History of the Journal

ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence (e-ISSN 2830-7984) is an open-access scholarly journal published by Asosiasi Peneliti Data Science Indonesia (PDSI). It was established as a publication venue for scholarly exchange on big data, data science, and artificial intelligence, including data engineering, analytics, machine learning, and intelligent computational methods.

1. Journal identity and publication model

2. Chronology of publicly listed issues

3. Development of the journal’s scholarly scope

The journal’s published description identifies research challenges in data capture, storage, search, sharing, analysis, visualisation, scalable architectures, distributed file systems and databases, data mining, machine learning for big data, and cloud-based computation. The journal’s editorial information can evolve to reflect developments in deep learning and responsible AI, provided any expanded scope is supported by published research and clearly documented policies.

4. Publication continuity and archive transparency

At the time this history was prepared (26 October 2026), the public Archives page listed four issues spanning 2022–2023. Later volumes or issues were not visible in that archive inspection. The journal should publish future history updates only after authentic issue and article records are available; planned covers, volume numbers, or templates alone are not evidence of publication.

5. Commitment to a verifiable scholarly record

An accurate journal history records actual publication dates, issue details, and article metadata. Corrections, the development of editorial policies, and changes to publishing operations should be documented transparently. Readers should consult the live Archives for the authoritative issue list, and direct requests for historical clarification to the editorial office.