Development and Performance Testing of a PLC and HMI Based Automatic Cable Cutting Machine

Authors

  • Sarah Chairul Annisa Universitas Ibn Khaldun Bogor, Indonesia
  • Peni Asmawati Universitas Ibn Khaldun Bogor, Indonesia
  • Fithri Muliawati Universitas Ibn Khaldun Bogor, Indonesia
  • Joki Irawan Universitas Ibn Khaldun, Bogor, Indonesia
  • Muhidin Universitas Ibn Khaldun, Bogor, Indonesia

DOI:

https://doi.org/10.54783/influencejournal.v8i3.392

Keywords:

Programmable Logic Controller (PLC), Human Machine Interface (HMI), Proximity Sensor, Pneumatic Actuator, NFA2X 2×10 MM² Cable, Automation.

Abstract

The system was developed to improve cutting accuracy and efficiency compared to the manual method currently used by PT. PLN (Persero), Bogor Barat Customer Service Unit. The device utilizes a Delta DVP14SS211R PLC as the main controller, a DOP-103BQ HMI for inputting the cutting length, a proximity sensor to detect cable movement, and a pneumatic actuator for the cutting mechanism. The test results show that the automatic cutting system provides better accuracy than the manual method. For a target length of 1600 cm, the automatic system produced an average cut length of 1640 cm (+2.5% deviation), while the manual method produced 1680 cm (+5% deviation). Thus, the automatic system reduced material waste by 2.5%. In terms of processing time, the automatic cutting process required 800 seconds for 1600 cm and 2177 seconds for 3200 cm, whereas the manual method required only 10 seconds and 20 seconds, making the automatic process 78–105 times slower. Electrical energy consumption, calculated using the formula W = V × I × t ranged from 740,960–769,120 Joules (0.206–0.214 Wh) for 1600 cm and 2,016,337–2,092,968 Joules (0.560–0.581 Wh) for 3200 cm.

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Published

06-09-2026

How to Cite

Annisa, S. C. ., Asmawati, P., Muliawati, F. ., Irawan, J., & Muhidin. (2026). Development and Performance Testing of a PLC and HMI Based Automatic Cable Cutting Machine. INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW, 8(3), 288–300. https://doi.org/10.54783/influencejournal.v8i3.392