scholarly journals IMPLEMENTASI DATA MINING MENGGUNAKAN MULTI REGRESI UNTUK MEMPREDIKSI RERATA KEDATANGAN MASYARAKAT

2020 ◽  
Vol 8 (2) ◽  
pp. 25-30
Author(s):  
Dwi Marisa Efendi ◽  
Riski Oskar Pratama

This research  uses multiple linear regression methods. research is useful to predicate the average number of people's arrival. this research uses Microsoft Excel 2010 and Rapid miner applications. The variables used are independent variables, free: stock blangko, operator, and working time. predicted to use sample x1 = 795,x2= 3 people, x3= 7 hours , and y= 296 people. Prediction result is -92.2484452, error value data 0.548 and 0.548 for public arrivals.

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Umi Daimatul Muaddabah ◽  
Burhanudin Ahamd Yani ◽  
Supawi Pawenang

The purpose of this study is whether job training, career development and work environment have a significant and simultaneous effect on employee performance at Persada Indonesia's Persada Welfare Foundation. The population in this study came from the number of employees who worked, namely 43 people. The research sample was taken by incidental sampling and obtained 43 respondents with multiple linear regression methods. In this study, using a questionnaire that was distributed to the employees encountered. The results showed that the variables of job training, career development and work environment had a significant effect on employee performance at the Persada Persada Indonesia Welfare Foundation, either partially or simultaneously. Three independent variables explained that the employee's performance was 67.9% and the others were influenced by other variables Keywords: job training, career development and work environment, employee performance


2021 ◽  
Vol 29 (1) ◽  
pp. 43-56
Author(s):  
Prafidhya Dwi Yulianto ◽  
Lilik Ambarwati

The purpose of this research is to know the influence of Working CapitalManagement on Profitabilty in Consumers Goods listed on the Bursa EfekIndonesia (BEI) aims to analyze the influence of woring capital in the from of:Cash Turnover, Account Receivable Turnover, and Inventory Turnover toProfitability (Return On Asset) at Consumers Goods Sector. This research methoduses multiple linear regression analysys with the help of SPSS 23.00 softwarewhich is used to see the inflyence between the independent variables in the fromCash Turnover, Account Recevaible Turnover, and Inventory Turnover to ReturnOn Asset (ROA)). The sample of this research is 31 consumer goods sector in2015-2018, so there are 124 annual report obtained through purposive sampling,then analyzed using multiple linear regression methods. The result showed thadbased on the F test, the independent variable had an effect on the ROA, it isindicated of 6.765 and significance of 0.000, overall the independent variable wasable to eaplain the effect 59,60%. While based on the partial t test, shows that thevariable Cash Turnover, Account Recevaible Turnover, and Inventory Turnoverhas a positive and siginificant effect on Profitability.


2021 ◽  
Vol 16 (3) ◽  
pp. 451-460
Author(s):  
Natalia Natalia ◽  
Nina Purnasari ◽  
Ratnawaty Lumbantoruan ◽  
Etnasius Waruwu

The study was conducted to test how it affects partial independent variables and is simultaneous with bound variables. Where the free variables are Total Asset Turn Over(TATO), Debt To Equity Ratio(DER), Return On Equity(ROE), Price Earning Ratio(PER), and which become variables dependent is the Stock Price. The study had 52 populations while the sample consisted of 34 companies in 3 periods of consumer goods companies, So the total amount of data over three years was 102. In the visible T-Test results, a conclusion can be drawn that partially shows TATO and DER have no effect and no significance to the Stock Price. Where the variables ROE and PER have an influence and significant impact on the Stock Price. Then following the results of the F test, it can be concluded TATO, DER, ROE, and PER there is an influential and significant simultaneous on the Stock Price. The research was tried by the procedure of multiple linear regression methods and the test hypothesis using the Spss 23 process.  


Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.


