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Sistem Pendeteksi Suhu Tubuh Jarak Jauh dengan MLX 90614dan NodeMCU untuk Mencegah Penularan Covid-19 Berbasis IoT

Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro · Vol. 6 No. 1 (2022) · hlm. 78–86

DOI
10.22373/crc.v6i1.11059
ISSN
2549-3701, 2549-3698
Terbit
2022-02-23
Penerbit
PTE FTK UIN Ar-Raniry
Bahasa
eng

Abstrak

The health protocol has being an obligation in line with the implementation of Face-to-Face Learning in the school environment. Currently, the medical procedures are carried out by using a thermogun which able to detect human body temperature. The use of a thermogun is carried out by detecting the body temperature of students or visitors who entered the school environment. The used of the MLX 90614 Sensor and NodeMCU with the support of android technology, the temperature detection process can be carried out remotely based on the Internet of things. After several experiments, it was found that if the distance is more than 5cm, the temperature will not appear and the buzzer will sound two times. If the distance was less than 5cm the buzzer sounds one time and temperature data is obtained. The results will appear on the android screen, showed the temperature conditions and its distance. When the temperature exceeds 37.50C, the buzzer will sound two times and display a warning sign on Android that indicates the data at high temperatures (hot). During the experiment, there were network problems in the RTO state, so the data did not appear. RTO is a condition where data is not sent because there are obstacles in the internet network. In this research, it can be concluded that remote temperature monitoring with IOT can be done and is recommended because it will protect officers from the covid virus attack. For further research, it is recommended to add a face detector so that those with an indication of fever will have their faces photographed.

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  • Tanjungpura University
  • State University of Jakarta
  • Universitas Halu Oleo
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Ilzar DaudTanjungpura University1
Morella MulyadinaTanjungpura University1
Rhoni RodinAfiliasi tidak diketahui1
Abdul LatifAfiliasi tidak diketahui1
Melody Angel MasadiAfiliasi tidak diketahui1
Husaini MaulanaAfiliasi tidak diketahui1
Alicia Cherie ChandraAfiliasi tidak diketahui1
Fahad Fauzan Al MunawarAfiliasi tidak diketahui1
Nurman Maulana IkhsanAfiliasi tidak diketahui1
Danil Eka FahrudinAfiliasi tidak diketahui1
Irma RahmawatiAfiliasi tidak diketahui1
M. Rizky Eka Putra Vi SafrillahAfiliasi tidak diketahui1
Audisty Prana HardayuAfiliasi tidak diketahui1
Erna ListianaAfiliasi tidak diketahui1
Ahmad HamidiAfiliasi tidak diketahui1
Alit RahmatAfiliasi tidak diketahui1
Hasan BusriAfiliasi tidak diketahui1
Retno Purnama IrawatiAfiliasi tidak diketahui1
Rully AresthaAfiliasi tidak diketahui1
Mustaruddin MustaruddinAfiliasi tidak diketahui1
Rizky AhadiAfiliasi tidak diketahui1
Rizka JannahAfiliasi tidak diketahui1
Nurdin AminAfiliasi tidak diketahui1
Apri SrihandinaAfiliasi tidak diketahui1
Mutia HafizAfiliasi tidak diketahui1
Salsabilla RamadhanaAfiliasi tidak diketahui1
Eriawati EriawatiAfiliasi tidak diketahui1
Nabilla SalwaAfiliasi tidak diketahui1
Gustia NazeiraAfiliasi tidak diketahui1
Reni VeliyantiAfiliasi tidak diketahui1
Muhammad Naufal Ra’ifaAfiliasi tidak diketahui1
Mira MaisuraAfiliasi tidak diketahui1
Sarini Vita DewiAfiliasi tidak diketahui1
Hamidah HamidahState University of Jakarta1
Munir MunirAfiliasi tidak diketahui1
Miswan MiswanUniversitas Halu Oleo1
Budiman BudimanAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.ar-raniry.ac.id/index.php/circuit/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Sistem Pendeteksi Suhu Tubuh Jarak Jauh dengan MLX 90614dan NodeMCU untuk Mencegah Penularan Covid-19 Berbasis IoT</dc:title>
	<dc:creator xml:lang="en">Sasmoko, Dani</dc:creator>
	<dc:creator xml:lang="en">Saufik, Iman</dc:creator>
	<dc:creator xml:lang="en">Afifah, Nur</dc:creator>
	<dc:subject xml:lang="en">NodeMCU</dc:subject>
	<dc:subject xml:lang="en">MLX_90614</dc:subject>
	<dc:subject xml:lang="en">IoT</dc:subject>
	<dc:subject xml:lang="en">temperature</dc:subject>
	<dc:subject xml:lang="en">firebase</dc:subject>
	<dc:description xml:lang="en">The health protocol has being an obligation in line with the implementation of Face-to-Face Learning in the school environment. Currently, the medical procedures are carried out by using a thermogun which able to detect human body temperature. The use of a thermogun is carried out by detecting the body temperature of students or visitors who entered the school environment. The used of the MLX 90614 Sensor and NodeMCU with the support of android technology, the temperature detection process can be carried out remotely based on the Internet of things. After several experiments, it was found that if the distance is more than 5cm, the temperature will not appear and the buzzer will sound two times. If the distance was less than 5cm the buzzer sounds one time and temperature data is obtained. The results will appear on the android screen, showed the temperature conditions and its distance. When the temperature exceeds 37.50C, the buzzer will sound two times and display a warning sign on Android that indicates the data at high temperatures (hot). During the experiment, there were network problems in the RTO state, so the data did not appear. RTO is a condition where data is not sent because there are obstacles in the internet network. In this research, it can be concluded that remote temperature monitoring with IOT can be done and is recommended because it will protect officers from the covid virus attack. For further research, it is recommended to add a face detector so that those with an indication of fever will have their faces photographed. </dc:description>
	<dc:publisher xml:lang="en">PTE FTK UIN Ar-Raniry</dc:publisher>
	<dc:date>2022-02-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.ar-raniry.ac.id/index.php/circuit/article/view/11059</dc:identifier>
	<dc:identifier>10.22373/crc.v6i1.11059</dc:identifier>
	<dc:source xml:lang="en">Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro; Vol. 6 No. 1 (2022); 78-86</dc:source>
	<dc:source>2549-3701</dc:source>
	<dc:source>2549-3698</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.ar-raniry.ac.id/index.php/circuit/article/view/11059/6663</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 Dani Sasmoko, Iman Saufik, Nur Afifah</dc:rights>
</oai_dc:dc>