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Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik

Logistics Location and Storage Determination System using LabView and Ultrasonic Sensors

Department of Electronic Engineering, Politeknik Negeri Cilacap, Indonesia

Received: 10 Mar 2017; Published: 30 Apr 2017.
Open Access Copyright (c) 2017 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

One of the important aspects in industrial field is a good material handling in logistics. Automated Guided Vehicle (AGV) can be an alternative to making an optimal logistics system. A widely used type of AGV based on its navigation system is line follower robot. This paper explains about applying the line follower robot integrated with LabVIEW to implement ultrasonic sensor as a radar to determine an empty space in logistic storage. The utilization of ultrasonic radar makes the searching process of empty space in the storage faster. Meanwhile, LabVIEW interface is used to help the operator to monitor material handling process. The result of the testing showed that ultrasonic sensor reading in Virtual Instrument LabVIEW has a good precision level when the line follower robot moves in a straight path. The error rate was 6,19% compared to the real situation.

Keywords: automated guided vehicle (AGV); LabVIEW; ultrasonic navigation

Article Metrics:

  1. H. Barbera, and M. D. Herrero-Perez., “Autonomous Navigation of An Automated Guided Vehicle in Industrial Environtments”, Robotics and Computer-Integrated Manufacturing, 2010, Elsevier
  2. A. V. Gaur, and M. S. Pawar, “AGV Based Material Handling System: A Literature Review”, IJRSI, Vol.III, Issue IA, 2016
  3. M. Sharma, “Control Classification of Automated Guided Vehicle Systems”, in International Journal of Engineering and Advanced Technology (IJEAT), vol. 2, no. 1, 2012
  4. L. Schulze, S. Behling, and S. Buhrs, “Automated Guided Vehicle Systems: a Driver for Increased Business Performance”, in Proceeding of the International MultiConference of Engineers and Computer Scientists (IMECS) Vol II, 2008, Hong Kong
  5. A.A.B. Sulistyono, and A. Sudiarso, “Simulasi Teknik Penanganan Material Sistem Produksi secara Manual dan Otomatis Berbasis Automated Guided Vehicle (AGV)”, in Simposium Nasional RAPI XII, 2013, FT Universitas Muhammadiyah Surakarta
  6. T. Davich, “Material Handling Solutions: A Look into Automated Robotics”, in Wunsch Materials Handling Prize, 2010, University of Wisconsin-Madison
  7. A. Mukti, O. D. Nurhayatii, and E. D. Widianto, “Rancang Bangun Sistem Kontrol Robot Line Follower Menggunakan Logika Fuzzy”, Jurnal Teknologi dan Sistem Komputer, vol. 3, no. 4. 2015. doi: http://dx.doi.org/10.14710/jtsiskom.3.4.2015.536-543
  8. J. Park, Y. Je, H. Lee, and W. Moon, “Design of An Ultrasonic Sensor for Measuring Distance and Detecting Obstacles”, Ultrasonics, vol. 50, 2010
  9. C. Wagner, S. Armenta, & B. Lendl, “Developing Automated Analytical Methods for Scientific Environtments using LabVIEW”, Talanta, vol. 80, 2010
  10. W. Larsen and Ronald, “LabVIEW for Engineers”, 2011, Prentice Hall. Boston
  11. Afridanil, Wildian, “Rancang Bangun Sistem Kendali Robot Tangan Menggunakan Bluetooth Berbasis Mikrokontroller Atmega8535”, Jurnal Fisika Unand, vol. 4, 2015

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Last update: 2024-11-04 01:21:10

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