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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Edukasi Elektro JPTK: Jurnal Pendidikan Teknologi dan Kejuruan INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni INVOTEC Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Engineering and Applied Technology Journal of Renewable Energy, Electrical, and Computer Engineering Journal of Community Empowerment SNTE
Rustam Asnawi
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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Skillion Roof Design to Get Optimum Solar Radiation in Yogyakarta Putra, Yudi Utomo; Asnawi, Rustam; Wardhany, Arum Kusuma
Jurnal Edukasi Elektro Vol. 7 No. 2 (2023): Jurnal Edukasi Elektro, Volume 7, Nomor 2, 2023
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v7i2.65953

Abstract

Electrical energy is energy that cannot be released from daily activities at home, all elec-tronic equipment requires electrical energy, one source of electrical energy is the electrici-ty company PT. PLN (Persero) and as an alternative source of electrical energy, a home can use solar panels installed on the roof as a small scale power generator or can be called Solar Home System (SHS), but electrical energy obtained is very dependent on the radia-tion received by the solar panels, therefore, to obtain optimum solar radiation, it is neces-sary to calculate the azimuth angle and tilt angle which can be used as a reference for in-stalling solar panels. So mathematical calculations are needed to calculate the maximum azimuth angle and tilt angle. Mathematical modeling is used to calculate solar energy in-stalled at coordinates 7.7° south latitude, in that coordinate, average solar radiation can get from Meteorological, Climatological, and Geophysical Agency on horizontal surface, then calculation the declination angle, latitude angle, hour angle, azimuth angle and tilt angle to get value of incidence angle. Value of the declination angle, latitude angle, and hour angle are constant, while the azimuth angles divide into four directions, it's 0°, 90°, 180°, and 270° and the tilt angles are 20°, 25°, and 30° on skillion roof design. The results of the calculation and analysis of the movement of the sun for one year show that, by calculating the average solar radiation in a year, the roof of the house in the form of a skillion with an azimuth angle in the 0° gets the most optimal solar energy at an angle of 20° with an aver-age solar radiation of 442,96 W/m2 in one year.
PENGEMBANGAN UNIT PENSUPLAI DAYA BERTENAGA SURYA UNTUK POMPA AIR KELOMPOK TERNAK SAPI DI DAERAH PEDESAAN Asnawi, Rustam; Yuniarti, Nurhening; Winarto, Felixtianus Eko Wismo
INOTEKS: Jurnal Inovasi Ilmu Pengetahuan,Teknologi, dan Seni Vol 21, No 2 (2017)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.593 KB) | DOI: 10.21831/ino.v21i2.19227

Abstract

In farming, clean water is a basic need to wash food, drink, bathe and clean the cow shed. Provision of clean water is by means of an electric water pump. Meanwhile, electricity prices tend to rise gradually, consequently monthly the electricity bill for farming needs rise. Another thing, the power outage in the countryside sometimes happens in a long duration. The stability of clean water availability at the location of livestock groups is disrupted. One of the best solution approaches to overcome these problems is to create and develop applied products related to renewable energy and energy independence, namely solar power supply unit. This power supply unit uses 2 150WP 12 Volt solar panels, 2 solar charge controllers, 3100Ah batteries and a DC to AC 1500W inverter. The result of the development of this solar powered power supply unit is about 300 Watt. Its main function is to turn on the water pump during the day and in addition it is able to turn on the led light for street lighting at night. Based on the observations, this unit has been operating well and effectively for about 1 month and successfully assisted members of the cow farm groups in the provision of clean water 
UNJUK KERJA MODUL WIRELESS SENSOR NETWORK BERBASIS LORA RFM95W SEBAGAI MEDIA PEMBELAJARAN MATA KULIAH KENDALI DAN AKUISISI DATA Asnawi, Rustam; Pramono, Herlambang Sigit; Sukir, Sukir; Maarif, Syamsul; Hidayatullah, Ismail Raihan
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengembangkan dan mengetahui unjuk kerja modul wireless sensor network berbasis Lora RFM95W. Pengembangan media pembelajaran menggunakan metode research and development dengan model pengembangan ADDIE dari Robert Branch. Penelitian ini dilaksanakan di Departemen Pendidikan Teknik Elektro dengan subyek penelitian adalah ahli materi, ahli media, dan mahasiswa. Instumen penelitian yang digunakan adalah angket dengan skala likert empat pilihan. Analisis data dilakukan menggunakan analisis deskriptif, uji reliabilitas untuk instrumen pengguna menggunakan rumus alpha cronbach. Hasil produk penelitian dan pengembangan adalah: Modul Wireless Sensor Network berbasis Lora RFM95W, buku panduan, dan labsheet praktikum. Komponen yang digunakan pada modul antara lain NodeMCU V3, Lora RFM95W, Antena SMA MALE 915 Mhz, sensor, dan aktuator. Unjuk kerja jarak komunikasi antar modul mencapai 648 meter, alur komunikasi bintang dan alur komunikasi serial dapat bekerja dengan baik.
Optimization techniques for siting solar-powered EV charging stations: A systematic review and methodological classification Linda Faridah; Rustam Asnawi; Handaru Jati; Nurwijayanti Kusuma
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1355-1368

