scholarly journals Model Hubungan antara Angka Korban Kecelakaan Lalu Lintas dan Faktor Penyebab Kecelakaan pada Jalan Tol Purbaleunyi. (Hal. 124-132)

2019 ◽  
Vol 5 (2) ◽  
pp. 124
Author(s):  
Virlia Dian Fridayanti ◽  
Dwi Prasetyanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Traffic Accidents ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Correlation Test ◽  
Independent Variables ◽  
Linearity Test ◽  
The Relationship

ABSTRAKKecelakaan lalu lintas merupakan hasil dari kombinasi faktor-faktor penyebab  yang yang terdiri dari faktor manusia, kendaraan, jalan, dan lingkungan. Penelitian ini bertujuan untuk mengetahui variabel dominan dari beberapa faktor penyebab kecelakaan dengan memodelkan hubungan antara angka korban kecelakaan lalu lintas dengan variabel faktor penyebab kecelakaan di Jalan Tol Purbaleunyi pada tahun 2015–2017. Data yang digunakan pada penelitian ini berupa data sekunder yang terdiri dari data jumlah korban dan jumlah kecelakaan yang diakibatkan oleh faktor-faktor penyebab kecelakaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode analisis regresi linear berganda dengan melakukan uji linearitas dan uji korelasi terlebih dahulu. Uji linearitas digunakan untuk memastikan apakah data yang akan dianalisis dapat menggunakan analisis regresi linear atau tidak, sedangkan uji korelasi digunakan untuk menentukan hubungan antara variabel baik antara sesama variabel bebas maupun antara variabel peubah bebas dengan variabel peubah tidak bebas. Berdasarkan hasil penelitian yang dilakukan pada tahun 2015–2017, variabel utama faktor kecelakaan diakibatkan oleh faktor manusia dan faktor kendaraan yaitu variabel mengantuk ( ) dan rem blong ( ).Kata kunci: Kecelakaan lalu lintas, faktor penyebab kecelakaan lalu lintas, regresi linear berganda. ABSTRACTTraffic accidents are the result of a combination of factors causes which consists of the human factor, vehicle, road, and environment. This study aims to determine the majority of the accidents variable of several factors that cause accidents by modeling the relationship between the numbers of traffic accident victims with variable factors causing the accident on Highway Purbaleunyi in 2015–2017. The data used in this study of secondary data consists of data on the number of victims and the number of accidents caused by factors that cause accidents. The method used in this research is multiple linear regression analysis to test the linearity and correlation test beforehand. Linearity test used to determine whether the data will be analyzed using linear regression analysis or not, whereas the correlation test was used to determine the relationship between both variables among the independent variables and the independent variables with the variable variable variable is not free. Based on the results of research conducted in 2015–2017, the main variable of the accident factor is caused by human factors and vehicle factors, which are variable drowsiness ( ) and brake failure ( ).Keywords: Traffic accidents, the causes of traffic accidents, multiple linear regression.

scholarly journals Pengaruh Harga dan Promosi Terhadap Keputusan Pembelian Helm Merek GM Pada Mahasiswa/i Sekolah Tinggi Ilmu Ekonomi Haji Agus Salim Bukittinggi

2020 ◽  
Vol 1 (2) ◽  
pp. 42-52
Author(s):  
Hariman Syaleh ◽  
Rohimah Nur Nasution
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Purchasing Decisions ◽  
Independent Variables ◽  
Dependent Variables ◽  
Positive Effect

This research is motivated by many types and brands of helmets offered to consumers in the market. So that each helmet company must create a strategy to maintain and achieve a higher market share. The problem in this study is "How is the influence of price, quality and promotion of the decision to purchase GM brand helmets for STIE HAS Bukittinggi students. The data used are primary and secondary data. The research data was obtained through questionnaires to 68 respondents. The variables used were dependent variables, namely purchasing decision (Y) and independent variables namely price (X1), and promotion (X2). The method of analysis used by the writer in this research is multiple linear regression analysis. The results of multiple linear regression analysis obtained the following equation: Y = 15,070 + 0,222 X1 + 0.782 X2 obtained that prices and promotions have a positive effect on purchasing decisions. The results of the t test and f test are partially and simultaneously have a significant effect on purchasing decisions.

