https://www.journalsocialsciences.com/index.php/oaijss/issue/feedOpen Access Indonesia Journal of Social Sciences2026-06-02T06:34:37+00:00HM Publisherindonesiajournalsocialsciences@gmail.comOpen Journal Systems<p style="text-align: justify;"><strong>Open Access Indonesia Journal of Social Sciences </strong> is a peer-reviewed journal. <strong>Open Access Indonesia Journal of Social Sciences</strong> is intended to publish articles concerning with the results of research on social sciences and political sciences. <strong>Open Access Indonesia Journal of Social Sciences</strong> is published by <a href="https://cattleyacenter.id/" target="_blank" rel="noopener">CMHC (Research & Sains Center)</a> and <a href="https://cattleyapublicationservices.com/hanifmedisiana/" target="_blank" rel="noopener">HM Publisher</a>. <strong>Open Access Indonesia Journal of Social Sciences</strong> has eISSN : <a href="https://issn.brin.go.id/terbit/detail/1586996331" target="_blank" rel="noopener">2722-4252</a>. OAIJSS also has <a href="https://portal.issn.org/resource/ISSN/2722-4252#" target="_blank" rel="noopener">International ISSN 2722-4252</a>.</p> <p style="text-align: center;"><a href="https://issn.lipi.go.id/terbit/detail/1586996331" target="_blank" rel="noopener"><br></a><a href="https://portal.issn.org/resource/ISSN/2722-4252#" target="_blank" rel="noopener"><img src="/public/site/images/admin/road.png" width="211" height="70"></a></p> <p><strong>Open Access Indonesia Journal of Social Sciences</strong> is a premier, peer-reviewed, open-access journal dedicated to advancing the frontiers of knowledge across the social and political sciences. We aim to disseminate rigorous, innovative, and impactful research that addresses contemporary societal challenges and sheds light on the complex dynamics of human interaction, governance, and social transformation. While we provide a specific focus on Indonesia as a critical locus of analysis, we enthusiastically welcome comparative studies and groundbreaking research from across the Global South and the wider global context.</p> <p> </p> <p style="text-align: justify;"> </p>https://www.journalsocialsciences.com/index.php/oaijss/article/view/320Algorithmic Management, Perceived Precarity, and Collective Identity Formation Among Indonesian Gig Economy Workers2026-05-28T09:23:28+00:00Darlene Sitorusdarlene.sitorus@enigma.or.idBenyamin Wongsobenyamin.wongso@enigma.or.idHenrietta Noirhenrietta.noir@enigma.or.id<p style="font-weight: 400;">This cross-sectional study examines the relationships between algorithmic management intensity, perceived precarity, digital literacy, and social identity transformation among Indonesian gig economy workers (n=324). Drawing on social identity theory and precarious work frameworks, we investigate how platform-mediated algorithmic control systems affect collective identity formation processes in one of Southeast Asia’s largest digital labor markets. Participants were recruited from ride-hailing (n=128), food delivery (n=112), and freelance digital service (n=84) platforms in Jakarta and Surabaya. Four validated instruments measured algorithmic management intensity (16 items, α=0.89), perceived precarity (12 items, α=0.86), social identity transformation (20 items, α=0.91), and digital literacy (8 items, α=0.84). Hierarchical multiple regression analysis revealed that the combined model explained 41.8% of variance in social identity transformation (R²=0.418, Adjusted R²=0.395, F(15,308)=14.78, p<0.001, Cohen’s f²=0.718). The strongest predictors were automated deactivation threat (β=-0.385, p<0.001), performance rating pressure (β=-0.318, p<0.001), algorithmic surveillance (β=-0.267, p<0.001), and income instability (β=-0.209, p<0.001). Digital literacy emerged as a significant protective factor (β=0.198, p<0.001), suggesting that workers with greater digital competencies maintain stronger collective identities despite algorithmic pressures. These findings extend social identity theory to platform labor contexts and demonstrate that algorithmic management systems fundamentally disrupt traditional mechanisms of collective identity formation, with implications for worker organizing, platform governance, and labor policy in developing digital economies.