Sistem Chat Bot Toko Online Menggunakan Metode Dbscan (Density-Based Spatial Clustering Of Application With Noise) Berbasis Web

Arifin, Yusuf (2021) Sistem Chat Bot Toko Online Menggunakan Metode Dbscan (Density-Based Spatial Clustering Of Application With Noise) Berbasis Web. Other thesis, Universitas Islam Riau.

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Abstract

Currently, internet users in Indonesia continue to increasing. A research institute states that Indonesia is ranked fifth in the list of the largest internet users in the world. Therefore, in the online business world, online shop owners must be on standby to serve customer’s questions and requests that may come at any time and disrupt other work. With this problem, it is necessary to have an admin on special duty as a website manager. However, another problem arises when the admin's working hours are limited and it turns out that customers didn’t see working hours when asking about products and transacting. In this scientific paper, the method that the author uses is the DBSCAN (density-based spatial clustering of application with noise) method. The data sources used are primary and secondary data by distributing questionnaires. With the DBSCAN (densitybased spatial clustering of application with noise) method, it is hoped that the questions asked by customers can be found relevant answers so that customers will feel satisfied with the website service. The process that will be carried out using the method lies in searching from a dictionary of questions that have been made. Based on the results of these studies, it can be concluded that the use of the DBSCAN method can be applied to the chatbot process and can be used as a cluster technique for the questions asked.

Item Type: Thesis (Other)
Contributors:
ContributionContributorsNIDN/NIDK
SponsorNasution, Arbi Haza1023048901
Uncontrolled Keywords: chatbot, dbscan, online shop, website
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: > Teknik Informatika
Depositing User: Febby Amelia
Date Deposited: 20 May 2022 11:04
Last Modified: 20 May 2022 11:04
URI: http://repository.uir.ac.id/id/eprint/11005

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