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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Abdimas Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengabdian Pada Masyarakat Journal of Education Technology Journal of Robotics and Control (JRC) INTEGRITAS : Jurnal Pengabdian Jurnal Bumigora Information Technology (BITe) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) International Journal of Robotics and Control Systems Mechanical Engineering for Society and Industry Jurnal Nasional Teknik Elektro dan Teknologi Informasi Electrician : Jurnal Rekayasa dan Teknologi Elektro Semar : Jurnal Sosial dan Pengabdian Masyarakat
Feri Adriyanto
Departement Of Electrical Engineering, Faculty Of Engineering, Universitas Sebelas Maret
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Making an Electric Vehicle Charging System as a learning tool for the community About Electric Vehicles Adriyanto, Feri; Nizam, Muhammad; Anwar, Miftahul; Ramelan, Agus; Warindi, Warindi; Saputro, Joko Slamet; Inayati, Inayati
Jurnal Abdimas Vol 27, No 2 (2023): December 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/abdimas.v27i2.48670

Abstract

The purpose of this service program is to introduce coomunity in Magetan Regency to electric vehicle technology. The material presented is basic material covering the meaning, benefits, and components of electric vehicles using developing charging system prototipe. people who visit the Refugia Garden are asked to immediately try the electric vehicle and after completion are asked to carry out the charging process themselves. By observing and trying it directly, it is hoped that the community's main set of electric vehicles will be formed as a way to reduce carbon emissions.The purpose of this service program is to introduce coomunity in Magetan Regency to electric vehicle technology. The material presented is basic material covering the meaning, benefits, and components of electric vehicles using developing charging system prototipe. people who visit the Refugia Garden are asked to immediately try the electric vehicle and after completion are asked to carry out the charging process themselves. By observing and trying it directly, it is hoped that the community's main set of electric vehicles will be formed as a way to reduce carbon emissions.
Design of intelligent cruise control system using fuzzy-PID control on autonomous electric vehicles prototypes Saputro, Joko Slamet; Anwar, Miftahul; Adriyanto, Feri; Ramelan, Agus; Yusuf, Putra Maulana; Irsyadi, Fakih; Firmansyah, Rendra Dwi; Putri, Tri Wahyu Oktaviana
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.877

Abstract

Electric vehicles provide a solution for using alternative fuels, namely, electricity. Electric vehicles are used for short distances and intercity travel over long distances, increasing the risk of accidents. Cruise Control is a technology embedded in vehicles to maintain stable speeds; this system will automatically adjust the vehicle's speed when motion changes cause changes in vehicle speed. This study aims to apply lidar sensors to detect distance in the Intelligent Cruise Control (ICC) system using the Fuzzy-PID control method. Testing results were obtained at safe distance inputs of 5, 6, and 7 meters with various object distances. All the tests were carried out; the response systems were obtained with an average settling time of 5 seconds and an average overshoot of 1.53%. Therefore, the proposed Fuzzy-PID method works well for controlling Intelligent Cruise Control systems in autonomous electric vehicle prototypes.
Application of Sentiment Analysis as an Innovative Approach to Policy Making: A review Firdaus, Asno Azzawagama; Saputro, Joko Slamet; Anwar, Miftahul; Adriyanto, Feri; Maghfiroh, Hari; Ma'arif, Alfian; Syuhada, Fahmi; Hidayat, Rahmad
Journal of Robotics and Control (JRC) Vol 5, No 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.22573

Abstract

This literature review comprehensively explains the role of sentiment analysis as a policymaking solution in companies, organizations, and individuals. The issue at hand is how sentiment analysis can be effectively applied in decision making. The solution is to integrate sentiment analysis with the latest NLP trends. The contribution of this research is the assessment of 100-200 recent studies in the period 2020-2024 with a sample of more than 5,000 data, as well as the impact of the resulting policy recommendations. The methods used include evaluation of techniques such as Deep Learning, lexicon-based, and Machine Learning, using evaluation matrices such as F1-score, precision, recall, and accuracy. The results showed that Deep Learning techniques achieved an average accuracy of 93.04%, followed by lexicon-based approaches with 88.3% accuracy and Machine Learning with 83.58% accuracy. The findings also highlight the importance of data privacy and algorithmic bias in supporting more responsive and data-driven policymaking. In conclusion, sentiment analysis is reliable in areas such as e-commerce, healthcare, education, and social media for policy-making recommendations. However, special attention should be paid to challenges such as language differences, data bias, and context ambiguity which can be addressed with models such as mBERT, model auditing, and proper tokenization.
Prototype Perancangan dan Implementasi Alat Perontok dan Pengering Padi Otomatis dengan Konsep Teknologi Pembangkit Listrik Tenaga Surya untuk Meningkatkan Produktivitas Hasil Pertanian Sulistyo, Meiyanto Eko; Apribowo, Chico Hermanu Brillianto; Adriyanto, Feri
Jurnal Bumigora Information Technology (BITe) Vol 3 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1305

