Implementasi Forecasting Maintenance dalam Pengelolaan Perawatan Dump Truck pada Operasi Pertambangan

Mad Yusup; Diyaa Aaisyah Salmaa Putri Atmaja; Purbawati Purbawati; Ida Rosanti; Tommy Mohammad Chadiq; Mailina Ihya Nashafiyah

doi:10.61132/manufaktur.v3i4.1346

Authors

Mad Yusup Universitas Nahdlatul Ulama Kalimantan Timur
Diyaa Aaisyah Salmaa Putri Atmaja Universitas Nahdlatul Ulama Kalimantan Timur
Purbawati Purbawati Universitas Nahdlatul Ulama Kalimantan Timur
Ida Rosanti Universitas Nahdlatul Ulama Kalimantan Timur
Tommy Mohammad Chadiq Universitas Nahdlatul Ulama Kalimantan Timur
Mailina Ihya Nashafiyah Universitas Ahmad Dahlan

DOI:

https://doi.org/10.61132/manufaktur.v3i4.1346

Keywords:

Dump Truck, Maintenance Forecasting, Mining Equipment Maintenance, Predictive Maintenance, Time Series Analysis

Abstract

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

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