ANALISIS TEKNIK RAGAM DIALOG DIAGNOSIS PENYAKIT BERBASIS SPK DENGAN SEMPLS

2018 ◽  
Vol 4 (1) ◽  
pp. 21-29
Author(s):  
Jihadil Qudsi ◽  
Jian Budiarto ◽  
Sandi Justitia Putra
Keyword(s):  
Physical Examination ◽  
Technology Acceptance ◽  
Interface Design ◽  
Structural Equation ◽  
Statistical Tests ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Tam Model ◽  
Interface Designs

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.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

scholarly journals The Influence of Career Development, Competence, Work Motivation, Job Satisfaction, Against the Performance of Health Service Employees in Bintan Regency

2021 ◽  
Vol 3 (2) ◽  
pp. 67-74
Author(s):  
Faisal Husni ◽  
Didi Kurniadi ◽  
Verlina Y Kawangung ◽  
Putri Rahmawati
Keyword(s):  
Structural Equation ◽  
Work Motivation ◽  
Statistical Tests ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Survey Method ◽  
Service Employees ◽  
Analysis Techniques ◽  
Study Population

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. 

scholarly journals Analysis of post-stroke anxiety (PSA) factors during the COVID-19 pandemic in Indonesia

2021 ◽  
Vol 5 (1) ◽  
pp. 1-6
Author(s):  
Nisfil Mufidah ◽  
M. Suhron ◽  
Rahmad Wahyudi
Keyword(s):  
Cognitive Function ◽  
Structural Equation ◽  
Rating Scale ◽  
Statistical Tests ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Stroke Patients ◽  
Vascular Disorders ◽  
Disturbance Factor

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.

scholarly journals PERAN COMMUNITY ADVICE SEBAGAI PEMODERASI DALAM KEPUTUSAN PEMBELIAN

2018 ◽  
Vol 11 (1) ◽  
pp. 67
Author(s):  
Pristiana Widyastuti ◽  
Alwani Alwani
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Statistical Tests ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Quality And Reliability ◽  
The Relationship ◽  
Positive Effect

<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>

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

scholarly journals Kindfull-Digital Character Book Effectiveness: A User Satisfaction Approach

2021 ◽  
Vol 26 (5) ◽  
pp. 491-500
Author(s):  
Azmi Fitriati ◽  
Subuh Anggoro ◽  
Sri Harmianto ◽  
Naelati Tubastuvi
Keyword(s):  
User Satisfaction ◽  
Interface Design ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Survey Method ◽  
System Quality ◽  
Perceived Satisfaction

This study aims to examine the effect of user competence on system quality and user satisfaction with the use of the kindfull-digital character book apps. The quality of the system is measured by indicators of flexibility and accessibility. Then, user satisfaction affected the acceptance of a system. Survey method with quantitative measurements were used. Respondents where users of the application include teachers’ and parents. Data were collected using a questionnaire. The analysis technique used is Structural Equation Modeling - Partial Least Square. The results showed that user competence had an effect on system quality. Then, competent users improve system quality. Furthermore, the quality of the system can increase user satisfaction. Satisfied users will always use IS. Thus, resulted monitoring will also be more accurate, complete and timely. Based on these results, were suggested to increase the user's knowledge and skills. So, the quality of the system will improve. The perceived satisfaction will increase their use. Then, application usage training is needed to improve their competence. Thus, the quality of the system can be improved through flexibility and accessibility. The app interface design should be made more user-friendly by providing simple features, compliant content accompanied by interested display.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

scholarly journals Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem

2021 ◽  
Vol 18 (19) ◽  
pp. 10069
Author(s):  
Zhiyuan Yu ◽  
Doudou Jin
Keyword(s):  
Technology Acceptance ◽  
Traffic Safety ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Connected Vehicle

With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent connected vehicle (ICV) integrated with sophisticated communication, caching, computing, and control techniques enhance the functionality of in-vehicle infotainment (IVI) and also provide more powerful telematic or entertainment choices in vehicular environment. The diverse needs of ICV users (e.g., drivers and passengers) can be satisfied during commuting and traveling. However, considering the limitations of transportation environment, the potential attitude and usage behavior for the upcoming ICV infotainment directly impacts on the traffic and road safety in sustainable cities. In this paper, we conduct an online and offline survey to investigate the key factors influencing the user attitude and intention of ICV infotainment, where the answers of a total of 502 valid respondents (i.e., IVI users) are collected in China. A conceptual technology acceptance model with the constructs of perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), consumer innovation (CI), and perceived risk (PR) is established, and then assessed via partial least square structural equation modeling. We find that the constructs of PU, PEOU, CI, and SI have a direct impact on attitude and usage intention, of which 46.8% and 73.4% of variance, respectively, are explained. The respondents show positive attitudes and higher usage intention towards the ICV infotainment. Although PR has insignificant path with attitude and intention, the driving experience moderation effect exists between PR and usage intention. We can see that ICV infotainment will become a trend in future transportation scenario. Through this survey, reference for traffic safety and usage norms will be provided to reduce the risky of public health issues (e.g., traffic accidents) in the context of ICV infotainment.

scholarly journals The Influence of Career Development, Competence, Work Motivation, Job Satisfaction, Against the Performance of Health Service Employees in Bintan Regency

2021 ◽  
Vol 3 (2) ◽  
pp. 59-66
Author(s):  
Putri Rahmawati ◽  
Verlina Y Kawangung ◽  
Didi Kurniadi ◽  
Faisal Husni
Keyword(s):  
Structural Equation ◽  
Work Motivation ◽  
Statistical Tests ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Survey Method ◽  
Service Employees ◽  
Analysis Techniques ◽  
Study Population

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. 

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