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All Journal Journal of Advanced Sciences and Mathematics Education Smart Society: Community Service and Empowerment Journal
Dhanang Eka Putra
Politeknik Negeri Jember, Indonesia
Humanities Chemistry Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Geofencing-based data-driven workforce analytics framework using causal modeling for operational efficiency in vocational agribusiness systems Dyah Kusuma Wardani; Naning Retnowati; Paramita Andini; Mohammad Edwinsyah Yanuan Putra; Dhanang Eka Putra
Journal of Advanced Sciences and Mathematics Education Vol. 6 No. 1 (2026): Journal of Advanced Sciences and Mathematics Education
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jasme.v6i1.659

Abstract

Background: Digital transformation in agribusiness increasingly adopts geospatial and IoT-based monitoring technologies, yet most applications emphasize asset tracking or simulation-based modeling rather than empirically validated workforce performance evaluation. Existing analytical studies often rely on structural influence modeling without integrating real-time labor data and causal inference methods. This gap is particularly visible in vocational agribusiness systems, where digital governance initiatives remain underexplored from a rigorous quantitative perspective. Aims: This study develops and empirically validates a geofencing-based, data-driven workforce analytics framework using causal modeling to assess operational efficiency and governance outcomes in vocational agribusiness production units. Method: A quasi-experimental stepped-wedge design was implemented across four Teaching Factory units over 12 weeks. Real-time geospatial attendance logs were integrated with production and payroll data to construct a worker-level panel dataset. Treatment effects were estimated using a Difference-in-Differences model with worker and time fixed effects. Robustness checks included parallel trend diagnostics, placebo tests, and alternative specifications. Results: Digital workforce monitoring significantly improved performance. Labor productivity increased by 13.4%, cost-to-serve decreased by 9.7%, payroll processing time declined by 41%, and lateness was reduced by 48%. The Accountability Index improved by 0.88 standard deviations. Robustness analyses confirmed the stability of these effects. Conclusion: Geofencing-based digital monitoring functions as an operational optimization mechanism rather than merely a compliance tool. The proposed framework provides scalable, data-driven evidence for improving workforce governance in labor-intensive agribusiness systems. 
Community-Based Circular Agribusiness: Market Validation, Pricing Logic, and Value-Chain Coordination for Village Livestock Waste Fertilizer in Rural Indonesia Dhanang Eka Putra; Hariyono Rakhmad; Huda Ahmad Hudori; Raden Roro Lia Chairina; Mochamad Rizal Umami
Smart Society Vol. 5 No. 2 (2025): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v5i2.815

Abstract

Village livestock waste presents both an environmental burden and an underutilized resource capable of strengthening rural livelihoods when transformed into marketable organic fertilizer. This study develops a community-based circular agribusiness model that integrates market validation, pricing analysis, and value-chain coordination to improve the commercial feasibility of waste-to-fertilizer initiatives in rural Indonesia. A convergent mixed-methods design was implemented, combining a Price Sensitivity Meter survey with Cost–Volume–Profit and Break-Even Point calculations, supported by a simplified Value Chain Analysis involving farmers, processors, kiosks, and local cooperative actors. Data were collected from 60 small-scale livestock households, 150 fertilizer users, and 12–15 key informants across Arjasa District. Findings indicate an acceptable price range of IDR 40,000–80,000 per 25-kg bag, with an optimal price point near IDR 60,000. At this level, contribution margins remain positive across direct, cooperative, and kiosk channels, with the break-even requirement estimated at 180–230 bags per month. The value-chain assessment reveals constraints related to moisture variability, inconsistent granulometry, and high last-mile distribution costs. Proposed coordination measures include minimum quality standards, scheduled collection and delivery routes, and simple offtake agreements with a 3–5% quality-based incentive. Together, these elements form a replicable empowerment-oriented model that enhances income stability, reduces waste, and supports community-driven resource governance. The study demonstrates that circular agribusiness, when anchored in market evidence and locally manageable coordination mechanisms, can contribute to socio-economic resilience and strengthen community participation in sustainable rural development
From classroom to market: The role of brand identity and local cultural values in building customer loyalty for vocational teaching factory products Ratih Puspitorini Yekti Ambarkahi; Fredy Eka Ardhi Pratama; Ponti Primastuti Aulia Nugraheni; Pascawati Savitri Universitasari; Dhanang Eka Putra
Smart Society Vol. 6 No. 1 (2026): Smart Society
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v6i1.1119

Abstract

Teaching Factory (TEFA) programs are designed to connect classroom-based vocational education with real market production, positioning polytechnics as hybrid institutional–commercial actors within regional innovation ecosystems. However, sustaining the commercial viability of TEFA products remains a structural challenge. This study investigates the role of brand identity and local cultural values in strengthening customer loyalty toward TEFA products at Politeknik Negeri Jember. Employing a quantitative explanatory design with path analysis on data collected from 215 respondents, the study examines both direct and mediated relationships among brand identity, perceived cultural values, and customer loyalty. The results indicate that brand identity significantly influences customer loyalty directly (β = 0.412, p < 0.01) and indirectly through local cultural values (β = 0.153, p < 0.01), with the model explaining 46.1% of the variance in loyalty. These findings suggest that culturally embedded branding enhances institutional credibility and supports the transition from educational production to sustainable market engagement. The study contributes to the understanding of how branding mechanisms operate within vocational innovation systems and regional knowledge-based economic development contexts.
Co-Authors Andini, Paramita Dyah Kusuma Wardani Fredy Eka Ardhi Pratama Hariyono Rakhmad Huda Ahmad Hudori Mochamad Rizal Umami Mohammad Edwinsyah Yanuan Putra Naning Retnowati Pascawati Savitri Universitasari Ponti Primastuti Aulia Nugraheni Raden Roro Lia Chairina Ratih Puspitorini Yekti Ambarkahi