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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Counseling and Humanities Review UNP Journal of Statistics and Data Science
Dahlia Misrika
Department Of Mathematics And Data Science, Universitas Andalas, 25163, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Neuroscience Social Sciences Other

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Agricultural Involution in Indonesia: A Generalized Structured Component Analysis (GSCA) Approach with Land and Labor Interaction Effects Urwawuska Ladini; Sella Nofriska Sudrimo; Dahlia Misrika
UNP Journal of Statistics and Data Science Vol. 4 No. 2 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss2/494

Abstract

Indonesian agriculture faces an economic paradox where the sector remains a primary employer despite low wages and stagnant GDP contributions compared to industry. This study aims to analyze and quantify the phenomenon of agricultural involution in Indonesia from 2017 to 2023 by simultaneously examining the effects of land, labor, productivity, and land–labor interaction on agricultural output across 34 provinces. Generalized Structured Component Analysis (GSCA) with an Alternating Least Squares (ALS) approach is employed because of its ability to handle mixed formative–reflective measurement models and accommodate latent variable interaction effects —  capabilities unavailable in conventional covariance-based SEM or linear regression. The results indicate that land capacity is the dominant determinant of agricultural output with a path coefficient of 0.958, signaling that growth remains extensive rather than intensive. Crucially, labor intensity is found to have a significant negative effect on productivity and total output, confirming the law of diminishing marginal returns and the presence of labor surpluses that exceed optimal points. Furthermore, the interaction between land and labor yields a significant negative coefficient (-0.109), proving that demographic pressure on limited land exacerbates inefficiency and output destruction. Spatial post-hoc analysis indicates that agricultural involution is no longer confined to Java but has evolved into a national phenomenon, as demonstrated by the absence of significant disparities in labor-to-land ratios and productivity between Java and other regions. These findings suggest that sustainable transformation requires integrated policies for land protection, labor restructuring toward non-agricultural sectors, and technological modernization to break the cycle of involution.
Financial Literacy’s Impact on Interest in Sharia Investment: An Examination Using SEM-PLS Sella Nofriska Sudrimo; Urwawuska Ladini; Dahlia Misrika
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 18 No 1 (2026): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v18i1.784

Abstract

Introduction/Main Objectives: This research explores the impact of financial literacy, including knowledge, confidence, and ability, on interest in Sharia investment. Background Problems: the relationship between financial literacy and interest in sharia investment. Novelty: Considering that each province has different community characteristics, especially in the Southwest Papua Province area which is included in the 3T areas (underdeveloped, frontier, and outermost), an analysis was carried out and using SEM-PLS for analysis of Ddta. Research Methods: Using the Structural Equation Model Partial Least Square (SEM-PLS) method with the response variable sharia investment interest and the financial literacy variable with the dimensions of knowledge, confidence and ability. Finding/Results: The results show that financial literacy has a positive and statistically significant effect on interest in Sharia investment. Although its explanatory power is limited (R² = 0.094), the findings indicate that financial literacy functions as an enabling factor rather than a sole determinant of Sharia investment interest. These results suggest that improving financial literacy alone is insufficient to substantially increase interest in Sharia investment. Therefore, policies aimed at promoting Sharia investment should integrate financial education with institutional trust-building, product accessibility, and socio-religious engagement, particularly in underdeveloped and frontier regions such as Southwest Papua.
Investigating the Influence of Working Hours, Unemployment, Inflation, and the COVID-19 Pandemic on Self-Harm Trends in Indonesia Through ARIMAX Models Mutia Yollanda; Ghea Weisha; Ade Herdian Putra; Dahlia Misrika; Nova Noliza Bakar
Counseling and Humanities Review Vol 6, No 1 (2026): Counseling and Humanities Review
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/0001406chr2026

Abstract

Self-harm is a significant public mental health concern influenced by complex interactions between psychological, social, and environmental factors. Understanding long-term patterns and identifying potential determinants of self-harm are essential for developing effective prevention strategies and counseling interventions in Indonesia. This study analyzed annual self-harm attempt rates in Indonesia from 1991 to 2025 using an autoregressive integrated moving average with exogenous variables (ARIMAX) approach. The explanatory variables included unemployment rate, inflation rate, average working hours, and a COVID-19 pandemic indicator. Several ARIMA specifications were evaluated based on model performance, parameter significance, and information criteria. Residual diagnostic tests were conducted to assess model adequacy, including examinations for autocorrelation and heteroscedasticity. The ARIMAX(1,2,1) model was selected as the preferred specification based on its statistical performance and the complete estimation of its parameters. The findings showed that average working hours (? = 0.1908, p = 0.024) and the COVID-19 pandemic period (? = 0.2275, p < 0.001) were significant predictors of self-harm rates, whereas unemployment and inflation were not statistically significant. Forecasting results indicated a gradual decline in self-harm rates, from 13.06 in 2026 to 12.34 in 2028, with increasing uncertainty over longer forecasting horizons. The findings suggest that self-harm trends in Indonesia are closely associated with psychosocial stressors, particularly occupational burden and major social disruptions. Integrating time-series evidence with counseling and public mental health strategies may support more targeted prevention efforts, early identification, and improved psychological support systems.
Co-Authors Ade Herdian Putra Ghea Weisha Mutia Yollanda Nova Noliza Bakar Sella Nofriska Sudrimo Urwawuska Ladini