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Journal : Jurnal Pekommas

Pengaturan Lampu Lalu Lintas Untuk Prioritas Jalan Pada Kendaraan Darurat Menggunakan Metoda Algoritma Even-Odd Sugeng, Winarno
Jurnal Pekommas Vol 8 No 1 (2023): June 2023
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v8i1.5012

Abstract

An emergency is a condition that must be dealt quickly. Fire and accident victims are one example of conditions that must be dealt quickly, but heavy traffic conditions severely hinder emergency vehicles on reaching locations, especially when dealing with a crossroad. A traffic light system that is capable of detecting the presence of emergency vehicles and prioritizing roads for emergency vehicles at a crossroad will greatly assist emergency vehicles in reaching locations that require a quick treatment. Even-Odd Algorithm is an algorithm that can be used to test a point whether the tested point is inside or outside the polygon. By implementing this algorithm, system can detect a vehicle location with GPS sensor that provides a coordinate point against the mapping area that called a system activation in detecting the presence of emergency vehicles at traffic light area. When the system detects the presence of emergency vehicles, system can immediately give a priority to the path where the emergency vehicle detected. With this detection system emergency vehicle can immediately get a priority to pass through the path, that will make an emergency situations served quickly. According to this research even-odd algorithm can be used to detect the location of emergency vehicle in mapping area.
Pengecekan Foto Pasport Menggunakan Metode Dnn Dan Facenet Sebagai Pengenalan Wajah Sugeng, Winarno; Barus, Daniel
Jurnal Pekommas Vol 8 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v8i2.5195

Abstract

Examination of passport photos at this time still uses a manual system or requires human labor. In carrying out inspections, of course, this inspection procedure has several limitations, namely human error because officers also have limited manpower to carry out checks. The aim of this research is can recognize someone's face thougharea face covered by objects or accessories. The method used as face detection vizDNN and methods for facial recognition viz FaceNet. For the results of testing the training model FaceNet has produced the best models with 97.48% accuracy to 5191 test image and for image testing is obtained image accuracy of 97% with test images of 412 and for testing in real time u got the result For normal facial conditions as big 90%, facial condition using glasses as big 83%, condition of the face using a maskas big70%, condition of the face using a hatas big 81% and facial condition using all accessories as big 66%.There forethe system has been running as expected and the methodFaceNet has been able to be implemented in real time on a facial recognition system with the accuracy of facial recognition Very good.
Development of GPS-Based Mobile Application for Motorized Vehicle Speed Survey Sugeng, Winarno; Putri, Theta Dinnarwaty; Kamal, Hanif Al
Jurnal Pekommas Vol 4 No 2 (2019): October 2019
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2019.2040205

Abstract

The problem of measuring vehicle speed on roads is difficult to be one of the problems in the Department of Transportation. Through this research, alternative methods of measurement on road segments proposed by using GPS through vehicle speed calculations are measured based on latitude and longitude displacement applied to mobile applications.The method used to calculate vehicle speed is using the method of calculating the distance between Euclidean Distance coordinates, the acquisition of the speed results is then used to determine the determination of the congestion status. The result of distance calculation is still in units of degree, therefore it is necessary to convert from coordinate unit (degree) to unit distance (km) by multiplying the distance of one degree of earth based on latitude. Based on the test results, there are three phases when taking measurements:  pre-measurement, measurement, and post-measurement.