khadeeja Angge Firizkiansah Anggi Herdian Asep Saepullah Dian Setiawan Dian Setiawan Dinda Nur Annisa Dohim, Mas’ud Dwi Wahyu Prasetyo Dyah Erny Herwindiati Dyah Erny Herwindiati Dyah Erny Herwindiati Etanto Heiliano Wijayanto Fardiansyah Maula Fitriyana, Deni Fajar Handayani, Sri Henny Pratiwi Adi Herwindiaty, Dyah Erny Ince Suil Febryan Maula Januar Parlaungan Siregar Khadijah, Raisa La Ode Mbunai Leksmono S. Putranto Leksmono S. Putranto Leksmono Suryo Putranto Lina Lina Lina Lina Lina Lina Mas’ud Dohim Maulida, Nelis Mochamad Agung Wibowo Mohamad, Dadang Mohamed Reza Zalani Muhamad Dzaky Ashidqi Muhamad Dzaky Ashidqi Muhammad Ikhsanudin Mustafa Nahdi Najid Najid Najid, Najid Najla Manggala, Kalyca Naniek Widayati Naylendra Ken Andary, Daiva Novi Hidayat Oei Fuk Jin Oei Fuk Jin Oie Fuk jin Prayudi Prayudi Probokusumo Probokusumo Probokusumo Probokusumo Probokusumo Probokusumo Purwanto Purwanto Purwanto Purwanto S.K Purwanto S.K Rahmat Rahmat Rifki Wida Sarandi Rifo Nur Laksana Ririn Mulyani Rismawati Rismawati Rismawati Rismawati Rismawati Rizal Zainuddin Tamin S.K, Purwanto Setiawan, Dian Silviana Windasari Situ Hamidah Nurhikmah Slamet Imam Wahyudi Sutikno Sutikno Sutikno Sutikno Tezara Cionita Tezara Cionita Thohirin, Antho Thomas Junaedi Thomas Junaedi Tiara Sarasevika Ujang Dudi Januar Wibowo, Mochamad Agung Wibowo, Mohamad Agung Yamani Yasmin