Expert System of Pest Diagnosis in Passion Fruit Plants using the Bayes Theorem Method
Wira Apriani1, Nuraisana2, Yuda Perwira3, Suandi Daulay4, Supinah5

1Wira Apriani *, STMIK Pelita Nusantara, Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia.
2Nuraisana, STMIK Pelita Nusantara, Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia.
3Yuda Perwira, STMIK Pelita Nusantara, Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia.
4Suandi Daulay, Sekolah Tinggi Teknologi Pekanbaru (STT Pekanbaru), Jl. Dirgantara No.4, Riau , Indonesia.
5Supinah, Sekolah Tinggi Ilmu Komputer Muhammadiyah Batam, Jl. Prof. Dr. Hamka No.3, Provinsi Kepulauan Riau, Indonesia.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on February 10, 2020. | PP: 503-508 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1312029420/2020©BEIESP | DOI: 10.35940/ijitee.D1312.029420
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Abstract: Purple passion fruit has the common name granadilla or passion fruit (English), passion fruit (Indonesian), including in the family Passifloraceae. It is estimated that there are 500 species of Passifiora in the Passidoraceae family, one of which is the form of edulis or purple forma known as purple passion fruit, which includes this form is acid passion fruit with purple fruit skin (purple) also called cucumber or purple passion fruit (P. Edulis f. Edulis Sims). Purple passion fruit passion fruit can only grow and develop well in subtropical and tropical highlands. This application is based on mobile with the Android operating system by utilizing the expert system of the Bayes Theorem method. With the Bayes theorem method implemented in the Application of control of passion fruit plants in order to make it easier to do an initial diagnosis without having to spend a lot of time calling a plant expert in the field of passion fruit plants. The characteristic of the Bayes Theorem method is that the Bayes Theorem is used to calculate opportunities in a hypothesis, by determining the probability value of the expert hypothesis and the evidence value obtained from the diagnosed object, then calculating the probability value. The expected results of this study are that applications can make it easier to find out the passion fruit pests and quickly provide countermeasures without having to take too much time to call or meet a plant expert and make it easier for users to use the android-based application. 
Keywords:  Expert System, Bayes Theorem, Passion Fruit
Scope of the Article: System Integration