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Record W4413912412 · doi:10.5267/j.ijdns.2025.1.004

Information security management system: Electronic apostille system security to ensure legal certainty across national borders

2025· article· en· W4413912412 on OpenAlexvenueno aff
Dimas Sulistio Solekan, Eman Suparman, Muhamad Amirulloh

Bibliographic record

VenueInternational Journal of Data and Network Science · 2025
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsCertaintyComputer securityLegal certaintyBusinessInformation securityInformation systems securityNational securityInformation systemComputer scienceInternet privacyManagement information systemsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Public document legalization services in Indonesia are currently not carried out electronically, with the exception of electronic application registration (e-form) and electronic validation of apostille certificates (e-register). To adapt to the development and needs of a digital society or digital transformation, apostille legalization services must be carried out electronically (e-apostille). Based on legal provisions regarding the obligation of Electronic System Providers to organize electronic systems in a reliable, secure, and well-functioning manner, the electronic system created for the e-apostille service must be guaranteed to be reliable and secure in accordance with statutory regulations about the reliability and security of electronic systems in Indonesia. The research method used in this study is a quantitative and qualitative approach. This study uses a purposive sampling technique because sampling is carried out with certain considerations or criteria that must be met. The data collection method in this study was carried out by distributing questionnaires online through social media. In measuring respondents' answers, filling out the questionnaire was measured using a Likert scale. Statements are given a score of 1 for strongly disagree answers, a score of 2 for disagree answers, a score of 3 for doubtful answers, a score of 4 for agreed answers, and a score of 5 for strongly agreed answers. The data collection technique in this study uses a questionnaire by providing several written statements addressed to respondents, which will then be answered. Structural equation modelling is often called Partial Squares Structural Equation Modeling (PLS-SEM) with SmartPLS version 3.0. Using the normative juridical method, the results of this study emphasize the legal basis for the implementation of e-apostille legalization services. In addition, it also regulates the application of the obligation to use electronic system security reliability certificates through an information security management system by legal theories, the principle of legal certainty and the principle of benefit, as well as the aim of providing a sense of security in the use of information technology. This research concludes that developing regulations governing reliable and secure electronic apostille is necessary for certainty and convenience in Indonesia. Electronic apostille regulation has a positive and significant relationship with Electronic System Security, Digital signatures have a positive and significant relationship with Electronic System Security.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0450.037

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.294
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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