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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA
Raharjo, Mokhamad Ramdhani
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Analisis Sistem Informasi dan Pelaporan Kecelakaan Lalu Lintas Berbasis Mobile GIS dan GPS Raharjo, Mokhamad Ramdhani; Ridho, Ihda Innar; Alamsyah, Nur
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.181 KB)

Abstract

The increasing number of motorized vehicle ownership in various regions in Indonesia makes the congestion level quite high. In addition to the high level of congestion, new problems, namely, the level of motor vehicle accidents also increased. These problems must be resolved sooner or later, aside from the infrastructure facilities for road users, their quality must be improved and the level of public awareness of the traffic regulations requires a system that can help road users to obtain information and report on traffic accidents and systems that can monitor and analyze traffic accidents. from the authorities for follow-up. This system utilizes the technology of smartphones in the form of GPS that are already in it and the world map provider service from Google company, Google Maps, to detect the location of road users when reporting traffic accidents. This system also helps provide information on locations that are vulnerable to traffic accidents. The reporting data is processed from the central system to be processed, analyzed, validated and inputted based on the chronology of accident information provided with other information in accordance with the classification of accident data to serve as the latest accident data information and can be accessed again by other road users from the Smartphone system as a source of information new so that it helps road users to be more careful in driving and reduce the occurrence of traffic accidents in the future.
Penerapan Machine Learning dengan Konsep Data Mining Rough Set (Prediksi Tingkat Pemahaman Mahasiswa terhadap Matakuliah) Raharjo, Mokhamad Ramdhani; Windarto, Agus Perdana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2745

Abstract

The Rough Set (RS) method is part of machine learning that analyzes the uncertainty of the dataset used to determine the attributes of important objects (classification). The purpose of this study was to extract information from the rough set using the Rosetta application in predicting cases of students' level of understanding of the course. The attributes used are communication (F1), learning atmosphere (F2), learning media (F3), appearance (F4), and teaching methods (F5). Sources of data obtained from the output of the Journal of Physics: Conference Series, 1255 (1). https://doi.org/10.1088/1742-6596/1255/1/012005. The results of the application of the Rough Set method in determining the prediction of the level of student understanding of the course, produce new knowledge, namely learning outcomes based on the subject. There are 15 Reductions with 90 Generate Rules. But overall, the attributes that affect the level of student understanding of the subject are communication (F1) and learning media (F3)
Co-Authors Agus Perdana Windarto Nur Alamsyah, Nur Ridho, Ihda Innar