Decision Tree dalam Menganalisis Data Pengunjung Wisata Danau Poso untuk Pengambilan Keputusan

 Fredryc Joshua Pa'o (Universitas Kristen Satya Wacana, Salatiga, Indonesia)
 (*)Hendry Hendry Mail (Universitas Kristen Satya Wacana, Salatiga, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/json.v2i3.2895

Abstract

This study uses a classification system in managing its data. In classification there are several methods provided, one of which is the decision tree method with the C4.5 algorithm this method means a decision tree where the structure is the same as a flowchart where each node signifies an attribute test, each branch presents the test results and the leaf node represents the class or class distribution. The data used is the data of Lake Poso Tourism visitors from 2009 to 2020, then the method used in this study is divided into several stages, namely the data being studied, analyzing the data, transforming data and designing a decision tree with the C4.5 algorithm. The results achieved from this study are that the number of visitors more than 28,984 has a description of "Much" which is dominated by local tourists, while the value with the name "Less" is in foreign tourists. This is one of the important points in determining the right strategy for developing tourism in Lake Poso.

Keywords


Classification; Decision Tree; C4.5 Algorithm; Lake Poso Tourists

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Copyright (c) 2021 Fredryc Joshua Pa’o, Hendry

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Creative Commons License
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