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All Journal CARADDE: Jurnal Pengabdian Kepada Masyarakat Mimbar Ilmu Journal of Industrial Automation and Electrical Engineering Journal of Counseling, Education and Society
Risfendra
Universitas Negeri Padang
Humanities Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Models and outcomes of work-based learning and industry collaboration for vocational teacher professional development: a systematic literature review Satria Yudhistira; Nurhasan Syah; Bambang Heriyadi; Risfendra; Muhammad Akbar
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/08jces689200

Abstract

Vocational teachers are expected to continuously develop pedagogical and industry-relevant competencies to address rapid technological and workforce changes. However, evidence regarding the effectiveness of work-based learning and industry collaboration in supporting vocational teacher professional development remains fragmented across different educational contexts. This study synthesizes empirical evidence on vocational teacher professional development through a Systematic Literature Review (SLR). Following the PRISMA 2020 guidelines, relevant studies were retrieved from the Scopus database using predefined search strategies and screened according to predetermined inclusion and exclusion criteria. therteen empirical studies published between 2020 and 2025 were included and analyzed using thematic synthesis. The findings indicate that work-based learning, workplace immersion, teaching factory, and industry collaboration consistently strengthen teachers’ pedagogical, technical, and professional competencies while improving curriculum relevance. Nevertheless, institutional support, funding, and sustainable school–industry partnerships remain key implementation challenges. These findings provide an evidence-based foundation for developing sustainable vocational teacher professional development programs.
Penerapan Sistem Penyiraman Otomatis Berbasis IOT Untuk Meningkatkan Efisiensi Dan Produktivitas Ladang Bawang Emilham Mirshad; Riki Mukhaiyar; Risfendra; Ali Basrah Pulungan; Ahmad Aqila; Yogi Ardian Hidayatullah
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 1 (2026): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v9i1.3210

Abstract

Kegiatan pengabdian ini bertujuan meningkatkan efisiensi penggunaan air dan produktivitas pertanian bawang merah melalui penerapan sistem penyiraman otomatis berbasis Internet of Things (IoT) di kawasan Danau Diatas, Kecamatan Lembah Gumanti, Alahan Panjang. Pertanian tradisional yang sudah dianggap kurang efisien dan dianggap terlalu banyak memakan waktu bagi petani, disini kami ingin membantu dengan tujuan untuk menjawab keluhan petani dan juga menjadi gerbang awal untuk mendekatkan petani dengan teknologi yang modern serta efisien. Sistem dirancang menggunakan sensor kelembapan tanah, mikrokontroler ESP32, dan katup solenoid yang dikendalikan secara otomatis berdasarkan data kelembapan. Pelatihan penggunaan sistem juga diberikan kepada kelompok tani setempat. Hasil pengabdian menunjukkan bahwa sistem ini mampu menghemat penggunaan air hingga 40% serta meningkatkan produktivitas tanaman sebesar 25%. Kegiatan ini membuktikan bahwa penerapan teknologi IoT dapat mendukung pertanian modern yang efisien, berkelanjutan, dan ramah lingkungan.
Cycle time analysis of automation system using PLC and HMI based Scara Robot Vikry Alvi Putra; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/asxh9y88

Abstract

This article discusses about the design of palletizing machine automation system using SCARA robot based on PLC and HMI. The purpose of this design is to be able to perform programming on the SCARA Robot using a Programmable Logic Controller (PLC), design an interface design for the control system and monitor the system response using a Human Machine Interface (HMI). And test the functional performance of the SCARA T3 robot. The design is supported by Siemens S7-1200 PLC device and Siemens KTP-700 Basic PN HMI. A series of programming processes and making system interfaces are carried out using Epson RC + 7.0 and TIA Portal software. The results of the test can be concluded the design of the palletizing machine automation system can run well at 80% high speed with a 100% success percentage and 0% error percentage.
Effect of SCARA Robot speed on bottle cap fitting  on rotary indexing table Aldi Simanullang; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/fey4j053

Abstract

In the Industry 4.0 era, the integration of SCARA robots with rotary indexing tables has significantly improved automation in assembly processes, particularly in bottling lines. This study investigates the effect of speed variation of the SCARA robot on the accuracy and quality of bottle cap installation using a rotary indexing table. The system was developed using a Siemens S7-1200 PLC, an Epson T6 SCARA robot, and supporting actuators such as pneumatic cylinders and stepper motors. Experiments were conducted at five different robot speeds: 10%, 20%, 30%, 40%, and 50%, with five trials for each setting. The results show a 100% success rate at 10%, 20%, and 30% speed, with proper alignment between the bottle and cap. However, at 40% speed, the success rate dropped to 85% due to minor misalignment. At 50% speed, the assembly failed completely due to synchronization issues and excessive force, resulting in a 0% success rate. These findings emphasize the importance of speed optimization to maintain synchronization between the SCARA robot and the rotary indexing table, ensuring an efficient and accurate automated bottling process
Effect of robot speed on cycle time and success rate in Automated Cover Assembly and Screwing Raihan Nanda Adrianto; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/29x36k07

