@inproceedings{137276e8161640b2a44c52c925a0ad7a,
title = "Development of an Application for Visualizing Medical Asset Distribution to Enhance Hospital Asset Management Efficiency",
abstract = "Assets are resources owned by companies or organizations that have economic value and provide operational benefits. Asset management faces many challenges that affect the effectiveness and efficiency of resource organization. One of the main challenges is the difficulty in locating assets that are dispersed, especially in large organizations. Therefore, technology is needed to manage assets, especially for health facilities. This research aims to improve a web-based application for monitoring medical facility assets by using two-dimensional visualization of asset distribution. With this visualization technology, it is expected to facilitate the search and management of assets. The application has undergone functionality, interface, and usability testing. The results show that the website{\textquoteright}s functionality meets the requirements, and the System Usability Scale (SUS) test yielded an average score of 88.2, indicating a very good grade.",
keywords = "asset detection, image detection, asset visualization, asset management",
author = "Rahmahdane Ashari and Sinung Suakanto and Faqih Hamami and Raffei, {Anis Farihan Mat} and Edi Nuryatno",
year = "2024",
month = nov,
day = "13",
doi = "10.1109/IC2IE63342.2024.10748015",
language = "English",
isbn = "979-8-3315-0554-7",
series = "Proceedings 7th IC2IE 2024 - 2024 International Conference of Computer and Informatics Engineering: Generative AI in Democratizing Access to Knowledge and Skills",
publisher = "IEEE DataPort",
editor = "Muharram, {Asep Taufik} and Mira Rosalina and Dewi Kurniawati and Yulianti, {Susana Dwi}",
booktitle = "2024 7th International Conference of Computer and Informatics Engineering (IC2IE)",
note = "2024 7th International Conference of Computer and Informatics Engineering, IC2IE ; Conference date: 12-09-2024 Through 13-09-2024",
}
