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[Pendapat dan Daya Beli Petani Karet terhadap Kebutuhan Pokok Saat Pandemi COVID-19 di Desa Gunung Riut Kabupaten Balangan ]]>
<![CDATA[Ghazali, Ahmad]]>;
<![CDATA[Wardhana, Ali]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aims to determine rubber farmers' income and purchasing power for basic needs during the COVID-19 pandemic in Gunung Riut Village, Balangan Regency. This research is a type of descriptive research with a quantitative approach, which was carried out in January-March 2022. The research method used is analyzing rubber farmers' purchasing power against basic needs with the formula andthen analyzing income with the formulawith the number of respondents, as many as 65 rubber farmers in Gunung Riut Village, Balangan Regency. The results of this study prove that the total income of rubber farmers during the COVID-19 pandemic is Rp. 116.570.000 with an average income of Rp. 1.793.384. The purchasing power of rubber farmers for basic needs during the COVID-19 pandemic has not decreased too much because the income of each rubber depends on the price of rubber offered by collectors, unless the rubber factory is difficult to move due to the COVID-19 pandemic, that is what will make the income of rubber farmers decrease]]>
<![CDATA[Dampak Digitalisasi Ekonomi terhadap Pendapatan dan Laba UMKM Sasirangan di Kota Banjarmasin pada Masa Pandemi COVID-19 ]]>
<![CDATA[Permatasari, Della Lorenza Putri]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study has the following objectives: (1) to find out how the impact of the use of social media, marketplace, digital wallet, and Quick Response Code Indonesian Standard (QRIS) on the income and profits of Sasirangan SMEs in the city of Banjarmasin during the COVID-19 pandemic and (2) to find out how education, experience, and capital affect the income and profits of Sasirangan SMEs in the city of Banjarmasin during the COVID-19 pandemic. In this research, the writer uses the quantitative method through a descriptive approach. The type of primary data is obtained by distributing questionnaires and interviews. The analysis technique uses descriptive analysis and multiple linear regression using the Ordinary Least Square (OLS) method. The results of this study explain that economic digitization has a positive impact on increasing the income and profits of Sasirangan SMEs in the city of Banjarmasin. On the other hand, capital also affects the income and earnings of Sasirangan SMEs in Banjarmasin. All variables are statistically significant except for education and experience variables.]]>
<![CDATA[Analisis Elastisitas dan Tax Effort Pajak Hotel terhadap Produk Domestik Regional Bruto (PDRB) di Kabupaten Murung Raya ]]>
<![CDATA[Erlina, Erwin]]>;
<![CDATA[Saipudin]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[This research aims to see whether tax efforts to collect hotel taxes are strong or weak and the elasticity of hotel tax revenue in GRDP in Murung Raya Regency. This research uses quantitative descriptive methods and secondary data for 2011-2019 available from the Regional Revenue Agency or sources related to the research conducted. So that the results are seen from the side of the hotel tax revenue ratio, which includes a strong group in paying taxes on average 1.09, so the tax can be utilized optimally. For the level of elasticity to get results in the form of inelastic seen from the value obtained at <1, it means that the government in Murung Raya Regency is less able to optimize the existing tax potential.]]>
<![CDATA[Analisis Ekonomi Hijau Produk Domestik Regional Bruto (PDRB) Sub Sektor Pertanian Tanaman Pangan di Provinsi Kalimantan Selatan ]]>
<![CDATA[Wardah, Siti]]>;
<![CDATA[Nur, Muhammad Anshar]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[The main objectives of this study are the value of depletion, degradation, depreciation, and green GRDP of the food crop sub-sector in South Kalimantan Province. Data processing is done mathematically with green GRDP as the approach. Judging from the type of data, this research is a quantitative and descriptive study when viewed from the level of explanation. This study uses secondary data from the Central Statistics Agency (BPS) publications, the Department of Food Crops and Horticulture, South Kalimantan Province, and Bank Indonesia. The results showed that the value of Green GRDP in the Food Crops Sub-Sector in 2018 was Rp. 3.4 trillion, in 2019, it was Rp. 3.5 trillion, and in 2020, it was Rp. 3.7 trillion. The calculation results show that the value of the Green GRDP of the Food Crops Sub-Sector is smaller than the conventional GRDP because the depletion value of food plant resources and the value of soil degradation are quite high.]]>
<![CDATA[Peranan Belanja Pendidikan, Kesehatan dan Jumlah Penduduk Miskin terhadap IPM di Kabupaten Tanah Laut ]]>
<![CDATA[Sopiah, Siti]]>;
<![CDATA[Siregar, Syahrituah]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[This research determines Education Expenditure, Health, and Total Poverty Population on HDI in Tanah Laut Regency 2009-2018. This research was conducted in Tanah Laut Regency by taking secondary data and then tested by taking a regression analysis model and knowing it consists of a partial test (t test) and simultaneous test (F test). The results of this study indicate that simultaneously Education Expenditure, Health Expenditure, and Total Poverty have a significant effect on the HDI.]]>
<![CDATA[Strategi Pengembangan Usaha Kain Sasirangan dengan Pemanfaatan Platform Digital saat Pandemi Covid-19 di Kota Banjarmasin ]]>
<![CDATA[Permana, Muhammad Shodiq]]>;