2019 ◽  
Author(s):  
SUSENO - SUSENO

ANALISIS VARIABEL YANG BERPENGARUH TERHADAP KINERJA PERUSAHAAN DI BURSA EFEK INDONESIAOleh : Suseno STIE SATRIA Purwokerto ABSTRACT The aims of the research are (1) to analyze influence of age, scale, financial leverage, and profitability to performance of firms at The Indonesian Stock Exchange. (2) to determine the most influential variable on the performance of the firms. Hypotheses proposed in this research were: (1) Age, Scales, Financial Leverage, Profitability influences the performance of firms, (2) Age influences the performance of firms, (3) Scales influences the performance of firms, (4) Financial Leverage influences the performance of firms, (5) Profitability influences the performance of firms. Instrument of analysis employed in the research was multiple linear regression with t test and F test.The results of analyses of t test showed that profitability did not influence the performance of the firms. It was indicated by the value of computed t which was smaller than the value of t table. Meanwhile, the t test of age, scale and financial leverage indicated that the value of computed t > t table. It means that these variables (scale and financial leverage) influenced the performance of the firms. The F test showed that the independent variables of age, scale, financial leverage and profitability as a whole significantly influenced the performance of the firms. It was indicated by the calculated F > the value of F table, the value the age computed t which was smaller than the value of -t table..Based on the research results that age and profitability do not influence the performance of the firms, it is suggested that investors should not pay any attention to those variables. On the other hand, they should pay attention to the variables of scale and financial leverage. It is recommended that for further research should include longer periode of the sample.


2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.


2021 ◽  
Vol 13 (8) ◽  
pp. 1561
Author(s):  
Chinsu Lin ◽  
Siao-En Ma ◽  
Li-Ping Huang ◽  
Chung-I Chen ◽  
Pei-Ting Lin ◽  
...  

Surface fuel loading is a key factor in controlling wildfires and planning sustainable forest management. Spatially explicit maps of surface fuel loading can highlight the risks of a forest fire. Geospatial information is critical in enabling careful use of deliberate fire setting and also helps to minimize the possibility of heat conduction over forest lands. In contrast to lidar sensing and/or optical sensing based methods, an approach of integrating in-situ fuel inventory data, geospatial interpolation techniques, and multiple linear regression methods provides an alternative approach to surface fuel load estimation and mapping over mountainous forests. Using a stratified random sampling based inventory and cokriging analysis, surface fuel loading data of 120 plots distributed over four kinds of fuel types were collected in order to develop a total surface fuel loading model (lntSFL-BioTopo model) and a fine surface fuel model (lnfSFL-BioTopo model) for generating tSFL and fSFL maps. Results showed that the combination of topographic parameters such as slope, aspect, and their cross products and the fuel types such as pine stand, non-pine conifer stand, broadleaf stand, and conifer–broadleaf mixed stand was able to appropriately describe the changes in surface fuel loads over a forest with diverse terrain morphology. Based on a cross-validation method, the estimation of tSFL and fSFL of the study site had an RMSE of 3.476 tons/ha and 3.384 tons/ha, respectively. In contrast to the average loading of all inventory plots, the estimation for tSFL and fSFL had a relative error of 38% (PRMSE). The reciprocal of estimation bias of both SFL-BioTopo models tended to be an exponential growth function of the amount of surface fuel load, indicating that the estimation accuracy of the proposed method is likely to be improved with further study. In the regression modeling, a natural logarithm transformation of the surface fuel loading prevented the outcome of negative estimates and thus improved the estimation. Based on the results, this paper defined a minimum sampling unit (MSU) as the area for collecting surface fuels for interpolation using a cokriging model. Allocating the MSUs at the boundary and center of a plot improved surface fuel load prediction and mapping.


account ◽  
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Marthauli Marthauli ◽  
Elly Mirati ◽  
Rahmanita Vidyasari

ABSTRACT  In 2019, the number of BCA mobile banking transactions has increased by 99.2% and the number of BCA Mobile banking users has increased by 28.57%. This shows that the BCA mobile banking application is accepted by the majority of BCA bank customers, but in fact there are still many complaints from BCA Mobile users. Research aims to understand the effect of Service Feature Availability and Service Quality on Customers Interest in Using BCA Mobile in the Jabodetabek Area. The sample taken is 100 customers of Bank Central Asia. The analyze technique used is multiple linear regression with SPSS Version 26.0. The results shows that the Service Feature Availibility and Service Quality partially effect significantly of interest customers in using BCA Mobile in the Jabodetabek Area. All independent variables, have a joint contribution of 49.2% to the customers interest in using the BCA Mobile in the Jabodetabek Area.    Keywords: Service Feature, Service Quality, Customer Interest, BCA Mobile, Jabodetabek. ABSTRAK Pada tahun 2019, jumlah transaksi BCA mobile banking mengalami kenaikan sebesar 99,2%  dan jumlah pengguna BCA mobile banking mengalami kenaikan sebesar 28,57%. Hal ini menunjukkan bahwa aplikasi BCA mobile banking diterima dan diminati oleh sebagian besar nasabah bank BCA, tetapi kenyataannya masih banyak diterima keluhan dari pengguna BCA Mobile. Penelitian ini bertujuan untuk menganalisis pengaruh ketersediaan fitur layanan dan kualitas pelayanan terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek Sampel dalam penelitian ini terdiri dari 100 nasabah Bank Central Asia. Teknik analisis yang digunakan adalah regresi linear berganda dengan alat bantu analisis yaitu SPSS Versi 26.0. Hasil penelitian ini menunjukkan bahwa variabel ketersediaan fitur layanan dan kualitas pelayanan secara parsial berpengaruh signifikan terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek. Seluruh variabel bebas yaitu, ketersediaan fitur layanan dan kualitas pelayanan mempunyai kontribusi secara bersama-sama sebesar 49,2% terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek.    Kata kunci: Fitur Layanan, Kualitas Pelayanan, Minat Nasabah, BCA Mobile, Jabodetabek


