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Journal : EXPLORER

Implementasi Algoritma Greedy pada Rute Wisata Danau Tao Desa Batang Onang Baru Berbasis Website Siregar, Riska Novasari; Aulia, Rahmat; Siregar, Rosyidah
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1755

Abstract

This study aims to facilitate the travel of tourists visiting Tao Lake and increase travel efficiency by determining the fastest route. One of the methods used to determine the fastest route to Tao Lake is the greedy algorithm method. The advantage of the greedy algorithm is that it is fast in acting and does not take long to consider the consequences of what is decided so that it is very easy to implement in several existing problems. This website was created for the Gunung Tua and Padang Sidempuan areas. The results of the trial of the Tao Lake tourism website using a black box stated that the results of the website's feasibility point were 54% strongly agree, 26% agree, 14% disagree and 6% strongly disagree. The results of the website user satisfaction point were 58% strongly agree, 32% agree, 6% disagree and 4% strongly disagree.
Rancangan Monitoring Lalu Lintas Pedesaan menggunakan Metode Background Subtraction Sanjaya, Tedy; Siregar, Rosyidah
Explorer Vol 5 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i2.2000

Abstract

Vehicle monitoring in rural tourist areas is an essential aspect of traffic management and safety. Video-based monitoring systems can be an effective solution for detecting and counting passing vehicles. This study proposes the use of the Background Subtraction method to detect objects, particularly vehicles, in monitoring videos recorded in tourist areas. This method utilizes the difference between the background and moving objects to identify passing vehicles, enabling automated monitoring without manual intervention. A comparison between manual counting and the automated system on five test videos showed perfect consistency, with no discrepancies in the detected number of vehicles. In a 5-second video, the system detected 4 vehicles, matching the manual count. A 6-second video recorded 2 and 1 vehicles, with identical results between the system and manual calculations. Videos lasting 11 minutes and 18 seconds each recorded 2 vehicles, with no difference between the two counting methods. The use of the Background Subtraction method achieves high detection accuracy in counting vehicles entering tourist areas, even under varying lighting conditions and environmental disturbances. This confirms that the Background Subtraction method is effective for traffic monitoring in rural areas and can be successfully applied to manage traffic in such regions.