cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Oris Krianto Sulaiman
Contact Email
oris.ks@ft.uisu.ac.id
Phone
-
Journal Mail Official
oris.ks@ft.uisu.ac.id
Editorial Address
-
Location
Kota medan,
Sumatera utara
INDONESIA
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan
Published by Universitas Islam Sumatera Utara
ISSN : 25407597     EISSN : 25407600     DOI : -
Core Subject : Science,
Computer Science & IT
Merupakan jurnal yang dikelola oleh program studi teknik informatika Universitas Islam Sumatera Utara (UISU), jurnal ini membahas ilmu dibidang Informatika dan Teknologi jaringan, sebagai wadah untuk menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan ilmu informatika. InfoTekjar terbit 2 kali dalam setahun yaitu pada bulan maret dan september, terbitan pertama bulan september 2016. Artikel yang masuk akan diterima oleh editor untuk kemudian diteruskan ke editor bagian dan diteruskan lagi ke reviewer untuk di review artikel nya. Waktu review maksimal dilakukan selama 4 minggu.
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue "Vol 9, No 1 (2024): InfoTekJar September" : 2 Documents clear
Implementasi YOLO V8 Dengan Pemanfaatan Apple M2 Untuk Deteksi Perilaku Merokok hamidah, syarifah syifa; Erzed, Nixon
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 9, No 1 (2024): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v9i1.9713

Abstract

Indonesia is one of the countries facing serious problems related to the high number of smokers. Active smokers have a high risk of contracting various serious diseases, such as heart disease, cancer, respiratory diseases, and others. Additionally, exposure to tobacco smoke also has adverse effects on passive smokers, who are often individuals around them who do not smoke but are affected by it. Conventional methods for detecting smokers are often inefficient and require significant manual intervention, thus necessitating a technological solution for automatic and real-time detection to support the enforcement of anti-smoking regulations. Therefore, this research aims to detect smoking behavior using the You Only Look Once (YOLO) version 8 method on Apple M2. YOLO V8 was chosen for its capability in fast and accurate object detection, while the Apple M2 supports real-time processing. The training results showed an accuracy rate of 91.6%, precision of 96.4%, recall of 90.4%, and an F1-Score of 93.2%. During the inference stage, the Apple Neural Engine (ANE) was able to process 21-25 frames per second (fps), demonstrating good capability for real-time object detection. The combination of YOLO V8 and Apple M2 proved effective for detecting smokers in public areas, offering an efficient and effective innovative solution, supporting the creation of a smoke-free environment in Indonesia, and showing great potential for the application of edge computing in similar applications in the future.
STARTUP E-COMPLAINT DENGAN INTEGRASI API UNTUK AKSES TANPA UNDUH PADA ONLINE SHOP Setiani, Indah Nur; Anisa N W, Hana Fitri; Sundari, Jeni
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 9, No 1 (2024): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v9i1.9723

Abstract

The development of the times that demands everything to be more efficient and effective has prompted various companies to develop their online systems. Along with global trends, online shopping in Indonesia is also becoming more popular. Customer satisfaction in online shopping is a determining factor in their decision to make a repeat purchase. Dissatisfaction can increase customer turnover and the cost of acquiring new customers. A common problem faced by businesses is the quality of customer service, especially in handling complaints manually which is no longer relevant in the midst of technological developments. This research aims to create an online customer complaint system that facilitates the handling of complaints efficiently, and simplifies the administration of reports and documentation. The system uses API technology to ensure an effective interface for admins and customers. The Waterfall method is used in the development of this application to minimize bugs and detect errors. The results of the study show that a web-based complaint application that is connected to a mobile application in real-time can provide ease of access and increase customer trust in online shop services.

Page 1 of 1 | Total Record : 2

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 10, No 1 (2025): InfoTekJar September Vol 9, No 1 (2024): InfoTekJar September Vol 8, No 2 (2024): InfoTekJar Maret Vol 8, No 1 (2023): InfoTekJar September Vol 7, No 2 (2023): Infotekjar Maret Vol 7, No 1 (2022): InfoTekJar September Vol 6, No 2 (2022): InfoTekJar Maret Vol 6, No 1 (2021): InfoTekJar September Vol 5, No 2 (2021): InfoTekJar Maret Vol 5, No 1 (2020): InfoTekJar September Vol 4, No 2 (2020): InfoTekJar Maret Vol 4, No 1 (2019): InfoTekJar September Vol 3, No 2 (2019): InfoTekJar Maret Vol 3, No 1 (2018): InfoTekJar September Vol 2, No 2 (2018): InfoTekJar Maret Vol 2, No 1 (2017): InfoTekJar September Vol 1, No 2 (2017): InfoTekJar Maret Vol 1, No 1 (2016): InfoTekJar Vol 1, No 1 (2016): InfoTekJar September More Issue