Journal of Development Research
Vol. 4 No. 1 (2020): Volume 4, Number 1, May 2020

The Tomatoes and Chilies Type Classifications by Using Machine Learning Methods: Classifications using Machine Learning Methods

Irzal Ahmad Sabilla (Institut Teknologi Sepuluh Nopember)
Chastine Fatichah (Institut Teknologi Sepuluh Nopember)

Article Info

Publish Date
31 May 2020

Abstract

Vegetables are ingredients for flavoring, such as tomatoes and chilies. A Both of these ingredients are processed to accompany the people's staple food in the form of sauce and seasoning. In supermarkets, these vegetables can be found easily, but many people do not understand how to choose the type and quality of chilies and tomatoes. This study discusses the classification of types of cayenne, curly, green, red chilies, and tomatoes with good and bad conditions using machine learning and contrast enhancement techniques. The machine learning methods used are Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Linear Discriminant Analysis (LDA), and Random Forest (RF). The results of testing the best method are measured based on the value of accuracy. In addition to the accuracy of this study, it also measures the speed of computation so that the methods used are efficient.

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Journal Info
Journal of Development Research
Website

Abbrev

JDR

Publisher

Universitas Nahdlatul Ulama Blitar

Subject

Civil Engineering, Building, Construction & Architecture Education Social Sciences

Description

Journal of Development Research, a journal runs by the Institute for Research and Community Services Universitas Nahdlatul Ulama Blitar. Journal facilitates publication of the results of research in the field of human and region development. The journal is published in two versions, the print and ...