scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Permintaan Listrik Kabupaten Manokwari (Studi Kasus Kelurahan Amban)

2020 ◽  
Vol 3 (2) ◽  
pp. 18-26
Author(s):  
Suryani Goga ◽  
Lillyani M. Orisu ◽  
Marcus R. Maspaitella
Keyword(s):  
Linear Regression ◽  
Literature Review ◽  
Multiple Linear Regression ◽  
Electrical Power ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Analytical Tool ◽  
Consumption Demand

Purpose of this study was to analyze the effect of the number of electronic furniture, the number of lamps, the number of family dependents, income and electrical power on the electricity demand by households in Amban Village, Manokwari Regency. The data obtained comes from the results of interviews and literature review that supports this research. The analytical tool used in this research is multiple linear regression. The results showed that the number of electrical furniture, the number of lamps and the number of dependents did not affect household electricity consumption, while income and electrical power did not affect household electricity consumption demand.

scholarly journals ANALISIS PENGARUH KUALITAS PELAYANAN, PROMOSI DAN HARGA TERHADAP KEPUASAN PELANGGAN PADA JASA PENGIRIMAN BARANG JNE DI BESUKI

2022 ◽  
Vol 18 (1) ◽  
pp. 182-191
Author(s):  
Kurnia Firmanda Jayanti ◽  
Feti Fatimah ◽  
Ahmad Izudin
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Technique ◽  
Analytical Tool ◽  
Quality Promotion

This research was conducted to see the effect of service quality, promotion and price on customer satisfaction. This research was conducted at the Besuki branch of JNE. Sampling was done by random sampling technique where all the population was taken at random to be the research sample. This is done to increase customer satisfaction at JNE Besuki branch through service quality, promotion and price. The analytical tool used is multiple linear regression to determine service quality, promotion and price on customer satisfaction. The results show that service quality affects customer satisfaction, promotion affects customer satisfaction, price affects customer satisfaction. Keyword : service quality, promotion, price, customer satisfaction

scholarly journals PENGARUH KEPEMIMPINAN TRANSFORMASIONAL DAN MOTIVASI BERPRESTASI TERHADAP KOMITMEN ORGANISASIONAL GURU DI SMP NEGERI 1 SELOPURO KABUPATEN BLITAR

2018 ◽  
Vol 10 (2) ◽  
pp. 1-11
Author(s):  
Cicik Susana
Keyword(s):  
Transformational Leadership ◽  
Organizational Commitment ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Achievement Motivation ◽  
Significant Influence ◽  
Questionnaire Survey ◽  
Analytical Tool ◽  
Survey Method

This research is to know the influence of transformational leadership and achievement motivation toward organizational commitment of teacher in SMPN 1 Selopuro Blitar Regency. The research was conducted by questionnaire survey method at the teacher at SMPN 1 Selopuro Blitar Regency. Data collection was done by distributing questionnaires to respondents. Questionnaires were distributed to 43 teachers at SMPN 1 Selopuro Blitar. The analytical tool used is Multiple Linear Regression using 16.00 for windows application. The results showed that: 1) There was no positive and significant influence of transformational leadership on organizational commitment of teachers in SMPN 1 Selopuro Blitar Regency; 2) There is a positive and significant influence of achievement motivation on organizational commitment of teachers in SMPN1 Selopuro Blitar Regency; and 3) There is a positive and significant influence of transformational leadership and achievement motivation simultaneously to the organizational commitment of teachers in SMPN1 Selopuro Blitar Regency.

PENGARUH FASILITAS RUMAH TERHADAP KESEJAHTERAAN MASYARAKAT KABUPATEN KEPULAUAN MENTAWAI

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Feby Mega Illahi ◽  
Ariusni Ariusni
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Home Ownership ◽  
Secondary Data ◽  
Analytical Tool ◽  
Clean Water ◽  
Infrastructure Development ◽  
Mentawai Islands ◽  
Ownership Status ◽  
The People

This study aims to determine: (1) The Effect of Electricity Availability on people's welfare. (2) Effect of Availability of Clean Water on people’s welfare. (3) Effect of Sanitation on people's welfare. (4) Effect of Housing Ownership Status on people's welfare. (5) Effects of Electricity Availability, Availability of Clean Water, Sanitation and Home Ownership Status on people's  welfare. This type of research is descriptive and associative. The type of data used is secondary data, namely 2018 SUSENAS data conducted by the Central Statistics Agency (BPS). The analytical tool used is multiple linear regression analysis.The results of this study indicate that: (1) Electricity Availability has a positive and significant effect on people's welfare. (2) The availability of clean water has a positive and significant effect on people's welfare. (3) Sanitation has a positive and significant effect on people's welfare. (4) House Ownership Status has a negative and not significant effect on people's welfare. (5) Availability of Electricity, Availability of Clean Water, Sanitation and Home Ownership Status has a positive and significant impact on people's  welfare.Based on the results of the study, it is recommended that the Mentawai Islands Regency government focus on infrastructure development especially those related to electricity, clean water and sanitation. This is done so that the welfare of the people in the Mentawai Islands Regency can be improved.

Multiple linear regression as an analytical tool in cephalometric studies.