Abstract

Dewasa ini pemanfaatan teknologi untuk meningkatkan hasil pertanian tumbuh pesat. Salah satu bentuk pemanfaatannya adalah dengan menggunakan energi terbarukan untuk meningkatkan produktivitas hasil pertanian. Energi terbarukan yang implementasinya sudah sangat banyak adalah Pembangkit Listrik Tenaga Surya (PLTS). Pengunaan PLTS sebagai sumber energi alternatif yang digunakan untuk pengerak alat perontok dan pengering padi otomatis. Petani selalu kesulitan saat musim penghujan maupun kemarau kering tiba-tiba dan sinar matahari tidak dapat mencapai intensitas maksimal saat digunakan untuk mengeringkan padi secara konvensional, oleh karena itu alat perontok dan pengeringan padi otomatis tenaga PLTS sebagai alternatif solusi. Tujuan penelitian ini adalah untuk memberi wawasan dan pengetahuan akan pembuatan dan prinsip kerja dari alat perontok dan pengeringan padi otomatis tenaga PLTS sebagai alternatif solusi untuk meningkatkan padi secara teknologi, dengan demikian diharapkan masyarakat mendapatkan manfaat lebih cepat dalam pengeringan padi dan menghemat biaya untuk pengeluaran memanen padi, sehingga dapat meningkatkan produktivitas hasil pertanian.
Project-Based Learning Approach in Autonomous Vehicle Course During Pandemic Outbreak: A Study Case Saputro, Joko Slamet; Adriyanto, Feri; Anwar, Miftahul; Ibrahim, Sutrisno; Latifan, Syaifullah Filard
Journal of Education Technology Vol. 8 No. 3 (2024): August
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v8i3.76342

Abstract

The COVID-19 pandemic has had a major impact on the education sector, including universities, which must immediately switch from classical learning to online learning. In the Electrical Engineering study program at Sebelas Maret University, one of the main challenges is achieving the learning output targets set in the courses, especially in the Autonomous Vehicles course. This study aims to examine the implementation of the Project-Based Learning (PBL) approach in the Autonomous Vehicles course during the pandemic, as well as to understand students' perceptions of the learning methods applied, including through online learning with blended learning. The study used a case study approach, where students were divided into three groups to work on an autonomous vehicle simulation project using Webots software. Each group faced different challenges, such as avoiding obstacles, overtaking other vehicles, and self-parking. A questionnaire was used to collect data on students' perceptions of the implementation of PBL. The results showed that PBL was successfully implemented well in the Autonomous Vehicles course, although there were several challenges, especially related to the duration of the project. Overall, students felt that this method was effective in improving their technical and soft skills, such as critical thinking, problem solving, and teamwork.
Application of Sentiment Analysis as an Innovative Approach to Policy Making: A review Firdaus, Asno Azzawagama; Saputro, Joko Slamet; Anwar, Miftahul; Adriyanto, Feri; Maghfiroh, Hari; Ma'arif, Alfian; Syuhada, Fahmi; Hidayat, Rahmad
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.22573

Abstract

This literature review comprehensively explains the role of sentiment analysis as a policymaking solution in companies, organizations, and individuals. The issue at hand is how sentiment analysis can be effectively applied in decision making. The solution is to integrate sentiment analysis with the latest NLP trends. The contribution of this research is the assessment of 100-200 recent studies in the period 2020-2024 with a sample of more than 5,000 data, as well as the impact of the resulting policy recommendations. The methods used include evaluation of techniques such as Deep Learning, lexicon-based, and Machine Learning, using evaluation matrices such as F1-score, precision, recall, and accuracy. The results showed that Deep Learning techniques achieved an average accuracy of 93.04%, followed by lexicon-based approaches with 88.3% accuracy and Machine Learning with 83.58% accuracy. The findings also highlight the importance of data privacy and algorithmic bias in supporting more responsive and data-driven policymaking. In conclusion, sentiment analysis is reliable in areas such as e-commerce, healthcare, education, and social media for policy-making recommendations. However, special attention should be paid to challenges such as language differences, data bias, and context ambiguity which can be addressed with models such as mBERT, model auditing, and proper tokenization.
Concerns of Ethical and Privacy in the Rapid Advancement of Artificial Intelligence: Directions, Challenges, and Solutions Furizal, Furizal; Ramelan, Agus; Adriyanto, Feri; Maghfiroh, Hari; Ma'arif, Alfian; Kariyamin, Kariyamin; Masitha, Alya; Fawait, Aldi Bastiatul
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.24090

