FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

La incidencia de la asistencia técnica en el desempeño de las unidades productoras agropecuarias en Colombia: un análisis comparativo

Ad-gnosis ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 68-81
Author(s):  
Carlos A Rodríguez Arias ◽  
◽  
Edwin Javier Arriera Valderrama ◽  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Agricultural Production ◽  
Regression Models ◽  
Technical Assistance ◽  
Regional Level ◽  
Linear Regression Models ◽  
Assistance Programs ◽  
The Impact ◽  
Multiple Linear Regression Models

The technical assistance programs have the purpose of transferring knowledge to the Agricultural Production Units -UPA- for their efficient development. However, this knowledge transfer in many cases is not effective, having little influence on the UPAS. In this sense, this article aims to assess the impact that technical assistance programs have had on the performance of UPAs at the regional level by making comparisons between regions. Through multiple linear regression models, the degree of influence of different technical assistance programs on the performance of agricultural production units will be established. The results show that in general these programs have had little impact on the performance of the UPA for each region analyzed.

scholarly journals ANALISIS PENGARUH FUNGSI INTERMEDIASI PERBANKAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA TAHUN 2008 - 2011

2013 ◽  
Vol 11 (2) ◽  
pp. 147
Author(s):  
. Anjarwati
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Linear Regression Models ◽  
Independent Variables ◽  
Multiple Linear Regression Models

This study aims to analyze the development of intermediation to economic growth in Indonesia and a significant test whether or not the effect of intermediation on economic growth. From the test results obtained by the coefficient of determination (R2) for multiple linear regression models for 0.916. It means that the independent variables can explain the variation in the dependent variable 91.6% together, then variable t can be seen that variable Interest Rate Loans and lending have a significant effect on economic growth, It is proved that t-count > t-table. Lending to the variable (X1) 7,944 t > t table 2.026, and for variable Interest Rate Loans (X2) 4.521 t-count > t table 2.026. From the analysis has been conducted simultaneously indicates that those independent variables have a significant effect on economic growth, with simultaneous F test results are calculated F value > F 204.012> 3.25. it means that Ho is rejected.

scholarly journals PENGARUH INFLASI, BI RATE, SUKU BUNGA KREDIT UMKM TERHADAP NON PERFORMING LOAN KREDIT UMKM PADA BANK UMUM

2020 ◽  
Vol 8 (2) ◽  
pp. 156
Author(s):  
Suharna Suharna
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Commercial Banks ◽  
Regression Models ◽  
Inflation Rate ◽  
Secondary Data ◽  
The Other ◽  
Linear Regression Models ◽  
Multiple Linear Regression Models

This study aims to obtain empirical evidence on the influence of inflation, rate of Bank Indonesia, and credit interest rate on non - performing SMEs credit loan at Commercial Banks. This study uses secondary data obtained from quarterly OJK reports and Bank Indonesia monthly reports for the period of 2014 - 2018. Multiple linear regression models are used to test the hypotheses of this study. It was found that the inflation rate and the rate of Bank Indonesia individually doesn't have a siignificant influence on non - performing SMEs credit loans. On the other hand, it was found that credit interest rate has a signifinicant influence on non - performing SMEs credit loans.

scholarly journals Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

scholarly journals Isotonic quadriceps endurance is better associated with daily physical activity than quadriceps strength and power in COPD: an international multicentre cross-sectional trial

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Erik Frykholm ◽  
Sarah Gephine ◽  
Didier Saey ◽  
Arthur Lemson ◽  
Peter Klijn ◽  
...  
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Sedentary Time ◽  
Quadriceps Strength ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Quadriceps Function ◽  
Multiple Linear Regression Models

