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All Journal Journal of Aceh Physics Society Maqrizi : Journal of Economics and Islamic Economics Jurnal Natural
Muhammad Ikhwan
1Department Of Mathematics, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Immunology & microbiology Neuroscience Physics Social Sciences

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Optimal tracking control in photovoltaic using linear quadratic tracking Mohd Iqbal Muttaqin; Said Munzir; Marwan Ramli; Muhammad Ikhwan
Journal of Aceh Physics Society Volume 11, Number 1, January 2022
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v11i1.20381

Abstract

Abstrak. Penelitian ini membahas tentang masalah penjejak pasif photovoltaic terhadap posisi matahari secara optimal. Penjejak pasif digunakan ketika penjejak aktif tidak berfungsi. Penjejak pasif menggunakan perhitungan matematika yang rumit untuk penerapannya. Metode yang digunakan pada penelitian ini adalah linear quadratic tracking. Linear quadratic tracking merupakan metode analitik yang mengkonstruksi sistem persamaan secara kontrol optimal. Penjejakan oleh linear quadratic tracking menghasilkan risetime, mencapai settling time, dan perhitungan error dari Mean absolute error (MAE). Artinya, metode linear quadratic tracking yang diterapkan pada PV dapat menjejak cahaya matahari secara pasif dengan sangat cepat dan akurat. Simulasi yang dilakukan terhadap massa panel surya yang bervariasi ternyata dapat mempengaruhi tegangan, arus listrik, dan kecepatan sudut dari PV. Semakin meningkat massa dari panel surya mengakibatkan tegangan dan arus listrik juga meningkat dan respon kecepatan sudut mencapai posisi referensi cenderung lama.  Abstract. This research discusses the problem of optimal passive photovoltaic tracking trajectory of the sun. The passive tracker is used when the active tracker does not work. The passive tracker uses complex mathematical calculations to implement it. The method used in this research is linear quadratic tracking. Linear quadratic tracking is an analytical method that constructs an optimal control system of equations. Tracing by linear quadratic produces rise time, reaches settling time, and error (MAE). This means that the linear quadratic tracking method for PV can track the sun trajectory very quickly and the level of accuracy is very accurate. Simulations carried out on various masses turned out to be able to affect the voltage, electric current, and angular velocity of the PV. The increasing mass of the solar panels results in increased voltage and electric current and the angular velocity response reaching the reference position tends to be longer.
Time Series Data Analysis in Forecasting Educated Unemployment Rate in Aceh Province Winny Dian Safitri; Muhammad Ikhwan; Nadlia Ariyati; Rajul Hakim
Maqrizi: Journal of Economics and Islamic Economics Vol 2 No 2 (2022): MAQRIZI: JOURNAL OF ECONOMICS AND ISLAMIC ECONOMICS
Publisher : Program Studi Ekonomi Syariah, Fakultas Ekonomi dan Bisnis Islam Institut Agama Islam Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1271.583 KB) | DOI: 10.30984/maqrizi.v2i2.268

Abstract

Educated unemployment is the most important problem that must be solved by the government. Studies related to unemployment are very interesting to study. This study examines the relationship between educated unemployment in Aceh Province. The purpose of this study is to examine the modeling of educated unemployment in Aceh Province using secondary data. Forecasting was carried out to predict unemployment in Aceh Province in the period until 2030. The results of this study show that Aceh's educated unemployment rate continues to increase. The recommendations of this study are expected by the government to make improvements in various development sectors, especially programs that rely on improving human resources in order to change the labor recruitment system in Aceh Province to avoid a decrease in the unemployment rate in Aceh Province.
SISTEM KENDALI PROPORSIONAL, INTEGRAL, DAN DERIVATIF (PID) PADA PERSAMAAN PANAS Muhammad Ikhwan; Said Munzir; Nurmaulidar Nurmaulidar
Jurnal Natural Volume 16, Number 2, September 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.259 KB) | DOI: 10.24815/jn.v16i2.4918

Abstract

This research showed the application of Proportional, Integral, and Derivative (PID) control system on heat equations that has non-integer ordered solutions on Laplace domain. Zala tuning method and Ziegler-Nichols method; which is ultimate cycle and process reaction method, are used to determine the value of Kp, Ti and Td as constants in PID to maintain the temperature of 1oC on the position of x = 3 m from the heat source with k = 0,042 m2s-1 diffusivity. Based on the results, there were ten systems that were closest in the desired criteria. With regards to overshoot and the time taken to reach the stable position, therefore the ten systems that are produced have not many differences in strengths and weaknesses. 
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1290.897 KB) | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
SISTEM KENDALI PROPORSIONAL, INTEGRAL, DAN DERIVATIF (PID) PADA PERSAMAAN PANAS Muhammad Ikhwan; Said Munzir; Nurmaulidar Nurmaulidar
Jurnal Natural Volume 16, Number 2, September 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v16i2.4918

Abstract

This research showed the application of Proportional, Integral, and Derivative (PID) control system on heat equations that has non-integer ordered solutions on Laplace domain. Zala tuning method and Ziegler-Nichols method; which is ultimate cycle and process reaction method, are used to determine the value of Kp, Ti and Td as constants in PID to maintain the temperature of 1oC on the position of x = 3 m from the heat source with k = 0,042 m2s-1 diffusivity. Based on the results, there were ten systems that were closest in the desired criteria. With regards to overshoot and the time taken to reach the stable position, therefore the ten systems that are produced have not many differences in strengths and weaknesses. 
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
Co-Authors Mardlijah - Marwan Ramli Mohd Iqbal Muttaqin Nadlia Ariyati Nurmaulidar Nurmaulidar Rajul Hakim Said Munzir Said Munzir Winny Dian Safitri