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Journal of Computer Science and Technology Application
Published by Pandawan Sejahtera Indonesia
ISSN : 30467616     EISSN : 30643597     DOI : https://doi.org/10.33050
Core Subject : Science, Education,
Computer Science & IT Other
The Journal of Computer Science and Technology Application (CORISINTA) is an international, open-access journal dedicated to advancing Information and Communication Technology (ICT). CORISINTA publishes research in Artificial Intelligence, Big Data, Cybersecurity, and Computer Networks. Through its rigorous double-blind peer-review process, the journal ensures the highest standards of quality. CORISINTA actively supports the United Nations Sustainable Development Goals (SDGs), including SDG 9 (Industry, Innovation, and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 17 (Partnerships for the Goals).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 41 Documents
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Study of Student Satisfaction in Using the Moodle E-Learning System: PLS-SEM Approach Lansonia, April; Austin, Matthias; Beldiq, Eiser Aaron
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.4

Abstract

This research investigates the factors influencing student satisfaction in using the Moodle E-Learning system in a higher education environment. We apply the Structural Equation Modeling Partial Least Squares (SEM PLS) method to ex- plore the relationship between relevant variables, such as Moodle system quality, service quality, learning quality, level of system use, and student perceptions of their satisfaction. This research uses data collected from a sample of students who use Moodle as an E-Learning platform. The results of the SEM PLS analy- sis will provide insight into the influence of each variable on student satisfaction and how these factors are interconnected. The results of this research will help higher education institutions increase the use of Moodle as an effective online learning tool. In addition, the findings of this research will provide a deeper understanding of the critical elements that influence student satisfaction in the E-Learning context.
Predictive Analysis of Startup Ecosystems: Integration of Technology Acceptance Models with Random Forest Techniques Bennet, Daniel; Anjani, Sheila Aulia; Daeli, Ora Pertiwi; Martono, Dedi; Bangun, Cicilia Sriliasta
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.8

Abstract

In the dynamic realm of startup ecosystems, forecasting trends and measuring success pose significant challenges. To tackle this multifaceted issue, a novel research method proposes integrating the Technology Acceptance Model (TAM) with the robust Random Forest algorithm, thereby enhancing predictive accuracy. This innovative approach encompasses various aspects including technical intricacies, financial dynamics, stakeholder interactions, and entrepreneurial challenges. Employing empirical data, such as revenue growth, capital raised, innovation rate, and active users, forms the foundation of this methodology. The model’s efficacy is demonstrated through a process involving training on 80% of the dataset and testing on the remaining 20%, showcasing superior predictive capabilities compared to conventional methods. Comparative analysis with established models like logistic regression further highlights the superiority of the integrated TAM and Random Forest approach, particularly in predicting startup success. These findings offer invaluable insights for entrepreneurs navigating the complexities of the startup landscape, as well as for investors, policymakers, and educators. Understanding and supporting growth dynamics within the startup ecosystem can foster innovation and prosperity. Moreover, in the academic sphere, this research contributes a novel framework for startup prediction, enriching existing knowledge and facilitating informed decision-making. Overall, this research not only provides practical applications for immediate stakeholders but also contributes to advancing the theoretical foundations of startup prognostication, thus serving as a significant milestone in the field. 
iLearning Education Challenge: Combining the Power of Blockchain with Gamification Concepts Wijaya, Surta; Husain, Abigail; Laurens, Mackenzie; Birgithri, Andzelika
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.11

Abstract

The adoption of online learning in colleges as a response to the COVID-19 pandemic has profoundly influenced education. Knowledge acquisition dramatically depends on a person's interest and willingness to learn. A platform that fosters student motivation in effectively completing activity hours is required. The available learning strategies include collaborative and creative learning, which aim to attain successful graduation outcomes with the assistance of the Independent Campus program. This project aims to develop gamification strategies that enhance students' creativity, innovation, and interactivity by integrating principles of learning and play. Furthermore, blockchain-based learning platforms can be a regulatory mechanism for ensuring secure and pleasurable learning experiences while supporting esteemed educational institutions. By implementing gamification tactics in conjunction with blockchain technology, all devices linked to the network will be transformed into nodes or servers. This study employs agile development methodologies, namely iterative and incremental models, to design distributed storage blockchain algorithms. The GamiChain iLearning educational model, which incorporates gamification blockchain, is constructed using IPFS. GamiChain, a gamification blockchain, can effectively assist the Independent Campus initiative by providing students with the necessary resources to cultivate their potential and produce exceptional and successful graduates.
Analysis of User Perceptions on Interactive Learning Platforms Based on Artificial Intelligence Sana, Eirene; Fitriani, Anandha; Purwanti; Soetarno, Djoko; Yusuf, Maulana
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.12