Abstract

This study investigates the effect of robot speed on cycle time and success rate in an automated cover assembly and screwing process. The experimental method was used to collect data by systematically varying the robot’s movement speed and observing its impact on performance metrics. Experiments were conducted on a six axis Epson C4 industrial robot integrated with a Siemens S7 1200 programmable logic controller (PLC). Robot speed was adjusted across ten predefined levels from 6% to 33% of maximum velocity in 3% increments and for each level, three repeated trials were executed under controlled conditions. Results show that increasing speed from 6% to 33% reduces average cycle time from 908.6 s to 503.6 s for 4 product (227,1s–125,9s per product), a 44.6% improvement in efficiency. The relationship between speed and success rate is nonlinear: moderate speeds (27%–30%) yield an optimal success rate of 93.75% with cycle times of 517 s–533 s for 4 product (129s–133s per product), whereas both lower and maximum speeds decrease reliability due to vacuum pickup misalignment and screw retrieval inconsistencies. These findings underscore the need to balance speed and precision to optimize both efficiency and reliability in robotic assembly systems  
Implementation of IoT for temperature monitoring system on combustion furnace Noval Prayoga; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2pp91-97

Abstract

Combustion equipment requires precise and continuous temperature monitoring to ensure process safety and efficiency. Manual monitoring often causes delays and a lack of real-time feedback, which increases the risk of thermal instability. To address this issue, this study proposes an IoT-based temperature monitoring system that uses affordable and open-source components. The system uses an ESP32 microcontroller and a type K thermocouple for temperature measurement. Temperature data is transmitted via Wi-Fi to a PHP-based web server, stored in a MySQL database, and displayed in real-time through a remotely accessible web interface. The development method involved system design, sensor integration, microcontroller programming, and testing. Flowcharts and block diagrams were created to define the system's behavior. The system was evaluated through sensor accuracy testing, data verification, and latency measurements. The results showed that the sensor had an error margin of less than 5% compared to a gun thermometer. Data recorded by the ESP32 matches 100% with database and web outputs. Average data transmission delay is approximately 3 seconds, indicating responsive real-time monitoring. This system demonstrates a reliable, scalable, and cost-effective solution for industrial furnace monitoring, enhancing operational safety through IoT-based automation.
Comparative Performance of YOLO Versions for Pallet Detection SCARA Robot Dilham Hidayatul Fajri; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/05dbyr50

Abstract

The rapid evolution of the You Only Look Once (YOLO) object detection family from YOLOv8 to YOLO26 has produced architecturally diverse models whose relative suitability for structured industrial detection tasks remains unevaluated. This study aims to conduct a controlled comparative performance evaluation of six YOLO variants (YOLOv8, YOLOv9, YOLOv10, YOLO11, YOLOv12, and YOLO26) on an industrial pallet detection dataset to identify the optimal model for Vision-Guided Robotics (VGR) pick and place automation. All models were trained under identical conditions 50 epochs, batch size 16, 640×640 input resolution on a dataset of 4,366 annotated images across three classes (pallet_pick, pallet_place_1, pallet_place_2) using a 70/20/10 train/validation/test split. Performance was assessed using Precision, Recall, mAP@0.5, mAP@0.5:0.95, and training time. All six models achieved perfect Precision (1.0000), Recall (1.0000), and mAP@0.5 (0.9950). Differentiation emerged at mAP@0.5:0.95, where YOLOv9m achieved the highest final-epoch value (0.9776) and YOLO26m achieved the highest peak value (0.9805) with the fastest training time (80.8 minutes, 26.3% faster than YOLOv8). YOLO26 is recommended as the optimal model for industrial pallet detection, offering the best combination of localization accuracy, training efficiency, and deployment readiness through its NMS-free and DFL-free architecture.
Improving the Competence of Electrical Power Installation Engineering Teachers in the Field of Smart Building Control Systems Herlin Setyawan; Habibullah; Risfendra; Juli Sardi; Ricky Maulana; Rudi Mulya
Mimbar Ilmu Vol. 30 No. 1 (2025): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mi.v30i1.88131

Abstract

The problem addressed in this study is the mismatch between teachers’ existing competencies and the demands of the industry, particularly in smart building control systems, resulting in graduates lacking these essential skills. This study aims to enhance teachers’ professional competencies in smart building control systems through targeted training using smart building technology. A pre-experimental method was employed with one experimental class consisting of 16 teacher participants, using tests to assess knowledge and questionnaires to evaluate skills. The results were analyzed using paired-sample t-tests and effect size calculations, revealing significant improvements in both teachers’ knowledge and skills after the training. Furthermore, the large effect size indicates that the training had a substantial impact on enhancing competencies. These findings suggest that structured and precise training can effectively improve teachers’ knowledge and skills in emerging industrial technologies, which in turn positively influences the quality of education and increases graduates’ competitiveness in the labor market.
Co-Authors Ahmad Aqila Aldi Simanullang Ali Basrah Pulungan Bambang Heriyadi Dilham Hidayatul Fajri Emilham Mirshad Habibullah Herlin Setyawan Juli Sardi Muhammad Akbar Mukhaiyar, Riki Noval Prayoga Nurhasan Syah Raihan Nanda Adrianto Ricky Maulana Rudi Mulya Satria Yudhistira Vikry Alvi Putra Yogi Ardian Hidayatullah