<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>2024</title>
<link>http://repository.president.ac.id/xmlui/handle/123456789/12885</link>
<description/>
<pubDate>Tue, 21 Apr 2026 08:00:13 GMT</pubDate>
<dc:date>2026-04-21T08:00:13Z</dc:date>
<item>
<title>EYECARE: SMART MOBILE EYES DISEASES EARLY DETECTION</title>
<link>http://repository.president.ac.id/xmlui/handle/123456789/12990</link>
<description>EYECARE: SMART MOBILE EYES DISEASES EARLY DETECTION
Natalia, Destri Putri
Cataracts are the disease that causes most eye problems and blindness in individuals,&#13;
cataracts cause 30% of blindness in individuals aged 50 years and over. National data from&#13;
Indonesia's Ministry of Health's 2014–2016 Rapid Assessment of Avoidable Blindness&#13;
(RAAB) Blindness Survey targeting individuals aged 50 and above reveals a 3% blindness&#13;
rate, with cataracts accounting for 81% of cases. Treating 81.2% of cataract cases can&#13;
significantly reduce the prevalence of visual impairment in Indonesia. The Ministry of Health&#13;
plays an important role in implementing advanced technologies, expert systems, and targeted&#13;
interventions to improve early detection, treatment, and overall eye health of the population.&#13;
The traditional cataract examination approach causes its challenges. Such as the lack&#13;
of proper infrastructure and healthcare access in underdeveloped areas across the country.&#13;
Disease screening methods are a crucial aspect of modern healthcare. This approach&#13;
can help people, especially the elderly who are having a hard time going to the hospital and&#13;
become more aware of the eye’s health. The disease screening that we propose is a&#13;
mobile-based application that utilizes machine learning as an automation for diagnosing&#13;
cataracts&#13;
using each user's pupil’s image.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.president.ac.id/xmlui/handle/123456789/12990</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>SCREMS - SMART CAR RENTAL MANAGEMENT SYSTEM</title>
<link>http://repository.president.ac.id/xmlui/handle/123456789/12989</link>
<description>SCREMS - SMART CAR RENTAL MANAGEMENT SYSTEM
Batubara, Mikhael Glann
Car rentals are a business that has seen high demand in current times. The need&#13;
to experience comfortable transportation without spending a huge amount of money to&#13;
own and maintain an individual transportation unit in addition to paying for its taxes&#13;
are the main driving factors behind the success of the car rental business.&#13;
Like any other business, it is not exempt from the risk of failure. Several factors&#13;
can cause disadvantages in running this business. One of the main challenges faced is&#13;
the risk of car theft. Losing a car creates significant financial and operational losses for&#13;
&#13;
car rental businesses. Another factor that can become a risk to car rentals is non-&#13;
compliance with rental regulations which could result in car unit damage, ultimately&#13;
&#13;
leading to a decrease in the quality of the car unit that is owned by the car rental.&#13;
Our Smart Car Rent Management System will help car rentals in monitoring&#13;
the location, temperature, and smoking presence of their currently used cars using&#13;
location tracker module, smoke detection sensor, and a temperature sensor.&#13;
Additionally, our system also offers functionalities to manage car units, create&#13;
bookings, manage customers and track revenue from each car unit. Through various&#13;
testing and evaluation, the system has proven to solve the potential problems that&#13;
endangers car rental businesses.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.president.ac.id/xmlui/handle/123456789/12989</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>INFORMATION VALIDATION AND DETECTION TOOL IN NAVIGATING THE DIGITAL NEWS LANDSCAPE</title>
<link>http://repository.president.ac.id/xmlui/handle/123456789/12988</link>
<description>INFORMATION VALIDATION AND DETECTION TOOL IN NAVIGATING THE DIGITAL NEWS LANDSCAPE
Gibran, Muhammad Yusuf Kahlil
As technology continues to evolve, ensuring the accuracy of news is more important&#13;
than ever. Accurate news is the cornerstone of a well-informed and democratic society. With&#13;
society becoming increasingly interconnected through digital channels, the ease and speed of&#13;
information circulation have heightened the risk of misinformation. Inaccurate or unverified&#13;
news can mislead the public, shape distorted perceptions, and undermine the credibility of news&#13;
outlets.&#13;
Information validation processes are crucial for ensuring that news is accurate, reliable,&#13;
and adheres to journalistic standards. These processes help protect against intentional&#13;
misinformation, context distortion, and malicious purposes. Recognizing the challenges posed&#13;
by deliberate manipulation or misinterpretation of information, this project aims to develop a&#13;
system capable of distinguishing between genuine and fabricated content.&#13;
By leveraging advanced Artificial Intelligence algorithms, the proposed solution will analyze&#13;
contextual nuances, cross-reference data sources, and employ pattern recognition to identify&#13;
and flag potentially deceptive or inaccurate information. This project aims not only to develop&#13;
an effective fake news detection system but also to contribute to the ongoing discourse on&#13;
media literacy and responsible information consumption.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.president.ac.id/xmlui/handle/123456789/12988</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>AUGMENTED REALITY 360° NAVIGATION FOR INTERACTIVE MALL MAPS</title>
<link>http://repository.president.ac.id/xmlui/handle/123456789/12987</link>
<description>AUGMENTED REALITY 360° NAVIGATION FOR INTERACTIVE MALL MAPS
Putri, Kadek Nola Arista
In the ever-expanding landscape of shopping malls, navigating through vast retail&#13;
spaces can be a daunting task for visitors. "Mall Explore" addresses this challenge by&#13;
integrating augmented reality (AR) and 360° navigation to create an interactive and&#13;
userfriendly application. Developed using Unity for AR implementation and Android&#13;
Studio for mobile application development with Java as the programming language, this&#13;
project aims to revolutionize the mall-going experience. The application provides a&#13;
comprehensive map service, enabling users to effortlessly locate stores and outlets within&#13;
large shopping malls. Leveraging AR technology, users can visualize real-time directions&#13;
overlaid on their device screens, ensuring a seamless and immersive navigation experience.&#13;
The integration of 360° navigation further enhances the user interface, allowing for a&#13;
holistic view of the mall environment and aiding in quick decision-making. Key features&#13;
include intuitive store search functionality, real-time location tracking, and personalized&#13;
navigation preferences. The AR component enhances spatial awareness by superimposing&#13;
digital information onto the physical environment, enabling users to follow precise&#13;
directions and avoid getting lost. By utilizing Unity for AR development, the application&#13;
achieves a high level of realism and interactivity.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.president.ac.id/xmlui/handle/123456789/12987</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
