Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm

Advances in Science and Technology continue to evolve in response to the demands of modern times, particularly in various fields such as banking. The development of information technology has transformed the way transactions are conducted from traditional to digital, accessible flexibly through Mobile Banking. BNI has created the BNI Mobile Banking application to facilitate customers in their transactions. The objective of this study is to investigate how the use of BNI Mobile can influence the ease of customers in conducting transactions. The data collection method used in this study is the K-Nearest Neighbors method, focusing on user experience with the BNI Mobile Banking application

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Publication Details

Journal
SinkrOn
Published
2024-10-28
DOI
https://doi.org/10.33395/sinkron.v8i4.14136
Citations
1
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.78
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article

Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm

Muhammad Arsyad, Kristiawan Nugroho, Alfin Nurmakhlufi, Wahyu Sri Mulyani
1 citations
SinkrOn
Information Retrieval and Data Mining
0.78
article

Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm

Muhammad Arsyad, Kristiawan Nugroho, Alfin Nurmakhlufi, Wahyu Sri Mulyani
article en
1 citations

Abstract

Advances in Science and Technology continue to evolve in response to the demands of modern times, particularly in various fields such as banking. The development of information technology has transformed the way transactions are conducted from traditional to digital, accessible flexibly through Mobile Banking. BNI has created the BNI Mobile Banking application to facilitate customers in their transactions. The objective of this study is to investigate how the use of BNI Mobile can influence the ease of customers in conducting transactions. The data collection method used in this study is the K-Nearest Neighbors method, focusing on user experience with the BNI Mobile Banking application

SinkrOnVol. 8(4)
Universitas Stikubank (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Information Retrieval and Data Mining
0.78
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Sentiment Analysis on BNI Mobile Application Review Using K- Nearest Neighbors Algorithm — Muhammad Arsyad, Kristiawan Nugroho, et al. · SinkrOn (2024) | TGRS Research Map | TGRS