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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi Prosiding Seminar Nasional Indonesia
Dea Valentina
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Humanities Computer Science & IT Social Sciences Other

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KAJIAN PUSTAKA TENTANG HUKUM ADAT SEBAGAI SUMBER HUKUM TIDAK TERTULIS DAN PENGARUHNYA TERHADAP TATA NILAI SOSIAL Rengga Yudha Santoso; Dea Valentina
Prosiding Seminar Nasional Indonesia Vol. 3 No. 1 (2025): Prosiding Seminar Nasional Indonesia
Publisher : CV. Adiba Aisha Amira

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Abstract

This study aims to analyze the existence of customary law as an unwritten legal source and its influence on the social value system within Indonesian society. Using a qualitative approach and a systematic literature review design, this research identifies and reviews Scopus-indexed and reputable scholarly literature discussing living law, legal pluralism, and social norms embedded in customary communities. The findings reveal that customary law functions as a living law rooted in cultural values and collective beliefs, playing a significant role in shaping social norms, maintaining harmony, and strengthening community cohesion. Compliance with customary law is moral and social in nature, driven by collective awareness and cultural legitimacy rather than formal sanctions. Furthermore, customary law embodies social values such as mutual cooperation, deliberation, and communal justice, serving as the moral foundation of society. However, its existence faces challenges from the dominance of positive law and modernization; thus, a legal pluralism approach is needed to acknowledge normative diversity and integrate customary law into the national legal system. This study emphasizes the importance of recognizing customary law within national legal policy to build an inclusive, contextual, and socially just legal system.
Knowledge Discovery System and Their Challenges in Property Company: A Systematic Literature Review Erisa Rizkyani; Dea Valentina; Jonathan Sofian Lusa; Nadya Safitri
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 9 No. 1 (2026): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v9i1.55838

Abstract

In the era of digital transformation and data-driven decision-making, property companies are increasingly challenged by the complexity of managing vast, diverse, and unstructured data. Knowledge Discovery Systems (KDS) have emerged as vital tools for extracting valuable insights to support strategic functions such as property valuation, market analysis, and urban planning. This paper aims to investigate the trends and challenges in implementing KDS in property companies through a Systematic Literature Review (SLR) using the PRISMA framework. A total of 23 relevant publications from 2020 to 2025 were reviewed. The study finds that KDS applications span from real estate price prediction using machine learning to knowledge representation using semantic models. However, the implementation of KDS still faces significant barriers such as limited interdisciplinary collaboration, poor data quality, domain-specific constraints, and resistance to technological adoption. The results of this review contribute to a better understanding of how KDS can be effectively utilized in the property sector. It also highlights the need for future research to improve system adaptability, model explainability, and integration with domain knowledge to foster more intelligent, data-driven organizations
Co-Authors Erisa Rizkyani Lusa, Sofian Nadya Safitri Rengga Yudha Santoso