SISTEM MONITORING PENGAIRAN OTOMATIS DENGAN METODE LOGIKA FUZZY

Abstract views: 611 , PDF downloads: 383
Keywords: IoT, Logika Fuzzy, Monitoring, Pengairan Otomatis

Abstract

Rice plant which is a source of food for the people, it needs enough temperature, air humidity and high water for maximum growth. The irrigation system is a major requirement in the field of agriculture, especially for rice plant. Some constraints in conventional irrigation, so they need irrigation system automatically. Some previous studies about automatic irrigation were only used one or two parameters and only used fuzzy or IoT. The method offered in this study uses fuzzy logic using 3 inputs and combines the monitoring system in real time based on IoT. The purpose of this study is to determine the effectiveness of fuzzy logic using three inputs to control the automatic irrigation system byreal time monitoring usingIoT. Data obtained by testing in themorning, afternoon, evening, night and using heat and rain treatment then compared using Matlab calculation. From the tool testing, the average precision of the tool comparison using the calculation is 77.13%.

References

Soeharto, PP23/1982 tetang Irigasi, vol. 1982. Jakarta: Menteri/Sekretaris negara RI, 1982, pp. 1–21.

A. Nif’an, “Purwarupa Kendali Kanal Irigasi Sawah Terjadwal Berbasis Mikrokontroler ATMEGA328,” Univ. PGRI Yogyakarta, 2016.

N. S. Edwin JS Situmorang, “Rancang Bangun Sistem Irigasi Persawahan Menggunakan Mikrokontroler Atmega 8535 Dengan Indikator Ketinggian Air berbasis SMS,” Politeknik Negeri Medan, Medan, 2014.

R. Pradana and R. Irawati, “Metode Fuzzy Logic Dalam Konsep Irigasi Air Dengan Mikrokontroler Arduino,” J. Telemat. MKOM, vol. 8, no. 2, pp. 107–113, 2016.

M. S. Dzulkifli and M. Rivai, “Rancang Bangun Sistem Irigasi Tanaman Otomatis Menggunakan Wireless Sensor Network,” Tek. ITS, vol. 5, no. 2, pp. 261–266, 2016.

R. Romero, J. L. Muriel, I. García, and D. Muñoz de la Peña, “Research on Automatic Irrigation Control: State of The Art and Recent Results,” Agric. Water Manag., vol. 114, pp. 59–66, 2012.

Suyanto, Artificial intelligence : sarching , reasoning , planning dan learning / Suyanto. bandung: Iinformatika, 2011.

F. Khodadadi, A. V Dastjerdi, and R. Buyya, INTERNET OF THINGS : Elsevier Inc.

J. Grafika and N. Yogyakarta, “Perancangan Context-Aware Smart Home Dengan Menggunakan Internet of Things,” in Seminar Nasional Teknologi Informasi dan Komunikasi 2016 (SENTIKA 2016), 2016, vol. 2016, no. Sentika, pp. 455–459.

S. Kusumadewi, Artificial Intelligence (Teknik dan Aplikasinya). Graha Ilmu, 2003.

E. M. dan V. S. T. Sutojo, Kecerdasan Buatan. penerbit andi, 2011.

PlumX Metrics

Published
2019-08-07