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Kesejahteraan Rumah Tangga dalam Pengaruh Wanita Kepala Rumah Tangga Utomo, Agung Priyo; Rahani, Rini
Jurnal Ilmu Sosial dan Ilmu Politik Vol 17, No 2 (2013)
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1.795 KB)

Abstract

This study focused on the welfare of the household headed by a working widow, viewed through the assets and the quality of their residence. Household welfare level is based on the wealth index. Ordinal logistic regression analysis show that level of education, age and employment status significantly influence the level of wealth of households headed by them. The higher the educational level of a widow, the household will tend to be richer. The older widows, the smaller tendency to have poor household. Households headed by widows who work in the agricultural sector, have a greater tendency to get a lower level of wealth status compared with who work in the non-agricultural sector.
INCORPORATING COMPLEX SURVEY DESIGN FOR ANALYSING THE DETERMINANT OF WOMEN IN REPRODUCTIVE AGE PARTICIPATION IN FAMILY PLANNING PROGRAM IN INDONESIA Astuti, Erni Tri; Rahani, Rini; Pramana, Setia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1401-1410

Abstract

Data generated from complex survey are often treated as un-weighted simple random samples by analyst. This is unfortunate because everyone has different probability to be selected as sample in each stage of the complex survey design. Fail taking it into account will have serious impact in parameter and variance estimation. This paper aims to examining relationship between participation in family planning program and socio demographic status of women in reproductive age in Indonesia used data from latest Indonesian’s Demographic and Health Survey (IDHS). IDHS employs a multi stage stratified sampling design, thus there are a number of weights included in public-use IDHS datasets to account for this complex sample design. We found that the complex design features of the IHDS increased the variance estimates of the estimated parameters in the logistic regression models by about 1.325 – 1.88 times, compared to a simple random sampling. Therefore, using variance estimated from un-weighted simple random samples would lead to wrong conclusion of the significance parameter suggested by the model. The result also found that all of socio demographics variables used as predictors are significant. Thus, women with moderate education, unemployment, exposed by media, living in rural community and wealthy, have spouse that have moderate education and have a job tend to participate in family planning program.
Partisipasi Kerja Disabilitas pada Sektor Informal di Pulau Jawa Tahun 2021 Sirait, Finer Mayland; Rahani, Rini
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.449

Abstract

Persons with disabilities are vulnerable group and often face challenges in accessing inclusive and equal employment. Most persons with disabilities work in informal sector which identic with the absence of guaranteed work contracts, guaranteed wages, guaranteed pensions, health insurance and other benefits. This condition was increasingly not ideal during the COVID-19 pandemic related to the 2021 Imposition of Restrictions on Community Activities (PPKM) policy. This study aimed to find out the general description and prevalence of workers with disabilities based on the work sector, examine the influence and tendency of individual and regional variable categories on the persons with disabilities participation in the informal sector in Java in 2021 using a multilevel logistic regression model. The data used was the August 2021 Sakernas raw data and publications of Ministry of National Development Planning and the National Commission on Disabilities. Results showed that multilevel binary logistic regression fitted for modelling the individual and regional variables effect on the work participation of persons with disabilities in informal sector. Individual variables (gender, age, highest education, and job training) and regional variables (the Employment to Population Ratio (EPR) of persons with disabilities) significantly affected the participation of persons with disabilities in the informal sector.
Faktor-Faktor yang Memengaruhi Status Setengah Penganggur di Sulawesi Barat Tahun 2022 Achmad, Farchany; Rahani, Rini
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.450

Abstract

Underemployment is a condition of employment where workers work less than 35 hours and are still looking for work or willing to accept work. The Underemployment Rate in West Sulawesi was the second highest with the most significant increase compared to other provinces. This study aimed to describe the overview of Underemployment Status, the effect of individual and regional variables and their tendencies on Underemployment Status in West Sulawesi Province using Sakernas raw data in August 2022, welfare statistics and Sulawesi Barat Province in Figure 2023. The statistical method used was multilevel binary logistic regression analysis with random intercept. The results showed that Male workers, aged 15-24 years, having partner status, having at least high school or equivalent education, working in the informal sector, working in the agricultural field, being head of household, and living in rural areas had higher tendencies of being underemployed. The decline of job availability in West Sulawesi caused highly educated workers to be more likely to be underemployed than those with lower levels. At the regional level, only the UMK did not influence unemployment status. Meanwhile, the low morbidity rate was statistically significant in decreasing the underemployment rate in West Sulawesi.
ANALISIS VARIABEL-VARIABEL YANG MEMENGARUHI PERTUMBUHAN INKLUSIF DALAM MENDUKUNG PENCAPAIAN PRIORITAS PEMBANGUNAN SUMATERA SELATAN Achmad Choirul Huda; Rahani, Rini
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 9 No 1 (2025): Vol. 9 No. 1, Mei 2025
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v9i1.514

Abstract

Inclusive growth is crucial for ensuring that economic growth is followed by poverty, inequality, and unemployment reduction. Despite experiencing high economic growth, South Sumatra still faces poverty, inequality, and employment. Therefore, the government has prioritized achieving inclusive growth as the first goal of the Regional Medium-Term Development Plan (RPJMD). This research aimed to assess the inclusive growth of cities in South Sumatra using an index developed by Ramos, Ranieri, and Lammens. Panel data regression was used to analyze the variables influencing the inclusive growth index in alignment with the strategies and policies of the RPJMD. The data used in this study was compiled from Badan Pusat Statistik, Bank Indonesia, and Kemendikbudristek. The results indicated that growth inclusiveness fluctuated from 2018 through 2022. The industry productivity, the ratio of hospitals and health centres to the total population, the ratio of the number of schools to the school-age population, and the percentage of the population with internet access had a significant effect on the inclusive growth index in South Sumatra. The government need to focus on developing leading sectors and improving access to healthcare and education to achieve inclusive growth.