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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JSMARTech : Journal of Smart Bioprospecting and Technology
Rejeki, Sasi Wilujeng Sri
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Biochemistry, Genetics & Molecular Biology Chemistry Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience

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Considering Bali's Agricultural Policies in Implementing the Development of MDA-Path Analysis Rejeki, Sasi Wilujeng Sri; Solimun, Solimun; Nurjannah; Fernandes, Adji Achmad Rinaldo
JSMARTech: Journal of Smart Bioprospecting and Technology Vol. 6 No. 1 (2025): Vol. 6 No. 1 (2025): JSMARTech Volume 6, No 1, 2025
Publisher : JSMARTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsmartech.2025.006.01.52

Abstract

The agricultural sector plays a vital role in Bali’s economy, culture, and food security, particularly in rice production. However, challenges such as land conversion and fluctuating farmer incomes have led the Bali government to implement various agricultural policies. Farmers' welfare is a critical factor in ensuring national food security, as prosperous farmers can improve production and maintain food stability. This study employs Discourse Network Analysis (DNA) to identify key factors affecting farmers' welfare in Bali and integrates MDA-Path Analysis to examine the relationships between exogenous variables and farmers' economic conditions. A mixed-method approach (qualitative and quantitative) is used to explore farmers' inclusivity and validate the MDA-Path Analysis model. Data is collected through in-sample validation using surveys conducted among farmers who are members of farmer groups in Bali. The results of this study indicate that human resource quality has the most significant impact on farmers' welfare, followed by price volatility and ease of technology use. The MDA-Path Analysis model demonstrates high classification accuracy, as reflected in sensitivity values exceeding 80%, confirming its effectiveness in distinguishing between different income and welfare categories. These findings provide valuable insights for strategic policy-making, enabling data-driven decision-making to enhance farmers' welfare and economic stability in Bali.
Development of Semiparametric Truncated Spline Logistic Path Analysis Rejeki, Sasi Wilujeng Sri; Solimun, Solimun; Nurjannah, Nurjannah; Yulianto, Shalsa Amalia; Ullah, Muhammad Ohid
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.29979

Abstract

Logistic path analysis extends logistic regression by incorporating intervening variables, addressing the limitations of linearity assumptions through nonparametric models like spline regression. However, this study develops a semiparametric truncated spline logistic path analysis to accommodate linear and nonlinear relationships, considering direct and indirect effects of intervening variables. The model is applied to analyze the impact of price volatility and human resource quality on farmer welfare, with farmer productivity as an intervening variable. It assumes a nonlinear relationship between price volatility and productivity/welfare, while other relationships are linear. This development was applied to secondary data collected through questionnaires from farmer group members in Bali Province, which were analyzed using a semiparametric truncated spline logistic path model. Optimal knots were determined using the lowest GCV value. The results show that the model effectively captures changes in data patterns, providing robust parameter estimates. Hypothesis testing highlights significant differences in the effectiveness of linear and nonlinear relationships. The use of truncated splines offers critical insights into variable interactions and enhances model reliability, making it a valuable tool for analyzing complex agricultural systems and informing policies to improve farmer welfare and productivity.
Co-Authors Fernandes, Adji Achmad Rinaldo Nurjannah Nurjannah Nurjannah Solimun, Solimun Ullah, Muhammad Ohid Yulianto, Shalsa Amalia