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Konsumsi Rokok Masyarakat Kota Bandung Tahun 2015 dengan Model Hurdle Negatif Binomial (Hurdle-Nb) Wulandari Wulandari; Wida Tira Tedra; Irtania Muthia Rizki; Dina Prariesa
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 2 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.083 KB) | DOI: 10.34123/jurnalasks.v9i2.142

Abstract

Lifestyle that high risk to health is smoking behavior. Smoking behavior has a negative impact on health, both for active smokers and passive smokers. In addition there are also negative impacts in terms of economy. In Bandung, spending on cigarettes ranks second after the food commodity. The number of cigarettes smoked each day is influenced by demographic variables, social environment variables, political variables, and cultural variables. In this study, the Bandung cigarette consumption and the factors suspected to affect, ie sex, age, work status, and education, will be modeled by Hurdle-NB regression. The results showed that Log model, age variable, work status, and education influence to the average of cigarette consumption. While on Logit model, gender variable, age, work status, and education have an effect on the tendency of someone to smoke or not.
Pemetaan Heterogenitas Kesulitan Usaha Industri Mikro dan Kecil Menurut Kelompok KBLI di Indonesia dengan Analisis Korespondensi Dina Prariesa
Seminar Nasional Official Statistics Vol 2026 No 1 (2026): Seminar Nasional Official Statistics 2026
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2026i1.2680

Abstract

Micro and small industries (MSIs) exhibit diverse business characteristics, resulting in different patterns of business difficulties across industry groups. This study aims to identify the heterogeneity of business difficulties among MSIs across Indonesian Standard Industrial Classification (KBLI) groups using Correspondence Analysis (CA). The study uses weighted data from the 2024 Micro and Small Industry Survey (VIMK), conducted by Statistics Indonesia (BPS), to represent national conditions. The analysis covered 23 KBLI groups and six types of business difficulties. The Chi-square test indicated a significant association between KBLI groups and types of business difficulties (p < 0.001), while the first two dimensions of the CA explained 77.91% of the total inertia. The correspondence analysis showed that raw materials, infrastructure, and marketing were the main contributors to the association structure, indicating heterogeneous patterns of business difficulties across industry groups. These findings provide insights into industry-specific difficulties faced by Indonesian MSIs.