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Open Access Indonesia Journal of Social Sciences
Published by HM Publisher
ISSN : -     EISSN : 27224252     DOI : https://doi.org/10.37275/oaijss
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Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences
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Articles 262 Documents
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Community Dynamics and Policy Resistance as Determinants of Green Transition Adoption: A Cross-Sectional Study in Indonesian Cities Dwi Valinia Ivanka; Rheina Weisch Fedre; Sarah Armalia
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 1 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i1.318

Abstract

Rapid urbanization in Southeast Asian cities has intensified environmental pressures, yet the adoption of green transition practices remains uneven across communities. While individual-level determinants have been extensively studied, the contributions of community-level social factors remain poorly understood in developing urban contexts. This cross-sectional study examined determinants of green transition adoption (GTA) among 398 residents of four Indonesian cities—Surabaya, Semarang, Bandung, and Yogyakarta—between March and August 2024. Binary logistic regression with nine predictors revealed that Community Dynamics was the strongest predictor (AOR=2.87, 95% CI: 1.79–4.60, p<0.001), followed by Policy Resistance (AOR=2.18, 95% CI: 1.39–3.42, p<0.001) and Social Equity Perception (AOR=1.92, 95% CI: 1.23–3.00, p=0.004). Environmental Knowledge Score and Health Risk Perception were not significant in the multivariate model. The model demonstrated adequate discrimination (AUC=0.79) and calibration (Hosmer-Lemeshow p=0.548), explaining 32.6% of outcome variance. Mediation analysis revealed that 35% of the CD–GTA relationship operated through social equity perception (Sobel z=3.21, p=0.001). Community-level social cohesion and institutional legitimacy are more powerful drivers of green transition adoption than individual knowledge or risk perception.
Transnational Networks and Social Cohesion Among Climate-Displaced Populations: A Cross-Sectional Study in Coastal Indonesia Immanuel Simbolon; Desiree Montesinos; Jujuk Maryati
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 1 (2026): Open Access Indonesia Journal of Social Sciences
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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i1.319

Abstract

Climate-induced displacement in coastal Indonesia creates unprecedented challenges for affected populations seeking economic stability and psychological resilience. This cross-sectional analytical study examined the role of transnational networks, social cohesion, government support, and digital connectivity in climate adaptation success among 373 internally displaced persons (IDPs) across three coastal districts (Demak, Pekalongan, and Indramayu) in Central Java from January to June 2024. Using binary logistic regression, we assessed nine predictors of successful climate adaptation, defined as sustainable livelihood restoration and psychological well-being. Transnational Network Strength (TNS) emerged as the strongest predictor (adjusted odds ratio [AOR] = 2.58, 95% CI 1.59–4.18, p < 0.001), followed by Social Cohesion (AOR = 2.14, 95% CI 1.33–3.44, p = 0.002) and Government Support (AOR = 1.62, 95% CI 1.03–2.56, p = 0.038). Digital Connectivity Index and low psychological distress were also significant protective factors (AOR = 1.68, p = 0.034 and AOR = 1.82, p = 0.014, respectively). The multivariate model demonstrated good discrimination (area under the curve = 0.81) and acceptable calibration (Hosmer-Lemeshow p = 0.592), with 75.3% overall accuracy. Partial correlation analysis revealed a moderate positive association between TNS and social cohesion (r = 0.47, controlling for confounders). These findings underscore the critical importance of fostering transnational connections, strengthening community bonds, and expanding digital access to enhance adaptation outcomes among climate-displaced populations in vulnerable coastal regions.
Algorithmic Management, Perceived Precarity, and Collective Identity Formation Among Indonesian Gig Economy Workers Sitorus, Darlene; Wongso, Benyamin; Noir, Henrietta
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 2 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i2.320

Abstract

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.
Association Between Spatial Justice Indicators and Perceived Quality of Life Among Residents of Post-Industrial Urban Neighborhoods in Palembang, Indonesia Napitupulu, Christian; Amanda, Vita; Yermekova, Aylin
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 2 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i2.321

Abstract

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
Nostalgic Collective Memory, Populist Rhetoric Exposure, and Social Transformation in Peri-Urban Communities of Palembang, South Sumatra, Indonesia: A Cross-Sectional Analytical Study Firzan Dahlan; Grace Freya Purba
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 2 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i2.322

Abstract

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.
Association Between Eco-Anxiety and Civic Engagement Among University Students in Jakarta: The Moderating Role of Institutional Trust Suparman, Aman; Amir, Zahra; Munandar, Ervin
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 2 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i2.323

Abstract

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).
Care Deficit Predictors Among Community-Dwelling Elderly in a Transnational Migration Area: A Cross-Sectional Analytical Study in a Coastal District of West Java, Indonesia Theresia Putri Sinaga; Ayesh Mahmood; Muhammad Faiz
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 2 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i2.324

Abstract

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.
Digital Visibility, Algorithmic Misclassification, and Welfare Exclusion Among Informal Workers: A Mixed-Methods Study in Indonesia Harun Urrashid; Fitriyanti Fitriyanti
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 3 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i3.325

