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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 5 Documents
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Search results for , issue "Vol. 1 No. 1 (2024): TechComp Innovations: Journal of Computer Science and Technology" : 5 Documents clear
Solving the Travelling Salesman Problem Using the PSO Optimization Mehr Ali Qasimi
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): 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.v1i1.20

Abstract

This article examines a potential solution to the well-known Travelling Salesman Problem (TSP), which is classified as an NP-hard problem. We also provide a theoretical synopsis of several approaches that have been employed to tackle this problem. A prominent example of a combinatorial problem is the traveling salesman problem (TSP). To address the fundamental PSO algorithm's premature convergence issue and stagnation behavior on TSP, a scout characteristic-based PSO algorithm is suggested.We address Particle Swarm Optimization (PSO), a member of the evolutionary methods class, and outline the methodology for applying PSO to the TSP. Among population-based metaheuristic optimization methods, Particle Swarm Optimization (PSO) is one of the most widely used. Scientific domains such as engineering, chemistry, medicine, advanced physics, and humanities have all effectively employed PSO. Numerous theoretical and empirical results on the convergence and parameterization of PSO versions have been produced as a result of the method's extensive investigation since its introduction in 1995. Hundreds of PSO versions have been developed. It is well recognized that population size has a significant impact on the effectiveness of metaheuristics; nevertheless, no comprehensive research has been done on the appropriate selection of PSO swarm size to date.Through the application of this approach, we examine the effects of various control settings. The ideal solution and the quality of the solution are contrasted.    
Pushing Boundaries: AI and Computer Science in the Era of Technological Revolution Achmad Varis Abdussalam; Ghifari Alif Auladi
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): 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.v1i1.22

Abstract

The advent of Artificial Intelligence (AI) has heralded a transformative era in Computer Science, revolutionizing various facets of technology. This paper explores the profound impact of AI on the field of Computer Science, delving into its advancements, innovations, and the potential future trajectory of technology. The primary objective of this paper is to elucidate the significant role of AI in shaping the landscape of Computer Science. Through comprehensive research and analysis, it aims to provide insights into the evolution of AI, its applications, and the implications for future technological developments. This study employs a library research approach, gathering information from academic journals, conference proceedings, books, and reputable online sources. By synthesizing existing literature and scholarly works, it seeks to construct a comprehensive overview of the advancements and innovations in AI within the realm of Computer Science. The findings reveal a dynamic and rapidly evolving field driven by AI technologies. From machine learning algorithms to neural networks and deep learning models, AI has revolutionized data analysis, pattern recognition, and decision-making processes. Moreover, AI-driven applications such as natural language processing, computer vision, and robotics have reshaped various industries, including healthcare, finance, transportation, and manufacturing. However, alongside these advancements come ethical considerations, privacy concerns, and challenges related to algorithmic biases and societal implications. Looking ahead, the future of technology promises further integration of AI into various domains, leading to unprecedented opportunities and challenges in the realm of Computer Science
Strategic Synergy: Integrating Business Management with Computer Science for Competitive Advantage Ahmad Nur Ihsan Purwanto; Athaya Abdan Hanif
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): 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.v1i1.23

Abstract

In today's digital age, the integration of business management principles with computer science and technology has become increasingly vital for organizations seeking sustainable growth and competitive advantage. This study delves into the multifaceted relationship between business management and computer science, exploring integration strategies, challenges, and the resultant implications. The objective of this research is to comprehensively analyze the integration of business management and computer science, shedding light on effective strategies, potential challenges, and the overall impact on organizational performance and innovation. This study adopts a library research approach, encompassing a thorough review of existing literature, scholarly articles, case studies, and industry reports. Information is gathered from reputable databases such as PubMed, IEEE Xplore, ACM Digital Library, and Google Scholar. The collected data are analyzed qualitatively to identify patterns, trends, and insights into the integration of business management and computer science. The findings of this research highlight various integration strategies employed by organizations to leverage computer science and technology for enhancing business management practices. These strategies encompass the adoption of data analytics, artificial intelligence, machine learning, blockchain, and other emerging technologies to streamline operations, optimize decision-making processes, and gain competitive advantage. Moreover, the study identifies challenges associated with integration, including data security concerns, skills gap, resistance to change, and ethical implications. Despite these challenges, successful integration initiatives have demonstrated significant improvements in organizational efficiency, innovation capability, and market positioning
Revolutionizing Business: The Role of AI in Driving Industry 4.0 Nabiel Syarof Azzaky; Atikah Salimah; Clarita Risma Saputri
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): 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.v1i1.24

Abstract

The urgency of this research lies in understanding the critical role of Artificial Intelligence (AI) in the rapidly evolving landscape of Industry 4.0. As businesses strive to remain competitive, AI's integration into industrial processes has become essential. The primary aim of this study is to examine how AI drives innovation and efficiency within Industry 4.0. Using a literature review methodology, this research synthesizes findings from existing studies to provide a comprehensive overview of AI's impact on various business sectors, including manufacturing, logistics, and supply chain management. The results reveal that AI significantly enhances operational efficiency, predictive maintenance, and decision-making capabilities. Moreover, the study identifies key challenges in AI implementation, such as data privacy and the need for skilled workforce, while also highlighting the vast opportunities for future advancements. This research underscores the importance of AI in achieving higher levels of customization, quality, and competitiveness, paving the way for sustainable business growth in the digital era
Emerging Trends and Challenges in Digital Crime: A Study of Cyber Criminal Tactics and Countermeasures Adam At Thur Jasson Cassidy; Anis Fuad; Muhammad Ulil Abshor As Shofy
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): 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.v1i1.25

Abstract

The rise of digital crime, particularly cybercrime, poses significant challenges to individuals, organizations, and societies worldwide. This study explores emerging trends and challenges in digital crime, focusing on the tactics employed by cybercriminals and the countermeasures developed to mitigate these threats. The urgency of this research lies in the increasing sophistication and frequency of cyberattacks, which threaten sensitive data, financial assets, and critical infrastructure. The objectives of this study are to analyze current trends in cybercrime, identify the most prevalent tactics used by cybercriminals, and examine effective countermeasures and strategies implemented by organizations and law enforcement agencies. This research adopts a literature review methodology, synthesizing findings from academic research, industry reports, and government publications. Key findings highlight the evolving nature of cyber threats, including phishing attacks, ransomware campaigns, and data breaches. Effective countermeasures include cybersecurity frameworks, incident response protocols, and technological advancements in threat detection and prevention. The study underscores the importance of ongoing research and collaboration among stakeholders to address the dynamic landscape of digital crime and safeguard digital ecosystems against emerging threats

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