PENGARUH LINGKUNGAN ORGANISASI TERHADAP KEPUASAN KERJA DI BPPT

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Djarwadi Djarwadi
Keyword(s):  
Social Sciences ◽  
Job Satisfaction ◽  
Data Processing ◽  
Multiple Regression ◽  
Regression Method ◽  
Organizational Environment ◽  
Backward Elimination ◽  
The Social ◽  
Multiple Regression Method ◽  
Environmental Work

This research will investigate the influence of environmental work to job satisfaction BPPT officer. Research conducted directly by using questioner. Questioner allocated to a number of officer (210 responders) as sample. Questioner consisted of two shares that is organizational environment (environment work by 24 statements) and the job satisfaction (20 statements). Data processing conducted with multiple regression method, and use Statistical Packages for the Social Sciences (SPSS) program. Result of enumeration with backward elimination methods indicated that job satisfaction officer BPPT still be very low. The officer dissatisfy by environmental work is existing in this time. Organizational clarity,commitment, appreciation and spirit of group significant influences job satisfaction. Environmental work in BPPT is very big influences to officer job satisfaction.

scholarly journals Analyzing and Predicating PH value in Nature Rubber Solidification Process Using Multiple Regression Method

2021 ◽  
Vol 1798 (1) ◽  
pp. 012005
Author(s):  
Zhongrui Sun ◽  
Bingbing Wang ◽  
Fan Zhang ◽  
Lusheng Liao ◽  
Weiguo Deng ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Ph Value ◽  
Solidification Process ◽  
Regression Method ◽  
Multiple Regression Method

scholarly journals Predictors Employee Performance In Indonesian Manufacturing Company Using Path Anlysis

2019 ◽  
Vol 15 (2) ◽  
pp. 166-180
Author(s):  
Agustina Ekasari ◽  
Jasanta Peranginangin
Keyword(s):  
Social Sciences ◽  
Job Satisfaction ◽  
Human Resource Management ◽  
Human Resource ◽  
Research Finding ◽  
Employee Performance ◽  
The Body ◽  
Body Of Knowledge ◽  
The Social ◽  
Manufacturing Company

This research aims to find path analysis that influencing emloyee performance in Indonesia manufacturing company. Design of this research is quantitative methode, There is 150 questionaires spreaded to manufacturing company. This research using multivariate anlysis with Statistical Package for the Social Sciences (SPSS). The result of this paper will described the important factors to build employee performance in manufacturing company. This study will strengtened the previous research about employee performance in manufacturing company. This research finding provides conceptual framework job satisfaction and employee performance. there are six hypotheses developed in this study, there are Four accepted hypotheses and two rejected hypotheses. This research will contributed to the body of knowledge, particularly in human resource management science.

scholarly journals Calibration Curves by Means of Multiple Regression Method

1976 ◽  
Vol 92 (1056) ◽  
pp. 79-82
Author(s):  
Toshihiko ABE ◽  
Shin-ichi SUMI ◽  
Norio SANADA ◽  
Teruo SAKURAI ◽  
Osamu ASANO ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Regression Method ◽  
Calibration Curves ◽  
Multiple Regression Method

scholarly journals Analysis of soil radon data in earthquake precursory studies

2014 ◽  
Vol 57 (5) ◽  
Author(s):  
Hari Prasad Jaishi ◽  
Sanjay Singh ◽  
Raghavendra Prasad Tiwari ◽  
Ramesh Chandra Tiwari
Keyword(s):  
Statistical Analysis ◽  
Multiple Regression ◽  
Radon Concentration ◽  
Seismic Activity ◽  
Meteorological Parameters ◽  
Regression Method ◽  
Seismic Zone ◽  
Type Ii ◽  
Soil Radon ◽  
Multiple Regression Method

<p>Soil radon data were recorded at two selected sites along Mat fault in Mizoram (India), which lies in the highest seismic zone in India. The study was carried out during July 2011 to May 2013 using LR-115 Type II films. Precursory changes in radon concentration were observed prior to some earthquakes that occurred around the measuring sites. Positive correlation was found between the measured radon data and the seismic activity in the region. Statistical analysis of the radon data together with the meteorological parameters was done using Multiple Regression Method. Results obtained show that the method employed was useful for removing the effect of meteorological parameters and to identify radon maxima possibly caused by seismic activity.</p>

scholarly journals Probable values of rise and fall off time of solar cycles 23,24, and 25

1996 ◽  
Vol 39 (3) ◽  
Author(s):  
N. Ortiz de Adler ◽  
A. G. Elias
Keyword(s):  
Multiple Regression ◽  
Rise Time ◽  
Regression Method ◽  
Solar Cycles ◽  
Multiple Regression Method ◽  
Recurrence Tendency ◽  
Off Time ◽  
Good Agreement

From an analysis of the rise and fall off time of solar cycles 4 to 22, a recurrence tendency of 7 cycles is observed in the rise time and, apparently, of 9 cycles in the fall off time. The envelope of these times presents a decreasing amplitude of oscillation. According to this behaviour, the rise and fall length of future solar cycles until cycle 25 can be inferred qualitatively. These values are compared with those obtained with a multiple regression method showing a good agreement.

