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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar YURISDIKSI : Jurnal Wacana Hukum dan Sains
Arofa
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Health Professions Law, Crime, Criminology & Criminal Justice Other

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Transformation of Dependent Rights In The Digital Era A Study In Electronic Implementation Waradatun Nafi’ah; Arofa; Andianita Nur Ilahiyah; Moh Basri; Ahmad Musadad
YURISDIKSI : Jurnal Wacana Hukum dan Sains Vol. 20 No. 4 (2025): March
Publisher : Faculty of Law, Merdeka University Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55173/yurisdiksi.v20i4.261

Abstract

The digitization of the dependent rights system is an innovation in land administration that aims to increase efficiency, transparency, and legal certainty in Indonesia. The implementation of Electronic Dependent Rights (HT-el) brings various benefits, such as a faster registration process, wider access, and minimal administrative errors compared to conventional systems. However, in its implementation, there are still various obstacles, such as limited technological infrastructure, low public digital literacy, and challenges in maintaining data security and user privacy. This study uses normative juridical methods, utilizing legal and conceptual approaches to examine the effectiveness of regulations regarding electronic liens. The findings of the study suggest that although HT-el has significant promise to improve land services, additional strategies are essential.  This includes strengthening regulations, improving infrastructure, and engaging with the community. These measures are necessary to ensure the optimal implementation of this system and to provide legal certainty for all stakeholders involved.
ANALISIS KEMAMPUAN REPRESENTASI MATEMATIS SISWA PADA PEMBELAJARAN MENDALAM MELALUI MODEL PROJECT BASED LEARNING (PJBL) Arofa; Najibufahmi, Muhamad
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 No. 03, September 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.61228

Abstract

Mathematical representation ability is an essential skill for understanding, presenting, and communicating mathematical ideas. This study aimed to describe the dominant type of mathematical representation, the level of students' mathematical representation ability, and the characteristics of students' mathematical representation ability in Deep Learning through the Project Based Learning (PjBL) model. This study employed a qualitative approach involving 33 tenth-grade students of class X-4 at SMA Negeri 1 Wiradesa in the 2025/2026 academic year. Data were collected through a mathematical representation test and interviews with six students representing visual, symbolic, and verbal representations. The data were analyzed using descriptive statistics and qualitative analysis of the test and interview results. The findings revealed that verbal representation was the most dominant type, with a percentage of 42.55%, followed by symbolic representation at 38.30%, and visual representation at 19.15%. The level of mathematical representation ability was categorized as high for verbal (87.50) and symbolic (86.11) representations, while visual representation was categorized as moderate (72.22). The characteristics of mathematical representation ability showed that students with visual representation were able to construct histograms using class boundaries, students with symbolic representation were able to correctly apply mathematical symbols, formulas, and procedures, and students with verbal representation were able to explain the solution process in a coherent and systematic manner, indicating that students had gone through the stages of understanding, applying, and reflecting in accordance with the principles of Deep Learning, namely mindful, meaningful, and joyful.
Co-Authors Ahmad Musadad Andianita Nur Ilahiyah Moh Basri Muhamad Najibufahmi Waradatun Nafi’ah