Article Per Year (5 Year)
p-Index From 2020 - 2025
1.857
P-Index
This Author published in this journals
All Journal Wahana Akademika: Jurnal Studi Islam dan Sosial Nady al-Adab Jurnal Kesehatan Madani Medika Wahana Akademika: Jurnal Studi Islam dan Sosial Awwaliyah Jurnal Pengabdian Masyarakat Abdimas Madani Jurnal Rekayasa elektrika Journal of English Language and Pedagogy
Muhammad Nur Hasan
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Rekayasa elektrika

 1 
Analisis Kinerja Penggabungan Logika Fuzzy dan PID pada Penjejak Matahari Dua Sumbu Muhammad Nur Hasan; Yuwaldi Away; Suriadi Suriadi; Andri Novandri
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1392.774 KB) | DOI: 10.17529/jre.v19i1.15128

Abstract

Utilization of renewable energy from solar panel systems is increasingly being applied, but until now its utilization has not been maximized. The movement of the sun caused by rotation of the earth and cloudy condition should be taken into account to maximize the electrical energy in solar panels. In this study, a concept to calculate the movement of a two-axis sun tracker is proposed by using a combination of two controller methods, i.e. Proportional Integral Derivative (PID) and Fuzzy logic known as Fuzzy-PID (F-PID). To follow the movement of the sun, the LDR sensor is used as an input to light as well as output used to drive 2 units servo for x-axis and y-axis. Sun tracker that is used is based on tetrahedron geometry and uses three Light Dependent Resistor (LDR) sensors as input. Input and output components are connected to the Atmega 328P by using a combination of Fuzzy logic and PID programs (F-PID). Fuzzy logic programming is first performed on the Matlab application using Fuzzy Inference System (FIS), then converted into an Arduino-based programming language. The sun tracker movement and the voltage received by the solar panel will be stored into the SD card using a data logging module. Adjusting the sun tracker movement using the combined Fuzzy logic and PID method intends to maximize the electrical energy received by the solar panel. The results showed that the F-PID method obtained the maximum voltage of 5.3 V, a maximum current of 0.11 A, and a maximum power of 0.61 W.
Analisis Kinerja Penggabungan Logika Fuzzy dan PID pada Penjejak Matahari Dua Sumbu Muhammad Nur Hasan; Yuwaldi Away; Suriadi Suriadi; Andri Novandri
Jurnal Rekayasa Elektrika Vol 19, No 1 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v19i1.15128

Abstract

Utilization of renewable energy from solar panel systems is increasingly being applied, but until now its utilization has not been maximized. The movement of the sun caused by rotation of the earth and cloudy condition should be taken into account to maximize the electrical energy in solar panels. In this study, a concept to calculate the movement of a two-axis sun tracker is proposed by using a combination of two controller methods, i.e. Proportional Integral Derivative (PID) and Fuzzy logic known as Fuzzy-PID (F-PID). To follow the movement of the sun, the LDR sensor is used as an input to light as well as output used to drive 2 units servo for x-axis and y-axis. Sun tracker that is used is based on tetrahedron geometry and uses three Light Dependent Resistor (LDR) sensors as input. Input and output components are connected to the Atmega 328P by using a combination of Fuzzy logic and PID programs (F-PID). Fuzzy logic programming is first performed on the Matlab application using Fuzzy Inference System (FIS), then converted into an Arduino-based programming language. The sun tracker movement and the voltage received by the solar panel will be stored into the SD card using a data logging module. Adjusting the sun tracker movement using the combined Fuzzy logic and PID method intends to maximize the electrical energy received by the solar panel. The results showed that the F-PID method obtained the maximum voltage of 5.3 V, a maximum current of 0.11 A, and a maximum power of 0.61 W.
Co-Authors Ahmad Miftah Haris Aisyahtun Nuroniyyah Aisyahtun Nuroniyyah Anggraini, Uci Julia Anis Silwatud Diyana Arif Tirtana Ery Fatmawati Ignasia Nila Siwi Jayyid Jihad Asfi Mashabi Khoiroh Ummu Rodhiyah Lili Awaludin Muliawati, Dyah Nining Sulistyawati Novandri, Andri Qolbi, Nuraini Qolbi Karimah Ragita Melin Ramadhini Rif’atul Husnah Salsabila Anjas Parastuti Suriadi Suriadi Tri Hardi MU Widyaningrum, Rahmah Yuwaldi Away