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The Role of Buddhi Dharma University Academics in the Cultural Preservation of Kebaya House Lianah The; Limajatini Limajatini; Ruby Santomoko; Dian Anggraeni; Etty Herijawaty
Edumaspul: Jurnal Pendidikan Vol 9 No 1 (2025): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i1.8770

Abstract

The purpose of this study is to find out the extent of the role of the academic community of Buddhi Dharma University in preserving the culture of Rumah Kebaya as a form of participation in the procession of the celebration of the 12th anniversary of the Toa Pek Kong. This 12-year procession is a Chinese tradition at the Boen Tek Bio (BTB) Temple, Tangerang City. The Chinese Kebaya House is different from the Betawi Kebaya House. It is called Rumah Kebaya because this house has a roof shape that resembles a folded saddle and when viewed from the side the folds look like kebaya folds. Some of the remaining Kebaya Houses have undergone restoration due to the needs of their residents and developments over time. The research methods used are qualitative analysis, phenomena and ethnography, through in-depth interviews, direct observation, and documentation. The statements of five owners of traditional houses in Tangerang City can provide a conclusion about how important it is to preserve old houses as historical relics.
Integration of Artificial Intelligence in the Financial Sector Innovation, Risks and Opportunities Limajatini Limajatini; Suhendra Suhendra; Greian April Pangilinan; Muhammad Ghifari Ilham
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.165

Abstract

The integration of AI in the financial sector has inspired significant innovation while introducing new dynamics related to risks and opportunities. The rapid adoption of AI technologies has transformed operational, strategic, and analytical processes, creating substantial potential for growth alongside critical challenges. This study examines the transformative impact of AI on the financial sector, focusing on its innovative applications, associated risks, and opportunities. Key areas of exploration include the enhancement of operational efficiency, the development of innovative financial products, and the mitigation of risks through AIMLdriven solutions. A qualitative approach was employed, involving an extensive review of literature, industry reports, and regulatory frameworks. Thematic analysis was conducted to identify recurring patterns, while triangulation ensured the reliability of findings. Consultations with AI and financial experts further validated the study. The findings reveal that AI innovations, such as intelligent algorithms, big data analytics, and machine learning (ML), enhance operational efficiency, improve decision ML making processes, and strengthen market predictions. However, risks such as data security breaches, model uncertainty, and ethical concerns remain significant. Addressing these risks requires robust governance frameworks, ethical AI design, and compliance with evolving regulatory standards. By addressing risks and leveraging opportunities, the financial sector can optimize the transformative potential of AI, manage challenges effectively, and achieve sustainable growth. This study fills a critical gap in the literature by linking AI integration to practical implications for financial inclusion and risk mitigation, particularly in emerging markets and underserved communities.