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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining KACANEGARA Jurnal Pengabdian pada Masyarakat Mimbar Ilmu Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ JETL (Journal Of Education, Teaching and Learning) Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Journal of Vocational Education Studies (JOVES) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JPTE: Jurnal Pendidikan Teknik Elektro JTEIN: Jurnal Teknik Elektro Indonesia Mechanical Engineering for Society and Industry Indonesian Journal Of Educational Research and Review Journal of Industrial Automation and Electrical Engineering
Risfendra, Risfendra
Universitas Negeri Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Effect of SCARA Robot speed on bottle cap fitting  on rotary indexing table Simanullang, Aldi; 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 Adrianto, Raihan Nanda; 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 Prayoga, Noval; 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.
Automatic Pre-Starting of Oil-Waste Fueled Stove Based on Microcontroller and HMI Risfendra, Risfendra; Pulungan, Ali Basrah; Parmanoan, Durain; Prayoga, Noval
invotek Vol 25 No 2 (2025): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v25i2.1271

Abstract

The utilization of waste oil as an alternative cooking fuel is limited by its complex ignition process, which requires preheating to reduce viscosity and ensure stable combustion. Conventional methods, such as burning tissue paper, are unsafe, inefficient, and impractical, hindering broader adoption. This study presents the development of an automatic preheating system for waste oil stoves using an ESP32 microcontroller and HMI with TFT LCD display. The system integrates a thermocouple sensor for accurate real-time temperature monitoring and an automatic cut-off mechanism to halt fuel supply during ignition failure, and includes a buzzer for audible alarms during safety shutdowns to improving operational safety. The ignition sequence employs LPG as a preheater before automatically switching to waste oil at the optimal temperature, with programmed control of the blower, igniter, and valves. Experimental results showed thermocouple measurement accuracy with an average error of 4% and high reliability in fuel transition, except at low initial temperatures (31°C and 42°C) where insufficient heating time resulted in high viscosity and transition failure. The safety system effectively prevented hazards, while the HMI provided precise control and monitoring of actuators and combustion conditions. Overall, the proposed system enhances the safety, reliability, and practicality of waste oil stoves and demonstrates potential for industry innovation and renewable energy applications. Nevertheless, the system still requires LPG for the preheating stage and continuous electrical power, which can reduce effectiveness and make it harder to use in mobile or areas without electricity.
Microcontroller-based Automatic Granule Weighing device with Human Machine Interface (HMI) integration Valendi, Ihsan Riga; 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.i2.pp227-235

Abstract

This research presents the design and development of an automatic granule weighing system based on a microcontroller, integrated with a TFT-based Human Machine Interface (HMI). The system aims to enhance accuracy and efficiency in the weighing process of granular raw materials, particularly in small- to medium-scale industries. It utilizes a load cell sensor and HX711 module for precise weight measurement, a vibrating motor to ensure consistent material flow, and a servo motor to control the dispensing valve. The HMI enables users to set target weights, adjust vibration speed, and monitor real-time data. Testing was conducted using rice granules with three different speed modes (low, medium, and high) and eight target weight variations. The system achieved an average error of 0.676% at low speed, 0.184% at medium speed, and 0.542% at high speed, with an overall accuracy of 99.533%. The integration of automated weighing mechanisms with an intuitive HMI demonstrates the system’s potential for industrial applications requiring precise, reliable, and user-friendly material handling
The Practicality of STEAM Based Augmented Reality (AR) Learning Media for Vocational High School Students in Robotic System Subject Dio Alvendri; Risfendra Risfendra; Resmi Darni; Rizky Ema Wulansari
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.8586

Abstract

This study aims to create and implement STEAM-based Augmented Reality (AR) learning media for the class XI robotics systems curriculum at SMK N 1 West Sumatra. The research follows a Research and Development (R&D) approach using the ADDIE development model. Participants included class XI students and robotics systems teachers. Data collection methods comprised questionnaires and interviews, with descriptive data analysis employed to assess the validity and practicality of the developed learning media. The findings indicate that the STEAM-based AR learning media is effective. According to media expert validation, the average score was 0.88 (≥ 0.66), categorizing it as valid. Material expert validation yielded an average score of 0.85 (≥ 0.66), also marking it as valid. The practicality assessment showed that teacher responses averaged 90.14%, and student responses averaged 92.03%, both rated as very practical. Consequently, the STEAM-based AR learning media is considered suitable for class XI robotics systems at SMK N 1 West Sumatra, based on the validity and practicality tests
The Contribution Of Creative Entrepreneurial Learning Outcomes, Emotional Intelligence, And The Implementation Of Tefa On The Entrepreneurial Interest Of Class XII Rifka Jalal; Rijal Abdullah; Muhammad Adri; Risfendra Risfendra
JETL (Journal of Education, Teaching and Learning) Vol 10 (2025): Special Issue
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jetl.v10i1.7225

