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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 Jurnal JEETech Nucleus Journal DIMAS-UNDAR
Hidayatul Nurohmah
Universitas Darul Ulum
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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Journal : jurnal jeetech

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Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO) Machrus Ali; Hidayatul Nurohmah; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v3i1.3108

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes 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 Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.
Komparasi PID, FLC, dan ANFIS sebagai Kontroller Dual Axis Tracking Photovoltaic berbasis Bat Algorithm Hidayatul Nurohmah; Machrus Ali; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

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Abstract

Photovoltaic is a renewable electrical energy generator that is very suitable for tropical countries that get a lot of sunlight. However, this generator has low efficiency. To overcome this deficiency, several researchers have optimized the conventional dual-axis tracking solar method. Research is needed to optimize using artificial intelligence, in this case, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Bat Algorithm (BA). By comparing the performance of the model without control, conventional PID model, PID Auto tuning MatLab, Fuzzy Logic Controller (FLC) method, ANFIS method, and ANFIS-BA method. The simulation results show that the best model design on the horizontal axis and vertical axis dual tracking photovoltaic is ANFIS-BA with the smallest overshot, smallest undershot, and the fastest settling time of all model designs.
Optimasi SMES untuk Load Frequency Control pada PLTMH Menggunakan ICA dan BA Machrus Ali; Hidayatul Nurohmah; Muhammad Agil Haikal
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6110

Abstract

Micro hydro power plants (MHPPs) are increasingly important for decentralized renewable electrification, especially in isolated and rural grids where low inertia makes frequency highly sensitive to abrupt consumer-load variations. The main problem addressed in this study is that governor-turbine dynamics and conventional controller tuning are often insufficient to suppress transient frequency deviation rapidly, while previous MHPP load frequency control (LFC) studies commonly report ICA, BA, SMES, or CES results separately and in per-unit form, making practical comparison less direct. This paper contributes a current benchmark-based synthesis and normalized comparative analysis of Superconducting Magnetic Energy Storage (SMES)-assisted LFC for a 40 kVA, 32 kW, 50 Hz MHPP using the Imperialist Competitive Algorithm (ICA) and the Bat Algorithm (BA) with Integral Time Absolute Error (ITAE) as the optimization objective. Literature benchmark data are reprocessed by converting per-unit overshoot into Hz and by calculating reduction relative to the uncontrolled condition to provide a transparent and reproducible engineering interpretation. ICA-based PID-SMES gives a frequency overshoot of -4.11 x 10^-5 pu (-0.002055 Hz), whereas BA-based SMES-PID gives -4.038 x 10^-5 pu (-0.002019 Hz). Compared with the uncontrolled system, the overshoot reduction reaches 87.07% for ICA and 87.30% for BA. The main contribution of this work is a clarified research-gap map, a normalized ICA-BA comparison on a comparable MHPP benchmark, and a replicable basis for future equal-condition MATLAB/Simulink validation.
Co-Authors Abdul Natsir Achmad Afandi Achmad Zaini Agus Raikhani Ahmad Fauzi Ridhwan Andi Imran Budiman Choiruddin Dwi Ajiatmo DWI WULANDARI Elfizar Novrianto Enggal Indra Gunawan Febrian Rizal Anas Karim Hanjaya Kholish Fadlili Laudhie Primadonni Kusumajaya Luqman Hakim M Agil Haikal M. Ilham Romli M. Teguh Proyoga Machrus Ali Machrus Ali Mahrus Ali Miftahul Djanah Muhammad Ade Yusuf Alghifrani Muhammad Agil Haikal Muhammad Ruswandi Djalal Muhammad Yusuf Yunus Muhlasin Rukslin Rukslin Rukslin Siti Arifah Venda Kusuma Apsari Wahyu Cahyono Yoga Arie Pambayun