Jurnal Ekonomi Pembangunan
JOURNAL OF ECONOMICS DEVELOPMEN (JEP) is a journal of Economics Development issued by Faculty of Economics and Business Lampung University. JEP is issued three times a year on April, August and December. The Redaction Board accept only research in the field of legal science that already in the form of journal article to be considered for publication.
The aims of JEP is to provides immediate open access to its content in the principle of making research freely available to the public as a support for the greater global exchange of knowledge. JEP is available in both print and online version. Language used in this journal is English or Indonesian.
Scope of articles published in JEP is consist of a broad range of topic in the field of economics including Public Economics, Development Economics, Monetary Economics, regional economics, and plann economics
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<![CDATA[KEPUTUSAN INDIVIDU MELAKUKAN MOBILITAS NON-PERMANEN KE KOTA BANDAR LAMPUNG DI PROVINSI LAMPUNG ]]>
<![CDATA[Budiarty, Ida]]>;
<![CDATA[Emalia, Zulfa]]>;
<![CDATA[Hapsari, Cindy Nurul]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i1.647
<![CDATA[This study explores individual decisions in carrying out natural non-permanent mobility activities to the city of Bandar Lampung. Non-permanent migration increased by 300 percent during 2016-2018. The data used in this research is the 2018 Sakernas micro data for August. Data analysis using the Binary Logistic Regression. The findings show that the variation in the independent variable is able to explain the variation in the dependent variable by 52 percent.. All independent variables (age, wages, education, and distance) are statistically significant in influencing individual decisions to undertake non-permanent migration, except for the variable marital status. The highest odds ratio value for the distance variable, then the education variable. This means that the closer the distance to Bandar Lampung and the better the individual's education, the higher the probability of non-permanent migration to the city of Bandar Lampung. Variable selection is limited due to adjusting the supply of Sakernas micro data files. In the future, it is very important for the government to understand this temporary mobility movement in order to control the short-term and long-term implications of achieving a more equitable distribution of wealth in Lampung Province. Equitable development between urban and rural areas needs to be realized immediately in reducing income inequality and development.]]>
<![CDATA[ANALISIS DAYA SAING EKONOMI KABUPATEN/KOTA DI PROVINSI LAMPUNG ]]>
<![CDATA[Yulianita, Anna]]>;
<![CDATA[Muflicha, Haqqie]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i2.1150
<![CDATA[This study tries to use the calculation of economic competitiveness analysis which is seen from four indicators, namely the four indicators used to provide a score, namely consumption expenditure per capita, GRDP per capita, GRDP, and the level of employment opportunities in the regency/city of Lampung province using the Standard Deviation value approach. , then followed by analysis of panel regression data to see the effect of economic growth and the Human Growth Index on the value of the Economic Competitiveness Index in 16 regencies/cities of Lampung Province in 2015-2019. The results of the study show that from index calculations I compare the economy in the district/city of Lampung province for 5 years 16 districts/cities are always inconsistent except for the city of Lampung which has a rating of 1 with an average value of 20.77 in 2016-2019 and inversely proportional to the city metro. This research will further provide an economic analysis of how economic growth and the human development index affect the influence of economic competition, where the results of the analysis using the panel data regression method show that the model chosen by Fixed Effect Model (FEM) has an influence between HDI and the Economic Competitiveness Index with a probability of 0.002 in the negative direction while Economic Growth has no effect on the prob value of 0.377.]]>
<![CDATA[Analysis of Human Development Index, Government Expenditure, Exports and Imports on Economic Growth in ASEAN-5 ]]>
<![CDATA[Rohima, Siti]]>;
<![CDATA[Junaidi, Junaidi]]>;
<![CDATA[Nasyaya, Annada]]>;
<![CDATA[Hamira, Hamira]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i2.1171
<![CDATA[This study aims to analyze the Human Development Index, Government Expenditure, Exports and Imports on Economic Growth in Singapore, Philippines, Malaysia, Thailand, and Indonesia. Using secondary data the period 2010-2021. The method used is the Quantitative method using Panel Data Regression. Results of panel data regression, export variable product has a positive and significant effect on economic growth. These results reveal that to increase economic growth, it is necessary to increase export performance. Increasing export performance can be done in various ways, one of which is by improving the export administration system, increasing research and product development, improving infrastructure facilities and infrastructure, exchange rate stability and expanding non-traditional markets]]>
<![CDATA[KLASIFIKASI INFLASI 34 IBUKOTA PROVINSI DI INDONESIA SEBELUM DAN SAAT COVID-19 MELALUI PENGELOMPOKAN WILAYAH DENGAN K-MEANS CLUSTERING ]]>
<![CDATA[Etrisia, Novi]]>;
<![CDATA[Alexandi, Muhammad Findi]]>;