scholarly journals The Association Between the Severity of the Mandibular Inferior Cortex Porosity and the Number of Remaining Teeth in Elderly Indonesian People

2019 ◽  
Author(s):  
Bramma Kiswanjaya ◽  
Hanna H Bachtiar-Iskandar
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Nonparametric Tests ◽  
Cross Sectional ◽  
Panoramic Radiographs ◽  
The Relationship

Abstract Background The purpose of this study was to investigate the association between the severity of the mandibular inferior cortex (MIC) porosity and the number of remaining teeth in elderly Indonesian people.Materials and methods This cross-sectional study was conducted by measuring secondary data on panoramic digital examinations of patients aged 50 years and older. A total of 428 panoramic radiographs were measured from January 2017 to December 2018. The number of remaining teeth (including the third molars) was evaluated. Mandibular porosity was measured by using panoramic radiographs, according to the MIC classification: normal; mildly to moderately eroded; and severely eroded cortex.Statistical analysis used Data analysis was done using Mann-Whitney nonparametric tests to verify the relationship between the MIC classification and the number of remaining teeth. Multiple linear regression analysis was performed to investigate the relationship between confounding variables.Results A significant correlation was found between MIC classification and the number of remaining teeth on the Mann-Whitney test (P < 0.001). Multiple linear regression analysis showed that MIC classification was significantly associated with the value of the number of remaining teeth after controlling for gender and age (β = -0.37, R2 = 0.22, P < 0.001). Subjects with MIC class 3 were 7.14 times more likely to lose their teeth than subjects with MIC class 1 or class 2.Conclusions Our study demonstrated that there was an association between the severity of mandibular inferior cortex porosity and the number of remaining teeth in elderly Indonesian people.

scholarly journals Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Muscle Quality ◽  
Older Individuals ◽  
Stepwise Multiple Linear Regression ◽  
Independent Variables

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.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals Pengaruh Produk Domestik Regional Bruto dan Jumlah Penduduk Terhadap Pendapatan Asli Daerah Kabupaten Mimika

2021 ◽  
Vol 1 (1) ◽  
pp. 40-53
Author(s):  
Mawar Mawar ◽  
Siska Sroyer
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Asset Management ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Management Agency ◽  
Insignificant Effect

This study aims to analyze the significance of the influence of GDP and Population partially on the Original Income of Mimika Regency, and to analyze the significance of the influence of GDP and Population simultaneously on the Original Income of Mimika Regency. The data used in this study are secondary data obtained from BPS Mimika Regency and Mimika District Financial and Asset Management Agency. To analyze the data used multiple linear regression analysis. The results showed that: (a) GDP had a negative and insignificant effect on the Original Revenue of Mimika Regency; (b) The number of residents has a positive and significant effect on the Original Income of Mimika Regency; (c) GDP and Population simultaneously have a significant impact on the Original Revenue of Mimika Regency.

scholarly journals The Effect of Phase on Paper Thickness Optimization in the Paper Recycling Process Using Recycling Machine

2020 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fauzhia Rahmasari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Multiple Linear Regression Model ◽  
Thickness Optimization ◽  
Recycling Process ◽  
Paper Recycling ◽  
Independent Variables ◽  
The Relationship

AbstractEfforts to manage the recycling of paper waste into new paper have been carried out in recent times. It takes a tool or machine that is able to effectively and efficiently recycle used paper into new paper. There are several factors that affect the effectiveness of paper recycling machines, one of which is the paper thickness. One method that can be used to analyze the factors that influence paper thickness in the paper production process using a paper recycling machine is regression analysis. Regression analysis is data analysis techniques in statistics that is used to examine the relationship between several independent variables and dependent variable. However, if we want to examine the relationship or effect of two or more independent variables on a dependent variable, the regression model used is a multiple linear regression model. This study purposes are to analyze the factors that influence paper thickness using a paper recycling machine using multiple linear regression and to inform the modeling about that. The results showed that the factors that affect the paper thickness optimization are destruction and press phase. AbstractUpaya pengelolaan daur ulang sampah kertas menjadi kertas baru telah banyak dilakukan pada jaman sekarang. Dibutuhkan suatu alat atau mesin yang mampu secara efektif dan efisien dalam mendaur ulang kertas bekas menjadi kertas baru. Terdapat beberapa faktor yang mempengaruhi tingkat efektifitas mesin daur ulang kertas diantaranya adalah ketebalan kertas. Salah satu metode yang dapat digunakan untuk menganalisis faktor-faktor yang mempengaruhi ketebalan kertas pada proses produksi kertas menggunakan mesin daur ulang kertas adalah analisis regresi. Analisis regresi merupakan teknik analisis data dalam statistika yang digunakan untuk mengkaji hubungan antara beberapa variabel bebas dengan variabel tidak bebas. Namun, jika ingin mengkaji hubungan atau pengaruh dua atau lebih variabel bebas terhadap satu variabel tidak bebas, maka model regresi yang digunakan adalah model regresi linier berganda. Tujuan dalam penelitian ini yaitu menganalisis faktor-faktor yang mempengaruhi ketebalan kertas menggunakan mesin daur ulang kertas menggunakan regresi linier berganda serta memberikan informasi pemodelan mengenai hal tersebut. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi keoptimalan ketebalan kertas adalah fase penghancuran dan pemadatan kertas

