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All Journal Mechatronics, Electrical Power, and Vehicular Technology Abdimas Jurnal Pengabdian Pada Masyarakat Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Elektronika dan Telekomunikasi Jurnal Basicedu Journal of Education Technology Barometer Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) INTEGRITAS : Jurnal Pengabdian REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) International Journal of Robotics and Control Systems Jurnal Basicedu Semar : Jurnal Sosial dan Pengabdian Masyarakat Journal of Fuzzy Systems and Control (JFSC)
Joko Slamet Saputro
Departement Of Electrical Engineering, Faculty Of Engineering, Universitas Sebelas Maret
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture 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 Mathematics Mechanical Engineering Social Sciences Other

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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.
Adaptive Fuzzy-PI for Induction Motor Speed Control Maghfiroh, Hari; Slamet Saputro , Joko; Fahmizal, Fahmizal; Ahmad Baballe , Muhammad
Journal of Fuzzy Systems and Control Vol. 1 No. 1 (2023): Vol. 1, No. 1, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i1.24

Abstract

An induction motor (IM) is one type of AC motor which widely used. IM is chosen due to its simplicity, reliability, efficiency, and low cost. There are many methods proposed to control the speed of IM which is known as variable speed drive (VFD). In this study, the DTC method is used since it is more robust to the parameter’s changes. The combination of the Fuzzy and PI method is used in speed control. PID performances decrease when the system condition changes. Therefore, fuzzy is used as an adaptive algorithm to vary the PID gain. It was superior in terms of settling time, overshoot/ undershoot, and IAE compared to the PI method. It has lower IAE in both speed tracking and loaded conditions by 44.98% and 4.47%, respectively.
PEMBUATAN MODUL KIT KONVERSI KENDARAAN LISTRIK SEBAGAI SARANA PEMBELAJARAN VOKASI Mufti Reza Aulia Putra; Muhammad Nizam; Feri Adriyanto; Inayati; Warindi; Joko Slamet Saputro; Miftahul Anwar; Agus Ramelan; Hari Magfiroh; Chico Hermanu Brilianto Apribowo
SEMAR : Jurnal Sosial dan Pengabdian Masyarakat Vol. 3 No. 1 (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.v3i1.1134

Abstract

This study aims to develop an electric vehicle conversion kit module as a vocational learning tool at SMK Muhammadiyah 1 Surakarta. The research method used is Research and Development (R&D), which includes the design, production, and trial phases of the module. Evaluation was conducted through concept comprehension tests and practical skill assessments before and after using the module. The results indicate that the electric vehicle conversion kit module significantly enhances students' understanding and skills related to Electric Motorized Vehicles (KBL) technology. Furthermore, the study's findings were published in a national ISSN journal and mass media. As an additional output, a copyright for the module was obtained, demonstrating its innovative contribution to vocational education and electric vehicle technology.
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).
PENGENALAN TEKNOLOGI ENERGI TERBARUKAN PANEL SURYA UNTUK SISWA SEKOLAH MENENGAH PERTAMA (SMP) Maghfiroh, Hari; Adriyanto, Feri; Slamet Saputro, Joko; Sujono, Augustinus; Lambang GH, R.Lulus
INTEGRITAS : Jurnal Pengabdian Vol 6 No 2 (2022): AGUSTUS - DESEMBER
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v6i2.1527

