Optimization of Heavy Point Position Measurement on Vehicles Using Support Vector Machine

Authors

  • Franky Melky Agents of Research and Innovation
  • Siti Sendari Electrical Engineering, University Negeri Malang
  • Ilham Ari Elbaith Electrical Engineering, University Negeri Malang

DOI:

https://doi.org/10.26555/jiteki.v9i3.26261

Keywords:

Hydraulic lift table, Weight point testing, Lvdt, Support vector machine

Abstract

During this time, weight point testing is still done manually using a jack until now it has begun to be replaced with hydraulic equipment namely Lift Table Hydraulic (LTH) which is a portable table with a hydraulic system equipped with sensors (Loadcell and LVDT), powerpack control panel, powerpack, relay module and solenoid valve to adjust the table height. This portable table is one component of the heavy point measurement equipment system used for mining and plantation vehicles such as tractors, buses, trucks which are required to have a safe structure in heavy road conditions with rough or uneven surfaces with slopes up to an angle of 15 ° to 20 °. This emphasized research contributes to more accurate testing. Based on these problems, this research was conducted using Support Vector Machine (SVM) for the optimization of heavy point position measurement. The objects used are minibuses with 1 and 19 passengers and buses with 29 and 36 passengers on the proportion of datasets (training: testing) of 80% and 20% using linier kernel. From the experimental results, the accuracy in the condition of 1 passenger is 94.7%; minibus 19 passengers 98%; bus 29 passengers 98.1% and bus 36 passengers 97.4%. The highest accuracy obtains on 29 passengers minibus.

 

Author Biography

Franky Melky, Agents of Research and Innovation

PR-TKS, BRIN

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Published

2023-07-23

How to Cite

Melky, F., Sendari, S., & Elbaith, I. A. (2023). Optimization of Heavy Point Position Measurement on Vehicles Using Support Vector Machine. Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika, 9(3), 673–683. https://doi.org/10.26555/jiteki.v9i3.26261

Issue

Section

Articles