Pengaruh Motivasi Kerja dan Budaya Kerja Terhadap Produktivitas Kerja Karyawan di Kebun Huta Padang PT. Perkebunan Nusantara III (PERSERO) Kabupaten Asahan Sumatera Utara

2020 ◽  
Vol 2 (2) ◽  
pp. 167-180
Author(s):  
Luli Achmad Gozali ◽  
Yusniar Lubis ◽  
Syaifuddin Syaifuddin
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Research Method ◽  
Sampling Method ◽  
Quantitative Approach ◽  
Stratified Random Sampling ◽  
Direct Influence ◽  
Dominant Influence

This study is aimed to determine and analyze the effect of the implementation of motivation and culture on the employees productivity at Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. This research method uses a quantitative approach, the type of research is a survey. The sample was determined by stratified random sampling method, 95 people. The data collection through questionnaires. Data were analyzed using multiple linear regression. The results showed that partially and simultaneously, the implementation of motivation and culture had a positive and significant effect on the employess productivity at Huta padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera. The determination coefficient value of 0.882, indicates that the influence of the implementation of motivation and culture on the employess productivity of Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera is 88.2%. The culture has more dominant influence on the employees produktivity at  Huta Padang estate of PT. Perkebunan Nusantara III (Persero) Asahan Regency North Sumatera, with a direct influence of 73,2%. 

Faktor-Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Program Studi Kebidanan STIKES Muhammadiyah Ciamis Tahun 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decisionof the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

scholarly journals DAMPAK DISIPLIN KERJA TERHADAP KEMAMPUAN KINERJA APARATUR NAGARI DALAM PENGELOLAAN KEUANGAN NAGARI DI KECAMATAN BANUHAMPU DAN SUNGAI PUA

2019 ◽  
Vol 3 (1) ◽  
pp. 79
Author(s):  
Rahmi Yanti
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Financial Management ◽  
Random Sampling ◽  
Sampling Technique ◽  
Stratified Random Sampling ◽  
Regression Test ◽  
Performance Capability ◽  
The Impact

Impact of Work Discipline on the Performance Capability of the Nagari Apparatus in Managing Financial Nagari in Banuhampu and Sungai Pua Districts. The purpose of this study is to analyze the impact of work discipline on the performance capabilities of the nagari apparatus in nagari financial management in Banuhampu and Sungai Pua Districts. The population used in this study were all nagari apparatus in Banuhampu and Sungai Pua Subdistricts of 80 people, while the samples used as many as 75 respondents were determined by the Slovin formula using the proportionate stratified random sampling technique. Data collection in this study was conducted using a questionnaire with a Likert scale measurement and analyzed using multiple linear regression. The results of this study indicate that the work discipline of the nagari apparatus is relatively high while the performance of the nagari apparatus is still low and the results of the regression test explain that work discipline has an impact on the performance capabilities of the nagari apparatus in nagari financial management in Banuhampu and Sungai Pua Districts.

scholarly journals Effects of Work Discipline, Work Motivation and Compensation on Employees Performance at Sekretariat Direktorat Jenderal Perhubungan Udara

2020 ◽  
Vol 5 (6) ◽  
pp. 605-609
Author(s):  
Frista Dearetha Marasabessy Marasabessy ◽  
Singmin Johanes Lo
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Work Motivation ◽  
Stratified Random Sampling ◽  
Positive Effects

This study aims to analyse the effects of work discipline, work motivation, and compensation on employees performance. The objects of this study are employees working at the Sekretariat Direktorat Jenderal Perhubungan Udara. The populations were 333 employees. The sample of 77 respondents was obtained by using Slovin’s formula with 10% error. The sampling method used was proportional stratified random sampling. Data were analysed by using multiple linear regression. The results show that work discipline, work motivation, and compensation have significant and positive effects to employees performance. Work motivation has the biggest influence on employees performance.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN MAHASISWA MEMILIH PROGRAM STUDI KEBIDANAN STIKES MUHAMMADIYAH CIAMIS TAHUN 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

scholarly journals PENGARUH MOTIVASI DAN PERSEPSI TENTANG PEMBELAJARAN MATA DIKLAT KOMPETENSI KEJURUAN APK TERHADAP HASIL BELAJAR SISWA DI SMK NEGERI 1 PAMEKASAN

2017 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Ruri Nurul Aeni Wulandari
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Student Learning ◽  
Random Sampling ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Quantitative Approach ◽  
Academic Year ◽  
Year 2013

The purpose of this research was to analyze the influence of motivation and perceptions about vocational competency lessons on student learning results in SMKN 1 Pamekasan. The population consists of 119 students of class XI SMKN 1 Pamekasan academic year 2013-2014. 92 students as sample are taken by simple random sampling. Technique of data collection using questionnaires and documentation. This research used the quantitative approach and data were be analyzed using multiple linear regression. The results show that the partially and simultaneously motivation and perceptions have a significant effect on student learning results in SMKN 1 Pamekasan. greatest Influence is perceptions on student learning by 37%

scholarly journals PENGARUH TENAGA KERJA, TEKNOLOGI DAN PENGALAMAN BERTANI TERHADAP PRODUKTIVITAS PETANI DENGAN PELATIHAN SEBAGAI VARIABEL MODERATING

