ANALYSIS OF THE LEVEL OF PUBLIC SATISFACTION ON THE TIKTOK APPLICATION AS AN E-COMMERCE

Fransisco Alexander Sinaga, NPM 2007103058 (2023) ANALYSIS OF THE LEVEL OF PUBLIC SATISFACTION ON THE TIKTOK APPLICATION AS AN E-COMMERCE. Tugas_ Akhir (Artikel) Sinkron : Jurnal dan Penelitian Teknik Informatika, 8 (4). pp. 2579-2591. ISSN 2541-2019 (e-ISSN) / 2541-044X (p-ISSN)

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Abstract

Online shopping is one of the alternatives used by people today. This happens because shopping online saves a lot of time. There are many online shops in Indonesia and are used by many people. 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. Keywords: Confusion Matrix; Decision Trees; E-commerce; K-Nearest Neighbor (kNN); ROC Analysis; TikTok App

Item Type: Article
Subjects: H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > Informatika Komputer
Depositing User: Unnamed user with email repository@ulb.ac.id
Date Deposited: 05 Feb 2024 09:22
Last Modified: 05 Feb 2024 09:22
URI: http://repository.ulb.ac.id/id/eprint/585

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