2019 ◽  
Vol 11 (02) ◽  
pp. 31-47
Author(s):  
Sopi Sopi ◽  
Zumrotun Nafi'ah

Education, motivation and compensation are important things that can improve performance. This study aims to explain whether there is an influence of education, motivation and compensation on employee performance. So that through the results of this study it is expected to be a reference for leaders in managing the organization. In this study there are three independent variables namely education, motivation and compensation and one dependent variable is employee performance. At present it is in the era of industrial revolution 4.0, which is marked by; big data / giant data, internet of think, labor knowledge, and long life education. Since the beginning of the life of mankind to an infinite period, it is largely determined by the mastery of science and technology. Science and technology can not be separated from the progress of education level. Education is the base of all changes both individually, as well as countries. Employee performance is determined by the education that is owned, as high as education, the higher the performance and vice versa. The population in this study are BRI CAB employees, SEMARANG A-YANI, 60 people and all of them are sampled. The results of the analysis using SPSS 23 program statistical tools obtained multiple linear regression equation Y = 0.505 X1 + 0.175 X2 + 0.408 X3 The results of multiple linear regression equations show that there is a positive and significant influence between education on employee performance at BRI CAB. A YANI SEMARANG (t count test 6.314> t table 0.05), motivation towards employee performance at BRI CAB. A YANI SEMARANG (tcount 2,160> t table 0,05), and compensation for employee performance at BRI CAB. A YANI SEMARANG (t test 5.108> ttable 0.05). While together (simultaneously) the influence of education, motivation and compensation has an effect on and significant on the performance of employees at BRI CAB. A YANI SEMARANG (count = 44,692> ftabel = 0.05). The influence of the two research variables is very strong with a correlation value of 69.0% for employee performance at BRI CAB. A YANI SEMARANG is influenced by the motivation and compensation education of the remaining 31.0% of the employees' performance at BRI CAB. A YANI SEMARANG is influenced by other variables that affect employee performance.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  

Muscle quality is well-known to decrease with aging and is a risk factor for metabolic abnormalities. However, there is a lack of information on race-associated differences in muscle quality and other neuromuscular features related to functional performance. This study aimed to compare muscle quality, function, and morphological characteristics in Japanese and Brazilian older individuals. Eighty-four participants aged 65–87 years were enrolled in the study (42 Japanese: 23 men, 19 women, mean age 70.4 years; 42 Brazilians: 23 men, 19 women, mean age 70.8 years). Echo intensity (EI) and muscle thickness (MT) of the quadriceps femoris were measured using B-mode ultrasonography. A stepwise multiple linear regression analysis with EI as a dependent variable revealed that MT was a significant variable for Japanese participants (R2 = 0.424, P = 0.001), while MT and subcutaneous adipose tissue (SCAT) thickness were significant variables for Brazilian participants (R2 = 0.490, P = 0.001). A second stepwise multiple linear regression analysis was performed after excluding MT and SCAT thickness from the independent variables. Sex and age for Japanese participants (R2 = 0.381, P = 0.001) and lean body mass and body mass index for Brazilian participants (R2 = 0.385, P = 0.001) were identified as significant independent variables. The present results suggest that MT is closely correlated with muscle quality in Japanese and Brazilian older individuals. Increases in muscle size may induce decreases in intramuscular adipose tissue and/or connective tissues, which are beneficial for reducing the risks of metabolic impairments in Japanese and Brazilian older individuals.


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