JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan adalah jurnal ilmiah yang diterbitkan oleh Jurusan Ilmu Ekonomi dan Studi Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Lambung Mangkurat, yang terbit dua kali setahun pada bulan Mei dan November. Jurnal ini bertujuan untuk menjadi wadah publikasi karya ilmiah hasil penelitian, kajian analitis, dan pemikiran kritis di bidang ilmu ekonomi dan studi pembangunan. Fokus jurnal mencakup berbagai topik seperti ekonomi pertanian, ekonomi terapan, bisnis dan keuangan, pembangunan ekonomi, sejarah ekonomi, ekonomi lingkungan, ekonomi fiskal, ekonomi kesehatan, industri dan perdagangan, inflasi, ekonomi internasional, ekonomi Islam, ekonomi tenaga kerja, makro dan mikroekonomi, kebijakan moneter dan fiskal, ekonomi politik, kebijakan publik, pembangunan wilayah dan pedesaan, ekonomi perkotaan dan regional, pengangguran, serta ekonomi kesejahteraan. JIEP: Jurnal Ilmu Ekonomi dan Pembangunan is a scientific journal published by the Department of Economics and Development Studies, Faculty of Economics and Business, Universitas Lambung Mangkurat, issued biannually in May and November. This journal aims to serve as a platform for publishing scientific works, research findings, analytical studies, and critical perspectives in the field of economics and development studies. The journal focuses on a wide range of topics including agricultural economics, applied economics, business and finance, economic development, economic history, environmental and ecological economics, fiscal economics, health economics, industry and trade, inflation, international economics, Islamic economics, labor economics, macroeconomics and microeconomics, monetary and fiscal policies, political economics, public policy, regional and rural development, urban and regional economies, unemployment, and welfare economics.
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<![CDATA[Pengaruh Pertumbuhan Penduduk, Pengangguran dan Pendidikan Terhadap Tingkat Kemiskinan Di Provinsi Kalimantan Selatan Tahun 2011-2020 ]]>
<![CDATA[Paridah, Siti]]>;
<![CDATA[Pahlevi, Khairi]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aims to determine the effect of population growth, unemployment, and education on poverty levels in South Kalimantan Province in 2011-2020. This type of quantitative research uses time series data for ten years using multiple linear regression analysis methods. The results showed that population growth, unemployment, and education significantly affected poverty simultaneously. Unemployment and education variables have a considerable effect partially; population growth variables do not affect the poverty level; the unemployment variable is the most dominant factor affecting the poverty level.]]>
<![CDATA[Analisis Faktor – Faktor Yang Mempengaruhi Pendapatan Usahatani Sawi (Brassica Juncea L) di Kelurahan Landasan Ulin Utara Kecamatan Lianganggang Kota Banjarbaru ]]>
<![CDATA[Beronaputri, Vasella]]>;
<![CDATA[Chandriyanti, Ika]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[The research was conducted to understand the elements contained in mustard farming income, which consists of several components, namely land area, production amount, and green mustard price partially and simultaneously that, using multiple linear regression analysis and using classical assumption tests and hypothesis tests. The research location is in North Landasan Ulin Village, with 80 farmers as respondents, and the sample selection uses the Simple Random Sampling technique. The research results for the variable land area have a positive and insignificant effect on the income of green mustard farming in North Landasan Ulin Village. Meanwhile, the amount of production and the price of mustard greens are positive and significant to the payment of green mustard plant farming in the North Landasan Ulin platform. The result of the coefficient of determination (R2) is 0.9765, where the change in income up and down (Y) is explained by the area of land (X1), the amount of production (X2), and the price of mustard greens (X3) as much as 97.65%. In comparison, the remaining 2.35% is explained apart from variables that don’t exist in the study.]]>
<![CDATA[Pola Sebaran Kafe di Kota Banjarmasin: Tinjauan Analisis Teori Lokasi ]]>
<![CDATA[Sophian, Shesa Maulytha]]>;
