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All Journal SinarFe7 Nucleus Journal Elconika: Jurnal Teknik Elektro
Hidayatul Nurohmah
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Ant Colony Optimazation sebagai Tuning PID pada Single Axis Tracking Photovoltaic Wahyu Cahyono; Mahrus Ali; Hidayatul Nurohmah; Budiman
SinarFe7 Vol. 2 No. 1 (2019): Sinarfe7-2 2019
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ant Colony Optimization (ACO) adalah Kecerdasan Buatan sering digunakan agar diperoleh optimasi suatu sistem. Ant Colony Optimization, berasal dari kata ant: semut, colony: kompulan atau koloni, opimization: optimasi semut merupakan tergolong salah satu hewan yang pintar, mereka mampu mencapai makannanya dengan jalur yang terpendek dan tercepat. Perilaku semut adalah inspirasi untuk Algoritma Ant Colony Optimization ini. Salah satu penggunaan metide ini adalah untuk meningkatkan efisiensi kontrol pergerakan panel surya yaitu dengan menambahkan sistem kendali single axis tracking matahari. Sistem kendali tracking matahari adalah sistem kendali yang selalu mengikuti posisi matahari. Tujuan dari sistem tracking matahari ini adalah untuk menempatkan penampang agar selalu dalam posisi menghadap ke arah posisi sinar matahari. Tracking matahari jenis azimuth- elevation terdiri dari sumbu putar horisontal dan sumbu putar vertikal. Sistem kontrol perlu sekali untuk dioptimasi agar posisi tepat sesuai yang diinginkan. Penelitian ini nanti bisa dipakai sebagai acuan dan digunakan kontroler lain atau metode kecerdasan buatan lainnya agar diperoleh kontroler yang optimal.
Desain Baterai Lithium-Ion Pengaruh Iradian Dan Temperatur Menggunakan PV Syst and Meteonorm Software Izzatul Umami; Intan Sekar Novitasari; Hidayatul Nurohmah; Dwi Ajatmo; Ali, Machrus
Elconika: Jurnal Teknik Elektro Vol. 2 No. 2 (2024)
Publisher : Universitas Hasyim Asy`ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/elconika.v2i2.7680

Abstract

Indonesia is a country with significant potential for developing solar energy. However, one of the challenges in the electricity sector is the reliance on fossil fuels as the primary energy source. To mitigate the impact of this dependence on fossil fuels, it is crucial to explore new sources of renewable electricity. Solar cells, which convert sunlight or ultraviolet (UV) rays into electrical current, offer a promising solution. Sunlight is a sustainable and abundant energy source, making it a viable option for future energy production. Due to the nature of solar cells, which depend on sunlight, the output they produce is variable and influenced by changing weather conditions. Therefore, energy storage solutions, such as lithium-ion batteries, are needed to store the electricity generated by solar cells. This study will examine the characteristics and efficiency of solar cell input on the capacity of lithium-ion battery storage systems, focusing on the relationship between sunlight intensity and the generated current and voltage. An off-grid photovoltaic (PV) system relies solely on solar energy, utilizing a series of photovoltaic modules. Consequently, sunlight intensity significantly impacts the solar cell's performance by affecting the voltage and current produced, which in turn influences the system's performance. This research aims to assess the efficiency, advantages, and disadvantages of comparing the output results between series and parallel configurations of solar cells to meet desired needs. Testing and data collection will be conducted using simulations with PV Syst and Meteonorm software.
Desain Baterai Lithium-Ion Pengaruh Iradian Dan Temperatur Menggunakan PV Syst and Meteonorm Software Izzatul Umami; Intan Sekar Novitasari; Hidayatul Nurohmah; Dwi Ajatmo; Ali, Machrus
Elconika: Jurnal Teknik Elektro Vol. 2 No. 2 (2024)
Publisher : Universitas Hasyim Asy`ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/elconika.v2i2.7680

Abstract

Indonesia is a country with significant potential for developing solar energy. However, one of the challenges in the electricity sector is the reliance on fossil fuels as the primary energy source. To mitigate the impact of this dependence on fossil fuels, it is crucial to explore new sources of renewable electricity. Solar cells, which convert sunlight or ultraviolet (UV) rays into electrical current, offer a promising solution. Sunlight is a sustainable and abundant energy source, making it a viable option for future energy production. Due to the nature of solar cells, which depend on sunlight, the output they produce is variable and influenced by changing weather conditions. Therefore, energy storage solutions, such as lithium-ion batteries, are needed to store the electricity generated by solar cells. This study will examine the characteristics and efficiency of solar cell input on the capacity of lithium-ion battery storage systems, focusing on the relationship between sunlight intensity and the generated current and voltage. An off-grid photovoltaic (PV) system relies solely on solar energy, utilizing a series of photovoltaic modules. Consequently, sunlight intensity significantly impacts the solar cell's performance by affecting the voltage and current produced, which in turn influences the system's performance. This research aims to assess the efficiency, advantages, and disadvantages of comparing the output results between series and parallel configurations of solar cells to meet desired needs. Testing and data collection will be conducted using simulations with PV Syst and Meteonorm software.
Desain Controller Pada Heating Furnace Berbasis Metode Firefly Algorithm (FA) Febrian Rizal Anas; Dwi Ajiatmo; Hidayatul Nurohmah; Ali, Machrus
Nucleus Journal Vol. 1 No. 2 (2022): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v1i2.1202

Abstract

Furnace is an equipment used to heat or change shape. Process control has become increasingly important in industry, as a consequence of global competition, Year after year, furnaces have improved in both process and industrial equipment. The tuning process ensures that system performance meets operating objectives. Artificial Intelligent (AI)-based intelligent control has developed a lot to improve conventional controls to control voltage loads and is always under constant assessment of the variable. In this research task, it will be discussed about the control of the furnace temperature so that it remains constant with PID and by tuning the Firefly Algorithm (FA) with changes in the output voltage obtained which have better settling time, overshoot and undershoot.
Co-Authors Budiman Dwi Ajatmo Dwi Ajiatmo Febrian Rizal Anas Intan Sekar Novitasari Izzatul Umami Machrus Ali Mahrus Ali Wahyu Cahyono