scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI TINGKAT PENGGANGGURANDI PROVINSI SULAWESI UTARA

2017 ◽  
Vol 13 (1A) ◽  
pp. 55
Author(s):  
Arfan ., Poyoh ◽  
Gene H. M. Kapantow ◽  
Juliana R. Mandei
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Least Square Method ◽  
Least Square ◽  
Gdp Growth ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
North Sulawesi

The study aims to analyze the factors - factors affecting the level of unemployment in theprovince of North Sulawesi. These factors include wages, inflation and GDP growth. This study usesmultiple linear regression analysis with Ordinary Least Square method (OLS) was performed using14 years data from 2001 to 2014. The results showed wage variables significantly influence theunemployment rate in North Sulawesi province with probability 0.0104, while inflation and levels ofGDP growth does not significantly influence the unemployment rate with respective probabilities0.5619 for Inflation and 0.3791 for GDP growth.Keywords: affecting factors, wages, inflation, GDP growth, unemployment, North Sulawesi Province

scholarly journals PERBANDINGAN TRANSFORMASI BOX-COX DAN REGRESI KUANTIL MEDIAN DALAM MENGATASI HETEROSKEDASTISITAS

2015 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
NI WAYAN YUNI CAHYANI ◽  
I GUSTI AYU MADE SRINADI ◽  
MADE SUSILAWATI
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Quantile Regression ◽  
Linear Regression Analysis ◽  
Least Square ◽  
Power Transformation ◽  
Ordinary Least Square

Ordinary least square (OLS) is a method that can be used to estimate the parameter in linear regression analysis. There are some assumption which should be satisfied on OLS, one of this assumption is homoscedasticity, that is the variance of error is constant. If variance of the error is unequal that so-called heteroscedasticity. The presence heteroscedasticity can cause estimation with OLS becomes inefficient. Therefore, heteroscedasticity shall be overcome. There are some method that can used to overcome heteroscedasticity, two among those are Box-Cox power transformation and median quantile regression. This research compared Box-Cox power transformation and median quantile regression to overcome heteroscedasticity. Applied Box-Cox power transformation on OLS result ????2point are greater, smaller RMSE point and confidencen interval more narrow, therefore can be concluded that applied of Box-Cox power transformation on OLS better of median quantile regression to overcome heteroscedasticity.

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEDAGANG PASAR BANJARSARI KOTA PEKALONGAN PASCA KEBAKARAN

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Nur Elitami Insan ◽  
Arif Pujiyono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Business Location ◽  
Dominant Influence

The income of traders in the Banjarsari Emergency Market Pekalongan is influenced by various factors, one of which is the trader resources (capital, working hours, business length, education, and business location). This study aims to determine the effect of capital, working hours, business length, education, and business location on the income of traders in the Banjarsari Emergency Market in Pekalongan. There as 95 traders of Banjarsari Emergency Market in Pekalongan were taken as samples with purposive sampling and accidental sampling. This study uses multiple linear regression analysis tools with the Ordinary Least Square (OLS) method. The results showed that capital, length of business, and location of business affect the income of traders. While working hours and education have not affected the income of the trader. Capital provides the most dominant influence on income trader

The relationship between adolescents’ nutrition literacy and food habits, and affecting factors

2020 ◽  
pp. 1-12
Author(s):  
Bennur Koca ◽  
Gulcihan Arkan
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Relationship ◽  
Food Habits ◽  
Linear Regression Analysis ◽  
Food Habit ◽  
Affecting Factors ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The Relationship

Abstract Objective: The current study aimed to investigate the relationship between nutrition literacy (NL) and food habits (FH) in adolescents, and the factors affecting the relationship. Design: The study used a cross-sectional design. The data were collected using socio-demographic information forms, the Adolescent Nutrition Literacy Scale (ANLS) and the Adolescent Food Habit Checklist (AFHC). The socio-demographic characteristics of adolescents were analysed using descriptive statistics, and the factors affecting NL and FH were determined using the t test, Mann–Whitney U test and ANOVA. The correlation between ANLS and AFHC scores was tested with correlation analysis, and linear regression analysis was employed to predict the change in the NL of adolescents at the level of FH. Setting: The study was conducted in the city of Izmir in Turkey. Participants: The study consisted of a total of 467 adolescents. Results: There was a statistically significant relationship between NL of adolescents and their gender, education level of the father, grade, BMI values and daily lifestyle behaviours (DLB), as well as between their FH and DLB. There was a positive and significant relationship between ANLS and AFHC. The ANLS and its subscales were found to have a statistically significant effect on AFHC. According to the linear regression analysis, the nutritional habits of adolescents were found to be significantly affected by NL (β = 0·357). Conclusions: As ANLS scores increased, AFHC scores were determined to increase as well. This finding shows that the FH of adolescents have changed positively with increase in their NL.

scholarly journals Faktor-Faktor Mempengaruhi Ketimpangan Wilayah di Provinsi Jawa Timur, Indonesia

2018 ◽  
Vol 33 (1) ◽  
Author(s):  
Fitrah Sari Islami ◽  
Nugroho SBM
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Government Expenditure ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Regional Inequalities ◽  
Index Value

