Regional Inequality Based on Infrastructure Indicators Using Principal Component Analysis (PCA)

This research aimed to identify the development gap among 27 sub-districts in Banyumas Regency based on infrastructure indicators using Principal Component Analysis (PCA). The infrastructure indicators used were the quality of road, lighting, transportation, market, bridges and schools. The data were collected by observation in 27 sub-districts of Banyumas Regency. From the analysis result with PCA, it can be determined that based on infrastructure indicators, the sub-districts in Banyumas Regency were divided into 4 clusters, namely: Cluster I with 1 sub-district; Cluster II with 3 sub-districts; Cluster III with 3 sub-districts, and the remainining 20 sub-districts were in Cluster IV

Emotional Labor Dan Organizational Citizenship Behavior Pada Perawat RSUD Dr. R Goeteng Taroenadibrata Purbalingga

Penelitian ini bertujuan untuk mengetahui hubungan antara emotional labor dengan organizational citizenship behavior pada perawat RSUD. Populasi penelitian adalah perawat RSUD dr. R Goeteng Taroenadibrata Purbalingga sebanyak 161 perawat. Sampel penelitian sebanyak 82 perawat dengan mean usia 36 tahun. Sampel diambil dengan cara acak pada perawat semua bangsal sesuai kebutuhan penelitian. Pengumpulan data menggunakan Skala Organizational Citizenship Behavior (18 aitem,α =0.83) dan Skala Emotional Labor (17 aitem,α =0.81). Hasil penelitian menunjukkan hubungan positif antara emotional labor dengan organizational citizenship behavior pada perawat dr. R Goeteng Taroenadibrata Purbalingga dengan rxy=0,391 dan p=0,000. Emotional labor memberikan sumbangan efektif sebesar 15,3% pada organizational citizenship behavior

Regional development gaps in Argentina: A multidimensional approach to identify the location of policy priorities

Spatial inequalities within Latin American countries have historically attracted the interest ofacademics, policy-makers, and international agencies. This article aims to provide amultidimensional diagnosis of provincial development gaps in Argentina, in order to identifythe location of policy priorities. Therefore, we built a large database, which covers sevendevelopment dimensions, and applied multivariate analysis techniques to overcome someanalytical limitations of previous studies. Results show the stability of provincial developmentgaps between 2003 and 2013 and some heterogeneity within geographic regions. Instead,cluster analysis offers a better classification of Argentine provinces according to theirdevelopment gaps, which can help the government to prioritize the places wheredevelopment policies are strategic.Fil: Niembro, Andrés Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de Río Negro; ArgentinaFil: Sarmiento, Jesica Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de Río Negro; Argentin