scholarly journals The Effect of Motor Vehicle Tax on Regional Original Income (PAD) Bone Bolango District

2020 ◽  
Vol 1 (2) ◽  
pp. 40-49
Author(s):  
Ramlah Alkatiri ◽  
Nur Eng Mokodompit ◽  
Riky Oktavianus
Keyword(s):  
Linear Regression ◽  
Linear Regression Model ◽  
Motor Vehicle ◽  
Equation Model ◽  
Research Data ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Simple Linear Regression ◽  
Local Revenue ◽  
Finance Development

Tax is a source of state or regional income whose contribution is highly expected to finance development. One of the taxes that has the potential to become one of the sources to encourage local revenue is the Motor Vehicle Tax. This study aims to determine the effect of motorized vehicle tax on local revenue in Bone Bolango Regency. The results of the study show that the Motor Vehicle Tax (PKB) every year in the last 5 years (2015-2019) continues to increase in terms of realization achievement. Because it is able to make a real contribution to the PAD of Bone Bolango Regency. The results of the simple linear regression calculation and the calculation of the coefficient of determination show that the motor vehicle tax has a significant effect on PAD revenue as indicated by the value of RSquare = 0.784 or 78.4 percent. While the remaining 21.6 percent is influenced by other factors not examined. The test results are significant in the Summary Model table Sig = 0.046 > criteria (0.05) thus the regression equation model based on the research data is significant, meaning that the linear regression model meets the linearity criteria.

PENGARUH PENDAPATAN ASLI DAERAH DAN DANA ALOKASI UMUM TERHADAP TINGKAT KEMANDIRIAN KEUANGAN DAERAH (Studi Empiris pada Provinsi D.I Yogyaarta tahun 2008-2013)

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Titi Yuli Astuti ◽  
Sunarto Sunarto
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Hypothesis Test ◽  
Secondary Data ◽  
T Test ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Financial Independence ◽  
Local Revenue

The purpose of this study was to determine (1) the level of local financial independence in the province D.I. Yogyakarta (2) the influence of the local revenue of the level of local financial independence in the province D.I. Yogyakarta, and (3) the effect of general allocation funds to the level of financial independence in the region D.I. Yogyakarta province. This research is quantitative. The population in this study is D.I. Yogyakarta province of 2008-2013. The data used in this research is secondary data. Secondary data used was obtained APBD Realization Report of DPDPK city of Yogyakarta and BPS. The data have been collected and analyzed by the method of data analysis first conducted classical assumption test before hypothesis test. Testing the hypothesis in this study using multiple linear regression t test, F test, and test the coefficient of determination. The analysis showed local revenue positive and significant impact on the level of local financial independence with 15.661 t-test results with a significant level of 0.000, t-test bigger than ttable (15.661> 2.0639, general allocation funds do not affect the level of independence the financial area, with the t-count is smaller than t-table (-0.216

Pengaruh E-Commerce terhadap Perilaku Konsumen dalam Perspektif Ekonomi Syariah

2020 ◽  
Vol 3 (2) ◽  
pp. 180-192
Author(s):  
Afdila Afdila ◽  
Ferdinan Ferdinan
Keyword(s):  
Consumer Behavior ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Simple Linear Regression ◽  
Economic Perspective ◽  
Economics Students ◽  
Regression Test ◽  
Islamic Economic

This study aimed at exploring whether e-commerce has an effect on consumer behavior in the perspective of Islamic economics in Islamic Economics students STAI Auliaurrasyidin Tembilahan. This research was motivated by the development of e-commerce as an online shopping application that has an impact on student consumer behavior. This study used a quantitative method with a simple linear regression analysis. The sample in this study was 146 respondents. In the simple linear regression test, the equation Y = 16.444 + 0.787 was obtained. Then from the t-test results obtained tcount (9.927) <ttable (1.976), so e-commerce has a significant effect on consumer behavior in the Islamic economic perspective. Based on the calculation of the coefficient of determination, the value is 0.406 or 40.6%. This data stated that the effect of e-commerce on consumer behavior in the Islamic economic perspective was 40.6%, while the remaining 59.4% was explained by other factors that were not observed in this study.

scholarly journals Study on Optimalization of Own-Source Revenue in Regencies and Municipals in Central Java Province

