Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014–2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014–2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

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Faktor-Faktor yang Mempengaruhi Alih Fungsi Lahan Sawah di Kabupaten Aceh Besar

Jurnal Ilmiah Mahasiswa Pertanian ◽

10.17969/jimfp.v3i4.9394 ◽

2018 ◽

Vol 3 (4) ◽

pp. 525-533

Author(s):

Raudhatul Husna ◽

Azhar Azhar ◽

Edy Marsudi

Keyword(s):

Time Series ◽

Population Density ◽

Rice Field ◽

Time Series Data ◽

Statistical Tests ◽

Secondary Data ◽

Series Data ◽

Factors Affecting ◽

Rice Productivity ◽

Negative Impacts

Abstrak. Alih fungsi lahan atau lazimnya disebut sebagai konversi lahan adalah perubahan fungsi sebagian atau seluruh kawasan lahan dari fungsinya semula (seperti yang direncanakan) menjadi fungsi lain yang membawa dampak negatif terhadap lingkungan dan potensi lahan itu sendiri. Penelitian ini bertujuan untuk mengetahui apakah harga lahan, kepadatan penduduk, produktivitas padi dan jumlah PDRB dapat mempengaruhi alih fungsi lahan sawah di Kabupaten Aceh Besar. Data yang digunakan dalam penelitian ini adalah data sekunder. Data yang dikumpulkan adalah data time series dengan range tahun 2002 sampai 2016. Penelitian ini menggunakan metode analisis regresi linier berganda. hasil penelitian dan pembahasan serta pengujian SPSS menunjukkan bahwa harga lahan, kepadatan penduduk, dan produktivitas padi berpengaruh nyata terhadap alih fungsi lahan sawah di Kabupaten Aceh Besar. sedangkan jumlah PDRB tidak berpengaruh terhadap alih fungsi lahan sawah. Hal ini ditunjukkan oleh koefisien regresi untuk variabel jumlah PDRB sebesar 0,00015. Hasil pengujian statistik menunjukkan nilai t hitung untuk jumlah PDRB sebesar 1,315 dengan nilai signifikan sebesar 0,218. Sedangkan nilai t tabel sebesar 1,782 yang berarti nilai t hitung t tabel (1,315 1,782). Factors Affecting The Conversion Of Paddy Fields In Kabupaten Aceh Besar Abstract. Land use change or commonly referred to as land conversion is a change in the function of part or all of the land area from its original function (as planned) into other functions that bring negative impacts to the environment and the potential of the land itself. This study aims to find out whether the price of land, population density, rice productivity and the amount of GRDP can affect the conversion of rice field functions in Aceh Besar District. The data used in this research is secondary data. The data collected is time series data with range of year 2002 until 2016. This research use multiple linier regression analysis method. the results of research and discussion and testing of SPSS showed that land price, population density, and rice productivity significantly affected the conversion of wetland in Aceh Besar district. while the number of GDP does not affect the conversion of wetland. This is indicated by the regression coefficient for the GRDP variable of 0.00015. The results of statistical tests show the value of t arithmetic for the amount of GRDP by 1.315 with a significant value of 0.218. While the value of t table of 1.782 which means the value of t arithmetic t table (1,315 1.782).

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Determinant factors affecting the improvement of education index

Jurnal Penelitian dan Evaluasi Pendidikan ◽

10.21831/pep.v25i1.40160 ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

Jalil Setiawan Jamal ◽

Muslim Salam ◽

Andi Nixia Tenriawaru ◽

Didi Rukmana ◽

Muhammad Hatta Jamil ◽

...

Keyword(s):

High School ◽

Elementary School ◽

Panel Data ◽

Junior High School ◽

Time Series Data ◽

Junior High ◽

Secondary Data ◽

Series Data ◽

Factors Affecting ◽

Section Data

The Human Development Index (HDI) of the Selayar Islands Regency experienced an insignificant improvement. The low education index causes the low HDI achievement of the Selayar Islands Regency because the achievement of education index is lower than the health index and the expenditure index. Therefore, it is very necessary to improve the education index. This study aims to analyze the factors that influence the education index. This study uses secondary data in the form of panel data which is a combination of time series data from 2014 to 2019 and cross section data from 11 sub-districts. Panel data to measure the factors that affect the Education Index were analyzed using regression analysis. The results showed that the teacher to student ratio at elementary school had a negative effect on the education index, the class to student ratio at elementary school had a positive effect on the education index, while the school to student ratio at elementary school, school to student ratio at junior high school, class to student ratio at junior high school and teacher to student ratio at junior high school had no effect on the education index.

