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All Journal Prosiding SNATIF Jurnal Informatika dan Teknik Elektro Terapan E-Dimas: Jurnal Pengabdian kepada Masyarakat Elektrika CYCLOTRON Indonesian Journal of Community Services Infotekmesin Abdimas Universal Journal of Appropriate Technology for Community Services Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Kelola : Jurnal Ilmu Sosial
Munaf Ismail, Munaf
Universitas Islam Sultan Agung
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Journal : Infotekmesin

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Deteksi Kadar Alkohol Menggunakan Sensor MQ3 Berbasis Website Ismail, Munaf; Marwanto, Arief; Haddin, Muhamad
Infotekmesin Vol 12 No 1 (2021): Infotekmesin: Januari 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i1.490

Abstract

According to the Head of the Indonesian National Police (Kapolri) General Idham Azis, the number of deaths from accidents that occurred in 2019 reached 23,530. A total of 40% of the deaths from traffic accidents are caused by human error and the influence of alcohol. The high number of deaths from traffic accidents due to the influence of alcohol is a concern for all of us. Excessive alcohol consumption is dangerous when driving because consuming alcohol will affect a person's temperament and worsen driving behavior by reducing awareness, leading to accidents. A system that is able to detect the alcohol level of a vehicle driver that can be monitored anywhere is needed, as information to alert motorists to the influence of alcohol in order to prevent traffic accidents online and on a web-based basis. Using the MQ-3 sensor for alcohol detection and the ESP8266 processor in WeMos WiFi.  The average percentage error in the measurement of the measured sample was found to have an error value of: 3.6%. Research has also succeeded in reading alcohol levels through websites.
Analisa Unjuk Kerja Software Defined Radio (SDR) dengan Teknik Quadrature Amplitude Modulation (QAM) Putri Hapsari, Jenny; Ismail, Munaf
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.726

Abstract

The development of wireless communication technology require technology (software and hardware) that can keep up with changing standards. SDR platform is a software-based wireless technology that can keep up with technological developments without changing hardware. WARP is one of SDR platforms developed by American Rice University. This research to determine the performance of the SDR with the QAM technique. The performance system can be seen from BER for different distance between transmitter and receiver and different level QAM. The research was carried in two enviroment (indoor and outdoor) with LOS propagation. The results show that the value of BER 4-QAM in the two enviroment is the smallest than another levels. Thevalue of BER 4-QAM at indoor is 0.0023 and outdoors is 0 for a distance of 6 meters, so the performance of outdoor is better than indoor. SDR performance can be improved using QAM techniques.
Co-Authors Achmad Sulchan, Achmad Agus Suprajitno Arianto, Muhammad Munazar Rizki Arief Marwanto Bustanul Arifin Eka Nuryanto Budi Susila Fakhry, Andra Setya Restu Hakim, Lukman Nur Hanifatur Rosyidah, Hanifatur Hapsari, Jenny Putri Ihsan, Muhammad Amalul Islamy, Isa Roisfi Jati, Budi Pramono Muhamad Haddin Muyasaroh, Hilma Nugroho, Agus Adi Putri Hapsari, Jenny sadewa, onny paku Sri Arttini Dwi Prasetyawati Utom, Sukarno Budi