Open Access Indonesia Journal of Social Sciences

The Velocity of Relevance: Mapping the Structural Divergence Between Labor Market Signals and University Curricula in Indonesia via Text Mining and Network Analysis

2026-02-12T07:59:14+00:00

The persistent disconnect between higher education outcomes and labor market demands, frequently termed the skills mismatch, remains a critical barrier to Indonesia's economic competitiveness in the Fourth Industrial Revolution. Traditional survey-based methodologies often lack the granularity to capture dynamic market shifts and technical nuances. This study employs a Big Data approach, utilizing automated web scraping to harvest N = 1,042,500 unique job advertisements from major Indonesian portals and N = 4,500 course syllabi from 50 top-tier Indonesian universities between 2023 and 2024. We applied Natural Language Processing, specifically Latent Dirichlet Allocation for topic modeling, and Social Network Analysis to calculate semantic overlap and centrality measures between industry demands and academic provision. We utilized the Overlap Coefficient to correct for corpus size imbalance. The analysis reveals a structural divergence: while 82% of job ads prioritize Digital Fluency and Agile Project Management, only 28% of curricula explicitly integrate these competencies. Network analysis identifies Data Analysis as a peripheral node in academic graphs but a central hub in industry networks with a Betweenness Centrality of 0.45. Conversely, theoretical constructs dominant in academia show weak linkage to employability clusters. In conclusion, the findings evidence a systemic velocity gap where industry requirements evolve three times faster than curriculum adaptation. We propose a dynamic, API-driven curriculum model to mitigate this asymmetry.

The Paradox of No-Fault Social Insurance: A Normative-Empirical Analysis of Procedural Barriers in Indonesia's Traffic Accident Compensation Scheme

2026-03-25T07:37:58+00:00

Article 28D(1) of Indonesia's 1945 Constitution guarantees legal protection and certainty. Despite Law Number 34 of 1964 establishing a progressive no-fault compensation scheme administered by Jasa Raharja, traffic accident victims frequently face insurmountable administrative barriers. This study employs a mixed normative-empirical methodology in the Barelang Police Resort jurisdiction, Riau Islands. Normative analysis utilized grammatical, historical, systematic, and teleological interpretations of statutory frameworks. The empirical phase integrated stakeholder interviews with a quantitative retrospective cohort study analyzing claim adjudication outcomes, processing durations, and documentation barriers. The statutory framework contains critical gaps. Procedural ambiguities create disproportionate documentation burdens, leading to an empirical 25.5% claim abandonment rate driven heavily by fear of vehicle seizure and civil registration irregularities. Furthermore, the categorical exclusion of single-vehicle accidents fails to account for infrastructure-related causation, violating equal treatment guarantees. Regulatory fragmentation regarding temporal standards results in systematic processing delays, compounded by severe public awareness deficits. In conclusion, the implementation of Law Number 34 of 1964 structurally transforms a theoretical no-fault scheme into a restrictive mechanism privileging legally sophisticated claimants. We propose specific statutory amendments, including integrated inter-institutional coordination mandates and enforceable processing timelines, to align the compensation framework with constitutional mandates.

Socio-Economic Determinants of Agrarian Succession: A Logistic Regression Analysis of Youth Aspirations in Indonesian Coffee Home Industries

2026-04-08T02:13:27+00:00

The global coffee supply chain relies heavily on smallholder farmers, yet agrarian communities face a crisis of generational succession. This study investigates the aspirations of rural youth in Pagaralam, South Sumatra, and the socio-economic mechanisms driving their reluctance to inherit family-owned coffee home industries. A cross-sectional quantitative survey was conducted among 200 respondents aged 16–30 from coffee-farming households. To target established enterprises, a purposive sampling strategy was utilized. Data were collected using validated structured questionnaires. A binary logistic regression analysis was employed to identify predictors of generational succession intent. Only 24.5% (n = 49) of respondents expressed a definitive intent to continue the family business, whereas 61.0% (n = 122) preferred urban or digital employment. The predictive model demonstrated a strong fit (Nagelkerke R-squared = 0.428). Significant negative predictors for succession included higher educational attainment (Odds Ratio = 0.30, p-value < 0.001), perceived income volatility (Odds Ratio = 0.32, p-value < 0.01), and the perceived low social status of farming (Odds Ratio = 0.45, p-value < 0.05). Conversely, access to agricultural modernization technology was a strong positive predictor (Odds Ratio = 3.15, p-value < 0.01). In conclusion, youth out-migration from the coffee sector is strongly associated with structural economic barriers and shifting cultural aspirations rather than a lack of foundational knowledge. Securing the future of these industries requires targeted interventions that integrate technological innovation to rebrand coffee processing as a lucrative, high-status entrepreneurial endeavor.