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All Journal Jurnal Otomasi Kontrol dan Instrumentasi
Nazuwatussya’diyah Nazuwatussya’diyah
Program Studi Rekayasa Instrumentasi dan Automasi, Fakultas Teknologi Industri, Institut Teknologi Sumatera, 35365, Lampung, Indonesia
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering

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Sistem Deteksi Cacat Pada Biji Kopi Melalui Model Algoritma Roboflow- Detection Transformer (RF-DTER) Sabar Sabar; Nazuwatussya’diyah Nazuwatussya’diyah; Kisna Pertiwi; Muhamad Fathurahman
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.3

Abstract

Coffee bean quality control is a critical stage in processing industries to meet export and consumption standards. Traditional visual manual inspection often results in inconsistency, subjectivity, and reduced production throughput. This research implements the Roboflow Detection Transformer (RF-DETR), an end-to-end transformer-based object detection architecture, to identify subtle and complex coffee bean defects. The study uses image processing and machine learning with a labeled dataset of 2,010 coffee bean images classified into five defect categories: brown, black, unripe, broken black, and partially black. The data are split into 75% training, 17% validation, and 8% testing. Performance evaluation shows RF-DETR detects and classifies all defect types effectively, achieving a mean Average Precision (mAP) of 97,6%, with 95,7% precision, 91,0% recall, and an F1 score of 93,29%. These results indicate that RF-DETR balances accurate spatial localization with reliable class prediction, minimizes false positives, and maintains strong detection sensitivity. Therefore, RF-DETR provides a solid technological basis for high-precision, real-time automated coffee bean sorting in industrial settings. For deployment, it can be integrated with production cameras and conveyor sorting actuators to deliver fast, consistent decisions. Future work may optimize augmentation, lighting calibration, and edge computing deployment to improve robustness across varied production lines in practice.
Rancang Bangun Purwarupa Automated Guided Vehicle (AGV) Hemat Biaya Berbasis Mikrokontroler untuk Distribusi Material Internal pada Industri Kecil Menengah (IKM) Yudha Hamdi Arzi; Nazuwatussya’diyah Nazuwatussya’diyah; Achmad Chalid Afif Alfajrin; Muhammad Ihsan Maulana; Mufrih Labib Sadad; Dwi Rahmawati
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 2 (2026): [FORTHCOMING] Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.2.3

Abstract

Small and medium-sized enterprises (SMEs) require internal material distribution systems that are efficient, safe, maintainable, and affordable. This study aims to design and test a low-cost microcontroller-based Automated Guided Vehicle (AGV) prototype for internal material distribution in SMEs. The system uses a differential drive configuration, BLDC motor driver, magnetic path navigation, Roboteq MGS1600 magnetic sensor, RPLIDAR C1, ESP32-C3, limit switches, emergency stop, modular battery, and STM32-based PCB control board. The research method includes requirement identification, design formulation, mechanical and electronic design, control software development, system integration, and functional testing. The results show that the magnetic sensor detected magnetic tape up to 3.0 cm. The obstacle detection system produced stopping-distance MAE values of 4.02 cm for human obstacles and 9.39 cm for object obstacles relative to the 30 cm setpoint. Motor-driver characterisation showed an effective PWM duty cycle range of 31-70%, with a saturation speed of about 283 RPM. The AGV prototype also towed approximately 403 kg on a flat track. These results indicate that the proposed AGV can serve as an economical initial alternative for material handling automation in SMEs.
Co-Authors Achmad Chalid Afif Alfajrin Dwi Rahmawati Kisna Pertiwi Mufrih Labib Sadad Muhamad Fathurahman Muhammad Ihsan Maulana Sabar Sabar Yudha Hamdi Arzi