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All Journal Technomedia Journal Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Startupreneur Business Digital (SABDA Journal) Journal of Computer Science and Technology Application
Anjani, Sheila Aulia
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Journal : Journal of Computer Science and Technology Application

 1 
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. 
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.
Software-Defined Networking: Revolutionizing Network Management and Optimization Maulana, Sabda; Anjani, Sheila Aulia; Sanjaya, Yulia Putri Ayu; S, Sondang Visiana; Sithole, Precious
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/g1as4162

Abstract

This study investigates the impact of Software-Defined Networking (SDN) on network management and optimization, comparing its performance to traditional networking approaches. Through a mixed-methods approach, including empirical experiments and expert interviews, the research demonstrates that SDN significantly enhances network performance by reducing latency, increasing throughput, and providing superior security management. The scalability of SDN was also confirmed, with the network efficiently handling an increasing number of devices without performance degradation. However, the study identified challenges in integrating SDN into existing infrastructures and the need for specialized skills to manage SDN environments effectively. These findings underscore the potential of SDN as a transformative technology in modern network management, while also highlighting areas where further research is needed to address integration and skill-related challenges.
Enhancing Network Security with Quantum Cryptography:A Study on Future-Proofing Computer Networks AgainstQuantum Attacks Supriati, Ruli; Purwanti; Anjani, Sheila Aulia; Anugrah, Rio Wahyudin; McCarthy, Ryan
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.58

Abstract

The rapid development of quantum computing presents a significant challenge to existing cryptographic systems, such as RSA and Elliptic Curve Cryptography, which rely on the complexity of mathematical problems for security. Shor’s algorithm, which can efficiently solve these problems, emphasizes the need for cryptographic solutions that are resistant to quantum threats. This study aims to investigate the potential of Quantum Cryptography, with a specific focus on Quantum Key Distribution (QKD), to strengthen network security in response to emerging quantum computing risks. Despite the theoretical potential of QKD, there remains a gap in its practical application, particularly in terms of scalability, high implementation costs, and sensitivity to environmental factors, which have hindered its widespread adoption. The novelty of this research lies in the comprehensive approach it takes, combining theoretical analysis of QKD protocols, simulations using Qiskit, and comparisons with traditional cryptographic methods. This provides a more robust understanding of QKD effectiveness in different network scenarios. The study reveals that the BB84 protocol consistently outperforms the E91 protocol in terms of key generation efficiency and noise resilience. However, despite its unmatched security capabilities, QKD faces challenges such as scalability and implementation costs. To overcome these challenges and achieve widespread adoption, integrating QKD with post quantum cryptography and developing hybrid approaches are essential. Quantum Cryptography, particularly QKD, holds the potential to become a cornerstone for securing critical infrastructure, ensuring communication security in the quantum era.
Co-Authors Anugrah, Rio Wahyudin Arthur Simanjuntak Bangun, Cicilia Sriliasta Bennet, Daniel Daeli, Ora Pertiwi Davies, Mary Farisha Andi Baso, Farisha Andi Irma Shantilawati Leffia, Abigail Martono, Dedi Marviola Hardini Maulana, Sabda McCarthy, Ryan Meilinda, Vivi Nuche, Asher Purwanti Qurotul Aini Rakhmansyah, Mohamad Ridwan , M Robert, Dariari Rodriguez, Marta Ruli Supriati, Ruli S, Sondang Visiana Sanjaya, Yulia Putri Ayu Sihotang, Sondang Visiana Sithole, Precious Sitorus, Santa Lusianna Sunarjo, Richard Andre Suri, Oryza Intan Sutarman, Asep Untung Rahardja Wijaya, Surta