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All Journal YOUNGSTER PHYSICS JOURNAL TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Fisika Unand JFA (Jurnal Fisika dan Aplikasinya) ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Fisika FLUX Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo Jurnal Pengabdian Pada Masyarakat Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Inayatul Inayah
Institut Teknologi Dan Sains Nahdlatul Ulama Pekalongan
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Analysis comparison, calibration, and application of low-cost soil moisture in smart agriculture based on internet of things Beny Agustirandi; Inayatul Inayah; Nina Siti Aminah; Maman Budiman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 5: October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i5.25703

Abstract

The gravimetric method is one of the most accurate for determining soil water content (SWC). Several low-cost sensors have been developed to simplify measuring water content in soil by measuring soil moisture. However, the sensor must be calibrated to determine soil moisture parameters accurately. In this research, comparative analysis, and calibration of resistive and capacitive low-cost sensors were carried out. The calibration method for each sensor uses the gravimetric water content (GWC) and volumetric water content (VWC) methods. Measuring changes in SWC using sensors is performed in real time based on internet of things (IoT). Based on the measurements of the capacitive, resistive type 1, and resistive type 2 sensors with three repetitions, the linear regression R2 values were obtained at 0.980, 0.827, and 0.942, respectively. Furthermore, a stability test is carried out to see how stable the sensor is when making measurements over a long period. The result is that the capacitive, resistive type 1, and resistive type 2 sensors have errors 1.971×10-4, 7.001×10-4, and 6.270×10-4. Based on the results obtained, capacitive sensors have the highest level of accuracy and stability. Furthermore, capacitive sensors are applied to IoT-based agriculture with long range (LoRa) as communication data.
Design and Implementation of Non-Contact Infrared Thermometer based MLX90614 and Ultrasonic Sensors: Inayatul Inayah, Heri Kiswanto, Achmad Dimyati, Muhammad Ghofinda Prasetia Inayatul Inayah Inayatul Inayah; Heri Kiswanto Heri Kiswanto; Achmad Dimyati Achmad Dimyati; Muhammad Ghofinda Prasetia Muhammad Ghofinda Prasetia
Jurnal Fisika dan Aplikasinya Vol 18 No 2 (2022): Juni 2022 Edition
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v18i2.10746

Abstract

Masurement of body temperature is essential to know the condition of the individual’s body. Temperature measurements need to be carried out without contact between individuals and devices or individuals with other individuals to prevent the transmission of Covid-19. In this study, a non-contact thermometer has been designed using an MLX90614 sensor to measure body temperature, and an HC-SR04 ultrasonic sensor to detect objects at 5-30 cm. The sensor reading results will be displayed via the TFT LCD in real-time. If the detected object temperature exceeds 37.5 oC, the buzzer will sound, and the LED will light up. The constructed thermometer is supplied by 12 V DC adapter to provide 5 V output to the microcontroller. Proximity sensor, temperature sensor, and TFT LCD work on 5 V DC voltage. A Resistor and a transistor were needed to turn on the LED and 12 V high decibel buzzer. This instrument has been tested and compared with a commercial thermometer AD801 model for measuring palms and forehead. Based on our study, the difference in palm and forehead temperature readings between the two thermometers in two individuals ranges from 0 to 0.2 oC. This reading error was still within the tolerance of the reading error listed on the MLX90614 sensor datasheet, which is ± 0.3 oC.
Co-Authors Abdul Hakim Prima Yuniarto Achmad Dimyati Achmad Dimyati Achmad Dimyati Achmad Dimyati Achmad Dimyati Aflah Nurcholis Agus Sulistiyo Arlien Siswanti Beny Agustirandi Elvinda Bendra Agustina Figur Humani Giga Verian Pratama Heri Kiswanto Heri Kiswanto Heri Kiswanto Jatmiko Endro Suseno Lis Sa'odah M. Azwan M. Yusuf Mahardika, Fajar Maman Budiman Muhammad Ghofinda Prasetia Muhammad Ghofinda Prasetia Muhammad Ghofinda Prasetia Muhammad Ghofinda Prasetia Muhammad Ghofinda Prasetia Nina Siti Aminah Nur Hayati Nur Rohman Puji Cahniya Sari Rizqiyah, Mufidah Wiranata, Yonathan