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Jalu Adi Prakoso ◽  
Suci Rahmawati Prima ◽  
M. Chrisna Satriagasa ◽  
M. Syahli IMNS
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Positive Trend ◽  
Simple Linear Regression ◽  
Local Revenue ◽  
Central Java ◽  
The Government ◽  
The Relationship ◽  
Central Java Province

<p>Optimizing the management of potential areas would provide additional revenue for the region. This research aims to assess whether the government in the counties and cities in Central Java province has been optimally manage their potentials so as to provide benefits beupa increased local revenues derived from the wealth management area. Through the relationship between the variables of the original income (PAD) and the Gross Domestic Product (GRDP) in the counties and cities in Central Java is expected to be known whether each area has been optimal in obtaining local revenue. The data used is data sekuder form of data revenues and GRDP in counties and cities in the province of Central Java during the years 2011-2013 were berusmber from the Central Statistics Agency (BPS), the Supreme Audit Agency (BPK), Report of Realized APBD, and RPJMD Central Java.</p><p>Methods of data analysis in this research is to use a simple linear regression analysis (OLS Model) and design analysis group. The analysis showed the existence of ties between the GRDP and the PAD. The magnitude of the relationship analyzed by simple linear regression, where the results indicate a positive trend. That is, there is a directly proportional relationship anatara GRDP and PAD. The coefficient of determination of 99.9% explained that the GRDP variable can be explained by the variable revenue of 99.9%, while 0.1% is explained by other variables.</p><p>The analysis showed that the GRDP value of the coefficient b&gt; b PAD either at the district, town and overall. These results indicate that there has been no attempt by the government to manage PAD so as to generate the GRDP increase. The government can manage the outcome of PAD to be used in a way that increases the GRDP obtained. As for the test results to determine differences in optimizing the management of local revenue between districts and cities showed that the district can generate GRDP is greater with smaller PAD. It shows that the effort made by the district is more efficient than the effort undertaken by the municipality.</p><p>Spatial analysis shows a comparison of the GRDP against the PAD in each county and city in Central Java province is divided into four clusters. Each cluster has a distinct regional characteristics seen from economic activity. The results of the socio-economic analysis of the economy in Central Java province when seen from the conditions of employment, which absorbs the most amount of power keraja is in the agricultural sector, which amounted to 31%, followed by the trade sector 22% and industry 19%.</p><p>Keyword: Decentralization, PAD, GRDP</p>

scholarly journals PENGARUH HASIL KEUNTUNGAN TERHADAP PERTAMBAHAN NASABAH PADA BPRS RAHMAH HIJRAH AGUNG LHOKSEUMAWE: KASUS JENIS SIMPANAN MUDHARABAH

2020 ◽  
Vol 4 (1) ◽  
pp. 47-54
Author(s):  
Mukhlis Mukhlis ◽  
Musrizal Musrizal ◽  
Zainuddin Iba
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Quantitative Study ◽  
Linear Regression Model ◽  
Least Square ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Outcome Variable ◽  
Simple Linear Regression ◽  
Ordinary Least Square