<![CDATA[Muttaqin, Hidayatullah]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This research aims to determine the spread pattern of coffee shops in Banjarmasin City and whether it has been appropriated with location theories. Data obtained from field surveys and 72 points of coffee shop locations are found. The data are processed and analyzed using the Geographic Information System (GIS) tool, Google Earth Pro for Windows. The output of the GIS data tool is examined utilizing a description approach to find out how coffee shops' spread pattern is viewed from its accessibility level, the degree of competition, and the coffee shops' closeness to the population. The results show that the spread of coffee shops in Banjarmasin City tends to be distributed at locations that have more accessibility than urban villages with a denser population. In general, the coffee shops' areas are favored to be near them, describing high competition and formed agglomerations.]]>
<![CDATA[Dampak Information and Communication Technology (ICT) Terhadap Produktivitas dan Pertumbuhan Ekonomi di Indonesia ]]>
<![CDATA[Yulianti]]>;
<![CDATA[Anward, Ryan Juminta]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aimed to explain the impact of Information and Communication Technology (ICT) on productivity and economic growth in Indonesia. The data used in this study are sourced from the World Bank and Federal Reserve financial data. The analysis in this study uses the Vector Autoregression/ Vector Error Correction Model (VAR/ VECM) technique to identify the impact and influence of ICT on productivity and economic growth in Indonesia in the short and long term. The results of this study indicate a long-term relationship between productivity based on total factor productivity (TFP) data and economic growth with other variables used in this research. In the research results, Fixed Broadband Subscription (FBS) and Internet Users (INT) have a significant and positive impact on economic productivity in the long term. Still, they are not substantial in the short time. Then, Fixed Broadband Subscription (FBS) and ICT Goods Export (ICTEXP) have a significant and positive impact on economic growth in the long term but are also insignificant in the short time.]]>
<![CDATA[Pengaruh Angka Harapan Hidup, Rata-rata Lama Sekolah dan Paritas Daya Beli Terhadap PDRB di Kalimantan Selatan ]]>
<![CDATA[Auliana, Liqa]]>;
<![CDATA[Sa'roni, Chairul]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study shows the effect of life expectancy, average length of schooling, and purchasing power parity on GRDP in South Kalimantan. This study uses secondary data obtained from the Central Statistics Agency in 2011-2020, with time series analysis data; the results of the study state: life expectancy has a negative and insignificant effect on GRDP in South Kalimantan; the average length of schooling has a positive and significant impact on GRDP in South Kalimantan; Purchasing power parity has a positive and significant effect on GRDP in South Kalimantan; The value of the determinant coefficient (R2) is 0.974301 with the intention that GRDP is influenced by three variables, namely life expectancy, average length of schooling and purchasing power parity 97% and the rest is influenced by other factors 3%.]]>
<![CDATA[Pengaruh Produk Domestik Regional Bruto (PDRB), Belanja Modal dan Jumlah Penduduk Terhadap Penerimaan Pajak Daerah di Kabupaten Banjar ]]>
<![CDATA[Nicola, Rahmad Nanda]]>;
<![CDATA[Saleh, Muhammad]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aims to determine the effect of GRDP, capital expenditure, and population on local tax revenues in Banjar Regency and to determine what factors are the most dominant influencing local tax revenues in Banjar Regency. This type of research is quantitative research using secondary time series data. The research location is in the qBanjar Regency, and the data that has been obtained is then carried out with multiple linear regression analysis using SPSS 26. The results of this study indicate that partially, GRDP, capital expenditure, and population have a significant effect on local tax revenues in Banjar Regency, GRDP, spending Capital, and people have a substantial impact on local tax revenues in Banjar Regency and the most dominant variable affecting local tax revenues is population.]]>
<![CDATA[Pengaruh Jumlah Penduduk, Pengangguran, Pengeluaran Perkapita, Indeks Pembangunan Manusia dan Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan (Studi Kasus 3 Kabupaten di Provinsi Kalimantan Selatan) ]]>
<![CDATA[Nanda, Rekha]]>;