</p>2026-05-26T14:25:38+00:00Copyright (c) 2026 Darlene Sitorus, Benyamin Wongso, Henrietta Noirhttps://www.journalsocialsciences.com/index.php/oaijss/article/view/321Association Between Spatial Justice Indicators and Perceived Quality of Life Among Residents of Post-Industrial Urban Neighborhoods in Palembang, Indonesia2026-05-29T13:32:11+00:00Christian NapitupuluNapitupulu@gmail.comVita Amandavitaamandava@gmail.comAylin YermekovaYermekova@gmail.com<p>Urbanization and post-industrial transitions have created spatial inequities that may influence residents’ quality of life (QoL). This cross-sectional analytical study examined the association between spatial justice indicators and perceived quality of life among 384 adult residents from three post-industrial neighborhoods (Area A, Area B, and Area C) in Palembang, South Sumatra, Indonesia. Data were collected using validated questionnaires measuring spatial justice indicators (green space access, healthcare access, public transport access, community center access), neighborhood safety, social cohesion, governance participation, and perceived QoL using an adapted WHO Quality of Life Brief instrument. Among the 384 respondents (mean age 42.0 ± 11.0 years; 50.3% female), 289 (75.3%) reported good QoL. Multivariate logistic regression revealed that high spatial justice index (aOR=3.49; 95% CI: 2.25–5.43; p<0.001), high governance participation (aOR=2.59; 95% CI: 1.85–3.62; p=0.002), green space access (aOR=2.12; 95% CI: 1.63–2.76; p=0.004), healthcare access (aOR=2.01; 95% CI: 1.57–2.58; p=0.007), neighborhood safety (aOR=1.85; 95% CI: 1.32–2.60; p=0.003), and social cohesion (aOR=1.68; 95% CI: 1.18–2.39; p=0.012) were significantly associated with good QoL. The Hosmer–Lemeshow test (p=0.684) and Nagelkerke R²=0.348 confirmed adequate model fit. Spatial justice indicators, particularly green space and healthcare accessibility, governance participation, and neighborhood safety, were independently associated with better perceived QoL in post-industrial communities</p>2026-05-29T13:31:45+00:00Copyright (c) 2026 Christian Napitupulu, Vita Amanda, Aylin Yermekovahttps://www.journalsocialsciences.com/index.php/oaijss/article/view/323Association Between Eco-Anxiety and Civic Engagement Among University Students in Jakarta: The Moderating Role of Institutional Trust2026-05-30T01:19:18+00:00Aman Suparmanaman_suparman@gmail.comZahra Amirzahra.amir@cattleyacenter.idErvin MunandarMunandar@gmail.com<p>Climate change has emerged as one of the most pressing global challenges, generating widespread psychological distress among younger populations. This cross-sectional study examined the association between eco-anxiety and civic engagement among 412 university students recruited from three universities (University A, University B, and University C) in Jakarta, Indonesia, and investigated the moderating role of institutional trust. Data were collected using validated questionnaires measuring eco-anxiety, civic engagement, institutional trust, environmental organization membership, social media exposure, self-efficacy, and demographic variables. Among the 412 respondents (mean age 21.3 ± 2.1 years; 55.3% female), 137 (33.3%) demonstrated high civic engagement. Multivariate logistic regression revealed that institutional trust was the strongest predictor (aOR=5.82; 95% CI: 3.41–9.93; p<0.001), followed by environmental organization membership (aOR=4.27; 95% CI: 2.63–6.93; p<0.001), eco-anxiety (aOR=3.84; 95% CI: 2.31–6.38; p<0.001), self-efficacy (aOR=2.96; 95% CI: 1.82–4.81; p<0.001), and social media exposure (aOR=2.43; 95% CI: 1.47–4.02; p=0.001). The interaction between eco-anxiety and institutional trust was statistically significant (OR=1.42; 95% CI: 1.01–1.99; p=0.043). Stratified analysis showed that among students with high institutional trust and high eco-anxiety, 94.4% demonstrated high civic engagement compared to 33.3% among those with low trust and low eco-anxiety. The model demonstrated excellent discriminative ability (AUC=0.879) and adequate fit (Hosmer-Lemeshow p=0.538; Nagelkerke R²=0.42).