Abstract This study aims to explain the effect of profit on the addition of customers in the bank of Syariah Rahmah Hijrah Agung Lhokseumawe (BPRS) type mudharabah deposits. This is a quantitative study, using primary data from 2006 - 2018 obtained from SRB Rahmah Hijrah Agung. The data analysis uses the Simple Linear Regression Model Through The Ordinary Least Square (OLS) method. Based on the results of statistical calculations through the SPSS program. We get the results of the regression equation Y = 12,177 + 0.013 X. This shows that the profits have a positive and significant effect on the addition of customers in SRB Rahmah Hijrah Agung Lhokseumawe type of mudharabah deposits. where, the acquisition of t-value and t-table value respectively 4.171 and 2.144. This shows, however, that the t-calculated value is greater than the t-table value. The coefficient of determination (R2) obtained is 90.1%. that is, the ability of the profit outcome variable (X) to explain its effect on customer accretion (Y) by 90.1 percent, while the remaining 9.9 percent is explained by other variables, apart from the model. Keywords: Profits, Customers, Mudharabah Deposits.   Abstrak Penelitian ini bertujuan untuk menjelaskan pengaruh hasil keuntungan terhadap pertambahan nasabah Bank Perkreditan Rakyat Syariah (BPRS) Rahmah Hijrah Agung Lhokseumawe jenis simpanan mudharabah. Ini merupakan penelitian kuantitatif, menggunakan data primer dari tahun 2006 - 2018 yang diperoleh dari BPRS Rahmah Hijrah Agung. Adapun analisis data menggunakan model Regresi Linear Sederhana melalui metode Ordinary Least Square (OLS). Berdasarkan hasil perhitungan statistik melalui program SPSS. Kami mendapatkan hasil persamaan regresi Y = 12,177 + 0,013 X. + e. Ini  menunjukkan bahwa, hasil keuntungan berpengaruh positif dan signifikan terhadap pertambahan nasabah pada BPRS Rahmah Hijrah Agung Lhokseumawe jenis simpanan mudharabah. Dimana, perolehan nilai t-hitung dan nilai t-tabel masing-masing sebesar 4,171 dan 2,144. Ini menunjukkan, bahwa, nilai t-hitung lebih besar dari nilai t-tabel. Koefisien determinasi (R2) yang didapat sebesar 90,1%. Artinya, kemampuan variabel hasil keuntungan (X) untuk menjelaskan pengaruhnya terhadap pertambahan nasabah (Y) sebesar 90,1 persen, sedangkan sisanya 9,9 persen dijelaskan oleh variabel lain, selain dari dalam model. Kata kunci: Hasil Keuntungan, Nasabah, Simpanan Mudharabah.

scholarly journals THE EFFECT OF COMPETENCY ON CIVIL SERVANTS PERFORMANCE IN THE HEALTH SERVICE OF PEKANBARU CITY

2020 ◽  
Vol 11 (3) ◽  
pp. 240-254
Author(s):  
Herman Rupat
Keyword(s):  
Linear Regression ◽  
Health Service ◽  
Employee Performance ◽  
Civil Servants ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Simple Linear Regression ◽  
Validity Test ◽  
Performance Variables ◽  
And Performance

In order to improve the quality and quantity of performance of Civil Servants (PNS) at the Pekanbaru City Health Office, it is necessary to conduct Competency research for all Civil Servants (PNS) of the Pekanbaru City Health Office. This competency is carried out so that office holders can occupy their positions in accordance with their educational qualifications, skills/ experience and attitudes. In general, the purpose of this study is to determine the effect of competence on employee performance at the Pekanbaru City Health Office. The number of samples in this study were 91 employees. In the overall validity test the statement of competence and performance variables are declared valid because the rcount > rtable (0.206) is obtained. Simple linear regression results obtained by the value of Y = 2.729 + 0.899X. From the partial test results or t test obtained value of tcount (6.928) > ttable (1.986) with a sig level of 0.000 < 0.05 which means that competence has a significant effect on performance. The coefficient of determination test results (R2) of 0.350 or 35 %, meaning that the magnitude of the influence or contribution given by the competency variable to the performance variable is 35 % while the remaining 65 % is influenced by other factors not examined in this study.

scholarly journals Pengaruh bauran pemasaran terhadap keputusan konsumen menggunakan jasa angkutan bis trayek Pontianak-Sintang kelas executive pada PT. ADAU KAPUAS

2016 ◽  
Vol 11 (2) ◽  
pp. 612
Author(s):  
Sinhan 01 ◽  
Hajijah A
Keyword(s):  
Linear Regression ◽  
Sampling Technique ◽  
Marketing Mix ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Simple Linear Regression ◽  
Product Price ◽  
Transportation Services ◽  
Model Independent ◽  
Bus Transportation

