Pemetaan Kadar Polusi Perairan Menggunakan Autonomous Surface Vehicle

Chandra, Roy (2019) Pemetaan Kadar Polusi Perairan Menggunakan Autonomous Surface Vehicle. Undergraduate thesis, Institut Teknologi Sepuluh nopember.

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Abstract

Polusi perairan banyak terdapat pada danau, sungai, dan juga daerah perairan pantai. Polusi di perairan dapat membahayakan kehidupan makhluk hidup disekitarnya, oleh karena itu diperlukan sebuah alat untuk memantau dan memetakan kadar polusi perairan. ASV (Autonomous Surface Vehicle) merupakan kapal yang mampu bergerak tanpa kontrol atau bantuan dari manusia. ASV mampu bergerak dari titik ke titik lain dengan menggunakan metode navigasi waypoint. ASV dilengkapi dengan sensor SKU-SEN-0189 untuk mengukur kekeruhan air, sensor SKU-SEN-0161 untuk mengukur keasaman (pH), dan Global Positioning System (GPS). ASV tersebut mampu menyusuri perairan dengan medan yang sulit dijangkau manusia. Ketika lokasi telah ditentukan. Kapal bergerak secara otomatis dan mengukur kadar kekeruhan air dalam bentuk persentase serta tingkat keasaman air dalam satuan pH secara real-time. Dari hasil pengujian didapatkan bahwa kapal dapat bergerak secara otomatis maupun manual dengan baik. Pada pengukuran data sensor kekeruhan memiliki persentase kesalahan sebesar 4% sedangkan pada pengukuran data sensor keasaman memiliki rerata kesalahan sebesar 0,35%, Sistem navigasi waypoint memiliki rerata kesalahan jarak sebesar 2 meter. Berdasarkan perancangan dan pengujian sistem, ASV ini mampu memetakan polusi perairan secara otomatis, sehingga dapat menginformasikan tingkat bahaya bagi kehidupan makhluk hidup disekitarnya. ======================================================================================================= Water pollution is mostly found in lakes, rivers and coastal areas. Pollution in waters can endanger the lives of living creatures around it, therefore a tool is needed to monitor and map water pollution levels. ASV (Autonomous Surface Vehicle) is a ship capable of moving without control or assistance from humans. ASV is able to move from point to point using the waypoint navigation method. ASV is equipped with SKU-SEN-0189 sensors to measure water turbidity, SKU-SEN-0161 sensors to measure acidity (pH), and Global Positioning System (GPS). ASV is able to navigate the waters with terrain that is difficult to reach by humans. When the location has been determined. The ship moves automatically and measures the turbidity level of water in the form of a percentage as well as the acidity level of water in pH units in real-time. From the test results it was found that the ship can move automatically or manually properly. The measurement of turbidity sensor data has an error percentage of 4% while the measurement of acidity sensor data has an average error of 0.35%, the waypoint navigation system has a mean distance error of 2 meters. Based on the design and testing of the system, ASV is able to map water pollution automatically, so that it can inform the level of danger for the life of living things around it.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 628.53 Cha p-1 2019
Uncontrolled Keywords: Arduino Mega, Autonomous Surface Vehicle, pH Sensor, Turbidity Sensor
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Roy Chandra
Date Deposited: 12 Jan 2022 04:33
Last Modified: 12 Jan 2022 04:33
URI: https://repository.its.ac.id/id/eprint/62056

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