scholarly journals Pengaruh Perceived Quality Dan Country Of Origin Effect Terhadap Niat Beli Xiaomi Smartphone

2018 ◽  
Vol 8 (1) ◽  
pp. 50
Author(s):  
Yuni Puspita Sari
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Purchase Intention ◽  
Brand Management ◽  
Linear Regression Analysis ◽  
Country Of Origin ◽  
Multiple Linear Regression Analysis ◽  
Perceived Quality ◽  
Premium Price ◽  
Origin Effect

Xiaomi smartphone is a smartphone vendors from China newly entered the smartphone market in Indonesia, in contrast to the smartphone with low price and low quality. Xiaomi markets its products with a premium price and high quality products, positioning as a brand management newcomer. This study aims to analyze and discuss the influence of perceived quality and country of origin effect of the Xiaomi smartphone purchase intention (studies in the visitors of Plaza Marina Surabaya). The population in this study is a person aged 19-50 years old who is visiting Plaza Marina Surabaya. In this study, researcher used 220 samples. Sampling method is a non-probability sampling. Data were analyzed using multiple linear regression. In multiple linear regression analysis results show the influence of variables perceived quality and country of origin effect for the purchase intention in the show of the value of Adjusted R Square of 0.407. From the results of the t test that has been done can be seen that the variable perceived quality and country of origin effect has a significant influence partially on the purchase intention.

scholarly journals PERCEIVED VALUE DAN PERCEIVED QUALITY TERHADAP BEHAVIORAL INTENTION WISATAWAN DI TAPLAU PADANG

2018 ◽  
Author(s):  
Yuni Candra ◽  
Hesti Mayasari
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Behavioral Intention ◽  
Linear Regression Analysis ◽  
Perceived Value ◽  
Multiple Linear Regression Analysis ◽  
Perceived Quality ◽  
Statistical Hypothesis ◽  
Coefficient Of Determination ◽  
Statistical Hypothesis Testing

The purpose of this study was to determine the effect of perceived value and perceived quality partially to the behavioral intention of tourists in Taplau Padang. The population in this study are domestic tourists visiting Taplau Padang. The number of samples in this study were 30 respondents which using the technique of non probability sampling. This study is proving the perceived value and perceived quality can influence the behavioral intention of tourists. This study is using descriptive quantitative analysis method which statistical hypothesis testing. Stages of testing the authors do include multiple linear regression test, t-statistical test and coefficient of determination (R2). Results of multiple linear regression analysis in obtaining value Y = 5.255 + 0.751 X1 + 0.233 X2 + e. Perceived value has a significant influence on the behavioral intention of tourists and perceived quality has no significant effect on the behavioral intention of tourists in Taplau Padang because the significant value is greater than 0.05. while simultaneously perceived value and perceived quality influence the behavioral intention of tourists in taplau Padang. And perceived value and perceived quality contribute to the influence of behavioral intention of 61.5% and the remaining 38.5% influenced by other factors.

PENGUKURAN ASPEK KEPUASAN KONSUMEN LE FLUFFY DESSERT

2018 ◽  
Vol 2 (01) ◽  
pp. 61-72
Author(s):  
Liliana Dewi ◽  
Stella Nathania
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Food Industry ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Perceived Quality ◽  
Technique Analysis

The food industry keeps on growing due to the needs of each individual for food to survive. The purpose of this research is to determine the influence of aesthetics, serviceability, perceived quality and durability on the customer satisfaction of Le Fluffy Dessert. Population in this study is customers who already bought product of Le Fluffy Dessert. The number of the population is 53 people. The sampling technique used is saturated sampling. This research uses total of 53 Le Fluffy Dessert customers as the samples. The data are collected using questionnaire. The technique analysis used in this research is multiple linear regression analysis. The results show that aesthetics and serviceability have no significant effect on the customer satisfaction of Le Fluffy Dessert. The results also show that perceived quality and durability significantly affect the customer satisfaction of Le Fluffy Dessert.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Andres Mauricio Munar ◽  
José Rafael Cavalcanti ◽  
Juan Martin Bravo ◽  
David Manuel Lelinho Da Motta Marques ◽  
Carlos Ruberto Fragoso Júnior
Keyword(s):  
Linear Regression ◽  
Spatial Heterogeneity ◽  
Multiple Linear Regression ◽  
Chlorophyll A ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Accurate Estimation ◽  
Shallow Waters ◽  
Chl A ◽  
Input Variables

