COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling

Mardiana, Novi; Farhansyah, Adam; Nurdiawan, Odi; Nurhayati, Lina; Risnanto, Slamet; Nurwathi,

doi:10.1109/tssa51342.2020.9310808

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…Exploring the demographic characteristics of the sample ( Figure 1 (a-b) it is possible to infer that students in their final year face more stress than the other undergraduate and postgraduate students. This result was also reached in previous research ( Tang et al, 2020 , Mardiana et al, 2020 ) justifying that students who are enrolled in the final year at university had short sleep durations which contributes more likely to experience Post-Traumatic Stress Disorder (PTSD) and symptoms of depression. Moreover, first-year students experienced more stress than final-year students in the Education stream.…”

Section: Discussionsupporting

confidence: 72%

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Causes of higher levels of stress among students in higher education who used eLearning platforms during the COVID-19 pandemic

Selvam¹,

Xavier²,

Kasinathan³

et al. 2023

Journal of King Saud University - Science

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Section: Discussionsupporting

confidence: 72%

“…Both social and health stress have equal impact on cognitive stress, while the stress from family was the factor that least contributed to cognitive stress. When students mitigate their stress levels from personal and academic environment , cognitive stress is largely relieved ( Tang et al, 2020 , Mardiana et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Causes of higher levels of stress among students in higher education who used eLearning platforms during the COVID-19 pandemic

Selvam¹,

Xavier²,

Kasinathan³

et al. 2023

Journal of King Saud University - Science

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“…Three indicators are utilized to examine the outer model: internal consistency, convergent validity, and discriminant validity. While for the structural model, index values of R 2 and Q 2 are used after the collinearity test and the significant level of the path coefficients carried out [10].…”

Section: Pls-semmentioning

confidence: 99%

Constructing and Optimizing an Evaluation Model for the Implementation of Electronic Voting: An Indonesian Case Study

Risnanto,

Mohd,

Hafeizah

et al. 2023

MMEP

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In 2024, Indonesia is poised to conduct a significant national event -the simultaneous general election for both presidential and local leadership positions. Historically, manual voting has been the method of choice since the inaugural election in 1955. However, as Indonesia prepares for future electoral exercises, the potential adoption of electronic voting systems is a consideration that merits comprehensive investigation, given the nation's expansive geographical spread and substantial population, which presents considerable challenges in executing any election. Despite several countries previously implementing electronic voting systems in their general elections, these cases have often culminated in failure, primarily due to concerns surrounding data security, public trust, and technological preparedness. This study, employing the structural equation modelling-partial least squares (SEM-PLS) approach, endeavors to evaluate the multifarious factors that could influence the successful deployment of an electronic voting system in Indonesia. The findings reveal that dimensions such as trust in government, technology, and electoral commissions; technological infrastructure; human resources; and constitutional readiness all significantly contribute to the potential success of electronic voting system implementation. These results are anticipated not only to inform the development and application of electronic voting in Indonesia, but also to provide a foundational platform for future research efforts dedicated to constructing a robust and effective electronic voting framework.

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“…Semenjak Covid-19 dinyatakan sebagai pandemi tahun 2020 oleh World Health Organization (WHO), Kementerian Pendidikan dan Kebudayaan mengambil kebijakan proses pembelajaran di rumah secara daring di lembaga pendidikan. Pada tahun 2021 pemerintah mengeluarkan kebijakan baru melalui Surat Keputusan Bersama Menteri Pendidikan dan Kebudayaan, Menteri Agama, Menteri Kesehatan, dan Menteri Dalam Negeri tentang Panduan Penyelenggaraan Pembelajaran, kebijakan ini meupakan tindak lanjut dari penerapan pembelajan jarak jauh sepanjang pandemi Covid-19 [1]. Penerapan jaga jarak memaksa semua orang dalam seni pertunjukan untuk merangkul pedagogi yang tidak dikenal, di mana pengajaran tatap muka tradisional digantikan oleh pembelajaran semuanya berjalan online.…”

Section: Pendahuluanunclassified

Prediksi Hasil Belajar Hybrid Menggunakan Artificial Neural Network Dengan Multilayer Perceptron

Anwar

Kurnia²,

Faqih³

et al. 2022

Jur. Ris. Kom.

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The implementation of online distance learning affects the psychosocial aspects of students so that a combination of offline and face-to-face learning is carried out using Hybrid Learning. The problem in this research is the analysis of the competencies that will be generated, student characteristics, face-to-face interactions, online learning strategies, and lecturers by calculating the data from the Hybrid Learning evaluation to get the best level of accuracy using the Machine Learning technique method. The purpose of this study is to evaluate the results of Hybrid learning using the Artificial Neural Network (ANN) method which is expected to have the right level of accuracy and prediction and tolerate errors so that it can produce good predictions and can be used to model good relationships in finding patterns in the data. . Prediction of Hybrid Learning learning outcomes during the Covid 19 pandemic using Machine Learning techniques consisting of 12 attributes with a total of 1,231 datasets of Hybrid Learning learning outcomes in 2022. The Artificial Neural Network algorithm model uses Retrive operators, Set Roles, optimization parameters, Cross Validation, Apply Models, Performance and Logs. Accuracy results show 99.35% meaning that the results of the learning evaluation using Hybrid Learning with predictions that match and turn out to be appropriate are 1039, then those that do not match are 8. The predictions are very suitable and turn out to be very suitable in 104. Artificial Neural Network with Multilayer Perceptron, with two hidden layer and the format of the first hidden layer is 2 nodes, then the second hidden layer is 5 nodes with an output of 3 nodes

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COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling

Cited by 3 publications

References 18 publications

Causes of higher levels of stress among students in higher education who used eLearning platforms during the COVID-19 pandemic

Causes of higher levels of stress among students in higher education who used eLearning platforms during the COVID-19 pandemic

Constructing and Optimizing an Evaluation Model for the Implementation of Electronic Voting: An Indonesian Case Study

Prediksi Hasil Belajar Hybrid Menggunakan Artificial Neural Network Dengan Multilayer Perceptron

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