scholarly journals Kesejahteraan, pengeluaran pemerintah sektor kesehatan dan harapan hidup di Provinsi Aceh: Sebuah pendekatan data panel

2019 ◽  
Vol 17 (1) ◽  
pp. 31-37
Author(s):  
Nanda Rahmi ◽  
Afdhal Putera
Keyword(s):  
Linear Regression ◽  
Life Expectancy ◽  
Regression Model ◽  
Linear Regression Model ◽  
Significant Relationship ◽  
Health Spending ◽  
Quantitative Approach ◽  
Domestic Product ◽  
Analysis Method

This study to investigate the effect of health spending and Gross Regional Domestic Product (GRDP) on life expectancy in Aceh. The data are collected for 23 districts in Aceh over 4 years from 2012-2016. The analysis method uses a quantitative approach with applying a linear regression model with data panel. The findings of this study indicated that health spending and GRDP have a positive and significant effect on life expectancy. Furthermore, GRDP has a positive and significant relationship with life expectancy.

scholarly journals Pengaruh pendapatan, kepercayaan dan religiusitas terhadap minat untuk membayar zakat penghasilan

2021 ◽  
Vol 1 (1) ◽  
pp. 12-24
Author(s):  
Sumadi Sumadi ◽  
Dini Priliastuti
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Research Model ◽  
Probability Sampling

This study aims to determine the effect of income, belief, and religiosity on the interest in paying zakat income (study of residents of Makamhaji Kartasura). This study uses a quantitative approach to the population of Makamhaji Kartasura Village residents. The sampling technique uses probability sampling to analyze the data using a multiple linear regression model. The results showed that income had no significant effect on the interest in paying zakat income. In contrast, trust and religiosity have a significant effect on the interest in paying zakat income. Meanwhile, simultaneous income, belief, and religiosity have influenced the residents of Makamhaji Kartasura Village to pay zakat income. This research model contributes to explaining the role of trust and religiosity on increasing zakat income.

scholarly journals PENGARUH INFLASI, BI RATE, KURS DAN INDEKS DOW JONES INDUSTRIAL AVERAGE TERHADAP JAKARTA ISLAMIC INDEX (JII)

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 87
Author(s):  
Muhammad Rasyid Ridha ◽  
Harmaini Harmaini
Keyword(s):  
Exchange Rate ◽  
Linear Regression ◽  
Regression Model ◽  
Foreign Exchange ◽  
Significant Influence ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Analysis Method ◽  
Dow Jones Industrial Average ◽  
Research Show

<em>This research discusses the influence of inflation, BI Rate, Exchange rate (IDR/USD) and Dow Jones Industrial Average</em>. <em>The analysis method used is multiple linear regression model with α = 5%. With EViews 9.0 applications.</em> <em>The results of this research show that inflation, BI Rate, Foreign Exchange and Dow Jones Industrial Average simultaneously had significant influence towards on the Jakarta Islamic Index (JII). Meanwhile, partially Inflation had positive and significant influence towards on the JII. BI Rate partially had negative and significant influence towards on the JII. But Exchange rate (IDR/USD) partially do not influence on the JII and Dow Jones partially had positive and significant influence towards on the JII</em>.

Faktor-Faktor Yang Mempengaruhi Permintaan Tahu Jawa

2020 ◽  
Vol 2 (2) ◽  
pp. 76-85
Author(s):  
Hotman tuah ◽  
Marlan ◽  
Fitria Nazar
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Confidence Level ◽  
Household Income ◽  
Family Income ◽  
Family Members ◽  
Analysis Method ◽  
Income Family

Tujuan penelitian ini adalah untuk menganalisis bagaimana pengaruh harga tahu jawa, pendapatan rumah tangga, jumlah tanggungan dan harga tempeterhadap permintaan tahu jawa di Kota Pematangsiantar.Metode analisis data yang digunakan adalah model regresi linier berganda yang diolah dengan program SPSS 23 dengan pengujian hipotesis yang terdiri dari koefisien (R2), uji F, dan uji t. Harga tahu jawa, pendapatan keluarga, jumlah anggota keluarga, dan harga tempe  mampu  menjelaskan variasi permintaan sebesar 46,6%, sedangkan  sisanya sebesar 53,4% & dijelaskan oleh faktor-faktor lain yang tidak disertakan dalam persamaan. Secara bersama-sama,variabel harga tahu jawa,pendapatan rumah tangga, dan jumlah anggota keluarga, dan harga tempe  berpengaruh secara tidak nyata terhadap permintaan tahu jawa. Secara parsial, pendapatan konsumen berpengaruh nyata terhadap permintaan tahu jawa pada tingkat kepercayaan 95% Nilai thitung (2,216) dan hipotesis dapat diterima. sedangkan  harga tahu jawa, harga tempe, jumlah anggota keluarga tidak berpengaruh nyata terhadap permintaan tahu jawa.    ABSTRACT  The purpose of this research is to analyze how the influence of Javanese tofu price, household income, number of dependents and price of tempeh to the request of tofu Jawa in Pematangsiantar city. The data analysis method used is a double linear regression model that is processed with the SPSS 23 program with hypothesis testing consisting of coefficient (R2), test F, and T test. Javanese tofu prices, family income, family members, and Tempe prices were able to explain the variation in demand by 46.6%, while the remaining of 53.4% & explained by other factors not included in the equation. Together, variable prices of Javanese tofu, household income, and the number of family members, and the price of Tempe effect is not noticeable to the demand for Javanese tofu. Partially, the consumer income has a real impact on the demand for Javanese tofu at a confidence level of 95% of the Thitung value (2.216) and the hypothesis acceptable. While the price of Tofu Jawa, Tempe Price, the number of family members does not affect the demand for Javanese tofu.

