Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jupiter Teknomatika (Jurnal Teknologi dan Informatika)
Arsia Rini
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengembangan Website Rumah Belajar Ceria Menggunakan Metode Web Modelling Language Arsia Rini; Herlinda Kusmiati
Teknomatika Vol 10 No 2 (2020): Teknomatika Vol 10 No 02 September 2020
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer PalComTech

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

Abstract

Rumah Belajar Ceria (RBC) is a caring community in an effort to improve the quality of children's education and community empowerment, especially children and communities in disadvantaged areas and weak economies. RBC provides a program of activities for children and underprivileged communities at no charge. Previously, RBC had a website consisting of article, news and gallery pages. There was no admin page that processes the data of students and volunteers. So it is necessary to develop a RBC website that provides an admin page that can manage the website, and displays online registration to make it easier for people who want to register as volunteers (teachers) and students. RBC website development used Web Modelling Language (WebML) method. WebML is a high-level specification language that allows styles of both Entity Relationship or UML. The application of WebML is to design and implement data stored in a Database Management System (DBMS).
Helm Pendeteksi Kantuk Untuk Keselamatan Berkendara Menggunakan Sensor Infrared Siti Hanifah; Herlambang Saputra; Arsia Rini
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 18 No 1 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18150103

Abstract

Traffic accidents caused by drowsy drivers are one of the main causes of high accident rates on the road. To help reduce this risk, a drowsiness detection helmet based on infrared sensors has been developed. This device is designed to detect the condition of the driver's eyes using infrared sensors installed inside the helmet. When the eyes are detected to be closed for more than one second, the system interprets this as a sign of drowsiness and issues a warning in the form of a buzzer sound and vibration through a coin vibration motor. The system is controlled by an ESP32 microcontroller, which reads, processes data from the sensors, and activates the warning. Testing was conducted by observing the system's response to open and closed eye conditions. The results show that the device functions as expected, with the warning active when the eyes are closed and deactivated when the eyes are open. All components can be installed in the helmet without compromising comfort or its function as head protection. This device is expected to serve as a practical and effective solution to enhance driving safety, particularly for drivers who frequently travel in fatigued or drowsy conditions. Keywords:Helmet, Sleepiness, Infrared Sensor, ESP32, Riding Safety
Co-Authors Herlambang Saputra Herlinda Kusmiati SITI HANIFAH