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TechComp Innovations: Journal of Computer Science and Technology
Published by Yayasan Mabadi Iqtishad Al Islami
ISSN : 30628903     EISSN : 3062889X     DOI : https://doi.org/10.70063
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management
TechComp Innovations: Journal of Computer Science and Technology is a premier scholarly publication dedicated to advancing knowledge and understanding in the rapidly evolving field of computer science and technology. The journal serves as a platform for researchers, academics, engineers, and practitioners to disseminate cutting-edge research findings, innovative technologies, and practical applications in various areas of computer science and technology. With a focus on fostering interdisciplinary collaboration and promoting excellence in research and development, TechComp Innovations covers a wide spectrum of topics, including but not limited to artificial intelligence, machine learning, computer vision, cybersecurity, data science, cloud computing, software engineering, and Internet of Things (IoT). Each issue of TechComp Innovations features high-quality, peer-reviewed articles that present original research contributions, theoretical insights, experimental studies, and practical implementations. The journal strives to publish research that pushes the boundaries of knowledge in computer science and technology, addresses significant challenges, and contributes to the advancement of the field. By providing a platform for scholarly discourse and knowledge exchange, TechComp Innovations aims to foster innovation, inspire collaboration, and drive technological progress in both academia and industry. TechComp Innovations welcomes submissions from researchers and practitioners worldwide, offering a forum for the dissemination of new ideas, methodologies, and technologies. Through its publication, the journal aims to facilitate dialogue, stimulate critical thinking, and promote the adoption of cutting-edge solutions to address real-world problems. Ultimately, TechComp Innovations endeavors to be a leading resource for researchers, professionals, and students interested in the latest developments and trends in computer science and technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Interaksi Komputer-Manusia
Articles 15 Documents
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AI-Powered Frameworks for the Detection and Prevention of Cyberbullying Across Social Media Ecosystems Mondol, Md. Anas; Uddaula, Md. Ashaf; Hossain, Md. Safaet; Siddika, Mst. Ayesha
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 1 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i1.59

Abstract

This study presents an advanced AI-powered framework to detect and prevent cyberbullying across diverse social media platforms using a multiclass classification approach. Addressing the growing complexity and linguistic diversity of online abuse, the research integrates various machine learning (RF, LR, SVM) and deep learning (Bi-LSTM, BERT) models trained on a balanced dataset covering bullying categories based on religion, age, ethnicity, gender, and neutral content. Data preprocessing, tokenization, feature extraction via TF-IDF and CountVectorizer, and class balancing using SMOTE were applied to enhance model accuracy. The proposed system further supports real-time detection through social media APIs, offering dynamic monitoring and intervention capabilities. Among the tested models, Random Forest and BERT achieved the highest classification performance with 94% accuracy. Despite its robust architecture, limitations include dependence on English-language datasets, exclusion of multimodal data (e.g., memes, audio), and API restrictions that challenge scalability. Future development will focus on incorporating vision-language models and optimizing the system for real-time, multilingual, and multimodal environments. This study contributes to digital safety efforts by proposing a scalable and adaptive detection system suitable for safeguarding users from evolving forms of online harassment.
Managing Digital Economic Corridors: International Cooperation and Regional Integration in the Digital Age Rifqi Prasmanto, Jundullah; Ma’ruf, Anang; Fathurrahman Assidiq, Muhammad; Faiz Diyaulhaq, Muhammad
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 1 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i1.63

