PENERAPAN METODE BAYESIAN UNTUK PENGEMBANGAN SISTEM PERINGATAN DINI SERANGAN ORGANISME PENGGANGGU TANAMAN (OPT) PADI DENGAN AUTO SMS; BAYESIAN IMPLEMENTATION FOR EARLY WARNING SYSTEM DEVELOPMENT OF RICE PLANT DISEASE WITH AUTO SMS

Teguh Wahyono, Subanar

2010 | Disertasi | PROGRAM S2 ILMU KOMPUTER

The focus of this research is to demonstrate how naive bayesian algorithm may be used to provide early warnings for bout of rice plant disease. The practitioner of artificial intelligence and machine learning algorithm will recognize Naive Bayesian as one of the technique use to construct intelligent web application. Naive Bayesian is widely use as an intelligent classifier utilized to automatically classfies data based on statistical probability. Naive Bayesian is able to 'learn' from experience by training it with sample data set to categorized certain type data. In this case, naive bayesian algorithm do statistical calculation depend on the input variables are temperature, humidity and rainfall. Output expected is early warnings for bout of rice plant disease using SMS Gateway. SMS Gateway is a rapidly growing system because of the large need for effectiveness and efficiency in sending and receiving information. SMS Gateway is implemented using a mobile phone connected to a PC equipped with a database. With SMS Gateway, SMS sent after filling mobile phone pulse, such as quizzes via SMS, or other automated SMS notification, the potential benefits and can be easily understood. Therefore, in implementing the SMS Gateway in this thesis, the author uses NowSMS module is one kind of SMS Gateway module.

Kata Kunci : Metode bayesian, AUTO SMS