Putri Talia Cantika, NPM 2007100011 (2023) ANALYSIS OF PUBLIC INTEREST IN TELKOMSEL CARDS USING THE DECISION TREE METHOD. Tugas_ Akhir (Artikel) Sinkron : Jurnal dan Penelitian Teknik Informatika, 8 (2). pp. 1181-1195. ISSN 2541-2019 (e-ISSN) / 2541-044X (p-ISSN)
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Abstract
SIM card (Subscriber Identification Module) card is a physical electronic device that is the integrated circuit of the internet. Sim cards are used by the public as a place to store quotas for internet, phone calls and SMS. There are many types of SIM cards that are used by the public, such as Telkomsel cards, XL cards, Exis cards and Smartfren cards. There are some people who are interested and use Telkomsel cards, because the network is good. But there are some people who don't use Telkomsel cards, because the quota price is quite expensive. Therefore, the Penlus will make research about people's interest in Telkomsel cards. This study aims to determine the amount of public interest in the Telkomsel card. To conduct this research, the authors used 42 community data which would be classified using the decision tree method. The data used by the author was obtained by distributing a questionnaire to the public. After classifying using the decision tree method, the result is that the people who are interested in the Telkomsel card are 33 people who are interested in the Telkomsel card (for the representation results it is 78.5%) and the results obtained are that the people who are not interested in the Telkomsel card are 9 people (for its representation results of 21.4%). From the results of the study, many people are interested in Telkomsel cards, even though the internet, call and SMS quota prices are quite expensive. Keywords: Classification, Confusion Matrix, Data Mining, Decision Tree, SIM Card.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Classification, Confusion Matrix, Data Mining, Decision Tree, SIM Card. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > Informatika Komputer |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 17 Nov 2023 03:28 |
| Last Modified: | 17 Nov 2023 03:28 |
| URI: | http://repository.ulb.ac.id/id/eprint/505 |
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