Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Maizura, Safrina; Sihombing, Volvo; Dar, Muhammad Halmi

doi:10.33395/sinkron.v8i2.12258

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…The C4.5 algorithm is a development of the ID3 algorithm created by Ross Quinlan. This algorithm is used to produce decision trees and is included in the category of machine learning algorithms (Maizura, Sihombing, & Dar, 2023). C4.5 makes decisions by converting training data into a decision tree.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of Stunting in Toddlers Combining the Naive Bayes Method and the C4.5 Algorithm

Melyani,

Harahap,

Irmayanti

2024

SinkrOn

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Research conducted to predict the incidence of stunting in toddlers, using data mining methods such as Naive Bayes and the C4.5 algorithm has been applied to analyze health data. The main aim of this research is to develop a predictive model that can identify toddlers who are at high risk of stunting, based on variables that have been collected from medical records and health surveys. The use of the Naive Bayes and C4.5 methods in this research aims to compare the effectiveness of the two methods in dealing with complex and unbalanced classification problems. This research involves a series of crucial stages starting from data selection, data pre-processing, data mining model design, data mining model testing, to method evaluation. In this study, the sample used consisted of 200 toddlers, of which 159 were diagnosed as having stunting and 41 others were not. The classification results show significant effectiveness in both methods used. The accuracy results of both methods are very encouraging, with both methods showing success rates of more than 90%. This shows that both Naive Bayes and C4.5 are very effective in identifying patterns related to the risk of stunting among toddlers. These highly accurate results not only demonstrate the power of data mining techniques in the field of public health but also provide insights that health practitioners can use to intervene earlier in at-risk populations.

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Section: Literature Reviewmentioning

confidence: 99%

Prediction of Stunting in Toddlers Combining the Naive Bayes Method and the C4.5 Algorithm

Melyani,

Harahap,

Irmayanti

2024

SinkrOn

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“…The Decision Tree method can also provide very good classification results, this is because the accuracy of the Decision Tree method is also very good. (Maizura, Sihombing, & Dar, 2023) conducted a study on student interest in higher education. So in this research, the accuracy results obtained were 97%.…”

Section: Metode Decision Treementioning

confidence: 99%

Analysis of the Level of Public Satisfaction on the Tiktok Application as an E-Commerce

Irmayani,

Sinaga,

Masrizal

2023

SinkrOn

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Online shopping has become one of the alternatives used by society today. This happens because doing online shopping saves a lot of time. There are many online shops in Indonesia and are used by many people, such as Shopee, Lazada and Tokopedia. But now there is an application that initially only acted as a social media platform, but now also doubles as an E-commerce application, namely TikTok. TikTok has now become an E-commerce application. The prices given are also very cheap and there are lots of promotions given to customers. But there are still some people who don't want to shop online on TikTok on the grounds that the goods are not good. So from these 2 things, research needs to be made to determine the level of public satisfaction with the TikTok application as an E-commerce. The aim of this research is to see how many people are satisfied shopping on TikTok. This research was carried out using a classification model in data mining using the K-Nearest Neighbor (kNN) method and the Decision Tree method. The classification results obtained were 119 community data (for representation of 96.74%) and for people who were dissatisfied with the TikTok application as an E-commerce it was 4 community data (for representation of 3.25%). These results provide the conclusion that many people are satisfied shopping on the TikTok application as E-commerce

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Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Cited by 2 publications

References 11 publications

Prediction of Stunting in Toddlers Combining the Naive Bayes Method and the C4.5 Algorithm

Prediction of Stunting in Toddlers Combining the Naive Bayes Method and the C4.5 Algorithm

Analysis of the Level of Public Satisfaction on the Tiktok Application as an E-Commerce

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