Skip to main content

CATFISHING DALAM PERSPEKTIF HUKUM POSITIF INDONESIA

Atika Zahra Nirmala ; Ayu Riska Amalia ; Nunung Rahmania ; Zahratul’ain Taufik (2023) — Jurnal el-Qanuniy Jurnal Ilmu-Ilmu Kesyariahan dan Pranata Sosial

Citation activity

Total citations · Google Scholar
Unavailable
Average per calendar year
Citation count unavailable

Counts reflect Google Scholar’s coverage and do not measure research quality. Source, calculation and limitations

What do these research terms mean?
Preprint
A manuscript shared before formal peer review and publication. Check whether a later published version is available.
Dataset
A collection of data or examples for others to inspect or reuse. It can appear in Library search and topic mapping, but RSRC does not use dataset records as evidence in Research Insights.
Dissertation or thesis
Research submitted for an academic degree. This describes its format, not its reliability.
Journal article
An article published in a journal. This label alone does not establish peer review, study quality, or how well the findings apply elsewhere.
Qualitative research
Examines experiences, meanings, or processes, often through interviews or observations. It can explain how something happens without estimating how common it is.
Quantitative research
Uses numerical measurements to describe patterns or test relationships. A relationship between two measurements does not by itself show that one causes the other.
Systematic review
Uses a planned, documented method to find and assess research addressing a question. Its conclusions still depend on the included studies and what the search covered.
Meta-analysis
Statistically combines results from multiple studies. Combining studies does not remove weaknesses in their design or make unlike populations interchangeable.
Not classified
This record has no recognized label in this filter. It does not mean the publication used no method, or that no research exists.

Definitions draw on DataCite resource types; Cochrane review methods; NLM: association and causation. RSRC’s dataset and classification rules are explained in our methodology.

Citation tools


              
              

Transparency

Evidence and review status

This page contains AI-generated content. No human content review or subject-matter-expert review is recorded.

Source basis
Downloaded PDF
Source updates
No notice found at last check
AI-generated page content
Yes
Automated checks
Passed
Administrative approval
Yes
Human content review
Not recorded
Subject-matter-expert review
Not recorded
How this was prepared
Source basis

RSRC downloaded and privately stored a copy of the paper for internal analysis. The PDF is not offered to viewers from this page.

  • PDF added to RSRC:
Source updates

No incoming update notice was found in the dated Crossref response. Coverage is incomplete, particularly for corrections and expressions of concern; this is not a guarantee that the source is valid or unchanged.

  • Last source-status attempt:
AI-generated page content

AI-generated research notes displayed on this page: Synopsis, Identified gaps, Methods, Limitations, Future work. The paper itself is not described as AI-generated.

  • Document analysis recorded:
  • Synopsis generation recorded:
  • Page record updated:
Automated checks

The current, source-bound synopsis passed the recorded versioned publication checks.

  • Checks completed:
View passed checks (3)
  • Length, completeness, repetition, refusal, boilerplate, and active-markup screening
  • Numerical claims checked against the available source text
  • English-source lexical grounding check
Administrative approval

An authenticated administrator approved the bibliographic record for public Library display. This is not a review of every research claim.

  • Approved for public display:
Human content review

No human review is recorded for the AI-generated content displayed on this page.

Subject-matter-expert review

RSRC has not recorded review of this content by a subject-matter or methods expert.

Review-state definitions
Found a possible error? Request a correction.

Synopsis

This neutral synopsis summarizes the publication Catfishing dalam Perspektif Hukum Positif Indonesia (2023) by Atika Zahra Nirmala, Ayu Riska Amalia, Nunung Rahmania, and Zahratul’ain Taufik. The study undertakes normative juridical analysis to examine how catfishing is treated within Indonesia’s positive law, using statutory and case-law approaches and descriptive qualitative methods. It frames catfishing as a cyberspace fraud that relies on a fake or stolen identity to cultivate a romantic or emotional relationship, with the objective of extracting money or goods from the victim. The authors also situate catfishing within broader cybercrime dynamics, noting its emergence alongside rapid technological growth and pervasive social media use. In their discussion, the authors argue that Indonesia, at the time of writing, does not have a dedicated cyber-law statute specifically for catfishing, but that catfishing can be addressed under existing provisions. They analyze Penipuan (fraud) under KUHP, particularly Article 378, and the Information and Electronic Transactions Law (UU ITE, Law No. 19/2016 as amended)—specifically Article 35 in conjunction with Article 51(1). The paper also considers the newer KUHP draft (Article 492) and its parallels to the traditional fraud elements, highlighting that the new formulation retains core elements such as using a false name or position, employing deceit, and inducing the victim to part with goods or money. The authors illustrate these points with Indonesian cases and parliamentary notes, and they cite international and doctrinal sources to illuminate the definitional scope of catfishing and related deceit. The study emphasizes two primary victim groups and describes modus operandi such as initiating contact via calls, video chats, or shared media, followed by requests for money or goods. It also presents empirical references, including a multinational study indicating substantial exposure to catfishing and a notable Indonesian instance involving large monetary loss. The authors conclude that while a dedicated cyber-law is lacking, catfishing can be accommodated within existing criminal and cyber provisions, though they acknowledge the evolving nature of cybercrime and the need for legal adaptation. The publication discusses implications and limitations by noting gaps in explicit cyber-crime regulation and the ongoing development of Indonesian penal code reform.

Identified Gaps

Indonesia has no specific cyberlaw or catfishing-specific provision, despite technological and social-media crime continuing to develop. The article identifies a legal-adaptation gap: emerging technology-enabled offense patterns may not be expressly regulated even though general criminal provisions can be applied.

Methods

This normative juridical legal study uses statutory and case approaches. It examines the Criminal Code, the amended Electronic Information and Transactions Law, and catfishing cases reported in online media. Primary and secondary legal materials were collected through document and literature study, then inventoried, classified, and analyzed using descriptive-analytic qualitative legal analysis.

Limitations

The study is doctrinal and relies on legislation, literature, and online-media case material rather than primary data from victims, offenders, police, courts, or platforms. Its conclusions concern the legal fit of catfishing within Indonesian statutes, not the prevalence of catfishing, enforcement outcomes, victim experiences, or the practical effectiveness of the cited provisions.

Future Work

Future research could assess whether the existing Criminal Code and ITE Law provisions are effective in practice for investigating and prosecuting catfishing, given the absence of a cyberlaw specifically regulating this offense.

See how this publication connects to RSRC's living evidence syntheses through current citations and research-topic mapping.