RANCANG BANGUN SISTEM PENGUKUR SUHU TUBUH MANUSIA JARAK JAUH BERBASIS INTERNET OF THINGS

EKA NURI AFRIANI, . (2022) RANCANG BANGUN SISTEM PENGUKUR SUHU TUBUH MANUSIA JARAK JAUH BERBASIS INTERNET OF THINGS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Eka Nuri Afriani (1513617007). Rancang Bangun Sistem Pengukur Suhu Tubuh Manusia Jarak Jauh Berbasis Internet Of Things (IoT). Skripsi, Jakarta : Program Studi Pendidikan Teknik Elektronika, Fakultas Teknik, Universitas Negeri Jakarta, 2021. Dosen Pembimbing: Dr. Wisnu Djatmiko, M.T dan Drs. Jusuf Bintoro, M.T. Tujuan dari peneliti ini adalah merancang sistem pengukur suhu tubuh manusia jarak jauh berbasis Internet Of Things (IoT) di rumah untuk meningkatkan keamanan penyebaran COVID-19. Dalam meneliti, merancang dan merealisasikan sistem pengukur suhu tubuh jarak jauh berbasis internet of things dilakukan di rumah peneliti, pada semester ganjil (113) hingga semester ganjil (115) tahun akademik 2020/2021. Sistem yang terdiri dari 9 sistem : (1) Sensor PIR sebagai sensor yang dapat membaca kedatangan tamu di luar rumah (2) Sensor suhu infrared MLX90614 sebagai sensor pengukur suhu tubuh tamu (3) Sistem penampil data nilai suhu tubuh tamu menggunakan LCD 16x2 dengan koneksi I2C (4) indikator dengan mengeluarkan suara “sebelum masuk kedalam rumah, silahkan mengecek suhu tubuh anda terlebih dahulu” yaitu menggunakan modul DFPlayer (5) Buzzer sebagai indikator (6) LED sebagai indikator (7) kontroler ESP-32 yang dilengkapi WiFi (8) ESP-32 CAM yang dilengkapi WiFi (9) Internet of Things Rancang bangun sistem pengukur suhu tubuh manusia jarak jauh berbasis Internet Of Things (IoT) telah selesai dibuat dan diuji. Alat sudah dibandingkan dengan Thermogun digital yaitu Infrared Thermometer SK-T008 dengan tingkat kesalahan rata-rata dalam persen (error percentage) sebesar 0,438%. LCD 16x2 menampilkan hasil nilai suhu tubuh dalam satuan derajat celcius dan jika nilai suhu tubuh lebih dari 37,5 derajat celcius maka Buzzer dan LED merah akan aktif. Jika suhu tubuh tamu di bawah 35 derajat Celcius maka LED biru akan aktif. Kata kunci :Pengukur Suhu Tubuh, suhu tubuh, sensor MLX90614, ESP-32 CAM,Internet Of Things (IoT), Telegram. Eka Nuri Afriani (1513617007). The Design Of The Remote Human Body Temperature Gauge Based on Internet of Things (IoT). Thesis, Jakarta: Electronics Engineering Education Study Program, Faculty of Engineering, University of Jakarta, 2021. Supervisors: Dr. Wisnu Djatmiko, M.T and Drs. Jusuf Bintoro, M.T. The purpose of this researcher is to design a remotely-based human body temperature gauge system (IOT) at home to improve the security of the spread of Covid-19.In researching, designing and realizing the remotely-based internet temperature gauge system was carried out at the research house, in Semester Odd (113) to the Genjil Semester (115) academic year 2020/2021. The realized system consists of 9 systems: (1) PIR sensor as a sensor that can read the arrival of guests outside the home (2) Infrared MLX90614 temperature sensor as a guest body temperature gauge sensor (3) Data viewer data temperature value of the guest body using a 16x2 LCD with a 16x2 LCD with I2C (4) connection indicator by removing a sound "before entering the house, please check your body temperature first" namely using the DFPlayer module (5) Buzzer as an indicator (6) LED as an indicator (7) ESP-32 controller equipped with WiFi ( 8) ESP-32 cam equipped with WiFi (9) Internet of Things. The design of the remote human body temperature system based on the Internet of Things (IOT) is late finished and has been tested. Tools are compared with digital thermogun namely Infrared Thermometer SK-T008 with an average error rate in percent (error percentage) of 0.438%. LCD 16x2 displays the results of the body temperature value in the Celsius unit and if the body temperature value is more than 37.5 degrees Celsius Then the Buzzer and red LED will be active. If the body temperature is below 35 degrees Celsius, the blue LED will be active. Keywords: body temperature gauge, body temperature, MLX90614 sensor, ESP-32 CAM, Internet of Things (IOT), Telegram.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Wisnu Djatmiko, M.T. ; 2). Drs.Jusuf Bintoro, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 13898 not found.
Date Deposited:	04 Mar 2022 06:28
Last Modified:	04 Mar 2022 06:28
URI:	http://repository.unj.ac.id/id/eprint/23343

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