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All Journal HEURISTIC Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal JEETech: Journal Of Electrical Engineering And Technology Journal of Railway Transportation and Technology
Hermawan, Indra Budi
Universitas 17 Agustus 1945 Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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RANCANGBANGUN DATA LOGGER TENAGA LISTRIK PADA PANEL SURYA Hermawan, Indra Budi
Heuristic Vol 13 No 01 (2016)
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/he.v13i01.873

Abstract

Penelitian ini bertujuan untuk merancang data logger, yaitu sebuah perangkat yang dapat mengukur, menghitung dan menyimpan data tenaga listrik yang dihasilkan oleh panel surya secara terus menerus dalam jangka waktu tertentu. Data diperoleh dari hasil pengukuran tegangan dan arus listrik pada panel surya. Tegangan dan arus  listrik ini ditangkap oleh sensor, kemudian diolah menggunakan microcontroller. Selanjutnya data disimpan dalam media penyimpan berupa SD/MMC card yang dapat diunduh dan dianalisa lebih lanjut menggunakan personal computer, sehingga dapat diketahui nilai energi listrik. Dari percobaan yang dilakukan, ternyata data logger dapat bekerja dengan cukup baik. Dari hasil pencatatan didapatkan bahwa nilai tegangan mempunyai penyimpangannya 4.49 %, sedang untuk nilai arus listrik penyimpangannya 2.45 %. Nilai tegangan yang didapatkan relatif besar bila dibandingkan dengan pengukuran dengan menggunakan peralatan ukur yang presisi, Besarnya kesalahan ini antara lain disebabkan penggunaan komponen resistor pembagi tegangan yang memiliki toleransi yang besar. Dengan menggunakan resistor metal film yang mempunyai toleransi lebih kecil, nilai tegangan yang didapatkan akan lebih presisi.Kata kunci : data logger, microcontroller, listrik tenaga surya
A Perbandingan Daya Listrik Panel Surya Menggunakan MPPT P&O terhadap MPPT Logika Fuzzy Indra Budi Hermawan; Annisa Harumwidiah
Jurnal JEETech Vol. 2 No. 1 (2021): Jurnal JEETech
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.243 KB) | DOI: 10.48056/jeetech.v2i1.148

Abstract

The electricity generated by solar panels up and down is influenced by weather, panel angle to the sun, ambient temperature and so on. When there is a change in the radiation level, the electric current generated by the solar panel also changes, causing a non-conformity with the load characteristics. This result in the electrical power generated by the solar panel is not optimal. Maximum Power Point Tracker (MPPT) can solve this problem by tracking the changes of electric current generated by the solar panel. The tracking apparatus is then connected to a control device and a DC / DC converter that converts and adjusts the optimum voltage and current according to the load. This study compares the amount of electricity generated by solar panels by using the Perturb and Observe (P & O) MPPT algorithm against the Fuzzy Logic Controller MPPT (FL). This research will be conducted on 100 Watt Solar Power Plant (PLTS) module by using Microcontroller ATMega318 as the controller. The results obtained are MPPT Fuzzy Logic Controller (FL) produce 5.61% more power than the Perturb and Observe (P&O) MPPT algorithm.
Designing a Smart Inverter for Voltage Sag Compensation Due to Motor Start-up Indra Budi Hermawan; Ashari Mochamad; Dedet Candra Riawan
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1744

Abstract

Starting a large induction motor will always follow up with an inrush current as the nature of an induction motor. On a less stiff power system, that inrush current will be causing a Voltage Sag (VS). A big VS can lead to significant disruptions in power quality and reliability. To address this, a Smart Inverter with an Artificial Intelligence (AI) -driven controller installed in a Photovoltaic (PV) farm is proposed for voltage sag recovery. During normal conditions, the PV farm acts as a power source supporting the main grid, but when large induction motors are started, the smart inverter connected to the PV is responsible for power conversion to recover sags caused by the Induction motor inrush current. The controller inside the Inverter ensures optimal operation. The use of AI also compares the effectiveness of using the Fuzzy Logic Controller (FLC) with the Proportional Integral (PI) Controller to assess their performance in reducing current spikes. Based on simulations, the FLC outperformed PI Controller in mitigating the voltage sag and avoiding the Low Voltage Ride-Through (LVRT). Simulation results show that voltage sag can be recovered for up to 97% of the nominal voltage, a significant improvement over the 80% sag recovery without the smart Inverter. At a nominal grid voltage of 6,600 volts, the VS Magnitude was successfully increased from 5,210 volts to 6,368 volts and the VS Duration also decreased from 6.96 s to 4.97 s. The results achieved validate the effectiveness of the approach in improving the power quality.
Axle Counter Grounding System on The PPI Madiun Railway Using the Wenner Method Sunardi; Akhwan; Adya Aghastya; Indra Budi Hermawan; Febry Pandu Wijaya; Daniar Fahmi
Journal of Railway Transportation and Technology Vol. 2 No. 2 (2023): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v2i2.26

Abstract

Axle counter is a railway detection equipment producing wave frequencies to count the number of axles passing over the track. The existence of a mismatch between the initial and final count numbers usually leads to a red signal and this can prevent the formation of a travel route. The components of axle counter are often damaged by lightning strikes both directly and through the distribution of excessive currents due to a poor grounding system. However, these excessive currents can be safely grounded without damaging the components through the application of a good grounding system. Therefore, this research aimed to plan an effective grounding system to anticipate the incidents using the Wenner method. Some requirements such as soil type, depth, and electrode rod diameter were used in the process to determine the appropriate resistance value. The design was made based on the simulations that closely resembled real field conditions using Aspix software and grounding resistance values were also measured directly on the field to determine the discrepancies between the planning and actual conditions.
Co-Authors Adya aghastya Akhwan Annisa Harumwidiah Daniar Fahmi, Daniar Dedet Candra Riawan Febry Pandu Wijaya Mochamad Ashari Sunardi