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All Journal Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Teknologi Rekayasa Jaringan Telekomunikasi (TRekRiTel)
yadi, indra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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RANCANG BANGUN SISTEM PENGENDALI KECEPATAN KIPAS BERDASARKAN SUHU PADA RUANGAN BERBASIS INTERNET OF THINGS (IoT) Manalu, Monika Shintia; Yadi, Indra
Teknologi Rekayasa Jaringan Telekomunikasi Vol. 2 No. 1 (2022): April 2022
Publisher : P3M Politeknik Negeri Medan

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Abstract

Kipas angin merupakan perangkat elektronik yang digunakan sebagai pengatur sirkulasi udara pada saat cuaca panas. Permasalahan yang sering muncul bagi pengguna kipas angin adalah lupa untuk mematikan kipas angin apabila ruangan sudah tidak digunakan. Telah dilakukan rancang bangun sebuah sistem kontrol kipas angin otomatis ruangan. Sistem bertujuan agar pemakaian kipas angin menjadi efisien sehingga dapat menghemat penggunaan energi listrik dan juga menciptakan kenyamanan bagi pengguna ruangan. Sistem bekerja apabila ada orang di dalam ruangan. Sistem terdiri dari sensor IR untuk mendeteksi manusia dan sensor DHT11 yang berfungsi sebagai pendeteksi suhu relatif, Mikrokontroler Esp8266 yang berfungsi sebagai pengolah data dari masukan sensor, mengatur kinerja proses untuk menampilkan data sensor. Sistem kontrol kipas angin dan suhu ruangan ditampilkan melalui aplikasi Blynk pada android dimana pada saat suhu 320C-340C kecepatan kipas 25%, suhu 350C -370C kecepatan kipas 50%, suhu 380C-400C kecepatan kipas 75% dan saat suhu 410C kecepatan kipas 100%.
An Analysis 5G Network Latency for Upload and Download: Case Study of 5G Network in Medan City Hulu, Fitria Nova; Rusdi, Muhammad; Yadi, Indra
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20001

Abstract

This research analyzes 5G network latency for upload and download activities in Medan City. Using a quantitative approach, data is collected through latency measurements at various test points throughout the city. Measurements are carried out with special network test tools that are able to detect latency accurately. The research results show that the average data speed for download activities is 14.62 Mbps while uploading is 22.72 Mbps, with an average latency value of 46.6 ms from the combined upload and download processes. Latency variability was also analyzed based on location and time factors, showing that the city center area had lower latency than the suburbs. This study indicates that the implementation of edge computing technology can further optimize 5G network performance in Medan City. These findings are important for telecommunications service providers to improve service quality and user experience
Co-Authors Hulu, Fitria Nova Manalu, Monika Shintia Muhammad Rusdi