scholarly journals Pengaruh PDRB, Pendidikan, Kesehatan, Dan Pengangguran Terhadap Tingkat Kemiskinan Di Jawa Tengah (2011-2015)

2018 ◽  
Vol 33 (1) ◽  
Author(s):  
Aria Bhaswara Mohammad Bintang ◽  
Nenik Woyanti
Keyword(s):  
Cross Section ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Poverty Level ◽  
Dummy Variable ◽  
School Year ◽  
Central Java ◽  
Effect Model ◽  
Average School

<p align="center"><strong>Abstrak</strong></p><p>Tingginya tingkat kemiskinan di Jawa Tengah menunjukkan perkembangan yang tidak dapat diandalkan yang masih belum dapat meningkatkan kesejahteraan secara merata. Oleh karena itu diperlukan analisis untuk mengidentifikasi beberapa faktor yang mempengaruhinya. Tujuan penelitian ini adalah untuk mengetahui beberapa faktor yang mempengaruhi tingkat kemiskinan di 35 Kabupaten / Kota Provinsi Jawa Tengah dari tahun 2011 sampai 2015. Penelitian ini menggunakan data sekunder yang meliputi 35 Kabupaten / Kota di Jawa Tengah berdasarkan data <em>cross section</em> dan dari 2011 sampai dengan 2015 pada data time series. Metode analisis dari penelitian ini adalah <em>Fixed Effect Model</em> (FEM) atau <em>Least Square Dummy Variable</em> (LSDV). <em>Cross section dummy</em> diperlukan karena perbedaan karakteristik dan sumber daya pada masing-masing Kabupaten dan Kota. Hasil penelitian menunjukkan bahwa pertumbuhan PDRB berpengaruh positif dan signifikan terhadap tingkat kemiskinan. Tingkat rata-rata lama sekolah dan tingkat harapan hidup memberikan pengaruh negatif dan signifikan terhadap tingkat kemiskinan. Di sisi lain, tingkat pengangguran memberi pengaruh positif dan signifikan terhadap tingkat kemiskinan.</p><p><strong>Kata kunci:</strong> kemiskinan, pertumbuhan PDRB, rata-rata lama sekolah, tingkat harapan hidup, pengangguran</p><p> <em><strong><em></em></strong></em></p><p align="center"><strong><em>Abstract</em></strong></p><p><em><strong><em></em></strong><br /></em></p><p><em>The high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factors that affect. This research’s purpose is to identify several factors that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2015.</em></p><p><em>This research use secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2015 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). Cross section dummy is required due the differences of characteristics and resources on each Districs and Cities.</em></p><p><em>The results of this research show that Growth of PDRB gives positive and significant effect for poverty level. The Average School Year and Life Expectancy Rate give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level.</em><em></em></p><p><strong><em>Keywords</em></strong><em> : Poverty, Growth of PDRB, Average School Year, Life Expectancy Rate, Unemployment, Fixed Effect Model.</em><em></em></p>

scholarly journals Analisis Pengaruh PDRB, Tingkat Pengangguran, dan IPM Terhadap Tingkat Kemiskinan di Provinsi Jawa Tengah

2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Ridho Andhykha ◽  
Herniwati Retno Handayani ◽  
Nenik Woyanti
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Poverty Level ◽  
Dummy Variable ◽  
Central Java ◽  
Effect Model

<p><strong>Abstrak</strong></p><p>Tingginya tingkat kemiskinan di Jawa Tengah menunjukkan proses pembangunan ekonomi yang belum bisa meningkatkan kesejahteraan masyarakat secara merata. Dengan demikian, diperlukan adanya analisis untuk mengetahui factor-faktor yang mempengaruhi kemiskinan dalam rangka mengatasi kemiskinan. Tujuan dari penelitian ini yaitu menganalisis Produk Domestik Regional Bruto (PDRB), Tingkat Kemiskinan, Indeks Pembangunan Manusia (IPM) yang mempengaruhi kemiskinan pada 35 Kabupaten/Kota di Provinsi Jawa Tengah dari tahun 2011 hingga 2015. Penelitian ini menggunakan data sekunder dengan data cross-section terdiri dari 35 Kabupaten/Kota di Provinsi Jawa Tengah dan data time-series yaitu tahun 2011-2015. Alat analisis yang digunakan dalam dalam mengestimasi model regresi data panel yaitu <em>Fixed Effect Model (FEM)</em> atau disebut juga <em>Least Square Dummy Variable</em>. Hasil penelitian menunjukkan bahwa variabel laju pertumbuhan PDRB berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan. IPM berpengaruh negatif dan signifikan terhadap Tingkat Kemiskinan. Sedangkan Tingkat Pengangguran Terbuka berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan.</p><p> </p><p>Kata kunci:      Kemiskinan, Laju Pertumbuhan PDRB, Indeks Pembangunan                                 Manusia (IPM), <em>Fixed Effect Model</em>.</p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p><strong>Abstract</strong></p><p><em>The high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factor that affect. This research’s purpose is to identify Gross Domestic Regional Product (GDRP), Unemployment Level, Human Development Index (HDI) that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2016.</em><em> </em><em>This research uses secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2016 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). The results of this research show that Growth of GDRP gives positive and significant effect for poverty level. HDI give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level.</em></p><p><em> </em></p><p><em>Keyword:        Poverty, Growth of GDRP, Human Development Index (HDI), Unemployment, Fixed Effect Model.</em></p>