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Analisis Pengaruh Tingkat Inflasi Dan Tingkat Bagi Hasil Terhadap Profitabilitas Pada Bank Umum Syariah Di Indonesia

Jurnal Ilmiah Manajemen Kesatuan ◽

10.37641/jimkes.v9i2.763 ◽

2021 ◽

Vol 9 (2) ◽

pp. 121-130

Author(s):

Destiana Dwi Nita ◽

Muhammad Ariffin ◽

Neni Nurisniani

Keyword(s):

Data Analysis ◽

Panel Data ◽

Inflation Rate ◽

Regression Coefficient ◽

Secondary Data ◽

Profit Sharing ◽

Series Data ◽

Return On Assets ◽

Panel Data Regression ◽

Data Regression

This study aims to determine the effect of Inflation Rate and Profit Sharing Rate on Sharia Commercial Bank Profitability in Indonesia. The independent variable (independent) in this study is the level of inflation and the level of profit sharing, while profitability is the dependent variable. In this study, researchers used Return on Assets (ROA) as an indicator for profitability. The method used is descriptive method and verification method. The data used are secondary data sourced from Financial Statements that have been published by Bank Muamalat Indonesia, Bank Rakyat Indonesia (BRI) Syariah, Bank Bukopin Syariah, Bank Negara Indonesia (BNI) Syariah, and Bank Central Asia (BCA) Syariah. The data analysis technique used is panel data regression analysis and classic assumption test, because the data used are secondary data and the type of data used is a combination of cross section data and time series data. Data processing techniques using the help of Eviews 9 program. Based on data analysis that has been done using panel data regression and classical assumption tests, it is found that the Inflation Rate has a negative and significant effect on Return on Assets (ROA), this result is evidenced by the significance value of 0,0012 and the regression coefficient shows a figure of -0,0817. Level of Profit Sharing is positive and significant effect, this result is evidenced by the significance value of 0.0000 and the regression coefficient shows a figure of 0,1644. The coefficient of determination (R-square) value is 77,26%. Keywords: Inflation Rate, Profit Sharing Rate, Return on Assets (ROA).

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PENERAPAN ANALISIS REGRESI DATA PANEL PADA INDEKS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA BARAT

Jurnal Natural ◽

10.30862/jn.v16i2.118 ◽

2020 ◽

Vol 16 (2) ◽

pp. 120-128

Author(s):

Desti Setya Ningsih ◽

Esther Ria Matulessy ◽

Dariani Matualage

Keyword(s):

Regression Analysis ◽

Panel Data ◽

Time Series Data ◽

Equation Model ◽

Series Data ◽

Model Parameters ◽

Test Model ◽

Panel Data Regression ◽

Data Regression ◽

West Papua

Panel Data Regression Analysis is a combination of time series data and cross section data. The purpose of this study is to determine the best model for panel data regression analysis on HDI in West Papua Province and to determine the HDI model in West Papua Province. The data used in this study are West Papua data in the 2019 Publication Figures and 2019 Publication Human Development Index data. In the process of determining the best model, estimating model parameters with 3 approaches namely CEM, FEM and REM, then testing model selection, classical assumption test, model equation checking and finally model interpretation. The results of this study indicate that the best regression model is FEM with individual effects and time effects with a good model of 91% which means that HDI in West Papua Province is explained by GRDP, RLS, JPM and UHH. The equation model is as follows: Based on the equations that have been obtained, the variables that have a significant effect on HDI in West Papua Province are RLS and UHH.

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ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

10.31124/advance.7445900.v1 ◽

2019 ◽

Author(s):

Basri Bado

Keyword(s):

Natural Resources ◽

Time Series Data ◽

Secondary Data ◽

Series Data ◽

Income Per Capita ◽

Section Data ◽

Panel Data Regression ◽

Data Regression ◽

Per Capita

The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017). The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.

