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All Journal JAREE (Journal on Advanced Research in Electrical Engineering)
Muhammad Rivai
Institut Teknologi Sepuluh Nopember
Control & Systems Engineering Electrical & Electronics Engineering

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Dissolved Oxygen Regulatory System Using Fuzzy Logic Method Based on Teensy Board Microcontroller Fajar Budiman; Muhammad Rivai; Luthfi Riadhi; Devy Kuswidiastuti
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 1 (2019): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i1.74

Abstract

Dissolved oxygen in water becomes a critical factor in the cultivation of fish hatcheries that determines the success/failure rate in the process of improving the quality and quantity of fish hatcheries. Low dissolved oxygen levels cause deficient to the process of decomposition, reproduction, and growth of fish. In this study, a system that can regulate the levels of dissolved oxygen in water is designed and built by utilizing the Dissolved Oxygen Meter of AZ-8403 as a sensor. The percentage of oxygen in water is controlled by Fuzzy Logic implemented in the Teensy board microcontroller. When the oxygen level is below the setting point, the aerator is then activated to produce dissolved oxygen in the water. The test results conducted on the aquarium containing fish obtained error for the reading of dissolved oxygen sensor of 0.075%. The system response requires 1 minute to reach the setting point.Keywords: dissolved oxygen, fuzzy logic control, teensy board.
Perspective Transformation Automation In Identification Of Parking Lot Status With Blob Detection Mohammad Nasrul Mubin; Hendra Kusuma; Muhammad Rivai
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 2 (2023): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i2.364

Abstract

Implementation of automation greatly facilitates the work of a system. This research automates the search for perspective transformation coordinates. In previous study, the process was done manually and was considered time-consuming and costly. The search for these coordinates is carried out with the help of red circles at several points in the parking area to be identified. There are two cases of images to be automated, namely the image of the parking area without obstacles and with obstacles. In the unobstructed images, the identification of transformation coordinates is carried out by identifying the coordinates of the auxiliary circle. Whereas in the images with obstructions, the identification of the transformation coordinates also involves the intersection equations of lines. The process of identifying the coordinates is done with the condition of the parking lot without a single vehicle. Once the coordinates are obtained, all coordinates are stored and will be used in the perspective transformation process in status parking slot identification stage. The identification stage is same with previous study. The proposed system 100% able to identify the transformation coordinates and carry out the perspective transformation process as expected. Of the 900 samples in each case, we acquire 100% recall, and most of the parking slot identification status being above 85% precision and accuracy. Compared to previous studies, the proposed system is more effective, with recall, precision, and accuracy values at 100%. The effectiveness of the proposed system is even more evident with average data automation time is 31.689 seconds.
Co-Authors Budiman, Fajar Devy Kuswidiastuti Kusuma, Hendra Siswanto Luthfi Riadhi Mohammad Nasrul Mubin