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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JE-Unisla ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI

Hidayatul Nurohmah

Universitas Darul Ulum

Author-ID : 3279741

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Rekonfigurasi Jaringan Distribusi Radial Di Penyulang Purwoasri Berbasis Modified Imperialist Competitive Algorithms (MICA) Machrus Ali; Rukslin Rukslin; Hidayatul Nurohmah; Yoga Arie Pambayun; Achmad Zaini
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Radial distribution network configuration is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration form of the radial distribution network by opening and closing switches on the distribution network. Purwoasri feeders, Rayon Kertosono, Mojokerto area have very large losses that need to be reconfigured. The resulting power flow will produce a network power loss as a result of the configuration. The reconfiguration process will be repeated until the configuration form that produces the smallest power loss is obtained. The number of feeders and buses on the network will be difficult if done with manual calculations and requires a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the artificial intelligence method, Modified Imperialist Competitive Algorithms (MICA). With this method, it was obtained before the reconfiguration of the network suffered a loss of 89,724 kWatt after the reconfiguration had a loss of 54.8299 kWatt. The results of reconfiguration can reduce losses of 0.6173 kWatt or 38.95688%.

Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO) Venda Kusuma Apsari; Machrus Ali; Hidayatul Nurohmah; Rukslin Rukslin
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

A furnace is a tool for heating materials, oil, and so on, which usually uses gas, coal, and oil as fuel. Temperature is the main parameter that needs to be controlled in order to remain stable, precise, and of course improve fuel efficiency. As technology develops, there are several methods that can be used to control temperatures that are more reliable than conventional controls. The technology is Proportional Integral Derivative (PID) controller. PID controllers have been proven to be the best controllers and are widely used in industry. But to determine the gain from the PID value is still not accurate and can affect temperature stability, the response is also still slow to reach the desired set point. Therefore, this paper is to simulate a better PID gain value by using the artificial intelligence tuning method. The artificial intelligence method is Ant Colony Optimization (ACO). The simulation results and discussion show that the best design is PID-ACO with 0.0081 overshot, no undershot, and the fastest settling time is 35 seconds

Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Febrian Rizal Anas; Dwi Ajiatmo; Hidayatul Nurohmah; Machrus Ali
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency

Co-Authors Abdul Natsir Achmad Zaini Agus Raikhani Ahmad Fauzi Ridhwan Andi Imran Budiman Choiruddin Dwi Ajiatmo DWI WULANDARI Enggal Indra Gunawan Febrian Rizal Anas Karim Hanjaya Kholish Fadlili Luqman Hakim M Agil Haikal M. Ilham Romli M. Teguh Proyoga Machrus Ali Mahrus Ali Miftahul Djanah Muhammad Ade Yusuf Alghifrani Muhammad Ruswandi Djalal Muhammad Yusuf Yunus Muhlasin Rukslin Rukslin Rukslin Siti Arifah Venda Kusuma Apsari Wahyu Cahyono Yoga Arie Pambayun

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Journal : Jurnal Fortech