Abstract

AI is a transformative technology that emulates human cognitive abilities and processes large volumes of data to offer efficient solutions across various sectors of life. Although AI significantly enhances efficiency in many areas, it also presents substantial challenges, particularly regarding ethics and user privacy. These challenges are exacerbated by the inadequacy of global regulations, which may lead to potential abuse and privacy violations. This study provides an in-depth review of current AI applications, identifies future needs, and addresses emerging ethical and privacy issues. The research explores the important roles of AI technologies, including multimodal AI, natural language processing, generative AI, and deepfakes. While these technologies have the potential to revolutionize industries such as content creation and digital interactions, they also face significant privacy and ethical challenges, including the risks of deepfake abuse and the need for improved data protection through platforms like PrivAI. The study emphasizes the necessity for stricter regulations and global efforts to ensure ethical AI use and effective privacy protection. By conducting a comprehensive literature review, this research aims to provide a clear perspective on the future direction of AI and propose strategies to overcome barriers in ethical and privacy practices.
Utilization of Tiktok as a Social Media Platform for Tourism Promotion in Kepyar Village, Purwantoro District, Wonogiri Regency Ramelan, Agus; Adriyanto, Feri; Warindi, Warindi; Saputro, Joko Slamet; Sulistyo, Meiyanto Eko; Faishol, Fahmi; Novitasari, Purwati Eka; Cahyaningrum, Sakira Elen
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 2 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i2.146-153

Abstract

Kepyar Village, located in Purwantoro District, Wonogiri Regency, possesses significant potential for the development of natural tourism due to its lush and pristine environment. However, despite its scenic beauty, the village remains relatively underpromoted, resulting in limited tourist visits, predominantly from nearby areas. This study explores the use of TikTok as a promotional tool to enhance the visibility of Kepyar Village as a tourist destination. By utilizing TikTok for destination branding, the village aims to attract a wider audience, thereby benefiting the local economy and community. The initiative is expected to raise broader public awareness about Kepyar Village’s tourism potential, contributing not only to its reputation as a tourist village but also providing an economic avenue for residents to improve their livelihoods.
Collision Avoidance in Mini Autonomous Electric Vehicles Using Artificial Potential Fields for Outdoor Environment Saputro, Joko Slamet; Juliatama, Hanif Wisti; Adriyanto, Feri; Maghfiroh, Hari; Apriaskar, Esa
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1708

Abstract

The rapid advancement of technology is driving the transition toward Society 5.0, where intelligent transportation systems enhance safety, efficiency, and sustainability. One of the biggest challenges in transportation is the high frequency of vehicle accidents, with approximately 80% attributed to driver error. To mitigate this, Advanced Driver Assistance Systems (ADAS) have been developed to improve vehicle autonomy and reduce accidents. This research proposes a potential field-based collision avoidance system for autonomous vehicle navigation, where the vehicle and obstacles act as positive poles, repelling each other, while the target destination serves as a negative pole, attracting the vehicle. Experimental results demonstrate a GPS positioning error of 1.55 m with a 66% success rate and LiDAR sensor accuracy of 96.4%, exceeding the required 95% threshold. Obstacle avoidance was tested with two safety thresholds (2 m and 2.5 m) across single- and two-obstacle scenarios. The 2 m threshold resulted in shorter travel distances (16.406 m vs. 16.535 m for 2.5 m) and faster completion times (19.036 s vs. 19.144 s), while the 2.5 m threshold provided greater clearance. GPS accuracy was significantly influenced by HDOP values and satellite count, with lower HDOP improving trajectory precision. The system successfully adjusted its trajectory in response to obstacles, ensuring effective real-time navigation.
PENGUATAN KAPASITAS BENGKEL KONVERSI UNTUK MENDUKUNG PROGRAM KENDARAAN RAMAH LINGKUNGAN Mufti Reza Aulia Putra; Nizam, Muhammad; Adriyanto, Feri; Inayati, Inayati; Warindi, Warindi; Slamet Saputro, Joko; Anwar, Miftahul; Ramelan, Agus; Magfiroh, Hari; Brilianto Apribowo, Chico Hermanu
SEMAR : Jurnal Sosial dan Pengabdian Masyarakat Vol. 3 No. 3 (2025): Semar : Jurnal Sosial dan Pengabdian Masyarakat
Publisher : CV. Kalimasada Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59966/semar.v3i3.1992

