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All Journal Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Ade Marsinta Arsani
BPS-Statistic Indonesia
Economics, Econometrics & Finance Mathematics

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IMPLEMENTATION BINARY LOGISTIC MODEL ON FACTORS AFFECTING A PERSON'S SMOKING STATUS Yunita Yunita; Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.55

Abstract

This study aims to determine factors influencing a person's smoking status. The independent variables used were gender, working status, marital status, age, and average length of schooling. The data comes from the 2014 Indonesian Family Life Surveys (IFLS). The analytical method used is binomial/binary logistic regression. The results showed that all of the independent variables significantly affected a person's decision to smoke. Partially, age, working status, marital status, and gender positively affect a person's decision to smoke. This result means that at a higher age, a working, married and male person has a greater chance to smoke than a younger, single/not married, and female. On the other hand, the average length of schooling significantly negatively affects smoking, meaning that the higher the education, the lower the chance of smoking. Therefore, regulations that are right on target, both by the government and society, are needed to reduce the number of smokers in Indonesia
PREMIUM RICE PRICE MODELING USING ARIMA MODEL Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Mohamad Arif Kurniawan; Triana Mauliasih Aritonang; Sigit Budiantono; Nurhidayati Nurhidayati
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.59

Abstract

Rice is a food commodity that has a vital role in meeting the basic food needs of most Indonesian people. Therefore the price of rice significantly impacts the availability, accessibility, and stability of the people's social, economic, and welfare. This study aims to model large prices and conduct nighttime with the ARIMA method. The ARIMA model used based on ACF and PACF criteria is ARIMA (1,1,0). ARIMA modeling (1,1,0) satisfies all assumptions of normality, non-heteroskedastic, non-autocorrelation, and model stability. The model's performance is also good in forecasting with MAPE below 10 percent. Based on forecasting results, premium rice prices continue to increase. Implementing this result requires the government to anticipate rice price increases with comprehensive policies and remain calm so that large prices remain stable
Co-Authors Mohamad Arif Kurniawan Nurhidayati Nurhidayati Pardomuan Robinson Sihombing Putu Pande Wahyu Diatmika Sigit Budiantono Triana Mauliasih Aritonang Yanti, Ni Komang Semara Yunita Yunita