Article Per Year (5 Year)
p-Index From 2021 - 2026
1.642
P-Index
This Author published in this journals
All Journal Informatik : Jurnal Ilmu Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Terapan JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Elektra Journal of Applied Computer Science and Technology (JACOST) Jurnal Puan Indonesia Jurnal Isu Teknologi Power Elektronik : Jurnal Orang Elektro
Sarosa Castrena Abadi
Politeknik Manufaktur Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Developing Sorting Algorithm for SmartEdu Conveyor using Computer Vision Technology Ridwan; Erdani, Yuliadi; Sarosa Castrena Abadi; Anugrah, Mochammad Dimas; Abdur Rohman Harits Martawireja; Rizqi Aji Pratama
Informatik : Jurnal Ilmu Komputer Vol 21 No 3 (2025): Desember 2025
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v21i3.12434

Abstract

This study aims to develop a sorting algorithm for the SmartEdu Conveyor using computer vision technology to enhance accuracy and efficiency in automated sorting systems. The system integrates a Raspberry Pi 4 as the main processing unit and employs the YOLOv8 object detection algorithm to classify geometric objects moving on a conveyor belt. Images captured by an overhead camera are processed in real time, and the results are transmitted through the MQTT protocol using the Paho MQTT library. Node-RED functions as the Human-Machine Interface (HMI), while a Programmable Logic Controller (PLC) drives double-acting pneumatic cylinders to perform the sorting mechanism. Experimental tests conducted at three conveyor speeds demonstrate that the system achieves an average accuracy confidence of 89.38% at 1 cm/s, 78.57% at 1.7 cm/s, and 59.28% at 2.3 cm/s. Further performance evaluation using the Precision–Recall curve yields a mean Average Precision (mAP) of 0.993 at an Intersection over Union (IoU) threshold of 0.5, indicating highly accurate object detection capability. The proposed YOLOv8-based sorting system demonstrates reliable real-time operation, high precision, and robust communication between vision and control modules. It will be implemented as a SmartEdu teaching aid prototype to support automation learning and industrial training applications. This work contributes to educational automation by integrating an open-source vision algorithm with industrial control architecture.
Co-Authors Abdur Rohman Harits Martawireja Adhitya Sumardi Sunarya Aliffa Shalsabilah Angga Putra Anton Prafanto Anugrah, Mochammad Dimas Aris Suryadi Asmoro, Purwandito Tulus Cepi Ramdani Dani Usman Fitria Suryatini Givy Devira Ramady Givy Devira Ramady Griffani Megiyanto Rahmatullah Hadi Supriyanto Mindit Eriyadi Muhammad Ayat Hidayat Muhammad Nursyam Rizal Nazmi Febrian Ridwan Rizqi Aji Pratama Sandy Bhawana Mulia Sendi Wiryawan Siti Aminah SITI AMINAH Suharyadi Pancono Topan Pratomo Yuda Muhammad Hamdani Yuliadi Erdani, Yuliadi