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DOI Prefix: 10.47001/IRJIET

Analysis of Dump Truck Tire Wear Rate Using Kruskal Wallis Nonparametric Statistics in R

Abstract

Dump truck is a tool for transporting materials in mining activities. One of the important components of the dump truck that is directly in contact with the road surface and is a determining factor in the safety of the driver from the risk of accidents is the tire. For good tire rotation, the size for the front, rear, right and left positions must be the same. Therefore, it is important to know the wear rate of each tire position. This paper study aims to analyze whether there is a difference in the wear rate of dump truck tires on the UD Quester CWE 370 and Mercedes Benz AXOR 2528 C types. The tire wear rate analyzed was in the front right, rear outer right, rear outer left, and front left positions. Data collection was carried out directly in the field and has been documented in an academic report. Data analysis used Kruskal Wallis nonparametric statistics because the sample size was small and if it met the parametric assumptions then One Way ANOVA was carried out. Data processing was done using R software. Kruskal Wallis analysis in R with a 5% error resulted in no difference in the tire wear rate of the UD Quester CWE 370 and Mercedes Benz AXOR 2528 C dump trucks. Meanwhile, the One Way ANOVA analysis in R with a 5% error was only performed on the Mercedes Benz AXOR 2528 C tires and resulted in no difference in the tire wear rate as well.

Country : Indonesia

1 Mutijah

  1. Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri Purwokerto, Jl. Jend. A. Yani No. 40A, Purwokerto, Banyumas, Central Java, Indonesia

IRJIET, Volume 10, Issue 4, April 2026 pp. 110-117

doi.org/10.47001/IRJIET/2026.104015

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