scholarly journals Determination of Useful Ranges of Mixing Conditions for Glycerin Fatty Acid Ester by Multiple Regression Analysis

2013 ◽  
Vol 61 (11) ◽  
pp. 1143-1148 ◽  
Author(s):  
Takeaki Uchimoto ◽  
Yasunori Iwao ◽  
Hiroaki Hattori ◽  
Shuji Noguchi ◽  
Shigeru Itai
Keyword(s):  
Regression Analysis ◽  
Fatty Acid ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Fatty Acid Ester ◽  
Acid Ester ◽  
Mixing Conditions

Determination of Meat Quality by Image Processing and Neural Network Techniques

2000 ◽  
Vol 12 (4) ◽  
pp. 474-479
Author(s):  
Kazuhiko Shiranita ◽  
◽  
Kenichiro Hayashi ◽  
Akifumi Otsubo
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Meat Quality ◽  
Distribution Density ◽  
Marbling Score ◽  
Quality Grading

We study the implementation of a meat-quality grading system, using the concept of the marbling score, and image processing, neural network techniques and multiple regression analysis. The marbling score is a measure of the distribution density of fat in the rib-eye region. We identify five features used for grading meat images. For the evaluation of the five features, we propose a method of image binarization using a three-layer neural network developed based on inputs given by a professional grader and a system of meat-quality grading based on the evaluation of three of five features with multiple regression analysis. Experimental results show that the system is effective.

Quantitative Determination of Si, Al, Ti, and Fe in Laterites and Bauxites by X-ray Fluorescence Using a Computer for Correction of Interelement Effects

1979 ◽  
Vol 33 (6) ◽  
pp. 634-637 ◽  
Author(s):  
Hasso Schorin
Keyword(s):  
Regression Analysis ◽  
Quantitative Determination ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
International Standards ◽  
X Ray ◽  
Calibration Curves ◽  
Set Up

A method for the quantitative determination of the major constituents in laterites and bauxites by x-ray fluorescence using fused Na2B4O7 glass discs is presented. The calibration curves were set up employing synthetic mixtures of oxides of Si, Al, Ti, and Fe. The interelement effects were corrected using a multiple regression analysis programed on a PDP 11/45 computer. The precision was determined by preparation and analysis of five synthetic pellets; the accuracy was ascertained by analysis of five international standards.

scholarly journals The Effect of Service Tax Officials, Penalties for Late Payments and Reporting on The Taxpayer Compliance Non-star Hotels

2019 ◽  
Vol 4 (2) ◽  
pp. 234-240
Author(s):  
Ely Kartikaningdyah ◽  
R. Qinanti Nuzurawan
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Technique ◽  
Total Sample ◽  
Primary Data ◽  
Questionnaire Data ◽  
Purposive Sampling

This research conducted to determine the effect of service tax officials, penalties for late-payments and reporting on the taxpayer compliance non-star hotels. This research was conducted at Dinas Pendapatan Kota Batam. Mechanical determination of sample using a purposive sampling technique with a total sample of 116 taxpayers. The type of data used is primary data. Methods of data collection are done by questionnaire. Data using multiple regression analysis with SPSS V.20.0. These results indicate that the service tax officials, penalties for late-payments and reporting have a positive and significant effect on the taxpayer compliance non-star hotels. The limitations in the study are the lack of understanding of respondents to the statements in the questionnaire and caring attitude and seriousness in answering statements. The study also suggested that Dinas Pendapatan Kota Batam provides socialization with both the taxpayer so they better understand the tax penalties and cause sanctions fines on taxpayers.

scholarly journals PENGARUH PENERIMAAN RETRIBUSI DAN PENETAPAN TARIF OBYEK WISATA TERHADAP PENDAPATAN ASLI DAERAH KABUPATEN GUNUNG KIDUL TAHUN 2013-2015

