Smart Dashboard Design and Water Sensor Integration Architecture by Applying Internet of Things (IoT) Technology Using Data Analysis and Prediction Methods
{"title":"Smart Dashboard Design and Water Sensor Integration Architecture by Applying Internet of Things (IoT) Technology Using Data Analysis and Prediction Methods","authors":"Furqan Maulana, Hanif Fakhrurroja, M. Lubis","doi":"10.1109/ICADEIS56544.2022.10037490","DOIUrl":null,"url":null,"abstract":"Water availability in some countries is dwindling owing to increased industrialization and global warming. One of these problems impacts the fisheries sector, namely the cultivation of Australian Red Claw Crayfish, which uses a freshwater environment. There are several problems in this sector, including the absence of a tool to measure the four components that must be calculated Power of Hydrogen (pH), Dissolved Oxygen (DO), Water Temperature, and Conductivity. This problem has been going on for a long time. It requires technology to measure these four components' water stability-one of the technologies that can be used in implementing Internet of Things (IoT) technology. IoT is an alternative to measure the value of the four main focus components using sensors placed in aquaculture ponds from Australian Red Cray Crayfish. all parts of the sensor must be integrated using technology in the form of a wireless connection, and monitoring can be carried out for analysis and prediction needs of water stability. This project seeks to give a design for a smart dashboard and architecture for sensor creation using the IoT platform. This research has revealed the specifics of the architecture being created. It can present and interpret sensor data, thereby providing data that smart aquaculture farmers may use to monitor water quality in crayfish ponds.","PeriodicalId":252622,"journal":{"name":"2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADEIS56544.2022.10037490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Water availability in some countries is dwindling owing to increased industrialization and global warming. One of these problems impacts the fisheries sector, namely the cultivation of Australian Red Claw Crayfish, which uses a freshwater environment. There are several problems in this sector, including the absence of a tool to measure the four components that must be calculated Power of Hydrogen (pH), Dissolved Oxygen (DO), Water Temperature, and Conductivity. This problem has been going on for a long time. It requires technology to measure these four components' water stability-one of the technologies that can be used in implementing Internet of Things (IoT) technology. IoT is an alternative to measure the value of the four main focus components using sensors placed in aquaculture ponds from Australian Red Cray Crayfish. all parts of the sensor must be integrated using technology in the form of a wireless connection, and monitoring can be carried out for analysis and prediction needs of water stability. This project seeks to give a design for a smart dashboard and architecture for sensor creation using the IoT platform. This research has revealed the specifics of the architecture being created. It can present and interpret sensor data, thereby providing data that smart aquaculture farmers may use to monitor water quality in crayfish ponds.