@thesis{thesis,
		author={Haris  Abdul and Lazuardi  Fikri Ahmad and Sikumbang  Hengki},
		title ={TEKNOLOGI SMART WIRELESS SENSOR NETWORKS (SWSN)
UNTUK MONITORING SUHU DAN KELEMBABAN PADA 
TANAMAN CABAI MERAH KERITING MENGGUNAKAN 
METODE FUZZY INFERENCE SYSTEM MODEL SUGENO},
		year={2022},
		url={http://156.67.221.169/5829/},
		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%.}
		}