This study aims to determine the effect of marketing mix consisting of product, price, promotion, place, people, process, physical evidence, the consumer decision to use bus transportation services PT.ADAU KAPUAS route Pontianak-Sintang. The population in this study are all passengers using bus transportation services route Pontianak-Sintang class executive at PT. Adau KAPUAS. While the sample is part of the number and characteristics of being owned by the population. The samples used were asmany as 100 people with sampling techniques. The sampling technique used is incidental sampling is according Sugiono (2003: 65)  "sampling technique based on the chance that anyone who by chance met the researchers used as a sample. Simple Linear Regression Test results indicate the following matters, or the estimated regression equation explains the data processing is written Y = 1.062 + 0,796X that if the marketing mix of zero (0), then the decision of consumers using bus transportation services route Pontianak-Sintang executive class PT. Adau KAPUAS of 1,062.Uji coefficient of determination (R²) indicate that as many as 23.8% (1 x 0.238 x 100%)  the decision of consumers using bus transportation services route Pontianak-Sintang influenced by the marketing mix and the remaining 76.2,% (1 - 0.238 x 100%)  influenced by factors or other variables out of the study. From the results of regression analysis showed that test the feasibility of the model independent variables have an effect on the dependent variable. This is evident from the calculated F value of 30.636> F table 2,10 and has a significant value (sig)  of 0.000 which is less than 0.05, meaning that the simple linear regression model can be used to predict consumer decisions are influenced by the marketing mix.

Maintaining Customer Loyalty by Intensifying Service Quality and Customer Satisfaction in Commuter Line Jabodetabek

2019 ◽  
Vol 10 (9) ◽  
pp. 902-909
Author(s):  
Umbas Krisnanto ◽  
◽  
Conny Marpaung ◽  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Hypothesis Testing ◽  
Customer Loyalty ◽  
T Test ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Significance Level

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.

IMPLEMENTASI ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Fransiskus Ginting ◽  
Efori Buulolo ◽  
Edward Robinson Siagian
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Visual Basic ◽  
Large Contribution ◽  
Simple Linear Regression ◽  
Information Discovery ◽  
Regional Income ◽  
Local Revenue ◽  
Local Taxes ◽  
The Future

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008

scholarly journals Developing Equations for Converting Digestible Energy to Metabolizable Energy for Korean Hanwoo Beef Cattle

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1696
Author(s):  
Ridha Ibidhi ◽  
Rajaraman Bharanidharan ◽  
Jong-Geun Kim ◽  
Woo-Hyeong Hong ◽  
In-Sik Nam ◽  
...  
Keyword(s):  
Linear Regression ◽  
Beef Cattle ◽  
Strong Relationship ◽  
Dietary Factors ◽  
Metabolizable Energy ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Male And Female ◽  
Digestible Energy ◽  
Wide Range

This study was performed to update and generate prediction equations for converting digestible energy (DE) to metabolizable energy (ME) for Korean Hanwoo beef cattle, taking into consideration the gender (male and female) and body weights (BW above and below 350 kg) of the animals. The data consisted of 141 measurements from respiratory chambers with a wide range of diets and energy intake levels. A simple linear regression of the overall unadjusted data suggested a strong relationship between the DE and ME (Mcal/kg DM): ME = 0.8722 × DE + 0.0016 (coefficient of determination (R2) = 0.946, root mean square error (RMSE) = 0.107, p < 0.001 for intercept and slope). Mixed-model regression analyses to adjust for the effects of the experiment from which the data were obtained similarly showed a strong linear relationship between the DE and ME (Mcal/kg of DM): ME = 0.9215 × DE − 0.1434 (R2 = 0.999, RMSE = 0.004, p < 0.001 for the intercept and slope). The DE was strongly related to the ME for both genders: ME = 0.8621 × DE + 0.0808 (R2 = 0.9600, RMSE = 0.083, p < 0.001 for the intercept and slope) and ME = 0.7785 × DE + 0.1546 (R2 = 0.971, RMSE = 0.070, p < 0.001 for the intercept and slope) for male and female Hanwoo cattle, respectively. By BW, the simple linear regression similarly showed a strong relationship between the DE and ME for Hanwoo above and below 350 kg BW: ME = 0.9833 × DE − 0.2760 (R2 = 0.991, RMSE = 0.055, p < 0.001 for the intercept and slope) and ME = 0.72975 × DE + 0.38744 (R2 = 0.913, RMSE = 0.100, p < 0.001 for the intercept and slope), respectively. A multiple regression using the DE and dietary factors as independent variables did not improve the accuracy of the ME prediction (ME = 1.149 × DE − 0.045 × crude protein + 0.011 × neutral detergent fibre − 0.027 × acid detergent fibre + 0.683).

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