scholarly journals A milestone in prediction of the coronary artery dimensions from the multiple linear regression equation

2019 ◽  
Vol 71 (4) ◽  
pp. 328-333 ◽  
Author(s):  
A. Divia Paul ◽  
S.M. Ashraf ◽  
J. Ezhilan ◽  
S. Vijayakumar ◽  
Anuj Kapadiya
Keyword(s):  
Coronary Artery ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Multiple Linear Regression Equation

scholarly journals FAKTOR YANG MEMPENGARUHI KESELAMATAN BERKENDARA MOBIL DIRUAS JALAN TOL SEMARANG-BAWEN PROPINSI JAWA TENGAH

2020 ◽  
Author(s):  
Andar Sri Sumantri ◽  
Irfan Misbahudin
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Road Safety ◽  
Driving Behavior ◽  
Regression Equation ◽  
Driving Safety ◽  
Linear Regression Equation ◽  
The Road ◽  
Multiple Linear Regression Equation ◽  
Road Condition

<p>Driving safety is influenced by various such as road conditions vehicle condition, driving behavior, knowledge of driving. All four have an important role in influencing the safety of driving. The purpose of this study was to determine whether there is influence of road conditions, vehicle conditions,driving behavior, knowledge of driving on roads Toll-Bawen Semarang Central Java Province either partially or simultaneously.<br />Results of statistical analysis tools SPSS (Statistical Product And Service Solutions) Ver. 22.0 multiple linear regression equation Y= 2,568 +0,268 X1 + 0,266 X2 + 0,216 X3 +0,148 X4 ( The results of multiple linear regression equation showed that there were significant positive influence on Keselamatan drive the road condition (t = 3,229&gt; t tabel = 1,9853) the condition of vehicle on road safety (t =2,624&gt; t tabel = 1,9853 the driving behavior of the safety driving (t = 3,037 &gt; t tabel = 1,9853, drive to the road safety knowledge ( t = 2,139 &gt; table = 1,9853) individually and simultaneously influence, vehicle conditions perilaku driving, and driving knowledge together –have the same effect as 26,529 &gt; F Tabel 2,46. The fourth influence is very strong research variable with the coefficient of determination (R2) were obtained for 50,8 of the safety of driving and 49,2 % are influenced by variable that are not detectedin this study</p><p><strong>Keywords : Road condition, Vehicle condition, Driving behavior, Knowledge of driving, and Driving safety.</strong></p><p> </p><p>Keselamatan berkendara dipengaruhi oleh berbagai factor diantaranya adalah kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara. Tujuan dari penelitian ini adalah untuk mengetahui ada tidaknya pengaruh antara kondisi jalan, kondisi kendaraan, perilaku pengendara, pengetahuan berkendara diruas jalan Tol Semarang Bawen Propinsi Jawa Tengah. Dalam penelitian ini yang menjadi populasi adalah pengguna mobil golongan I dijalan tol semarang bawen provinsi jawa tengah berjumlah 100 orang. Variabel dalam penelitian ini terdiri dari : Variabel bebas yaitu kondisi jalan x1, kondisi kendaraan perilaku berkendara x3 dan pengetahuan berkendar serta variable terikat yaitu keselamatan berkendara. Semua hipotesis yang diajukan dalam penelitian ini diterima, sehingga model tersebut mengambarkan hubungan yang kausalitas yang terjalin antar variable. Hasil analisi dengan alat bantu statistic program spss ver.22 . Dari hasil persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan antar masing-masing variable. Pengaruh keempat variable penelitian sangat kuat dengan nilai koefisien determinasi yang diperoleh sebesar 50,8% terhadap keselamatan berkendara dan 49,2 % dipengaruhi oleh variable yang tidak terdeteksi pada penelitian ini.</p><p><strong>Kata kunci : Kondisi Jalan, Kondisi Kendaraan, Perilaku Berkendara, Pengetahuan berkendara dan Keselamatan berkendara.</strong></p>

scholarly journals Pengaruh Kualitas Pelayanan Dan Harga Tambahan Layanan Terhadap Kepuasan konsumen Pengguna Jasa Kapal Penyebrangan Di PT Trisakti Lautan Mas Cabang Bakauheni, Lampung

2020 ◽  
Vol 10 (1) ◽  
pp. 15-36
Author(s):  
Gugup Tugi Prihatma
Keyword(s):  
Quality Of Service ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Consumer Satisfaction ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Multiple Linear Regression Equation

Customer satisfaction will be formed if it can meet the expectations of the consumer base. Many factors that affect customer satisfaction including the quality of service and price. The problem in this research is (1) How does the quality of service to customer satisfaction, (2) How does the price of the additional services to customer satisfaction, (3) How does the quality of service and price of the additional services simultaneously on customer satisfaction.               The results obtained by multiple linear regression equation Y = 13,122 + 0.159 X1 + 0.145 X2. Quality of service is not positive and not significant to customer satisfaction with the grades were t = 1.459, the price of the additional services are not there is positive and no significant effect on customer satisfaction with the value t = 1.441, quality of service and price of the additional services together no significant effect on consumer satisfaction with the value of F = 3.012. Overall quality of service and price of the additional services affect customer satisfaction by 0.048 or 4.8%, while the remaining 95.2% is influenced by other factors not examined by the author.               Based on this research can be concluded that: 1) there are significant positive and significant correlation between quality of service to customer satisfaction 2) There is no influence of positive and significant correlation between the price of the additional services to customer satisfaction 3) there is positive and significant correlation between quality of service price additional services simultaneously on customer satisfaction.

