scholarly journals PENGELOLAAN DAN PENERIMAAN SOSIAL AGROFORESTRI TRADISIONAL DUKUH DI KABUPATEN BANJAR KALIMANTAN SELATAN

2016 ◽  
Vol 12 (1) ◽  
pp. 15
Author(s):  
Hafizianor Hafizianor ◽  
Herry Iswahyudi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Local Community ◽  
Social Acceptance ◽  
Linear Regression Analysis ◽  
Good Condition ◽  
Multiple Linear Regression Analysis ◽  
The Social ◽  
Traditional Agroforestry

Banjar District, one of which district that most peoples working as farmer in between gardening fruit, and present the results from the orchard began to decline. The purpose of this study is: (1) The Management of traditional agroforestry dukuh in The Banjar District (2) Knowing the social acceptance of the existence of an orchard with traditional agroforestry dukuh in the district of Banjar (3) Knowing the factors that influence the social acceptance of the existence of the orchard.  Obtain data used 2 methods primer and secondary data. Population of this study used purposive sampling. As for knowing the factors that influence people's  social acceptance of the existence of an orchard  used Multiple Linear Regression  Analysis, processed through Statistical Program for Social  Sciences. Obtained by calculating an index score of each elements of the social acceptance of  such participation, attitudes and values, it is mean peoples still have high levels of social acceptance the orchard. The results showed the traditional management system of dukuh consist of the local community wisdom value .  The contribution that given by the traditional agroforestry dukuh from the economic sector is siginificant enough amount of 33% of the community income totally in a year so that the performance of traditional agroforestry is good for the side of productivity, sustainability, justice and eficiency showing the good condition.  Level social acceptance of existence the orchard with traditional agroforestry dukuh, according to the analysis of data obtained has high acceptance rate, is 82.86. As for factors that affected, the results of multiple linear regression analysis of testing is known that  the  seven  factors  affected  social acceptance,  there are  three  factors that significantly influence social acceptance,  namely  income, production,  and marketing.

scholarly journals PENGARUH KREDIBILITAS INFLUENCER DI MEDIA SOSIAL TERHADAP KEPUTUSAN WISATAWAN MILENIAL KE LABUAN BAJO

Jurnal IPTA ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 144
Author(s):  
Michael Reivin Limengka ◽  
N.M.S. Sofia Wijaya ◽  
Putu Agus Wikanatha Sagita
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Social ◽  
Form Feature

The study aims at finding out the characteristic of the millennial tourists who visit Labuan Bajo and identifying the influence of the social media influencers’ credibility on their decision to visit Labuan Bajo. In selecting the sample, the study used the purposive sampling method in which some online questionnaires were given to 100 respondents via Google Form feature. The techniques of analyzing the data applied in the study were descriptive qualitative and multiple linear regression analysis using IBM SPSS 25.0 for Windows application. The result of the study shows that, partially and simultaneously, there is a positive impact of the social media influencers’ credibility on the millennial tourists’ decision to visit Labuan Bajo. The results showed that partially, the influencers' credibility positively and significantly affected the millennial tourists’ decision to visit Labuan Bajo. The sig. value of each are as follows: Attractiveness (X1) of 0.043 < 0.05; The Trustworthiness (X2) of 0.047 < 0.05 and the Expertise (X3) of 0.000 < 0.05. While simultaneously, there is a positively and significantly affected the social media Influencers’ credibility on the Millennial tourists’s decision to visit Labuan Bajo, with a sig. value of 0.000 < 0.05.

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 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.

scholarly journals Utility of intraoperative rotational thromboelastometry in thoracolumbar deformity surgery

2017 ◽  
Vol 27 (5) ◽  
pp. 528-533 ◽  
Author(s):  
Jian Guan ◽  
Chad D. Cole ◽  
Meic H. Schmidt ◽  
Andrew T. Dailey
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interbody Fusion ◽  
Blood Product ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Rotational Thromboelastometry ◽  
Transfusion Requirements ◽  
Guided Therapy

OBJECTIVEBlood loss during surgery for thoracolumbar scoliosis often requires blood product transfusion. Rotational thromboelastometry (ROTEM) has enabled the more targeted treatment of coagulopathy, but its use in deformity surgery has received limited study. The authors investigated whether the use of ROTEM reduces transfusion requirements in this case-control study of thoracolumbar deformity surgery.METHODSData were prospectively collected on all patients who received ROTEM-guided blood product management during long-segment (≥ 7 levels) posterior thoracolumbar fusion procedures at a single institution from April 2015 to February 2016. Patients were matched with a group of historical controls who did not receive ROTEM-guided therapy according to age, fusion segments, number of osteotomies, and number of interbody fusion levels. Demographic, intraoperative, and postoperative transfusion requirements were collected on all patients. Univariate analysis of ROTEM status and multiple linear regression analysis of the factors associated with total in-hospital transfusion volume were performed, with p < 0.05 considered to indicate statistical significance.RESULTSFifteen patients who received ROTEM-guided therapy were identified and matched with 15 non-ROTEM controls. The mean number of fusion levels was 11 among all patients, with no significant differences between groups in terms of fusion levels, osteotomy levels, interbody fusion levels, or other demographic factors. Patients in the non-ROTEM group required significantly more total blood products during their hospitalization than patients in the ROTEM group (8.5 ± 4.2 units vs 3.71 ± 2.8 units; p = 0.001). Multiple linear regression analysis showed that the use of ROTEM (p = 0.016) and a lower number of fused levels (p = 0.022) were associated with lower in-hospital transfusion volumes.CONCLUSIONSROTEM use during thoracolumbar deformity correction is associated with lower transfusion requirements. Further investigation will better define the role of ROTEM in transfusion during deformity surgery.

scholarly journals Pengaruh Kualitas Layanan dan Kualitas Produk Terhadap Kepuasan Nasabah Bank

2020 ◽  
Vol 1 (02) ◽  
pp. 133-140
Author(s):  
Meli Andriyani ◽  
Riski Ardianto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Research Data ◽  
Positive Effect

The bank as a service company places great importance on satisfaction through services and products. The purpose of this study was to determine the effect of service quality and product quality on customer satisfaction. The research was conducted by distributing questionnaires to 100 respondents, namely bank customers who live and have bank accounts in the Cibubur area. The research data were analyzed using multiple linear regression analysis. The study found that service quality did not affect customer satisfaction, while product quality had a positive effect on customer satisfaction.

scholarly journals Effect of Information Technology, Satisfaction and Motivation to Teacher Performance

2018 ◽  
Vol 5 (1) ◽  
pp. 4370-4378 ◽  
Author(s):  
Rahmad Wahyudi ◽  
Djoko Poernomo ◽  
Zarah Puspitaningtyas
Keyword(s):  
Information Technology ◽  
Elementary School ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Teacher Performance ◽  
Linear Regression Analysis ◽  
Civil Servant ◽  
Multiple Linear Regression Analysis ◽  
Research Findings

This study aims to determine the effect of information technology, satisfaction and motivation on teacher performance. Respondents are civil servant teachers of Public Elementary School in Kendit sub-district, Situbondo district, amounting to 104 teachers, which amounts to 104 teachers. The sample size is 83 people. Research using multiple linear regression analysis. The research findings show that there is no influence between information technology variables on teacher performance. While the variable of satisfaction and motivation have an effect on to teacher performance

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