<![CDATA[Maulina, Dessy]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[This Study aims to analyze the Sasirangan MSMEs Business development strategy in Banjarmasin City by utilizing digital platforms during the Covid-19 pandemic. The research method used is descriptive qualitative in the form of responses from sources and participants through interviews and questionnaires. The data analysis method used is the SWOT analysis technique. The result of this Study indicates that the condition of the survival of the Sasirangan MSMEs during the Covid-19 pandemic caused a drastic decrease in sales levels. However, market growth slowly began to increase from early 2020 to 2021. Next, the use of digital platforms by Sasirangan SMEs in Banjarmasin City is still not optimal, so a re-analysis is needed to apply digital-based sales. Based on calculations through the IFAS and IFAS matrices, it shows that the Sasirangan MSMEs are in quadrant I, so an SO strategy can be applied that can take advantage of the strength of the business to get the available opportunities by adding product variations with adjustment to consumer tastes and expanding the marketing network by digital-based media.]]>
<![CDATA[Analisis Faktor-Faktor yang Mempengaruhi Permintaan Air pada Perusahaan Daerah Air Minum (PDAM) di Kota Banjarmasin ]]>
<![CDATA[Rizki, Fahira Amaliana]]>;
<![CDATA[Sopiana, Yunita]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This study aims to examine variables such as Water user (X1), Water Price (X2), and GRDP Per capita (X3) that affect water demand (Y) at regional drinking water companies (PDAM) in Banjarmasin City. The population in this study is the annual report data conducted at PDAM Bandarmasih. The research method used is descriptive quantitative in the form of data from PDAM Bandarmasih and the Central Statistics Agency. The hypothesis testing used is the classical assumption test and multiple linear regression analysis. The results of this study indicate that the independent variable Waters user (X1), water price (X2), and Income per capita (X3) significantly affect the dependent variable water demand (Y). The varying water price, the dominant factor for the water demand, has a negative effect; if the water quantity increases by 1%, the water demand decreases. The variables X1 and X3 have a positive effect on the water demand (Y) of PDAM Banjarmasin City]]>
<![CDATA[Analisis Potensi dan Efektivitas Pajak Parkir serta Kontribusinya terhadap Penerimaan Pajak Daerah Kota Banjarmasin ]]>
<![CDATA[Oktariani, Muhammad Prawira]]>;
<![CDATA[Muzdalifah]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[The purpose of this study is to (1) know the amount of potential parking tax in Banjarmasin City, (2) know the effectiveness of the parking tax in Banjarmasin City, and (3) know the level of parking tax contribution to local tax revenue in Banjarmasin City. This study uses a quantitative descriptive method. The data types used in this study are primary and secondary, with data collection techniques through interviews, observation, documentation, and literature. The study results show that the potential of the Banjarmasin parking tax is greater than the revenue or realization in the previous year. The level of effectiveness of the Banjarmasin City parking tax in 2015-2019 averages 98.19% or is in the effective category. Meanwhile, the parking tax contribution to Banjarmasin City's local tax revenue in 2015-2019 has an average of 2.73% or is in the very poor category.]]>
<![CDATA[Analisis Data Panel Dalam Memprediksi Faktor Determinan Kemiskinan di Provinsi Kalimantan Selatan ]]>
<![CDATA[Fadila, Fatekhatul Hasni Nur]]>;
<![CDATA[Ulhaq, Najla Hikmalia Dhiyaa]]>;
<![CDATA[Khoir, Riziq Apani]]>;
<![CDATA[Al Fatih , Sulthon Muhammad]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
Publisher : <![CDATA[PPJP ULM ]]>
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<![CDATA[This research aims to understand the level of poverty and the elements that influence the level of poverty in the Province of South Kalimantan. The data used is secondary data sourced from the Satu Data Banua website for South Kalimantan Province, a combination of cross-sectional data from 13 regencies/cities in South Kalimantan Province with time series data from 2017 to 2021. This research uses three independent variables and one dependent variable consisting of the Open Unemployment Rate (X1), Gini Ratio (X2), and Life Expectancy Rate (X3) as well as the Percentage of Poor Population as (Y). The panel data analysis method is carried out by conducting model selection tests on the Common Effect, Fixed, and Random Effects Models to determine the best model in panel data estimation. The results showed that the random effect model found that the open unemployment rate and life expectancy had a significant effect. In contrast, the Gini ratio did not affect the percentage of poor people in South Kalimantan Province. Based on the hypothesis test, simultaneously (simultaneously), the three independent variables significantly affect the percentage of poverty in South Kalimantan Province.]]>
<![CDATA[Pengaruh Ekonomi Digital, Investasi dan Dana Zakat Infak Sedekah Terhadap Pertumbuhan Ekonomi di Indonesia ]]>
<![CDATA[Dewi, Risna]]>;
<![CDATA[Imsar]]>;
<![CDATA[Tambunan, Khairina]]>
<![CDATA[ JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023) ]]>
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<![CDATA[This study aims to see whether there is an influence of the digital economy, Investment, and ZIS funds on economic growth in Indonesia. The dependent variable that is applied is Economic Growth, for the independent variables that are applied are the digital economy, Investment, and ZIS funds. In this study, a multiple linear regression model was used to analyze and use time-series data which was interpolated into monthly data from 2017 to 2021. The data used in this study was secondary data which was completed using the Eviews 10 application. The hypothesis testing results show that partially the digital economy has a significant influence on economic growth in Indonesia, partially, Investment has a significant influence on economic growth in Indonesia, and partially ZIS funds also have a significant influence on economic growth in Indonesia. The digital economy, Investment, and ZIS funds together have an influence on economic growth in Indonesia. This means that the ZIS Digital Economy, Investment, and Fund variables are able to provide an explanation of economic growth in Indonesia.]]>
