Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System
Since several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore,...
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| Format: | Article |
| Language: | English |
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Universitas Syiah Kuala
2023-03-01
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| Series: | Jurnal Rekayasa Elektrika |
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| Online Access: | https://jurnal.usk.ac.id/JRE/article/view/28631 |
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| author | Fithrotul Irda Amaliah Agus Indra Gunawan Taufiqurrahman Taufiqurrahman Bima Sena Bayu Dewantara Ferry Astika Saputra |
| author_facet | Fithrotul Irda Amaliah Agus Indra Gunawan Taufiqurrahman Taufiqurrahman Bima Sena Bayu Dewantara Ferry Astika Saputra |
| author_sort | Fithrotul Irda Amaliah |
| collection | DOAJ |
| description | Since several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore, information of water quality must be known by the farmer for obtaining a satisfactory harvest. This study aims to develop a water quality monitoring system based on information of temperature, pH, salinity, and dissolved oxygen. The data from sensors are sent to the cloud utilizing Internet of Things (IoT) technology and then classified by a fuzzy logic system. In order to help farmers easily know the water quality of their shrimp pond, four sensor data including the result of classification from fuzzy logic are sent to the phone. After a trial of the system, 100% of the data are successfully sent to the cloud (google spreadsheet). The system also successfully classified the level of water quality as the expectation of the farmer. With this system, it is hoped that it can assist farmers in monitoring the water quality of shrimp pond to improve the quality and quantity of shrimp. |
| format | Article |
| id | doaj-art-90c549a974f2425d97bc6a01606879ac |
| institution | OA Journals |
| issn | 1412-4785 2252-620X |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Universitas Syiah Kuala |
| record_format | Article |
| series | Jurnal Rekayasa Elektrika |
| spelling | doaj-art-90c549a974f2425d97bc6a01606879ac2025-08-20T02:23:51ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2023-03-0119110.17529/jre.v19i1.2863115743Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification SystemFithrotul Irda Amaliah0Agus Indra Gunawan1Taufiqurrahman Taufiqurrahman2Bima Sena Bayu Dewantara3Ferry Astika Saputra4Politeknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaSince several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore, information of water quality must be known by the farmer for obtaining a satisfactory harvest. This study aims to develop a water quality monitoring system based on information of temperature, pH, salinity, and dissolved oxygen. The data from sensors are sent to the cloud utilizing Internet of Things (IoT) technology and then classified by a fuzzy logic system. In order to help farmers easily know the water quality of their shrimp pond, four sensor data including the result of classification from fuzzy logic are sent to the phone. After a trial of the system, 100% of the data are successfully sent to the cloud (google spreadsheet). The system also successfully classified the level of water quality as the expectation of the farmer. With this system, it is hoped that it can assist farmers in monitoring the water quality of shrimp pond to improve the quality and quantity of shrimp.https://jurnal.usk.ac.id/JRE/article/view/28631fuzzy logicgoogle spreadsheetinternet of thingsvaname shrimpwater quality |
| spellingShingle | Fithrotul Irda Amaliah Agus Indra Gunawan Taufiqurrahman Taufiqurrahman Bima Sena Bayu Dewantara Ferry Astika Saputra Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System Jurnal Rekayasa Elektrika fuzzy logic google spreadsheet internet of things vaname shrimp water quality |
| title | Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System |
| title_full | Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System |
| title_fullStr | Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System |
| title_full_unstemmed | Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System |
| title_short | Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System |
| title_sort | water quality level for shrimp pond at probolinggo area based on fuzzy classification system |
| topic | fuzzy logic google spreadsheet internet of things vaname shrimp water quality |
| url | https://jurnal.usk.ac.id/JRE/article/view/28631 |
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