Journal of Electrical Engineering and Computer (JEECOM)
Vol 7, No 1 (2025)

Classification of LPG Gas Usage Satisfaction Level Using The Naïve Bayes Algorithm

Adrian, Angelia Melani (Unknown)
Patras, Bella Alisia (Unknown)
Sanger, Junaidy B. (Unknown)



Article Info

Publish Date
16 Apr 2025

Abstract

LPG gas is a very important energy source in everyday life for cooking activities. Although the importance of LPG gas in supporting everyday life has been widely recognized, satisfaction with the use of LPG gas is an issue that should not be ignored. Often products or services that do not meet customer expectations can cause dissatisfaction. This can be caused by low quality, prices that do not match the quality received, or not in accordance with user expectations.This study aims to classify the level of satisfaction of LPG gas usage using the Naïve Bayes algorithm. The data obtained from the survey results are 250 data using 5 attributes, namely meeting needs, good quality, affordable prices, repurchasing, and recommending products. And using 2 classes, namely satisfied and dissatisfied.The model achieved an accuracy of 89.3% with a 70:30 training-to-test data split, 91.2% with an 80:20 split, and 94.0% with a 60:40 split, indicating that performance varied based on the proportion of training and test data used.

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Journal Info

Abbrev

jeecom

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering Energy

Description

Journal of Electrical Engineering and Computer (JEECOM) is published by Engineering Faculty of Nurul Jadid University, Probolinggo, East Java, Indonesia. This journal encompasses research articles, original research report, : 1) Power Systems, 2) Signal, System, and Electronics, 3) Communication ...