SISTEM PEMANTAUAN NUTRISI HIDROPONIK BERBASIS IOT DENGAN MENGUNAKAN METODE NAIVE BAYES

ANGGARA, KHOLIL and Malik, Reza Firsandaya (2019) SISTEM PEMANTAUAN NUTRISI HIDROPONIK BERBASIS IOT DENGAN MENGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Hydroponics has become one of the solutions in agriculture, especially in areas that have limited green space. in this study the hydroponic nutrition monitoring system discussed is based on research that has been conducted by Deden Komaludin. The success of hydroponics depends on how hydroponic activists treat plants. As technology develops, hydoponic activists can take advantage of the Internet of Things (IoT) technology. The system uses a wifi network via the internet, the nutritional quality data is then stored in a Database that has been implemented by the Naive Bayes Algorithm to obtain quality nutrition in certain classes with good, moderate, or not good condition. The results of the overall level of quality sensor accuracy of the samples used to be tested are the PH sensor at 0.9965%, the humidity temperature at 94.59%, the TDS sensor at 0.8545% and the temperature sensor at 92.73%. in the results of testing the classification data with test data divided 3 times successfully detected all.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Internet Of Thing, Hidroponik, naive bayes
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD429.5-480.7 Water purification. Water treatment and conditioning. Saline water conversion T Technology > TD Environmental technology. Sanitary engineering > TD481-493 Water distribution systems T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 2627 not found.
Date Deposited:	05 Nov 2019 03:25
Last Modified:	05 Nov 2019 03:25
URI:	http://repository.unsri.ac.id/id/eprint/14299

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