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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT JMM (Jurnal Masyarakat Mandiri) Jurnal Infomedia Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Community Engagement and Emergence Journal (CEEJ) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Minfo Polgan (JMP) JURUTERA (Jurnal Umum Teknik Terapan) Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Ahmad Ihsan
Program Studi Informatika, Fakultas Teknik, Universitas Samudra, Meurandeh - Langsa 24416, Aceh
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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SOSIALISASI SISTEM INFORMASI PENGADUAN BENCANA BERBASIS WEB PADA BADAN PENANGGULANGAN BENCANA DAERAH KOTA LANGSA Khairul Muttaqin; Ahmad Ihsan; Nazaruddin Abdul Rahman
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 1 No 1 (2023): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v1i1.8148

Abstract

Verifikasi dan validasi pengaduan bencana merupakan sesuatu yang sangat dibutuhkan oleh Badan Penanggulangan Bencana Daerah Kota Langsa. Sering terjadi pengaduan palsu yang di lakukan masyarakat sehingga ketika petugas turun kelokasi yang di laporkan tidak terjadi bencana seperti yang di laporkan masyarakat. Oleh karena hal tersebut sangat dibutuhkan system informasi pengaduan bencana berbasis web. Sistem informasi ini disosialisasikan kepada masyarakat untuk dapat digunakan sebaik mungkin dalam pengaduan bencana. Metode sosialiasasi menggunakan dua pendekatan yaitu Kaji Tindak (Action Research) dan Peer Coaching). Hasil yang didapat dari sosialiasi sistem informasi ini, masyarakat sangat siap dalam pemanfaatan teknologi ini.
Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones Imanuddin Imanuddin; Fachrid Alhadi; Raza Oktafian; Ahmad Ihsan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 2 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i2.389

Abstract

Computer Vision is one of the branches of Image processing science that allows a combination of human beings, such as identifying an object like an eye and taking a decision. Many of the face detection systems use the Viola Jones method as an object detection method. The method of Viola Jones is known by having high speed and accuracy because it is useful to combine several concepts such as (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into a major method for detecting objects. The programming language used in this study uses the MATLAB programming language to facilitate the process of creating the system. The research aims to implement Viola Jones into a simple eye-sensing drowsiness system by utilizing the existing libraries in the MATLAB programming language. Once the system is completed, a system test is performed against the detected drowsiness detection characteristics. This eye drowsiness detection system aims to determine if the car rider is sleepy or not when driving with an input in the form of eye detection taken using a digital camera and then inserted into a language Programming GUI Matlab where the value is taken binary eyes, sleepy eyes and not sleepy that will be a reference that will be processed later so that it can produce the output of a warning sound to the rider of the sleepy car vehicle or not The sleepy automatically. The testing of the program gained an amount detected 7 eyes of 10 eyes by using BW 0255 level which is useful to accelerate a program to detect sleepy eyes.
Co-Authors A. Abdullah, Nasruddin Akram, Rizalul Chicha Rizka Gunawan Dewi Lestari Eka Julianti Fachrid Alhadi Fazri Amir Gunawan, Chichi Rizka Harys Fajri HF Heri Irawan Imanuddin Imanuddin Khairul Muttaqin Liza Fitria M. Habib Hanafi Matias Kristian Kelvandy Melaty Aini Siregar Muhammad Assyam Shadiq Prima Munawir Munawir Nazaruddin Abdul Rahman Novianda nanda Novianda Novianda Nurul Fadillah Nurul Fadillah Rahmad Alfian Syahputra Raza Oktafian Resha Elfriyani Riska Nanda Sherly Febrianti Sri Wulan Dari