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Urgency of Targeted Advertising Transparency Regulation: A Comparative Study of the EU’s Digital Services Act and Indonesian Law Sabina, Raisha Nurfairuz; Rosadi, Sinta Dewi; Priowirjanto, Enni Soerjati
Journal of Law, Politic and Humanities Vol. 5 No. 5 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i5.1883

Abstract

This research will discuss the urgency to regulate the transparency obligation of targeted advertising. Being the most popular method of marketing in today’s digital era, targeted advertising continuously becomes a target of controversy among consumers. Concern over targeted advertising ranges from the data collection process to how it is targeted towards consumers. This creates uncertainty among consumers due to the opacity of targeted advertising algorithms. Through a normative juridical method, this research will examine the adequacy of Indonesia’s regulations in addressing the issue of targeted advertising, ranging from the Consumer Protection Law, EIT Law, PSTE Regulation, and PMSE Regulation compared to the European Union’s Digital Services Act. This study will further discuss the urgency to comprehensively regulate the transparency of targeted advertising
Implementasi Pelindungan Data Pribadi Berupa Nomor Induk Kependudukan (NIK) dan Nomor Pokok Wajib Pajak (NPWP) pada Sistem Pemerintahan Berbasis Elektronik Menurut Undang-Undang Nomor 27 Tahun 2022 Tentang Pelindungan Data Pribadi Rahmawati, Deva Sinta; Rosadi, Sinta Dewi; Cahyadini, Amelia
Media Hukum Indonesia (MHI) Vol 3, No 2 (2025): June
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15857274

Abstract

Pelindungan data pribadi terhadap integrasi data antar instansi pemerintah menjadi langkah strategis guna meningkatkan efisiensi layanan publik yang kolaboratif, aman, dan akuntabel. Penelitian ini membahas implementasi pelindungan data pribadi dalam konteks integrasi data dengan mengacu pada prinsip-prinsip yang diatur dalam Undang-Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi, meliputi kewajiban hukum pengendali data, optimalisasi lembaga pengawas, serta mekanisme keamanan dan penanganan  terhadap insiden kebocoran data terhadap data yang terintegrasi berdasarkan konsep Whole of Government. Namun, proses ini menimbulkan tantangan serius dalam pelindungan data pribadi karena belum adanya mekanisme tata kelola yang kuat serta harmonisasi regulasi terhadap keamanan informasi yang bersifat lintas instansi. Hal tersebut menjadi urgensi bagi pemerintah untuk segera merumuskan regulasi yang memuat mekanisme tata kelola keamanan informasi, pengawasan serta penanganan terhadap data terintegrasi antar instansi dan penguatan lembaga pengawas independen guna menegakkan standar pelindungan data serta mengkoordinasikan keamanan informasi, sesuai dengan amanat UU PDP. Dalam penelitian ini, penulis menggunakan metode yuridis normatif dengan pendekatan deskriptif analitis, serta pengumpulan data melalui studi kepustakaan dengan mengkaji Peraturan Perundang-Undangan yang berlaku serta Standar Operasional keamanan informasi dari instansi terkait, dan wawancara semi-terstruktur.
DATA GOVERNANCE FOR ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN THE FINANCIAL SECTOR: AN INDONESIAN PERSPECTIVE Damaris, Regina; Rosadi, Sinta Dewi; Bratadana, I Made Diyosena
Journal of Central Banking Law and Institutions Vol. 4 No. 3 (2025)
Publisher : Bank Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21098/jcli.v4i3.430

Abstract

The fast-evolving landscape of Artificial Intelligence (AI) is transforming industries worldwide, including Indonesia’s financial sector. While AI presents immense opportunities for innovation and efficiency, it also poses complex challenges in data governance. This paper explores the need for Indonesia to establish a comprehensive and forward-thinking data governance framework tailored to AI implementation in the financial sector. Using a literature review method and drawing on global and local regulatory developments, the paper outlines key principles for AI-related data governance, including transparency, accountability, specificity, enforceability, and adaptability. By reimagining its approach to data governance, Indonesia can mitigate the risks of data misuse, enhance personal data protection, and foster an environment conducive to responsible AI innovation. The research addresses the foregoing issues by offering a conceptual foundation for policymakers, regulators, and financial institutions in Indonesia to develop better rules and practices for managing AI-related data to strengthen Indonesia’s technological sovereignty, particularly in the financial sector. The study finds that Indonesia’s current data governance framework in the financial sector is not yet optimal for supporting AI implementation. Indonesia’s data governance framework requires adjustments in key areas, namely specificity, enforceability, and adaptability, while also promoting stronger cooperation among stakeholders.