Abstract

Solar-powered electric vehicle (EV) charging stations are essential in advancing low-carbon transportation. However, determining optimal locations remains challenging due to spatial, technical, and environmental constraints. This systematic review, conducted under the PRISMA 2020 framework, synthesizes optimization techniques for siting solar-powered EV charging stations from 15 peer-reviewed studies published between 2016 and 2024. The reviewed methods are classified into five major categories: geographic information systems (GIS)-based spatial models, multi-criteria decision-making (MCDM) frameworks, hybrid approaches integrating fuzzy logic and GIS, heuristic/metaheuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO), and artificial-intelligence-based models for predictive site selection. GIS-MCDM hybrid approaches were the most prevalent, offering improved robustness in spatial decision-making. Nevertheless, the literature reveals persistent gaps, including limited empirical validation, insufficient use of real-time data, and weak integration with smart-grid planning. This review provides a structured methodological classification, highlights sustainability considerations, and outlines a research roadmap toward intelligent, data-driven, and sustainable EV infrastructure planning aligned with global energy-transition goals.
Development of an ESP32-Based Internet of Things Trainer for Sensor and Transducer Learning in Electrical Engineering Education Alfian Yudisurya; Rustam Asnawi; Deny Budi Hertanto
Jurnal Edukasi Elektro Vol. 10 No. 1 (2026): Jurnal Edukasi Elektro Volume 10, No. 1, May 2026
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v10i1.96831

Abstract

Low student motivation and the absence of integrated IoT-based learning media in the Sensor and Transducer Practicum course represent a critical gap that limits students' ability to connect theoretical concepts with industrial practice. This study aimed to realize an ESP32-based IoT Trainer, evaluate its technical performance, and assess its feasibility as a learning medium. The Research and Development method with the ADDIE model was employed. The developed product consists of an integrated trainer unit with nine sensors, a learning module, and jobsheet. Testing involved two content experts, two media experts, and 30 students using a 5-point Likert scale instrument. All trainer components functioned stably across all test conditions. Validation results showed 92.5% feasibility from content experts, 93.75% from media experts, and 90.5% from users, with an overall average of 92.25%, all categorized as "Very Feasible." These findings indicate that the trainer effectively enhances students' hands-on engagement with IoT-integrated sensor systems, bridging the gap between classroom theory and real-world industrial competencies.
Green Technology in Unmanned Aerial Vehicle (UAV) Electric Propulsion System: A Review Erwan Eko Prasetiyo; Rustam Asnawi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.16726

Abstract

The use of fossil energy and coal has a significant impact on global warming through increased greenhouse gas emissions, particularly carbon dioxide (CO2). To address this issue, green technologies offer sustainable solutions, including the development of electric propulsion systems on unmanned aircraft (UAVs). Electric propulsion uses clean energy sources such as batteries and hydrogen fuel cells, significantly reducing emissions and air pollution. This research explores the importance of applying green technologies in the optimization of electric propulsion on UAVs, and the resulting environmental and economic benefits. Electric propulsion technology not only reduces carbon footprint and air pollution, but also improves energy efficiency and extends the operational life of UAVs. In addition, it allows UAVs to operate more quietly, reduces noise pollution, and can be used in various sensitive environments. The implementation of green technologies in UAV electric propulsion systems faces challenges such as limited battery capacity and recharging infrastructure. However, with collaboration between industry, government and research institutions, as well as regulatory support and incentives, the development of these technologies can be accelerated to achieve more environmentally friendly and sustainable UAV operations. Through the application of electric propulsion technology, UAVs are expected to provide innovative and sustainable solutions in areas such as aerial surveying, security surveillance, and freight forwarding, while making a positive impact on the environment and sustainability of the global ecosystem.
Optimization of hybrid GA-PSO-based energy management with Six Sigma penalty in buildings K. N. Nurwijayanti; Rustam Asnawi; Handaru Jati; Linda Faridah; Effendi Dodi Arisandi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp2259-2270

Abstract

This study proposes the optimization of a hybrid genetic algorithm-particle swarm optimization (GA-PSO) building energy management combined with Six Sigma for quality control. The main problems include high energy consumption, large carbon emissions, and performance variability. Six Sigma is applied through control limits (UCL/LCL) and process capability index (Cpk) so that the solution is not only efficient but also stable. Using 30 days of operational data, the model evaluates daily energy consumption (kWh) and carbon emissions, then compares the baseline with pure GA, pure PSO, and GA-PSO+Six Sigma. The results show that GA-PSO reduces average energy consumption by 5.1% compared to GA and 3.5% compared to PSO. When combined with Six Sigma, the savings increased to 7.5% compared to GA and 6.6% compared to PSO, while reducing carbon emissions without compromising operational comfort. These findings present a measurable, sustainable, low-carbon building energy management model that is aligned with the decarbonization framework and ISO 50001 best practices.
Co-Authors Ahmad Hoirul Alfian Yudisurya Amaria, Marshanda Alfa Arum Kusuma Wardhany Azizah, Safira Rusyda Deny Budi Hertanto Deny Budi Hertanto Djoko Laras Budiyo Taruno Dwi Feriyanto Dwi Otik Kurniawati Effendi Dodi Arisandi Erwan Eko Prasetiyo Fanani Arief Ghozali Fanani Arief Ghozali Faranita Surwi Faridah, Linda Felixtianus Eko Wismo Winarto Handaru Jati Hanif, Naufal Muhammad Herlambang Sigit Pramono Hidayatullah, Ismail Raihan I Djatmiko, I Indriya Galih Prayogi K. N. Nurwijayanti Ketut Widya Kayohana M. Syamsul Maarif Mauludin, Moch Subchan Mentari P Jati Mochamad Syamsiro Moh. Khairudin Muchlas Muchlas Nugraha, Ariadie Chandra Nurhening Yuniarti Nurwijayanti Kusumaningrum Putra, Yudi Utomo Rio Tirto Sudarma Satria Pinandita Singgih Dwi Prasetyo Slamet Widodo Sri Safiatuddin Sukir Sukir Trisnoaji, Yuki Wiraguna, Rayie Tariaranie