Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) INFORMAL: Informatics Journal Jurnal Sisfokom (Sistem Informasi dan Komputer)
R. Rizal Isnanto
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Aplikasi Teknologi Multimedia pada Bidang Pendidikan Sains dan Teknologi R. Rizal Isnanto
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The fast growing of computer technology had been accelerating the rising of a numberof multimedia-based computer applications. The multimedia applications have been used insome areas of applications in the world, included in education and teaching.The multimedia applications in the education are as teaching software forms, providesome facilities for students to learn with getting the advantages of multimedia, for thepurposes of distance learning and education program marketting.The developing of virtual environment which completed with its virtual realityconcepts allows students to feel through their seeing, hearing, and interacting along thelearning process. Multimedia provides the great contributions. However, the conventionalteaching media are still remain required.Keywords: education multimedia, virtual reality, interactivity.
Studi Literatur Platform Digital Sebagai Sarana Dalam Mengembangkan UMKM Oktalia Juwita; Arizona Firdonsyah; Mahrus Ali; Aris Puji Widodo; R. Rizal Isnanto
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.31547

Abstract

Today's increasingly rapid use of digital technology has created many new opportunities for organizations in all industrial fields. Digital transformation has a positive impact on innovation and company performance based on the theory of the resource-based view. The growth of Small and Medium Enterprises (SMEs) and their relatively high role in the community's economy, is also accompanied by several problems that arise in the face of the current digitalization era. The main challenges in the digitization process for SMEs are limited financial resources, limited knowledge resources, and limited technology awareness. An ecosystem-based digital platform enables SMEs to integrate strategic knowledge sources while configuring internal and external resources to better respond to a dynamic and volatile environment.
Face Recognition for Attendance Systems: A Bibliometric Review of Research Trends and Opportunities Agustiyar, Agustiyar; R. Rizal Isnanto; Catur Edi Widodo
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Automated attendance systems have become a critical component of smart education environments. This study presents a bibliometric analysis of research on facial recognition-based attendance systems to identify research trends, collaboration patterns, and potential directions for future studies. Data were collected from the Scopus database for the period 2019–2024 using keywords related to “facial recognition,” “attendance system,” and “deep learning.” The bibliometric analysis was conducted using OpenRefine for data cleaning and Biblioshiny (R-Bibliometrix) for visualization and mapping of scientific networks, including co-authorship, keyword co-occurrence, and citation analysis. The results show a significant increase in research publications, dominated by contributions from India, Indonesia, and Malaysia, with deep learning and convolutional neural networks (CNN) as the most frequently studied techniques. International collaboration remains limited, indicating opportunities for broader cooperation in this field. This research contributes by providing a comprehensive overview of the global research landscape on facial recognition for attendance systems and offering strategic insights for developing more accurate, efficient, and scalable recognition technologies in educational environments.
Co-Authors Agustiyar Agustiyar Aris Puji Widodo Catur Edi Widodo Firdonsyah, Arizona Luh Putu Ratna Sundari Oktalia Juwita