cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Wisnu Rayhan Adhitya
Contact Email
wisnurayhanadhitya@unimed.ac.id
Phone
-
Journal Mail Official
imaipita@gmail.com
Editorial Address
Jl. Williem Iskandar PS V. Medan Estate Medan 20221
Location
Kota medan,
Sumatera utara
INDONESIA
Quantitative Economics Journal
Published by Universitas Negeri Medan
ISSN : 20897847     EISSN : 20897995     DOI : 10.24114
Core Subject : Economy,
Economics, Econometrics & Finance
This journal is contained with the articles that cover the economics area that derived from the research and engineering ideas that are quantitative. The viewers, authors and future authors that expressed in this publication do not necessarily reflect the Department of Economics, Post Graduate Program, State University of Medan
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 12 No. 1 (2023): APRIL 2023" : 5 Documents clear
Chinese GDP Forecast Using ARIMA Model Ali, Fawaz Hamood Abdulazis Abdol
Quantitative Economics Journal Vol. 12 No. 1 (2023): APRIL 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i1.42058

Abstract

China's economy is very interesting to analyze because it is recognized as the highest GDP inthe world. Despite the ability of China's economy to reform and grow, China shows fluctuationin its economy especially after the crisis in 1997 and 2008. When China was able to counterthe 2008 financial crisis, unfortunately starting from 2010 the GDP growth started to decreaseagain. Therefore, the objective of this research is to analyze the GDP of China in twoconsecutive years of 2016 and 2017 using the ARIMA. The journal that will be used uses atime series. time series is commonly used for series of data obtained chronologically. Thefuture value of a time series can most likely be predicted through its current and past values.This research uses EViews software. Eviews software can be called a combination of softwarespecifically made to process data on time series. This research also uses the ModelAutoregressive Integrated Moving Average (ARIMA) method, a time series estimationmethod, which can be used with EViews software. Based on the EViews software, theforecasting process with the ARIMA model is illustrated in this work, namely, China's GrossDomestic Product (GDP) estimated from 2016 to 2018.
INDONESIAN FAMILY ECONOMIC PRODUCT BRAND COMPETITION Pane, Dewi; El Fikri, Miftah
Quantitative Economics Journal Vol. 12 No. 1 (2023): APRIL 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i1.45464

Abstract

This research was conducted to determine how the influence of Brand Image (X1), Product Quality (X2), Promotion (X3), and Price (X4) on Purchase Decision (Y) of the BuKrim brand detergent product. The population in this research did not know with certainty, but the number of samples used was 97 respondents who were calculated by the Zikmund formula. The sampling technique used was accidental sampling. The research was conducted in Medan City. The research was conducted in 2020. This research used quantitative data processed with the SPSS version 24.0 application with multiple linear regression models. The data source used was the primary data taken directly from respondents. The results showed that brand image, product quality, promotion, and price had a positive and significant effect both partially and simultaneously on purchasing decisions for BuKrim brand detergent products. The product quality variable was the most dominant variable in influencing purchasing decisions. Brand image, product quality, promotion, and price contributed 86.9% in the formation of purchasing decisions. Brand image, product quality, promotion, and price had a very strong relationship to purchasing decisions.
THE EFFECT OF POPULATION AND PMDN ON GRDP IN NORTH SUMATRA 2001-2020 PERIOD Segoro, Ega Bayu; Evander Pardos, Evander; Nadeak, Feronika Daoni; Ginting, Hawariyah; Aulia, Shafa; Hidayat, Nasrullah; Hutasuhut, Saidun
Quantitative Economics Journal Vol. 12 No. 1 (2023): APRIL 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i1.45465

