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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Mantik Penusa Jurnal Mantik Mejuajua International Journal of Research in Vocational Studies (IJRVOCAS) Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Muhammad Rusdi
Politeknik Negeri Medan
Aerospace Engineering Humanities 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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 1 
KESESUAIAN METODE FUZZY AUTO-REGRESSIVE UNTUK MODEL CURAH HUJAN DI INDONESIA Muhammad Rusdi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 8, No 1: April 2010
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v8i1.602

Abstract

Rain is one of the attenuation factors in very high frequency radio wave. Attenuation caused by rainfall gives a big impact in communication systems, especially wireless communication systems at millimeter-wave. This paper seeks to apply the fuzzy auto-regressive model (fuzzy AR) for rainfall in Indonesia. In this study, firstly the rainfall is measured, followed by getting the fuzzy variables for each event of rainfall measurements. Thirdly, the fuzzy variables based on the timing of the rain to get a fuzzy time series is set, and fourth step is the fuzzy time series modeling as a fuzzy AR(2) process. The fifth is estimating the matrix of model parameter, and the last step is simulating the generation of rainfall using fuzzy AR(2) model. The results obtained from the generation of simulated rainfall with Fuzzy AR(2) shows a good agreement with the actual measurement results.
SISTEM PERINGATAN DINI BANJIR AIR LAUT MENGGUNAKAN SENSOR ULTRASONIK MELALUI KOMUNIKASI SMS Muhammad Rusdi; Febrin Aulia Batubara
Jurnal Mantik Penusa Vol. 3 No. 2,Des (2019): Manajemen Dan Informatika
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.291 KB)

Abstract

Seawater flood early warning system serves to inform the public of the occurrence of flood events caused by rising sea water. With an early prevention system, the occurrence of sea water floods can reduce the impact or loss caused by tidal floods. This research aims to make a prototype of an early warning system for tidal flooding. Arduino-based systems use ultrasonic sensors to measure sea water levels. The system is also equipped with a buzzer that serves as an alarm to inform the public of a tidal flood. In addition, an early warning for tidal floods will also be delivered to the public through the SMS (Short Message Service) communication media. From the results of the discussion it was found that the early warning system for seawater flooding using two ultrasonic sensors through the SMS communication media works well. The ultrasonic sensor used is able to measure the height (level) of the water surface from 5 cm to 60 cm. The average percentage of measurement error for the first ultrasonic sensor is 1.125% and for the second ultrasonic sensor is 1.515%. The average percentage of measurement error for both sensors is 1.32%. The level of accuracy of system in measuring the height (level) of the water surface is 98.68%.
Body Temperature Monitoring System For Covid-19 Prevention Using Amg8833 Thermal Sensor Based On Internet Of Things Muhammad Rusdi; Suprianto; Fitria Nova Hulu
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The spread of the Covid-19 virus which continues to grow and is worrying to date with its increasing number of victims, encourages the Government to continue to take measures to prevent the spread of the Corona virus. One of the government's efforts to prevent COVID-19 is to monitor the health condition of the human body. One of them is detecting the human body temperature, because body temperature with a temperature above a certain limit is one of the symptoms of covid-19. The normal human body temperature ranges from 36 degrees to 37 degrees. However, for the current situation related to the corona virus pandemic, temperatures above 37 degrees have become temperatures that must be watched out for. This study aims to make a prototype of a body temperature monitoring system for the prevention of Covid-19 based on Internet of Things (IoT) The prototype designed uses an AMG8833 thermal sensor which will measure a person's body temperature with infrared which can identify a person's health through his body heat and also uses an ultrasonic sensor to measure a person's distance with the thermal sensor. The results of body temperature monitoring can be accessed on the cellphone through the blink application. From the results of the discussion, it was found that the body temperature monitoring system for the prevention of Covid-19 using AMG8833 thermal sensor the based on IoT was successfully designed and implemented in a prototype form. AMG 8833 thermal sensor works well in measuring human body temperature up to a distance of 20 with an average error of 1.18%. The level of accuracy of the body temperature monitoring system using the AMG 8833 thermal sensor is 98.82%.
Prototype Of Soil Analyzer Devices Based On Long Range (LoRa) Communication System Febrin Aulia Batubara Batubara; Bakti Viyata Sundawa; Muhammad Rusdi
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Problems of environmental damage caused by palm oil industry has become a global issue. This is often an obstacle to development of palm oil industry in Indonesia. In fact, millions of Indonesians work in palm oil sector and they are a source of state income from non-oil and gas. For this reason, efforts to support a sustainable palm oil industry need to be made. One of them is application of a smart system in palm oil industry. Soil analyzer tool is a smart system in palm oil industry. Rainfall, soil pH, temperature and humidity as well as lighting are environmental parameters that affect the growth and development of palm oil plants. Measurement results can be accessed and displayed in real-time based on LoRa technology. It is hoped that this soil analyzer will be a solution to environmental problems and related parties can determine mitigation actions in the most extreme conditions average of rainfall is 2.8 mm/day. Average of soil PH is 5.5. Average of light intensity is 10.146 lux. Average of temperature is 30.170C. Average of humidity is 70.57%.
PKM di Sekolah Menengah Kejuruan Dr.Cipto Mongun Kusumo Kelurahan Perdagangan I Kecamatan Bandar Kabupaten Simalungun Provinsi Sumatera Utara Suprianto; Ahmad Sumantri; Muhammad Rusdi; Muhammad Fadlan Siregar; Imam Rangga Bakti; Yola Permata Bunda
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 1 No. 2 (2021): Desember 2021
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.797 KB) | DOI: 10.52622/mejuajuajabdimas.v1i2.20