Abstract

This study explores the complexities of managing Digital Economic Corridors (DECs) within the framework of international cooperation and regional integration. It highlights the necessity of multi-level governance structures that coordinate national, regional, and international stakeholders to ensure effective corridor management. The research identifies critical challenges including policy misalignment, regulatory fragmentation, digital sovereignty conflicts, and significant capacity gaps in developing countries. Public–Private Partnerships (PPPs) are underscored as key drivers of infrastructure development, but require robust oversight to ensure inclusivity and accountability. The study emphasizes that digital sovereignty issues complicate multilateral cooperation by creating competing regulatory regimes and geopolitical tensions. Moreover, capacity limitations in developing nations impede equitable participation in DECs, necessitating sustained international support in digital literacy, policy development, and institutional strengthening. Ultimately, the findings suggest that balanced governance, harmonized regulations, and inclusive capacity-building are essential to unlocking the full potential of DECs as instruments for regional economic growth and digital integration.
Bridging Cybersecurity and Enterprise Risk Management in the Digital Era Setiawan, Agung; Mufti, Ahmad; Aijat Mau, Fajli; Purkoni, Ahmad; Setiawan, Agus
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 1 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i1.66

Abstract

This paper explores the strategic integration of cybersecurity into enterprise risk management (ERM) frameworks to enhance digital resilience in modern organizations. Drawing on a qualitative library research method, the study synthesizes literature, models, and case analyses to identify best practices and governance structures that align technical cybersecurity measures with broader organizational goals. The research reveals that treating cybersecurity as an isolated IT function weakens risk visibility and incident response, while embedding it within ERM enables proactive identification, prioritization, and mitigation of cyber risks. The study highlights challenges such as the communication gap between IT teams and senior leadership, lack of standardized cyber-risk metrics, and siloed governance structures. It proposes cross-disciplinary collaboration, integrated risk frameworks (e.g., ISO 31000, NIST), and metrics-driven decision-making as essential components of effective cybersecurity governance. Although conceptual in nature, the findings emphasize the urgent need for cohesive, strategic, and metric-informed approaches to managing cyber threats. Future research should prioritize empirical validation, industry-specific adaptations, and development of standardized cyber-risk indicators to support evidence-based investment and board-level accountability in cybersecurity governance.
Managing Machine Learning Integration in English Language Curriculum: Challenges and Innovations in Teacher Training Zailani Iman, Muhammad; Monic Veronica, Ayu; Airlangga Asis, Alfian
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 1 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i1.91

Abstract

The integration of machine learning (ML) into English language teaching is gaining traction due to its potential to support personalized learning and increase student engagement. However, its implementation presents critical challenges. Many educators lack the pedagogical training needed to use ML tools effectively, such as adaptive learning platforms and automated assessment systems. Institutional approaches often remain fragmented and reactive, offering limited support, vague curricular links, and few opportunities for collaboration. Ethical concerns—such as data privacy, algorithmic bias, and diminished teacher autonomy—further complicate the adoption process. This study employs a qualitative library research method to examine recent literature on ML in English education and teacher preparation. Results emphasize the need for inclusive training strategies, including blended learning, mentorship, and AI-focused modules, that enable teachers to use ML tools thoughtfully and ethically. Yet these efforts are still limited in reach, highlighting the importance of systemic reforms that ensure ethical and equitable ML integration across diverse educational contexts.
Cybersecurity and Moral Responsibility: A Philosophical-Islamic Approach to Digital Trust Alif Auladi, Ghifari; Muwahid, Fathan
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 1 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i1.93

Abstract

The dominance of Western-centric norms in cybersecurity ethics presents a significant gap in addressing the moral and cultural realities of diverse societies, particularly those in the Muslim world. This paper proposes a decolonial and culturally inclusive framework by integrating Islamic ethical philosophy into the discourse on cybersecurity. Drawing on key Islamic concepts such as amanah (trust), ‘adl (justice), and niyyah (intention), the study explores how these values can inform ethical decision-making in digital environments. Through a philosophical-theological approach, it critiques the assumption of value neutrality in technology and highlights the moral agency and accountability embedded in Islamic metaphysics. The findings underscore the necessity of ethical pluralism and call for a global digital ethics that is both morally substantive and culturally responsive. Ultimately, the study contributes to the development of a more holistic and spiritually informed cybersecurity paradigm that resonates with the ethical traditions of Muslim-majority contexts.

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