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All Journal Jurnal Sosial Ekonomi Pertanian Jurnal Kebijakan Kesehatan Indonesia Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Kebijakan Pembangunan Daerah (JKPD)
Tiodora Hadumaon Siagian
Politeknik Statistika STIS
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Environmental Science Public Health Social Sciences

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Mencari Kelompok Berisiko Tinggi Terinfeksi Virus Corona dengan Discourse Network Analysis Tiodora Hadumaon Siagian
Jurnal Kebijakan Kesehatan Indonesia Vol 9, No 2 (2020)
Publisher : Center for Health Policy and Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.29 KB) | DOI: 10.22146/jkki.55475

Abstract

Wabah Virus Corona penyebab penyakit COVID-19 yang bermula dari Wuhan, Provinsi Hubei, China terus menyebar ke banyak negara termasuk Indonesia. Jumlah kasus positif COVID-19  terus meningkat secara signifikan dan menyebar secara cepat di seluruh provinsi di Indonesia. Virus Corona memang dapat menginfeksi siapa saja namun beberapa kelompok orang memiliki tingkat risiko yang lebih tinggi untuk terkena Virus Corona hingga bisa membawa kepada kematian. Untuk itu studi ini berupaya mencari kelompok rentan terinfeksi Virus Corona dengan metode Discourse Network Analysis dengan data berbagai artikel kesehatan di media online. Hasil studi menunjukkan kelompok lansia, penderita penyakit kronis, perokok, penghisap vape, kaum pria dan orang bergolongan darah A termasuk kelompok rentan terinfeksi Virus Corona. Temuan ini diharapkan dapat menjadi catatan ilmiah bagi pemerintah, tenaga medis dan masyarakat untuk mempertimbangkan perbedaan kerentanan kelompok ini dalam upaya mitigasi dan perawatan pasien terinfeksi Virus Corona ataupun wabah virus lainnya yang sekerabat dengan Virus Corona.
Determinan Status Kemiskinan Rumah Tangga Pertanian di Provinsi Nusa Tenggara Timur Tahun 2021 I Gede Made Suwartana Dektana; Tiodora Hadumaon Siagian
Jurnal Sosial Ekonomi Pertanian Vol 19 No 1 (2023): Februari, 2023
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract The high percentage of poor households working in the agricultural sector in the province of East Nusa Tenggara (NTT) needs serious attention from the government, considering that the majority of NTT's population works in the agricultural sector. Therefore, it is crucial to study the determinants of the poverty status of agricultural households to provide input in overcoming the problem of poverty in NTT Province. By utilizing the March 2021 Socio-Economic Survey data and two analytical methods (descriptive and binary logistic regression), this study aims to obtain the characteristics of household heads who work in the agricultural sector and identify factors that influence poverty status of agricultural households in NTT Province. The results showed that the majority of household heads worked in the rice and secondary crops (71.8%), aged 40-59 years (52.13%), male (84.7%), graduated from elementary school/equivalent (42.41%), had less than 5 household members (53.34%), lived in rural areas (96.08%), and worked in informal sector (97.28%). While the results of binary logistic analysis showed that the variables that have a significant effect on the poverty status of the head of the agricultural household in NTT Province are place of residence, age of the head of the household, education level of the head of the household, number of household members, employment status of the head of the household, number of working hours of the head of household, have received credit assistance and have accessed the internet in the last three months. Keywords: Poverty Status; agricultural households; binary logistic regression; NTT
KARAKTERISTIK TENAGA KERJA INDONESIA MENJELANG ERA BONUS DEMOGRAFI Heryani Heryani; Tiodora Hadumaon Siagian
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 7 No 2 (2023): Vol. 7 No. 2, November 2023
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v7i2.352

Abstract

Based on the results of the 2020 population census, Indonesia's population is 275 million people. As many as 62.28 percent are productive age. This research will study the relationship between the peak of the demographic dividend and workforce characteristics. Data from the Statistics of Indonesia will be analyzed descriptively related to the data presented in the tables and graphs. The productive age population in Indonesia is more than 90 percent of the working population. This population is a population whose highest education is elementary school graduates and below. This will threaten Indonesia as it approaches the peak of the demographic dividend, expected to occur in 2030. Not only low education workforce but also business fields in the agricultural sector with self-employed status. Characteristics of Indonesia's poor characterize this phenomenon. In Indonesia's poor population, more than 50 percent of education is completed in elementary school and below. In addition, the primary source of income comes from the agricultural sector. To overcome this, the solution is for those with primary education to be forced to continue their formal education. However, training and courses can be provided to enhance their skills. The government also needs to increase employment opportunities for the Indonesian population.
ANALISIS KEMISKINAN DIGITAL KABUPATEN/KOTA DI PROVINSI BANTEN DI MASA PANDEMI COVID-19 Siska Futri; Tiodora Hadumaon Siagian
Jurnal Kebijakan Pembangunan Daerah Vol 6 No 2 (2022): Desember
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v6i2.210

Abstract

The Covid-19 pandemic that hit the world throughout 2020 has changed various aspects of life, especially in the use of Information and Communication Technology facilities due to changes in various human activities from offline to online. However, it turns out that there are still people who live with little or no access to technology (digitally poor). This study aims to calculate digital poverty according to Barrantes, its distribution and linkages to economic poverty in regencies/cities in Banten Province during the Covid-19 pandemic. The research method used is descriptive with data sourced from the BPS National Socioeconomic Survey in March 2020 and 2021. Data were analyzed using the digital poverty index and economic poverty index, as well as the GIS Quadrant. The results of the study show that in 2021 the digital poverty rate for districts/cities in Banten Province will generally decrease compared to the previous year. Two of the eight districts/cities in Banten have high digital poverty rates as well as high economic poverty rates, namely Pandeglang Regency and Lebak Regency. For this reason, the regional government of Banten province should be able to prioritize improvements to these two aspects in these two districts.
Co-Authors Heryani Heryani I Gede Made Suwartana Dektana Siska Futri