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All Journal International Journal of Wireless And Multimedia Communications SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
B, Firdaus
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Design and Build of a Blynk-Based Automatic Cat Food and Drinking Water Dispenser Ani, Gus Erniati; B, Firdaus; Yulindon
International Journal of Wireless And Multimedia Communications Vol. 1 No. 1 (2024): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v1i1.11

Abstract

Abstract — There are many people who like to keep cats. When keeping cats, the things you need to pay attention to are eating and drinking so that the cat's health is maintained. As it should be, food and drinking water must be given according to the dosage. However, if the cat owner is outside the house, it will make it difficult for the owner to feed and drink it. Through this final project, cats can eat and drink at any time by implementing the Internet of Things called an automatic dispenser. Automatic food and drinking water dispenser uses NodeMCU8266, 2 servo motors, 2 ultrasonic sensors, HX711 load cell and Blynk software. The Blynk software functions to display the on/off switch, the distance the cat is approaching, the amount of food and drinking water available in the cat food and drinking water dispenser which is connected via nodeMCU8266 which can be accessed on the cat owner's smartphone. If the food and drinking water is less than capacity, a notification will immediately appear on the cat owner's smartphone and email.
RANCANG BANGUN SISTEM DETEKSI KANTUK PENGEMUDI PADA KENDARAAN BERBASIS RASPBERRY PI DENGAN ALARM DAN NOTIFIKASI D'coen, Muhammad Aziz; B, Firdaus; Dewi, Ratna
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.128

Abstract

Drowsiness-related traffic accidents are one of the leading causes of road fatalities. Drowsiness reduces concentration and slows a driver’s reaction time to road conditions. This research aims to design and implement a drowsiness detection system based on the Raspberry Pi 4 Model B+, capable of providing early warnings through an audible alarm and sending notifications to an administrator via email. The system employs a web camera to capture real-time facial images of the driver, which are then processed using the Eye Aspect Ratio (EAR) method with the OpenCV and Dlib libraries. If the EAR value falls below a predefined threshold for a certain duration, the system triggers a speaker alarm and sends notifications to the administrator. The system was tested under various lighting and distance conditions to evaluate its accuracy. The results show that the system can detect drowsy eye conditions with an accuracy good. This system is expected to serve as a preventive solution to reduce the risk of accidents caused by drowsiness, particularly for both private and commercial vehicle drivers.
Co-Authors Ani, Gus Erniati D'coen, Muhammad Aziz Ratna Dewi Yulindon