@thesis{thesis,
		author={Musthofa  Moh Saidul},
		title ={Aplikasi Android Untuk Estimasi Masak Fisiologis Benih Padi Berdasarkan Akumulasi Panas},
		year={2022},
		url={https://sipora.polije.ac.id/15544/},
		abstract={Rice (Oryza Sativa L.) is a leading commodity for cultivation in Indonesia.
Unfortunately, rice yields have decreased every year. One of the factors causing
the decrease in yield is the use of seeds that do not pay attention to seed quality.
Seed quality is determined by the physiological maturity of rice seeds. To facilitate
the retrieval of temperature data as input for heat accumulation that will be used
in forecasting the physiological ripening time of rice seeds, an IoT is created that
is connected to an accurate android application regarding the physiological
ripening time of rice seeds. IoT is calibrated with a mini hygrometer for
comparison. Forecasting is done using the Trend Linear method by entering daily
parameter data for at least 2 days. Forecasting results depend on the type of rice
variety used, planting time and observation time.}
		}