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All Journal dCartesian: Jurnal Matematika dan Aplikasi JTAM (Jurnal Teori dan Aplikasi Matematika) Pattimura Proceeding : Conference of Science and Technology Jurnal Ekonomi dan Pembangunan Indonesia
Ridha, M. Rismawan
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Materials Science & Nanotechnology Mathematics Physics

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THE EFFECT OF ECONOMIC GROWTH, UNEMPLOYMENT RATE AND HUMAN DEVELOPMENT ON POVERTY IN INDONESIA (Panel Model Approach in 4 Poorest Provinces) Wibowo, Ananto; Ridha, M. Rismawan
d'CARTESIAN:Jurnal Matematika dan Aplikasi Vol 10, No 1 (2021): Maret 2021
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (856.246 KB) | DOI: 10.35799/dc.10.1.2021.32375

Abstract

The implementation of various policies in poverty alleviation in Indonesia has yielded good results. This condition is reflected by the downward trend in the percentage of poor people who reached a single digit in 2018. However, this has not much-changed the conditions in some of the poorest provinces such as Maluku, East Nusa Tenggara, West Papua, and Papua. This study aims to analyze the effect of Economic Growth, Unemployment Rate, and Human Development Index (HDI) on poverty in the four poorest provinces from 2011 to 2018. The research data sources from Statistics Indonesia (BPS) with the analytical tool used in estimating the panel data regression model is the Fixed Effect Model (FEM). The results show that economic growth and HDI have a negative effect on the poverty. In reverse, the Unemployment Rate has an insignificant effect. Based on the research results, the government advised coordinating with relevant stakeholders in formulating policies to increase welfare and purchasing power, improve the quality of education, and optimize health services in the four poorest provinces. 
Analisis Dampak Program Bantuan Pangan Non-Tunai terhadap Pengeluaran Konsumsi Rumah Tangga Pertanian di Maluku Ridha, M. Rismawan; Rumayya, Rumayya
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 24, No. 1
Publisher : UI Scholars Hub

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Abstract

Poor households in the agricultural sector belong to a group with high food insecurity. As one of the instruments in overcoming the problem of food insecurity, Non-Cash Food Assistance (BPNT) provides social assistance to the poor to purchase adequate and nutritious food. This study aims to analyze the impact of BPNT on the expenditure of poor households in the agricultural sector in Maluku province. Using the Propensity Score Matching analysis on March 2020 Susenas data, the results show that BPNT significantly influences increasing food expenditure but not total expenditure.
Comparison of Logistic Regression Model and MARS Using Multicollinearity Data Simulation Wibowo, Ananto; Ridha, M. Rismawan
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 4, No 1 (2020): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.62 KB) | DOI: 10.31764/jtam.v4i1.1801

Abstract

There are several statistical methods used to model the effect of predictor variables on categorical response variables, namely logistic regression and Multivariate Adaptive Regression Splines (MARS). However, neither MARS nor logistic regression allows multicollinearity on any predictor variables. This study applies the use of both methods to the simulation data with principal component analysis as an improvement in multicollinearity to find out which regression has better performance. The result of the analysis shows that MARS is very powerful in modeling research simulation data. Besides, based on the criteria of the number of significant major components, accuracy, sensitivity, and specificity values, MARS has more appropriate performance than logistic regression.
Impact Evaluation of Digitalisation and Pre-Employment Card on the Economy of West Papua Ridha, M. Rismawan
Pattimura Proceeding 2026: Proceeding of the 3rd International Conference of International Conference on Business and Eco
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pcst.2026.iconbe.p335-357

Abstract

West Papua can serve as a best practice for eastern Indonesia in fostering structural transformation in national development post-Covid-19. With the highest economic growth rate (20.80 per cent) in 2024, the province has also reported an increase in the literacy of the productive-age population in information and communication technology (ICT). Nonetheless, West Papua’s digital competitiveness remains relatively low, coupled with substantial challenges in transitioning the young workforce into employment or further education, as reflected in the escalating numbers of individuals classified as Not in Employment, Education, or Training (NEET). This study seeks to examine the impact of digitalisation on economic improvement within the community and evaluate the effectiveness of the pre-employment card program in facilitating job opportunities for youth in West Papua. Employing data from the August 2021–2022 National Labour Force Survey (Sakernas) and the 2021 Village Potential Survey, the analysis utilized Instrumental Variables (IV) Two-Stage Least Squares and Propensity Score Matching (PSM) econometric methods. The results indicate a strong positive association between digitalisation and individual income, with substantially higher earnings among digitally engaged workers, conditional on observable characteristics and instrument validity assumptions. Furthermore, the PSM analysis reveals that the pre-employment card program significantly increases employment opportunities for young individuals, emphasizing the need for continued governmental support in technology access and program benefits.
Co-Authors Rumayya, Rumayya Wibowo, Ananto Wibowo, Ananto