<![CDATA[Asmara, Alla]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i2.1597
<![CDATA[The magnitude of the national inflation rate is the formation of aggregate figures from regional inflation. Formulating policies that target inflation is increasingly complex in the era of regional autonomy because each region has different factors and conditions that make it difficult to control. For this reason, special attention is needed in dealing with regional inflation. This study aims to classify regional inflation that occurred in Indonesia before and during the Covid-19 pandemic through a clustering approach using the K-Means Clustering method. The secondary data used in this study comes from the Central Bureau of Statistics (BPS) publications of the Republic of Indonesia. The results showed that after clustering, there were 19 provinces (55.88%) that experienced a decrease in the cluster level, 6 provinces (17.64%) experienced an increase in the cluster level and 9 provinces (26.4%) were stable at the cluster level. Overall, the Covid-19 outbreak that has hit the world economy has harmed provinces in Indonesia. This can be observed from the largest percentage of clusters, namely provinces that experienced a decrease in the inflation category, which was 55.88% and the highest number of provinces which were originally in 2017 were in cluster 3 (high inflation category) in 2021 which shifted to cluster 1 (inflation category). low). Based on the Paired Sample T-Test, there was a significant difference in clustering before Covid-19 (2017) and during Covid-19 (2021).]]>
<![CDATA[Pengaruh Online Trust Dan Kualitas Produk Terhadap Minat Beli Ulang Dengan Kepuasan Konsumen Sebagai Variabel Intervening Pada Marketplace Shopee ]]>
<![CDATA[Sputra, Vito Rizaldi Yuda]]>;
<![CDATA[Udayana, IBN]]>;
<![CDATA[Ningrum, Nonik Kusuma]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i2.1965
<![CDATA[This research aims to examine the influence of Online Trust and Product Quality on Repurchase Intentions by using Consumer Satisfaction as an intervening variable on Shopee Marketplace. This research uses a quantitative type of research, with a sampling technique using purposive sampling with non-probability sampling. So, this research took a sample of 120 Shopee users. This research uses primary data by distributing questionnaires in the form of closed and open questions given to respondents via the internet. The data was analyzed using SPSS 26.0 and a support application, namely Microsoft Excel 2019. From the research conducted, it is found that Online Trust did not have a positive and significant effect on Repurchase Intention on Shopee marketplace, Product Quality had a positive and significant effect on Purchase Intention Again on Shopee marketplace, Online Trust has a positive but not significant influence on Consumer Satisfaction on Shopee marketplace on the Shopee marketplace, Product Quality has a positive and significant influence on Consumer Satisfaction on Shopee marketplace, Consumer Satisfaction has a positive and significant influence on Repurchase Intention on Shopee marketplace.]]>
<![CDATA[PENGARUH PENDIDIKAN DAN KESEMPATAN KERJA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA ]]>
<![CDATA[Abidin, Maulana]]>;
<![CDATA[Addainuri, Muhammad Isbad]]>;
<![CDATA[Suci, Lestari Etika]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
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DOI: 10.23960/jep.v12i2.2079
<![CDATA[Development is a multidimensional process or approach that involves various perspectives, including fundamental changes to social structures, community attitudes, and national institutions. In addition to continuing to accelerate economic growth, it also addresses income inequality and eradicates poverty. The method used is quantitative with the Ordinary Least Square (OLS) approach. The data utilized is Panel data from the Central Statistics Agency (BPS) source for the year 2021. The research focuses on 5 provinces: South Sumatra, West Sumatra, Jambi, Lampung, and Bengkulu. Data testing is conducted using the Common Effect Model, Fixed Effect Model, and Random Effect Model. The results indicate that through the T-test, X1 (Education: Elementary, Junior High, and High School) does not have a significant influence on economic growth, whereas X2 (Labor Force) significantly affects economic growth. The F-test results show that independent variables X1 and X2 have an impact on economic growth.]]>
<![CDATA[KEPUTUSAN INDIVIDU MELAKUKAN MOBILITAS NON-PERMANEN KE KOTA BANDAR LAMPUNG DI PROVINSI LAMPUNG ]]>
<![CDATA[Budiarty, Ida]]>;
<![CDATA[Emalia, Zulfa]]>;
<![CDATA[Hapsari, Cindy Nurul]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
|
DOI: 10.23960/jep.v12i1.647
<![CDATA[This study explores individual decisions in carrying out natural non-permanent mobility activities to the city of Bandar Lampung. Non-permanent migration increased by 300 percent during 2016-2018. The data used in this research is the 2018 Sakernas micro data for August. Data analysis using the Binary Logistic Regression. The findings show that the variation in the independent variable is able to explain the variation in the dependent variable by 52 percent.. All independent variables (age, wages, education, and distance) are statistically significant in influencing individual decisions to undertake non-permanent migration, except for the variable marital status. The highest odds ratio value for the distance variable, then the education variable. This means that the closer the distance to Bandar Lampung and the better the individual's education, the higher the probability of non-permanent migration to the city of Bandar Lampung. Variable selection is limited due to adjusting the supply of Sakernas micro data files. In the future, it is very important for the government to understand this temporary mobility movement in order to control the short-term and long-term implications of achieving a more equitable distribution of wealth in Lampung Province. Equitable development between urban and rural areas needs to be realized immediately in reducing income inequality and development.]]>