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals APLIKASI REGRESI DATA PANEL DENGAN PENDEKATAN FIXED EFFECT MODEL (STUDI KASUS: PT PLN GIANYAR)

2014 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
NI PUTU ANIK MAS RATNASARI ◽  
I PUTU EKA NILA KENCANA ◽  
G.K. GANDHIADI
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Panel data regression has three approaches. One of these approaches is Fixed Effect Model (FEM). FEM is common estimated using Least Square Dummy Variable. The use of dummy variable in FEM is based on assumption that slope coefficients are constant but intercept varies over individuals. One of application of FEM is to find out motivation of employees at PT PLN Gianyar for non-outsourcing and outsourcing employees based on existence, relatedness, and growth. This research yields the following two models:with 67% motivation non-outsourcing employees represented by existenceand73% motivation non-outsourcing employees represented by existence and growth.

scholarly journals Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

2018 ◽  
Vol 7 (3) ◽  
pp. 235-242
Author(s):  
Emi Megawati ◽  
Lesta Karolina Br Sebayang
Keyword(s):  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Simultaneous Test ◽  
Central Java ◽  
Effect Model ◽  
Independent Variable ◽  
Central Java Province

Berdasarkan data dari BPS, kemiskinan di Provinsi Jawa Tengah pada tahun 2011-2014 masih berada di peringkat kedua setelah DI Yogyakarta di Pulau Jawa-Bali. Penelitian ini menggunakan data panel dengan pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Sumber data yang diperoleh dari Badan Pusat Statistik (BPS) dan Direktorat Jendral Perimbangan Keuangan Indonesia. Hasil penelitian menunjukan bahwa variabel IPM berpengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Sedangkan variabel PDRB dan pembiayaan pendidikan berpengaruh tidak signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Hasil uji secara bersama-sama menunjukan bahwa secara keseluruhan variabel bebas secara bersama-sama dapat menunjukan pengaruhnya terhadap kemiskinan. nilai dari Adjusted R2 sebesar 0,995 yang berarti 99,5 persen kemiskinan dapat dijelaskan oleh variabel bebas. Sedangkan sisanya 0,50 persen dijelaskan oleh variabel di luar model. Based on data from BPS, during years 2011-2014 Central Java Province are in number 2 after DI Yogyakarta in Java-Bali. This research use panel data with Fixed Effect Model (FEM) approach and by using Geberalized Square (GLS) method. The data source is secondary data are obtained from the Central Statistics Agency and the Directorate General of Financial Balance Indonesia. The result of this research show that HDI variable give the negative and significant influence to the poverty in Central Java province. GDRP and financing of education not significant influence to the poverty in Central Java province. Simultaneous test results showed that, overall, the independent variable (HDI, GDRP and financing of education) together can show its effect on poverty. the value of Adjusted R2 of 0,995, which means 99,5 percent of poverty can be explained by the independent variable. While the remaining 0,50 percent is explained by variables outside the model.

scholarly journals The Effect of Regional Minimum Wage and Inflation on HDI in Central Java

2020 ◽  
Vol 18 (2) ◽  
pp. 152
Author(s):  
Siska Ardi Cahyanti ◽  
Sotya Fevriera
Keyword(s):  
Minimum Wage ◽  
Fixed Effect Model ◽  
Least Square ◽  
Variable Model ◽  
Fem Model ◽  
Positive Effects ◽  
Dummy Variable ◽  
Central Java ◽  
Effect Model ◽  
The Difference

