2021
DOI: 10.30865/json.v2i3.2895
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Decision Tree dalam Menganalisis Data Pengunjung Wisata Danau Poso untuk Pengambilan Keputusan

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 stud… Show more

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Cited by 1 publication
(2 citation statements)
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“…Decision Tree in Analyzing Lake Poso Tourist Visitor Data for Decision Making. [4] The purpose of this study is to analyze data on tourist visits to Poso Lake by using the Decesion Tree algorithm for decision making. The results of this study, visitors to Lake Poso tourism with the number of visitors more than 28,984 have a lot of information and are dominated by local tourists, while foreign tourists with more than 417 visitors and less than 1,874 still have less information.…”
Section: Research Methodology a Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Decision Tree in Analyzing Lake Poso Tourist Visitor Data for Decision Making. [4] The purpose of this study is to analyze data on tourist visits to Poso Lake by using the Decesion Tree algorithm for decision making. The results of this study, visitors to Lake Poso tourism with the number of visitors more than 28,984 have a lot of information and are dominated by local tourists, while foreign tourists with more than 417 visitors and less than 1,874 still have less information.…”
Section: Research Methodology a Literature Reviewmentioning
confidence: 99%
“…And succeeded in modeling the data on foreign tourist visits to Bali according to short-term predictions. while the research conducted by [4] Decision Tree in Analyzing Lake Poso Tourist Visitor Data for Decision Making. The results obtained from this study are the number of visitors more than 28,984 having the statement "Many" which is dominated by local tourists while the value with the description "Less" is for foreign tourists.…”
Section: Introductionmentioning
confidence: 99%