IMPLEMENTATION OF DATA MINING WITH NAVE BAYES CLASSIFIER TO SUPPORT THE MARKETING STRATEGY OF THE MARKETING SECTION AT PT. MEGA PANCA JAYA BUMI
Abstract
In the business world, competition is something that is already familiar to business actors. The bigger the business can compete, the bigger the challenges faced by business actors. One of them is a company in residential property owned by PT. Mega Panca Jaya Bumi. The newly developing company should have thought of strategies in marketing its business. In order to avoid a decrease in interest and profits, it is only natural that these new strategies can be implemented in data processing techniques or Data Mining which is expected to increase marketing and the number of markets is wider. The data processing in this study uses the Naïve Bayes Classifier Algorithm in its calculations. Data taken from the company
as many as 300 records from 2019 to 2021. In this study, the process of the data experiment was carried out by applying the Python programming language version 3.8 technology. The results of testing the data got an accuracy rate of 56%
Downloads
References
A, Arya.et al. 2022. Application of the Naive Bayes Classifier Data Mining Algorithm to Determine Customer Purchase Interests for Telkomsel Cards (Ricks Cell Simpang Candra). Vol, 1. No, 2.
H, Ahmad.et al. 2021. Analysis of Public Opinion Sentiment About Covid-19 Vaccination in Indonesia Using Naïve Bayes and Decission Trees. Vol, 1. No, 1.
M, S, Muhammad.et al. 2018. Implementation of Data Mining for Student Academic Performance Evaluation Using the Naïve Bayes Classifier Algorithm. Vol, 4. No. 2.
W, A, Sri.et al. 2020. Analysis of Data Mining Applications in Sales of Rambak Crackers Using the Naïve Bayes Classifier Method for Optimizing Marketing Strategy. Vol, 3. No, 2.
U, R, Dwiarti.et al. 2021. Naïve Bayes Classification for Recommended Action Promotion Strategies at Aesthetic Dental Clinic Karawang. Vol, 5. No, 2.
P, P, Raden.et al. 2022. Application of the Naïve Bayes Algorithm to Identify Marketing Strategies in Selling E-Money Deposits. Vol, 13. No, 1.
S, Rest.et al. 2018. Implementation of the Pivot Point Strategy With Naïve Bayes for Decision Making. Vol, 1. No, 3.
W, Eddy.et al. 2019. Classification of the Best Selling Office Stationery Sales Data for Optimizing Marketing Strategy at Citramedia Stores Using the Naive Bayes Method. Vol, 10. No, 2.
Panjaitan, D. L., & Hasugian, P. M. (2021). Implementation of K-Nearest Neighbor Algorithm for Classification of Class Placement At Junior High School , Padang Month Issn : 2302-9706. Jurnal Infokum, 10(1), 43–49.
Sianipar, R., & Hasugian, P. M. (2020). Analysis of Service Levels in Café Black and White using Fuzzy Service Quality. Login: Jurnal Teknologi Komputer, 14(2), 128–136. http://www.login.seaninstitute.org/index.php/Login/article/view/41%0Ahttps://www.login.seaninstitute.org/index.php/Login/article/download/41/54
Siregar, V., & Hasugian, P. M. (2020). Application of Data Mining Method Using Association Rules Apriori To Shopping Cart Analysis On Sale Transactions (Case Study Alfamidi Burnt Stone). Journal Of Computer Networks, Architecture and High Performance Computing, 2(2). https://doi.org/10.47709/cnapc.v2i2.425
