scholarly journals Investigating the Determinants of App-based Land Transportation User Loyalty in Jakarta Using PLS-SEM Framework

2021 ◽  
Vol 8 (1) ◽  
pp. 25-36
Author(s):  
Michael Christian ◽  
Farida Jasfar ◽  
Hamdy Hady

This study aims to investigate user loyalty factors using application-based land transportation in Jakarta. The methodology in this study uses a quantitative approach and a questionnaire is used as an instrument to collect data. With an unknown population, this study used 301 samples of application-based land transportation users. The statistical method used to analyze the hypotheses in this study is Partial Least Square - Structural Equation Modeling (PLS-SEM) with WARP-PLS. Based on the results of statistical tests, it was found that 6 hypotheses were accepted, and 5 hypotheses were rejected. The result of this study explains that ease of using the application affects the loyalty in using application-based transportation. Meanwhile, loyalty is not influenced by application display, service responsiveness in applications, service adjustment, service guarantee and user attitudes. This research further explains that the ease of using the application, application display, service adjustment, and service guarantee affect the user's attitude. On the other hand, service responsiveness does not affect attitude towards using. As novelty, the use of the loyalty framework in this study uses the use attitude as a mediator of main factors in service quality for application-based transportation in urban areas. As a managerial implication, it is interesting that the results of this study explain that loyalty in the use of application-based transportation is not automatically formed from a positive attitude towards using. The adjustment of services provided on the application because of competition in the application-based transportation industry must be able to meet user expectations which tend to change according to the offers provided by service providers.

2021 ◽  
Vol 3 (2) ◽  
pp. 67-74
Author(s):  
Faisal Husni ◽  
Didi Kurniadi ◽  
Verlina Y Kawangung ◽  
Putri Rahmawati

This study uses a causal model survey method using path analysis techniques. This study aims to confirm the  theoretical model with empirical data, the study population is employees in Investment and Integrated Service Office  Bintan Regency, with sample of 39 employees. Data collecting technical using variable measurements by a  questionnaire instrument, this instrument was developed based on theoretical studies. Data analysis uses descriptive  statistics and statistical analysis. Statistical tests are used to test the significance of path coefficients using Partial Least  Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS  can be used for a small number of samples and does not require the assumption that data distribution must be normal or  not. The results of the analysis found that the relationships between variables formulated in the formulation of the  problem as many as 6 pieces obtained significant results. 


2021 ◽  
Vol 5 (1) ◽  
pp. 1-6
Author(s):  
Nisfil Mufidah ◽  
M. Suhron ◽  
Rahmad Wahyudi

This study aims to determine the incidence of PSA and the factors that influence it. The study was conducted on 78 patients with neurologic stroke at ANNA Medika Madura Hospital from May to July 2021 and aged over 40 years using simple random sampling. Measuring tools using Hamilton Anxiety Rating Scale, vascular disorders, stroke disorders, and Neurophysiological disorders. Analysis using the Structural Equation Modeling with the software Partial Least Square. Based on the results of statistical tests, it was found that demographic factors (T-statistics 1.756), vascular disorders factor (T-statistics 2.873), stroke disturbance factor (T-statistics 2.164), and neurophysiological disorders factor (T-statistic 3.070). The factor that had the greatest influence on PSA was the neurophysiological factor, with the most influencing subfactor being the cognitive function of stroke patients indicated with MMSE results. Stroke patients with decreased cognitive function will affect the effectiveness of the rehabilitation program. This will lead to an increase in their anxiety with the subsequent effect being a decrease in the quality of life in stroke patients. So rated important for the power of Health assess cognitive function is to reduce PSA.


