IDENTIFIKASI HAMA DAN PENYAKIT TANAMAN ANGGUR MENGGUNAKAN METODE COLLABORATIVE FILTERING BERBASIS WEBSITE (STUDI KASUS: SATRIYA GRAPE FARM)

ARYARIZKI, LUTHFI (2022) IDENTIFIKASI HAMA DAN PENYAKIT TANAMAN ANGGUR MENGGUNAKAN METODE COLLABORATIVE FILTERING BERBASIS WEBSITE (STUDI KASUS: SATRIYA GRAPE FARM). Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Grape is a type of fruit plant that has good nutritional value and is widely produced in cold regions. The main challenge in increasing grape productivity is the decrease in grape yields in the rainy season due to pests and diseases. There are many not experience grape growers that hinder the healing of vines. The existence of expert system research to diagnose pests and diseases in grapes helps grape farmers overcome pest and disease problems. In this study, the Collaborative Filtering method was used to determine the disease with the highest rating. The highest rating is obtained from the descending mean absolute error. Grape farmers only need to enter the symptoms experienced in the vines, which will then be processed by the system. In black box testing, the results show that the application can run well. The results of the manual calculation test using the Collaborative Filtering method are not much different from the results of the system calculation with the highest MAE result by the Red Mite at 3.2962294.

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