influence variable
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2021 ◽  
Vol 6 (2) ◽  
pp. 177
Author(s):  
Edy Prihantoro ◽  
Dwi Asih Haryanti ◽  
Noviawan Rasyid Ohorella ◽  
Susilowati Dyah Kusumaningtyas

Instagram @sekolahrelawan is an account that is a place for users to share and help others. This study aims to see the influence of the media on the Instagram account @sekolahrelawan Volunteers on the level of concern among Generation-Z. This research uses quantitative research with an explanatory approach. This research was conducted by sending online questionnaires to AKMRTV Jakarta students who are followers or have seen Instagram @sekolahrelawam content. Respondents in this study were 86 people and were determined based on simple random sampling. Meanwhile, to obtain data through a questionnaire or questionnaire. The results of this study indicate that the influence of Instagram @sekolahrelawan on the level of social care among generation z. Evidenced by the value of the regression coefficient in this study is Y = 39.261 + 0.618X. The constant number is 39,261 and the Instagram influence variable is 0.618. Meanwhile, t count 39.261 is bigger than t table 16.63, with a significance level of 0.000 smaller than α = 0.05. Based on the table "Model Summary", that the value of R = 0.618 and the coefficient of determination (Rsquare) is 0.464. This figure shows the understanding that the contribution of the @sekolah volunteer Instagram account attack variable to the Level of Social Care among Generation Z at AKMRTV Jakarta is 61.8%. The @Sekolahrelawan  account has a positive influence on Generation Z social care. The information conveyed through this account provides a clear picture of social realities in society that require the care of all parties, especially Generation Z.


2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Yolanda Anastasia Sihombing

The competition of bussines in hospital  nowdays has been entering an era of high competition. Where all the hospital  are trying to compete in maintaining the costumer they had. These experiment is intend to analyze the impression of good service, satisfactory, trust, commitment, brand equity, hospital  image toward the outpatient. The method of research that used is quantitative with the design of cross-sectional. The analyze method(SEM) with smart PLS 2.0 an SPSS 18. The result of hipotesis resting using Structural Equation Model SEM is the loyality of outpatient in RS kesdam Cijantung is affected by the quality of services (23.19%) satisfactory(18.27%) trust(11.08%) commitment (6.28%) brand equaty (15.58%) and hospital  image (9.35%) this is a direct influences (83.86%) while the indirect influence is (0.87%). The result of this analyze model explained (71.95%) of vary data and able to review fenomena that used in research, in contrary (28.05%) is explained as difficult component in this experiment. In conclusion toward this  research that the services quality is the most influence variable that effect patient loyality.


2021 ◽  
Vol 7 (1) ◽  
pp. 71-78
Author(s):  
Natris Idriyani

This study aims to test the fit model of the influence of character strength and parent attachment on resilience mediated by the religiosity of adolescent victims of the earthquake and tsunami who live on the coast. The conceptual used to explain resilience is based on the socio-ecological perspective of  Ungar & Liebenberg (2013). Character strength uses the theory of Seligman (2006). The concept of parent attachment is explained based on Armsden and Greenberg's (1987) theory. And the concept of religiosity is based on Fetzer's theory (1999). The measuring instrument used to measure resilience is YCRM, character strength using VIA-IS for youth, parent attachment using IPPA, and religiosity using the religiosity scale. The data analysis technique used in this study was the Structural Equation Model (SEM) with the help of Amos software. The results showed that the model of the influence of character strength and parent attachment on resilience mediated by the religiosity of youth victims of the earthquake and tsunami living on the coast is fit with the data. Religiosity acts as a mediator of the influence variable between character strength and parent attachment on the resilience of adolescent victims of the earthquake and tsunami living on the coast.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Fellasufah Diniyah

This study aims to examine the determine behavioral intentions influence Muslim using platform crowdfunding waqf by adopting the concept of the Unified Theory of Accaptance and Use of Technology (UTAUT) model. The platform crowdfunding waqf acts as an intermediary between wakif and nadhir waqf in developing a productive waqf project. This study uses primary data collected using an online survey questionnaire and then the analysis used is partial least square (PLS). The results of this study indicate that the variable performance expectations, effort expectations, and facilitating conditions have a positive and significant effect on the intention of Muslim crowdfounders to use waqf crowdfunding platform. Meanwhile, the social influence variable has no positive and significant effect. This study will contribute to the existing literature, especially on the factors that influence the adoption of the waqf-based crowdfunding model.


2021 ◽  
Vol 23 (2) ◽  
pp. 281-297
Author(s):  
Gunawan Prayitno ◽  
Zendy Nugraha Nursaputra ◽  
Aris Subagiyo ◽  
Mayang Wigayatri

Tambaksari Village is one of the villages located in Sumbermanjing Wetan District, the main activity of which is agriculture. However, data from Malang Regency in Figures for 2019 shows that 316 residents were recorded leaving the Sumbermanjing District to work as migrant workers. Migration of people outside the village can result in reduced resources for village development and agricultural land managers, most of whom are in rural areas. The aim of this study is to determine the impact of the Internet on young people 's intention to migrate abroad in terms of use. Based on the survey results, the entire Tambakasri Village area has been served by a mobile Internet network, as well as WiFi hotspots in several locations (Tambakasri Village Office and several coffee shops). Descriptive statistics and SEM-PLS were the data analysis method used. Based on the results of the analysis, it is known that the variable with the greatest total effect in the measurement of the INTENSE variable is the KONTEN variable + 0.001 (INFRAS and USE are negative). This means that the variable CONTEN is the variable that has the most dominant influence on the INTENSI variable in international migration, but can not be separated from INFRAS and USE. Based on the results of the test hypotheses, it is known that the Internet Influence variable consisting of indicators A, B and C has a significant effect on the International Youth Migration Intents variable in rural areas with an effect value based on the R-Squared value of 0.47 or 47 percent.


