TEKNOLOGI SMART WIRELESS SENSOR NETWORKS (SWSN) UNTUK MONITORING SUHU DAN KELEMBABAN PADA TANAMAN CABAI MERAH KERITING MENGGUNAKAN METODE FUZZY INFERENCE SYSTEM MODEL SUGENO
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Institusion

Institut Teknologi Perusahaan Listrik Negara

Author

Lazuardi, Fikri Ahmad
Sikumbang, Hengki
Haris, Abdul

Subject

Teknik Informatika 

Datestamp

2023-06-26 07:50:12 

Abstract :
Technology, information and communication are developing so rapidly. This can be used for monitoring or monitoring agricultural land and automatic watering on curly red chili plants using wireless sensor networks (WSN) for real time monitoring. This study uses a soil moisture sensor YL ? 69 and a soil temperature sensor DS18B20, the data from the two sensors will be processed using the Fuzzy Iference System model Sugeno algorithm to determine the output of the water pump ON or OFF based on the value of humidity and soil temperature in curly red chili plants. The data from the two sensors will be sent via the LoRa SX1278 Ra-02 module which will be displayed on the website for monitoring the temperature and humidity of chili plants. The results of the prototype test show an error rate of 10% using the Mean Absolute Percentage Error, with a measurement accuracy of 90%. 

File :
Fikri Ahmad Lazuardi_201831015_Skripsi_Revisi.pdf