2018 ◽  
Vol 7 (4) ◽  
pp. 361-372
Author(s):  
Trisnawati Gusnawita Berutu ◽  
Abdul Hoyyi ◽  
Sugito Sugito

Technology advances are bring rapid changes, thus bringing the world to the information society. From this technological progress thus e-commerce emerged, as a means to meet the needs of goods and services through internet access (online). This is what the airlines utilized by cooperating with various internet service providers (online), to provide convenience and comfort of airplane passengers in buying tickets without having to come directly to the place and through intermediaries. To provide the best service, need to know what factors that influence customer satisfaction in ordering airline tickets online. Appropriate modeling for this problem using structural equation modeling, with Partial Least Square (PLS) approach. The PLS approach is chosen because it is not based on several assumptions, one of these is the normal multivariate assumption. In this research, the exogenous latent variables used are performance, access, security, sensation, information, and web design, while the endogenous latent variables are satisfaction and loyalty. Based on the results of the analysis it can be concluded that the latent variables of access, security, sensation, information, and web design are able to explain the latent satisfaction variable of 70.32% while the satisfaction latent variable is able to explain the latent variable of loyalty by 36.02%. 


2018 ◽  
Vol 11 (1) ◽  
pp. 67
Author(s):  
Pristiana Widyastuti ◽  
Alwani Alwani

<p><em>This study aims to analyze the influence of rational motives and emotional motives on purchasing decisions with community advice as a moderating variable. This study was conducted on </em><em>biker as community adviser</em><em> in Jakarta. The number of samples is 75 data, obtained from the questionaire filled by the respondents. Data analysis uses Structural Equation Modeling (SEM) with Partial Least Square (PLS) test equipment. The results of statistical tests </em>revealed that the<em> rational motives and emotional motives </em>have<em> positive effect on purchasing decisions, whereas community advice has no positive effect on purchasing decisions, </em>it is<em> not able to moderate the relationship among variables. Producer and distributors are important to maintain the quality and reliability of products that rationally influence consumers to buy. In addition, efforts to maintain the credibility of the brand are also important to emphasize the consumer’s pride. </em></p><p><em> </em></p>


2018 ◽  
Vol 4 (1) ◽  
pp. 21-29
Author(s):  
Jihadil Qudsi ◽  
Jian Budiarto ◽  
Sandi Justitia Putra

Decision support systems, commonly called DSS (or SPK in Bahasa), in medical used to diagnose illness. But within its implementation these systems are not used optimally. The main cause is the interface of the systems that is not accordance with the user wants. Three interface designs layouts were proposed for the phase of history and physical examination and two interface designs layouts for investigations to be assessed by the respondents. Based on the results of the questionnaires selected by respondents, statistical tests were performed to determine the value of the use of interface design based on the Technology Acceptance Model (TAM) and modified TAM. The statistical methods used to examine the effect of variables on TAM and modified TAM i.e. the Structural Equation Modeling Partial Least Square (SEM PLS) method. The results of this study indicate that the respondents’ choice in the TAM and modified TAM model for the history and physical examination is the same as the based filling system. While for the supporting stage there are differences of respondent choice on TAM model with choice of graphical interaction system and on modified TAM model with windowing system option.


2021 ◽  
Vol 3 (2) ◽  
pp. 59-66
Author(s):  
Putri Rahmawati ◽  
Verlina Y Kawangung ◽  
Didi Kurniadi ◽  
Faisal Husni

This study uses a causal model survey method using path analysis techniques. This study aims to confirm the  theoretical model with empirical data, the study population is employees in the Bintan Regency Health Office, which  consists of civil servants and honorary employees with samples of 89 employees. Data collecting technical using  variable measurements by questionnaire instruments, this instrument was developed based on theoretical studies. Data  analysis uses descriptive statistics and statistical analysis. Statistical tests are used to test the significance of path  coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural  equation modeling (SEM). PLS can be used for a small number of samples and does not require the assumption that  data distribution must be normal or not. The results of the analysis found that relationships between variables  formulated in the formulation of the problem as many as 6 pieces obtained significant. 


2021 ◽  
Vol 306 ◽  
pp. 03011
Author(s):  
M. Khalifatul Ardhi ◽  
Jangkung Handoyo Mulyo ◽  
Irham

The increasing growth of the coffee shop business with a fast and attractive expansion as a food & beverage industry in urban areas of Indonesia, especially Special Region of Yogyakarta has led to business competition between micro, small, and medium enterprises (MSMEs) which are required to use their ability to adapt, be competitive and improve business performance. The entrepreneurial orientation is claimed to important contributions to business success. This study aims to analyze the effect of entrepreneurial orientation on business performance. Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis method is used to examine the effect of five dimensions of entrepreneurial orientation (innovative, proactive, risk-taking, autonomy, and competitive aggressiveness) on business performance. This research was conducted at 80 coffee shop MSMEs with the sampling technique using convenience sampling. The results showed that the dimensions of proactive, autonomy, and competitive aggressiveness were found to have a positive and significant effect on business performance, while the innovative and risk-taking dimensions did not affect significantly on business performance.