<![CDATA[ANALISIS DAYA SAING EKONOMI KABUPATEN/KOTA DI PROVINSI LAMPUNG ]]>
<![CDATA[Yulianita, Anna]]>;
<![CDATA[Muflicha, Haqqie]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23960/jep.v12i2.1150
<![CDATA[This study tries to use the calculation of economic competitiveness analysis which is seen from four indicators, namely the four indicators used to provide a score, namely consumption expenditure per capita, GRDP per capita, GRDP, and the level of employment opportunities in the regency/city of Lampung province using the Standard Deviation value approach. , then followed by analysis of panel regression data to see the effect of economic growth and the Human Growth Index on the value of the Economic Competitiveness Index in 16 regencies/cities of Lampung Province in 2015-2019. The results of the study show that from index calculations I compare the economy in the district/city of Lampung province for 5 years 16 districts/cities are always inconsistent except for the city of Lampung which has a rating of 1 with an average value of 20.77 in 2016-2019 and inversely proportional to the city metro. This research will further provide an economic analysis of how economic growth and the human development index affect the influence of economic competition, where the results of the analysis using the panel data regression method show that the model chosen by Fixed Effect Model (FEM) has an influence between HDI and the Economic Competitiveness Index with a probability of 0.002 in the negative direction while Economic Growth has no effect on the prob value of 0.377.]]>
<![CDATA[Analysis of Human Development Index, Government Expenditure, Exports and Imports on Economic Growth in ASEAN-5 ]]>
<![CDATA[Rohima, Siti]]>;
<![CDATA[Junaidi, Junaidi]]>;
<![CDATA[Nasyaya, Annada]]>;
<![CDATA[Hamira, Hamira]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
Show Abstract
|
Download Original
|
Original Source
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Check in Google Scholar
|
DOI: 10.23960/jep.v12i2.1171
<![CDATA[This study aims to analyze the Human Development Index, Government Expenditure, Exports and Imports on Economic Growth in Singapore, Philippines, Malaysia, Thailand, and Indonesia. Using secondary data the period 2010-2021. The method used is the Quantitative method using Panel Data Regression. Results of panel data regression, export variable product has a positive and significant effect on economic growth. These results reveal that to increase economic growth, it is necessary to increase export performance. Increasing export performance can be done in various ways, one of which is by improving the export administration system, increasing research and product development, improving infrastructure facilities and infrastructure, exchange rate stability and expanding non-traditional markets]]>
<![CDATA[KLASIFIKASI INFLASI 34 IBUKOTA PROVINSI DI INDONESIA SEBELUM DAN SAAT COVID-19 MELALUI PENGELOMPOKAN WILAYAH DENGAN K-MEANS CLUSTERING ]]>
<![CDATA[Etrisia, Novi]]>;
<![CDATA[Alexandi, Muhammad Findi]]>;
<![CDATA[Asmara, Alla]]>
<![CDATA[ Jurnal Ekonomi Pembangunan Vol 12 No 2 (2023): Volume 12 Nomor 2 Tahun 2023 ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Lampung ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23960/jep.v12i2.1597
<![CDATA[The magnitude of the national inflation rate is the formation of aggregate figures from regional inflation. Formulating policies that target inflation is increasingly complex in the era of regional autonomy because each region has different factors and conditions that make it difficult to control. For this reason, special attention is needed in dealing with regional inflation. This study aims to classify regional inflation that occurred in Indonesia before and during the Covid-19 pandemic through a clustering approach using the K-Means Clustering method. The secondary data used in this study comes from the Central Bureau of Statistics (BPS) publications of the Republic of Indonesia. The results showed that after clustering, there were 19 provinces (55.88%) that experienced a decrease in the cluster level, 6 provinces (17.64%) experienced an increase in the cluster level and 9 provinces (26.4%) were stable at the cluster level. Overall, the Covid-19 outbreak that has hit the world economy has harmed provinces in Indonesia. This can be observed from the largest percentage of clusters, namely provinces that experienced a decrease in the inflation category, which was 55.88% and the highest number of provinces which were originally in 2017 were in cluster 3 (high inflation category) in 2021 which shifted to cluster 1 (inflation category). low). Based on the Paired Sample T-Test, there was a significant difference in clustering before Covid-19 (2017) and during Covid-19 (2021).]]>
