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All Journal TechComp Innovations: Journal of Computer Science and Technology Societal Serve: Journal of Community Engagement and Services
Ghifari Alif Auladi
Universitas Ary Ginanjar. Indonesia
Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Social Sciences

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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
Orientation and Preparation for the Pre-Retirement Period (MPP) Addressed to the Labor Union of PT. Transjakarta Basuki Toto Rahmanto; Mariah; Dede Agus Supardi; Atep Supriadi; Aida Fajriyah; Bayu Gusti Pangestu; Claudina Santina Putra Pertiwi; Firman Adopati; Hana Nawal Ramadhanti; Reza Bagus Setiawan; Ghifari Alif Auladi
SocietalServe: Journal of Community Engagement and Services Vol 1 No 2 (2024): Societal Serve: Journal of Community Engagement and Services
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/societalserve.v1i2.42

Abstract

The Pre-Retirement Period (MPP) is a critical phase for individuals approaching the end of their careers, whether in government or private sectors. This study aims to enhance the understanding, knowledge, and preparedness of Transjakarta Labor Union members in facing the MPP. The approach includes educational seminars, observations, needs assessments, problem analysis, and the development of solutions covering psychological, health, financial, and post-retirement activity aspects. The program was implemented over three months (October–December 2023) using a participatory method involving Transjakarta Labor Union members through discussions, education, and practical training. Evaluations revealed improved awareness and readiness among participants for MPP challenges, demonstrated by their enthusiasm and questionnaire results indicating the program's benefits. The outcomes contribute to better individual preparedness for retirement, reduced anxiety, and the formulation of more comprehensive retirement strategies. The program's findings are intended for publication in a community service journal to achieve broader impact. Recommendations for program sustainability include more in-depth training and additional materials on psychology and technical aspects of retirement implementation.
Co-Authors Achmad Varis Abdussalam Aida Fajriyah Atep Supriadi Basuki Toto Rahmanto Bayu Gusti Pangestu Claudina Santina Putra Pertiwi Dede Agus Supardi Firman Adopati Hana Nawal Ramadhanti Mariah Reza Bagus Setiawan