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Register: Jurnal Ilmiah Teknologi Sistem Informasi
Published by Universitas Pesantren Tinggi Darul ulum
ISSN : 25030477     EISSN : 25023357     DOI : https://doi.org/10.26594/register
Core Subject : Science,
Computer Science & IT
Register: Scientific Journals of Information System Technology is an international, peer-reviewed journal that publishes the latest research results in Information and Communication Technology (ICT). The journal covers a wide range of topics, including Enterprise Systems, Information Systems Management, Data Acquisition and Information Dissemination, Data Engineering and Business Intelligence, and IT Infrastructure and Security. The journal has been indexed on Scopus (reputated international indexed) and accredited with grade “SINTA 1” by the Director Decree (1438/E5/DT.05.00/2024) as a recognition of its excellent quality in management and publication for international indexed journal.
Arjuna Subject : -
Articles 224 Documents
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Development of an Interactive Augmented Reality-Based Weather Forecast Simulation with Automated BMKG Data for Enhanced TV Broadcasting Zikky, Moh.; Alexander, Robby; Eka Darmawan, Zakha Maisat; Humaira, Fitrah Maharani; Safira, Laily Asna
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 11 No 2 (2025): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v11i2.5117

Abstract

The weather has a significant impact on human activities. Weather data are used in various industries. Recently, Augmented Reality (AR) technology has been widely used to enhance content representation through multidimensional visualization. Television stations utilize AR to capture viewers' attention in the programs they broadcast; AR has the potential to enhance communication between viewers and the content. Our research on developing an AR application for an engaging immersive reality implementation aims to simulate a virtual stage in TV broadcasts, displaying real-time weather data from the Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG) using the latest SQL database. The implementation of the AR system as a multimedia mode in delivering weather information increases the attractiveness and engagement of viewers. This system operates by translating weather data from SQL into key parameters for pre-built 3D visualizations, which appear at marked coordinates. This application runs on the Windows platform and can be managed via Android, allowing presenters to convey engaging scenarios. Research on East Java BMKG data showed that the design function to transform BMKG data into a virtual weather animation data was significantly successful in both synchronizations.
From Clicks to Cradles: Mapping the Digital Landscape of Maternal Support through Bibliometric Analysis Mee, Rita Wong Mee; Ismail, Hanim Mohamad; Balraj, Belinda Marie; Pek, Lim Seong; Derahvasht, Ali; Mingmei, Yang
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 11 No 2 (2025): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v11i2.5437

Abstract

Online platforms have emerged as crucial parenting information sources in the digital age, revolutionizing how moms seek help, make choices, and deal with the difficulties of raising children. This change demonstrates the increasing scholarly interest in comprehending how digital resources affect the experiences of mothers. With an emphasis on performance and co-citation analyses, this study offers a bibliometric analysis of studies on mothers' interactions with online parenting resources. After a thorough screening process, 453 studies were eventually included out of the 1,352 records that were first found using the Web of Science database. While co-citation analysis finds thematic clusters like maternal mental health, digital parenting literacy, and online community engagement, performance analysis identifies important contributors, such as top authors, organizations, and nations. The findings show that, especially in reaction to the COVID-19 pandemic, academics are increasingly focusing on digital platforms as the main sources of parenting information. The results indicate that although mothers can benefit greatly from online resources, problems with disinformation and inequalities in digital literacy still exist. Since it highlights the necessity of trustworthy digital parenting resources to support maternal mental health and child development, this study is in line with Sustainable Development Goal (SDG) 3: Good Health and Well-Being. For a more comprehensive understanding of digital parenting practices, future research should incorporate qualitative methods and investigate cross-cultural viewpoints. A systematic road map for upcoming studies, the creation of policies, and real-world applications in the rapidly changing field of online parenting support is offered by this bibliometric analysis.
Analytical Estimation of Jitter for the MMPP-N Traffic Model Magri, Hicham; Rachdi, Mohamed; Azzouazi , Mohamed
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 11 No 2 (2025): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v11i2.5679

Abstract

Nowadays, consumers demand powerful and adequate communication techniques to meet their desires for communication and exchange. These techniques, such online chats, VoIP, video conferencing, and AR/VR services, require well-defined Quality of Service (QoS) properties, such as minimal transmission delay, high throughput, low inter-arrival time, and low packet delay variation. Among these, jitter is an important QoS parameter in IP networks that can affect the performance of real-time applications and services. In this paper, we provide an overview of jitter and relevant studies. We propose an analytical calculation of jitter for the MMPP-2 and MMPP-N traffic models and analyze the jitter behavior for voice traffic.
Data Augmentation of Sperm Images Using Generative Adversarial Networks (WGAN-GP) Diyasa, I Gede Susrama Mas; Kuswardhani , Hajjar Ayu Cahyani; Idhom, Mohammad; Riyantoko, Prismahardi Aji; Dewi , Deshinta Arrova
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 12 No 1 (2026): January (In Progress)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v12i1.5954

Abstract

This study analyzes the use of WGAN-GP for data augmentation in the analysis of sperm morphology. WGAN-GP has been the focus in this study for generating sperm microscopy images, which in turn aims to mitigate the problem of data scarcity in medical imaging. A heterogeneous dataset with mixed object categories was initially employed, leading to an FID score of 134, which in turn reflected a high incidence of mode collapse. For this reason, the dataset was divided into subcategories of Normal, Abnormal, and Non-Sperm identifications, with the scores of the subcategories being 59.19, 74.92, and 83.56, respectively, and showing better balanced model stability. This study's primary contribution is the use of WGAN-GP for the first time for sperm image data augmentation and the generation of more realistic synthetic images. Furthermore, this study illustrates the first understanding of the intricacies of data distribution's complexity and its effect on the model's performance, indicating the possibility of improvement using class-based techniques and sophisticated architectures for the generator. The innovation of this study is the application of WGAN-GP to sperm morphology datasets, improving image quality and the stability of the results, coupled with extensive model performance analysis and providing a further understanding of the field of medical image data augmentation.

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