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 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 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.

scholarly journals Association between Visceral or Subcutaneous Fat Accumulation and B-Type Natriuretic Peptide among Japanese Subjects: A Cross-Sectional Study

2021 ◽  
Vol 10 (6) ◽  
pp. 1315
Author(s):  
Yoshinori Hayashi ◽  
Hirohide Yokokawa ◽  
Hiroshi Fukuda ◽  
Mizue Saita ◽  
Taiju Miyagami ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Natriuretic Peptide ◽  
Linear Regression Analysis ◽  
Subcutaneous Fat ◽  
Multiple Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Background: Some previous studies have shown reduced levels of plasma B-type natriuretic peptide (BNP) in individuals with obesity. We aimed to estimate the relationship between BNP and abdominal fat distribution, adjusted for confounding factors. Methods: This cross-sectional study included 1806 Japanese individuals (981 men and 825 women) who underwent a medical health check-up. Analyzed data included age, sex, visceral fat area (VFA), and subcutaneous fat area (SFA) as obtained from computed tomography, blood pressure, and blood test results including BNP. Multiple linear regression analysis was used to examine the association between BNP, VFA, and SFA after adjusting for age, sex, comorbidities, and body mass index. Results: In the models analyzed separately for VFA and SFA, BNP correlated independently with VFA in multiple linear regression analysis among all subjects and in both men and women, while SFA correlated inversely with BNP in all subjects and women but not in men. In the model that included both VFA and SFA, BNP correlated independently with VFA, but SFA and BNP were not correlated in any models. Conclusion: Higher VFA showed an independent, significant association with lower BNP. In addition, the inverse correlation with BNP was stronger for VFA than for SFA.

Correlation of eccentric strength of the knee extensors and knee proprioception with dynamic postural control

2021 ◽  
pp. 1-8
Author(s):  
Jeongwoo Jeon ◽  
Jiyeon Lee ◽  
Jiheon Hong ◽  
Jaeho Yu ◽  
Jinseop Kim ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Postural Control ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Joint Position Sense ◽  
Knee Extensors ◽  
Balance Test ◽  
The Relationship

BACKGROUND: It is important for clinicians and researchers to perform dynamic postural control evaluation for predicting musculoskeletal conditions, injury prevention, and rehabilitation. OBJECTIVE: The purpose of this study was to investigate the relationship (1) between the eccentric strength of the knee extensors and star excursion balance test (SEBT), and (2) between the knee proprioception and SEBT. METHODS: Forty healthy young adults participated in this study. The eccentric peak torque (EPT) of the knee extensors, joint position sense, and force sense were measured. The participants also performed SEBT. Pearson’s product-moment correlation and multiple linear regression analysis were used to determine the relationship between the variables and SEBT. RESULTS: The posteromedial direction of the SEBT was positively and strongly correlated with EPT (r= 0.74, P< 0.01). The anterior and posterolateral directions were positively and moderately correlated with EPT (r= 0.46, P< 0.01, and r= 0.69, P< 0.01, respectively.). However, knee proprioception was not correlated with all the directions of SEBT (P> 0.05). According to the results of multiple linear regression analysis, EPT of the knee extensors significantly predicted SEBT reach distances. CONCLUSION: The eccentric strength of the knee extensors seems to be an essential factor in dynamic postural control. However, the knee proprioception did not show a significant correlation with SEBT.

scholarly journals ANALISIS PENDAPATAN DAN SKALA EKONOMI USAHATANI BAWANG MERAH DI KOTA METRO

2020 ◽  
Vol 8 (2) ◽  
pp. 210
Author(s):  
Gesti Verdayanti ◽  
Muhammad Irfan Affandi ◽  
Ani Suryani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Function ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Research Data ◽  
Total Cost ◽  
C Value

This research aims to determine the analyze cost, revenue, income and economic of scale of onion farming. This research was conducted in Metro City which is chosen purposively in which total number of respondents are 33 farmers who are chosen using saturation sampling. Primary and secondary data were collected in November 2017–Mei 2018. The research data are analyzed byincome analysis and multiple linear regression analysis with Cobb-Douglass production function. The results of this research showed that onion farming at first cultivation season and second cultivation season was profitable for farmers in Metro City, R/C value of total cost was about 1.43 and 1.53. Economic of scale of onion farming in Metro City was increasing return to scale,meaningthat there was an increase of the profit caused by an increase of total production.Keywords: economic of scale,income,onion farming

scholarly journals Pengaruh Suhu, Hujan dan Kelembaban Terhadap Kerusakan Jalan di Kabupaten Pacitan

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Diana Rendrarini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Tropical Country ◽  
Ex Post ◽  
Stepwise Method

Indonesia as a tropical country has two seasons, namely the dry season and the rainy season. Each season changes usually have a significant influence in several regions. Pacitan Regency is an area in East Java, part of which is the coast and mountains. Several roads in Pacitan Regency have damaged conditions, including waterlogging, potholes and bumpy conditions. Some factors that cause damaged road conditions include the influence of temperature, rain, and humidity. In this study data analysis was performed using Multiple Linear Regression analysis with the Stepwise method. Where this research is quantitative and ex-post facto research. The data collection method uses the documentation method, which is collecting secondary data from several related agencies. Based on the results of data analysis using Multiple Linear Regression Analysis with the Stepwise method, it can be concluded that the temperature factor has an influence on road damage, while the rain and humidity factors do not have any effect.

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 ANALISIS PENANAMAN MODAL ASING DAN EKSPOR TERHADAP PRODUK DOMESTIK BRUTO SEKTOR INDUSTRI DI INDONESIA

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Iqfina Harun ◽  
Cut Putri Mellita sari
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Industrial Sector ◽  
Analysis Method

This study aims to determine the effect of foreign investment and exports on GDP in the industrial sector in Indonesia. The data used in this study are secondary data from 2010 to 2018. The data analysis method used in this research is multiple linear regression analysis. The results show that foreign investment and exports have a positive and significant effect on the GDP of the Indonesian industrial sectorKeywords:Gross Domestic Product, Foreign Investment, Export

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