Journal of Computer Networks, Architecture and High Performance Computing
Networks, architecture and high-performance computing for an increasingly connected world.
Publishing original research across computer networks, cloud and high-performance computing, cybersecurity, artificial intelligence, data science and related fields.
Latest Research
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Articles The rapid growth of digital tourism platforms has increased the availability of culinary destination information, making it challenging for users to identify destinations that best match their preferences.… -
Articles Real-Time Pest Monitoring System for Chili Plants Based on Internet of Things Using Image Sensors and Soil Moisture Sensors
Pest infestation is one of the main causes of declining productivity in chili (Capsicum annuum L.) cultivation, while conventional monitoring still relies on manual visual inspection that is subjective,… -
Articles Development and Evaluation of a No-Code-Based Cash Flow Information System Using Base44 for Financial Reporting Monitoring (Case Study: Zanjus)
Digital transformation in the financial management of small and medium enterprises (SMEs) has become an essential requirement for improving the efficiency, transparency, and accuracy of financial reporting.… -
Articles Implementation of K-Means Clustering for Grouping Post-Flood Disease Patterns in Affected Residential Settlements
Flooding in Binjai City increases post-flood disease incidence in slum settlements due to inadequate sanitation and high environmental vulnerability, while disease records are often scattered, poorly… -
Articles Implementation of K-Medoids Clustering Method for B2B Service Price Segmentation at PT Telkom Tasikmalaya
PT Telkom Indonesia Witel Tasikmalaya faces strategic challenges in monitoring customer behavior in real-time and determining optimal Business-to-Business (B2B) service pricing strategies due to conventional… -
Articles Analysis Of The Determinants Of Financial Resilience Among Retiree Customers Using An Explainable Ai (Xai) Approach
Financial resilience among high-risk retiree customer segments is a crucial issue in credit risk management, particularly because traditional scoring models are often black-box in nature and fail to provide…
Research with practical impact
Journal of Computer Networks, Architecture and High Performance Computing is The RISTEKBRIN Accredited National Scientific Journal Rank 4 (Sinta 4), Number 200 / M / KPT / 2020 on December 23, 2020. CNAHPC is published 4 times a year, namely in January, Apri, July and October. CNAHPC aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about computer science. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and will be reviewed by colleagues. Articles sent to the CNAHPC journal may not be published elsewhere. The manuscript must follow the author guidelines provided by CNAHPC and must be reviewed and edited.
Journal of Computer Networks, Architecture and High Performance Computing Aims and Scope consists of several special topics in the field of informatics engineering, including Networking, High-Performance Computing, Cloud Computing, Internet of Thing (IoT), Cybersecurity, Artificial Intelligence, Artificial Neural Network, Machine Learning, Deep Learning, Big Data, Data Mining, Data Science, Computer Vision, Robotic, Cryptography, Steganography, Watermarking, Digital Image Processing, Fuzzy Logic, and Troubleshooting
Abstracting and Indexing:
Journal of Computer Networks, Architecture and High Performance Computing is currently indexed in Google Scholar, Garuda, Copernicus, Sinta, and Dimensions.
Peer-review Policy:
Manuscripts submitted to the Journal of Computer Networks, Architecture and High Performance Computing must follow the Aims & Scope and Author Guidelines of this journal. The submitted manuscripts must fulfill scientific merit or novelty appropriate to the Aims & scope of CNAHPC Journal. The submitted manuscripts to this journal will be peer-reviewed by at least 2 (two) or more expert reviewers from Peer-Reviewers Team. The review process used in this journal is a Double-Blind Review System. The final decision of manuscript acceptance made by Editor in Chief/Regional (Handling) Editor (together with Editorial Board if required) according to reviewers' critical comments. The final decision of the manuscript is solely based on the Editor's final review which considering peer-reviewers comments
Ethics Statement:
Journal of Computer Networks, Architecture and High Performance Computing adheres to the prevailing industry standards and procedures for investigating publication ethics.
Journal of Computer Networks, Architecture and High Performance Computing does not allow dual publication (the same material published twice in the peer-reviewed literature), or dual submission (the same material simultaneously submitted to more than one journal).
Specifically, the Journal of Computer Networks, Architecture and High Performance Computing does not tolerate plagiarism, data, or figure manipulation, knowingly providing incorrect information, copyright infringement, inaccurate author attributions, attempts to inappropriately manipulate the peer review process, failures to declare conflicts of interest, fraud, and libel. This list is not exhaustive - if there is the uncertainty of what constitutes such actions, then more resources may be found at the Committee on Publication Ethics (COPE).
Journal of Computer Networks, Architecture and High Performance Computing will rigorously enforce our standards, and follow up on any transgressions. In extreme cases, this may call for individuals to be reported to their institutions and/or for manuscripts to be retracted.
Open Access Policy:
All Journal Of Computer Networks, Architecture and High Performance Computing publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication. Non-commercial use and distribution in any medium are permitted, provided the author and the journal are properly credited, This is in accordance with the Budapest Open Access Initiative
Privacy Statement:
All author data such as name, affiliation, and email address included in this Journal will be used exclusively. Author data will not be misused, will not be available for certain purposes, and also will not be available to other parties.
Disclaimer:
All research results disclosed in articles, book reviews, and creative works published in the Journal of Computer Networks, Architecture and High Performance Computing are original from the author and do not reflect the views of the editor, editorial board, or publisher.
E- ISSN: 2655-9102 | DOI Prefix: 10.47709
Indexed & Abstracted
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