ABSTRACT Accurate estimation of chlorophyll-a (Chl-a) concentration in inland waters through remote-sensing techniques is complicated by local differences in the optical properties of water. In this study, we applied multiple linear regression (MLR), artificial neural network (ANN), nonparametric multiplicative regression (NPMR) and four models (Appel, Kahru, FAI and O14a) to estimate the Chl -a concentration from combinations of spectral bands from the MODIS sensor. The MLR, NPMR and ANN models were calibrated and validated using in-situ Chl -a measurements. The results showed that a simple and efficient model, developed and validated through multiple linear regression analysis, offered advantages (i.e., better performance and fewer input variables) in comparison with ANN, NPMR and four models (Appel, Kahru, FAI and O14a). In addition, we observed that in a large shallow subtropical lake, where the wind and hydrodynamics are essential factors in the spatial heterogeneity (Chl-a distribution), the MLR model adjusted using the specific point dataset, performed better than using the total dataset, which suggest that would not be appropriate to generalize a single model to estimate Chl-a in these large shallow lakes from total datasets. Our approach is a useful tool to estimate Chl -a concentration in meso-oligotrophic shallow waters and corroborates the spatial heterogeneity in these ecosystems.

scholarly journals The Association of Circulating MiR-29b and Interleukin-6 with Subclinical Atherosclerosis

2017 ◽  
Vol 44 (4) ◽  
pp. 1537-1544 ◽  
Author(s):  
Yu-qing Huang ◽  
Jie Li ◽  
Ji-yan Chen ◽  
Ying-ling Zhou ◽  
An-ping Cai ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interleukin 6 ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Group ◽  
Study Group ◽  
Circulating Levels

Background/Aims: Although it is widely acknowledged that atherosclerosis is mainly a chronic inflammatory process, in which both miR-29b and interleukin-6 (IL-6) play multifaceted roles, the association between miR-29b and IL-6 remains unknown. The aim of the present study was to explore the relationship between miR-29b and IL-6 and to test whether circulating levels of miR-29b and IL-6 could predict atherosclerosis. Methods: A total of 170 participants were divided into two groups according to carotid intima-media thickness (CIMT): study group (CIMT ≥ 0.9mm) and control group (CIMT < 0.9mm). Levels of circulating miR-29b and IL-6 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), respectively. The association of miR-29b and IL-6 levels with CIMT was assessed using Spearman correlation analysis and multiple linear regression analysis. Results: The study group showed higher miR-29b levels (31.61 ± 3.05 vs. 27.91 ± 1.71 Ct, p < 0.001) and IL-6 levels (3.40 ± 0.67 vs. 2.99 ± 0.37 pg/ml, p < 0.001), compared with the control group. CIMT was positively correlated with miR-29b (r = 0.587, p < 0.001) and IL-6 (r = 0.410, p < 0.001), and miR-29b levels were also correlated with IL-6 (r = 0.242, p = 0.001). Multiple linear regression analysis also showed that CIMT was positively correlated with miR-29b and IL-6. After adjustment for age, body mass index, systolic blood pressure, total cholesterol and C-reactive protein, CIMT was still closely correlated with miR-29b and IL-6. The combination of miR-29b and IL-6 (AUC = 0.901, p < 0.001) offered a better predictive index for atherosclerosis than either miR-29b (AUC = 0.867, p < 0.001) or IL-6 (AUC = 0.747, p < 0.001) alone. Conclusion: Circulating levels of miR-29b and IL-6 may be independently correlated with subclinical atherosclerosis, and may serve as novel biomarkers for the identification of atherosclerosis.

Sign in / Sign up

Export Citation Format

Share Document