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TINJAUAN DEFISIT FISKAL, EKSPOR, IMPOR DAN JUMLAH UMKM TERHADAP PERTUMBUHAN EKONOMI INDONESIA

Jurnal Benefita ◽

10.22216/jbe.v5i2.4907 ◽

2020 ◽

Vol 5 (2) ◽

pp. 151

Author(s):

Erni Febrina Harahap ◽

Luviana Luviana ◽

Nurul Huda

Keyword(s):

Economic Growth ◽

Time Series ◽

Time Series Data ◽

Estimation Method ◽

Secondary Data ◽

Fixed Effect ◽

Series Data ◽

Important Indicator ◽

Panel Data Regression ◽

Data Regression

<div class="WordSection1">Economic growth is one of most important indicator in analyze the economic development in a state. This research purpose to analyze how much the influence of fiscal deficits, export, import, and total UMKM to Indonesian economic growth. The type of data used in this research is secondary data in the form of time series data and was obtained from some government institutions. The estimation method used is panel data regression with the fixed effect approach period 2010 - 2017. From the results of this research refer that fiscal deficit, import and total UMKM have a significant to Indonesian economic growth, while export not significant to Indonesian economic growth.</div>Pertumbuhan ekonomi merupakan salah satu indikator yang sangat penting dalam melakukan analisis pembanguan ekonomi di suatu negara. Penelitian ini bertujuan untuk menganalisis seberapa besar pengaruh defisit fiskal, ekspor, impor, jumlah UMKM terhadap Pertumbuhan Ekonomi Indonesia. Jenis data yang digunakan dalam penelitian ini adalah data sekunder yang berupa data time series dan diperoleh dari beberapa lembaga pemerintah. Metode estimasi yang digunakan adalah regresi data panel dengan pendekatan fixed effect periode 2010 – 2017. Dari hasil penelitian menunjukkan bahwa defisit fiskal, impor dan jumlah UMKM berpengaruh signifikan terhadap Pertumbuhan Ekonomi Indonesia, sedangkan ekspor tidak berpengaruh signifikan terhadap pertumbuhan ekonomi Indonesia.

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ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

10.31124/advance.7445900 ◽

2019 ◽

Author(s):

Basri Bado

Keyword(s):

Natural Resources ◽

Time Series Data ◽

Secondary Data ◽

Series Data ◽

Income Per Capita ◽

Section Data ◽

Panel Data Regression ◽

Data Regression ◽

Per Capita

The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017). The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.

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EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

International Journal of Engineering Technologies and Management Research ◽

10.29121/ijetmr.v8.i3.2021.875 ◽

2021 ◽

Vol 8 (3) ◽

pp. 18-26

Author(s):

Boye AYANTOYINBO ◽

Adeolu GBADEGESIN

Keyword(s):

Regression Analysis ◽

Panel Data ◽

Financial Performance ◽

Performance Indicators ◽

Secondary Data ◽

Manufacturing Companies ◽

Panel Data Regression ◽

Data Regression ◽

The Subject ◽

Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data. The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

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Factors affecting net interest margin of joint-stock commercial banks in Vietnam

Journal of Asian Business and Economic Studies ◽

10.24311/jsabes/2017.24.1.01 ◽

2017 ◽

Vol 24 (01) ◽

pp. 92-103

Author(s):

An Pham Hoang ◽

Loan Vo Thi Kim

Keyword(s):

Commercial Banks ◽

Secondary Data ◽

Regression Method ◽

Factors Affecting ◽

Managerial Efficiency ◽

Net Interest Margin ◽

Panel Data Regression ◽

Data Regression ◽

Negative Effect ◽

Interest Margin

This study analyzes factors affecting net interest margin of joint-stock commercial banks in Vietnam. The paper uses the secondary data of 26 banks with 182 observations for the period of 2008–2014 and applies the panel data regression method. The empirical results indicate that lending scale, credit risk, capitalization, and in-terest rate have positive impacts on net interest margin. In contrast, managerial efficiency has a negative effect on net interest margin. However, bank size and loan to deposit ratio are statistically insig-nificant to net interest margin.

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