scholarly journals PENGARUH PERSONAL SELLING DAN IKLAN TERHADAP PROSES KEPUTUSAN MAHASISWA MEMILIH TEMPAT KULIAH

2019 ◽  
Vol 21 (3) ◽  
pp. 213
Author(s):  
Ovilia Nasya Yuswanto ◽  
Anna Wulandari
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Decision Process ◽  
Sampling Method ◽  
Personal Selling ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Positive Direction ◽  
Multiple Linear Regression Equation ◽  
Analysis Technique

This research was conducted to determine the effect of personal selling and advertising on the decision process of students choosing where to study. The sample of this study was 78 students in the Gunung Puteri region, Bogor using the accidental sampling method. This research was conducted by distributing questionnaires to students as respondents. The analysis technique used is multiple linear regression. The study produces a model of multiple linear regression equation Y = 11,068 + 0,101 X1 + 0,607 X2 which is feasible to explain the effect of personal selling and advertising on the decision of students choosing a college. Personal Selling has no influence on the student's decision to choose where to study. Advertising has an influence on the decision process of students to choose a place of study in a positive direction. Keywords: Personal Selling, Advertising, Decision process. Penelitian ini dilakukan untuk mengetahui pengaruh personal selling dan iklan terhadap proses keputusan mahasiswa memilih tempat kuliah. Sampel penelitian ini adalah 78 mahasiswa di wilayah Gunung Puteri, Bogor dengan metode accidental sampling. Penelitian ini dilakukan dengan cara menyebarkan kuesioner kepada mahasiswa sebagai responden. Teknik analisis yang digunakan adalah regresi linier ganda. Penelitian menghasilkan model persamaan regresi linier ganda Y = 11.068 + 0,101 X1 + 0,607 X2 yang layak untuk menjelaskan pengaruh personal selling dan iklan terhadap keputusan mahasiswa memilih kuliah. Personal Selling tidak memiliki pengaruh terhadap keputusan mahasiswa memilih tempat kuliah. Iklan memiliki pengaruh terhadap proses keputusan mahasiswa memilih tempat kuliah dengan arah positif.Kata kunci:Personal Selling, Iklan, Proses Keputusan

scholarly journals Pre Clearance Analysis on Dwelling Time for Imported Container (Case Study: Boom Baru Port)

2020 ◽  
Vol 5 (7) ◽  
pp. 595-600
Author(s):  
Aulia Safira ◽  
Erika Buchari ◽  
Edi Kadarsah
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Equation Model ◽  
Study Data ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Clearance Time ◽  
Preparation Time ◽  
Dwelling Time

Dwelling time is one of many problems that happens in Boom Baru Port. Dwelling time itself consists of pre-clearance, customs clearance, and postclearance stages. One of the causes of high dwelling time is in the pre-clearance stage due to the length of time for obtaining a product permit, especially for imported commodities. The reasons for the length of time for obtaining this permit include the process of obtaining permits for prohibited and restricted goods, the process of quarantine, preparation of documents. In this study data were acquired through distributing questionnaires to forwarding companies. The analysis is done by entering the variables that has an effect toward the preclearance time at the Boom Baru Port so an equation model that can predict the length of pre-clearance time will be found. After data were analyzed using multiple linear regression, equation Y= 1,384 + 0,380 X1 + 1,078 X2 + 0,290 X3 is achieved, which X1 is the Prohibited and Restricted Goods Permit Process, X2 is the Quarantine Process, dan X3 is Documents Preparation Time.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN KONSUMEN DALAM MEMBELI MOBIL MITSUBISHI PADA PT. LAUTAN BERLIAN UTAMA MOTOR BENGKULU

2018 ◽  
Vol 1 (1) ◽  
pp. 53
Author(s):  
Hermawati Sulaiman
Keyword(s):  
Quantitative Analysis ◽  
Linear Regression ◽  
Qualitative Analysis ◽  
Multiple Linear Regression ◽  
Likert Scale ◽  
Positive Influence ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Design Quality ◽  
Consumer Decisions

The purpose of this study was to determine whether design, quality and service had an effect on consumer decisions in buying Mitsubishi cars at PT. Lautan Berlian Utama Motor. In this study the methods used are quantitative analysis and qualitative analysis. The technique of sampling this study was used by accidental sampling. To facilitate the measurement of scores from the questionnaire so that the calculation is correct, then each item is given a score based on the Likert scale. From the multiple linear regression equation it was found that design (X1), quality (X2), and service (X3) had a positive influence on consumer decisions so that buying a Mitsubishi car at PT. Ocean of Berlian Utama Motor Bengkulu.

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