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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E bit-Tech Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) SKANIKA: Sistem Komputer dan Teknik Informatika International Journal Software Engineering and Computer Science (IJSECS) Journal of Informatics and Communication Technology (JICT) Journal of Informatics and Communication Technology (JICT)
Basri, Amat
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Mathematics

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Implementation of Random Forest Algorithm on Palm Oil Price Data Rahman Hakim, Arif; Atmaja, Dewi Marini Umi; Basri, Amat; Syafii, Muhamad
Tech-E Vol. 6 No. 2 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i2.1757

Abstract

One of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable.
Co-Authors Adisty Nilasari, Risma Arif Rahman Hakim Arif Rahman Hakim Atmaja, Dewi Marini Umi Darmawan, Rizqi Deny Haryadi Jonathan Gunawan Kuswanto, Verri Leo, Andi Mahesa Marini Umi Atmaja, Dewi Muhammad Ferdi Kurniawan Rimbawan Oprasto, Raditya Salma, Triana Dewi Sanjaya, Andreas Rino Syafii, Muhamad Tugiman Tugiman Yakub