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Sunarto Sunarto ◽  
Reni Dyah Ayu Nur Fatimah
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Technique ◽  
Statistical Test ◽  
P Value ◽  
Local Revenue ◽  
Predetermined Level ◽  
Positive Effect

The purpose of this research is to determine the effect Admission and Determination of Rates Levy Heritage simultaneously and partially on the level of revenue. The population in this research is a report on actual revenues levies, tariffs sights and Local Revenue 2013-2015 period. The sampling technique used purposive sampling technique. The data in this research will be tested using statistical test, classic assumption test, and analyzed using multiple regression analysis. The results showed that Levy Admission and Determination of Rates Heritage simultaneous positive effect on regional revenue. P-value was 0,000. This means shows that the p-value is smaller than a predetermined level of 5%. In t test, it was concluded that the Levies Revenue partially positive effect on regional revenue. Because it is known that p-value

scholarly journals Relations between feces, urine, milk and blood fatty acid contents in cattle

2018 ◽  
Vol 3 (6) ◽  
Author(s):  
Serap Göncü ◽  
Ozgu Anitas
Keyword(s):  
Fatty Acids ◽  
Regression Analysis ◽  
Fatty Acid ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Mammalian Cells ◽  
Metabolic Disorders ◽  
The Body ◽  
Fecal Matter ◽  
Important Place

The various fatty acids found in the circulation, cells and tissues of animals that have an important place in the feeding of animals are important components of cell membranes related to events that occur in a rich source of energy and cells. Since the fatty acids groups having important functions can not be synthesized by the mammalian cells, they must be taken from the outside of the body. Fatty acids detected in blood, feces, milk and urine can be an indicator to diagnose some metabolic disorders. This study was conducted to investigate the correlation between fecal matter, urine, milk and blood fatty acid contents in Holstein cows by multiple regression analysis. As a result, milk, blood, stool and urine fatty acid contents were statistically significantly related to each other (p <0.01).

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN GULA KRISTAL PUTIH DI DAERAH ISTIMEWA YOGYAKARTA

2020 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Ecclisia Sulistyowati ◽  
Tri Wisudawati ◽  
Wahyu Adhi Saputro
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
The Body ◽  
Purchase Decision ◽  
Purposive Sampling ◽  
Quality Product

Sugar serves as a source of energy/calories for the body. The demand for sugar in Region of Yogyakarta has increased along with the increasing population. Consumers have their own criteria for choosing and consuming sugar. This study aims to know and analyze about factors that influence the purchase decision of sugar in DIY. The approach used is descriotive quantitive with a population of sugar consumers who shop at mini markets and super markets in DIY. Determination of sampling using purposive sampling. Respondents numbered as many as 40 people. Data analysis used multiple regression analysis. The results showed that simultaneously of product quality, price, packaging, product and brand guarantees has influence to purchased decision of sugar, but separately the quality, product and brand guarantees has influence, while price and packaging has no influence to purchase decision of sugar in DIY.

scholarly journals Factors That Affect The Financing Volume In The Sharia Commercial Banks

TRIKONOMIKA ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 38
Author(s):  
Maya Indriastuti ◽  
Indri Kartika
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Commercial Banks ◽  
Annual Report ◽  
Third Party ◽  
Operational Performance ◽  
Corporate Policies

The aims of this research are to analyze the effect of the Non Performing Financing (NPF), Financing to Deposit Ratio (FDR), and Third-Party Funds (TPF) to the volume of financing of Sharia Banks in Indonesia. The data used is an annual report from Sharia Commercial Banks in the year of 2014 to 2016, were analyzed by multiple regression analysis. The results of this study indicate that the NPF has a positive insignificant to the volume of financing of Sharia Commercial Banks in Indonesia, FDR and TPF have a positive and significant to the volume of financing of Sharia banks in Indonesia. The implications of this research are for Sharia Commercial Banks to be able to consider the determination of corporate policies and improving operational performance in order to improve the financial performance of the company, especially related to the variables studied and its effects for them.

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