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DETERMINAN STATUS KEMISKINAN ANAK PADA RUMAH TANGGA KRT PEREMPUAN DI PROVINSI BENGKULU 2018 Karina Nur Fadila; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Child poverty is a serious problem. One of the factors that affect it is the sex of the headed-household. Children with female-headed households tend to be more at risk of poverty than children with male-headed households. This is caused by the social assumption that women are a second class society so in the world of work, they don’t have the same opportunities as men. Bengkulu Province was a province in the western region of Indonesia with the highest child poverty rate in 2016 so that it becomes the focus of this study, whereas this study aims to determine the general picture, identify the factors that affect, and analyze the tendency of independent variables on the poverty status of children with female headed-household in Bengkulu Province in 2018. The data used in this study is the results from the practical work of Politeknik Statistika STIS students in 2018. Using the binary logistic regression analysis method, it’s known that the education of household heads, employment status of household heads, number of household members, and marital status of household heads have significant effect on child poverty with female-headed household in Bengkulu Province in 2018. The tendency is greater for children with the highest education of household heads are under senior high school, household heads work in the agricultural sector, have a large number of household members, and the marital status is marriage.

POLA HUBUNGAN KARAKTERISTIK INDIVIDU DAN ORANG TUA TERHADAP KEJADIAN PNEUMONIA BALITA DI RIAU TAHUN 2018 I Made Giri Suyasa; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Pneumonia menjadi penyebab mortalitas tertinggi pada balita di Indonesia pada tahun 2018 menurut UNICEF. Salah satu faktor risiko yang erat kaitannya terhadap kejadian pneumonia balita yaitu perilaku merokok anggota ruta yang keterpaparannya dinamakan Environmental Tobacco Smoke (ETS). Riau merupakan provinsi dengan peningkatan tertinggi perilaku merokok wanita dan persentase keterpaparan asap rokok di dalam rumah yang tergolong tinggi. Tujuan penelitian ini yaitu mengkaji pengaruh pola asosiasi dari faktor risiko terhadap kejadian pneumonia pada balita. Data yang digunakan yaitu data RISKESDAS 2018 dengan menggunakan analisis loglinear dan analisis logit menjadi alternatif dalam menganalisis permasalahan tersebut. Hasil yang didapatkan yaitu terdapat pola hubungan langsung dan tidak langsung atau hubungan bersyarat terhadap kejadian pneumonia. Pola hubungan langsung terhadap kejadian pneumonia pada balita yang diperoleh yaitu tingkat pendidikan ibu, status pemberian vitamin A, dan status merokok anggota ruta. Sedangkan pola hubungan bersyarat yang diperoleh yaitu beberapa interaksi yang melibatkan tingkat pendidikan ibu, status BBLR, pemberian vitamin A, dan status merokok anggota ruta. Berdasarkan pola asosiasi yang terbentuk, interaksi yang melibatkan pendidikan ibu dan status BBLR dengan pemberian vitamin A maupun status merokok terbukti signifikan terhadap kejadian pneumonia pada balita.

PENERAPAN REGRESI COMPLEMENTARY LOG-LOG DALAM ANALISIS KEMISKINAN ANAK DI DAERAH PERKOTAAN DI PROVINSI BENGKULU TAHUN 2018 Maria Megachita da Silva; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Child poverty is a problem that needs special attention, considering that children are the future generation of the nation. Child poverty is closely related to household poverty. Through a monetary approach, a child aged 0-17 years is said to experience poverty if he lives in a household with average per capita monthly expenditure below the poverty line. The locus of this research is Bengkulu Province, based on finding that the level of child poverty in Bengkulu Province is highest among the provinces on Sumatra Island in 2016. This research is more focused on analyze child poverty in urban areas. This study uses data from the Field Work Practice of Politeknik Statistika STIS Academic Year 2017/2018 held in Bengkulu Province. The analytical method used is nonlinier regression with complementary log-log link function with backward elimination. The results of the analysis show that children who live with household heads are younger, with the education of household heads who are graduated below high school, children who live in households that are more than four household members, and children who live in households that are not having saving behavior is riskier to experience child poverty.