scholarly journals What Determines Murabahah Margin Income? Evidence from Islamic Commercial Banks in Indonesia

2021 ◽  
Vol 7 (1) ◽  
pp. 22
Author(s):  
Ananda Puteri Wahyuni ◽  
Ratna Mulyany ◽  
Zata Hulwani Zuhri
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Central Bank ◽  
Multiple Linear Regression ◽  
Commercial Banks ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Operating Income ◽  
Independent Variables

This study aims to examine factors that influence Murabahah margin income. Spefically it investigates the effect of the Central Bank of Indonesia Rate (BI Rate), Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings on Murabahah margin income at Islamic Commercial Banks in Indonesia. The method used in this study is quantitative by using the multiple linear regression analysis to test the variables. 12 Islamic Commercial Banks were selected as the sample using a purposive sampling method. With 60 data observations for 5 years, the findings indicate that all the independent variables simultaneously affect the dependent variable. Partially, BI Rate does not affect Murabahah margin income, while in contrast, Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings affect the Murabahah margin income.

scholarly journals INTERAKSI KINERJA KEUANGAN PERBANKAN DAN TATA KELOLA DALAM MENINGKATKAN RETURN SAHAM

SIMAK ◽  
2021 ◽  
Vol 19 (01) ◽  
pp. 69-100
Author(s):  
Ina Marice ◽  
Fransiskus E. Daromes ◽  
Suwandi Ng
Keyword(s):  
Corporate Governance ◽  
Regression Analysis ◽  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Stock Returns ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Relationship

This research was conducted to investigate the effect of banking performance on stock returns as moderated by corporate governance. The population used in the study were all banks listed on the IDX for the period 2015-2019. The sample in this study were 30 banks selected using purposive sampling method. The analysis was carried out with the help of SPSS 25 and hypothesis testing using multiple linear regression analysis and moderating regression analysis (MRA). The results of this study indicate that banking performance in the form of LDR, CAR, and ROA partially and simultaneously affects stock returns, NPL partially and simultaneously has no effect on stock returns, governance is able to moderate the relationship between LDR, CAR, and ROA on stock returns, but unable to moderate the relationship between NPL and stock returns.

scholarly journals Faktor Yang Mempengaruhi Kenaikan dan Penuruna Sisa Hasil Usaha (SHU) Koperasi Syariah

2017 ◽  
Vol 4 (12) ◽  
pp. 937
Author(s):  
Farokhah Muzayinatun Niswah ◽  
Dina Fitrisia Septiarini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Balance Sheet ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Analysis Techniques

The pupose of this research is to determines the effects of own equity, assets and financing income as the factors of increase and decrease in cooperative surplus on KJKS Ben Iman Lamongan.The approach used in this study is the quantitative approach. Data analysis techniques used in this research is multiple linear regression analysis. The sampling method used in this study is purposive sampling, the sample is KJKS Ben Iman Lamongan. The author uses secondary data from monthly reports of balance sheet and the calculation surplus of operations of the period January 2014 to December 2016.The results of this study are own equity and assets partially no significant effect on the cooperative surplus distribution, financing income partially significant affect the cooperative surplus distribution and own equity, assets and financing income simultaneously affect the cooperative surplus distribution amounted to 93.13% while the rest 6,87% determined by othervariables.

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