COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS IN CLASSIFYING THE QUALITY OF PALU SHALLOTS

COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS IN CLASSIFYING THE QUALITY OF PALU SHALLOTS

This study conducts a comparative analysis of various machine learning methods for classifying the quality of Palu shallots based on the Indonesian National Standard (SNI). The dataset consists of 1,500 samples of Palu shallots, each characterized by 10 key features, including size, color, texture,...

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Bibliographic Details
Main Authors: Desy Lusiyanti, Selvy Musdalifah, Agusman Sahari, Iman Al Fajri
Format: Article
Language:English
Published: Universitas Pattimura 2025-07-01
Series:Barekeng
Subjects:
classification
machine learning
palu shallots
random forest
svm
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15965
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