scholarly journals Efektivitas Penggunaan Input Dalam Usaha Tani Bawang Merah Di Kecamatan Baraka Kabupaten Enrekang

Media Ekonomi ◽  
2021 ◽  
pp. 34
Author(s):  
Abdul Wahab ◽  
Bahrul Ulum Rusydi ◽  
Nirwana Nirwana
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Production Theory ◽  
Input Variables ◽  
Production Output

The working pattern of shallot farmers in Enrekang Regency still adheres to the old model of production principles, were to increase production is accompanied by adding the inputs. In fact, in the dimension of the Cobb-Douglas production theory, the addition of inputs is not always necessary in line with the increase of production output. Therefore, this study aims to see the effectiveness of inputs in shallots farming in Enrekang Regency. The input variables used in this study include the area of land, capital, labor, and technology that are optimized and correlated with the production of shallots. The analytical method used is multiple linear regression by adopting the Cobb-Douglas production theory. The results of the analysis found that the use of inputs is reaching the condition of decreasing return to scale in shallots farming.

scholarly journals Predictive modelling of soils’ hydraulic conductivity using artificial neural network and multiple linear regression

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Charles Gbenga Williams ◽  
Oluwapelumi O. Ojuri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hydraulic Conductivity ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Coarse Grained ◽  
Soil Types ◽  
Wide Range ◽  
Artificial Neural ◽  
Input Variables

AbstractAs a result of heterogeneity nature of soils and variation in its hydraulic conductivity over several orders of magnitude for various soil types from fine-grained to coarse-grained soils, predictive methods to estimate hydraulic conductivity of soils from properties considered more easily obtainable have now been given an appropriate consideration. This study evaluates the performance of artificial neural network (ANN) being one of the popular computational intelligence techniques in predicting hydraulic conductivity of wide range of soil types and compared with the traditional multiple linear regression (MLR). ANN and MLR models were developed using six input variables. Results revealed that only three input variables were statistically significant in MLR model development. Performance evaluations of the developed models using determination coefficient and mean square error show that the prediction capability of ANN is far better than MLR. In addition, comparative study with available existing models shows that the developed ANN and MLR in this study performed relatively better.

scholarly journals Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Andres Mauricio Munar ◽  
José Rafael Cavalcanti ◽  
Juan Martin Bravo ◽  
David Manuel Lelinho Da Motta Marques ◽  
Carlos Ruberto Fragoso Júnior
Keyword(s):  
Linear Regression ◽  
Spatial Heterogeneity ◽  
Multiple Linear Regression ◽  
Chlorophyll A ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Accurate Estimation ◽  
Shallow Waters ◽  
Chl A ◽  
Input Variables

ABSTRACT Accurate estimation of chlorophyll-a (Chl-a) concentration in inland waters through remote-sensing techniques is complicated by local differences in the optical properties of water. In this study, we applied multiple linear regression (MLR), artificial neural network (ANN), nonparametric multiplicative regression (NPMR) and four models (Appel, Kahru, FAI and O14a) to estimate the Chl -a concentration from combinations of spectral bands from the MODIS sensor. The MLR, NPMR and ANN models were calibrated and validated using in-situ Chl -a measurements. The results showed that a simple and efficient model, developed and validated through multiple linear regression analysis, offered advantages (i.e., better performance and fewer input variables) in comparison with ANN, NPMR and four models (Appel, Kahru, FAI and O14a). In addition, we observed that in a large shallow subtropical lake, where the wind and hydrodynamics are essential factors in the spatial heterogeneity (Chl-a distribution), the MLR model adjusted using the specific point dataset, performed better than using the total dataset, which suggest that would not be appropriate to generalize a single model to estimate Chl-a in these large shallow lakes from total datasets. Our approach is a useful tool to estimate Chl -a concentration in meso-oligotrophic shallow waters and corroborates the spatial heterogeneity in these ecosystems.

scholarly journals EFFECT OF MOTIVATION, WORK DISCIPLINE AND ORGANIZATIONAL CULTURE ON EMPLOYEE PERFORMANCE PT SHARP ELECTRONICS INDONESIA (DIVISION CUSTOMER SATISFACTION)

2020 ◽  
Vol 6 (7) ◽  
pp. 79-86
Author(s):  
Tri Yudha Ardiyanto ◽  
Tajuddin Pogo
Keyword(s):  
Organizational Culture ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Performance Appraisal ◽  
Analytical Method ◽  
Quantitative Research ◽  
Employee Performance ◽  
Sampling Techniques ◽  
Assessment Indicator

