About the Journal
Breakthroughs in Informatics, Networking, Algorithms, Research, and Yield (BINARY) is a peer-reviewed academic journal committed to the dissemination of high-quality original research articles and comprehensive review papers in the domains of computer science and informatics. The journal serves as a prominent platform for the publication of pioneering breakthroughs in informatics, network technologies, algorithmic design, and applied research that collectively contribute to advancing both theoretical foundations and practical applications in the field of computer science. By fostering scholarly exchange and interdisciplinary collaboration, BINARY aims to shape the future of computing through rigorous research and innovation.
Journal Information
| Title | : | Breakthroughs in Informatics, Networking, Algorithms, Research, and Yield |
| Initials | : | Binary |
| Publications | : | 2 issues per year (February, August) |
| DOI | : | prefix xx.xxxx by crossref |
| Country | : | Indonesia |
| Language | : | English |
| Online ISSN | : | 3109-5003 |
| Editor-in-chief | : | Fahmi SYuhada |
| Citation Analysis | : | Scopus|Dimensions|Google Scholar |
| Publisher | : | LombokScholar in collaboration with Yayasan Cendikiawan Kreatif Lombok [Link SK] |
| Indexing | : | Google schoolar and view more |
| OAI | : | https://journal.lombokscholar.org/index.php/binary |
Manuscripts submitted to Stationer must be written in either English or Indonesian and should represent original scholarly work that has not been previously published or simultaneously submitted to another journal. In maintaining the highest standards of academic integrity, all submissions are screened for plagiarism using Turnitin. Manuscripts with a similarity index above 20% will be declined without proceeding to the review stage. To support wider dissemination and scholarly impact, Stationer is indexed in recognized databases, including Google Scholar, Neliti and Garuda. These indexing services help increase the visibility, accessibility, and academic credibility of published works. Authors are expected to carefully follow the journal’s writing style, formatting requirements, and submission guidelines. Manuscripts that do not comply with these standards may be rejected during the initial editorial screening. All manuscripts must be submitted exclusively through the Stationer Online Journal System (OJS).
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Current Issue
Intelligent Computing, Computer Vision, and Secure Digital Transformation represents the second issue of Volume 2 of BINARY (Breakthroughs in Informatics, Networking, Algorithms, Research, and Yield). This issue highlights the growing role of intelligent technologies in shaping modern digital systems, with particular emphasis on artificial intelligence, computer vision, and secure information infrastructures.
The articles featured in this issue explore recent advancements in image processing, pattern recognition, machine learning models, and data-driven system development. In addition, several contributions address critical challenges in cybersecurity, privacy protection, and the design of robust and scalable digital platforms.
By integrating theoretical insights with practical implementations, this issue reflects the journal’s commitment to promoting innovative research that supports digital transformation across various domains. BINARY continues to serve as a platform for high-quality scholarly work that contributes to the advancement of intelligent, secure, and adaptive computing systems.
Articles
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Best Cafe Assessment Information System Using the ARAS (Additive Ratio Assessment) Method in Soppeng Regency
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EVALUASI KEPUASAN PENGGUNA E-LEARNING TOFAS MENGGUNAKAN METODE EUCS PADA SISWA KELAS IX SMP NEGERI 5 BATUKLIANG
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Classification of Tilapia Freshness Based on Visual Eye Images Using a Convolutional Neural Network Method
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Prototype Model For Plastic Bottle Waste Detection Using Yolov8s
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The Website Design and Construction as a Publication Media for MSMEs in the Tembolak Area Using the Laravel Framework











