cover
Contact Name
Muhammad Yusuf
Contact Email
yusuf@akprind.ac.id
Phone
+6282282677899
Journal Mail Official
jurtek@akprind.ac.id
Editorial Address
Fakultas Teknik, Universitas AKPRIND Indonesia Jl Kalisahak 28 Yogyakarta 55222
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Teknologi
ISSN : 19793405     EISSN : 23386711     DOI : https://doi.org/10.34151/jurtek
Jurnal Teknologi (e-ISSN: 2338-6711), published by the Fakultas Teknik, Universitas AKPRIND Indonesia as a medium for publication of scientific/research works in the field of technology. The Technology Journal is published 2 (two) times a year in June and December Jurnal Teknologi is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in several areas of engineering. The subject areas covered by the journal are: Chemical Engineering Industrial Engineering Mechanical Engineering Electrical Engineering Informatic and other techniques
Articles 12 Documents
Search results for , issue "Vol 17 No 1 (2024): Jurnal Teknologi" : 12 Documents clear
Pemanfaatan Mikrotik RB942-2ND Menggunakan Metode Firewall Filtering Untuk Keamanan Jaringan Dengan Model Forensik Sulaiman, Rahmat; Mardeka Raya, Agustina; Laurentinus, Laurentinus; Padli, Padli
Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v17i1.4725

Abstract

Nowadays as demand for fast and effective services increases, global technological and telecommunications developments also increase. Every village office, one of which is Belo Laut, must have an internet network to serve the community in accessing community data, therefore the development of technology and telecommunications is also very important for the government. To create a safe and effective internet network, this network security system uses Mikrotik with the Firewall Filtering method. The research problem is how to design and build network security in the Belo Laut village office area using Mikrotik to prevent the negative impacts of the internet, such as sites with adult content. Layer 7 protocol configuration and Filter Rules are included in blocking. Based on the keywords that have been determined, the test results show that Mikrotik has succeeded in blocking sites or websites that contain adult content.
Pemodelan Identifikasi Objek Kendaraan Bermotor Menggunakan Faster Region based Convolutional Neural Network (R-CNN) Berbasis Python Arum Kumalasanti, Rosalia; Susanti, Erma
Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v17i1.4727

Abstract

The vehicles are currently experiencing a surge in number and variation. This is evident from the kinds of vehicles that are passing through the highway area. The rise in the number of motorized vehicles will surely give a squeeze to the traffic density. The increase in the number of motor vehicles is one of the biggest factors in the impact of the congestion. The congestion can also cause damage to the highway. It's supposed to be the focus of the local government in dealing with the problem. Each road point has its own potential, so it is necessary to have a calculation in identifying the number of vehicles and the type of vehicles that are slipped on the road. Motor vehicle identification can be solved using the Faster Region based Convolutional Neural Network approach. Faster R-CNN is a deep learning architecture used to detect inside computers. Research will run at several highway points to take samples of video at a certain time, for identified the type of vehicle. Vehicle labelling will facilitate the calculation of the number of vehicles crossing the road in a given unit of time. The vehicle identification needs are used to see the density of the highway so that it can help the local government in making the right decision or solution to reduce the traffic density. The results of research such as quantitative data can be easily used to give the right picture and decision.

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