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All Journal INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA)
Fadli, M. Najmul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Body Temperature Classification System Based on Fuzzy Logic and The Internet of Things Fadli, M. Najmul; Alfiansyah, Muhammad Wisnu; Sirojul Hadi
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 7 No. 2 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v7n2.p35-43

Abstract

Health technology has become more efficient thanks to telecommunications and information technology. One of the utilizations is IoT detecting a person's body temperature condition. This research aims to produce a tool that can classify human body temperature by implementing fuzzy logic methods and the Internet of Things so that early prevention can be carried out against hyperthermia and hypothermia sufferers and can be used as advice for further examination to doctors. The phases in this study are analysis requirement, system design, implementation, and testing. The tools incorporated in this system are intended to measure body temperature and can classify the measured body temperature into specific categories. This research utilizes the Sensor Proximity E18-D80nK to detect the presence of an object concerning the sensor. Additionally, the system employs MLX90614 sensors for temperature measurement. The results of this research are that the use of the DHT22 sensor for measuring room temperature and the MLX80614 sensor for non-contact body temperature respectively produces a high level of accuracy, namely 98.22% and 98.29%. In addition, the implementation of the fuzzy logic algorithm succeeded in achieving 100% accuracy in classifying body temperature data, showing the effectiveness of this method in detecting human body temperature.
Designing a Honey Quality Tool Based on Gas Sensor and Color Sensor Bima, Al; Hadi, Sirojul; Fadli, M. Najmul; Hidayah, Nurul; Arzani, Lalu Danu Prima
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 1 No. 2 (2022): September 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v1i2.2407

Abstract

Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingredients that are very beneficial for the health of the body. Testing the authenticity of honey using two sensors, namely a gas sensor and a color sensor, the tool has been connected to a database and web application to display test data. The web application can be accessed from any location as long as it is connected to the internet network. The results of the research are the ideal distance for measurements is carried out as far as 2 cm. The success rate in testing pure honey with a mixture of honey has different values, such as the value of pure honey has a gas sensor voltage of 3.3 volts while the value of mixed honey with 50% pure honey and 50% sugar, the value of the gas sensor voltage is 2.54 volts. Mixed honey has a voltage below 3 volts. The results of the color sensor test, namely the sensor output have different values, the RGB value for pure honey is red 206, green 246, and blue 182 while the RGB value for mixed honey is for 20% pure honey and 80% sugar mixture produces an RGB value of Red 156, Green 210, Blue 171. The color sensor can distinguish between real honey and mixed honey for trigona honey.
Co-Authors Bima, Al Lalu Danu Prima Arzani Muhamad Wisnu Alfiansyah NURUL HIDAYAH Sirojul Hadi