Predictive Maintenance of Government Official Vehicles Using Linear Regression and Decision Tree Machine Learning Models
DOI:
https://doi.org/10.55826/jtmit.v5i3.2119Keywords:
predictive maintenance, official vehicles, machine learning, linear regression, decision treeAbstract
Penerapan teknologi machine learning dalam predictive maintenance kendaraan dinas bertujuan meningkatkan produktivitas dalam memprediksi biaya dan jadwal pemeliharaan, serta penggantian suku cadang kendaraan. Penelitian ini menggunakan machine learning untuk menganalisis data historis pemeliharaan kendaraan dinas dan memprediksi kebutuhan pemeliharaan di masa mendatang. Model machine learning yang digunakan untuk memprediksi tanggal dan biaya servis adalah regresi linier, sedangkan decision tree digunakan untuk prediksi suku cadang. Tahapan penelitian meliputi pengumpulan data, prapemrosesan data, pelatihan model, evaluasi model, dan implementasi model. Model yang dihasilkan diharapkan dapat memberikan prediksi yang akurat mengenai biaya dan jadwal pemeliharaan, serta penggantian suku cadang kendaraan, sehingga membantu mengoptimalkan pengelolaan kendaraan dinas. Hasil penelitian ini diharapkan memberikan kontribusi yang signifikan dalam mengoptimalkan manajemen pemeliharaan dan alokasi anggaran pemeliharaan kendaraan dinas.
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