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All Journal Eduvest - Journal of Universal Studies Jurnal Sistem Informasi
M. Mushlih Ridho
University of Indonesia
Aerospace Engineering Computer Science & IT Health Professions Neuroscience Social Sciences

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Analyst’s Perception on the Use of AI-based Tools in the Software Development Life Cycle Rafi Giffari; M. Mushlih Ridho; Dana Indra Sensuse; Deden Sumirat Hidayat; Erisva Hakiki Purwaningsih
Jurnal Sistem Informasi Vol. 20 No. 1 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i1.1399

Abstract

Artificial Intelligence (AI) integration has been the goal in many industries, including in the software development industry. One example of this integration comes in the form of integrating AI in the Software Development Lifecycle (SDLC). To date, the difficulties of incorporating AI-based tools into particular phases of SDLC have not received much attention in research. Using qualitative approach, this study aims to discover the perception on the use of AI-based tools and challenges in integrating them in the analysis phase of SDLC. The study finds out that analyst have positive perception about integrating this technology in their field of work but there are some challenges while integrating this technology such as data security and reliability concern, dependency, and adapting to this technology. This study also discovers some key factors of why some analysts adopt or refuse this technology namely time, urgency, budget, and insecurities of the users.
Encouraging Knowledge Sharing Through Social Media: A Systematic Analysis of Drivers and Influences M. Mushlih Ridho; Cakra Wirabuana; Dana Indra Sensuse; Imairi Eitiveni; Deden Sumirat Hidayat; Sofiyanti Indriasari
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51117

Abstract

This study systematically investigates the dynamics of knowledge sharing on social media, focusing on identifying driving factors and their impacts. By employing a conventional literature review method and the PICOC structure, this research analyzed 73 studies from 2019 to 2024, revealing key insights into the role of social media in facilitating knowledge sharing. The findings categorize drivers into technological, social, motivational, knowledge-based, and organizational factors, each playing a significant role in enhancing or hindering knowledge sharing activities. The technological infrastructure and user-friendly interfaces, coupled with social dynamics, motivational incentives, the quality of knowledge, and organizational support, emerged as pivotal in propelling knowledge sharing. Conversely, challenges such as privacy concerns, information overload, and the threat of misinformation highlight the need for cautious optimization. This study contributes to the academic and practical understanding of knowledge sharing on social media, offering a foundation for future research and strategies to maximize its potential for innovation and organizational learning.
Co-Authors Cakra Wirabuana Dana Indra Sensuse Deden Sumirat Hidayat Erisva Hakiki Purwaningsih Imairi Eitiveni Rafi Giffari Sofiyanti Indriasari