CAUCHY ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 238-245
Author(s):  
Ria Dhea Layla Nur Karisma ◽  
Juhari Juhari ◽  
Ramadani A Rosa

Population poverty is one of the serious problems in Indonesia. The percentage of population poverty used as a means for a statistical instrument to be guidelines to create standard policies and evaluations to reduce poverty. The aims of the research are to determine model population poverty using MARS and Bagging MARS then to understand the most influence variable population poverty of Central Java Province in 2018. The result of this research is the Bagging MARS model showed better accuracy than the MARS model. Since, GCV value in the Bagging MARS model is 0,009798721 and GCV value in the MARS model is 6,985571. The most influential variable poverty population of Central Java Province in 2018 in the MARS model is the percentage of the old school expectation rate (X9). Then, the most influential variable in the Bagging MARS model is the number of diarrhea (X1).


Author(s):  
I Gusti Bagus Rai Utama, Christimulia Purnama Trimurti, Ni Putu Dyah Krismawintari, I Wayan Ruspendi Junaedi

This investigation was driven in Pelaga and Buyan-Tamblingan Area was organized using a research study that about 500 respondents for the start of 2020 and dictated by an accidental sampling method. The statistical analysis uses multiple linear regression, ANOVA, and R square to make an investigation conclusion. Main findings are simultaneously predictors variables consisting of beautiful scenery, most recently facilities, unique attractions, completeness of facilities, close distance, easy transportation, easy to reach location, and community hospitality significantly influence variable dependent intention to visit with influence strength of the determinant value at 0.539 or 53.9%. This study will enable the marketing practitioners to better understand the motivation of visitors to visit agritourism areas. Some predictor variables that significantly influence the intention to visit are the latest facilities, unique attractions, easy to reach location, and community hospitality.


2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Chandra Setiawan ◽  
Qu Yumeng

<p>Contruction companies in China debt to asset ratio around 76.16 % to 82.67% compared to other countries in average below 40%. Therefore, the objective of this research is to find out the determinants of the capital structure of listed construction companies in China. By employing the panel multiple regression model to meet the research objective. Through purposive sampling technique 10 listed companies in the construction industry from 2012 to 2019 are selected as samples, so there are 80 observations sample.  The variable used to proxy capital structure is total debt ratio, and the independent variables are profitability, asset tangibility, firm size, growth opportunities, non-debt tax shield, interest rate and inflation rate. Among the independent variables been tested, the results reveal that five independent variables, except non-debt tax shield and inflation rate have a significant impact toward capital structure. Interest rate is the most significant influence variable. Finally, this research puts forward relevant suggestions for the optimization of the company's capital structure.</p>


2020 ◽  
Vol 9 (2) ◽  
pp. 62-69
Author(s):  
Syukri

The research aim is to influence and prove the impact of the disclosure of corporate social responsibility on the financial performance of plastic and packaging manufacturing sub sector companies are listed on the indonesian stock exchange (IDX) in 2011-2015. Company’s financial performance was measured by return on asset and return on equity. The population used in this study were all manufacturing companies plastic and packaging sub sector are listed on the IDX  in 2011-2015. The research samples consist of 6 companies by observing 30 and then selected by using purposive sampling. The method of analysis being use in this research was sample linier regression and statistical tests t. The result showed that there are influence variable the disclosure of CSR to financial performance ( was measured by return on asset), known from the P-Value 0,030 ≤ 0,05 and there are no influence variable the disclosure of CSR to financial performance (was measured by return on equity) known from the P-Value 0,287 ≥ 0,05


2020 ◽  
Vol 1 (2) ◽  
pp. 58-64
Author(s):  
Hendry Hendry ◽  
Mangatas Silaen ◽  
Jamaludin Jamaludin

Nurses as one of health workers in the hospital having an important role in achieving health development goals. The success of health services depends on the participation of nurses to provide high quality care nursing for patients. This research is quantitative and using cross sectional design. The purpose of this research is to see what factors that can influence over the performance of nurses of emergency room in Bunda Thamrin Hospital Medan 2018. This research use total sampling or exhaustic sampling and The source data of this research is using questionnaire and then followed by using univariate analysis, bivariate analysis, and multivariate analysis with SPSS program. The results of this research is that work load (p=0,000),strees of work (p=0,000),competention (p=0,000), insentive (p=0,000),length of working (p=0,000) have influences for performance of nurse. After multivariate analysis the most influence variable is work load (p=0,000. The result showed that there was correlation between work load, strees of work, competention, insentive, length of working has influences against work performances of nurse. Therefore, needs toimprovenursing service that can be made to improving the performance of nurses with increased knowledge through education nursing sustainable and improving skills nursing is absolutely necessary. The arrangement of a work conducive environment so important, so that nurses can work effectively and efficiently .Creating a work that could lead to a nurse to do the best.


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