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PENGENALAN TEKNOLOGI 5G (Generasi ke 5) PADA SEBUAH SISTEM ANTENA UNTUK SISWA/I SMA DI KEMBANGAN UTARA UNIVERSITAS MERCU BUANA JAKARTA BARAT Ahmad Firdausi
Jurnal Abdi Masyarakat (JAM) Vol 5, No 1 (2019): JAM (Jurnal Abdi Masyarakat) - September
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.571 KB) | DOI: 10.22441/jam.2019.v5.i1.002

Abstract

Pengabdian Masyarakat hasil penelitian yang dilaksanakan pada Semester Ganjil Tahun Akademik 2018/2019 Pengenalan Teknologi 5G (Generasi ke 5) pada sebuah system antenna untuk siswa SMA di Kembangan Utara. Pengabdian masyarakat hasil penelitian ini akan dilaksanakan di laboratorium Teknik Elektro Universitas Mercu Buana Jakarta..Tujuan Pengabdian Masyarakat hasil penelitian ini Setelah melaksanakan presentasi di hadapan para praktisi khususnya yang ada di bidang information technology di harapkan para peserta dapat mengetauhi dan menjelaskan teknologi yang sat ini sedang berkembang di semua negara untuk berlomba-lomba untuk meneliti teknologi 5G dan mengetauhi saat ini sudah sampai mana untuk teknologi 5G itu sendiri. Hasil akhir yang akan dicapai dalam pengabdian masyarakat hasil penelitian ini adalah peserta diharapkan dapat memahami materi presentasi dengan baik dan mengerti tentang teknologi 5G dan system antenna 5G
Benchmarking In Microcontroller Development Board Power Consumption For Low Power Iot Wsn Application Galang Persada Nurani Hakim; Muhammad Hafizd Ibnu Hajar; Ahmad Firdausi; Eko Ramadhan
Jurnal Teknologi Elektro Vol 13, No 1 (2022)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2022.v13i1.005

Abstract

One of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. However Wireless Sensor Network also had a disadvantage which is has limited energy which is include this as low power application. This small energy capacity has limit WSN node capability to operate for a long time. In this paper, we compare power consumption for 3 popular microcontroller development platforms that use for fast development and prototyping Wireless Sensor Network node. The power consumption was including active mode (using most energy) and deep sleep mode (using least energy) operation. From benchmarking we can see that lolin ESP32 as a microcontroller development platform has the most efficient in power consumption which is only 40 mA in active and 0.05 in deep sleep mode, compare with arduino pro mini 8 mA in active and 0.3 mA in deep sleep mode, and wemos D1 mini 74 mA in active and 0.13 mA in deep sleep mode. This low power consumption in deep sleep mode has resulting in longer operational time which is almost 48 Month for lolin ESP32