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Sudirman, Albertus
Politeknik Negeri Lampung
Computer Science & IT

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SISTEM PAKAR DIAGNOSIS PENYAKIT PADA TANAMAN VANILI MENGGUNAKAN METODE DEMPSTER-SHAFER BERBASIS WEB ., Nanda; Hermanto, Bambang; Sudirman, Albertus
Jurnal Komputasi Vol 8, No 1 (2020)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2352

Abstract

Vanilla (Vanilla planifolia Andrews) is an industrial plant that has high economic value as a foreign exchange-producing export commodity that is still potential to be developed in Indonesia. Vanilla is widely used in Indonesia as an auxiliary material for the food industry and in fragrance medicine. However, the high demand for vanilla is not balanced with an adequate level of productivity due to several obstacles in the development of vanilla in Indonesia. The main cause of obstacles in vanilla cultivation in Indonesia is the lack of understanding of vanilla farmers regarding diseases that attack vanilla plants. Therefore in this study an expert system was built that could diagnose vanilla plant diseases based on knowledge obtained from the experts directly. Expert system is built based on the web using the PHP programming language and Mysql database. The inference method used is the Dempster-shafer method. In this study consisted of 5 diseases and 16 symptoms  data. Test results show that: (1) Expertise testing by comparing the results of expert diagnoses and the system is appropriate and runs very well with a total average accuracy of 99.50% (2) External testing using a questionnaire involving 20 respondents namely "students of the Plantation Plant Cultivation" show that the system built has an average total percentage value of 82.5% with the category "Very Good".
Co-Authors ., Nanda Bambang Hermanto