Journal
Data Protection Impact Assessment Indicators in Protecting Consumer Personal Data on E-commerce Platforms
The Indonesian Journal of International Clinical Legal Education · Vol. 6 No. 1 (2024) · pp. 111–150
- ISSN
- 2721-8368
- Published
- 2024-05-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Efforts to protect consumers' personal data on e-commerce platforms can be carried out by conducting a Data Protection Impact Assessment. This article discusses the indicators of the execution of Data Protection Impact Assessment by pivoting on the rights of personal data subjects based on Law Number 27 of 2022. This research uses a library research method by focusing on legal materials so that it can be said to be library based. The results show that Data Protection Impact Assessment is explained in Article 34 paragraph (1) of Law Number 27 of 2022 concerning Personal Data Protection which is then further regulated through Government Regulations as mandated by Article 34 paragraph (3). However, the Government Regulation relating to this matter has not yet been ratified, so it still refers to the mandate of Law Number 27 of 2022. This Data Protection Impact Assessment indicator can refer to Article 16 paragraph (2), Article 34 paragraph (1) and (2), Article 35, Article 20 paragraph (2), and Article 27 of Law Number 27 Year 2022. In terms of Data Protection Impact Assessment indicators as the protection of consumer personal data on e-commerce platforms, it can refer to the mandate that explains the rights of personal data subjects and their limitations in a separate article and the form of personal data processing as mandated by Article 34 paragraph (2) of Law No. 27 of 2022.
Keywords
Collaboration network of the authors
40 authors · 121 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| R Benny Riyanto | Affiliation unknown | 9 |
| Ridwan Arifin | Affiliation unknown | 9 |
| Adinda Zeranica Putri Fakhis | Affiliation unknown | 6 |
| Niken Diah Paramita | Affiliation unknown | 6 |
| Karsinah Karsinah | Affiliation unknown | 5 |
| Chatila Maharani | Affiliation unknown | 4 |
| Maylia Pramono Sari | Affiliation unknown | 4 |
| Anisa Okta Viana | Affiliation unknown | 4 |
| Rizky Andeza Prasetya | Affiliation unknown | 4 |
| Duhita Driyah Suprapti | Affiliation unknown | 3 |
| Akbar Jihadul Islam | Affiliation unknown | 2 |
| Abdullah Mufti Abdul Rahman | Affiliation unknown | 2 |
| Aprila Niravita | Affiliation unknown | 2 |
| Rio Taufik Ansori | Affiliation unknown | 2 |
| Saniya Puspitasari | Affiliation unknown | 2 |
| Vira Azra | Affiliation unknown | 2 |
| Asmarani Ramli | Affiliation unknown | 2 |
| Natasya Fitri Dewanti | Affiliation unknown | 2 |
| Salisa Widyaning Kinasih | Affiliation unknown | 2 |
| Siti Hafsyah Idris | Affiliation unknown | 2 |
| Anggun Meinanda Maharani | Affiliation unknown | 2 |
| Martitah Martitah | Affiliation unknown | 2 |
| Bearlly Deo Syahputra | Affiliation unknown | 2 |
| Muhammad Hilmi Naufal Aflah | Affiliation unknown | 2 |
| Anisa Tussaleha | Affiliation unknown | 2 |
| Mahima Umaela Firdhausya | Affiliation unknown | 2 |
| Septhian Eka Adiyatma | Affiliation unknown | 2 |
| Muhammad Iqbal Baiquni | Affiliation unknown | 2 |
| Atha Difa Saputri | Affiliation unknown | 2 |
| Riki Julianto | Affiliation unknown | 2 |
| Bintang Rafli Ananta | Affiliation unknown | 2 |
| Souad Ahmed Ezzerouali | Affiliation unknown | 2 |
| Alamul Fikri Al Farouq | Affiliation unknown | 1 |
| Dian Farah Syarifah | Affiliation unknown | 1 |
| Sunu Herawan | Affiliation unknown | 1 |
| Edgina Belva | Affiliation unknown | 1 |
| Asa Faradiba Hilmi | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.