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All Journal Jurnal Informatika Progres
Asri Yadi
STMIK Profesional Makassar
Computer Science & IT

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Journal : Jurnal Informatika Progres

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KLASIFIKASI PENGADUAN PENGGUNA SUBSIDI BBM MENGGUNAKAN ALGORITMA NAÏVE BAYES Sainunu Boy; Yuni; Asri Yadi
PROGRESS Vol 15 No 2 (2023): September
Publisher : P3M STMIK Profesional Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56708/progres.v15i2.367

Abstract

Fuel subsidy program is one of the government programs aimed at helping people meet their daily transportation needs. However, there are still many obstacles faced by fuel subsidy users such as limited quota and lack of information about the program mechanism. Therefore, this study was conducted to predict the constraints faced by fuel subsidy users using Naïve Bayes algorithm. This study involved 100 respondents spread across Jabodetabek area and conducted an online survey as a data source. The result of data analysis showed that classification model using Naïve Bayes algorithm was quite good in predicting the constraints faced by fuel subsidy users with an average accuracy value of 0.82.Based on these results, it can be concluded that the fuel subsidy program still has several obstacles in its implementation so efforts need to be made to improve the effectiveness and efficiency of the program for more benefits to all levels of society.
Co-Authors Sainunu Boy Yuni