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All Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Telkommil
Imam Ashar
POLTEKAD KODIKLATAD
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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RANCANG BANGUN DUPLEXER PADA SYSTEM PEMANCAR DAN PENERIMA RADIO HYBRID CIGRA Choirul Rio Prabowo; Imam Ashar; Petrus Gunawan
Jurnal Telkommil Vol. 2 No. Mei (2021): Jurnal Telkommil
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/kom.v2iMei.149

Abstract

Perkembangan teknologi saat ini sangatlah berkembang dengan pesat, komunikasi sangat penting dan dibutuhkan, Peneltian ini bertujuan untuk merancang bangun sebuah perangkat Duplexer yang bekerja pada band 900 MHz pada jaringan radio hybrid. Duplexer adalah perangkat yang menggunakan satu antena pada frekuensi yang berbeda. Pada penelitian ini menggunakan metode kuantitatif, karena hanya satu antenna yang dapat berkomunikasi antara dua HT, duplexer didesain menggunakan mikrostrip sebagai resonator. Komponen L dan C pada mikrostrip ini menggunakan teknik open circuit untuk kapasitor dan short circuit untuk induktor. Duplexer diperoleh dengan memanfaatkan respon frekuensi band stop filter (BSF). Frekuensi yang digunakan pada band 900 Mhz yang mana frekuensi uplink adalah 453,025 MHz – 463,025 MHz dan frekuensi downlink 458.025 MHz – 468.025 MHz.Hasil pengujian diperoleh redaman pada cut off mencapai 12 db. Redaman ini merupakan tingkat isolasi sinyal antara sinyal uplink dan downlink.
DESIGN WAYPOINT DRONE HEXACOPTER MODEL USING SUGENO FUZZY LOGIC Akhmad Khoirunnas; Jainur Rahman; Imam Ashar
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 3, No 1 (2020): February 2020
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v3i1.3966

Abstract

Fuzzy logic is a scientific branch of Artificial Intelligence that was developed and applied to machines to be able to approach human intelligence. In order this machine or tool to be able to execute commands in a "more humane" manner, this AI uses a rule base as a reference for movement which then goes into the defuzzyication process. To apply the fuzzy logic rule base on the drone movement automatically, an error value is taken at tetta (θ) which was previously processed by the Odometery Method by taking the position value of the drone with GPS. In addition, the drone is also monitored through Android in real-time so that the user can see the position and set the goals of the drone. In order for the processor and realtime process to run optimally, the drone will use Arduino Mega as a processor, control center, and read input from each sensor related to the drone before entering FireBase (Cloud Data Base). Control of the stability of the drone system in the air is obtained by processing GPS sensors with the fuzzy logic method with an error at reading of coordinate is 0,4 meter from line distance that is given and response acceleration of fuzzy to reset the drone back to the distance of 4 m/s.
Co-Authors Akhmad Khoirunnas Choirul Rio Prabowo Gunawan, Petrus Jainur Rahman