This research examines and analyzes motivation, work discipline and organizational culture on the performance of employees at PT Sharp Electronics Indonesia (division Customer Satisfaction) that have not been maximized, due to the achievement of the results of performance appraisal in the 2017L and 2018F periods there was a decrease in each assessment indicator which greatly impacted employee performance. The method used is quantitative research. With a population of 110 employees, PT Sharp Electronics Indonesia (Division Customer Satisfaction), with sampling techniques using Slovin formula with a total of 86 employees. The analytical method used in this study is multiple linear regression. The results of the study show that Motivation, Work Discipline and Organizational Culture together (Simultaneous) significantly influence the Performance of Employees of PT Sharp Electronics Indonesia (Division Customer Satisfaction).

scholarly journals KOMPENSASI, MOTIVASI, PELATIHAN, DAN LINGKUNGAN KERJA PADA KUALITAS KINERJA PEGAWAI

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuli Tri Cahyono ◽  
Eskasari Putri
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Analytical Method ◽  
Employee Performance ◽  
Performance Data ◽  
Research Hypothesis

AbstrakPenelitian ini bertujuan untuk menguji dan menganalisis pengaruh kompensasi, motivasi, pelatihan, dan lingkungan kerja pada kualitas kinerja pegawai. Pengumpulan data dilakukan melalui penyebaran kuesioner. Analisis data pada penelitian ini menggunakan bantuan SPSS. Metode analisis yang digunakan adalah regresi liner berganda untuk menguji dan membuktikan hipotesis penelitian. Hasil analisis menunjukkan bahwa pelatihan berpenaruh terhadap kualitas kinerja pegawai, sedangkan kompensasi, motivasi, dan lingkungan kerja tidak berpengaruh.Kata Kunci: pelatihan, lingkungan kerja, motivasi, kinerja pegawaiAbstractThis study aims to examine and analyze the effect of compensation, motivation, training, and work environment on the quality of employee performance. Data collection was carried out through questionnaires. Analysis of the data in this study using SPSS. The analytical method used is multiple linear regression to test and prove the research hypothesis. The results of the analysis show that training affects the quality of employee performance, while compensation, motivation, and work environment have no effect.Keywords: training, work environment, motivation, employee performance

scholarly journals ANALISIS PENGARUH PROFITABILITAS, STRUKTUR MODAL, KEPEMILIKAN MANAJERIAL DAN DEWAN KOMISARIS INDEPENDEN TERHADAP NILAI PERUSAHAAN

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Alfiana Suri ◽  
Retno Wulandari ◽  
Supami Wahyu Setiyowati
Keyword(s):  
Linear Regression ◽  
Capital Structure ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Firm Value ◽  
Sampling Method ◽  
Managerial Ownership ◽  
Purposive Sampling ◽  
Company Value

The effect of profitability, capital structure, managerial ownership and independent board of commissioners on the company's value both simultaneously and partially. The technique used in sampling uses a purposive sampling method because in sampling it uses certain criteria. The research was conducted in the period 2016-2018. The analytical method used is multiple linear regression with the SPSS 22 program. The results of the study show that there is simultaneously an influence between profitability, capital structure, managerial ownership and independent board of commissioners on company value and partial profitability which has no influence on firm value, while capital structure, managerial ownership and independent board of commissioner have a significant effect on the value of the company.

scholarly journals PENGARUH SANKSI PERPAJAKAN, PELAYANAN FISKUS DAN PENGETAHUAN PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK ORANG PRIBADI (Studi Empiris Pada Wajib Pajak Orang Pribadi yang Terdaftar di KPP Pratama Jayapura)

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Bilha M. F. Mandowally ◽  
Theo Allolayuk ◽  
Cornelia D. Matani
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Survey Method ◽  
Independent Variables ◽  
The Individual

This research aims to see the effect of tax sanctions, tax services, and tax knowledge on individual taxpayer compliance. The independent variables used are taxation sanctions, tax authorities, and tax knowledge while the dependent variable is taxpayer compliance. The population in this study is an individual taxpayer registered at KPP Pratama Jayapura, using a survey method, by distributing questionnaires directly to taxpayers found at the Jayapura municipal office by researchers. The analytical method used in this study is multiple linear regression with SPSS 16 test. Based on theresults of the analysis show taxation sanctions partially affect the individual taxpayer compliance seen from the significance smaller than 0.05, namely (0.008), tax authorities' services affect complianceIndividual taxpayers seen from the significant value is smaller than 0.05, that is (0,000), and knowledge of taxation affects the individual taxpayer compliance seen from the significance smallerthan 0.05, that is (0.007).

