2017
DOI: 10.14710/jtsiskom.5.2.2017.76-83
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Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik

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 spa… Show more

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Cited by 4 publications
(3 citation statements)
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“…Pratiwi, Riyanto (2017) yang berjudul "Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik". Pada jurnal ini dilakukan pengujian robot pengikut garis yang diintegrasikan dengan LabVIEW untuk menerapkan sensor ultrasonik sebagai radar yang menentukan lokasi kosong [8].…”
Section: Pendahuluanunclassified
“…Pratiwi, Riyanto (2017) yang berjudul "Sistem Penentuan Lokasi dan Penyimpanan Barang Menggunakan LabVIEW dan Sensor Ultrasonik". Pada jurnal ini dilakukan pengujian robot pengikut garis yang diintegrasikan dengan LabVIEW untuk menerapkan sensor ultrasonik sebagai radar yang menentukan lokasi kosong [8].…”
Section: Pendahuluanunclassified
“…The logistics sector is one of the fields that is developing and influencing national economic growth. It consists of people, processes (operational practices), and technology [1]. In the millennial era, intelligent devices based on information and communication technology are needed to make the system effective and efficient, which leads to industry 4.0 [2].…”
Section: Introductionmentioning
confidence: 99%
“…Thresholding is one method of image segmentation with a process based on differences in image gray degree. The intensity value of the image is more than or equal to the threshold value will be changed to white (1). In contrast, the image intensity value less than the threshold value will be changed to black (0), so that the output of the thresholding results is in the form of a binary image.…”
mentioning
confidence: 99%