KLASIFIKASI MANGGA MADU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN)

Fortwonatus, Micro (2021) KLASIFIKASI MANGGA MADU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN). S2 thesis, Universitas Atma Jaya Yogyakarta.

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Abstract

The agricultural and plantation product processing industry is growing rapidly, agriculture is one of the most important sectors in Indonesia. Indonesia is one of the largest mango producing countries in the world. Unfortunately, even though the amount of production is abundant and has a large market, mango production is still done manually. This is due to the lack of technological breakthroughs for mango farmers. Based on the above problems, research on mangoes will be carried out using the Convolutional Neural Network (CNN) method, as a solution in classifying ripe honey mangoes, raw honey mangoes, and non-mangoes. The purpose of this study was to build a mango classification system using the CNN method in order to facilitate farmers in classifying ripe mangoes, unripe mangoes and non-mangoes. The search results obtained from research on honey mango fruit were 81.64%.

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