scholarly journals Analysis of Factors Affecting the Number of Foreign Tourists to Indonesia

2021 ◽  
pp. 102-112
Author(s):  
Siti Riska Ulfah H ◽  
Lukytawati Anggraeni ◽  
Muhammad Firdaus
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Section Data ◽  
Foreign Tourist ◽  
Tourism Sector ◽  
The Exchange Rate ◽  
The Government

Indonesia's tourism potential can be used as the main driver of the Indonesian economy. This study aims to analyze the performance of the Indonesian tourism sector and analyze the factors that influence the number of foreign tourist visits to Indonesia. The method used in this research is a descriptive qualitative analysis method and static panel model analysis. The type of data used in this study is secondary data, including annual time series data for five years, from 2010 to 2014. It also includes cross-section data from nine countries that are the main visitors to the Indonesian tourism sector, namely Singapore, Malaysia, Australia, China, Japan, South Korea, Philippines, UK, and the USA. The development and growth of the performance of the Indonesian tourism sector increased in the period 2010 to 2014. The number of foreign tourist arrivals to Indonesia is influenced by the variables of Gross Domestic Product (GDP) per capita of the country of origin, economic distance, relative prices, and security dummy which have a significant effect on the number of foreign tourist visits to Indonesia, while the exchange rate and dummy travel warning variables have no significant effect. Therefore, the government needs to maintain the stability of the exchange rate and inflation rate as well as the coordination of related parties and institutions in maintaining political, economic, social stability and increasing the promotion of Indonesian tourism to foreign countries.

scholarly journals Determinant factors affecting the improvement of education index

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.

scholarly journals PENGARUH SUBSIDI BBM TERHADAP IMPOR MINYAK BUMI PERIODE 1980 – 2013

2017 ◽  
Vol 18 (1) ◽  
pp. 30
Author(s):  
Riwi Sumantyo ◽  
Puji Lestari
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Data Use ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Independent Variables ◽  
Fuel Subsidies ◽  
The Exchange Rate ◽  
The Government

The study on the effect of fuel subsidies toward oil import is a controversial topicdiscussions. This study will explore the effect of fuel subsidies on oil import by addingseveral independent variables, consist of; the number of vehichles, the exchange rateand inflation. Data use time series data from 1980-2013. The tool of analyze is OrdinaryLeast Squares Method (OLS).Based on the results show that the simultaneous testexplains that the fuel subsidies, the number of vehichles, the exchange rate, and inflationhave a significant effect on oil import. However partially, the variables of fuel subsidies,the number of vehichles, and the exchange rate have a positive and significant effecton oil import. Inflation does not affect on oil import. The coefficient of determinationuses Adjusted R-square test is about 98%. The implication of this study is governmentscan increase oil production Indonesia. The government should facilitate the licensing ofinvestment and rejuvenate the old oil wells. It aims to reduce Indonesia dependence onoil import so that it can save foreign exchange reserves.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

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.

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

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).

An Analysis of the Dynamic Relationships between Inflation Volatility, Exchange Rate and Output Gap Volatility in Turkey

2021 ◽  
Vol 11 (4) ◽  
pp. 4772-4787
Author(s):  
Sevilay Küçüksakarya ◽  
Mustafa Özer
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Output Gap ◽  
Bounds Testing ◽  
Inflation Volatility ◽  
Long Run ◽  
Study Results ◽  
Causality Tests ◽  
The Exchange Rate

This study investigates the short and long-run relationships between Inflation volatility, exchange rate, and output gap volatility using the ARDL bounds testing approach in Turkey. Also, we repeat the estimates by using the output gap as well. Moreover, we examine the causal relationship among these variables by using Toda-Yamamoto and frequency domain causality tests. For this purpose, the study uses quarterly time series data between 2005 Q1 and 2020 Q4. Both short and long-run results of the ARDL estimates indicate that there are statistically significant relationships between exchange rate and inflation volatility, between output gap volatility and inflation volatility, and between the output gap and inflation volatility. As expected long-run effect of the exchange rate on inflation, volatility is negative, and the effects of both output volatility and output gap on inflation volatility are positive. Also, causality tests results indicate that changes in the exchange rate, output gap volatility, and output gap will have permanent and temporary causal effects on inflation volatility. Therefore, the study results provide new evidence about the exchange rate, output gap volatility, and output gap. The policymakers should carefully consider these results to implement appropriate policies to reduce inflation volatility.

