Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal SinarFe7 Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Abd Rabi’
Universitas Merdeka Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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

Found 2 Documents
Search

 1 
Deteksi Kantuk Pada Pengemudi Mobil Menggunakan Eye Aspect Ratio Dengan Metode Facial Landmark Charlos K U Nggiku; Abd Rabi’; Subairi
SinarFe7 Vol. 5 No. 1 (2022): SinarFe7-5 2022
Publisher : FORTEI Regional VII Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1027.436 KB)

Abstract

The number of traffic accidents in Indonesia is increasing. One of the main factors causing an accident is the driver's drowsiness. In general, drowsiness appears at night when the body needs rest. However, some of them appear due to fatigue during activities, situations like this need to be considered when we are driving so that the number of accidents caused by drowsiness can be avoided. From these problems, we need a tool that can automatically detect whether the car driver is sleepy or conscious using a facial landmark method. Where in the early stages it starts with taking pictures using the Raspberry Pi camera which will be processed by the Raspberry Pi 3b to detect facial areas using the eye aspect ratio then the algorithm on the eye aspect ratio is used to detect sleepy eyes with the output in the form of speakers and water pumps, where the speakers will emits a sound that can be changed according to the wishes of the driver. After the speaker sounds, the water pump will spray water on the face to react so that the driver doesn't get sleepy.
Implementasi dan Analisis Data Logger Potensi Biolistrik Tumbuhan untuk Mendeteksi Keberadaan Manusia Choiri Muchlis; Abd Rabi’; Andrijani Sumarahinsih
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2023: SNESTIK III
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2023.4220

Abstract

ABSTRACTBioelectricity is the study of the electric potential in the body. The plant body has bioelectrical potential in the leaves. The analysis was carried out to determine the presence of humans in a room by utilizing bioelectric signals from plants. Sensing stimulation signals from these plants will be taken through a data logger. The purpose of this study was to determine the difference between the two bioelectrical signals when the plant detects human presence and when the plant does not detect human presence. The method used is the statistical method of different test using the Z test. The results showed that the two signals had significant differences. The results of the analysis of plant conditions detecting human presence obtained the largest Z value of 14.6949 indicating a significance value of 6.9484. The results of the analysis of the condition of the plants did not detect human presence, the largest Z value was 6.0108 indicating a significance value of 1.8462.Keywords: Bioelectrical signal; human presence; Z test. ABSTRAKBioelektrik adalah studi yang mempelajari tentang potensial listrik pada tubuh. Tubuh tumbuhan mempunyai potensi bioelektrik pada bagian daun. Analisis dilakukan untuk mengetahui adanya keberadaan manusia pada suatu ruangan dengan memanfaatkan sinyal bioelektrik dari tumbuhan. Sinyal rangsangan pengindraan dari tanaman ini akan diambil melalui alat pencatat data atau data logger. Tujuan dari penelitian ini adalah untuk mengetahui perbedaan antara dua sinyal bioelektrik pada kondisi tumbuhan mendeteksi keberadaan manusia dan pada kondisi tumbuhan tidak mendeteksi keberadaan manusia. Metode yang digunakan adalah metode statistika uji beda dengan menggunakan uji Z. Hasil penelitian menunjukkan bahwa kedua sinyal memiliki perbedaan yang signifikan. Hasil analisis kondisi tumbuhan mendeteksi keberadaan manusia didapatkan nilai Z terbesar adalah 14.6949 menunjukkan nilai signifikansi sebesar 6.9484. Hasil analisis kondisi tumbuhan tidak mendeteksi keberadaan manusia didapatkan nilai Z terbesar adalah 6.0108 menunjukkan nilai signifikansi sebesar 1.8462.Kata kunci: Sinyal bioelektrik; keberadaan manusia; uji Z.
Co-Authors Andrijani Sumarahinsih Charlos K U Nggiku Choiri Muchlis Subairi Subairi