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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL INTEGRASI Journal of Applied Electrical Engineering Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Muhammad Syafei Gozali
Politeknik Negeri Batam
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Journal : JURNAL INTEGRASI

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Vertical Carousel Storage Obat Otomatis Menggunakan PLC Irwanto Zarma Putra; Naufal Shadiq Maulana; Selvi Fitri Yani; Muhammad Syafei Gozali; Widya Rika Puspita
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.4358

Abstract

Automatic medicine storage carousel vertical machine is a development of a combination of automation systems with storage systems, especially medicine storage. The medicine storage vertical carousel machine uses a design system such as a vertical carousel vehicle. There are shelves for storing medicine on each swing. This machine is controlled by PLC which drives the servo motor. The servo motor drives the machine's swing arm so that the machine can rotate. In the process of finding a medicine, The average time it takes the machine to find the fastest medicine and the bin condition is not shaking is 5.28 seconds using 7 Rpm at pulley driven speed. The indicator light will indicate which bin is being targeted and the machine door will stop when the photoelectric sensor detects a hand approaching the door.
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. Rido Setiawan Aditya Gautama Darmoyono Adlian Jefiza Ahmad Syafi’i Amiruddin Amiruddin Arif Febriansyah Juwito Asrizal Deri Futra Cindy Kristine Pasaribu Daniel Sutopo Pamungkas Dessy Oktani Diono Diono Eka Mutia Lubis Ferri Fernando Sitohang Hasnira Hasnira Irwanto Zarma Putra Jhon Hericson Purba Kamarudin Kamarudin Muhammad Afif Zulmi Muhammad Jaka Wimbang Wicaksono Muhammad Zaenuddin Mu’thiana Gusnam Naufal Shadiq Maulana Nurhayati Fitri Pedro Imanuel Ginting Rahmat Suryadi Rahmi Mahdaliza Selvi Fitri Yani Widya Rika Puspita Yohannes Ridho Soru