Since 2017 Central Java has a high Human Development Index (HDI); its rank in 2019 is still the same as in 2010. The study investigates regional minimum wage and inflation facts in Central Java and how the HDI estimation model's constants differ differregency/city in different regions of Central Java. The study utilizes the Fixed Effect Model built using panel data for 2010-2019. It employs the Least Square Dummy Variable Model to get the difference constant for each regency and city in Central Java. The FEM model implies that the effects of RMW and inflation are the same for all regencies/cities, caused by the same cultural background. The results of this study show that RMW and inflation have significant positive effects on HDI and that cities tend to have higher constants compared to regencies

scholarly journals IMPACT OF INVESTMENT, LABOR, AND INFRASTRUCTURE ON JAVA ISLAND ECONOMIC GROWTH 2011-2017

2018 ◽  
Vol 1 (3) ◽  
pp. 230-241
Author(s):  
Maya Aprilia Sari
Keyword(s):  
Economic Growth ◽  
Local Governments ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Clean Water ◽  
Domestic Investment ◽  
Central Java ◽  
Effect Model

The study aims to determine and analyze the effect of investment, labor, and infrastructure on economic growth in Java in 2011-2017. This research is a quantitative study using secondary data from six provinces in Java (DKI Jakarta, West Java, Central Java, Special Region of Yogyakarta, East Java and Banten) obtained from the Central Statistics Agency. Analysis of the data used in this study is panel regression of fixed effect model data using the General Least Square (GLS) method. The results showed that individually the domestic investment variable, labor, clean water infrastructure had a significant influence on economic growth while foreign investment had no significant effect on economic growth. Suggestions: 1) local governments are expected to increase the potential of each region to attract investors; 2) local governments are expected to create a conducive investment climate and facilitate investment licensing; 3) local governments are expected to increase the allocation of education funds and provide training in foreign languages ​​and skills to the workforce; 4) local governments should make better plans for the distribution of clean water and improve the efficiency of the use of clean water.© 2019, Universitas Negeri Semarang Penelitian bertujuan untuk mengetahui dan menganalisis pengaruh investasi,tenaga kerja, dan infrastruktur terhadap pertumbuhan ekonomi di Pulau Jawa tahun 2011-2017. Penelitian ini merupakan penelitian kuantitatif menggunakan data sekunder enam provinsi di Pulau Jawa (DKI Jakarta, Jawa Barat, Jawa Tengah, Daerah Istimewa Yogyakarta, Jawa Timur, dan Banten) yang diperoleh dari Badan Pusat Statistik.Analisis data yang digunakan pada penelitian ini adalah regresi data panel model fixed effect menggunakan metode General Least Square (GLS). Hasil penelitian menunjukkan bahwa secara individu variabel penanaman modal dalam negeri, tenaga kerja, infrastruktur air bersih memiliki pengaruh signifikanterhadap pertumbuhan ekonomi sedangkanpenanaman modal luar negeri tidak berpengaruh signifikan terhadap pertumbuhan ekonomi. Saran: 1) pemerintah daerah diharapkan meningkatkan potensi setiap daerah agar menarik para investor; 2) pemerintah daerah diharapkan menciptakan iklim investasi yang kondusif dan mempermudah perizinan investasi; 3) pemerintah daerah diharapkan meningkatkan alokasi dana pendidikan dan memberikan pelatihan bahasa asing dan ketrampilan kepada tenaga kerja; 4) pemerintah daerah hendaknya membuat perencanaan distribusi air bersih yang lebih baik lagi dan meningkatkan efisiensi penggunaan air bersih.

scholarly journals PENGARUH BELANJA PEMERINTAH TERHADAP INDEKS PEMBANGUNAN MANUSIA: STUDI KASUS PROVINSI SULAWESI TENGGARA

2019 ◽  
Vol 12 (2) ◽  
pp. 74-91
Author(s):  
Marsel Palayukan
Keyword(s):  
Cross Section ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Effect Model

Penelitian ini bertujuan untuk melihat pengaruh belanja pemerintah terhadap pembangunan manusia di Provinsi Sulawesi Tenggara. Analisis pembangunan manusia difokuskan pada indikator pengeluaran pemerintah, yang merupakan rasio alokasi pengeluaran pemerintah bidang pendidikan dan kesehatan terhadap total produk domestik regional bruto, konsumsi rumah tangga untuk pendidikan dan kesehatan, serta menggunakan variabel kontrol yang terdiri dari pertumbuhan ekonomi, tenaga kerja dan pertumbuhan penduduk. Studi ini menggunakan data panel dengan analisis yang digunakan least square dummy variabel (LSDV) atau dikenal juga sebagai fixed effect model dengan metode poolled EGLS (cross section weight). Sedangkan untuk menjelaskan hubungan antar variabel dalam penelitian ini digunakan analisis deskriptif. Untuk meningkatkan indeks pembangunan manusia, maka pemerintah daerah harus meningkatkan pengeluaran untuk sektor publik, meningkatkan pendapatan per kapita melalui pertumbuhan ekonomi yang dilakukan dengan cara meningkatkan produktivitas daerah.