Abstract

Program Pengabdian Kemitraan Masyarakat yang dilaksanankan di Sekolah Menengah Kejuruan Dr.Cipto Mangun Kusumo merupakan bagian dari kegiatan rutin pengabdian masyarakat Politeknik Negeri Medan. Tujuan dilaksanakan pengabdian adalah untuk memberikan sumbangan dalam bentuk peralatan berupa Lcd proyektor dan pelatihan kepada guru-guru sekolah Dr.Cipto Mangun Kusumo tentang cara pembuatan video pembelajaran menggunakan bandi cam yang dikombinasikan dengan power point dan penggunaan aplikasi meeting google meet dan zoom. Target khusus yang ingin dicapai adalah para guru dapat membuat video pembelajaran sederhana dan dapat menggunakan aplikasi meeting menggunakan google meet dan zoom baik sebagai host maupun partisipan dan diharapkan setelah pelatihan para guru yang mengikuti pelatihan dapat membagikan ilmunya kepada para guru lainnya atau rekan sejawat yang tidak mengikuti pelatihan. Metode yang akan digunakan untuk mencapai tujuan tersebut adalah metode tatap muka terbatas yang selalu menerapkan protokol kesehatan sekaligus metode penugasan kepada peserta pelatihan. Kegiatan yang dilakukan adalah memberikan materi pelatihan sesuai dengan buku panduan yang dibuat sebelumnya oleh tim pengabdian dan mempraktekannya langsung terhadap sesama peserta pelatihan. Kegiatan berlangsung selama satu hari pada tanggal 3 Desember 2021 yang diikuti oleh 18 guru. Dari hasil pengamatan kegiatan dan wawancara kepada guru diperoleh kesimpulan bahwa terbatasnya jumlah Lcd Proyektor untuk kebutuhan proses belajar mengajar membuat para guru enggan mempersiapkan materi pembelajaran dalam bentuk video pembelajaran yang inovatif, dan penggunaan aplikasi meeting menggunakan google meet lebih diminati oleh guru karena aplikasi tersebut gratis dan mudah digunakan serta durasi meeting tidak dibatasi. Sedangkan penggunaan video pembelajaran menggunakan bandicam baik digunakan dalam pembelajaran luring dan daring, untuk pembelajaran luring dengan pertemuan tatap muka terbatas maka video pembelajaran menggunakan bandicam menjadikan proses belajar mengajar lebih efektif karena guru hanya menjelaskan ulang hal-hal penting dan yang menjadi pertanyaan peserta didik sehingga waktu yang digunakan cukup efektif dan peserta didik mempunyai dokumen file rekaman guru ketika menerangkan materi pembelajaran
River Flood Early Warning System Based on Internet of Things in Binjai City Muhammad Rusdi; Meidi Wani Lestari; Yuvina; Fitria Nova Hulu
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.v2i4.161