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif Agriyandi Rizaldi; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Unemployment is an actual problem in employment in Indonesia. In 2019, the number of unemployment in Indonesia was 7,10 million people, 56,02 percent or 3,98 million of whom were the young age group (15-24 years old). Youth unemployment indicates a waste of limited human resources that can hinder potential economic growth. In addition, it also has an impact on the social environment, such as crime, health problems, and poverty. East Java was the province with the second highest number of youth unemployment in Indonesia as many as 478.478 people, even though the economy showed good growth, even better than the national economic growth during 2015-2019. This study aims to analyze the variables that affect the number of youth unemployment in East Java Province in 2019. The data used are Sakernas August 2019 (backcasting). The analytical method used is negative binomial regression because it can overcome overdispersion problem in Poisson regression. The results of analysis showed that there was significant effect of the variable regional minimum wage, labor absorption in agricultural and manufacturing sector, economic growth, and APK SMA on the number of youth unemployment. Meanwhile, variable percentage of young workforce who graduate high school/equivalent and invesment had no significant effect on the number of youth unemployment.

Pengelompokan Kabupaten/Kota di Pulau Jawa Berdasarkan Kondisi Sosial Ekonomi Sebelum dan Setelah Memasuki Pandemi COVID-19 Shela Yulfia Hadist; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Indonesia's economic outlook has turned significantly weaken due to the declaration of the COVID-19 pandemic. Indonesia's economic structure in 2020 spacially dominated by the Java group provinces, contributing 58.75 percent to the national total GDP. COVID-19 pandemic has had the greatest socio-economic impact, particularly on densely populated areas due to the incessant of social restrictions, including the island of Java, the center of the Indonesian economy. This is indicate that if the economy of Java is contracted, the Indonesian economy will also be contracted. This study aims to analyze the socio-economic description of groupings economic in Java before and after into the COVID-19 pandemic based on the variables of economic growth, open unemployment rate, number of workforces, number of leading sectors, per capita expenditure, and percentage of poor people, and compare it before and after entering pandemic using the Cluster Ensemble method. The results obtained indicate that there are economic growth and the number of leading sectors in Java are deteriorating. This study also found that the number of unemployment rate, workforces, poor people, and per capita expenditure, is increasing after facing the COVID-19 pandemic. In the 3 clusters formed in 2019 and 5 clusters formed in 2020, it is generally found that the grouping of each cluster was not significantly different, but there were some differences in the characteristics and members of the cluster.

Penerapan Model Regresi Data Panel: Determinan PDRB Sektor Unggulan di Provinsi Riau Tahun 2015-2019 Ali Imran Mansyur; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

The economic components consist of several sectors, each sector contributes differently. Lot of sectors made it necessary to do analysis to overview the leading economic sectors whose potential can be increased to improve the economy of Riau Province. This study aims to find out the leading sector in Riau Province and provide the overview and variables that affect the regional income of the leading sector in Riau Province in 2015-2019. With overlay analysis, which is a combination of Location Quotient Analysis and Capital Ratio Analysis, the leading sectors in Riau Province are agricultural and manufacturing sectors. By using Panel data regression with fixed effect model, the result shows that agricultural labor force, agricultural sector inflation, and agricultural land area have a significant effect, while the road length has no significant effect on the GDP of agricultural sector. Meanwhile, manufacturing labor force, manufacturing sector inflation and the number of establishment have a significant effect, while the road length has no significant effect on the GDP of manufacturing sector in Riau Province in 2015-2019.

