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POLITIK EKONOMI PERTUMBUHAN DALAM PERSPEKTIF TAQIYUDDIN AN-NABHANI Hidayatullah Muttaqin
Imanensi: Jurnal Ekonomi, Manajemen, dan Akuntansi Islam Vol 1 No 2 (2014): Imanensi : Jurnal Ekonomi, Manajemen, dan Akuntansi Islam
Publisher : Forum Dosen Ekonomi dan Bisnis Islam (FORDEBI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34202/imanensi.1.2.2014.111-116

Tujuan artikel ini adalah untuk memaparkan pemikiran Taqiyuddin An-Nabhani menenai politik ekonomi pertumbuhan. Politik ekonomi pertumbuhan adalah kebijakan ekonomi yang berdiri di atas paradigma pertumbuhan. Negara yang melaksanakan politik ekonomi pertumbuhan memandang pertumbuhan ekonomi yang tinggi sebagai tujuan yang dapat memecahkan masalah ekonomi seperti kemiskinan dan pengangguran. Tetapi kenyataannya, politik ekonomi pertumbuhan menyebabkan ketimpangan ekonomi, ketidakpastian, dan krisis. Kajian ini bertujuan untuk menelaah politik ekonomi pertumbuhan dalam perspektif pemikiran ekonomi Taqiyuddin an-Nabhani. Menurut an-Nabhani, politik ekonomi pertumbuhan bukanlah jalan yang tepat untuk memecahkan masalah ekonomi, karena masalah ekonomi sebenarnya adalah bagaimana memecahkan distribusi kekayaan di tengah-tengah masyarakat.

Struktur Ekonomi dan Pengangguran di Indonesia (Studi Kasus Kabupaten dan Kota Tahun 2017) Lydiana Rahmah; Hidayatullah Muttaqin
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol 6, No 1 (2023)
Publisher : PPJP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v6i1.8961

This study aims to determine the independent variables or sectors of agriculture, mining, industry, trade, and economic growth that significantly influence the open and underemployed unemployed rates. This study uses multiple linear regression analysis tools with cross-sectional data using both logs and no logs in determining the influence of agriculture, mining, industry, trade, and economic growth variables using secondary data in 2017.The regression results on TPT without logs show that only the Mining and Growth variables are insignificant. In contrast, the Agriculture, Industry, and Trade variables are significant, others are significant at 1% alpha, and the mining variable is significant at alpha 10%. And the semi-unemployed regression results without logs, only the Mining and Growth variables are insignificant. In contrast, the others are significant at 1% negligence, and the regression results using logs show that only the Mining and Growth variables are insignificant. In comparison, the Trade variable is significant at 10% alpha.Every increase in the distribution of the Agricultural Sector in GRDP by 1% will cause a decrease in TPT by 0.043% and an increase in SM by 0.218%. Every increase in the distribution of the Industrial Sector GRDP by 1% will cause an increase in TPT by 0.039% and a decrease in SM by 0.681%. Every increase in the distribution of the Trading Sector in GRDP by 1% will cause an increase in TPT by 0.078% and a decrease in SM by 0.071%. Economic growth and the mining sector have very little value, so it cannot explain the impact of this sector on TPT and SM.

Pola Sebaran Kafe di Kota Banjarmasin: Tinjauan Analisis Teori Lokasi Sophian, Shesa Maulytha; Muttaqin, Hidayatullah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol 6, No 2 (2023)
Publisher : PPJP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v6i2.11077

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.

Pola Sebaran Kafe di Kota Banjarmasin: Tinjauan Analisis Teori Lokasi Sophian, Shesa Maulytha; Muttaqin, Hidayatullah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.

Struktur Ekonomi dan Pengangguran di Indonesia (Studi Kasus Kabupaten dan Kota Tahun 2017) Rahmah, Lydiana; Muttaqin, Hidayatullah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 1 (2023)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to determine the independent variables or sectors of agriculture, mining, industry, trade, and economic growth that significantly influence the open and underemployed unemployed rates. This study uses multiple linear regression analysis tools with cross-sectional data using both logs and no logs in determining the influence of agriculture, mining, industry, trade, and economic growth variables using secondary data in 2017. The regression results on TPT without logs show that only the Mining and Growth variables are insignificant. In contrast, the Agriculture, Industry, and Trade variables are significant, others are significant at 1% alpha, and the mining variable is significant at alpha 10%. And the semi-unemployed regression results without logs, only the Mining and Growth variables are insignificant. In contrast, the others are significant at 1% negligence, and the regression results using logs show that only the Mining and Growth variables are insignificant. In comparison, the Trade variable is significant at 10% alpha. Every increase in the distribution of the Agricultural Sector in GRDP by 1% will cause a decrease in TPT by 0.043% and an increase in SM by 0.218%. Every increase in the distribution of the Industrial Sector GRDP by 1% will cause an increase in TPT by 0.039% and a decrease in SM by 0.681%. Every increase in the distribution of the Trading Sector in GRDP by 1% will cause an increase in TPT by 0.078% and a decrease in SM by 0.071%. Economic growth and the mining sector have very little value, so it cannot explain the impact of this sector on TPT and SM.

