Earmarking Tax Optimization to Support The Effective and Sustainable Infrastructure

The majority of road infrastructure condition is far from excellent. The implementation of 10% minimum compulsory allocation of vehicle tax to be returned for road and transportation sector is potential to increase road maintenance fund.The research purpose is to raise regional revenue sources of Semarang City which is worth to be earmarked and to be alocated for road maintenance. This research is using secondary data of 2008-2015 period and linear regression analysis with Ordinary Least Square (OLS) method. The result of research concludes that : 1) the sources of earmarking consist of : vehicle tax (PKB), fee of vehicle title transfer (BBNKB), and fuel tax (PPBKB). 2) the allocation proportion of each earmarking source for Semarang City road maintenancefor next five years are : 25% (PKB), 15% (BBKNB), and 15% (PBBKB). 3) the allocation proportion of each earmarking source for Semarang City roadconstruction for next five years are: 50% (PKB), 45% (BBNKB), and 45% (PBBKB).

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Pengaruh Belanja Daerah dan Tenaga Kerja terhadap Output Sektor Swasta di Sumatera Selatan

MBIA ◽

10.33557/mbia.v19i2.1018 ◽

2020 ◽

Vol 19 (2) ◽

pp. 237-242

Author(s):

Muhammad Bahrul Ulum

Keyword(s):

Time Series ◽

Regression Analysis ◽

Private Sector ◽

Linear Regression Analysis ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Ordinary Least Square ◽

Independent Variables ◽

Ministry Of Finance

The purpose of this study was to determine the effect of regional spending namely direct and indirect spending, labor on the private sector in South Sumatra. The data used are secondary data in the form of time series 2006-2017 sourced from the DGT Ministry of Finance and the Central Statistics Agency (BPS) which have been processed. This research uses the Multiple Linear Regression analysis methods with Ordinary Least Square (OLS) method. The results of this study indicate that during 2006-2017 the expenditure variable directly had a positive and significant effect on private-sector output in South Sumatra. The indirect expenditure variable has a positive and significant effect on private-sector output in South Sumatra. Labor variables have a positive and significant effect on private-sector output in South Sumatra. Overall independent variables have a significant effect on the output of the private sector in South Sumatra. Abstrak Tujuan penelitian ini untuk mengetahui pengaruh belnja daerah yakni belanja langsung dan belanja tidak langsung, tenaga kerja terhadap sektor swasta di Sumatera Selatan. Data yang digunakan adalah data sekunder dalam bentuk time series tahun 2006-2017 yang bersumber dari DJPK Kementerian Keuangan dan Badan Pusat Statistik (BPS) yang telah diolah. Penelitian ini menggunakan metode analisis Regresi Linier Berganda dengan metode Ordinary Least Square (OLS). Hasil penelitian ini menunjukan hasil bahwa selama tahun 2006-2017 variabel belanja langsung berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Variabel belanja tidak langsung berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Variabel tenaga kerja berpengaruh positif dan signifikan terhadap output sektor swasta di Sumatera Selatan. Secara keseluruhan variabel bebas berpengaruh signifikan terhadap output sektor swasta di Sumatera Selatan. Kata kunci: Belanja Langsung, Belanja Tidak Langsung, Tenaga Kerja, Output Sektor Swasta

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Analisis Pengaruh Infrastruktur Listrik, Jalan Dan Kesehatan Terhadap Produk Domestik Regional Bruto Di Kabupaten Sidoarjo

Eksis: Jurnal Ilmiah Ekonomi dan Bisnis ◽

10.33087/eksis.v12i1.223 ◽

2021 ◽

Vol 12 (1) ◽

pp. 54

Author(s):

Yurike Aldona ◽

Wiwin Priana Primandhana ◽

Muhammad Wahed

Keyword(s):

Linear Regression Analysis ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Domestic Product ◽

Economic Activities ◽

Ordinary Least Square ◽

Health Infrastructure ◽

Analysis Technique ◽

Efficiency And Effectiveness

Gross Regional Domestic Product (GDP) is one of the economic indicators according to various economic instruments in which clearly visible macro-economic conditions of a region. Infrastructure is the most primary public infrastructure in supporting a country's economic activities, and the availability of infrastructure greatly determines the level of efficiency and effectiveness of economic activities. This study aims to analyze how much electricity, road, and health infrastructure affects gross regional domestic product in Sidoarjo Regency. This research covers the area of Sidoarjo Regency. This study uses secondary data obtained from the Central Statistics Agency with a period of 15 years from 2005-2019. The analysis technique used is Multiple Linear Regression Analysis with Ordinary Least Square (OLS) model using computer tools SPSS program (Statistic Program For Social Science) Version 13.0 that shows the influence between free variables and bound variables. The end result is that electricity infrastructure variables have a positive and significant influence on gross regional domestic product in Sidoarjo Regency. Variable road infrastructure and health infrastructure have a positive but insignificant influence on gross regional domestic product in Sidoarjo Regency.

