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All Journal ETNOSIA : Jurnal Etnografi Indonesia Journal of Scientific Insights
Subair, Nurlina
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Arts Humanities Education Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Livelihood strategies for widows and divorcees of coastal fishers in Indonesia Subair, Nurlina; Pidani, Rita R.; Meiyani, Eliza; Haris, Risma; Irma, Irma
ETNOSIA : Jurnal Etnografi Indonesia Vol. 8 No. 1 (2023)
Publisher : Department of Anthropology, Faculty of Social and Political Sciences, Hasanuddin University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31947/etnosia.v8i1.25788

Abstract

In Bugis-Makassar families with a patriarchal cultural system, men are the backbone of the family and women only work in the domestic realm. The main problem faced by widows and divorcees of coastal fishers is the dual role that requires them to take care of the household and children as well as earn a living for the needs of the family. This dual function requires a widow to have a strategy and carry out these two roles simultaneously. This study aims to find out how the strategies for making a living for widows of coastal fishers in improving the family economy. This study uses a qualitative approach with case study method. The data collection technique uses a purposive sampling for determining the informant and conducting in-depth interview technique with eight widows consisting of four widows and four divorcees. We also observed the daily activities of the informants. Meanwhile, the interview process was carried out using semi-structured interviews about how the strategy for earning a living was carried out so that it could support the family economy. The study found social capital-based livelihood strategies for poor fishers. They often interpret the strategy as a way or an alternative to a situation. In this case, the widow or divorcee of a coastal fisher is part of the community. Widows and divorcees who work in more than one type of work make their association with others as a form of social capital. Thus, they can provide support to each other as aform of social security and  social capital to support the family.
Empowering Indonesian Adolescents Through Digital Health Literacy: A Predictive Model for Breast Cancer Prevention Education Aligned with SDG 3 Irma, Irma; M.Sallo, Andi Kamal; Marlina, Marlina; Subair, Nurlina
Journal of Scientific Insights Vol. 2 No. 5 (2025): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i5.508

Abstract

Indonesia faces unique challenges with breast cancer affecting younger populations, necessitating early health literacy interventions among adolescents to achieve SDG 3.4 targets. To develop a predictive model identifying determinants of breast cancer literacy among Indonesian adolescents. A cross-sectional study was conducted from March-June 2025 in West Sulawesi Province. The sample comprised 58 female adolescents (ages 14-17) from high schools (n=26, 44.8%) and vocational schools (n=32, 55.2%). Data collection utilized validated online surveys measuring ten breast cancer literacy indicators. Binary logistic regression with backward elimination was performed using SPSS 25.0. Overall, 56.9% (n=33) demonstrated inadequate literacy levels, with only 43.1% (n=25) achieving adequate levels. Critical knowledge deficits were found in prevention strategies (1.7% correct) and risk factor identification (37.3% correct), contrasting with high awareness of medical follow-up procedures (96.6% correct). The logistic regression model (Nagelkerke R²=0.618, Hosmer-Lemeshow p=0.512) identified four significant determinants: enrollment in high schools versus vocational schools (OR=4.3, 95% CI: 1.27-14.55, p=0.019), healthcare provider information sources (OR=7.3, 95% CI: 1.44-10.46, p=0.016), digital learning media utilization (OR=3.4, 95% CI: 1.13-10.46, p=0.031), and frequent health information-seeking behavior (OR=3.4, 95% CI: 1.01-11.66, p=0.048). This model enables targeted resource allocation for cancer prevention strategies supporting SDG 3.4, potentially reducing premature mortality through enhanced early detection behaviors among Indonesia's future generations.
Co-Authors Andi Kamal M. Sallo Irma Irma Irma Irma Marlina Marlina Meiyani, Eliza Pidani, Rita R. Risma Haris