Abstract

Smoking is a habit that is not good for health. Smoking habits are generally practiced by adults but it is possible for teenagers to do so.The Report of Southeast Asia Tobacco Control Alliance (SEATCA) entitled The Tobacco Control Atlas, ASEAN Region shows that Indonesia is the country with the highest number of smokers in ASEAN, namely 65.19 million people. This figure is equivalent to 34 percent of the total population of Indonesia in 2016. Based on these data, the authors are interested in modeling the daily cigarette consumption data for adults in Indonesia obtained from the 2015 Indonesia Family Life Survey. The variables used include the variable amount of cigarette consumption, education, level of welfare and income per month. The author wants to compare the best model that can be used to model the daily cigarette consumption of adults in Indonesia. The models being compared are Zero Inflated Poisson Regression (ZIP), Zero Inflated Negative Binomial Regression (ZINB) and Binomial Negative Hurdle Regression (HNB). The comparison results of the three models obtained that the best model is the Zero Inflated Negative Binomial (ZINB) Regression model because it has the smallest Akaike's Information Criterion (AIC) value.

Highlights

  • Smoking is a habit that is not good for health

  • Smoking habits are generally practiced by adults

  • it is possible for teenagers to do

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Summary

PENDAHULUAN

Merokok merupakan aktifitas membakar tembakau kemudian menghisap asapnya baik menggunakan rokok maupun pipa [2]. Penelitian yang dilakukan Wang, et al [14] menggunakan data dari China Health and Retirement Longitudinal Study pada 2013 menunjukkan bahwa terdapat hubungan antara pendidikan dan kesejahteraan terhadap perilaku merokok. Analisis regresi merupakan analisis statistika yang digunakan untuk memodelkan hubungan antara variabel respon dengan satu atau lebih variabel prediktor [8]. Salah satu model regresi yang dapat digunakan untuk menganalisis hubungan antara variabel respon berupa data diskrit dan variabel prediktor berupa data kontinu, diskrit atau campuran adalah model regresi Poisson. Permasalahan yang diangkat dalam penelitian ini adalah mencari model regresi terbaik dalam mengatasi overdispersi dan excess zero dengan membandingkan nilai Akaike’s Information Criterion (AIC) [4]. Akhirnya penelitian ini bertujuan untuk memperoleh model terbaik yang bisa digunakan untuk menunjukkan pola hubungan antara pendidikan, kesejahteraan dan penghasilan terhadap konsumsi rokok harian penduduk dewasa di Indonesia

Tahapan Penelitian
Model Regresi Poisson
Multikolinearitas
Overdispersi
Model Regresi Hurdle
Pemilihan Model Terbaik
Analisis Deskriptif Variabel Penelitian
Identifikasi Multikolinearitas
Regresi Poisson
Pengecekan Overdispersi
Penentuan Model Terbaik
Findings
KESIMPULAN
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