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Bulletin of Informatics and Data Science

Bulletin of Informatics and Data Science

Bulletin of Informatics and Data Science has Online ISSN 2580-8389, based on 0005.25808389/K.4/SK.ISSN/2022.07.

Bulletin of Informatics and Data Science is an open access media in publishing scientific articles that contain the results of research in Informatic and Data Science. Paper that enters this journal will be checked for plagiarism and peer-review first to maintain its quality. This journal is managed by Asosiasi Peneliti Data Science Indonesia published 2 times a year in:
1. May (No 1), and
2. November (No 2).

The existence of this journal is expected to develop research and make a real contribution in improving research resources in the field of Informatic and Data Science.

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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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SENADA: Computational and Data Science

SENADA: Computational and Data Science adalah jurnal akses terbuka yang menawarkan penulis kesempatan untuk mempublikasikan di semua bidang matematika komputasi dan data science.

Jurnal SENADA: Computational and Data Science menerbitkan makalah berkualitas tinggi di semua bidang matematika komputasi modern. Lebih khusus lagi menerbitkan makalah tentang pengembangan metode numerik, analisis teoretisnya (konvergensi, kompleksitas, akurasi, dan stabilitas), dan aplikasinya dalam sains dan teknik. Jurnal menerbitkan juga review (survei) makalah. Untuk makalah survei, persetujuan terlebih dahulu dari pemimpin redaksi diperlukan. Penekanan dari makalah review harus menjadi presentasi wawasan baru ke dalam suatu topik dan bukan hanya presentasi hasil yang diketahui.

Journal title: SENADA: Computational and Data Science
Initials: Sen. Comp. Dat. Sci
Frequency: 2 issues per year (Juni dan Desember)
DOI: being processed
Online ISSN: being processed
Editor-in-chief: Prof. Dr. Adiwijaya
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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