2019 ◽  
pp. 1
Author(s):  
I Gusti Ngurah Made Sugiantara ◽  
Made Suyana Utama
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Stratified Random Sampling ◽  
Moderating Variables ◽  
And Training

Abstract: Effect of Labor, Technology and Farming Experience on Productivity of Farmerswith Training as Moderating Variables. This study aims to analyze the effect of simultaneousand partial labor, technology, farming experience, training and interaction of labor andtraining on the productivity of asparagus farmers in the District of Badung. The data used areprimary data, the population is all asparagus farmers. The number of samples was 93 farmers,the sample was determined by the proportionate stratified random sampling method. The dataanalysis technique is multiple linear regression with moderating variables. Based on the resultsof the analysis found simultaneously the variables of labor, technology, farming experience,training and interaction of labor and training affect the productivity of farmers. Partially thevariables of labor, technology and farming experience have a positive and significant effect onfarmer productivity, while partially training does not have a positive and significant effect onfarmer productivity. Training is a moderating variable for the effect of labor on the productivityof asparagus farmers in Petang District, Badung Regency.

scholarly journals The Analysis of Factors that Affecting the Amount of Free- Range Chicken Meat’s Consumption in Langkat Regency

2019 ◽  
Vol 6 (3) ◽  
Author(s):  
S Aisyah ◽  
I Sembiring ◽  
Hasnudi ◽  
Yunilas ◽  
E Mirwandhono
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Random Sampling ◽  
Sampling Method ◽  
Secondary Data ◽  
Chicken Meat ◽  
Primary Data ◽  
Stratified Random Sampling ◽  
Free Range ◽  
Price Increases

Chicken meat is one of the livestock commodities that can meet the protein needs of the community, but there are constraints on the price side. The price of free-range chicken meat tends to fluctuate due to production and demand imbalances and has an impact on price increases. Therefore, there needs to be control so that price increases that occur in free-range chicken meat do not jump sharply The purpose of the study was to determine the factors that influence the amount of freerange chicken meat’s consumption in Langkat Regency. The study was conducted in June - August 2018. The method that used in sampling was the proportionate stratified random sampling method and used the Slovin formula. Primary data collection was carried out by interview techniques using questionnaires to respondents and secondary data collection was obtained from the agencies and agencies assembled and then analyzed with Multiple Linear Regression using SPSS 22 application. The results showed the amount of free-range chicken meat’s consumption in Langkat Regency was influenced partially by income and the number of family members with R² = 0.61.

scholarly journals The Effect of Knowledge, Behavior, and Spiritual Quotient on Personal Financial Management

2021 ◽  
Vol 7 (4) ◽  
pp. 63-70
Author(s):  
Sri Zaniarti ◽  
M. Sienly Veronica ◽  
Raden Arvi Arsytania
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Financial Management ◽  
Random Sampling ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Stratified Random Sampling ◽  
Christian University

This study aims to determine the effect of knowledge, behavior, and spiritual quotient on personal financial management. A total of 194 married employees comprised of non-lecturers and permanent lecturers from Maranatha Christian University were selected as participants using probability sampling with a stratified random sampling method. Data were analyzed using multiple linear regression analysis. The results showed that knowledge, behavior, and spiritual quotient partially affect personal financial management.

scholarly journals Generating a Baseline Map of Surface Fuel Loading Using Stratified Random Sampling Inventory Data through Cokriging and Multiple Linear Regression Methods

2021 ◽  
Vol 13 (8) ◽  
pp. 1561
Author(s):  
Chinsu Lin ◽  
Siao-En Ma ◽  
Li-Ping Huang ◽  
Chung-I Chen ◽  
Pei-Ting Lin ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Fuel Load ◽  
Estimation Accuracy ◽  
Slope Aspect ◽  
Stratified Random Sampling ◽  
Inventory Data ◽  
Fuel Loading ◽  
Regression Methods

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.

scholarly journals Investigating the Relationship between Professionalism and (Technical, Human, and Perceptual) Skills of Managers in Poly Akril Company of Iran from Experts’ Viewpoint

2016 ◽  
Vol 6 (2) ◽  
pp. 117
Author(s):  
Marzie Ghanbari ◽  
Reza Hoveida ◽  
Seyed Ali Siadat
Keyword(s):  
Data Collection ◽  
Random Sampling ◽  
Sampling Method ◽  
Regression Coefficient ◽  
Reliability Coefficient ◽  
Descriptive Statistics ◽  
Stratified Random Sampling ◽  
Perceptual Skills ◽  
The Relationship ◽  
Test Correlation

The objective of the present study is to investigate the relationship between managers’ professionalism and (technical, human, and perceptual) skills in managers of Iran Poly Akril Company. The research is an applied one in terms of objectives, and a descriptive-correlational in terms of method. The population includes all experts working in the company in 2012 as 240 individuals among who 144 participants were selected using the stratified random sampling method proportionate to the population size as the sample size. The data collection instruments were two researcher-made questionnaires of Managers’ skills containing 22 items and with the reliability coefficient as 0.96, and Professionalism containing 28 items and the reliability coefficient as 0.95. Their validity was investigated and confirmed by professors and experts of management. Analyzing data was conducted at the two level of descriptive statistics (frequency, mean, SD, and presentation of tables and charts) and inferential statistics (one sample t-test, correlation coefficient, regression coefficient, ANOVA, and F-test).

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