Abstract

The Gross Regional Domestic Product (GDP) is the main indicator of the economic condition of a region at all times, either based on current prices or constant prices. Total population and domestic investment have an impact on increasing and decreasing GRDP of a region. An increase in population is likely to increase the GRDP of a region, as will an increase in domestic investment, especially in the form of employment which will increase domestic productivity.
ANALYSIS OF THE INFLUENCE OF UNEMPLOYMENT, WORK FORCE, AND TOTAL POPULATION ON POVERTY IN NORTH SUMATRA PROVINCE 2005-2020 Sinaga, Erwin Satrio Hamonangan; Simanjuntak, Monica Emilina; Agitha Tarigan, Netania Perbi; Siregar, Rahmadani
Quantitative Economics Journal Vol. 12 No. 1 (2023): APRIL 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i1.45466

Abstract

North Sumatra Province is experiencing problems in various sectors of life. The economic sector is one of the important sectors that influences the course of other sectors of life. poverty as one of the problems that arise in the economic sector is the focus of the studies examined in this study. The purpose of this study was to determine the effect of unemployment, labor force, and population on poverty in the province of North Sumatra. This study uses multiple regression analysis method, using secondary data as a source of study. The secondary data obtained will be processed using the eviews application. The results of the study show that unemployment and population each have a significant effect on poverty,
Analysis of the Influence of GDP and Open Unemployment Rate on Poverty Levels in Central Java Province Tarigan, Andini; Buana, Bima Arya; Nababan, Dian Millennium; Putri, Devi Cahya; Hutasoit, Hosiana Febby; Manik, Lolona; Pakpahan, Mika Yohana; Nugrahadi, Eko Wahyu
Quantitative Economics Journal Vol. 12 No. 1 (2023): APRIL 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v12i1.45467

Abstract

The high level of poverty in Central Java shows that the process of economic development has not been able to increase the welfare of society equally. Thus, an analysis is needed to determine the factors that influence poverty in order to overcome poverty. The purpose of this study is to analyze the gross regional domestic product (GRDP), the poverty level, the unemployment rate in the Central Java region. This study uses data from BPS with data on dependent and independent variables in the years 2001-2020. The analytical tool used in estimating the regression model is using the eviews application. The results showed that the GNP variable is negative and has a significant effect on poverty in Central Java, and the employment rate effect is positive and significant on poverty in Central Java.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 14 No. 1 (2025): APRIL 2025 Vol. 13 No. 2 (2024): OKTOBER 2024 Vol 13, No 1 (2024): APRIL 2024 Vol. 13 No. 1 (2024): APRIL 2024 Vol 12, No 2 (2023): OKTOBER 2023 Vol. 12 No. 2 (2023): OKTOBER 2023 Vol. 12 No. 1 (2023): APRIL 2023 Vol 12, No 1 (2023): APRIL 2023 Vol 11, No 2 (2022): OKTOBER 2022 Vol 11, No 1 (2022): APRIL 2022 Vol 10, No 1 (2021) Vol 10, No 2 (2021): Oktober 2021 Vol 10, No 1 (2021): APRIL 2021 Vol 9, No 2 (2020): OKTOBER 2020 Vol 9, No 1 (2020): APRIL 2020 Vol 8, No 2 (2019) Vol 8, No 1 (2019) Vol 7, No 3 (2018) Vol 7, No 2 (2018) Vol 7, No 1 (2018) Vol 6, No 3 (2017) Vol 6, No 2 (2017) Vol 6, No 1 (2017) Vol 5, No 4 (2016) Vol 5, No 3 (2016) Vol 5, No 2 (2016) Vol 5, No 1 (2016) Vol 4, No 4 (2015) Vol 4, No 3 (2015) Vol 4, No 2 (2015) Vol 4, No 1 (2015) Vol 3, No 4 (2014) Vol 3, No 3 (2014) Vol 3, No 2 (2014) Vol 3, No 1 (2014) Vol 2, No 4 (2013) Vol 2, No 3 (2013) Vol 2, No 2 (2013) Vol 2, No 1 (2013) Vol 1, No 4 (2012) Vol 1, No 3 (2012) Vol 1, No 2 (2012) Vol 1, No 1 (2012) More Issue