1997 ◽  
Vol 24 (1) ◽  
pp. 61-66 ◽  
Author(s):  
J M Dibbets ◽  
C A Trotman ◽  
J A McNamara ◽  
L T van der Weele ◽  
J E Janosky
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Analytical Tool

scholarly journals ANALISIS INVESTASI ASING LANGSUNG (FDI) DI NEGARA ASEAN TAHUN 2000-2017

2019 ◽  
Vol 3 (3) ◽  
pp. 397-409
Author(s):  
Futuhatul Barorah ◽  
Nazaruddin Malik ◽  
Zainal Arifin
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Interest Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Direct Investment ◽  
Trade Openness ◽  
Analytical Tool ◽  
Gdp Growth ◽  
Testing Hypotheses

The aim of this research is nalyze foreign direct investment (FDI) from 2000 to 2017. The analytical tool used was multiple linear regression with panel data method by testing hypotheses namely F test, t-test, and Determination Coefficient R2. The software used in the analysis of this study was Eviews 9. The finding of the study denotes that all of influence of GDP growth, Trade Openness, Interest Rate and Inflation gave influence toward on Foreign Direct Invesment with a probability value of 0,0000. While individually, The country of Myanmar has the highest intercept inversely proportional to Malaysia which has the smallest intercept. While individually GDP growth and Trade Openness has a positive and significant effect on Foreugn Direct Invesment, Interest Rate and inflation has a negative and significant effect on Forign Direct Invesment.

scholarly journals The Effect of Compensation and Job Promotion on Employee Job Satisfaction at Pt. Permata Jaga Karya, Denpasar

2019 ◽  
Vol 10 (12) ◽  
pp. 21683-21692
Author(s):  
Sapta Rini Widyawati ◽  
I Dewa Made Adnyana ◽  
I Nyoman Mustika
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analytical Tool ◽  
Employee Job Satisfaction ◽  
Job Promotion

This study aims to determine the effect of compensation and job promotions on employee job satisfaction at PT. Permata Jaga Karya, Denpasar. The number of research samples were 84 employees. Determination of the sample using saturated or census means that all employees are respondents. The analytical tool used is multiple linear regression analysis with the help of SPSS version 23.0. The results of the analysis showed that compensation had a significant positive and significant effect on employee job satisfaction at PT. Permata Jaga Karya, Denpasar, this is evidenced by the value of the coefficient B for X1 is positive and the significant value of t (X1) <0.05. Similarly, promotion has a significant positive and significant effect on employee job satisfaction at PT. Permata Jaga Karya, Denpasar, this is evidenced by the value of the coefficient B X2 is positive and the significant value of t (X2) <0.05.

scholarly journals The Effect of Advertising, Perception and Consumer Knowledge on Purchasing Products

2021 ◽  
Vol 11 ◽  
Author(s):  
Wahyu Annas ◽  
Misti Hariasih
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analytical Tool ◽  
Consumer Knowledge ◽  
Validity And Reliability ◽  
Validity Test

This study aims to determine the Effect of advertising, perceptions and consumer knowledge on product purchases at PT. Javas Tripta Mandala. The analytical tool used is tabulating the questionnaire, collecting data in the form of validity and reliability tests. The hypothesis in this study is the Effect of advertising, perceptions and knowledge of consumers on product purchases to test this hypothesis used multiple linear regression analysis tools.The results of the research instrument obtained based on the validity test showed that all questions in the questionnaire were declared valid. To test the reliability of all variables, the Cronbach’s Alpha value is obtained> 0.6, so it is declared reliable. Hypothesis testing based on the F test, t test and Adjusted R2 shows that there is a significant effect of advertising, perceptions and consumer knowledge on product purchases.

scholarly journals PENGARUH KUALITAS PELAYANAN, CITRA MEREK DAN KEPUASAN PELANGGAN TERHADAP LOYALITAS PELANGGAN LOGISTIK PADA PT. TIKI JALUR NUGRAHA EKAKURIR (JNE) DI KOTA GRESIK

MANAJERIAL ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 41
Author(s):  
RETNO AYU MULFI
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Literature Review ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Loyalty ◽  
Brand Image ◽  
Sampling Technique ◽  
The City

This study aims to examine the effect of Service Quality, Brand Image and Customer Satisfaction on Logistics Customer Loyalty at PT. Tiki Track Nugraha Ekakurir (JNE) in the City of Gresik. Then a literature review and the preparation of hypotheses were carried out, data were also obtained from questionnaires on 96 Gresik people who had used PT. Tiki Nugraha Ekakurir Line (JNE) using nonprobability sampling technique. Testing is done using multiple linear regression. The results of the analysis show that service quality significantly affects customer loyalty, brand image significantly influences customer loyalty and customer satisfaction significantly influences customer loyalty.

scholarly journals Using multiple linear regression to disaggregate electricity consumption for cluster-metered academic buildings

2021 ◽  
Author(s):  
Nicholas So
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Electricity Consumption ◽  
Average Error ◽  
University Of Toronto ◽  
Ideal Tool ◽  
Building Characteristics ◽  
Academic Buildings ◽  
The University ◽  
Selection Of

Ryerson University does not have a means to gauge electricity consumption for half of their campus buildings. The installation of utility meters is outside of the University’s budget, a situation that may be similar across other academic institutions. A multiple linear regression approach to estimating consumption for academic buildings is an ideal tool that balances performance and utility. Using 80 buildings from Ryerson University and the University of Toronto, significant building characteristics were identified (from a selection of 18 variables) that show a strong linear relationship with electricity consumption. Four equations were created to represent the diversity in size of academic buildings. Tested using cross-validation, the coefficient of variation of the RMSE for all models was 33%, with a range of error between 20% and 43%. The models were highly successful at modeling electricity consumption at Ryerson University with an average error of 14.8% for five building clusters. Using metered data from each cluster, raw estimates for individual buildings were adjusted to improve accuracy.

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