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The Influence of Local Wisdom Bapukung on Productivity and Role Balance of Housewives Cahya, Nila; Prabowo, Sigit Dwi
Anterior Jurnal Vol. 24 No. Special-1 (2025): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v24iSpecial-1.9101

Abstract

Balancing caregiving duties with multiple responbilities is a persistent challenge for housewives, particularly those managing micro, small, and medium enterprises (MSMEs). Bapukung, a traditional swaddling practice from South Kalimantan, offers a potential solution by improving infant sleep quality and providing mothers with uninterrupted time to manage household and business tasks. This study investigates the influence of Bapukung on the productivity and role balance of housewives using a quantitative approach with Structural Equation Modeling-Partial Least Squares (SEM-PLS). Data were collected from 30 respondents in South Kalimantan through structured questionnaires. Results reveal that Bapukung significantly influences both productivity (β = 0.816, p < 0.05) and role balance (β = 0.787, p < 0.05). These findings align with the Resource-Based View (RBV) and Balanced Scorecard frameworks, demonstrating how cultural practices can serve as strategic resources to enhance time management and efficiency. The study contributes to the integration of local wisdom into modern management theories, offering practical implications for family welfare programs and entrepreneurship training. Future research should explore the scalability of Bapukung across diverse cultural contexts and its long-term influence on family dynamics and maternal well-being.
Pemodelan Distribusi Spasial Hotspot di Kabupaten Banjar Menggunakan Log-Gaussian Cox Process Prabowo, Sigit Dwi; Susanti, Dewi Sri; Asianingrum, Al Hujjah
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 7 No. 2 (2025)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm402

Abstract

Forest and land fires are recurring ecological and socio-economic disasters in Banjar Regency, South Kalimantan Province, with complex triggers. A deep understanding of the spatial distribution of fire risk is crucial for effective mitigation efforts. This study aims to model the spatial intensity of hotspots as a proxy for forest and land fires events in Banjar Regency and produce a fire risk surface map. The data used in this study are hotspot data from the siPongi website in Banjar Regency for the period 2013–2024, along with elevation data analyzed using the Log-Gaussian Cox Process (LGCP) spatial statistical model. The analysis results show that elevation has a negative but statistically insignificant effect on hotspot intensity, where fire risk tends to be higher at lower elevations. The LGCP model proved effective in capturing the complex spatial patterns of hotspot occurrences, separating trends driven by covariates and residual spatial clustering. The resulting risk intensity map successfully identified high-risk clusters, particularly concentrated in western districts dominated by peatlands and agricultural activities.