AbstractKnowledge about modifiable determinants of daily physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) is crucial to design effective PA interventions. The present study aimed to determine the contribution of quadriceps strength, power and endurance to daily PA in COPD. Additionally, for quadriceps endurance, we also aimed to determine to what extent the association varies according to the mode of movement (isotonic, isometric, or isokinetic). Using a multicentre cross-sectional trial design we determined the contribution of quadriceps function to daily PA (steps, sedentary time and time spent doing moderate-to-very-vigorous physical activity [MVPA]) using bivariate and partial Pearson correlation analysis (r) and multiple linear regression models (ΔR2). Pre-determined controlling factors were sex, age, body mass index (BMI), COPD-assessment test, forced expiratory volume in one second in percent of the predicted value (FEV1pred), and distance walked on the 6-minute walk test. Eighty-one patients with COPD (mean ± SD: age 67 ± 8 years, FEV1pred 57 ± 19%, daily steps 4968 ± 3319, daily sedentary time 1016 ± 305 min, and MVPA time 83 ± 45 min) were included. Small to moderate bivariate correlations (r = .225 to .452, p < .05) were found between quadriceps function and measures of PA. The best multiple linear regression models explained 38–49% of the variance in the data. Isotonic endurance was the only muscle contributor that improved all PA models; daily steps (ΔR2 = .04 [relative improvement 13%] p = .026), daily sedentary time (ΔR2 = .07 [23%], p = .005) and MVPA-minutes (ΔR2 = .08 [20%], p = .001). Isotonic endurance was also independently associated with most PA variables, even when controlling for strength, power or isometric-isokinetic endurance properties of the muscle (r = .246 to .384, p < .05). In contrast, neither strength, power, isometric-or isokinetic endurance properties of the muscle was independently associated with PA measures when controlling for isotonic endurance (r = .037 to .219, p > .05). To conclude, strength, power, and endurance properties of the quadriceps were low to moderately associated with PA in patients with COPD. Isotonic quadriceps endurance was the only quadriceps property that was independently associated with the different measures of PA after controlling for a basic set of known determinants of PA, quadriceps strength or power, or isometric or isokinetic quadriceps endurance. Future longitudinal studies should investigate its potential as a modifiable determinant of PA.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI SUSU SAPI PERAH KELOMPOK TANI TERNAK SAPI PERAH (KTTSP) KANIA, KABUPATEN BOGOR

2019 ◽  
Vol 11 (2) ◽  
pp. 148-160
Author(s):  
Adam Adinegoro ◽  
Edmon Daris ◽  
Zulmanery Z
Keyword(s):  
Linear Regression ◽  
Dairy Cattle ◽  
Multiple Linear Regression ◽  
Milk Production ◽  
Regression Models ◽  
Linear Regression Models ◽  
Factors Affecting ◽  
Cattle Ranchers ◽  
Multiple Linear Regression Models

The purpose of this study are: (1) to identify and to analyze the factors that influence milk production of dairy cattles, and (2) to determine the elasticity of milk production. This research was conducted at the Dairy cattle group KANIA, Bogor. Data were obtained from interviews and questionnaires with cattle ranchers. Multiple linear regression models and elasticity calculations were employed to analyze the data with the Excel 2007 and software for Statistical Product and Service Solution (SPSS) version 16. Results of the analysis revealed that the factors affecting milk production is labor, forages, and feed concentrates. The result of the calculation of the elasticity indicated that all production variables are elastic variables.

scholarly journals The Effect of Religiousity and Emotional Intelligence on the Performance of the Management of the Student Organization with Motivation as Intervening Variable

2021 ◽  
Vol 4 (1) ◽  
pp. 219-232
Author(s):  
Zulhazzi Siregar ◽  
Sugianto Sugianto ◽  
Marliyah Marliyah
Keyword(s):  
Emotional Intelligence ◽  
Linear Regression ◽  
Regression Models ◽  
Education Institution ◽  
Boarding School ◽  
Islamic Education ◽  
Linear Regression Models ◽  
Student Organization ◽  
Religious Attitude ◽  
Multiple Linear Regression Models

Islamic Boarding School is a life-oriented Islamic education institution that emphasizes the importance of having a religious attitude and good emotional intelligence in students as a form of motivation that supports good performance and brings the good name of the Islamic boarding school. This study aims to prove how the direct and indirect influence of Religiosity and Emotional Intelligence on performance with motivation as an intervening variable. The sample in this study was the member of the Student Organization of Modern Islamic Boarding School Nurul Hakim Tembung, totaling 47 people. The method used in this research is a quantitative approach using path analysis with multiple linear regression models with SPSS version 20. The results of this study found that religiosity does not affect motivation. Emotional intelligence has a significant effect on motivation. Motivation does not affect performance. Indirectly Religiosity does not affect performance through motivation. Emotional intelligence indirectly does not affect performance through motivation.   Religiosity, Emotional Intelligence, Motivation, Performance.

Sign in / Sign up

Export Citation Format

Share Document