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All Journal DINAMIKA Jurnal Ilmiah Teknik Mesin Jurnal Rekayasa Mesin JIEET (Journal of Information Engineering and Educational Technology) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Journal of Energy and Electrical Engineering (JEEE) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Journal La Multiapp JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Journal of Religious and Socio-Cultural Jurnal Polimesin The Indonesian Journal of Computer Science
Purnomo, Wahyudi
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Tracking solar panel maximum power point using IoT-based mamdani fuzzy logic control Nuryanti, Nuryanti; Erdani, Yuliadi; Subekti, Ruminto; Purnomo, Wahyudi; Indrajaya, Nathan; Badia, Bahdin Ahad
Jurnal Polimesin Vol 23, No 5 (2025): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i5.7709

Abstract

Renewable energy is an important solution to overcome the limitations of conventional non-renewable energy. The role and breakthroughs in using renewable energy are one of the research priorities that need to be developed and get more attention. Solar panels are one of the technologies in utilizing this energy source. However, with all the benefits of solar panels, the biggest challenge currently faced is the energy conversion system which still experiences fluctuations in output power due to unpredictable changes in solar irradiance, especially when covered by clouds. To overcome this problem, an effective Maximum Power Point Tracker (MPPT) system is needed. MPPT has feature limitations based on price, this is what drives the creation of an MPPT that is easy to develop. This study proposes the use of fuzzy logic methods in MPPT to determine the maximum point that needs to be achieved by solar panels. This study applies the INA226 sensor which is used to take data from solar panels, which is then processed into input to control MPPT by considering fuzzy conditions to maintain optimal power output. This research produces the final result in the form of a constant voltage required by the battery to fulfill the core function of SCC where the output is optimal through adjustment of the work cycle, so this research is expected to make data on solar panels easy to obtain and analyze with MPPT which can be developed in the future. The research can be considered as novel due to the implementation of fuzzy logic to determine control parameters
Co-Authors Akimas, Handreas Sudarmiko Alfaizi, Muhammad Firdaus Andriyanto, Yoseph Arrizik, Muhammad Zidan Dwiartomo, Bolo Fitria Suryatini Gamanoza, Naufal hadiani, dini Hendy Rudiansyah Indrajaya, Nathan Muhammad Fikri Nuryanti Nuryanti R. Harlanti, Raiany Ramadan, Yoni Sabda Ridwan, Ridwan Ruswandi, Ayi Sandy Bhawana Mulia, Sandy Bhawana Steven Phang SUBEKTI, RUMINTO tanasyah, yusak Tryantama, Naufal Wahyu Adhie Candra Yuliadi Erdani, Yuliadi