Claim Missing Document
Check
Articles

Found 38 Documents
Search

Analisis Kontribusi Dan Efektivitas Pajak Restoran Terhadap Pendapatan Asli Daerah Kota Banjarmasin Resti Sylvianur; Eny Fahraty
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 3 No. 1 (2020)
Publisher : PPJP ULM

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

Abstract

The purpose of this study is to (1) know the level of restaurant tax growth rateof the City of Banjarmasin (2) find out how much the contribution of restaurant tax tothe original income of Banjarmasin City (3) to find out how far the restaurant taxeffectiveness Banjarmasin City.The data taken by this study uses secondary data and primary data withannual time series data from 2013 to 2018. The data source is obtained from theBanjarmasin City Financial Board. This research uses quantitative descriptivemethods.The results of this study is that the rate of tax growth in restaurants inBanjarmasin City has an average of 14.17% which is categorized as less successful.For the calculation of restaurant tax contributions, the city of Banjarmasin has anaverage of 14.04% which means it is still not contributing. In contrast, from therestaurant tax effectiveness, the town of Banjarmasin has an average of 109.13%which can be categorized very effectively.
Faktor-faktor yang Mempengaruhi Tingkat Pendapatan Usaha Laundry di Kecamatan Banjarmasin Barat Kota Banjarmasin Maulidia, Arida; Fahrati, Eny
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023)
Publisher : PPJP ULM

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

Abstract

This study (1) aims to determine the effect of capital, price, and quantity of laundry on laundry business income in West Banjarmasin District, Banjarmasin City. (2) To determine the most dominant factor influencing laundry business income in West Banjarmasin District, Banjarmasin City. This study used 20 respondents who were laundry business owners in the West Banjarmsain District, Banjarmasin City. The data in this study were then processed using multiple linear regression analysis using Eviews 10 software. The results of this study indicate that together, the factors of capital, price, and quantity of laundry affect the income of the laundry business in the West Banjarmasin District, Banjarmasin City. The most dominant factor in influencing the income of the laundry business in West Banjarmasin District, Banjarmasin City, is the washing quantity factor.
Pengaruh Pertumbuhan Ekonomi, Jumlah Penduduk, dan Inflasi terhadap Kemiskinan di Kota Banjarmasin Tahun 2007-2018 Ellisa Dewi Norsita Fahjarini; Eny Fahraty
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 3 No. 2 (2020)
Publisher : PPJP ULM

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

Abstract

This study was conducted to determine: (1) The Effect of economic growth onpoverty in Banjarmasin City, (2) The number of population in poverty in BanjarmasinCity, (3) the Effect of inflation on poverty in Banjarmasin City.This type of research is quantitative research with the method used that is usingmultiple linear regression methods. The variables used are poverty, economic growth,population, and inflation. While the data used to analyze this research uses time-seriesdata by using secondary data that are data sources that do not directly provide data todata collectors, such as data from the Central Statistics Agency (CSA) BanjarmasinCity.The results showed the variables of economic growth, population, and inflationtogether affected poverty, and economic growth factors dominantly influenced povertyin the city of Banjarmasin in 2007-2018.
Pengaruh Indeks Pembangunan Manusia, Pendapatan Perkapita Dan Pertumbuhan Ekonomi Terhadap Kemiskinan Di Kabupaten Hulu Sungai Selatan Tahun 2005-2019 Sinta; Fahrati, Eny
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 5 No. 1 (2022)
Publisher : PPJP ULM

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

Abstract

This study aims to determine the effect of the human development index, per capita income, and economic growth on poverty in the Hulu Sungai Selatan regency from 2005-to 2019. This research is included in quantitative research, and the method used is multiple linear regression using time series secondary data processed with the help of the SPSS-26.0 program. The results of this study (1) The variables of Human Development Index, Per capita Income, and Economic Growth have a simultaneous effect on poverty in Hulu Sungai Selatan Regency. (1) The most dominant factor is the Per capita Income variable. To accelerate the decline in the poverty rate, it is necessary to increase economic activity in all sectors, especially potential sectors such as agriculture, mining, trade, and government, and improve the quality of knowledge and skills so that the amount of Gross Regional Domestic Product generated can support people's income.
Analisis Faktor-Faktor yang Mempengaruhi Hasil Produksi Padi Desa Sungai Batang Kecamatan Martapura Barat Kabupaten Banjar Ainy, Intan Novera Qurotul; Eny Fahraty
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 2 No. 2 (2019)
Publisher : PPJP ULM

