Garuda - Garba Rujukan Digital

The Impact of Information Technology Support on the Use of E-Learning Systems at University Aan Kanivia; Hilda Hilda; Alfri Adiwijaya; Muhammad Faizal Fazri; Sabda Maulana; Marviola Hardini
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.166

E-learning technologies at educational institutions like University of Raharja are essential in enabling flexible and accessible education in this period of significant digital revolution. This study examines how Information Technology Support (ITS) affects user satisfaction, perceived usefulness, perceived ease of use, and intention to reuse concerning e-learning systems efficacy. Unlike prior Technology Acceptance Model (TAM) based studies, this research emphasizes the specific role of ITS dimensions, such as infrastructure and technical training, in non Western educational contexts. This provides unique insights for improving e-learning systems in higher education. This study assesses the reactions of 500 users of University of Raharja e-learning system using Structural Equation Modeling (SEM) with the PLS technique. Results indicate that perceived ease of use and perceived usefulness are greatly increased by strong ITS, which in turn has a beneficial effect on User Satisfaction and Intention to Reuse. This study aligns with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) by enhancing the accessibility and quality of education through e-learning systems, SDG 9 (Industry, Innovation, and Infrastructure) by emphasizing the importance of robust IT infrastructure and technical training, and SDG 10 (Reduced Inequalities) by addressing the digital divide in non Western educational settings. Additionally, ITSs SDG 17 (Partnerships for the Goals) by encouraging collaboration between educational institutions, technology providers, and policymakers to optimize e-learning outcomes. According to the study findings, ITS must be strengthened to maximize e-learning system performance, raise user happiness, and promote continuous usage.

The Impact of Information Technology Support on the Use of E-Learning Systems at University Aan Kanivia; Hilda Hilda; Alfri Adiwijaya; Muhammad Faizal Fazri; Sabda Maulana; Marviola Hardini
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.166

E-learning technologies at educational institutions like University of Raharja are essential in enabling flexible and accessible education in this period of significant digital revolution. This study examines how Information Technology Support (ITS) affects user satisfaction, perceived usefulness, perceived ease of use, and intention to reuse concerning e-learning systems efficacy. Unlike prior Technology Acceptance Model (TAM) based studies, this research emphasizes the specific role of ITS dimensions, such as infrastructure and technical training, in non Western educational contexts. This provides unique insights for improving e-learning systems in higher education. This study assesses the reactions of 500 users of University of Raharja e-learning system using Structural Equation Modeling (SEM) with the PLS technique. Results indicate that perceived ease of use and perceived usefulness are greatly increased by strong ITS, which in turn has a beneficial effect on User Satisfaction and Intention to Reuse. This study aligns with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) by enhancing the accessibility and quality of education through e-learning systems, SDG 9 (Industry, Innovation, and Infrastructure) by emphasizing the importance of robust IT infrastructure and technical training, and SDG 10 (Reduced Inequalities) by addressing the digital divide in non Western educational settings. Additionally, ITSs SDG 17 (Partnerships for the Goals) by encouraging collaboration between educational institutions, technology providers, and policymakers to optimize e-learning outcomes. According to the study findings, ITS must be strengthened to maximize e-learning system performance, raise user happiness, and promote continuous usage.

Leveraging Big Data Analytics for Strategic Marketing Optimization: Insights and Impacts Muhammad Faizal Fazri; Tarisya Ramadhan; Dwi Apriliasari; Dwi Julianingsih; Arabella Fitzroy
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.39

In the digital era, Big Data Analytics has emerged as a crucial tool for optimizing marketing strategies. This research explores the integration of Big Data into marketing, aiming to identify effective analytical techniques and their impact on marketing outcomes. The study utilized secondary data from various sources, including sales transactions, social media interactions, customer demographics, and web analytics. The analysis process involved data cleaning, integration, predictive modeling, clustering, sentiment analysis, and data visualization. The findings reveal that promotional campaigns and seasonal discounts significantly boost sales, with customer segmentation identifying three key groups: discount hunters, loyal customers, and occasional shoppers. Sentiment analysis shows positive customer feedback, though logistics-related issues warrant improvement. These results underscore the importance of targeted and personalized marketing strategies driven by data insights. The research contributes to marketing theories by providing empirical evidence on the effectiveness of Big Data Analytics in enhancing marketing strategies. Further research is recommended to explore its applicability across different industries, incorporate more diverse data sources, and utilize advanced analytical techniques to refine marketing strategies.

Analyzing Determinants of Consumer Purchasing Behavior toward Solar Panels in Indonesia Dadang Hermawan; Sipah Audiah; Muhammad Faizal Fazri; Ivan Kovac
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.709

The growing global emphasis on sustainable energy, combined with the relatively slow adoption of solar technology in Indonesia, underscores the necessity of understanding consumer purchasing behavior toward renewable energy products. This study aims to identify and analyze the determinants influencing consumer purchasing behavior toward solar panels in Indonesia using the SmartPLS approach. Data were collected through an online survey targeting individuals who are interested in or have previously purchased solar panels. The SmartPLS method was employed to examine the relationships among key variables, including perceptions of sustainability and environmental benefits, knowledge and information regarding solar panels, economic factors such as price and promotional strategies, and consumer demographic characteristics. The analysis revealed that sustainability perception, knowledge, and economic considerations significantly influence consumers purchase intentions. Furthermore, demographic variables such as age, income, and education were found to shape consumer attitudes and purchasing behavior. These findings offer valuable insights into the behavioral dynamics underlying solar panel adoption in Indonesia and provide practical implications for policymakers and industry stakeholders in designing effective marketing strategies and policy frameworks to accelerate renewable energy adoption nationwide.

Inclusive AI Interaction Framework for Enhancing Happiness and Care within Orange Technology Applications Adam Faturahman; Hamdan Hamdan; Muhammad Faizal Fazri; Untung Rahardja; Adele Vallery
Journal of Orange Technology Vol. 2 No. 1 (2025): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i1.32

This study introduces an Inclusive AI Interaction Framework designed to enhance happiness, emotional well-being, and compassionate digital care through the integration of emotion-aware algorithms, adaptive conversational models, and accessibility-centered interface design. The framework prioritizes inclusivity by addressing diverse user abilities, cultural backgrounds, and emotional states, ensuring that AI interactions remain fair, empathetic, and supportive for broad user groups, including vulnerable populations. The study aims to examine how personalized and affectively responsive AI interactions influence emotional comfort, perceived empathy, trust, satisfaction, emotional stability, and sustained engagement among diverse users. A quantitative research design was employed, using structured questionnaires, multimodal sentiment-based rating scales, and standardized World Health Organization WHO-5 well-being measures to evaluate user well-being. SEM was applied to validate the relationships among core constructs and assess the impact of inclusive AI design on affective outcomes. The analysis revealed significant positive effects of inclusively designed, emotion-sensitive AI systems on affective outcomes, including trust, satisfaction, emotional stability, and overall emotional comfort. The findings demonstrate that inclusively designed, emotion-sensitive AI systems can meaningfully elevate user well-being. This research provides empirically grounded design principles and practical insights for developing emotionally supportive, ethically aligned, and universally accessible AI solutions that contribute to more humane digital experiences.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search