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All Journal Jurnal Ilmu Ekonomi dan Pembangunan 2-TRIK: TUNAS-TUNAS RISET KESEHATAN
Ulul Azmi Afrizal Rizqi
Badan Pusat Statistik Provinsi Maluku
Humanities Economics, Econometrics & Finance Health Professions Public Health Social Sciences

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APLIKASI REGRESI SPASIAL UNTUK MENGANALISIS PENGARUH INDIKATOR PENDIDIKAN TERHADAP TINGKAT PENGANGGURAN TERBUKA DI JAWA TENGAH TAHUN 2018 Ulul Azmi Afrizal Rizqi
Jurnal Ilmu Ekonomi dan Pembangunan Vol 19, No 2 (2019): Jurnal Ilmu Ekonomi dan Pembangunan
Publisher : EP FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (704.48 KB) | DOI: 10.20961/jiep.v19i2.37872

Abstract

Unemployment still becomes one of social important problems in Indonesia that needs more attention, including in Central Java. One factor that affects the unemployment rate is educa-tion. Education is a gateway for people to improve their living standards through the worklife. Moreover, education will improve the quality of human resources themselves. This study tries to analyze unemployment in the context of spatial distribution to understand wheter or not there is spatial pattern of unemployment in Central Java. Descriptive analysis results indicate that there is a regional grouping of high open unemployment rates in Central Java, which is located in the western part of the province. The modeling results show that the Spatial Auto-regressive Model is appropriate to illustrate the effect of the independent relationship on the dependent variable. The model estimation results conclude that people (in the percentage of population) who have never / not yet attended school have positive effect on the open unem-ployment rates. While people (in percentage) who cannot read and write and the literacy rate of poor people aged 15-55 years have negative effect on the open unemployment rates. The results of this study can be a reference for the government in focusing its main policies on education and employment in Central Java.Keywords: education, spatial autoregressive model, unemploymenJEL Classification: C21, E24, I25
Angka Morbiditas Provinsi Jawa Tengah dari Sudut Pandang Kemiskinan dan Pengangguran Tahun 2018 Ahmad Samsudin; Ulul Azmi Afrizal Rizqi
2-TRIK: TUNAS-TUNAS RISET KESEHATAN Vol 11, No 1 (2021): Februari 2021
Publisher : FORUM ILMIAH KESEHATAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/2trik11113

Abstract

Degree of population health in an area can be illustrated by morbidity rate. Java Island is one area that has good health quality. The population of Java Island has the best degree of health compared to other regions. During the last two years there are still a number of provinces in Java whose morbidity is quite high or even higher than the national figures, including Central Java Province. The goal of this study is to analyze the morbidity rate and explore the factors that influence the morbidity in 35 district/city in Central Java 2018. Descriptive analysis was used with thematic maps and Inferential analysis using spatial autocorrelation analysis. Spatial autocorrelation was measured through the Lagrange Multiplier test. Based on spatial dependency test, seen that no spatial autocorrelation occurs, therefore Ordinary Least Squares model was used. With OLS model, found that the poverty level predictor variable and the open unemployment rate significantly affect morbidity rate at alpha 5 percent. Poverty and Open unemployment rate have a significant effect on morbidity rate in Central Java in 2018 without including spatial effects. Keywords: autocorrelation; morbidity; poverty; unemployment ABSTRAK Derajat kesehatan penduduk di suatu wilayah dapat digambarkan dengan angka morbiditas. Pulau Jawa merupakan salah satu daerah yang memiliki kualitas kesehatan yang baik. Penduduk Pulau Jawa memiliki derajat kesehatan yang paling baik dibandingkan daerah lain. Dalam dua tahun terakhir masih terdapat beberapa provinsi di Jawa yang angka morbiditasnya cukup tinggi atau bahkan lebih tinggi dari angka nasional, salah satunya Jawa Tengah. Tujuan dari penelitian ini adalah menganalisis angka morbiditas dan menggali faktor-faktor yang mempengaruhi morbiditas di 35 kabupaten / kota di Jawa Tengah tahun 2018. Analisis deskriptif digunakan dengan peta tematik dan analisis inferensial menggunakan analisis autokorelasi spasial. Autokorelasi spasial diukur melalui uji Lagrange Multiplier. Berdasarkan uji ketergantungan spasial, terlihat tidak terjadi autokorelasi spasial, oleh karena itu digunakan model Ordinary Least Squares. Dengan model OLS ditemukan bahwa variabel prediktor tingkat kemiskinan dan tingkat pengangguran terbuka berpengaruh signifikan terhadap angka morbiditas pada alpha 5 persen. Tingkat kemiskinan dan pengangguran terbuka berpengaruh signifikan terhadap angka morbiditas di Jawa Tengah tahun 2018 tanpa menyertakan efek spasial. Kata kunci: autokorelasi; kemiskinan; morbiditas; pengangguran
Co-Authors Ahmad Samsudin