PENGEMBANGAN ALAT PEMBERI MAKAN IKAN OTOMATIS MENGGUNAKAN ARDUINO TERINTEGRASI BERBASIS IOT

Himawan, Hidayatullah and Yanu F, Mangaras (2018) PENGEMBANGAN ALAT PEMBERI MAKAN IKAN OTOMATIS MENGGUNAKAN ARDUINO TERINTEGRASI BERBASIS IOT. TELEMATIKA, 15 (02). pp. 87-98. ISSN 1829-667X

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Abstract

Smart Feeding IoT based is an automatic fish feeding concept that allows for remote control in feeding and monitoring pond conditions such as water temperature, Ph levels, water clarity levels so that fish growth can be maximized by using arduino as a tool. IoT based Smart Feeding is a concept that combines architectural and mechanical electrical design in order to provide speed of movement / mobility and ease of control as well as access from any direction and time at any time in terms of automation in which all activities that occur in fish farming can ease the task of breeders fish cultivation. Information on fish ponds can be quickly detected thanks to the help of the Dallas DS18B20 sensor, pH Probe E201-BNC and TDS meter sensors which can find out the condition of pond water then the reading data is sent in real time and stored in a database. Internet of Things (IoT) Integrated Fish Farming Monitoring System to remotely control and monitor fish ponds using cloud computing is carried out with several design stages, the first stage which is an analysis of system problems to find out more about monitoring fish ponds. exist in fish cultivation activities. The output resulting from the fish feed testing is in accordance with the feed opening time set from the application as well as the calibration sensor testing of water temperature, pH and water clarity obtained the same results, only decimal fractions that distinguish.

Item Type: Article
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: ST,MM,MEng HIDAYATULAH HIMAWAN
Date Deposited: 15 May 2020 06:01
Last Modified: 15 May 2020 06:03
URI: http://eprints.upnyk.ac.id/id/eprint/22645

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