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ANALISIS PENGARUH FAKTOR EKONOMI TERHADAP KESEJAHTERAAN MASYARAKAT: PENDEKATAN HOLISTIK PADA VARIABEL SOSIAL DAN EKONOMI Sabela, Sefilah Naurah; Valentina, Tiara; Trimono, Trimono
Kohesi: Jurnal Sains dan Teknologi Vol. 6 No. 6 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v6i6.10025

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh faktor ekonomi terhadap kesejahteraan masyarakat menggunakan pendekatan holistik. Latar belakang penelitian ini adalah kesenjangan dalam pemahaman tentang hubungan antara variabel ekonomi, seperti pendapatan per kapita, distribusi pendapatan, dan stabilitas ekonomi makro, terhadap kesejahteraan. Metode penelitian ini melibatkan analisis data berdasarkan teori ekonomi kesejahteraan dan teori kemampuan. Hasil penelitian menunjukkan bahwa distribusi pendapatan yang lebih merata dan stabilitas ekonomi secara signifikan meningkatkan kualitas hidup masyarakat. Selain itu, integrasi variabel sosial seperti akses pendidikan dan kesehatan dengan kebijakan ekonomi terbukti efektif dalam mengoptimalkan kesejahteraan masyarakat. Temuan ini menawarkan pendekatan baru yang menekankan pentingnya sinergi antara variabel ekonomi dan sosial dalam perencanaan strategi pembangunan berkelanjutan. This study aims to analyze the influence of economic factors on societal welfare using a holistic approach. The research highlights gaps in understanding the relationship between economic variables, such as per capita income, income distribution, and macroeconomic stability, on welfare. The methodology involves data analysis using welfare economics and capability theory frameworks. Results indicate that equitable income distribution and macroeconomic stability significantly enhance the quality of life. Additionally, integrating social variables, such as access to education and healthcare, with economic policies effectively optimizes societal welfare. These findings propose a novel approach that emphasizes the synergy between economic and social variables for sustainable development planning.
Segmentation of West Java Province Based on Socio-Economic Indicators Using K-Means and Agglomerative Clustering Methods Valentina, Tiara
RAGAM: Journal of Statistics & Its Application Vol 4, No 1 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i1.15589

Abstract

Regional segmentation based on socio-economic indicators is a crucial approach in data-driven development planning. Through accurate segmentation, governments can design more targeted policies aligned with the specific characteristics of each region. This study aims to compare two clustering methods, namely K-Means and Agglomerative Clustering, in grouping regions within West Java Province based on socio-economic indicators such as poverty rate, open unemployment rate, and Human Development Index (HDI). The analysis was conducted using the Python programming language on the Google Colab platform. Cluster performance was evaluated using the Elbow Method to determine the optimal number of clusters and the Silhouette Score to assess cluster quality. The results indicate that Agglomerative Clustering produces more consistent and interpretable segmentations, particularly in reflecting the socio-economic similarities between regions. However, in terms of computational efficiency, the K-Means method performs better due to its faster processing time. These findings offer valuable insights for regional policymakers in setting development priorities more effectively, grounded in the actual socio-economic conditions of each area