Abstract

Education is one field that is increasingly adopting artificial intelligence (AI) technology in an effort to improve the learning experience. AI-based interactive learning platforms have become a significant trend in modern education. This research aims to analyze user perceptions of AI-based interactive learning platforms and identify factors that influence their acceptance of this technology. We conducted an analysis using the SmartPLS method to explore the relationship between variables that influence user perceptions of AI in education. Research data was collected through surveys given to educational participants using AI-based learning platforms. The results of this research include findings about the extent to which factors such as interaction quality, usability, and social factors influence user perceptions of AI-based learning platforms. The results of data analysis will provide valuable insight into how the educational community accepts and adopts AI technology in the learning process. It is hoped that this research will make a significant contribution to the understanding of the acceptance of AI technology in educational contexts, as well as provide guidance for the development of more effective interactive learning platforms. The findings of this research can also support decision making in implementing AI in educational settings.
Corporate Strategies to Improve Platform Economic Performance: The Role of Technology, Ethics, and Investment Management Leffia, Abigail; Anjani, Sheila Aulia; Hardini, Marviola; Sihotang, Sondang Visiana; Aini, Qurotul
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.14

Abstract

Amid the rapid growth of the platform economy, companies are feeling the pressure to adopt innovative technologies to improve their performance. Meanwhile, in an effort to achieve sustainable growth, ethical issues also arise that must be resolved. This research aims to investigate how the integration of technology and ethical principles can contribute to improving corporate performance in the platform economy environment. We explore how companies can overcome the dilemmas that arise when they adopt advanced technologies while also considering deep ethical aspects. This research methodology involves the SmartPLS approach to analyze the relationship between technological variables and ethical variables on company performance, involving 120 participants. It is hoped that the results of this research will provide valuable insight into how companies can optimize the use of technology while still adhering to strong ethical principles, with the aim of achieving superior performance in the competitive platform economy market. Thus, this research provides a significant contribution in understanding how companies can achieve sustainable excellence amidst changing economic dynamics.
Exploration of the Impact of Social Media on Children's Learning Mechanisms Smith, Emily; Santoso, Nesti Anggraini; Ar Romdhoni, Musyfiq amrullah; Azizah, Nur; Astuti, Eka Dian
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/v1n1.21

Abstract

In this study, we investigated the complex relationship between social media and children's learning processes during childhood. Although research on student responses to e-learning platforms in pediatric contexts continues to grow, there remains significant confusion regarding the factors that shape acceptance of e-learning conducted via social media applications. To fill this gap, our study analyzes the influence of social media practices, especially in the context of knowledge sharing, features, motivation, and social media use, on how children respond to e-learning systems. In this effort, we expanded the existing Technology Acceptance Model (MPT) to accommodate these factors. We also conducted a comprehensive survey involving 100 children and their parents as research participants. They participate by answering questionnaires, which provide valuable empirical data. Using the powerful SMART-PLS analysis technique, we perform a careful analysis of the extended model. The results of our empirical data analysis confirm that social media practices have a significant positive impact on Perceived Effectiveness (PU) and Perceived Ease of Use (PEOU) in the context of children's learning mechanisms. Our main findings emphasize the central role of PU and PEOU in influencing how children receive e-learning systems. In other words, this paper highlights the potential changes that social media practices can bring about in shaping the acceptance of e-learning systems, while contributing to our understanding of the interactions between social media, MPT factors, and e-learning acceptance in the context of educational programs children.
Optimizing Student Engagement and Performance usingAI-Enabled Educational Tools Mirdad, Khaizure; Daeli, Ora Plane Maria; Septiani, Nanda; Ekawati, Anita; Rusilowati, Umi
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.22