Peta Pola Sebaran Daya Beli Penduduk dan Pasar Retail Kota Banjarmasin Muttaqin, Hidayatullah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 8 No. 1 (2025)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v8i1.2595

This study aims to map the estimated purchasing power of residents across 52 sub-districts in Banjarmasin City and to analyze the visual relationship between purchasing power and the distribution of retail markets. The data used include the 2017 Per Capita Monthly Consumption Expenditure from BPS and the 2018 PODES data, with the proportion of households in slum settlements and health subsidy recipients serving as proxies, which were processed into a Composite Welfare Index. The analysis reveals a significant disparity in purchasing power, ranging from IDR 1,030,976 to IDR 1,818,254 per capita. Sub-districts in the southern part of Banjarmasin generally exhibit the lowest purchasing power, while the northern and central areas are above the city average. Traditional markets are concentrated in the city center, whereas minimarkets are evenly distributed, primarily following areas with high purchasing power. These findings underscore the importance of spatial mapping-based policies to reduce economic disparities and optimize the distribution of retail services in urban areas.

Skenario Target Indeks Pembangunan Manusia Kabupaten Tabalong dan Kabupaten Hulu Sungai Utara Tahun 2024-2028 Nazmi, Haliza; Muttaqin, Hidayatullah
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 8 No. 2 (2025)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study aims to develop Human Development Index (HDI) targets in Tabalong and Hulu Sungai Utara (HSU) districts from 2024 to 2028 under Optimistic, Moderate, and Pessimistic scenarios. Using HDI data and HDI components, and applying linear projection and average increase models. The HDI simulation used the ADIM South Kalimantan application from Bappeda of South Kalimantan Province. The results of the analysis of the HDI target of Tabalong Regency in 2024 for the Optimistic, Moderate and Pessimistic scenarios are: 74.74; 74.61; 74.49 and 2028 rose to: 77,15; 77,02; 76,90. Similarly, for HSU District, the HDI targets in 2024 were 68.74; 68.61; 68.49 and 2028 increased to 71.55; 71.42; 71.30. The simulation of HDI components shows the need for measurable and data-based targets to avoid targets that are too high or low from regional potential.

PENERAPAN MANOVA DALAM ANALISIS HUBUNGAN ANTARA LUAS WILAYAH DENGAN CAKUPAN VAKSINASI COVID-19 DI PROVINSI KALIMANTAN SELATAN Muhammad Fadhil Rasyidin; Dewi Anggraini; Hidayatullah Muttaqin
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11331

In Indonesia, the problem with the spread of COVID-19 is 1.35 million with 1.17 million recovered and 36,721 deaths as of March 5, 2021. From the data on the spread of COVID-19, it can be seen from the length of time that has passed, the number of cases has increased. Sinovac (CoronaVac) is a vaccine for COVID-19 produced by the Sinovac company, using inactivated virus technology or utilizing attenuated viruses. The coverage of vaccines for dose 1 and dose 2 in South Kalimantan Province is low compared to other provinces, even though South Kalimantan Province is a province that is classified as having the smallest area among other provinces included in Kalimantan Island. The purpose of the study was to find out the relationship between area and coverage of COVID-19 vaccination in South Kalimantan Province. This study uses One-Way Manova because it analyzes one predictor variable, in the form of area and three response variables simultaneously, in the form of COVID-19 vaccination coverage based on the vaccination target category: health human resources, public officers and the elderly. The results of the study using the One-Way MANOVA method showed the Pillai's Trace value of 0.020. The results of the multivariate significance test obtained by Wilk's Lambda so that it rejects which means that the significant model or area () has an influence on vaccination coverage (). Based on alleged multivariate regression model and the results of the MANOVA test, both are directly proportional, namely there is a significant relationship that area area has an influence on COVID-19 vaccination coverage. Large areas have vaccination coverage that tends to be low when compared to small areas. Vaccination distribution for a small area can be said to be more efficient than other broad categories and for elderly vaccine recipients, it is lower than the category of vaccine recipients for public officials and health human resources

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