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Faktor-faktor yang Mempengaruhi Volume Ekspor Kopi dari Kabupaten Aceh Tengah ke Amerika Serikat

Jurnal Agriuma ◽

10.31289/agr.v3i1.5112 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1-8

Author(s):

Afriamah Afriamah ◽

Zulkarnain Lubis ◽

Mitra Musika Lubis

Keyword(s):

United States ◽

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

The United States ◽

Least Square ◽

Export Demand ◽

Ordinary Least Square

Indonesia is one of the world's largest coffee producers, it can be seen from the amount of exports from Indonesia for coffee export. In the past few years, several companies have carried out massive expansion to get Gayo coffee from Central Aceh Regency and Bener Meriah. The purpose of this study was to analysis what factors influence the volume of Gayo coffee exports from Central Aceh Regency to the United States. The data collection method using the documentary method is the data obtained and viewed by the document in accordance with the variables in the research model in the period 2013-2017. Data collected is secondary data. The analytical method used is multiple linear regression with the method used is the Ordinary Least Square (OLS) Method. From the research using multiple linear regression analysis obtained that variables which have significant effect to the export demand of Gayo Coffee from the United States is Global Coffee Prices. While the production of domestic Gayo coffee, the exchange rate of dollars against the rupiah and the price of foreign Gayo coffee are not significant to the demand for export of Gayo coffee to the United States.

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PERBANDINGAN TRANSFORMASI BOX-COX DAN REGRESI KUANTIL MEDIAN DALAM MENGATASI HETEROSKEDASTISITAS

E-Jurnal Matematika ◽

10.24843/mtk.2015.v04.i01.p081 ◽

2015 ◽

Vol 4 (1) ◽

pp. 8

Author(s):

NI WAYAN YUNI CAHYANI ◽

I GUSTI AYU MADE SRINADI ◽

MADE SUSILAWATI

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Quantile Regression ◽

Linear Regression Analysis ◽

Least Square ◽

Power Transformation ◽

Ordinary Least Square

Ordinary least square (OLS) is a method that can be used to estimate the parameter in linear regression analysis. There are some assumption which should be satisfied on OLS, one of this assumption is homoscedasticity, that is the variance of error is constant. If variance of the error is unequal that so-called heteroscedasticity. The presence heteroscedasticity can cause estimation with OLS becomes inefficient. Therefore, heteroscedasticity shall be overcome. There are some method that can used to overcome heteroscedasticity, two among those are Box-Cox power transformation and median quantile regression. This research compared Box-Cox power transformation and median quantile regression to overcome heteroscedasticity. Applied Box-Cox power transformation on OLS result ????2point are greater, smaller RMSE point and confidencen interval more narrow, therefore can be concluded that applied of Box-Cox power transformation on OLS better of median quantile regression to overcome heteroscedasticity.

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ANALISIS DETERMINAN PENDAPATAN PEDAGANG PASAR BANJARSARI KOTA PEKALONGAN PASCA KEBAKARAN

ECONBANK: Journal of Economics and Banking ◽

10.35829/econbank.v2i1.77 ◽

2020 ◽

Vol 2 (1) ◽

pp. 1-8

Author(s):

Nur Elitami Insan ◽

Arif Pujiyono

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Working Hours ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Ordinary Least Square ◽

Business Location ◽

Dominant Influence

The income of traders in the Banjarsari Emergency Market Pekalongan is influenced by various factors, one of which is the trader resources (capital, working hours, business length, education, and business location). This study aims to determine the effect of capital, working hours, business length, education, and business location on the income of traders in the Banjarsari Emergency Market in Pekalongan. There as 95 traders of Banjarsari Emergency Market in Pekalongan were taken as samples with purposive sampling and accidental sampling. This study uses multiple linear regression analysis tools with the Ordinary Least Square (OLS) method. The results showed that capital, length of business, and location of business affect the income of traders. While working hours and education have not affected the income of the trader. Capital provides the most dominant influence on income trader

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PENDAPATAN DAN RISIKO PENDAPATAN USAHA TANI PADI DAERAH IRIGASI DAN NON IRIGASI DI KABUPATEN BANJAR KALIMANTAN SELATAN