Ketimpangan Pendapatan dan Determinan PDRB Per Kapita Kabupaten/Kota di Pulau Sulawesi Tahun 2017-2020 Azzahra Zauza Inniswa Rahmadhana; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Income inequality is a crucial problem which is common in developing countries. Sulawesi is known to have various conditions of inequality between regions. The high variations of inequality in Sulawesi is the basis for importance of this research which aims to examine the general description of regional income inequality and per capita GRDP of districts/cities in Sulawesi for the 2017-2020 period, also examine the determinant of per capita GRDP in Sulawesi regions, taking into account spatial heterogeneity. Empirical results shows that there is spatial heterogeneity of per capita GRDP in 81 regions in Sulawesi. Using Geographically Weighted Panel Regression with Kernel Adaptive Exponential and 95% level of winsorize, average length of school and labor productivity significantly increase per capita GRDP in 80 and 54 regions, respectively. Open Unemployment Rate significantly decrease per capita GRDP in 40 regions, while population growth significantly decrease per capita GRDP in 37 regions.

Penerapan Regresi Robust dengan Estimasi-MM dalam Analisis Pengeluaran Internet Rumah Tangga di Provinsi Nusa Tenggara Timur Tahun 2021 Muhammad Rhevanza Kusnadi; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The development of information and communication technology has caused very significant changes to become one of the basic human needs in carrying out their daily lives. With the development of the information and communication technology sector, household spendings will increase to meet the needs of the internet. This research uses descriptive analysis method and robust regression analysis of MM estimation. The data used in this study comes from the March 2021 Susenas core and consumption and expenditure modules. From the robust regression results, the average household internet contest is Rp 98,970.74 with a total contribution of 2.27 percent to the total household contest. In general, internet households of school age in East Nusa Tenggara are in rural areas, the last education of the head of the household is less than high school, has a very high household income category, or has less than 4 household members using the internet. person. The amount of household internet expenditure has a significant effect on household income, the last education of the head of the household, the number of household internet users, and the area of residence.

Analisis Kemiskinan di Pulau Jawa Saat Pandemi Covid-19 Tahun 2020 dengan Metode Geographically Weighted Regression (GWR) Sylvia Agatha Gultom; Agung Priyo Utomo
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

The Covid-19 pandemic has brought Indonesia's poverty reduction trend to a halt. The implementation of the PSBB policy to prevent the massive spread of the Covid-19 virus turned out to have resulted in an increase in the poverty rate in 2020. As the center of the spread of the virus, the island of Java was most affected. Therefore, this study aims to analyze the conditions of poverty before and during the Covid-19 pandemic and to find out the factors that affect poverty during the Covid-19 pandemic on the island of Java. The dependent variable used is the percentage of poor people, while the independent variables are economic growth, TPT, HDI, and the percentage of informal workers. The analysis was carried out using the Geographically Weighted Regression (GWR) method. The results of the analysis show that before the pandemic, the majority of Java Island had moderate poverty status, but in 2020 the majority were in high status. From the test results obtained that the GWR model is better than the RLB model. The partial test of local coefficients shows that economic growth has a positive and negative effect, TPT and the percentage of informal workers have a positive effect, while HDI has a negative effect on poverty.

Bahasa Inggris Ria Septiana; Agung Priyo Utomo
Jurnal Ketenagakerjaan Vol 20 No 2 (2025)
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v20i2.547

Unemployment is an economic problem that triggers social impacts such as crime and poverty. In 2024, Java Island recorded the highest rate of educated youth unemployment compared to other islands, particularly in urban areas. This is a critical issue, as educated young people are a vital asset in a nation’s economic development, whose potential can be harnessed to achieve Indonesia’s vision for 2045. Therefore, the objective of this study is to examine the general status of unemployment among educated youth, as well as the influence of individual and regional factors on unemployment among educated young people in urban areas of Java Island in 2024. This study utilizes data from the National Labor Force Survey (Sakernas), August 2024 Labor Force Conditions Publication, and the 2025 District/City in Figures Publication. A two-level binary logistic regression analysis was employed to examine the individual and contextual factors influencing the unemployment status of educated youth in urban areas. The findings indicate that the labor force that has never participated in certified training and resides in areas with a large labor force has a greater risk of being unemployed. Therefore, this study is expected to assist the government in formulating policies to minimize youth unemployment, particularly among those with at least a high school education or its equivalent in urban areas of Java Island.

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