Abstract

Saat ini listrik menjadi kebutuhan utama masyarakat. Pembangkit listrik di Indonesia sebagain besar bersumber dari energi batu bara yakni mencapai 57.2%. Batu bara sendiri merupakan sumber energi yang tidak bisa diperbaruhi. Selain itu, pembangkit listrik jenis ini menimbulkan pencemaran udara. Untuk itu, sumber pembangkit listrik alternatif yang ramah lingkungan dan dengan suplay yang melimpah sangat diperlukan. Salah satu sumber listrik alternatif yang paling mudah untuk dibangun dengan biaya rendah adalah sistem panel surya. Sistem panel surya sudah banyak diaplikasikan di Indonesia, bahkan sudah dibangun Pembangkit Listrik Tenaga Surya (PLTS). Beberapa tempat yang sudah terpasang sistem panel surya, pada akhirnya terbengkalai karena rusak dan masyarakat belum begitu faham sistem panel surya sehingga tidak bisa memperbaikinya. Untuk itu, sosialisasi tentang energi terbarukan ini penting untuk dilaksanakan. Pengenalan sumber energi terbarukan tenaga surya ini perlu dikenalkan lebih dini kepada siswa sekolah untuk meningkatkan minat dan rasa ingin tahu siswa dalam mempelajari, memanfaatkan, dan bahkan mengembangkan nantinya. Kegiatan dilakukan secara daring guna mematuhi protokol kesehatan covid-19. Media yang dipakai adalah grup whatsapp, video, dan e-booklet. Untuk mengukur keberhasilan program, sebelum acara dilakukan pre-test dengan hasil 22, 5% siswa tidak tahu tentang panel surya. Setalah sosialisasi post-test, hasilnya rata-rata nilai mencapai 79,46%, yang menunjukkan tingkat pamahaman peserta cukup baik terhadap materi yang disampaikan. Sampel pertanyaan mendasar tentang sistem panel surya, menunjukkan hanya 0,9% siswa yang salah. Kesimpulan akhir, siswa telah mendapat pengetahuan tentang energi terbarukan panel surya melalui kegiatan sosialisasi yang telah dilakukan.
Prototipe Sistem Peringatan Dini (EWS) Bendungan Berbasis Internet of Things (IoT) dengan Antarmuka Web dan Aplikasi Mobile Saputro, Joko Slamet; Latifa, Ulinnuha
Jurnal Otomasi Kontrol dan Instrumentasi Vol 14 No 1 (2022): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2022.14.1.4

Abstract

Teknologi IoT merupakan sebuah konsep yang bertujuan untuk mempermudah akses data menggunakan konektivitas internet. Pada penelitian ini IoT digunakan sebagai sistem monitoring dan peringatan dini secara realtime pada bendungan dengan prototipe berdasarkan Bendungan Walahar, Kabupaten Karawang. Platform thinkspeak digunakan sebagai web server pengolah data. Sistem monitoring ini menggunakan interface app Virtuno, web thinkspeak, twitter dan sms, sementara monitoring secara langsung menggunakan LCD. Pada proses pengambilan data dilakukan percobaan sebanyak 10-30 kali dengan pembacaan sensor menghasilkan prosentase eror 0% dengan time delay 0-30 detik.
Co-Authors Adriyanto, Feri Agus Ramelan Agus Ramelan Agus Ramelan Agus Ramelan Agus Ramelan Agus Ramelan Ahmad Baballe , Muhammad Alfian Ma’arif Anggrellangi, Arsy Anwar, Miftahul Arsy Anggrellangi Arthur Joshua Titus Asno Azzawagama Firdaus Augustinus Sujono Augustinus Sujono Augustinus Sujono Augustinus Sujono Augustinus Sujono Augustinus Sujono Berlian Shanaza Andiany Brilianto Apribowo, Chico Hermanu Cahyaningrum, Sakira Elen Chico Hermanu Chico Hermanu Brilianto Apribowo Esa Apriaskar Fadjri Kirana Anggarani Fahmi Syuhada Fahmizal, Fahmizal Faishol, Fahmi Feri Adriyanto Feri Adriyanto Feri Adriyanto Feri Adriyanto Feri Adriyanto Feri Adriyanto Feri Adriyanto Firmansyah, Rendra Dwi Hari Magfiroh Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Hari Maghfiroh Henry Probo Santoso Ibrahim, Sutrisno Inayati Inayati Inayati IRSYADI, FAKIH Juliatama, Hanif Wisti Lambang GH, R.Lulus Latifa, Ulinnuha Latifan, Syaifullah Filard Magfiroh, Hari Maghfiroh, Hari Meiyanto Eko Sulistyo Miftahul Anwar Miftahul Anwar Mufti Reza Aulia Putra Muhammad Hamka Ibrahim Muhammad Nizam Muhammad Nizam Muhammad Nizam Muhammad Renaldy Darmawan Nada Syadza Azizah Novitasari, Purwati Eka Putri, Tri Wahyu Oktaviana R Lulus Lambang GH Rahmat Setiadi, Bayu Ramelan, Agus Saadilah Rosyadi Subuh Pramono Sujono, Augustinus Supriyanto Praptodiyono Syuhada, Fahmi Ulinnuha Latifa Ulinnuha Latifa Warindi Warindi D Yusuf, Putra Maulana