Analisis pengaruh makroekonomi terhadap dana pihak ketiga (DPK) dengan equivalent rate (ER) sebagai variabel intervening

2021 ◽  
pp. 100-123
Author(s):  
Salma Firdayanti Salma ◽  
Yusvita Nena Arinta Nena
Keyword(s):  
Exchange Rate ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Third Party ◽  
Series Data ◽  
Equivalent Rate ◽  
Negative Effect ◽  
Party Funding

This study aims to determine the Effect of Macroeconomics on Third-Party Funding (TPF) with the Equivalent Rate (ER) as the Intervening Variable (Case Study of Islamic Commercial Banks Period 2016-2020). This type of research is quantitative research which utilizes secondary data in the form of time-series data. Purposive sampling was used as the sampling method. The data that has been obtained later processed using the E-views version 9 application tool. Based on the results, it is shown that the Inflation, BI Rate, and Equivalent Ratevariables partially have a negative effect on TPF, while the Exchange Rate has a positive effect on TPF. Moreover, the variables of Inflation, Exchange Rate, and BI Rate have a positive and significant effect on the Equivalent Rate (ER). It is also found thatThe Equivalent Rate variable cannot mediate the effect of Inflation, Exchange Rate, and BI Rate on TPF.

Pengaruh Nilai Tukar (Kurs) dan Inflasi terhadap Tingkat  Non Performing  Financing (NPF) Pada Bank Syariah

2019 ◽  
Vol 2 (2) ◽  
pp. 214-224
Author(s):  
Muhammad Arfan Harahap ◽  
Anjur Perkasa Alam ◽  
Muspita Pradila
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Sampling Technique ◽  
Series Data ◽  
Islamic Banks ◽  
Exogenous Variables ◽  
Independent Variables ◽  
Analysis Technique ◽  
The Exchange Rate ◽  
Conventional Banks

The level of Non-Performing Financing at Islamic Banks is higher than conventional banks, while in terms of total assets, Islamic Banks are smaller. This study aims to analyze the effect of exogenous variables consisting of the level of inflation and the exchange rate of the rupiah against non Performing Financing in Islamic banks. This study uses time series data from 2016-2018. The population in this study consisted of Islamic Commercial Banks. The sampling technique used in this research is purposive sampling technique. The data analysis technique used is Multiple Linear Regression. The results showed that the inflation variable had a positive and significant effect on Non Performing Financing. While the Exchange Rate has no effect on Non Performing Finance. Meanwhile, simultaneously the two independent variables affect the independent variables.

scholarly journals Analysis of Effect Macro Variable on International Trade of Indonesia

2016 ◽  
Vol 6 (2) ◽  
pp. 228
Author(s):  
Evania Rahma Octavia ◽  
Dwi Wulandari
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
The Exchange Rate ◽  
Macro Variables

This study aims to determine the effect of macro variables which include Indonesia's real gross domestic income, money supply, consumer price index and interest rates on international trade mediated by the exchange rate of rupiah against the dollar. This type of research is descriptive research with quantitative approach. Determination of the sample based on quarterly time series data 2010-2014. This study uses path analysis. The results showed domestic gross product, the money supply, and interest rates together  have a significant effect on the exchange rate but the consumer price index do not have significant effect on the exchange rate. The results also show that the exchange rate has no significant effect on imports and exports. 

scholarly journals The Influence of Government Expenditure in Education and Health Sector on The Poverty in Gorontalo

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Windiyawati M Niuwa ◽  
Fahrudin Zain Olilingo ◽  
Ivan Rahmat Santoso
Keyword(s):  
Quantitative Methods ◽  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Education Sector ◽  
Series Data ◽  
Regression Equations ◽  
Fiscal Balance ◽  
The Government

This study aims to determine how much influence the Government Expenditure of Education Sector and Health Sector on Poverty in Gorontalo City. This research uses quantitative methods. The data used in this study are secondary data sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance Ministry of Finance using the econometrics method through multiple linear regression equations in the form of 10-year time series data (2008-2017). The results showed that 1) Education sector government expenditure has a positive effect on the level of poverty in Gorontalo City 2) Government health sector expenditure has a negative effect on poverty levels in Gorontalo City. Keywords: Poverty, Government Expenditure, Education Sector, Health Sector.

Sign in / Sign up

Export Citation Format

Share Document