Forecasting Joule Thief Efficiency Using Fuzzy Logic Method
Article Sidebar
Main Article Content
Abstract
The electrical device is initially require energy to operate now gradually began to change with a device that could save electricity and more environmentally friendly,Eifisien is the ratio between the input (input) and output (between benefit with the resources used. Joule Thief has the potential to become an innovation because it is able to generate electrical energy through the development of electrical components that generate electromagnetic fields in coils or coils. Where in this analysis using using fuzzy logic to analyze the efficiency of Joule Thief. Of testing and research that has been downLighted lamps old forecasting for the Joule Thief circuit on the primary winding 10 and secondary winding 17 obtained the value of the average percentage error 0.2994, Then on the primary winding and the secondary winding 5 7 Average values obtained percentage error 0434 as well as on the primary winding 5 and the secondary winding 20 obtained average value percentage error 0.8711, Based on these data also concluded that the Joule Thief with the primary winding 10 and secondary winding 17 is the most efficient because it has an average percentage of a small error is 0.2994.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
R. Amshari, “Rancang Bangun Sistem Real Time Watermeter Berbasis Internet of Things (Iot),” Bandung, vol. 1, no. 1, pp. 1–46, 2020, [Online]. Available: http://journals.sagepub.com/doi/10.1177/1120700020921110%0Ahttps://doi.org/10.1016/j.reuma.2018.06.001%0Ahttps://doi.org/10.1016/j.arth.2018.03.044%0Ahttps://reader.elsevier.com/reader/sd/pii/S1063458420300078?token=C039B8B13922A2079230DC9AF11A333E295FCD8
Y. M. Djaksana, “Perancangan Sistem Monitoring Dan Kontroling,” vol. 2, no. 3, pp. 13–24, 2020.
S. LaMonaca and L. Ryan, “The state of play in electric vehicle charging services – A review of infrastructure provision, players, and policies,” Renew. Sustain. Energy Rev., vol. 154, no. September 2021, p. 111733, 2022, doi: 10.1016/j.rser.2021.111733.
Y. F. Nassar and A. A. A. Hafez, “Solar Energy Charging Systems/Techniques of Electric Vehicle: A Comprehensive Review,” no. July, 2024.
J. Jamaaluddin et al., “Heat Transfer Management of Solar Power Plant for Dryer,” Int. J. Eng. Appl., vol. 12, no. 3, pp. 195–203, 2024, doi: 10.15866/irea.v12i3.23959.
H. R. Iskandar, C. B. Elysees, and R. Ridwanulloh, “Analisis Performa Baterai Jenis Valve Regulated Lead Acid pada PLTS Off-grid 1 kWp,” J. Teknol. Univ. Muhammadiyah Jakarta, vol. 13, no. 2, pp. 129–140, 2021, [Online]. Available: https://jurnal.umj.ac.id/index.php/jurtek/article/view/7624
S. Saodah, I. M. W. Kastawan, E. Yusuf, B. P. Manunggal, and M. Maryanti, “Simulation of Effects of Using Capacitor for Reactive Power (VAR) Compensation on Electrical Power Supply Quality,” Proc. 5th FIRST T1 T2 2021 Int. Conf. (FIRST-T1-T2 2021), vol. 9, pp. 168–174, 2022, doi: 10.2991/ahe.k.220205.029.
S. Hardi, M. Rahmat, and E. P. Sinulingga, “Improved Quality of using Voltage Static Var Compensator and Capacitor Bank on the Transmission Line,” J. Phys. Conf. Ser., 2021, doi: 10.1088/1742-6596/1811/1/012066.
A. J. Watkins, “Power factor improvement,” Electrical Installation Calculations: Advanced. pp. 70–75, 2020. doi: 10.4324/9780080953946-12.
N. M. Karmiathi and I. K. A. Putra, “Technical analysis of power factor improvement using ETAP 12.6 at Regent Resort & Holiday Inn Canggu,” Matrix J. Manaj. Teknol. dan Inform., vol. 12, no. 1, pp. 38–50, 2022, doi: 10.31940/matrix.v12i1.38-50.
M. Y. Rofandy and A. Hasibuan, “Analysis of the Effect of Bank Capactor Placement As,” vol. 02, no. 01, 2022.
Lisiani, A. Razikin, and Syaifurrahman, “Identifikasi dan Analisis Jenis Beban Listrik Rumah Tangga Terhadap Faktor Daya ( Cos Phi ),” J. Untan, vol. 1, no. 3, pp. 1–9, 2020.
Jamaaluddin, I. Robandi, and I. Anshory, “A very short-term load forecasting in time of peak loads using interval type-2 fuzzy inference system: A case study on java bali electrical system,” J. Eng. Sci. Technol., vol. 14, no. 1, pp. 464–478, 2019, [Online]. Available: http://jestec.taylors.edu.my/Vol 14 issue 1 February 2019/14_1_31.pdf
J. Jamaaluddin, I. Anshory, A. Akbar, Khoiri, Mardiyono, and A. Fudholi, “Analysis of the Use of Digital Ultrasonic Based on Fuzzy Inference System to Get More Precise Water Discharge Measurement Results,” Int. Rev. Model. Simulations, vol. 16, no. 6, pp. 396–404, 2023, doi: 10.15866/iremos.v16i6.24023.
S. Hernada, O.E., Sumarno, Jamaaluddin, J., “Enhancing design and print services: A web-based ordering system for indesign digital printing storeNo Title,” AIP Conf. Proc., vol. 1, no. 1, 2024, doi: 10.1063/5.0219709.
Jamaaluddin Jamaaluddin, Putra, Boy Isma and S. Agus Hayatal, “TRAINER SMART PLTS UNTUK PEMBELAJARAN SISTEM PLTS PADA SISWA SMK MUHAMMADIYAH 3 NGORO,” MARTABE J. Pengabdi. Masy., vol. 7, pp. 3552–3559, 2024, doi: 10.31604/jpm.v7i9.3552-3559.
Jamaaluddin, I. Robandi, I. Anshory, Mahfudz, and R. Rahim, “Application of interval type-2 fuzzy inference system and big bang big crunch algorithm in short term load forecasting new year holiday,” J. Adv. Res. Dyn. Control Syst., 2020, doi: 10.5373/JARDCS/V12I2/S202010024.