Abstract

Flood is an event of inundation of land, which is usually dry, by water originating from water sources around the land. Binjai City is an area prone to flash floods. This is because in Binjai City there are 5 (five) upstream rivers namely the Bingei river, Mencirim river, Bangkatan river, Diski river and Rambai river. A flood early warning system is a series of systems that function to notify an impending flood disaster. With the existence of a flood early warning system, it can provide information to the community and can reduce victims or losses due to the community's unpreparedness in dealing with flood disasters. This study aims to create a prototype of a river flood early warning system based on the internet of things (IoT). The method used is to design and create a flood early warning system prototype, then perform system testing. The system is designed using the Arduino Mega2560 microcontroller as the system control center, the HC-SR04 ultrasonic sensors and the ESP32-Cam camera module as system input, as well as buzzer, LCD and website as system output. The transmission medium used is wireless via a 4G WiFi Modem connected to the internet. System prototype testing will be carried out in the Bangkatan river area in Binjai City. From the results of the discussion, it was found that the river flood warning system using the HC-SR04 ultrasonic sensor and the ESP32-Cam camera module based on the Internet of Things was successfully designed and implemented in prototype form and worked well. Ultrasonic sensors work well in measuring river water level with an average error percentage of 3.642%. The ESP32-Cam camera module works well in capturing images of river water conditions up to a distance of 200 cm. (9 pt).
Analysis of Accuracy of The Use of UNI-T UTi165K Thermal Camera to Safeguard The Spread Of Covid-19 In The New Normal Era at the Polmed Telecommunication Laboratory Based on IoT (Internet of Things) Muhammad Rusdi; Wiwinta Sutrisno
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.336 KB) | DOI: 10.47701/icohetech.v1i1.1130

Abstract

One of the efforts that can be done is to detect the object of the spread of the virus, including at human body temperature. The use of a Thermal Camera in measuring human body temperature is felt to be the most effective because it can be done without touching the object being measured so that it can avoid physical contact that can actually transmit the Covid-19 virus. The development of Internet of Things (IoT) technology has recently been increasingly needed. IoT technology is generally developed as a solution to the need for improving remote monitoring via the internet. Telecommunication engineering laboratory of Medan State Polytechnic (Polmed) as a gathering place for students to carry out practicums really needs a system that can help prevent the development of the Covid-19 virus. In this study, a Covid-19 spread safety system in the new normal era at the Polmed telecommunication laboratory will be designed which uses a thermal camera to remotely measure the body temperature of students who will carry out practicum in the laboratory and the measurement results will be displayed in monitor screen. In designing this system, students will have their body temperature measured using the UNI-T UTi165K thermal camera with a measuring distance of 0.5 - 2 meters and those who can enter the laboratory room are students who have a body temperature of not more than 37.5 ° C. The system that is designed will also be equipped with an ichamber as a sterilization booth using a disinfectant that is sprayed automatically on students who are deemed fit to enter the laboratory and the automatic hand sanitizer will also be used in the laboratory room as an effort to prevent Covid-19 transmission. From the results of the discussion, it was found that the security system for the spread of Covid-19 in the new normal era at the Polmed telecommunication engineering laboratory based on IoT was successfully implemented and worked well. The UNI-T UTi165K thermal camera works well in detecting human body temperature from 0.5 to 2 meters. The average percentage of the UNI-T UTi165K thermal camera reading error for 0.5 m to 2 m is 0.352%. The UNI-T UTi165K thermal camera reading accuracy rate for 0.5 m to 2 m is 99.648%.
Co-Authors Bakti Viyata Sundawa Bakti, Imam Rangga Batubara, Febrin Aulia Bunda, Yola Permata Fitria Nova Hulu Meidi Wani Lestari, Meidi Wani Muhammad Fadlan Siregar Sumantri, Ahmad Suprianto Wiwinta Sutrisno yuvina