Nagastra Press

Journal of Pattern Recognition and Intelligent Data

Journal of Pattern Recognition and Intelligent Data (JPRID) is a peer-reviewed, open access journal dedicated to publishing high-quality research in the fields of Artificial Intelligence (AI), Data Science (DS), Deep Learning (DL), Computer Vision, Internet of Things (IoT), and other emerging areas of pattern...

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fingerprint Journal Identity

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Title Journal of Pattern Recognition and Intelligent Data
ISSN Not available
Issue Frequency Biannual (June and December)
DOI link https://doi.org/10.3126/jprid
Publisher Nagastra Press
Website open_in_new https://journal.nagastra.org/index.php/jprid/index
Editor in Chief Fajri Rinaldi Chan, S.Pd., M.Kom.
License copyright Creative Commons License

Journal of Pattern Recognition and Intelligent Data (JPRID) is a peer-reviewed, open access journal dedicated to publishing high-quality research in the fields of Artificial Intelligence (AI), Data Science (DS), Deep Learning (DL), Computer Vision, Internet of Things (IoT), and other emerging areas of pattern recognition and intelligent data.

The journal emphasizes interdisciplinary approaches and highlights both theoretical advancements and practical applications that address real-world challenges and drive technological innovation.

Launched in 2026, JPRID applies a rigorous double-blind peer review process to ensure the originality, quality, and relevance of every submission. All published articles are available under the Creative Commons Attribution–ShareAlike 4.0 International (CC BY-SA 4.0) license.

Published biannually in June and December, the journal welcomes contributions from scholars, researchers, and professionals worldwide. The journal strives for inclusion in major national and international indexing databases such as Google Scholar, CrossRef, and Garuda to maximize research visibility and impact.

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chat_bubble Welcome Message from Editor In Chief

Editor-in-Chief Photo

Dear Readers, Authors, Reviewers, and Researchers,

Welcome to the Journal of Pattern Recognition and Intelligent Data (JPRID). We publish high-quality research in Artificial Intelligence, Deep Learning, Computer Vision, and related fields, fostering innovation and scientific advancement worldwide.

Editor-in-Chief Fajri Rinaldi Chan, S.Pd., M.Kom.

campaign Announcements

calendar_today 2026-06-12

Call for Editors and Reviewers

Join the Editorial Board and Reviewer Team of JPRID

menu_book Current Issue View Archives

Vol. 1 No. 1 (2026): June 2026

calendar_today Published: 2026-06-11

Volume 1 Issue 1 (2026) is the inaugural issue of the Journal of Pattern Recognition and Intelligent Data (JPRID), featuring peer-reviewed research articles in Artificial Intelligence, Data Science, Deep Learning, Computer Vision, Internet of Things, and intelligent data analytics. This issue highlights recent innovations and research developments that contribute to advancing intelligent technologies and data-driven solutions.

Articles 2 articles

person Achmad Syafi’I Hasibuan* (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Akra Mukharramah (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Rapit Mailend (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Abdul Aziz (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
menu_book pp. 1 - 9 visibility 109 Views download 16 Downloads

Bronchitis merupakan penyakit inflamasi saluran pernapasan yang kerap didiagnosis terlambat akibat kesamaan gejala dengan penyakit respirasi lainnya seperti flu, pilek, dan pneumonia. Kondisi ini mendorong kebutuhan terhadap sistem pendukung keputusan klinis berbasis pembelajaran mesin yang mampu mengklasifikasikan diagnosis secara akurat berdasarkan pola gejala dan data tanda vital. Penelitian ini bertujuan membangun model prediksi bronchitis menggunakan algoritma K-Nearest Neighbor (KNN)... Read More

person Irhaz Salim* (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Nofal Fauzan (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Mutiara Rahmadina (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Aulia Maharani Desyanta (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
person Raisyafa Ihsan (Pendidikan Teknik Informatika Dan Komputer, UIN Sjech M Djamil Djambek Bukittinggi, Bukittinggi, Indonesia)
menu_book pp. 10-17 visibility 66 Views download 18 Downloads

Perkembangan teknologi kecerdasan buatan mendorong berbagai sektor usaha untuk memanfaatkan chatbot sebagai solusi layanan pelanggan otomatis. Toko bangunan sebagai salah satu sektor ritel menghadapi tantangan dalam memberikan layanan informasi produk yang cepat dan akurat kepada pelanggan. Penelitian ini bertujuan merancang dan mengimplementasikan chatbot berbasis kecerdasan buatan menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF) dan Cosine Similarity untuk layanan... Read More