<![CDATA[Fahrati, Eny]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aimed to determine the effect of population, unemployment, per capita expenditure, human development index, and economic growth on poverty levels in Banjar, Tapin, and Hulu Sungai Tengah districts. As secondary data, panel data from the Central Statistics Agency (BPS) of South Kalimantan Province is used in this quantitative descriptive analysis. The data analysis technique was used in the panel data regression method. In Banjar, Tapin, and Hulu Sungai Tengah districts, the poverty rate is influenced by population, open unemployment, underemployment, per capita expenditure, human development index, and economic growth. Population negatively and significantly affects poverty rates in Banjar, Tapin, and Hulu Sungai Tengah regencies. In contrast, open unemployment has a negative and insignificant impact, underemployment has a positive and significant impact, and expenditure per capita has a positive and significant impact. The human development index has a positive and considerable influence, and economic growth has a positive and insignificant effect.]]>
<![CDATA[Dampak Pandemi Covid-19 Terhadap Pendapatan Pelaku UMKM Kecamatan Banjarmasin Utara Tahun 2022 (Studi Kasus Warung Makan Kawasan Cendana, Kayutangi ) ]]>
<![CDATA[Julianita, Putri]]>;
<![CDATA[Fahrati, Eny]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[The Impact of the Covid-19 Pandemic on the Income of Small and Medium Enterprises in North Banjarmasin District. This study aims to determine the effect of the COVID-19 pandemic on the number of visitor arrivals/buyers, the decline in income, and how the MSMEs of Warung Makan Cendana, North Banjarmasin District, deal with the impact—qualitative research methods with research instruments in the form of interviews and short questionnaires. The research population consisted of 35 MSME owners, and as many as 10 MSMEs were selected as samples using the Simple Random Sampling method. Data analysis used descriptive analysis and the Wilcoxon Signed Rank Test. The results showed that: 1) The COVID-19 pandemic significantly affected the number of visitors of MSME owners at the Cendana Restaurant. 2) The COVID-19 pandemic has significantly impacted the income of MSME owners at the Cendana Restaurant. 3) MSME owners overcome the impact of low income by reducing cooking ingredients, implementing a shift system so they can continue to operate, reducing the number of employees, and decreasing employee salaries.]]>
<![CDATA[Analisis Keuntungan Pedagang Ikan Segar Pasar Kalindo Kota Banjarmasin ]]>
<![CDATA[Nurmadina, Alya]]>;
<![CDATA[Fahrati, Eny]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aims to analyze the factors affecting fish traders' profits in the Kalindo Banjarmasin market. The research location is in the Kalindo Market Banjarmasin, with a population and sample of 31 traders. They are using quantitative descriptive analysis techniques. The data in this study were sourced from primary data from interviews and questionnaires. Variables consist of profit, working capital, working hours, labor, and types of merchandise. This study uses multiple linear regression analysis (OLS) with a significance level 0.05. The results of the study indicate that the factors of working capital, working hours, labor, and the type of merchandise together significantly affect the profits of Kalindo fish traders. Factors of operating money, working hours, and labor partially affect traders' profits. The influence of working capital factors, working hours, labor, and types of merchandise on fish traders' profit is 70%, and other factors explain 30%.]]>
<![CDATA[Analisis Kontribusi Sektor Perekonomian Tehadap PDRB di Kota Banjarmasin dan Komparasi Dengan Kota Banjarbaru Tahun 2016-2020 ]]>
<![CDATA[Salbiah, Siti]]>;
<![CDATA[Chandriyanti, Ika]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023) ]]>
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<![CDATA[This study was conducted to determine the economic sector's contribution to Banjarmasin's GRDP from 2016 to 2020 and to compare it to the town of Banjarbaru. The types of research used in this research are descriptive and comparative. The data analysis technique used in this study is a descriptive method with a contribution approach. The analysis results show that the manufacturing sector makes the highest contribution to forming the GRDP of Banjarmasin City. The average contribution of the processing industry from 2016 to 2020 is 17,89%. Based on the results of the sector analysis, the first and most significant contribution to the formation of the GRDP of Banjarbaru from 2016 to 2020 is the transportation and warehousing sector, with an average of 19,46%.]]>