</p>2026-05-30T01:19:09+00:00Copyright (c) 2026 Aman Suparman, Zahra Amir, Ervin Munandarhttps://www.journalsocialsciences.com/index.php/oaijss/article/view/322Nostalgic Collective Memory, Populist Rhetoric Exposure, and Social Transformation in Peri-Urban Communities of Palembang, South Sumatra, Indonesia: A Cross-Sectional Analytical Study2026-06-02T04:43:28+00:00Firzan Dahlanfirzan.dahlan@enigma.or.idGrace Freya PurbaPurba@gmail.com<p>Nostalgic collective memory and exposure to populist rhetoric have emerged as significant sociocultural forces shaping contemporary social transformation in peri-urban areas of Southeast Asia. This cross-sectional analytical study examined the associations between nostalgic collective memory orientation, populist rhetoric exposure, and positive social transformation outcomes among 384 peri-urban residents in three purposively selected peri-urban sub-districts in a major city in South Sumatra, Indonesia. Participants were recruited through proportional stratified random sampling from sub-districts characterized by rapid urbanization and socioeconomic heterogeneity. They completed structured questionnaires assessing nostalgia levels (adapted 12-item scale, Cronbach alpha=0.82), populist rhetoric exposure (10-item scale), collective memory strength (8-item scale, alpha=0.78), community engagement, political trust, and perception of social transformation across six measured dimensions. Overall, 201 respondents (52.3%) perceived positive social transformation. Bivariate analysis demonstrated that high nostalgia levels were associated with 2.14-fold increased odds of perceiving positive social transformation (95% CI: 1.42-3.23; p=0.001), while high exposure to populist rhetoric was associated with 2.05-fold increased odds (95% CI: 1.36-3.09; p=0.001). Active community engagement was associated with 1.84-fold increased odds (95% CI: 1.22-2.77; p=0.004), and strong collective memory orientation was associated with 1.65-fold increased odds (95% CI: 1.10-2.48; p=0.016). Multiple logistic regression identified nostalgia level (AOR=1.89; 95% CI: 1.22-2.93; p=0.004), populist rhetoric exposure (AOR=1.76; 95% CI: 1.13-2.74; p=0.012), and community engagement (AOR=1.62; 95% CI: 1.05-2.50; p=0.029) as independent predictors. The model demonstrated moderate discriminative ability (AUC=0.735; Nagelkerke R²=0.187). These findings illuminate complex mechanisms through which nostalgic orientation, populist messaging, and community cohesion influence perceptions of social change in peri-urban Southeast Asian contexts.</p>2026-06-02T04:43:28+00:00Copyright (c) https://www.journalsocialsciences.com/index.php/oaijss/article/view/324Care Deficit Predictors Among Community-Dwelling Elderly in a Transnational Migration Area: A Cross-Sectional Analytical Study in a Coastal District of West Java, Indonesia2026-06-02T06:34:37+00:00Theresia Putri Sinagatheresia.ps@cattleyacenter.idAyesh Mahmoodayesh_mahmood@gmail.comMuhammad Faizmuhammad.faiz@enigma.or.id<p>This cross-sectional analytical study examined predictors of care deficit among 412 community-dwelling elderly persons aged 60 years and older in a labor-exporting district in West Java, Indonesia, an area characterized by high rates of international labor migration. Care deficit, defined as inadequacy in instrumental and social care activities necessary for maintaining independence and well-being in daily living, was present in 189 respondents (45.9%). Data were collected using structured questionnaires assessing care deficit via an 18-item validated scale, intergenerational solidarity via the six-dimensional Bengtson framework adapted to Indonesian context, and social support using the Medical Outcomes Study Social Support Survey. Family migration status, health insurance coverage, government program participation, chronic disease status, living arrangement, and age were also documented. Bivariate analysis revealed significant associations between care deficit and seven variables: intergenerational solidarity (OR 2.42, 95%CI 1.64–3.58), social support (OR 2.38, 95%CI 1.60–3.53), family migration (OR 2.19, 95%CI 1.48–3.24), chronic disease (OR 1.94, 95%CI 1.28–2.93), living arrangement (OR 1.91, 95%CI 1.27–2.87), health insurance (OR 1.90, 95%CI 1.28–2.83), and government program participation (OR 1.83, 95%CI 1.24–2.71). Multiple logistic regression identified five independent predictors: intergenerational solidarity (AOR 2.04, 95%CI 1.33–3.13), social support (AOR 1.91, 95%CI 1.24–2.94), family migration (AOR 1.87, 95%CI 1.22–2.87), chronic disease (AOR 1.61, 95%CI 1.03–2.52), and health insurance (AOR 1.58, 95%CI 1.02–2.45). The model demonstrated adequate fit (Hosmer-Lemeshow p=0.368), explained 21.4% of variance (Nagelkerke R²=0.214), achieved 69.2% classification accuracy, and yielded an AUC of 0.720. Findings highlight how transnational family structures reshape elderly care systems in resource-limited settings.</p>2026-06-02T06:34:37+00:00Copyright (c)