Main Article Content
In adults to the old age, check health conditions such as blood pressure, blood s ugar levels, and others are needed regularly. Medical devices generally only be operated by doctors. Healthcare companies always develop medical devices for efficiency in use and minimize costs in manufacture. In this study, researchers made a design for monitoring blood pressure, non-invasive blood sugar, weight, and body temperature based on the Internet of Things. This tool uses NodeMCU microcontroller, which processes sensor MAX30100 and DS18B20. The MAX30100 sensor is used to detect blood pressure and blood sugar non-invasive. By put finger index on the sensor, the results will display after 20 seconds. DS18B20 sensor is used to measure realtime body temperature by clamp the sensor to the armpit. Load Cell sensors and the HX711 module are used to measure body weight.Results on measurements on LCD 20x4 and android using the Blynk application with the internet.Test analysis with a compare of the manufacturer's standard tools. The results, accuracy of tool are 94.78% and 93,37% in the measurement systole and diastole, 93,21% in measuring blood sugar, 96,55% in measuring body temperature, and 98,27% in measuring body weight. The results on Android can display if there is an internet or wifi connection without place restrictions.
 E. Agus Suprayitno, A. Setiawan, and R. Dijaya, “Design of Instrumentation in Detecting Blood Sugar Levels with Non-Invasive Technique Base on IoT (Internet of Things),” Int. J. Eng. Technol., vol. 7, no. 4.15, p. 440, 2018, doi: 10.14419/ijet.v7i4.15.25252.
 2017 Internasional of Diabetic Federation, Eighth edition 2017. 2017.
 D. T. Dirta and Suyanto, “Rancang Bangun Sistem Transmisi Data Tekanan Darah untuk Mendukung Human Health Monitoring Berbasis Pada Mobile Platform Android,” J. Tek. POMITS, vol. 2, no. 2, pp. 189–194, 2013.
 F. M. Kandou, D. Bahrun, M. Kes, S. R. U. A. Sompie, and I. B. S. Narasiang, “Rancang Bangun Alat Ukur Tekanan Darah Manusia Menggunakan Sensor 2SMPP Yang Dapat Menyimpan Data,” E-Journal Tek. Elektro Dan Komput., vol. 3, no. 4, pp. 57–64, 2014.
 E. A. Suprayitno, M. R. Marlianto, and M. I. Mauliana, “Measurement device for detecting oxygen saturation in blood, heart rate, and temperature of human body,” J. Phys. Conf. Ser., vol. 1402, no. 3, 2019, doi: 10.1088/1742-6596/1402/3/033110.
 Rokhmah NS, “Ternyata Jus (Minuman) dari Kulit Manggis Mempunyai Efek Samping,” Kompasiana, vol. 3, no. 3, pp. 4665–4668, 2015.
 J. Jamaaluddin, “Sistem Kontrol Pendingin Mobil Ramah Lingkungan Berbasis Android,” Cyclotron, vol. 2, no. 1, 2019, doi: 10.30651/cl.v2i1.2528.
 Jamaaluddin, I. Robandi, and I. Anshory, “A very short-term load forecasting in time of peak loads using interval type-2 fuzzy inference system: A case study on java bali electrical system,” J. Eng. Sci. Technol., 2019.
 Y. Jawahar, “Design of an Infrared based Blood Oxygen Saturation and Heart Rate Monitoring Device,” p. 69, 2009.
 A. N. Qahar, “Desain Alat Ukur Denyut Jantung Dan Saturasi Oksigen Pada Anak Menggunakan Satu Sensor,” pp. 4–7, 2018.
 E. A. S. Tri Hamdani Agung Cahyono, “Alat Ukur Berat Badan, Tinggi Badan dan Suhu Badan di Posyandu Berbasis Android,” Elinvo (Electronics, Informatics, Vocat. Educ., vol. 3, no. 1, pp. 25–30, 2018, doi: 10.21831/elinvo.v3i1.20221.
 T. Czle, Button Load Cell, Load and C. Amplifier, “Load cell sensor 24 bit ADC - HX711,” Load cell Sens. 24 bit ADC - HX711, 2017.
 I. Sulistiyowati, A. R. Sugiarto, and J. Jamaaluddin, “Smart Laboratory Based on Internet of Things in the Faculty of Electrical Engineering, University of Muhammadiyah Sidoarjo,” IOP Conf. Ser. Mater. Sci. Eng., vol. 874, no. 1, 2020, doi: 10.1088/1757-899X/874/1/012007.