Arif Andika
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Integrating Media and Technology in PAI Learning M. Sauqi Iza Masruri; Arif Andika
Journal of International Multidisciplinary Research Vol. 2 No. 5 (2024): Mei 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr448

Abstract

After the end of the Covid 19 epidemic in 2021, PAI learning is still seen as a boring lesson because there is still a lot of conventional use of the scavenger. It encourages PAI teachers to quickly transform using learning based on media and technology integration. The purpose of writing this article is to show the meaning of Media and technology integration in PAI learning that is useful in making PAI training that has been conventional to be innovative, creative and effective. The results of this research are: 1) Media and technology integration refers to the integration or integration of learning media and technology (application-application learning) either in the form of tools, materials, or other elements that help students in understanding learning materials. The main purpose of this integration is to facilitate students in receiving information/material in PAI learning. 2)Media and technology integration in PAI learning plays a role and function in combining media and technology with PAI subjects to improve quality and quality in the teaching process. 4) Factors driving the use of media and technology in PAI learning highlight the need for innovative and technology-based approaches to address the challenges of diversity, embrace the digital revolution, integrate religion and science, overcome the lack of PAI, and improve the curriculum component. 5) Real examples of the integration of media and technology through various types of applications such as Kahoot, youtube, whatsaap, flipbook and so on proved to have a huge influence and give positive impact sharing in the world of Islamic Religious Education.
Harnessing AI to Improve Operational Effectiveness and Strengthen Organizational Adaptability Rizky, Agung; Arifin, Ridwan; Arif Andika; Maria Daeli, Ora Plane; Hua, Chua Toh
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.129

Abstract

This study explores the dual role of Artificial Intelligence (AI) in improving operational effectiveness and fostering organizational agility, two critical factors for success in today’s dynamic business environment. By leveraging technologies such as machine learning, predictive analytics, and robotic process automation, organizations can streamline workflows, enhance cost efficiency, and enable data-driven decision-making. The research adopts a qualitative approach, analyzing case studies and expert insights to uncover key findings. Results indicate that AI implementation significantly enhances process speed, decision accuracy, and adaptability while reducing operational costs. However, challenges such as resistance to change, high implementation costs, and ethical concerns—particularly regarding data privacy—pose barriers to adoption. To address these, organizations must adopt strategic measures such as phased implementation, robust training programs, and ethical frameworks. The study introduces a conceptual model that illustrates AI's central role in driving efficiency and adaptability, supported by comparative performance metrics demonstrating tangible benefits. This research contributes to the broader understanding of AI’s transformative impact, emphasizing its potential as a catalyst for innovation and competitiveness. Furthermore, it provides practical recommendations for overcoming barriers to adoption, ensuring sustainable integration of AI technologies. By addressing both opportunities and challenges, the findings serve as a roadmap for organizations aiming to harness AI's full potential. Future research should focus on industry-specific applications and strategies to tailor AI adoption to unique organizational needs, thereby maximizing its impact across diverse sectors. This study concludes that AI is indispensable for organizations striving to thrive in a rapidly evolving digital landscape.