Editorial Policies

Focus and Scope

The ZAHRA: Buletin Big Data, Data Science and Artificial Intelligence publish open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered. The journal examines the challenges facing big data, data science, and artificial intelligence today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the ZAHRA: Buletin Big Data, Data Science, and Artificial Intelligence to be a seminal source of innovative material.

 

Section Policies

Articles

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

Setiap artikel yang telah submit ke ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence akan diperiksa originalnya termasuk simmilarity (batas kepatutan dibawah 25%) terlebih dahulu oleh Editor kemudian di teruskan ke Section Editor. Section Editor akan meneruskan ke Reviewer.

Artikel akan di review sedikitnya oleh 1 (satu) orang reviewer/mitra bestari. Waktu yang diperlukan untuk melakukan review paling lama 3 minggu. Proses review dilakukan dengan Doubele-Blind Peer-Review

Terdapat 5 jenis keputusan editorial (1) Artikel diterima, (2) Artikel di perbaiki, (3) Artikel di submit dan di review ulang, (4) Artikel di kirimkan ke jurnal yang lain, atau (5) artikel di reject.

Keputusan artikel diterima membutuhkan waktu paling lama 3-8 minggu.

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.