Rancang Bangun Penghitung Spare Parts Unit Fox-Baby Merek Elitech Dengan Metode Object Color Tracking Menggunakan Raspberry PI 3 B

Putra, I Putu Dedi Semara (2022) Rancang Bangun Penghitung Spare Parts Unit Fox-Baby Merek Elitech Dengan Metode Object Color Tracking Menggunakan Raspberry PI 3 B. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5009201089-Undergraduate_Thesis.pdf - Accepted Version Download (4MB)

Abstract

Kesalahan perhitungan sparepart yang diakibatkan oleh human error dalam perhitungan manual serta sistem informasi yang belum terintegrasi merupakan permasalahan yang dialami PT. Sinko Prima Alloy sampai tahun 2022 ini. Maka dibuatlah rancang bangun penghitung spare parts unit FOX-BABY menggunakan metode Object Color Tracing dengan sistem informasi berbasis website serta penyimpanan data dilakukan pada database MySQL. Tempat instalasi rancang bangun adalah ruangan produksi E-9 dengan nilai kelembaban 72 %, Suhu 28.5oC dan nilai intensitas cahaya ruangan 137,3 Lux. Konveyor yang digunakan untuk media penghitung memiliki kecepatan maksimal 76,570 RPM dan warna dasar sabuk hijau. Dilakukan modifikasi pada konveyor seperti penambahan kamera 1920p 2K merek NEMESIS A96 sebagai sensor penghitung barang dan skat pembatas untuk mencegah barang tertumpuk yang lewat saat proses perhitungan. Sedangkan perangkat komputer yang digunakan sebagai pemroses gambar adalah Raspberry Pi 3 B. Website sitem informasi perhitungan sparepart dibuat dengan bahasa pemrograman Python dan library OpenCV serta Framework Django sebagai Backend server program. Percobaan perhitungan dilakukan pada 4 jenis spare parts (Top Casing, Mainboard, Bottom Casing, dan Battrey Cover) dan 6 jenis warna (Biru, Hitam, Hijau muda, Kuning, Orange dan Putih) dengan jumlah maksimal barang 20 pcs. Nilai akurasi perhitungan pada sparepart dengan warna dasar hitam, hijau muda dan putih kurang baik dengan nilai dibawah 95% sedangkan warna biru, kuning dan orange memiliki akurasi baik dengan pengukuran 100%. Faktor yang mempengaruhi akurasi perhitungan adalah shadow di sekitar konveyor dan warna dasar konveyor tesebut.
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Spare parts calculation errors caused by human errors in manual calculations and information systems that have not been integrated are the problems experienced by PT. Sinko Prima Alloy until 2022. So the design of the FOX-BABY spare parts counter was made using the Object Color Tracing method with a website-based information system and data storage was carried out in a MySQL database. The design installation place is the E-9 production room with a humidity value of 72%, a temperature of 28.5oC and a room light intensity value of 137.3 Lux. The conveyor used for the counting media has a maximum speed of 76,570 RPM and the basic color of the belt is green. Modifications were made to the conveyor such as the addition of a 1920p 2K camera with the NEMESIS A96 brand as a sensor for counting goods and a barrier to prevent piled goods from passing during the calculation process. While the computer device used as an image processor is the Raspberry Pi 3 B. The spare parts calculation information system website is made with the Python programming language and the OpenCV library and the Django Framework as the Backend server program. Calculation experiments were carried out on 4 types of spare parts (Top Casing, Mainboard, Bottom Casing, and Battrey Cover) and 6 types of colors (Blue, Black, Light Green, Yellow, Orange and White) with a maximum number of 20 pcs. The value of calculation accuracy on spare parts with basic colors of black, light green and white is not good with a value below 95% while the colors blue, yellow and orange have good accuracy with a measurement of 100%. Factors that affect the accuracy of the calculation are the shadow around the conveyor and the base color of the conveyor.

Item Type:	Thesis (Other)
Additional Information:	RSF 006.42 Put r-1 2022
Uncontrolled Keywords:	Penghitung spare parts, Object Color Tracking, OpenCV, Django, Raspberry Pi 3 B, Spare parts counter, Object Color Tracking, OpenCV, Django
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques. Image analysis--Data processing.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	- Davi Wah
Date Deposited:	19 Dec 2024 05:32
Last Modified:	19 Dec 2024 05:32
URI:	http://repository.its.ac.id/id/eprint/116014

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