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

Abstract

This study aims to determine: (1) Effect of land area, seeds, fertilizers, pesticides and labor on rice production, (2) The most dominant factor influences rice production, (3) the state of return to scale rice production in Sungai Batang Village. The population of this study was rice farmers in Sungai Batang Village. The samples taken in this study were 84 rice farmers. Data collection techniques are by conducting literature studies, observations, distribution of questionnaires and interviews. The data analysis technique is by classical assumption test and using multiple linear regression analysis methods. The results showed that the land area, seeds, fertilizers, pesticides and labor together (simultan) had a positive and significant effect on rice production.This is evidenced by f- statistics> f-table (56,7> 2.21). Land area, seeds, fertilizers and labor have a positive and significant effect, while pesticides do not have a significant effect. Return to scale on rice production shows constant return to scale because the number of coefficients of each variable isequal to 1%.
Knowledge Mapping in Agricultural Economics Fahrati, Eny; Sopiana, Yunita
West Science Nature and Technology Vol. 2 No. 02 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i02.1016

Abstract

This study utilizes VOSviewer to conduct a bibliometric analysis of the agricultural economics literature, identifying thematic clusters, research trends, research opportunities, and collaboration networks among authors. Thematic cluster analysis reveals distinct research domains such as macroeconomic impacts, technology in agriculture, productivity, and efficiency. Research trend analysis over time shows a shift from foundational studies towards more integrated approaches focusing on the impact of technological advancements and policy changes on agricultural productivity and efficiency, especially from the mid-1990s to the 2010s. Further, the exploration of less illuminated areas within the network maps highlights underexplored topics such as agricultural markets, labor, and exports, presenting new opportunities for future research. Author collaboration networks reveal both dense clusters of frequent collaborators and key individuals linking various research areas, reflecting the collaborative nature of the field. These findings underscore the evolving dynamics of agricultural economics research and provide a roadmap for addressing both micro and macro-level challenges within the sector.
The Role of Biotechnology in Plant Breeding for Sustainable Agriculture in Brazil Chandriyanti, Ika; Sopiana, Yunita; Fahrati, Eny
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1593

Abstract

Research Background: Sustainable agriculture is increasingly becoming a global priority, including in Brazil, which is one of the major producers of agricultural commodities. Biotechnology in plant breeding has provided an important solution to increase plant productivity and resistance to pests, diseases, and extreme environmental conditions. Research Objectives: This study aims to explore the role of biotechnology in crop breeding in Brazil and its impact on sustainable agriculture. Research Method: This study uses a qualitative descriptive approach with case study analysis on major crops such as soybeans, corn, cotton, and sugarcane. Data were collected through interviews with farmers and biotechnology experts as well as literature analysis. Research Results: The results show that the application of biotechnology increases plant productivity by up to 30%, as well as strengthens plant resistance to pests and climate change. However, the adoption of this technology is still limited to large commodities, with uneven access among smallholders. Research Conclusion: Biotechnology plays an important role in supporting sustainable agriculture in Brazil, but efforts are needed to expand access to these technologies so that more farmers, including small-scale ones, can take advantage of them. Supportive policies and adequate infrastructure are needed to accelerate the adoption of biotechnology across Brazil's agriculture
Pengaruh Indeks Pembangunan Gender dan Indeks Pemberdayaan Gender Terhadap Pertumbuhan Ekonomi di Provinsi Kalimantan Selatan Tahun 2018-2022 Norvita, Haniah; Fahrati, Eny
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 8 No. 2 (2025)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v8i2.505

Abstract

The purpose of this study is to investigate the effect of Gender Development Index and Gender Empowerment Index on economic growth measured through Gross Regional Domestic Product with secondary data. The analysis method used is panel data regression by applying fixed effect model. The results showed that: (1) Gender Development Index and Gender Empowerment Index affect the economic growth of South Kalimantan Province in 2018-2022 simultaneously and partially; (2) Gender Development Index is the most dominant influence.