scholarly journals ACADEMIC ATMOSPHERE, PROVISION OF FACILITIES AND ITS EFFECT ON THE SPIRIT OF PERMANENT LECTURERS AT STIE TRISNA NEGARA OKU TIMUR

2020 ◽  
Vol 4 (03) ◽  
Author(s):  
Winda Feriyana
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Correlation Coefficient ◽  
Confidence Level ◽  
Analytical Method ◽  
Linear Regression Equation ◽  
Spss Software ◽  
Dominant Influence

This research aims to partially and collectively analyze the influence of the academic atmosphere, the provision of facilities on the work spirit of permanent lecturers and to analyze the most dominant variable in influencing the work spirit of permanent lecturers at STIE Trisna Negara OKU Timur. The regression analysis results and the correlation between academic atmosphere and employee work spirit show the regression model Ŷ = 21,908 + 0.551X1 + e with a correlation coefficient of 0.589. The results of the regression analysis and the correlation between the provision of facilities on employee work spirit show the regression model Ŷ = 46.446 + 0.027X2 + e with a correlation coefficient of 0.033. The results of multiple regression analysis and the correlation between the academic atmosphere and the provision of facilities together on work spirit show the regression model Ŷ = 19.792 + 0.553X1 + 0.043X2 + e with a correlation coefficient of 0.592 at the 95% confidence level, it is found that the academic atmosphere and provision facilities can simultaneously predict employee work spirit. From the multiple linear regression equation above, it shows that the academic atmosphere variable (X1) has a more dominant influence on employee work spirit than the provision of facilities. This research was conducted on 45 respondents with the analytical method used is path analysis using SPSS software. Keywords : Academic Atmosphere, Facility Provision, Work spirit

scholarly journals Peran Moderasi Non Performing Financing Terhadap Pembiayaan Mudharabah, Musyarakah, Dan Profit Sharing Ratio Pada Profitabilitas Bank Umum Syariah

2021 ◽  
Vol 5 (2) ◽  
pp. 95-109
Author(s):  
Rekno Sawiji Lestari ◽  
Saiful Anwar
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Method ◽  
Commercial Banks ◽  
Research Method ◽  
Sampling Technique ◽  
Profit Sharing ◽  
Quantitative Approach ◽  
Purposive Sampling ◽  
Moderating Variables

The purpose of this study was to show the effect of mudharabah, musyarakah, and profit-sharing ratios on profitability with non-performing financing as moderating variables in Islamic commercial banks. This research method was designed using a quantitative approach. The sample used in this study was nine banks with a sampling technique using purposive sampling. The analytical method used is multiple linear regression. The results showed that mudharabah financing had a positive and significant effect on profitability, musyarakah financing and profit-sharing ratio did not affect profitability. Non-performing financing can moderate the effect of mudharabah financing and profit-sharing ratio but cannot moderate the effect of musyarakah financing on profitability. This research practically develops financing that can increase profitability and reduce non-performing financing to reduce losses for Islamic Commercial Banks.

scholarly journals THE EFFECT OF ECONOMIC GROWTH AND THE NUMBER OF POPULATION TO THE UNEMPLOYMENT RATE IN INDRAGIRI HULU REGENCY

2020 ◽  
Vol 9 (1) ◽  
pp. 51-60
Author(s):  
Aris Triyono
Keyword(s):  
Economic Growth ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Analytical Method ◽  
Total Population ◽  
Secondary Data ◽  
Regression Methods ◽  
Central Statistics

The research location used as the object of this research is the Central Statistics Agency of Indragiri Hulu Regency. This study aims to determine the effect of economic growth and population simultaneously on the unemployment rate, to determine the effect of economic growth partially on the unemployment rate, to determine the effect of the total population partially on the unemployment rate in Indragiri Hulu Regency. The type of data used in this study is secondary data. The analytical method used is multiple linear regression methods, with the help of SPSS version 21. Based on the results of simultaneous economic growth and population growth has a significant effect on the unemployment rate, economic growth has a partially positive and significant effect on the unemployment rate, the population has a partially positive and significant effect on the unemployment rate, and other variables affect the unemployment rate that is not examined in research

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