OJS Asosiasi Peneliti Data Science Indonesia


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Zahra: Bulletin Big data, Data Science and Artificial Intelligence

The journal examines the current and future challenges facing big data, data science, and artificial intelligence, 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. Academic academics and practitioners will find the ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence to be a seminal source of cutting-edge content.

Journal title: ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence
Initials: Zahra. Bul. Big. Ds. Ai
Frequency: 2 issues per year (Juni and December)
DOI: being processed
Online ISSN: 2830-7984
Editor-in-chief: Widodo Saputra, M.Kom
Publisher: Asosiasi Peneliti Data Science Indonesia
Citation Analysis: Google Scholar

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FATIMAH: Penerapan Teknologi dan Sistem Komputer

Jurnal FATIMAH: Penerapan Teknologi dan Sistem Komputer (e-ISSN: 2987-2774) - SK: 29872774/II.7.4/SK.ISSN/05/2023 adalah jurnal gratis dan akses terbuka yang diterbitkan oleh Asosiasi Peneliti Data Science Indonesia (PDSI). FATIMAH menerbitkan artikel ilmiah dari para sarjana dan pakar di seluruh dunia terkait dengan penerapan embedded system, processor design, network and infrastructure, and computing algorithms. Semua artikel yang diterbitkan akan memiliki pengenal objek digital (DOI).

Journal title: FATIMAH: Penerapan Teknologi dan Sistem Komputer
Initials: Fat. Pen. Tek. Sis. Kom
Frequency: 2 issues per year (Mei dan November)
DOI: being processed
Online ISSN:2987-2774
Editor-in-chief: Mesran, M.Kom
Publisher: Asosiasi Peneliti Data Science Indonesia
Citation Analysis: Google Scholar

 

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LIMAS: Publikasi Hasil Kegiatan Pengabdian Masyarakat

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Jurnal Riset Teknik Informatika dan Data Sains

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