scholarly journals Regional Spillover Effect Terhadap Pertumbuhan Ekonomi Kota Pekanbaru

2021 ◽  
Vol 4 (2) ◽  
pp. 621-634
Author(s):  
M. Irfan Rosyadi ◽  
Sinta Yulyanti
Keyword(s):  
Economic Growth ◽  
Multiple Regression ◽  
Economic Activity ◽  
Quantitative Methods ◽  
Spillover Effect ◽  
Secondary Data ◽  
Regression Method ◽  
Study Results ◽  
Multiple Regression Method ◽  
Spatial Impacts

The spillover effect of economic activity from one area to another is due to the inter-sector linkages, which have implications for economic growth. This study examines and presents empirical evidence on the effects of economic growth in the districts of Siak, Pelalawan, Kampar, Kuantan singingi, and Bengkalis, which have spatial impacts on the economic growth of Pekanbaru City. Through quantitative methods with secondary data from the Regency / City Central Statistics Agency in Riau Province, the data used is the Gross Regional Domestic Product from 2010 to 2019, then analyzed using the Multiple regression method. The study results show that Kampar, Kuantan singingi, Pelalawan, and Siak districts have a significant effect on the economic growth of Pekanbaru City, while Bengkalis does not affect. Not all of the natural resources owned by each district can provide a spillover effect of growth. However, a dominant sector in absorbing labor will provide a spillover effect of economic growth from one region to another. Keyword: Regional Spillover Effect. Economic Growht, Multiple Regression. Pekanbaru

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU KONSUMEN YANG TERDIRI DARI FAKTOR BUDAYA, SOSIAL, KEPRIBADIAN DAN PSIKOLOGI DALAM KEPUTUSAN PEMBELIAN PRODUK MOTOR METIC DI KOTA BANJARMASIN

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Hasan Hasan
Keyword(s):  
Consumer Behavior ◽  
Data Processing ◽  
Psychological Factors ◽  
Regression Method ◽  
Personality Factors ◽  
Purchase Decision ◽  
Purchasing Decisions ◽  
Personality Psychology ◽  
Multiple Regression Method ◽  
Dominant Influence

Abstract: Objectives to be achieved by authors in this study, namely to know and analyze the influence of consumer behavior consisting of cultural, social, personality, and psychological factors of purchasing decisions either simultaneously or partially. Technique of data processing using quantitative by analyzed multiple regression method by using program of SPSS Version 17 for windows with sample counted 100 respondeners of metic motorcycle user in Banjammasin City. The result of hypothesis testing is known that the cultural, social, personality, and psychological factors significantly influence the purchase decision of metic motor products in Banjarmasin city simultaneously or partially. Of the four variables, personality factors have a dominant influence on purchasing decision of metic motor products in Banjarmasin City.Keywords: comsumer behavior, culture, social, personality, psychology, purchasing decisionAbstrak: Tujuan yang hendak dicapai penulis dalam penelitian ini, yaitu untuk mengetahui dan menganalisis pengaruh perilaku konsumen yang terdiri dari faktor budaya, sosial, kepribadian, dan psikologi terhadap keputusan pembelian baik secara simultan maupun parsial. Teknik pengolahan data menggunakan kuantitatif dengan dianalisis metode regresi berganda dengan menggunakan program SPSS Versi 17 for windows dengan sampel sebanyak 100 orang responden para pemakai motor metic di Kota Banjammasin. Hasil pengujian hipotesis diketahui bahwa faktor budaya, sosial, kepribadian, dan psikologi berpengaruh signifikan terhadap keputusan pembelian produk motor metic di Kota Banjarmasin secara simultan maupun parsial. Dari keempat variabel tersebut, faktor kepribadian berpengaruh dominan terhadap keputusan pembelian produk motor metic di Kota Banjarmasin.Kata kunci : perilaku konsumen, budaya, sosial, kepribadian, psikologi, keputusan pembelian

Accuracy of the Multiple-Regression Method for Estimating Population-Density in Strip Transects

1986 ◽  
Vol 13 (2) ◽  
pp. 121 ◽  
Author(s):  
J Hone
Keyword(s):  
Population Density ◽  
Multiple Regression ◽  
Robust Estimation ◽  
Aerial Survey ◽  
Regression Method ◽  
Regression Equations ◽  
Regression Analyses ◽  
True Density ◽  
Balanced Design ◽  
Multiple Regression Method

Two experiments examined the accuracy of the multiple regression method for estimating population density. In experiment I , in a balanced design, an observer counted objectsin simulated strip transects. Multiple regression analyses yielded accurate estimates when true density was low, and overestimated density when true density was high. Regression equations calculated at each level of true density varied from linear to quadratic. A simple polynomial model accurately estimated true density. In experiment 2 an aerial survey of sheep showed that estimated density was highly significantly (P <0.001) different from true density. The results suggest that greater use should be made of established criteria for robust estimation of true density in transect studies.

Sign in / Sign up

Export Citation Format

Share Document