Abstract

Education is the primary pillar in the progress of modern society. With the development of artificial intelligence (AI) technology, its potential to advance the learning process has become a major focus. This research focuses on the integration of AI-based educational tools to enhance student engagement and academic performance. Through experimental design with a control group, students were divided into two groups: one using AI tools while the other followed conventional methods. Students from various educational levels participated in this research. Data were collected through questionnaires and academic evaluations to compare the outcomes between the two groups. Data analysis was conducted using SmartPLS, enabling the evaluation of the impact of AI tools on student learning. The results indicate that AI integration enables a more personalized and responsive approach to the unique needs of students. It is expected that AI technology in education will bring significant changes in how students engage and achieve academic success. This research expands the understanding of the potential of AI in improving the education process. The integration of AI technology in learning is a progressive step toward a more adaptive and effective education system, preparing students for success in an increasingly connected and complex world
Revolutionizing Logistics Business Models through Big Data and Blockchain: A Business Model Canvas Analysis Ainun Mutiara, Indah; Febriansyah, Yusuf; Kamal, Mustofa; Zainum Ikhsan, Ramzi; Williams, Tane
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.v1i2.28

Abstract

The world is moving quickly towards automation and digitalization in the modern era. This change is becoming crucial to corporate competitive strategies, especially in the logistics industry. The use of data in organizational decision-making is an essential aspect of this digital and automated environment. Several business sectors are implementing Big Data and Blockchain technologies to improve organizational capabilities by developing effective business processes. This inexorably affects the development of new business models that fit the changing global business landscape. The Business Model Canvas (BMC) is an effective tool for analyzing internal and external business model changes. A SWOT analysis of these business model transformations is necessary to explain the new business process changes further. First, the analysis shows that for businesses to function at their best, current technological advancements—particularly in Big Data and Blockchain—will continue to disrupt them. Second, there have been significant internal and external changes to intra- and inter-organizational relationships due to the implementation of Big Data and Blockchain. Thirdly, the benefits of Blockchain and Big Data technologies for business, especially logistics, can be further explained by SWOT analysis.
Optimizing Digital Marketing Strategies through Big Data and Machine Learning: Insights and Applications Andayani, Dwi; Madani, Muchlishina; Agustian, Harry; Septiani, Nanda; Wei Ming, LI
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.v1i2.29

Abstract

In the dynamic realm of digital marketing, the convergence of Big Data and machine learning has ushered in transformative changes, reshaping strategies through advanced data analytics and predictive modeling. This paper examines the pivotal role of these technologies in enhancing marketing practices, focusing on their impact on consumer targeting, engagement, and overall campaign effectiveness. By harnessing vast datasets and applying sophisticated machine learning algorithms, marketers can now predict consumer behavior with unprecedented accuracy, personalize marketing messages, and optimize operational strategies to maximize engagement and return on investment. Despite the profound advantages, the integration of these technologies raises substantial challenges, including data privacy concerns and the need for specialized skills. Through a mixed-methods approach combining quantitative data analysis and qualitative interviews, this study not only demonstrates the improved predictive accuracy and segmentation capabilities afforded by these technologies but also discusses the barriers to their full potential realization. The findings highlight a clear trajectory towards more data-driven, responsive marketing paradigms, suggesting a future where digital marketing strategies are increasingly informed by insights derived from Big Data and machine learning. This paper aims to provide a comprehensive overview of the current landscape and future potential of these transformative technologies in digital marketing.
Enhancing Cybersecurity Risk Management Strategies in Financial Institutions: A Comprehensive Analysis of Threats and Mitigation Approaches Kristian, Agus; Az-Zahra, Achani Rahmania; Hidayat, Farhan; Yadi Fauzi, Ahmad; Kallas, Evelin
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.v1i2.31

Abstract

This study investigates the cybersecurity risks faced by financial institutions, with a particular focus on identifying common threats, evaluating their impact, and assessing the effectiveness of risk management strategies. Utilizing a mixed-methods approach, data were collected from both primary and secondary sources, including expert interviews, surveys, and a review of academic and industry literature. The results highlight that phishing, ransomware, and malware are among the most prevalent threats, with email and websites being the primary attack vectors. The study also examines the significant financial and reputational impacts these threats pose. A case study of XYZ Bank demonstrates how a layered approach to cybersecurity, involving prevention, detection, response, and recovery strategies, can substantially reduce the frequency of cyber incidents. The findings emphasize the importance of continuous updates to security policies, regular employee training, and investment in advanced security technologies. The study concludes with recommendations for financial institutions to enhance their cybersecurity posture through comprehensive risk management strategies.

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