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All Journal Jurnal Teknik Elektro dan Komputasi (ELKOM) International Journal of Marine Engineering Innovation and Research Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Istiyo Winarno
Universitas Hang Tuah
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Koordinasi Adaptif DOCR Pada Sistem Transmisi Loop Multi Generator Menggunakan Modified Firefly Algorithm-Artificial Neural Network Yolanda Dewi Puspita Ayu; Daeng Rahmatullah; Istiyo Winarno
Jurnal Ilmiah Telsinas Vol 4 No 1 (2021)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1068.694 KB) | DOI: 10.38043/telsinas.v4i1.2093

Abstract

Protection system is a very important component in the electric power distribution system. With good reliability, the distribution of electrical power will be better, one of which is by minimizing disruption to the system quickly, precisely and accurately. Components used in protection systems are directional overcurrent relays (DOCR). In this study proposed optimal and adaptive protection coordination using the Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) tested on the IEEE 9 real bus loop system with 4 generation combinations. Optimization using MFA will get the Time Delay Setting (TDS) and Ipickup (lowset) values. The ANN used is Backpropagation Lavenberg Marquardt (BPLM) After the BPLM learning process, we will get the weight and bias values of the training results and later as a reference value to get the value of TDS and Ipickup relay. The process will produce relay settings automatically based on the results of optimization and MFA-ANN training which are then simulated on the IEEE 9 bus loop system. The results achieved by MFA-ANN are suitable methods for modeling optimal and adaptive relay coordination systems. ANN training with the BPLM algorithm produces the smallest MSE value of 5.9308xE-10.
Kontrol Kecepatan Motor BLDC Menggunakan Cuk Konverter Mohamad Akbar Mukti; Thoriqul Huda; Dzulfiqar Julda; Achmad Handoko Andreansyah; Belly Yan Dewantara; Istiyo Winarno; Iradiratu Diah Prahmana K.
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 2, No 2 (2020): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v2i2.3386

Abstract

Motor Brushless Direct Current (BLDC) merupakan motor DC tanpa penggunaan sikat sehingga efisiensi pemakaian lebih tinggi, dibantu dengan adanya konverter tegangan DC dapat dikontrol dan diubah untuk mencapai efisiensi. Sejatinya kecepatan motor DC berubah ubah dan tidak terkontrol sehingga mempengaruhi kinerja beban. Pada penelitian ini cuk konverter digunakan sebagai pengkontrol kecepatan motor BLDC. Cuk konverter dapat mengontrol kecepatan motor BLDC dengan mengatur tegangan output dari motor DC, Skema penelitian yang dilakukan  disimulasikan ke dalam program PSIM dan perbandingan kinerja sistem tak terkontrol dan sistem terkontrol. Dengan merancang cuk konverter terkontrol, dapat mengatur kecepatan motor DC secara otomatis dengan acuan kecepatan referensi yang telah ditetapkan pada berbagai variasi pembebanan. Sehingga kecepatan dapat dipertahankan meskipun dengan berbagai nilai pembebanan. Dari percobaan sistem terkontrol tidak terjadi overshoot karena dapat diredam oleh sistem PID sehingga tidak terjadi lonjakan kecepatan pada motor BLDC itu sendiri. Hal ini membuktikan bahwa Cuk Konverter dapat digunakan untuk mengontrol kecepatan motor dan menekan laju overshoot.
Vertical Axis Wind Turbine-Flettner Rotor Integration as Hybrid Propulsion Power on a Model Ship Erfprins Azhar Ratono; Bagiyo Suwasono; Istiyo Winarno; Sutiyo
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 2 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.4990

Abstract

Natural energy is something that can be utilized as an alternative energy besides fossil fuel energy. Considering that the need for fossil fuel energy is decreasing, the purpose of this research is to propose a utilization of natural energy in the form of wind. The implication of the use of this alternative energy in the hybrid power function is that the integration of vertical axis wind turbines and Flettner rotors is chosen as the main driving energy of the model ship that fully utilizes wind energy. The performance evaluation stages in this experiment include design and simulation for the turbine-Flettner rotor, and trials on a model ship using a monohull type hull. The objective of this research is to obtain the optimum performance of the combined vertical-axis wind turbine-Fletner rotor in supporting hybrid propulsion power on a model ship. The power required by Flettner is 0.695 Watt and the turbine rotate at a minimum angular velocity of 40 rpm. The highest contribution of the Flettner rotor at ship service speed 1 knot and ship total resistance of 0.01 kN reached 26,20%.
The Implementation of Nonlinear Signal Techniques for Enhanced Monitoring of Marine Propulsion Systems Iradiratu Diah Prahmana Karyatanti; Istiyo Winarno; Belly Yan Dewantara; Anggo Suryo Wibisono
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 2 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.6378

Abstract

The motor is a crucial component of a ship's propulsion system, playing a significant role in facilitating smooth maritime transportation operations. Various factors, including dynamic loads, speed variations, and unstable marine environmental conditions influence the performance of the propulsion motor. Under dynamic conditions, the ship's propulsion motor encounters challenges such as load fluctuations, vibrations, and other disturbances that can affect its efficiency and operational lifespan. Consequently, real-time monitoring of the motor's condition has become an urgent necessity to detect potential damage early and ensure the safety and reliability of the ship's operations. This study aims to develop a condition monitoring system for ship propulsion motors using nonlinear acoustic signals. These signals will be processed using appropriate algorithms for nonlinear signals' characteristics. The Short Time Fourier Transform (STFT) is identified as a suitable algorithm for processing nonlinear signals. The filtered signal results will provide insights into the condition of the ship's propulsion motor. Given the influence of vibrations and non-engine noise, careful consideration must be given to sensor placement to achieve high monitoring accuracy. The Completely Randomized Design (CRD) approach will be employed to determine the optimal sensor placement. Through precise signal processing, meticulous spectral analysis, and optimal sensor positioning, accurate information can be obtained. The research findings indicate that the motor monitoring system achieved an accuracy rate of 100% with the sensor positioned 110 cm from the test motor body.
Co-Authors Achmad Handoko Andreansyah Agus Nurullah Anggo Suryo Wibisono Bagiyo Suwasono Belly Yan Dewantara Dzulfiqar Julda Erfprins Azhar Ratono Iradiratu Diah Prahmana Karyatanti Iradiratu Diah Prahmana Karyatanti Mohamad Akbar Mukti Rahmatullah, Daeng Sutiyo Thoriqul Huda Yolanda Dewi Puspita Ayu