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All Journal Jurnal Penelitian Rumpun Ilmu Teknik KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Amin Suyitno
Universitas Buddhi Dharma
Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice

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Peningkatan Kreativitas Siswa Bidang Teknologi dan Otomasi melalui Pelatihan Arduino Junaidi Akbar; Amin Suyitno; Abidin Abidin; Dwi Mahadiyan Widya H
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 4 No. 1 (2024): Maret : Jurnal Pengabdian Masyarakat Nusantara
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v4i1.2879

Abstract

Increasing student creativity the field technology and automation is very important in facing rapid development of technology. Training using Arduino as a tool learning that can be used as one of the effective methods increase student creativity. This training aims assess the impact Arduino training increasing student creativity the field of technology and automation. The community service team provides training on data communication systems utilizing Bluetooth HC-05 connection control an LED output via cellphone. The method used is providing a teaching module that is disassembled, direct practice on hardware and software by following the instruction manual using the teaching module. The results of training questionnaire instrument given participants in terms of understanding material instructions with C Compiler program 63.82% very satisfied, 25.53% satisfied and 10.63% quite satisfied. In terms of training facilities 80.85% very satisfied, 14.89% satisfied and 4.25% quite satisfied. In terms of increasing competence the world of automation 85.1% very satisfied, 2.12% satisfied and 12.76% quite satisfied. In terms of professional exposure or presentation material and media 74.46% very satisfied, 17.02% satisfied and 8.51% quite satisfied which was attended by 47 participants. This training shows the enthusiasm participants in recognizing technology and automation
Desain Buck-Boost Converter MPPT Berbasis Feedforward Neural Network (ANN) pada Sistem Photovoltaic Dwi Wahyu Irawan; Junaidi Akbar; Amin Suyitno; Ramona Dyah Safitri
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 4 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i4.7109

Abstract

The development of renewable energy technology has encouraged the utilization of photovoltaic (PV) systems as an alternative energy source. However, variations in irradiance and temperature cause changes in PV output power, making it difficult to maintain the Maximum Power Point (MPP). This study aims to design and analyze a Maximum Power Point Tracking (MPPT) system based on an Artificial Neural Network (ANN) integrated with a buck-boost converter for a PV system. The system was simulated using MATLAB/Simulink with a 100 Wp PV module and a Feedforward Neural Network (FNN) trained using the Levenberg–Marquardt (LM) algorithm. The FNN uses irradiance and temperature as inputs and generates the duty cycle as the converter control output. Testing was conducted under 16 conditions with irradiance levels of 300–1000 W/m² and temperatures of 25–40°C. The training results achieved a correlation coefficient of 0.92, with a duty cycle ranging from 0.40 to 0.45. The highest PV power was 99.84 W at 1000 W/m² and 25°C, with an output power of 92.85 W and an efficiency of 93.00%. The results demonstrate that the FNN-based MPPT system can adjust the duty cycle according to changes in PV conditions.
Co-Authors Abidin Abidin Akbar, Junaidi Dwi Mahadiyan Widya H Dwi Wahyu Irawan Ramona Safitri, Ramona