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All Journal Jurnal Techno Bahari JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga)
Hajah, M. Sohibul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Transportation

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Rancang Bangun Robot ASR (Automated Storage And Retrieval) 3 Axis Untuk Peminjaman Instrumen Di Laboratorium Electric Drive Alhilal, Mustaqim; Hajah, M. Sohibul; Kurdianto, Akhmad Arif
Techno Bahari Vol 9 No 1 (2022)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v9i1.155

Abstract

The development of science and technology today is growing very fast. This makes students compete to keep up with technological developments in the era of digitalization. Madura State Polytechnic through electric drive laboratory facilities requires practicum supporting equipment. In borrowing instruments for practical needs, data collection and others can be done very easily and quickly. The process of storing or retrieving instruments in the laboratory, taking instruments on a shelf still uses conventional methods. An automated system can be applied to the storage and retrieval process of laboratory instruments to make the process faster, easier, and have high accuracy. This study tries to help solve problems in the instrument storage and retrieval system which is still at the conventional stage to be developed into an online based. From the experiments that have been carried out, the ASR Robot is controlled using a Programmable Logic Controller (PLC) which functions as the main control of the automatic instrument storage and retrieval system. Proximity sensors are used to detect the position of the robot and limit the movement of the robot so that it is accurate to pick up instruments that are in stacked shelves. The ASR robot works by requiring 294.8 Watts of power.
Rancang Bangun Alat Pembersih dan Pengering Gabah Berbasis Arduino Uno Pratama, Sifa Ardika; Prasetyo, Aries Alfian; Hajah, M. Sohibul
Techno Bahari Vol 10 No 2 (2023)
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v10i2.285

Abstract

The planning of this grain cleaning and drying machine is one of the efforts to apply appropriate technology. To assist the community in processing crop yields with a grain drying machine that is heated using a heater using a dht22 sensor. As a temperature and humidity sensor with a control system using an arduino uno as the brain of this tool . One of the reasons is that the grain drying process takes a long time because it still depends on sunny weather and requires a relatively large area. Because of that, the idea emerged to make a Design and Development of an Arduino Uno-Based Grain Cleaning and Dryer Tool. What I want to achieve from this final project is to dry grain without waiting for sunny weather first and of course it is more efficient in terms of energy and land for farmers and the community and produces good quality rice.
Optimasi penjejakan titik daya maksimum global (GMPPT) berbasis metaheuristik grey wolf pada array PV konfigurasi seri-paralel Millah, Ibrahim Saiful; Muhammad Ilman, Sofyan; Hajah, M. Sohibul; Nur, Mohammad
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 6 No. 1: March 2026
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v6.i1.2026.49-60

Abstract

Partial Shading Condition (PSC) pada sistem photovoltaic menghasilkan kurva daya-tegangan multimodal dengan multiple peak points yang menyebabkan algoritma Maximum Power Point Tracking (MPPT) konvensional seperti Perturb and Observe (P&O) terperangkap pada Local Maximum Power Point (LMPP), mengakibatkan kehilangan daya signifikan hingga 40-50%. Penelitian ini bertujuan membandingkan kinerja algoritma metaheuristic Grey Wolf Optimization (GWO) dengan algoritma konvensional P&O dalam kondisi Partial Shading untuk mengevaluasi efisiensi tracking, kecepatan konvergensi, dan stabilitas sistem. Metode penelitian menggunakan simulasi MATLAB/Simulink dengan konfigurasi panel surya 3 seri-2 paralel pada berbagai skenario PSC statis dan dinamis, dengan referensi GMPP pada kondisi non-shading sebesar 119,695 watt (tegangan 52,5 V, arus 2,28 A). Hasil pengujian menunjukkan pada kondisi non-shading, GWO mencapai 119,7 W dengan tracking time 0,71 detik dan efisiensi 99,99%, sedangkan P&O mencapai 119,5 W dengan tracking time 3,6 detik dan efisiensi 99,99%. Pada PSC dengan 5 panel shading, GWO berhasil mencapai GMPP 61 W (efisiensi 99,85%) dalam 2,6 detik, sementara P&O terperangkap pada LMPP 28,1 W (efisiensi 46%) dalam 1,86 detik. Pengujian dinamis menunjukkan GWO mampu merespons perubahan iradiasi 100-1000 W/m² dengan tracking akurat tanpa overshoot signifikan, sedangkan P&O mengalami overshoot pada iradiasi >600 W/m². Penelitian ini menyimpulkan GWO menunjukkan superioritas signifikan untuk aplikasi MPPT pada PSC dengan kemampuan menemukan GMPP dan menghindari LMPP, meskipun memerlukan kompleksitas komputasi O(N) dibanding P&O dengan O(1).
Co-Authors Akhmad Arif Kurdianto Alhilal, Mustaqim Aries Alfian Prasetyo, Aries Alfian Ilman, Sofyan M. Millah, Ibrahim Saiful Mohammad Nur Pratama, Sifa Ardika