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

Authors

  • Fredryc Joshua Pa'o Universitas Kristen Satya Wacana, Salatiga
  • Hendry Hendry Universitas Kristen Satya Wacana, Salatiga

DOI:

https://doi.org/10.30865/json.v2i3.2895

Keywords:

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

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.

Author Biography

Fredryc Joshua Pa'o, Universitas Kristen Satya Wacana, Salatiga

Mahasiswa Fakultas Teknologi Informasi

References

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Published

2021-05-30

How to Cite

Pa’o, F. J., & Hendry, H. (2021). Decision Tree dalam Menganalisis Data Pengunjung Wisata Danau Poso untuk Pengambilan Keputusan. Jurnal Sistem Komputer Dan Informatika (JSON), 2(3), 261–268. https://doi.org/10.30865/json.v2i3.2895

Issue

Vol. 2 No. 3 (2021): Mei 2021

Section

Articles

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