OJS Asosiasi Peneliti Data Science Indonesia


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.

View Journal | Current Issue | Register

Zahra: Bulletin Big data, Data Science and Artificial Intelligence

 
PDSI  •  OPEN-ACCESS SCHOLARLY JOURNAL
Bulletin Big Data, Data Science, and Artificial Intelligence
 

A scholarly journal dedicated to research and innovation in big data, data science, analytics, machine learning, and artificial intelligence, published by Asosiasi Peneliti Data Science Indonesia (PDSI).

ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence (e-ISSN 2830-7984) serves researchers and practitioners investigating methods, technologies, evaluation, and applications involving data-driven computing. The journal welcomes original research that offers a clear contribution and a sound methodological basis, as well as critical reviews and rigorously documented applied studies aligned with its scope.

Its focus includes data acquisition and storage, search and sharing, analytics and visualization, scalable and distributed computing, data mining, artificial intelligence, machine learning, deep learning, and their responsible application. ZAHRA supports scholarly communication through online publication and access to its journal archive.

Key Research Areas

Machine Learning & Deep Learning Big Data Systems & Analytics Data Mining & Knowledge Discovery Natural Language Processing Computer Vision Cloud & Distributed Computing Data Engineering & Visualization Trustworthy and Responsible AI
E-ISSN
2830-7984
ISSUE SCHEDULE
June & December
ACCESS MODEL
Open Access
PUBLISHER
PDSI
Editorial contact: zahra.pdsi@gmail.com   |   Journal contact details. For publication history, consult the live issue archive.

View Journal | Current Issue | Register

FATIMAH: Penerapan Teknologi dan Sistem Komputer

 

FATIMAH   /   JOURNAL HOMEPAGE
FATIMAH: Penerapan Teknologi dan Sistem Komputer
Applied Computer Systems & Technology   |   e-ISSN 2987-2774

FATIMAH: Penerapan Teknologi dan Sistem Komputer is an open-access scholarly journal published by Asosiasi Peneliti Data Science Indonesia (PDSI). It provides a forum for original research on the design, evaluation, implementation, and application of computer technologies and computational systems.The journal covers embedded and control systems, robotics, computer networks and security, sensor networks and the Internet of Things, distributed systems, cloud and mobile computing, computer vision, and computing algorithms. Manuscripts should provide a clearly stated contribution, an appropriate methodology, and evidence-based discussion of results.

Journal Cover
FATIMAH: Penerapan Teknologi dan Sistem Komputer — Journal Cover
Journal Information
Journal titleFATIMAH: Penerapan Teknologi dan Sistem Komputer
Journal abbreviationFat. Pen. Tek. Sis. Kom
e-ISSN2987-2774
PublisherAsosiasi Peneliti Data Science Indonesia (PDSI)
Publication frequencyTwice a year — May and November
Access modelOpen access
Submission & publication feesFREE (IDR 0)
Editor-in-ChiefView the Editorial Team
Editorial policiesView editorial policies
Focus and Scope

FATIMAH considers manuscripts in the following research areas:

  • Embedded systems based on microprocessors and microcontrollers; robotics and control systems.
  • Algorithms, artificial intelligence, computer vision, and pattern recognition.
  • Computer networks, information security, sensors, and IoT systems.
  • Cloud, distributed, mobile, and high-performance computing systems.
FATIMAH • e-ISSN 2987-2774   |   Published by Asosiasi Peneliti Data Science Indonesia (PDSI)

View Journal | Current Issue | Register

Page Header Logo

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

 

View Journal | Current Issue | Register

Page Header Logo

LIMAS: Publikasi Hasil Kegiatan Pengabdian Masyarakat

View Journal | Current Issue | Register

Page Header Logo

Jurnal Riset Teknik Informatika dan Data Sains

View Journal | Current Issue | Register