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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INFOKUM International Journal of Research in Vocational Studies (IJRVOCAS)
Rina Anugrahwaty
Politeknik Negeri Medan
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Design and Simulation of Analog Modulation with the Infinite Impulse Response Method Rina Anugrahwaty; Indra Yadi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4411

Abstract

Penelitian ini berdasarkan salah satu roadmap prodi Teknik Telekomunikasi Jurusan Teknik Elektro Politeknik Negeri Medan. Materi dasar dalampraktikum Dasar Telekomunikasi I bersifat dasar suatu sinyal. Sinyal yang diberikan ke sistem atau rangkaian, keluarannya diukur oleh osiloskop dan/atau spectrum analyzer. Rangkaian dasar sistem analog dalam telekomunikasi meliputi filter, penguat, osilator dan mixer. Menurut penelitian rancangan filter terdahulu yang telah dilakukan, kemudian dilanjutkan kepada penelitian karakteristik penguat dan mixer analog pada modul ED-2950P. Penguat dan mixer dikelompokkan menurut RF, IF dan daya.,Rangkaian dibangun berbasis IC 555, μ741 atau LM348 terbaru dan didukung generator sinyal, 10 MHz, 50 MHz. bentuk gelombang dan analisa respon frekuensi menggunakan Osiloskop digital, 100 MHz. Rancang bangun rangkaian tersebut diiringi dengan program simulasi menggunakan MATLAB dengan metode IIR, keduanya akan dibandingkan hasilnya. Hasilnya cukup memadai dengan faktor error bervariasi rata-rata 0,0964 Vpp sampai 0,236 Vpp dan standar deviasi dari 0,070 Vpp sampai 0,0340 Vpp untuk tegangan masukan 1 Vpp. Mixer terdiri dari modulator AM,
Smart Door System using Face Recognition Based on Raspberry Pi Fadhillah Azmi; Insidini Fawwaz; Rina Anugrahwaty
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.796 KB)

Abstract

A smart door system is a door with a smart digital lock system where someone can open the door or give permission to enter the house by authenticating the user. Basically, the technology used for smart door implementation uses a microcontroller as its controller and is combined with identification in the form of a password. The technology can be combined with other techniques, such as using facial recognition. This is done because data security using alphanumeric combination passwords is no longer used, so it is necessary to add security that is difficult to manipulate by certain people. The type of security offered is facial recognition biometric technology which has different characteristics. This study will design a smart door system that is built using Raspberry Pi-based facial recognition as a controller. The facial recognition algorithm will interact with the webcam and solenoid lock using the Raspberry Pi.Based on the results of the study, it was found that the smart door system with facial recognition can be done well and obtains an accuracy of 94%. The application of the smart door system proposed in this study is considered capable of increasing home security which can be controlled automatically using facial recognition. A smart door system is a door with a smart digital lock system where someone can open the door or give permission to enter the house by authenticating the user. Basically, the technology used for smart door implementation uses a microcontroller as its controller and is combined with identification in the form of a password. The technology can be combined with other techniques, such as using facial recognition. This is done because data security using alphanumeric combination passwords is no longer used, so it is necessary to add security that is difficult to manipulate by certain people. The type of security offered is facial recognition biometric technology which has different characteristics. This study will design a smart door system that is built using Raspberry Pi-based facial recognition as a controller. The facial recognition algorithm will interact with the webcam and solenoid lock using the Raspberry Pi.Based on the results of the study, it was found that the smart door system with facial recognition can be done well and obtains an accuracy of 94%. The application of the smart door system proposed in this study is considered capable of increasing home security which can be controlled automatically using facial recognition.
A Design and Build a Marketing System UMKM Sumatera Utara With the OOAD Method Approach Rina Anugrahwaty; Ajulio Padly Sembiring; Sharfina Faza; Wiwin Sry Adinda Banjarnahor
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 2 No. 4 (2023): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v2i4.170

Abstract

Based on the results of the analysis and design that has been carried out regarding the study of electronic-based North Sumatra KUMKM community development analysis (E-Community KUMKM North Sumatra), a conclusion can be drawn as follows, namely the results of the design using the Object Oriented Analysis Design (OOAD) method, all interfaces are designed very interactive so as to facilitate implementation in the system. Using UML as a visualization medium for system design can make the designed model closer to reality. So as to facilitate the development of the system and its application. Based on the results of the analysis using the Performance, information, economic, control, efficiency, service (PIECES) method, the limitations in marketing the results of North Sumatra KUMKM can be solved using information technology, namely the web-based KUMKM E-Community system.
Co-Authors Ajulio Padly Sembiring Fadhillah Azmi Faza, Sharfina Indra Yadi Insidini Fawwaz Wiwin Sry Adinda Banjarnahor