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All Journal JURNAL INTEGRASI Journal of Applied Electrical Engineering Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Proceeding Applied Business and Engineering Conference
Muhammad Syafei Gozali
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Journal : JURNAL INTEGRASI

 1 
Sistem Semi Otomasi pada Proses Tinning Pin Lampu di PT. Excelitas Technologies Batam Diono Diono; Gindo Leonard Manahan Simanjuntak; Handri Toar; Muhammad Syafei Gozali; Adlian Jefiza
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3889

Abstract

The tinning process is the process of coating a thin sheet of wrought iron or steel with tin and the resulting product is known as tinplate. The tinning process at PT. Excelitas Technologies Batam is done by clamping the lamp using your finger and then dipping it into flux and molten tin repeatedly until the lamp pin is evenly coated with tin which is done manually and is very dangerous for workers. Therefore, we need a Semi Automation System for the PLC-based Lamp Tinning Process. The method used is the use of a timer in the PLC-based flux dyeing and tining process. The tool testing process is carried out on 10 pcs lamp pins which are immersed 2 times in the flux and tinning process. The result of this research is that the cycle time loading / unloading of the lamp pin tinning process is reduced from 14.4 seconds to 11 seconds.
Pengklasifikasian Warna dan Bentuk Produk Menggunakan Kamera ELP- USB8MP02G-MFV dengan Berbasis YOLOV7 Diono, Diono; Muhammad Syafei Gozali; Yohannes Ridho Soru
JURNAL INTEGRASI Vol. 17 No. 1 (2025): Jurnal Integrasi - April 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i1.9266

Abstract

The development of artificial intelligence technology allows the system to detect various objects. In the research on the classification of color and shape of products using the ELP-USB8MP02G-MFV camera based on YOLOV7, it aims to modify the conveyor on the molding machine. Because the conveyor only has the function of distributing goods from the molding machine to the bin and the length of time used to wait for the bin to be full is the reason why this conveyor is modified. Modifications are made by adding a camera that has been connected to the Raspberry Pi 4B on the conveyor, the camera functions to take pictures of passing product objects then the image is detected by the system on the Raspberry Pi 4B so that this conveyor machine can classify the objects produced by the molding machine. The system detects objects using the YOLOv7 algorithm. This study was carried out with three tests, namely object model detection testing, color detection testing and program and relay output testing where 98.11% was for object model detection testing, 97.37% for color detection and 100% for program and relay output testing.  The results of this research will contribute to the development of object detection, especially product object detection and the results of molding machines.
Co-Authors A.Rizki Saputra Abdurrahman Dwijotomo Abulija Maskarai Adlian Jefiza Aliza, Siti Zurina Annisa Fyona Ari Wibowo Arif Febriansyah Juwito Arif Wahyu Budiarto Asrafi Asrafi Cahyo Budi Nugroho Chandra Defta Rusdwinanto Daniel Sutopo Pamungkas Didi Istardi Diono Diono Diono, Diono Fauzun Atabiq Fitriyanti Nakul Gawan Sagoro Gindo Leonard Manahan Simanjuntak Handri Toar Hasnira Hasnira, Hasnira Herlina Sanjaya Nainggolan Irwanto Zarma Putra James Siregar Kartika Kartika Meida Perwira Antartika Muhammad Andi Nova Muhammad Ismail Muhammad Nurhidayat Naufal Abdurrahman Prasetyo Nugroho Pratomo Ariyanto Nurul Laili Arifin Olfhie Stevani Rahman Hakim Randy Saputra Rizky Pratama Hudhajanto Sapto Wiratno Satoto Sriyanto Sriyanto Wowo Rossbandrio Yogantara Yogantara Yohannes Ridho Soru