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All Journal Jurnal Ekonomi Kuantitatif Terapan Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Ade Marsinta Arsani
Badan Pusat Statistik Indonesia
Economics, Econometrics & Finance Mathematics

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COMPARISON PERFORMANCE NON-HIERARCHICAL CLUSTER: Case Study: Central Java Regional Competitiveness Index Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.516 KB) | DOI: 10.46306/bay.v3i1.52

Abstract

The Regional Competitiveness Index (RCI) is a benchmark for measuring a region's ability to compete in a market. RCI covers several indicators, including infrastructure, human resource quality, innovation, and government policies supporting economic growth. This study aims to test the performance of several non-hierarchical cluster techniques. The data used Regional Competitiveness Index data in 35 Cities in Central Java in 2022 from the National Research and Innovation Agency (BRIN). The optimal number of clusters recommended using the Elbow method technique is as many as 3. The K-Means method is the best considering the largest Silouhette and R2 values and the smallest AIC/BIC. Cluster 1 has negative values for Pillars 2, 4, 9, and 10. Members in this cluster are Sukoharjo, Magelang City, Surakarta, Salatiga, Pekalongan City, and Tegal City. On the other hand, Cluster 2 has only one negative value for pillar nine. The members of this cluster are Semarang City. The third cluster is only positive in pillar nine and pillar 28. The members of this cluster are as many as 28 other districts. A comprehensive and targeted policy is needed so that the competitiveness index of the Central Java region continues to increase
Determinants of Poverty in East Java after the Covid-19 Pandemic Dyah Purwanti; Sigit Budiantono; Nurhidayati Nurhidayati; Pardomuan Robinson Sihombing; Ade Marsinta Arsani
Jurnal Ekonomi Kuantitatif Terapan 2023: Vol. 16, No. 2, Agustus 2023 (pp.187-360)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2023.v16.i02.p06

Abstract

The Covid-19 pandemic has significantly impacted the economy both nationally and nationally. Economic activity slowed down, many businesses closed their businesses, and there was an increase in the poor. The government is conducting fiscal interventions to overcome the impact of the pandemic both on supply and demand. The intervention is expected to keep the economy growing despite being thin. East Java Province had achievements in reducing poverty until the end of 2019; after the pandemic, poverty increased significantly at the end of 2021. This condition is challenging for the Provincial Government and the City / Regency Government in East Java. Therefore, this study analyzes the determinants of poverty in East Java after the pandemic. Data was sourced from the Statistic Indonesia of East Java for 2018-2021. Using a regression of panel data (fixed effect model), we found that the human development index reduced poverty. On the contrary, the Covid pandemic, this ratio, and economic growth positively impact poverty. The implications of the findings suggest the need for comprehensive economic and macro-social policies so that the poverty rate in East Java can be reduced.
Co-Authors Dyah Purwanti Nurhidayati Nurhidayati Pardomuan Robinson Sihombing Sigit Budiantono Sigit Budiantono