Jurnal Social Economic of Agriculture ◽

10.26418/j.sea.v1i1.2123 ◽

2013 ◽

Vol 1 (1) ◽

Author(s):

Muzdalifah, Masyhuri Ani Suryantini

Keyword(s):

Regression Analysis ◽

Linear Regression Analysis ◽

Least Square ◽

Rice Farming ◽

Analysis Model ◽

Land Area ◽

Income Risk ◽

Ordinary Least Square ◽

Rice Farmers ◽

Irrigated Area

This study aims to determine the income and revenue risk from rice farming inirrigated and non irrigated land are also factors that influence it. The hypothesisadvanced is that (1) factors that affect revenue and revenue risk rice farming inpaddy fields are irrigated and non irrigated land area, the price of seed, fertilizerprices, wage labor, the price of seeds, irrigation areas and varieties, (2 ) rice farmincome risk in irrigated land is lower than non-irrigated land. Data obtainedthrough interviews with 80 randomly simple rice farmers. The method used ismultiple linear regression analysis model with Ordinary Least Square (OLS) andthe analytical coefficient of variation (CV). The results showed that the area ofland, the price of urea, ponska price, the price of pesticides, and irrigation areadummy effect on income. While the risk is influenced by the land revenue, theprice of seed, the price of urea fertilizer, fertilizer prices ponska, pesticide pricingand superior varieties of variables. Income risk in the area of irrigated ricefarming was smaller than non-irrigated areas with kofisien variation of 0.83 and0.89.Key words: revenue, risk, rice, irrigated and non irrigated area.

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ANALISIS FAKTOR YANG MEMPENGARUHI ALIH FUNGSI LAHAN SAWAH KE NON SAWAH DI KABUPATEN SLEMAN DAERAH ISTIMEWA YOGYAKARTA

SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis ◽

10.20961/sepa.v13i1.14232 ◽

2017 ◽

Vol 13 (1) ◽

pp. 22

Author(s):

Annisa Titias Habibatussolikhah ◽

Darsono Darsono ◽

Susi Wuri Ani

Keyword(s):

Linear Regression ◽

Agricultural Sector ◽

Agricultural Land ◽

Linear Regression Analysis ◽

Secondary Data ◽

Least Square ◽

Land Area ◽

Ordinary Least Square ◽

Trust Level

The development of non-agricultural sector are increasingly in need of land. The land needs met by conversion of agricultural land to non-agricultural land. This research was aimed to examine the rate of the agriculture land (wet land) conversion and factors that determine the conversion in Sleman Regency. The basic method which used was descriptive analytic. Determination of the research location was using purposive method in Sleman regency. Method to analyze the data was double linear regression (Ordinary Least Square). The data which used in this research was secondary data in 1984-2013 from BPS, BPN, Bappeda, and DPUP of sleman regency.The result of this research shows that the conversion of wet land in Sleman regency happened in 1984-2013. Since 30 years, wet land area which convert to nonagricultural area was 4.496 Ha or 150 Ha. Wet land area had decreased with the growth rate 0,608% per year. Based on the double linear regression analysis (Ordinary Least Square) with 95% of trust level, it could be known the significance relation between wet land area and the number of population, industry, residential, road length, PDRB, and government policy. Individually, the area of agricultural land in sleman regency was influenced by the number of population, industry, residential, and PDRB.

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Faktor-Faktor Mempengaruhi Ketimpangan Wilayah di Provinsi Jawa Timur, Indonesia

Media Ekonomi dan Manajemen ◽

10.24856/mem.v33i1.564 ◽

2018 ◽

Vol 33 (1) ◽

Cited By ~ 1

Author(s):

Fitrah Sari Islami ◽

Nugroho SBM

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Government Expenditure ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Ordinary Least Square ◽

