Article Per Year (5 Year)
p-Index From 2021 - 2026
6.669
P-Index
This Author published in this journals
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 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 Physics Social Sciences Transportation Other

Published : 67 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 67 Documents
Search

 3   4   5   6   7 
Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model Risfendra, Risfendra; Ananda, Gheri Febri; Setyawan, Herlin
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 4 (2024): August 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i4.5875

Abstract

Recycling of waste is a significant challenge in modern waste management. Conventional techniques that use inductive and capacitive proximity sensors exhibit limitations in accuracy and flexibility for the detection of various types of waste. Indonesia generates approximately 175,000 tons of waste per day, highlighting the urgent need for efficient waste management solutions. This study develops a waste classification system based on deep learning, leveraging the powerful EfficientNet-B0 model through transfer learning. EfficientNet-B0 is designed with a compound scaling method, which uniformly scales network depth, width, and resolution, providing an optimal balance between accuracy and computational efficiency. The model was trained on a dataset containing six classes of waste—glass, cardboard, paper, metal, plastic, and residue—totalling 7014 images. The model was trained using data augmentation and fine-tuning techniques. The training results show a test accuracy of 91.94%, a precision of 92.10%, and a recall of 91.94%, resulting in an F1-score of 91.96%. Visualization of predictions demonstrates that the model effectively classifies waste in new test data. Implementing this model in the industry can automate the waste sorting process more efficiently and accurately than methods based on inductive and capacitive proximity sensors. This study underscores the significant potential of deep learning models, particularly EfficientNet-B0, in industrial waste classification applications and opens opportunities for further integration with sensor and robotic systems for more advanced waste management solutions.
The Contribution Of Creative Entrepreneurial Learning Outcomes, Emotional Intelligence, And The Implementation Of Tefa On The Entrepreneurial Interest Of Class XII Jalal, Rifka; Abdullah, Rijal; Adri, Muhammad; 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.
Implementation of Finite State Automata for 6-Axis Robot in the Screwing Process Risfendra, Risfendra; Nursalam, Rapis; Purnama, Eko; Defri, Defri
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 2 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i2.445

Abstract

The screwing process is one of the important stages in the assembly of industrial products that requires high precision and time efficiency. This study implements Finite State Automata using Nondeterministic Finite Automata with the Mealy Machine model. The implementation of Finite State Automata on a 6-axis robot in the screwing process allows for better control, because each step in the process can be analyzed and programmed clearly. The system is controlled by a programmable logic controller that integrates a 6-axis robot, human machine interface, screwdriver, sensors, and pneumatic actuators. The screwing process is carried out using an automatic screwdriver, with the robot's movement following a logical sequence based on the Mealy Machine model state diagram. Each state represents the robot's operational steps, from taking tools, screws, to the screwing process. The study focuses on designing a system to move the robot according to the state diagram that activates the output based on the state transition to the input. The results show that the implementation of Finite State Automata is able to complete the screwing process consistently and repeatedly. This system also considers safe points to avoid collisions, thus supporting safety in the screwing process. The application of Finite State Automata on 6-axis robots is expected to provide convenience for users in understanding robot control in the screwing process and can be implemented according to industrial needs.
Improving the Competence of Electrical Power Installation Engineering Teachers in the Field of Smart Building Control Systems Setyawan, Herlin; Habibullah; Risfendra; Sardi, Juli; Maulana, Ricky; Mulya, Rudi
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.
Peningkatan kapasitas itik petelur di Nagari Salareh Aia Yuhendri, Muldi; Risfendra, Risfendra; Muskhir, Mukhlidi; Rasyid, Hambali
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 1 (2024): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i1.1789

Abstract

Peternakan itik petelur adalah salah satu usaha sampingan masyarakat nagari Salareh Aia Kecamatan Palembayan Kabupaten Agam, Sumatera Barat. Biasanya bibit itik di daerah ini diperoleh dari penetasan dengan induk ayam yang kapasitasnya terbatas. Untuk meningkatkan kapasitas itik petelur dilakukan peningkatan kapasitas bibit itik melalui program pengabdian Nagari Binaan yang difokuskan pada kelompok peternak itik Pondok Pesantren Jamaatul Muslimin Salareh Aia. Program ini mencakup beberapa kegiatan, yakni pengembangan kandang itik terpadu untuk pembibitan, pemasangan mesin tetas tenaga surya dan pemberian indukan dan pejantan itik petelur. Mesin tetas yang dipasang memiliki kapasitas 200 butir telur yang disuplai dengan panel surya 400 WP dan baterai 300 Ah. Semua program pengabdian ini telah sukses dilaksanakan selama dua tahun anggaran 2021 sampai tahun 2022.
Praktikalitas Training Kit Mobile Robotic pada Jurusan Teknik Elektronika Industri Habibullah, Habibullah; Ambiyar, Ambiyar; Setyawan, Herlin; Risfendra, Risfendra; Sardi, Juli
Jurnal Pendidikan Teknik Elektro Vol 4 No 2 (2023): Jurnal Pendidikan Teknik Elektro
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpte.v4i2.354

