E-commerce Service Chatbot Application Design using KNN and Random Forest Methods

Our lives are profoundly shaped by technology, with the expansion of e-commerce being a notable outcome that demands attention. Given the prevalence of smartphones equipped with rapid messaging and networking applications, individuals often utilize these platforms to communicate with sellers, offer...

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Main Author: Fardan Zamakhsyari
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2025-01-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Online Access:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4405
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author Fardan Zamakhsyari
author_facet Fardan Zamakhsyari
author_sort Fardan Zamakhsyari
collection DOAJ
description Our lives are profoundly shaped by technology, with the expansion of e-commerce being a notable outcome that demands attention. Given the prevalence of smartphones equipped with rapid messaging and networking applications, individuals often utilize these platforms to communicate with sellers, offering a convenient means for sellers to efficiently engage with a diverse customer base. Recognizing this trend, there arises a necessity for the digital transformation of services to enhance operational efficiency. In response to this need, the researcher has developed a chatbot application aimed at improving customer service, employing machine learning techniques with the KNN and Random Forest algorithms. To assess the application's viability, the chatbot's results undergo an accuracy test, revealing a satisfactory accuracy value of 71.4%, thereby affirming its feasibility.
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institution Kabale University
issn 2527-5836
2528-0074
language English
publishDate 2025-01-01
publisher Universitas Islam Negeri Sunan Kalijaga Yogyakarta
record_format Article
series JISKA (Jurnal Informatika Sunan Kalijaga)
spelling doaj-art-2fc4405b5c874525abe9808cc88ca5612025-02-02T00:37:13ZengUniversitas Islam Negeri Sunan Kalijaga YogyakartaJISKA (Jurnal Informatika Sunan Kalijaga)2527-58362528-00742025-01-01101E-commerce Service Chatbot Application Design using KNN and Random Forest MethodsFardan Zamakhsyari0Universitas Islam Negeri Sunan Kalijaga Our lives are profoundly shaped by technology, with the expansion of e-commerce being a notable outcome that demands attention. Given the prevalence of smartphones equipped with rapid messaging and networking applications, individuals often utilize these platforms to communicate with sellers, offering a convenient means for sellers to efficiently engage with a diverse customer base. Recognizing this trend, there arises a necessity for the digital transformation of services to enhance operational efficiency. In response to this need, the researcher has developed a chatbot application aimed at improving customer service, employing machine learning techniques with the KNN and Random Forest algorithms. To assess the application's viability, the chatbot's results undergo an accuracy test, revealing a satisfactory accuracy value of 71.4%, thereby affirming its feasibility. https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4405Chatbot, E-Commerce, NLP, KNN, Random Forest
spellingShingle Fardan Zamakhsyari
E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
JISKA (Jurnal Informatika Sunan Kalijaga)
Chatbot, E-Commerce, NLP, KNN, Random Forest
title E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
title_full E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
title_fullStr E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
title_full_unstemmed E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
title_short E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
title_sort e commerce service chatbot application design using knn and random forest methods
topic Chatbot, E-Commerce, NLP, KNN, Random Forest
url https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4405
work_keys_str_mv AT fardanzamakhsyari ecommerceservicechatbotapplicationdesignusingknnandrandomforestmethods