ANALISIS DAN IMPLEMENTASI MACHINE LEARNING DALAM MEMPREDIKSI KERUSAKAN LAPTOP MENGGUNAKAN METODE RANDOM FOREST (STUDI KASUS: BARAKA SERVICE DEPOK)

Authors

  • Tiara Ulfiah Universitas Pamulang
  • Anis Mirza Universitas Pamulang

Abstract

Laptops are essential electronic devices widely used in academic and professional activities; however, they are often prone to damage due to intensive usage. Manual damage identification by technicians is time-consuming and prone to human error. This
research aims to develop a laptop damage prediction system based on machine learning using the Random Forest method. The
dataset was obtained from Baraka Service Depok, containing information such as year of purchase, daily crash frequency,
overheat frequency, symptoms, and types of damage. The research process includes data preprocessing, model training, and webbased system implementation. The results show that the Random Forest model achieved an accuracy of 95% with stable
performance in recognizing various types of laptop damage. The developed system proved effective in assisting technicians by
accelerating the diagnostic process and improving work efficiency.

Keywords: Machine Learning, Random Forest, Laptop Damage Prediction, Baraka Service Depok

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Published

2025-12-08

How to Cite

Tiara Ulfiah, & Anis Mirza. (2025). ANALISIS DAN IMPLEMENTASI MACHINE LEARNING DALAM MEMPREDIKSI KERUSAKAN LAPTOP MENGGUNAKAN METODE RANDOM FOREST (STUDI KASUS: BARAKA SERVICE DEPOK). Journal of Artificial Intelligence and Innovative Applications (JOAIIA), 6(4), 57–66. Retrieved from https://openjournal.unpam.ac.id/index.php/JOAIIA/article/view/54005

Issue

Vol. 6 No. 4 (2025): November

Section

Articles