2021 ◽  
Vol 3 (2) ◽  
pp. 51-58
Author(s):  
Verlina Y Kawangung ◽  
Putri Rahmawati ◽  
Faisal Husni ◽  
Didi Kurniadi

This study uses a causal model survey method using path analysis techniques. The aims of this study is to confirm the theoretical model with empirical data, the study population is employees at Kijang Health Center in Bintan  Regency, which consists of civil servants and temporary employees with samples of 44 employees. Data collecting  technical using variable measurements by questionnaire instruments, this instrument was developed based on  theoretical studies. Data analysis uses descriptive statistics and analysis statistics. Statistical tests are used to test the  significance of path coefficients using Partial Least Square (PLS), which is a Multivariate Analysis in the second  generation using structural equation modeling (SEM). PLS can be used for a small number of samples and does not  require the assumption that data distribution must be normal or not. The relationships between variables formulated in  the formulation of the problem as many as 6 pieces obtained significant results.


2019 ◽  
Vol 31 (5) ◽  
pp. 2114-2128 ◽  
Author(s):  
Jiseon Ahn

Purpose This study aims to analyze the antecedents and consequences of customers’ actual and ideal self-congruence in the tourism and hospitality context. This research analyzes playfulness (e.g. creative- and enjoyment-based), self-congruence (e.g. actual and ideal self-congruence) and passion (e.g. harmonious and obsessive). Design/methodology/approach Data were collected from 350 integrated resort customers in the USA, and the hypotheses were examined using partial least square-structural equation modeling. Findings Findings suggest that creative-based playfulness significantly and positively influences the different types of customers’ self-congruence. Moreover, a fit between integrated resort brand and customers’ actual and ideal self leads to their harmonious and obsessive passion toward integrated resort brand. Research limitations/implications In the integrated resort setting, customers’ attitude toward innovation served as the antecedent of self-congruence and passion. The proposed model can be used to other sectors, such as hotels, restaurants and casinos. Practical implications The present study contributes to integrated resort service providers through the provision of several insights into how they can manage integrated resort brands. Originality/value This study contributes to the service research and extends previous studies in several important ways. Although previous studies have focused on analyzing the effect of the playfulness of product on customers’ behavior, the current study moves a step further by assessing its relationship with dual types of image congruence and passion in the tourism and hospitality setting.


Food Research ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 1045-1052 ◽  
Author(s):  
M.W. Ellinda-Patra ◽  
R. Dewanti-Hariyadi ◽  
B. Nurtama

In 2016-2017, foodborne outbreaks in Indonesia were mostly due to foods from households and street food vendors, indicating that people do not understand and apply food safety practices properly. In 2015, the government of Indonesia initiated a community-based food safety empowerment program to increase food safety knowledge, attitude and behavior of selected communities. Knowledge, attitude, and behavior are variables which can appropriately be analyzed by multivariate analysis. This study aimed to determine the characteristics and relationships of food safety knowledge, attitude and behavior in the intervened communities using the Partial Least Square Structural Equation Modeling (PLS-SEM) method. The study used purposive method to establish the respondents and developed a questionnaire to collect the responses. A total of 254 respondents were obtained from 9 urban areas in DKI Jakarta Province. Analysis using PLS-SEM concluded one statement for knowledge, three statements for attitude, and six statements for behavior as the statement characteristics for food safety. Results of this study suggest that knowledge affects food safety attitude and behavior significantly, but attitude does not influence behavior significantly. These results indicated the need to improve food safety knowledge in order to improve food safety attitude and behavior of the communities. However, it is important to realize that the transformation of attitude into behavior requires other factors such as environmental support and ease of the application of the principle of food safety.


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