Abstract

The capacity strengthening program for electric vehicle conversion workshops at SMK Karya Nugraha Boyolali was implemented through a synergistic collaboration model between universities, vocational schools, and industry. This study employed a qualitative descriptive approach with a case study method to evaluate the effectiveness of the six-month program. The findings revealed a significant improvement in participants’ technical competencies, as evidenced by the increase in pre-test and post-test scores, as well as the successful development of a solar photovoltaic (PV)-based electric vehicle charging station prototype. Beyond technical achievements, the program also strengthened multi-stakeholder collaboration and fostered the creation of a micro-scale clean energy ecosystem within the school environment. These results demonstrate that practice-based vocational training combined with strategic collaboration can make a substantial contribution to achieving the Sustainable Development Goals (SDGs), particularly clean energy (SDG 7), industry innovation (SDG 9), and climate change mitigation (SDG 13).
Co-Authors Agus Mujianto Agus Ramelan Agus Ramelan Agus Ramelan Agus Ramelan Aldi Bastiatul Fawait Fawait Aldi Fahli Muzaqih Alfian Ma’arif Alfido Marchandi Faizatama Alfin Hikmaturokhman Alif Ilham Virdaus ALYA MASITHA Andayani Yuwana Sari Andhika Rizkita Putera Annisa Larasati Febrianingrum Anrico Gideon Alfano Anwar, Miftahul Apribowo, Chico Hermanu Brillianto Arif Nur Afandi Arthur Joshua Titus Asno Azzawagama Firdaus Augustinus Sujono Augustinus Sujono Augustinus Sujono Augustinus Sujono Augustinus Sujono Azis Ubaidilah Brilianto Apribowo, Chico Hermanu Cahyaningrum, Sakira Elen Chico Hermanu B.A. Diah Anggi Munika Dina Mifika Sari Esa Apriaskar Fahmi Syuhada Faishol, Fahmi Firmansyah, Rendra Dwi Furizal, Furizal Geovani Rahmad Illahi Ghea Faradiba Gilang Satria Ajie Hari Maghfiroh Hayyan Yusuf Henry Probo Santoso Henry Probo Santoso Hermanu, Chico Hibatul Wafi Ah Fahrudin Ibrahim, Muhammad Ibrahim, Sutrisno Inayati Inayati Inayati Inayati Inayati Inayati Indar Chaerah Gunadin IRSYADI, FAKIH Irwan Iftadi Irwan Iftadi Ivan Abdhira Sukriyandoko Joko Hariyono Joko Slamet Saputro Joko Slamet Saputro Joko Slamet Saputro Juliatama, Hanif Wisti Kariyamin, Kariyamin Lambang GH, R.Lulus Latifan, Syaifullah Filard Luqman Hadi Dwi Satryo Magfiroh, Hari Maghfiroh, Hari Meiyanto Eko Sulistyo Meiyanto Eko Sulistyo Miftahul Anwar Miftahul Anwar Mohammad Hakim Adhiguna Mohd Noh Dalimin Mohd Zainizan Sahdan Mufti Reza Aulia Putra Mufti Reza Aulia Putra Muhamad Dwi Maulana Muhammad Dzaky Ashidqi Muhammad Hamka Ibrahim Muhammad Hamka Ibrahim Muhammad Hammam Al-Choirie Muhammad Ibrahim Muhammad Nizam Muhammad Renaldy Darmawan Musyaffa’ Ahmad Nada Syadza Azizah Novitasari, Purwati Eka Oktavian Listiyanto Pringgo Widyo Laksono Putra Maulana Yusuf Putri, Tri Wahyu Oktaviana R Lulus Lambang GH Ramelan, Agus Rizal Mujaddid Irsyad Rizki Misbakhus Suroya Royani Aulia Ihsanti Savira Kharisma Putri Stefanus Marcellindo Subuh Pramono Sujono, Augustinus Syuhada, Fahmi Warindi D Yuki Martha Anggraini Yusuf Athallah Adriyansyah Yusuf, Putra Maulana