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All Journal JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Riza Alfita
Trunojoyo University Madura
Electrical & Electronics Engineering

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Planning and Manufacturing of Four Axis Solar Panels With Reflector Angle Adjustments Miftachul Ulum; Adi Kurniawan Saputro; Koko Joni; Riza Alfita; Rosida Vivin Nahari; Siti A’isya; Achmad Ubaidillah
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 1 (2022): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i1.1628

Abstract

Solar thermal energy is one type of renewable energy, so this type of energy can be converted into other energy. This study uses a four-axis solar tracker with angle settings on the reflector to get optimal sunlight, scanning to determine the optimal lighting angle, measurement results are stored in real-time in the data logger. This study uses an LDR (Light Dependent Resistor) as a sunlight detector, equipped with several sensors, namely: current, voltage and power sensor (INA219), light sensor (MAX4409), and temperature sensor (DS18B20), and reflector angle as a parameter of solar efficiency panels. . The results showed that a four-axis solar tracker equipped with a reflector was able to increase the output power. The maximum power production produced by solar panels is: At a reflector angle of 300, the maximum power generated by a static panel is 143.43 W while a solar tracker is 175.15 W. At a reflector angle of 450 the maximum power generated by a static panel is 170.01 W and solar tracker 236.36 W. At an angled reflector of 600 the full power generated by a static panel is 87.77 W, and a solar tracker is 123.36 W. This study concludes that a solar tracker panel with an angle setting of 300 is more capable of maximizing power output than a static solar panel.
Design and Build a Vaname Shrimp Sorting System Based on Image Processing Miftachul Ulum; Kunto Aji Wibisono; Haryanto Haryanto; Riza Alfita; Adi Kurniawan Saputra
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 2 (2022): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i2.1639

Abstract

Vannamei shrimp is a species of shrimp that has high economic value. In the process of trading vaname shrimp, there are different price classes. Determination of the price class of vaname shrimp is based on the size of the shrimp. But in the post-harvest process, the sorting of vaname shrimp is still done manually, namely by placing the white shrimp on a flat table and then separating it by size so that it takes a long time and the level of accuracy of the sorting process also becomes imprecise, as is done by cultivating in the coastal area of ​​Madura, this is due to the limitations of available shrimp post-harvest processing equipment. In addition, the limited supply of electrical energy for the coastal area of ​​Madura is also another factor that hinders the post-harvest process of vanname shrimp. The purpose of this study is to design and create a vannamei shrimp sorting system based on image processing. In processing this shrimp image using the Background Subtraction method. The Background Subtraction method is used as a separator between the object and the background. The sorting process is based on the size detection of shrimp by using the blob detection algorithm. BLOB (Binary Large Object) detection is an image segmentation method based on region growing. The goal is to analyze textures specifically and accurately. Because blob detection distinguishes colors that have thin gradations. Based on the tests that have been carried out, the average accuracy of the system in sorting vannamei shrimp is in the range of 90%.
Co-Authors Achmad Ubaidillah Adi Kurniawan Saputro Haryanto Haryanto Koko Joni Komang Adi Kurniawan Saputra Kunto Aji Wibisono ROSIDA VIVIN NAHARI Siti A’isya Ulum, Miftachul