Data Mining Dengan Metode Naïves Bayes Classifer dalam Memprediksi Tingkat Kepuasan Pelayanan Dokumen Kependudukan

Wirma, Susi

doi:10.37034/infeb.v4i3.155

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research aims to improve customer service quality by collecting information using the Naïve Bayes Classifier data mining method. [10]…”

Section: Research Contentmentioning

confidence: 99%

Application of Data Mining Using the Naïve Bayes Classifier Method to Analyze the Level of Customer Satisfaction in Ice Cream Mixue

Anita,

Gaol,

Sipayung

2023

JUSIKOM PRIMA

View full text Add to dashboard Cite

Ice Cream Mixue is a company engaged in the production of beverages and food. They provide a wide range of ice cream flavors with premium quality and natural ingredients, attracting many customers' attention. This study uses a quantitative method because the data sources are apparent. The research method is a scientific way to obtain data with specific purposes and uses. The technique used is the Naïve Bayes Classifier Algorithm with rapidminer results. 356 customers answered the questionnaire results satisfied, 64 customers who answered the questionnaire results were neutral, and 80 customers responded to the questionnaire results and were not happy. In this case, the Naïve Bayes Classifier Method can predict the level of customer satisfaction for ice cream mixes using the Rapidminer Application with Satisfied Words. This analysis obtained Class Precision satisfaction results of 94.72%, pred. neutral 2.0%, and pred. They are dissatisfied by 4%.

show abstract

“…This research aims to improve customer service quality by collecting information using the Naïve Bayes Classifier data mining method. [10]…”

Section: Research Contentmentioning

confidence: 99%

Application of Data Mining Using the Naïve Bayes Classifier Method to Analyze the Level of Customer Satisfaction in Ice Cream Mixue

Anita,

Gaol,

Sipayung

2023

JUSIKOM PRIMA

View full text Add to dashboard Cite

show abstract

“…Following TikTok were Instagram, Twitter, YouTube, and finally Facebook. (Wilandini & Purwantoro, 2022), The study only focused on one object, which is culinary.…”

Section: Introductionmentioning

confidence: 99%

Lexicon-Based and Naive Bayes Sentiment Analysis for Recommending the Best Marketplace Selection as a Marketing Strategy for MSMEs

Hoiriyah,

Mardiana,

Walid

et al. 2023

pilar

View full text Add to dashboard Cite

MSMEs (micro, small, and medium enterprises) play an essential role in the Indonesian economy, contributing to 60% of the country's GDP (gross domestic product), creating jobs, and increasing non-oil and gas exports. However, MSMEs in Indonesia face various challenges, including access to technology, digital marketing tools, financial resources, limited market distribution, and low technological literacy. Marketplaces provide an essential marketing channel for MSMEs to increase their competitiveness and sales. Sentiment analysis can assist businesses in making informed decisions about which marketplace to use to increase customer satisfaction. Apart from the importance of the marketplace for MSMEs in Indonesia, research on sentiment analysis for marketplace recommendations is still minimal. Therefore, this study aims to analyze six popular marketplaces in Indonesia using Lexicon-based and naïve Bayes research methods to provide the best marketplace recommendations for MSME marketing. The results showed that Blibli.com had the highest accuracy, followed by Tokopedia, Tiktokshop, Lazada, Shopee, and Bukalapak. Blibli.com received positive reviews with 96.33%, followed by Tokopedia with 95.25%, Tiktokshop with 94.61%, and Lazada with the highest accuracy. 94.22%, Shopee 92.18%, and Bukalapak 89.57%. This research has two significant contributions. First, making a scientific contribution by applying a combination model of lexicon-based and naïve Bayes to analyze market sentiment in Indonesia Second, offering a practical contribution by providing recommendations to MSME actors and policymakers in choosing the best marketplace for MSMEs marketing purposes in Indonesia. By utilizing the recommended marketplace, MSMEs can optimize their marketing strategy and increase their competitiveness in the digital marketplace.

show abstract

Data Mining Dengan Metode Naïves Bayes Classifer dalam Memprediksi Tingkat Kepuasan Pelayanan Dokumen Kependudukan

Cited by 2 publications

References 8 publications

Application of Data Mining Using the Naïve Bayes Classifier Method to Analyze the Level of Customer Satisfaction in Ice Cream Mixue

Application of Data Mining Using the Naïve Bayes Classifier Method to Analyze the Level of Customer Satisfaction in Ice Cream Mixue

Lexicon-Based and Naive Bayes Sentiment Analysis for Recommending the Best Marketplace Selection as a Marketing Strategy for MSMEs

Contact Info

Product

Resources

About