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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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Journal : journal of robotics and control jrc

 1 
Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink Hari Maghfiroh; Musyaffa’ Ahmad; Agus Ramelan; Feri Adriyanto
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.10964

Abstract

Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.
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.
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.
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. Chico Hermanu Brilianto 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 Magfiroh Hari Maghfiroh Hayyan Yusuf Henry Probo Santoso Henry Probo Santoso Hermanu, Chico Hibatul Wafi Ah Fahrudin Ibrahim, Muhammad Ibrahim, Sutrisno 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 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 Warindi Warindi Yuki Martha Anggraini Yusuf Athallah Adriyansyah Yusuf, Putra Maulana