<p align="center"><strong>Abstrak</strong></p><p>Ketimpangan wilayah merupakan salah satu masalah yang umum terjadi di Negara sedang berkembang termasuk di Indonesia. Jawa Timur merupakan provinsi yang nilai ketimpangannya cukup tinggi jika dibandingkan dengan provinsi lain yang berada di Pulau Jawa. Penelitian ini bertujuan untuk 1) mengetahui keadaan ketimpangan di Provinsi Jawa Timur 2) mengetahui faktor-faktor yang mempengaruhi ketimpangan wilayah di Provinsi Jawa Timur.</p><p>Penelitian ini menggunakan 1) Indeks Williamson untuk mengukur ketimpangan wilayah, 2) Analisis regresi linear berganda (<em>Ordinary Least Square</em>) dengan waktu penelitian tahun 2001-2015. Penelitian ini menggunakan software Eviews 9.</p><p>Hasil Penelitian menunjukkan bahwa tingkat ketimpangan wilayah di Provinsi Jawa Timur cenderung meningkat dengan nilai indeks Williamson lebih dari 1. Hasil analisis regresi linear berganda dalam penelitian ini ada tiga variabel yang hasilnya signifikan (α=5%) dan berpengaruh terhadap ketimpangan wilayah yaitu variabel investasi, angkatan kerja dan IPM serta dua variabel yang tidak signifikan yaitu variabel pertumbuhan ekonomi, pengeluaran pemerintah.</p><p><strong> Kata Kunci:</strong> Ketimpangan Wilayah, Indeks Williamson, Jawa Timur</p><p> </p><p align="center"><strong><em>Abstract</em></strong></p><p><em>Regional inequalities are one of the most common issues in developing countries including in Indonesia. East Java is the pro vince with the quiet high  inequalities value compared to the other provinces in Java Island. This study aims to: 1) to calculate the inequality value in East Java Province, 2) to classify the regions in East Java Province using Klassen Typology, 3) to determine factors that affect inequalities value in East Java Province.</em></p><p><em>The methods used in this study were 1) Williamson Index to calculate the inequalities values, 2) Multiple linear regression analysis (Ordinary Least Square) during 2001 – 2015 using Eviews 9 software.</em></p><p><em>The result of the study showed that the level of regional inequalities in East Java Province tends to increase with the Williamson index value more than 1. The result of  multiple linear regression analysis, the variable of </em><em> investment, labor forced and </em><em>HDI were resulted to significant and it affect to the regional inequalities, meanwhile the variable of economic growth, </em><em>and government expenditure</em><em> were insignificant.</em></p><p><em></em><strong><em>Keyword:</em></strong><em> </em><em>inequalities</em><em>, </em><em>Williamson Index</em><em>, </em><em>Klassen Typology</em><em>, East Java</em></p>

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

scholarly journals Analysis of Labor Absorption (Study in Kerupuk Sanjai Small and Medium Enterprises in Kabupaten Lima Puluh Kota)

2019 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Nelvia Iryani ◽  
Syaiful Anwar
Keyword(s):  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Production Value ◽  
Medium Enterprises

Labor is a very important asset in economic activities, but often the number of workers exceeds the available employment capacity, so it is very necessary to analyze the factors that affect employment. This study aims to estimate the relationship between wage, capital, production value to the amount of employment in Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota This type of research is field research and use questioner to 100 respondens . The analytical tool used is multiple linear regression analysis with OLS (Ordinary Least Square) method and data processing using SPSS VR.21 software. The results of the study show that  all independent variabels has a  significant effect on labor absorption in Kerupuk Sanjai SMEs in Kabupaten Limapuluh Kota. capital is the variable that has the most influence in the absorption of labor in the Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota.

scholarly journals Factors Affecting Company's Capability in Performing Integrated Reporting: An Empirical Evidence From Indonesian Companies

2018 ◽  
Vol 7 (2) ◽  
pp. 141
Author(s):  
Putu Sukma Kurniawan ◽  
Made Arie Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Institutional Ownership ◽  
Multiple Linear Regression Analysis ◽  
Managerial Ownership ◽  
Contrast Level ◽  
Integrated Reporting ◽  
Factors Affecting

<p>This study examines the factors that affect the company's capability to perform integrated reporting. The analysis used in testing the hypothesis is multiple linear regression analysis. Results show that company’s size has positive and significant connection and stakeholder’s pressure has negative and significant connection with the company’s capability in performing integrated reporting. In contrast, level of company’s profitability, company’s managerial ownership, and company’s institutional ownership did not have enough connection with company’s capability in performing integrated reporting.</p><p> </p>

Factors Affecting Towards Green Purchase Behavior Among Young Consumers in India

2018 ◽  
pp. 183-210
Author(s):  
Nagendra Kumar Sharma ◽  
Gyaneshwar Singh Kushwaha
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Exploratory Factor Analysis ◽  
Linear Regression Analysis ◽  
Measurement Instrument ◽  
Purchase Behavior ◽  
Green Product ◽  
Factors Affecting ◽  
Young Consumers

The objective of the chapter is to examine the factors that are essential for the green purchase behavior among the young consumers in India. The study consists of 343 young respondents, who were surveyed with the help of structured measurement instrument. The sample has been analyzed with the help of exploratory factor analysis and linear regression analysis. It was found in the study that the awareness towards the green product, attitude towards eco-labeling, and satisfaction via green products are significantly and positively linked to the green purchase behavior, whereas the attitude towards green pricing and ecologically concerned consumers are not associated with the green purchase behavior.

scholarly journals Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

2018 ◽  
Vol 49 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Saurav Dixit
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Reliability Analysis ◽  
Construction Industry ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Research Paper ◽  
Site Productivity ◽  
Factors Affecting ◽  
Construction Productivity

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"

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