Regional Inequalities ◽

Index Value

AbstrakKetimpangan wilayah merupakan salah satu masalah yang umum terjadi di Negara sedang berkembang termasuk di Indonesia. Jawa Timur merupakan provinsi yang nilai ketimpangannya cukup tinggi jika dibandingkan dengan provinsi lain yang berada di Pulau Jawa. Penelitian ini bertujuan untuk 1) mengetahui keadaan ketimpangan di Provinsi Jawa Timur 2) mengetahui faktor-faktor yang mempengaruhi ketimpangan wilayah di Provinsi Jawa Timur.Penelitian ini menggunakan 1) Indeks Williamson untuk mengukur ketimpangan wilayah, 2) Analisis regresi linear berganda (Ordinary Least Square) dengan waktu penelitian tahun 2001-2015. Penelitian ini menggunakan software Eviews 9.Hasil Penelitian menunjukkan bahwa tingkat ketimpangan wilayah di Provinsi Jawa Timur cenderung meningkat dengan nilai indeks Williamson lebih dari 1. Hasil analisis regresi linear berganda dalam penelitian ini ada tiga variabel yang hasilnya signifikan (α=5%) dan berpengaruh terhadap ketimpangan wilayah yaitu variabel investasi, angkatan kerja dan IPM serta dua variabel yang tidak signifikan yaitu variabel pertumbuhan ekonomi, pengeluaran pemerintah. Kata Kunci: Ketimpangan Wilayah, Indeks Williamson, Jawa Timur AbstractRegional inequalities are one of the most common issues in developing countries including in Indonesia. East Java is the pro vince with the quiet high inequalities value compared to the other provinces in Java Island. This study aims to: 1) to calculate the inequality value in East Java Province, 2) to classify the regions in East Java Province using Klassen Typology, 3) to determine factors that affect inequalities value in East Java Province.The methods used in this study were 1) Williamson Index to calculate the inequalities values, 2) Multiple linear regression analysis (Ordinary Least Square) during 2001 – 2015 using Eviews 9 software.The result of the study showed that the level of regional inequalities in East Java Province tends to increase with the Williamson index value more than 1. The result of multiple linear regression analysis, the variable of investment, labor forced and HDI were resulted to significant and it affect to the regional inequalities, meanwhile the variable of economic growth, and government expenditure were insignificant.Keyword: inequalities, Williamson Index, Klassen Typology, East Java

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Pengaruh FED rate, inflasi, dan indeks NIKKEI 225 terhadap IHSG di Indonesia (2016-2017)

e-Journal Perdagangan Industri dan Moneter ◽

10.22437/pim.v7i3.7432 ◽

2019 ◽

Vol 7 (3) ◽

pp. 173-184

Author(s):

Joventus Partogi Silaen Joventus ◽

Haryadi Haryadi ◽

Emilia Emilia

Keyword(s):

Stock Price ◽

Linear Regression Analysis ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Analysis Method ◽

Monthly Data ◽

Ordinary Least Square ◽

Negative Effect ◽

Research Period

This study aims to analyze the influence and look at the Fed Rate, Inflation in Indonesia, and the NIKKEI 225 Index on the Composite Stock Price Index (JCI). The data used in this study is secondary data obtained from Bank Indonesia, Investing.com, library sources, journals, and other scientific articles. The analytical method used in this study is the multiple linear regression analysis method using the Ordinary Least Square (OLS) method. Data is processed using software using monthly data with the research period from January 2016-December 2017 sourced from the internet, scientific journals, and books. The results of this study indicate that partially the FED Rate variable has a negative effect on the JCI, Inflation has a negative effect on the JCI, and the NIKKEI 225 Index has no effect on the NIKKEI 225 Index. Meanwhile, simultaneously all variables affect the JCI. Keywords: Fed Rate, Inflation, NIKKEI 225 Index, IDX

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Apakah Sukuk Ritel Merupakan Ancaman Bagi penghimpunan Dana Pihak Ketiga Pada Bank Syariah?

Jurnal Ekonomi ◽

10.24912/je.v25i2.651 ◽

2020 ◽

Vol 25 (2) ◽

pp. 182

Author(s):

Muhammad Syakur

Keyword(s):

Linear Regression Analysis ◽

Secondary Data ◽

Multiple Linear Regression Analysis ◽

Least Square ◽

Islamic Banking ◽

Islamic Banks ◽

Ordinary Least Square ◽

Analysis Techniques ◽

Independent Variables ◽

Islamic Bank

This research is a quantitative study that aims to consider the effect of retail sukuk on the collection of third parties funds (TPF) in Indonesian Islamic Banks for 2015 - 2019. The data used are secondary data retrieved from Islamic Banking Statistics Report for shariah commercial and unit shariah bank quarterly. The method is multiple linear regression analysis techniques with Ordinary Least Square (OLS) approach, using TPF as the dependent variable while Retail Sukuk, ROA, Promotion Cost, Inflation and Bi rate as the independent variables. The results shows Retail Sukuk has a negative and significant impact on the collection of TPF which is intended that retail sukuk is causing the decrease of TPF amount in Indonesian Islamic bank. Therefore the Indonesian government needs to review the policies related to retail sukuk issuance in order to synergize with the development of Islamic Banks. Other results indicate that ROA and promotion costs have positive and significant influance for TPF collection in Indonesian Islamic bank while BI rate is the opposite.

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