Abstract

Background: Algorithmic governance is reshaping social protection, yet the distributive consequences of automated welfare targeting in the Global South remain poorly understood. The study was grounded in street-level bureaucracy and procedural-justice theory. Objective: To examine whether digital transaction visibility and employment informality predict false-negative welfare exclusion, whether perceived algorithmic misclassification mediates these effects, and whether algorithmic procedural justice moderates them. Methods: An explanatory-sequential mixed-methods design combined an audit of 2,500 automated eligibility decisions with a cross-sectional survey of 640 household heads served by a public organization in Palembang, South Sumatera, Indonesia (response rate 84.2%), and phenomenological interviews with false-negative cases. Results: All scales were reliable (Cronbach's alpha 0.79-0.88). The audit found 72.3% aggregate accuracy and a 23.4% false-negative rate, rising to 55.1% among undocumented households. Employment informality (beta=0.28), misclassification (beta=0.31), and digital transaction visibility (beta=0.19) positively predicted exclusion, while procedural justice was protective (beta=-0.22); the model explained 52% of variance (F(9,630)=75.84, p<0.001). Misclassification partially mediated the informality-exclusion link (indirect effect=0.17, 95% CI [0.12, 0.23]), procedural justice buffered it (interaction beta=-0.14, p=0.002), and non-digital informal workers had 4.27 times higher exclusion odds (95% CI [2.98, 6.12]). Interviews showed that gross e-wallet throughput was misread as income and frontline discretion collapsed into a computer-says-no bureaucracy. Conclusion: Algorithmic unfairness in Indonesia reflects parameterization bias against informal livelihoods. Welfare systems should restore conditional human-in-the-loop discretion and accessible appeal mechanisms.
Synthetic Reality and the Erosion of Epistemic Trust: Deepfake Misinformation, Confirmation Bias, and Democratic Cynicism Among Indonesian Voters Yuniarti Maretha Pasaribu; Aaliyah El-Hussaini
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 3 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i3.326

Abstract

Background: Synthetic media generated by artificial intelligence (deepfakes) threatens democratic consolidation, yet most evidence is Western and video-centred and rarely models how such media shapes citizens' political attitudes. Objective: Grounded in epistemic-trust theory, motivated-reasoning theory, and the Liar's Dividend thesis, this study examined how the illusion of authenticity, confirmation-bias acceleration, and perception of the Liar's Dividend relate to democratic cynicism among Indonesian voters, and whether confirmation bias mediates and synthetic-media literacy moderates these relationships. Methods: A nested mixed-methods design combined computational extraction of 4,200 synthetic-media items (detector F1 = 0.92), a cross-sectional survey of 3,000 adults recruited by proportional random sampling across three urban centres in Indonesia, and digital ethnography with 50 key informants. Results: The novel Epistemic Trust Erosion Scale demonstrated strong reliability (total alpha = 0.893; subscales 0.77 to 0.85) and sampling adequacy (KMO = 0.93). Cloned-audio deepfakes were trusted by 76.2% of respondents but consciously detected by only 11.5%, inverting the global assumption of video primacy. Illusion of authenticity (beta = 0.256), confirmation bias (beta = 0.269), and Liar's Dividend perception (beta = 0.212) each predicted democratic cynicism (all p < 0.001), explaining 33.0% of its variance (F(3, 2996) = 492.57, p < 0.001, f-squared = 0.493). Confirmation bias partially mediated the authenticity-cynicism pathway (indirect effect = 0.153, 95% CI [0.135, 0.172]). Synthetic-media literacy lowered cynicism but did not buffer the pathway. Conclusion: The findings extend deepfake scholarship to oral, messaging-centred Global-South publics and inform electoral-integrity policy.
The Algorithmic Sanctuary: Social-Interaction Burnout, Loneliness, and Emotional Attachment to AI Companions Among Young Adults in Indonesia Ni Made Nova Indriani; Immanuel Simbolon; Sophia Lucille Rodriguez
Open Access Indonesia Journal of Social Sciences Vol. 9 No. 3 (2026): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v9i3.327

Abstract

Background: Post-pandemic digital life has produced a new affective phenomenon: large-language-model “AI companions” that invite two-way parasocial relationships. Counter-intuitively, the most intense users in urban Indonesia appear to be not the physically isolated but socially active young adults experiencing interaction burnout, who treat AI as a refuge from the judgment costs of a collectivist culture. Yet no integrated model has tested why relational strain translates into machine attachment in a Global-South setting. Objective: To examine whether social-interaction burnout and subjective loneliness predict emotional attachment to AI companions, whether AI parasocial interaction mediates the burnout-attachment path, and whether collectivist judgment apprehension moderates the loneliness-attachment link. Methods: Drawing on Parasocial Interaction Theory, the Computers-Are-Social-Actors paradigm, and emotional-labor theory, this cross-sectional survey of 1,200 young adults recruited through a public organization in Palembang, South Sumatera, Indonesia, measured social-interaction burnout, subjective loneliness, collectivist judgment apprehension, AI parasocial interaction, and emotional attachment to AI using validated Likert scales analysed with reliability, correlation, multiple regression, bootstrap mediation, and moderation. Results: All scales were reliable (α = 0.84–0.91; KMO = 0.96). The model explained 48% of variance in attachment (adjusted R² = 0.486, F = 284, p < 0.001). Parasocial interaction (β = 0.318), loneliness (β = 0.254), and burnout (β = 0.238) were the strongest predictors (all p < 0.001). Parasocial interaction partially mediated the burnout–attachment path (indirect = 0.160, 95% CI [0.132, 0.191]), and judgment apprehension moderated the loneliness–attachment link (β = 0.127, p < 0.001). Conclusion: Findings introduce the “Algorithmic Sanctuary” account of AI companionship and inform digital-wellbeing policy in collectivist societies.

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