scholarly journals Disaggregation and Forecasting of the Monthly Indonesian Gross Domestic Product (GDP)

2018 ◽  
Vol 20 (4) ◽  
pp. 497-526
Author(s):  
Profita Sumunar Luthfiana ◽  
Nasrudin Nasrudin
Keyword(s):  
Linear Regression ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Linear Regression Model ◽  
Domestic Product ◽  
Simple Linear Regression ◽  
Production Index ◽  
Simple Linear Regression Model ◽  
The Third ◽  
Economic Outlook

Gross Domestic Product (GDP) is considered as the best measure of economicperformance. However, in Indonesia, the GDP is presented in quarterly aggregate value.As a result, the monthly economic outlook is unknown, and analysis with other monthlyeconomic variables becomes limited. Therefore, this study will disaggregate quarterlyGDP into monthly GDP and its forecasting by using one of the coincident indicatorswhich are monthly Production Index of Large and Medium Manufacturing (industrialproduction index). Disaggregation is done on National GDP data of Indonesia period2000/I to 2016 / IV, whereas forecasting is made on monthly and quarterly GDP 2017.This study uses a combination of the simple linear regression model and ARIMA modelwith some modifications. The disaggregation result indicates that the monthly GDPmoves volatile and has a different pattern between quarters. Also, the monthly GDPdisaggregation and forecasting are proven that can be used by industrial productionindex that becomes a coincident indicator. GDP 2017 shows that the highest quarterlyGDP will have occurred in the third quarter, whereas the highest monthly GDP willhave occurred in June (second quarter). The result of disaggregation can be used furtherto the study of economic outlook will be more comprehensive.

scholarly journals Analysis of the correlation between the Gross Domestic Product and the final consumption of electricity

2020 ◽  
Vol 14 (1) ◽  
pp. 59-73
Author(s):  
Liviu Valentin Vlăducu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Linear Regression Model ◽  
Electricity Consumption ◽  
Domestic Product ◽  
Efficiency Measures ◽  
The Moment

AbstractWhile the economy has shown clear signs of recovery, in quantitative terms, after the moment of the global crisis, energy production has returned to the level before the crisis, only since 2011. In this context, this paperwork aims to carry out an analysis on the existence of a correlation between the Gross Domestic Product registered in Romania and the final annual consumption of electricity. The databases used involve the data recorded for the period 2000-2018. Over time, in the specialty literature, there have been two approaches regarding the link between the economic growth and the energy consumption, respectively an approach starts from the idea that in order for economic growth to occur, energy consumption must increase, and another promotes the idea that economic growth can reduce energy consumption, by applying energy efficiency measures. To perform the analysis, a simple linear regression model was initially used in which we considered the Gross Domestic Product as a dependent variable and the Electricity Consumption as an explanatory factor (independent variable). Subsequently, analysing the results, a quadratic linear regression model was used to test the hypothesis of a more complex link between the two indicators. Following the tests performed on the two chosen variables, the Gross Domestic Product of Romania and the Final Electricity Consumption, can be argued that the energy intensity of the economy increases as economic growth reaches a certain threshold. After that threshold, economic growth is associated with the relative decrease in energy consumption.

Investigating the Written Exam Scores’ Prediction Power of TEOG Exam Scores

2017 ◽  
Vol 6 (1) ◽  
pp. 31 ◽  
Author(s):  
Hakkı Kontaş ◽  
Esen Turan Ozpolat
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Significant Relationship ◽  
School System ◽  
Research Data ◽  
Screening Model ◽  
Exam Scores ◽  
High Level ◽  
Academic Year

The purpose of this study was to investigate exam scores’ predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear regression model was used for the analysis of data. The analysis results proved that there was a high level significant relationship between exam scores and TEOG exam scores.

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