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All Journal Prosiding Seminar Nasional Official Statistics JOSAR (Journal of Students Academic Research)
Bachtiar, Bayu Aji
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Penyerapan Tenaga Kerja Sektor Pertanian Tanaman Pangan pada Generasi Z Bachtiar, Bayu Aji; Haq, Fika Sabila; Janah, Maidatul; Amalia, Novi Rizqi; Novaldi, Jeremia; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1706

Abstract

The agricultural sector is one of the economic sectors that has a role in meeting food needs. The sustainability and development of agriculture certainly requires the contribution of generation Z who is the next generation of the nation. But this seems a little difficult considering that the employment of the agricultural sector is declining, especially in generation Z. Therefore, it is important to know what factors cause generation Z to no longer choose the agricultural sector as their main job and how these factors are related between provinces in Indonesia. The labor absorption of a region is influenced by other regions, meaning that there is spatial autocorrelation, so spatial analysis is carried out. The model used is Spatial Error Model (SEM), because there is dependency between dependent variables and there is error correlation between regions. The results of the analysis show that GDP per capita in the agricultural sector, land area, and average years of schooling have a significant effect on the number of workers in the agricultural sector. In contrast, the gender dominance of a region, and the Farmer Exchange Rate have no significant effect.
The Influence of Socio-Economic Variables on Environmental Quality in Java Island in 2023: Application of Spatial Dependency Model Regression Bachtiar, Bayu Aji; Erawanto, Udin
JOSAR (Journal of Students Academic Research) Vol 10 No 1 (2025): March
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/josar.v10i1.4288

Abstract

Java Island is one of the regions in Indonesia with low environmental quality. The high population and economic activities that do not pay attention to the environment cause environmental damage in districts in Java Island. Environmental damage caused by pollution and waste can spread to other surrounding areas. This study aims to examine the influence of socio-economic factors on environmental pollution in Java Island using a spatial analysis approach. The analysis method used is SEM. The results of the analysis show that the variables of GRDP at Constant Prices for industrial sector, Human Development index (HDI), urbanization rate, and other factors in neighboring districts significantly reduce the quality of the environment in districts. The results of this study are expected to be a reference for the government in carrying out economic development and improving Human Resources (HR) by prioritizing sustainable development
Negative Binomial Regression Modeling in the Analysis of Malnourished Under-Five Children in Central Java in 2023 Bachtiar, Bayu Aji; Erawanto, Udin
JOSAR (Journal of Students Academic Research) Vol 10 No 2 (2025): September
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/josar.v10i2.4651

Abstract

Toddlers in Indonesia are an age group that is vulnerable to the impacts of malnutrition. Central Java Province is the province with the highest number of cases of malnutrition in toddlers in Java, namely 9525 cases of malnutrition during 2023. This study aims to analyze the variables that influence malnutrition in Central Java Province in 2023. The data used are secondary data in 2023sourced from the Badan Pusat Statistik (BPS), Central Java Provincial Health Service, and Badan Panga Nasional (BPN). The analysis method used is negative binomial regression for modeling enumeration data to overcome the problem of overdispersion in Poisson regression. The results of the analysis show that there is a negative influence of the variables of the percentage of households with access to proper sanitation, the food security index, and the percentage of babies receiving exclusive breastfeeding on the number of cases of malnutrition in toddlers. Meanwhile, the proportion of women aged over 15 years who have a maximum junior high school diploma has an effect on increasing cases of malnutrition in toddlers.
Co-Authors Amalia, Novi Rizqi Budiasih Budiasih Erawanto, Udin Haq, Fika Sabila Janah, Maidatul Novaldi, Jeremia