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All Journal Jurnal SOLMA Window of Health : Jurnal Kesehatan COLLASE (Creative of Learning Students Elementary Education) Jurnal Edueco JISKa (Jurnal Informatika Sunan Kalijaga) JUKI : Jurnal Komputer dan Informatika International Journal of Asian Education Digital Transformation Technology (Digitech) Malcom: Indonesian Journal of Machine Learning and Computer Science
Alam, Samsu
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Sistem Deteksi Kantuk Pengemudi Mobil Berdasarkan Analisis Rasio Mata Menggunakan Computer Vision Suradi, Andi Asvin Mahersatillah; Alam, Samsu; Mushaf, Mushaf; Rasyid, Muhammad Furqan; Djafar, Imran
JUKI : Jurnal Komputer dan Informatika Vol. 5 No. 2 (2023): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v5i2.269

Abstract

Driver drowsiness is one of the main causes of motor vehicle accidents. According to National Sleep Foundation records, about 32% of drivers have at least one drowsy driving experience per month. About 25% of traffic accidents are caused by drowsiness while driving each year. The purpose of this study is to design a system that can detect driver sleepiness based on the aspect ratio of the eye with certain parameters using a webcam placed in the car's speedometer area. The methods used are Histogram Oriented Gradients (HOG) and Linear SVM which are in the dlib library which includes machine learning algorithms and uses real time applications. A pre-trained facial landmark detector from the dlib library is used to predict the location of the 68 x-y coordinates that map the facial landmarks to the face zones. The results of this study indicate that the system can be used in real time to detect driver drowsiness with the camera position in the speedometer area at a distance of 50 cm with an average accuracy of 90.4%.
Komparasi Metode Multi-Criteria Decision Making dalam Penentuan Penerima Beasiswa Alam, Samsu; Suryani, Suryani
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.4390

Abstract

Dalam upaya mendorong semangat belajar dan pencapaian akademis yang tinggi, pemerintah daerah kabupaten Lanny Jaya mengimplementasikan program Lanny Jaya Cerdas (LJC) yang memberikan bantuan beasiswa kepada mahasiswa dan mahasiswi Lanny Jaya. Proses seleksi penerima beasiswa tersebut dilakukan secara langsung tanpa mempertimbangkan kriteria yang telah ditetapkan, sehingga terdapat potensi kesalahan dalam proses tersebut. Salah satu solusi untuk mengatasi masalah tersebut adalah dengan mengimplementasikan Decision Support System (DSS) menggunakan metode Multi-Criteria Decision Making (MCDM) yang biasa juga disebut Multi-Attribute Decision Making (MADM), seperti Weighted Product (WP), Simple Additive Weighting (SAW) dan Multi-Objective Optimization By Ratio Analysis (MOORA). Sebanyak 15 data mahasiswa dari Lanny Jaya digunakan dalam penelitian ini, dengan kriteria indeks prestasi sementara, penghasilan orang tua, biaya studi dan jumlah tanggungan orang tua. Hasil uji sensitivitas menunjukkan bahwa metode SAW dipilih sebagai yang paling optimal karena memiliki sensitivitas tertinggi, yakni 0.103214%. Dengan mengimplementasikan ketiga metode tersebut, dapat membantu proses seleksi penerima beasiswa LJC dengan hasil yang lebih tepat dan cepat.
Co-Authors Abdul Pirol Afifah, A Najiah Nurul Alfina Baharuddin Allorerung, Petronilia Palinggik Andi Asvin Mahersatillah Suradi Andi Zulkarnain, Andi Angdy Erna Azizah Azizah Baderiah Baderiah Bagussahrir, Muhammad Bahtiar, Akbar Djafar, Imran Dodi Ilham Efendi, Erwatul Fachruddiansyah Muslim Gading, Gading Haeruddin Haeruddin Hairun nisa M, Andrew Ridow Johanis Muchamad Iksan Muh. Syahlan Natsir Muhammad Furqan Rasyid Mushaf, Mushaf Nur Rahmah Putra, Iwan Ridwan, Widyawati Tri Ridha Sunardi Sunardi Suryani Suryani Syam, Asrul Thiara Tri Funny Manguma Zainuddin, Andi Husni A.