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Journal : Jurnal Informatika Ekonomi Bisnis

Determinan Wirausaha Penyandang Disabilitas di Indonesia: Analisis Kelompok Sektor Primer, Sekunder dan Tersier Rahimi, Nina; Tan, Firwan; Bachtiar, Nasri
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 4 (December 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i4.658

Abstract

This research contains an analysis of opportunities for entrepreneurs with disabilities in Indonesia. With a focus on self-employment in three business sector groups (primary, secondary, and tertiary sectors) which aims to answer the question of how the description and determinants of entrepreneurial opportunities for persons with disabilities in Indonesia. This study uses data sourced from the August 2020 National Labor Force Survey (Sakernas) with a total sample of 34,546 respondents with working disabilities consisting of 19,253 respondents in the primary sector, 11,213 respondents in the secondary sector and 4,080 respondents in the tertiary sector. By using the binary logistic regression analysis method, it was found that education, job training, internet access, government policies, and disability classification have a significant effect on the opportunities for entrepreneurs with disabilities in Indonesia in the tertiary sector. In the secondary sector, the entrepreneurial opportunities for persons with disabilities are significantly influenced by work experience, gender, age, location of residence, and disability classification. Meanwhile, in the primary sector, gender, age, internet access, location, and disability classification have a significant effect on the entrepreneurial opportunities of persons with disabilities.
Analisis Faktor-Faktor yang Mempengaruhi Partisipasi Angkatan Kerja Wanita di Berbagai Konteks Sosial dan Geografis di Indonesia Iffah, Nisa Al; Bachtiar, Nasri
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 4 (December 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i4.927

Abstract

In 2021, the male labor force participation rate in Indonesia will reach 85.21%, while female participation is only 62.63%, showing a gap of 22.58%. This research describes the factors that influence female labor force participation in Indonesia using human capital theory, labor supply theory, and labor Leisure Choice theory. Using the logit method and Sakernas data for August 2021 (sample 393,359 people), it was found that education level, certified training, marital status, ownership of health insurance, and work experience had a significant effect on female labor force participation. Education and training levels weaken positively with increasing work participation. Marital status and possession of health insurance also made positive contributions, indicating the role of social support and financial security. However, the number of working hours and regional classification of residence negatively influenced participation, limiting the challenges of women with high workloads or living in areas with limited economic accessibility. These findings underscore the complexity of factors influencing women's labor force participation in various social and geographic contexts in Indonesia.
Dilema Karir dan Keluarga: Partisipasi Kerja Perempuan Menikah di Indonesia Fajri; Bachtiar, Nasri; Kamarni, Neng
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.951

Abstract

Women's participation in the workforce is crucial for driving economic growth. Empowering women economically is key to combating poverty by providing access to and control over resources needed to earn a sustainable and long-term livelihood. The data used in this research is sourced from the 2022 National Socioeconomic Survey published by the Indonesian Central Bureau of Statistics. The research approach is quantitative, with data analysis employing binary logistic regression. The results of the study indicate that the factors suspected to influence the labor force participation of married women in Indonesia have a significant overall effect. The variable of household size has a significant negative effect, meaning it tends to reduce the probability of married women participating in the labor market. Conversely, the variables of education, age, status, Family Hope Program, region, credit ownership, and motorbike ownership have significant positive effects, meaning they tend to increase the probability of married women participating in the labor market.