scholarly journals Pengaruh Indeks Pembangunan Manusia dan Angkatan Kerja terhadap Produk Domestik Regional Bruto

2018 ◽  
Vol 5 (4) ◽  
pp. 368-376
Author(s):  
Andini Mulyasari
Keyword(s):  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Development Index ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression

Tujuan penelitian ini adalah untuk menganalisis besaran pengaruh indeks pembangunan manusia dan angkatan kerja yang bekerja terhadap PDRB Kabupaten/Kota di Jawa Tengah Tahun 2010-2014. Penelitian ini menggunakan analisis regresi data panel melalui pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Hasil penelitian menunjukan bahwa secara bersama-sama variabel indeks pembangunan manusia dan angkatan kerja yang bekerja berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. Sedangkan hasil secara parsial menunjukan bahwa indeks pembangunan manusia berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah dan angkatan kerja yang bekerja juga berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. The purpose of this study was to analyze the influence of human development index and labor toward GRDP regency/city in Central Java 2010-2014. This study used panel data regression analysis through Fixed Effect Model (FEM) approach with the Generalized Least Square (GLS) method. The results of this study showed that the variable of human development index and labor has positive and significant influence to the GRDP  regency/city in Central Java. While the partial results showed that the index of human development have positive and significant influence to the GRDP regency/city in Central Java and the labor have positive and significant influence to the GRDP regency/city in Central Java.

Determinants of Foreign Direct Investment in ASEAN

2008 ◽  
Vol 43 (3) ◽  
pp. 21-51 ◽  
Author(s):  
P.R. Bhatt
Keyword(s):  
National Income ◽  
Least Square Method ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Fixed Effect ◽  
Least Square ◽  
Negative Sign ◽  
Significant Variable ◽  
Fdi Inflows ◽  
Effect Model

The ASEAN region has become one of the most attractive investment locations in the developing world. It attracted FDI to the tune of US$19 billion in 2003. Among ASEAN countries, Singapore topped the list with US$11 billion FDI inflows followed by Malaysia (US$2.5 bn), Brunei (US$.0 bn), and Vietnam (USɁ5 bn) in 2003. An attempt has been made in this paper to understand the determinants of FDI in ASEAN. The empirical model is estimated for five countries of ASEAN and ASEAN region as a whole for the period 1976-2003. The estimation of the model shows that there is a positive influence of the size of the economy (GNI) on FDI inflows in the case of Indonesia and Singapore. The infrastructure is significant for Indonesia and Malaysia in attracting FDI. Exchange rate had influence on FDI for Malaysia. The openness of the economy was significant in attracting FDI for Indonesia. The model is estimated for panel data of ASEAN region by pooled least square method and fixed effect model. In the case of pooled least square method, gross national income (GNI) is very significant and having expected sign. This implies that market size attracted FDI in the ASEAN region. The depreciation of the currency attracted FDI inflows in ASEAN as indicated by the variable XR which is significant with negative sign. Infrastructure is another significant variable in this model. Openness variable is significant but negative sign. When the model was estimated by fixed effect model it is found that all variables are significant with expected sign except in the case of the variable openness.

scholarly journals PENGARUH UPAH MINIMUM PROVINSI, PDRB DAN INVESTASI TERHADAP PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI DI PULAU JAWA TAHUN 2010-2016

2020 ◽  
Vol 1 (2) ◽  
pp. 169-190
Author(s):  
Desy Meilasari
Keyword(s):  
Minimum Wage ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Investment Climate ◽  
Central Java ◽  
Industrial Sectors ◽  
Effect Model ◽  
Data Regression ◽  
The Government

This research aims to analyze the effect of provincial Minimum wage (UMP), PDRB, and investment in theindustrial sector of labor absorption on Java island in 2010-2016. Data used is a data panel consisting of datatime series 2010 – 2016 and cross section six provinces namely DKI Jakarta, West Java, Central Java, INYogyakarta, East Java, and Banten. The Anaalisis tool used is a data regression panel i.e. Fixed Effect Model(FEM). The results showed that UMP has a significant effect on the labor absorption of the industrial sector onJava Island in 2010-2016. While the PDRB and investment have a positive and significant effect on the laborabsorption of industrial sectors in Java Island in 2010-2016. Through this research, the government expectsmore cautious and creating a conducive investment climate so that the value of PDRB is increasing.

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