Abstract

This study aims to examine the relationship between Productive Creative Entrepreneurship learning outcomes, emotional intelligence, and the implementation of the Teaching Factory on students’ entrepreneurial interest. The background of this research is based on the need to strengthen entrepreneurial spirit among vocational students to prepare them as job creators in an increasingly competitive labor market. Entrepreneurial interest is seen as a critical factor that determines students’ motivation and readiness to start a business after graduation. This research used a quantitative correlational approach involving 105 students of class twelve at SMKN 2 Gunung Talang. Data were collected through questionnaires and documentation, then analyzed using multiple linear regression techniques. The sampling technique used was proportional stratified total sampling 75 Students. The results showed a significant positive relationship between learning outcomes in Productive Creative Entrepreneurship and entrepreneurial interest (t = 2.418, p < 0.05), emotional intelligence and entrepreneurial interest (t = 6.309, p < 0.05), and Teaching Factory implementation and entrepreneurial interest (t = 4.420, p < 0.05). Furthermore, the joint analysis revealed that all three variables simultaneously had a significant influence on entrepreneurial interest (F = 21.897, p < 0.05). In conclusion, the study indicates that improving learning outcomes, emotional intelligence, and practical experience through Teaching Factory are crucial factors in fostering students’ interest in entrepreneurship. These findings suggest that a comprehensive educational approach integrating cognitive, emotional, and practical aspects is essential to prepare students to become successful young entrepreneurs.
Design and simulation of BLDC motor control using MATLAB simulink: A detailed approach Putra, Dwi Sudarno; Purwanto, Wawan; Risfendra, Risfendra; Abratiguin, Joel O.; Baharudin, Agus; Huda, Thorikul
Mechanical Engineering for Society and Industry Vol. 5 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.13370

Abstract

Brushless Direct Current (BLDC) motors are increasingly utilized across various applications due to their high efficiency and reliability. However, their control requires precise handling, especially during the commutation process. This study presents a detailed simulation design for BLDC motor control using MATLAB Simulink, focusing on the Six-Step Commutation method and PID-based speed regulation. The methodology involves constructing an open-loop model to analyze commutation behavior, followed by a closed-loop system using PID controllers with automatic parameter tuning. The simulation demonstrates accurate replication of hall sensor signals, back-EMF waveforms, switching patterns, and motor responses. Results reveal that the PID controller effectively maintains target speed across varying reference inputs and load conditions, while phase current and electromagnetic torque increase proportionally with speed and load. Results confirm correct switching in open loop and show that, in closed loop, the controller maintains speed within ±2% of the target with brief, well-damped transients. Phase current and torque responses scale with speed and load, informing practical refinements (anti-windup, ripple mitigation, soft-commutation timing). The findings certify that simulation is a vital step to ensure functional logic and hardware readiness, minimizing risks and enhancing system performance prior to physical implementation.
Co-Authors Abdullah, MT, Dr. Rijal Abratiguin, Joel O. Achmad Iqbal Adi Gumelar Bagaskara Adrianto, Raihan Nanda Agung Tri Putra Al Amin Aldo Aulia Akbar Alfirdaus Alfirdaus Alham Ali Ali Basrah Pulungan Alphin Stephanus Ambiyar, Ambiyar Anak Agung Gede Sugianthara Ananda, Gheri Febri Apsada, Satria Asfinaldi, Asfinaldi Aslimeri, Aslimeri Baharudin, Agus Danni Maulana Ikhsan Dasril Aldo Defri, Defri Dio Alvendri Doli Hasbi Simanjuntak Dwi Sudarno Putra Eko Solihin EKO WAHYUDI Fadjri Khairul Fahmi Rizal Julianto Fahreza, Dadang Suriana Febrianto, Fauzan Firda Ayu Atma Novita Fivia Eliza Fuji Widia Gheri Febri Ananda Gilang Sandhika Putra Gozy Hermana Habibullah Hambali Hambali Hambali Hambali Hansi Effendi Hariyadi Hariyadi Hendra, Ayu Herlin Setyawan Herris Yamashika Ida Ayu Putu Sri Widnyani Irma Husnaini isnawati isnawati Jayasri Iniko Wirefa Juli Sardi Juni Juni Khairunnas Khairunnas M Harun Rosyid M. Giatman Mardizal, Jonni Miftahul Jannah Muhamad Fajri Muhammad Adri Muldi Yuhendri Muskhir, Mukhlidi Niswardi Jalinus Nizwardi Jalinus Nursalam, Rapis Nurwijayanti Oktavia, Vivi Pandu Aldhareva Parmanoan, Durain Prayoga, Noval Purnama, Eko Purwanto, Wawan Putri, Meri Yulianti Rafika Silfia Rahmi Okta Tri Putri Rasyid, Hambali Reka Elsa Putra Resmi Darni Ricky Maulana Rifka Jalal Rio Bina Guna Rizky Ema Wulansari Rudi Mulya Setyawan, Herlin Seven Fri Simanullang, Aldi Sonia Anjeli Sukardi Sukardi Sukardi, Sukardi Syahril Taali, Taali Tari Pujiati Thorikul Huda Tito Ardi Ardiansyah Tomi Kurniawan Valendi, Ihsan Riga Veithzal Rivai Zainal Vikry Alvi Putra Waradzi Mustakim Wulansari, Rizky Ema Yefriani, Fitri Yoga Maulana Putra