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All Journal Jurnal Simantec CYCLOTRON JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Fortech SinarFe7 PELS (Procedia of Engineering and Life Science) JEECS (Journal of Electrical Engineering and Computer Sciences)
Adi Kurniawan Saputro
Universitas Trunojoyo Madura
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal Fortech

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Sistem Identifikasi Kesegaran dan Jenis Ikan dengan Metode K-Nearest Neighbor Berdasarkan Citra Mata dan Bentuk Ikan Febrianto Hadi Kusuma; Achmad Ubaidillah Ms; Achmad Fiqhi Ibadillah; Vivin Nahari Vivin Nahari; Koko Joni; Adi Kurniawan Saputro
Jurnal FORTECH Vol. 4 No. 1 (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.v4i1.383

Abstract

Fish is a food commodity that needs attention, to improve the quality of food production, especially the fish itself. The level of freshness of fish greatly affects the quality of food production both at the household and industrial levels, as well as determining the feasibility of the fish for processing and consumption. Currently, to determine the level of quality of fish freshness, it is still done conventionally by humans, while those who have used tools but still have deficiencies in both the level of accuracy and also the features they have are still small. In this study, a tool or system design was carried out that could identify the freshness level of a fish based on eye images taken using a webcam camera or the like as input from data to be processed using image processing. In addition, the system is given additional features to be able to identify the type of fish. So that this additional feature can help facilitate identification all at once. To classify the method used is the K-Nearest Neighbor method. The results of the data processing will be displayed in the form of a sorting system for output. In the research results obtained from the system this time from 280 datasets for identification of freshness were tested on 50 images with a success rate of 96% for fresh and 84% for rotten. While the results of identification of fish species from 50 images of test data from three types of fish obtained a success rate of 97.7% with a value of k = 5.
Perancangan Lampu Jalan Dengan Panel Surya Terintegrasi Dan Pengaturan Otomatis Intensitas Cahaya Miftachul Ulum; Khoirul Ogik Saputra; Adi Kurniawan Saputro
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5103

Abstract

Indonesia is a country that has a tropical climate and is located on the equator and gets abundant sunlight all year round. So the use of solar energy as an alternative energy is very popular and is starting to be developed in all corners of the country by carrying out a lot of research and testing. In this research, solar cells are used as a source of electrical energy for street lights. The function of these components is SCC (solar charge controller) which regulates and controls the battery charging process, electrical energy is stored in the battery which functions to supply electrical power at night. The inverter functions to change direct current (DC) into alternating current (AC). The photocell sensor functions to regulate the lights, during the day the lights will turn off and turn on at night. There is a passive infrared receiver (PIR) sensor used to detect human presence. This sensor is used to control the light intensity of the lamp, if it is not detected by humans, the lamp will turn on normally. If human presence is detected, the lights will turn on brightly. There is also an automatic solar panel cleaner using a wiper which functions when the solar panels are dirty. The detection method uses current and voltage sensors, when sunlight received by the solar panel and the resulting electric current voltage decreases, the wiper will automatically activate to clean dirty solar panels, thereby maintaining optimal solar panel performance. The solar panel is equipped with a support/pole feature that is designed to go up and down, which makes it easier to use and does not require using a ladder during the maintenance process. The method used in this research is fuzzy. The fuzzy method is used for decision making on wiper conditions. In the research results, the results of this system were obtained from 12 trials of tool measurement results, Matlab simulations, and manual fuzzy logic calculations with a success rate of 91.6%.
Co-Authors Achmad Fiqhi Ibadillah Achmad Ubaidillah Achmad Ubaidillah Ms Andre Putra Pratama Deni Tri Laksono Dian Neipa Purnamasari Diana Rahmawati Febrianto Hadi Kusuma Haryanto Haryanto Haryanto Indana Nihayatul Husna Khoirul Ogik Saputra Koko Joni Kunto Aji Wibisono Miftachul Ulum Monika Faswia Fahmi Nonik Silvia Agustin Riza Alfita Riza Alfita ROSIDA VIVIN NAHARI Sigit Rolis Siti A’isya Sukri, Hanifudin Ulum, Miftachul Vivin Nahari Vivin Nahari