Abstract

Vocational high schools are schools that provide workers who have knowledge and skills in their respective fields. The Industrial Electronics Engineering Department is a department that provides competent workforce in the field of robotics. Payakumbuh State Vocational School 2 majoring in Industrial Electronics Engineering is experiencing problems implementing robotics learning. The problem is that schools do not yet have robotic training kits that can be used like robots in industry. Schools only have robotic training kits that can be used to understand the basic input and output uses of robots and cannot be used practically with robots in industry. Based on these problems, the aim of this research is to develop a mobile robotic training kit that is practical and can be used from basic learning to learning complex robots such as industrial applications. The research method used in this research is the research and development (R&D) method. So the results obtained in this research are a mobile robotic training kit which is considered very practical by teachers with a percentage of 88.95%. It can be concluded that the mobile robotic training kit is very practical to use in the robotics learning process
The Practicality of STEAM Based Augmented Reality (AR) Learning Media for Vocational High School Students in Robotic System Subject Alvendri, Dio; Risfendra, Risfendra; Darni , Resmi; Wulansari , Rizky Ema
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
Impact of Variable Speed Drive Jobsheet Integrated with Project-Based Learning Model on Electric Motor Control Skills of Vocational Students Setyawan, Herlin; Sukardi, Sukardi; Risfendra, Risfendra; Putri, Meri Yulianti; Oktavia, Vivi; Ambiyar, Ambiyar; Wulansari, Rizky Ema
invotek Vol 23 No 3 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i3.1155

Abstract

The problem in this study is that many students in the electrical power installation engineering (EPIE) class have not mastered the skills of electric motor control (EMC). This is because the teacher still uses traditional methods in the learning process. Namely, the teacher actively explains the material according to practical experience rather than referring to EMC learning objectives. This study aims to apply a variable speed drive (VSD) jobsheet based on project-based learning (PjBL) in the EMC learning process and measure the effectiveness of the jobsheet applied. The research method used was a pre-experiment with an intact group comparison research design. The research subjects were taken from 11th-grade students of vocational schools majoring in electrical power installation engineering and were assessed using a questionnaire instrument to evaluate students' EMC performance. Data analysis techniques used were independent t-test and effect size test. Based on the independent t-test analysis results, the t-value is larger than the t-table (t = 4.936 > 1.99962), and the significance value is 0.000, which shows a significant difference in skills between the experimental and control classes. Based on the effect size analysis, the value is 1.243, which means the jobsheet can improve students' EMC skills in the large category. Based on these two results, it is known that the PjBL-based VSD jobsheet is effective in the EMC learning process. Thus, it is expected that EPIE vocational high schools can use the PjBL-based VSD Jobsheet in the EMC learning process.
SCARA Robot Application for Automatic Vending Machine Movement Based on HMI dan IoT Febrianto, Fauzan; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/d6bn9082

Abstract

This design discusses the application of HMI and IoT-based SCARA robots to control and monitor the movement of vending machines. The purpose of this design is to be able to perform programming on the SCARA Robot using the RC-90B Controller and Programmable Logic Controller (PLC), design interface designs for control systems, and monitor system responses using the Human Machine Interface (HMI) and Internet of Things (IoT). As well as testing the functional performance of the SCARA robot and Node-RED. This design is supported by the RC-90B controller, Siemens S7-1200 PLC, Seimens KTP-700 Basic PN HMI, and Node-RED. A series of programming processes and making system interfaces are carried out using Epson RC-7.0 software, TIA Portal, and Node-RED. In this design, a vending machine movement process will be made, namely: pick, place, and assembly materials using vacuum and gripper assistance. In addition, the author also uses the palletizing function in the material preparation process. Then take important data such as robot speed, cycle time, and success rate, where each product is tested and get the best results with a 0% error value
Effect of 6-Axis Robot Speed on Cycle Time and Accuracy as Pick and Place Media on Dummy CNC Jayasri Iniko Wirefa; 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/w3hdxr48

Abstract

This study investigates the impact of a 6-axis robot's speed on cycle time and accuracy in pick-and-place operations integrated with CNC machines. As Industry 4.0 emphasizes automation and efficiency, optimizing robotic performance in manufacturing processes is critical. The experiment tested five speed variations (20%, 40%, 60%, 80%, and 100%) to analyze their effects on cycle time and placement accuracy. Results demonstrated a significant reduction in cycle time as speed increased: from an average of 66.45 seconds at 20% speed to 26.83 seconds at 100%. However, maximum speed (100%) introduced vibrations, causing placement errors and robot failures due to excessive force detection. In contrast, 80% speed achieved an optimal balance, maintaining high accuracy (no errors) with a cycle time of 29.07 second, only 2.24 seconds slower than 100%. The study concludes that while higher speeds enhance productivity, 80% is recommended as the default setting to ensure precision and operational reliability. The integration of sensors, grippers, and automated door control further validated the system's effectiveness in industrial CNC applications.
Co-Authors Abdul Hakim Abdullah, MT, Dr. Rijal 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 Alvendri, Dio Ambiyar, Ambiyar Anak Agung Gede Sugianthara Ananda, Gheri Febri Apsada, Satria Asfinaldi, Asfinaldi Aslimeri, Aslimeri Danni Maulana Ikhsan Darni , Resmi Dasril Aldo Defri, Defri 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 Habibullah Hambali Hambali Hambali Hambali Hansi Effendi Hariyadi Hariyadi Hendra, Ayu Herlin Setyawan Herris Yamashika Ida Ayu Putu Sri Widnyani Irma Husnaini isnawati isnawati Jalal, Rifka 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 Putri, Meri Yulianti Rafika Silfia Rahmi Okta Tri Putri Rasyid, Hambali Reka Elsa Putra Ricky Maulana Rio Bina Guna Rudi Mulya Setyawan, Herlin Seven Fri Simanullang, Aldi Solly Aryza Sonia Anjeli Sukardi Sukardi Sukardi, Sukardi Syahril Taali, Taali Tari Pujiati Tito Ardi Ardiansyah Tomi Kurniawan Valendi, Ihsan Riga Veithzal Rivai Zainal Vikry Alvi Putra Waradzi Mustakim Wulansari , Rizky Ema Wulansari, Rizky Ema Yefriani, Fitri Yoga Maulana Putra