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All Journal Elektron Jurnal Ilmiah The Indonesian Journal of Computer Science
Gusti, Agrippina Waya Rahmaning
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Rancang Bangun Bak Mandi Bayi Otomatis Menggunakan Logika Fuzzy Ardhana, Aliya Mitha; Wijayanto, Ardik; Rosalinda, Hanny Megawati; Gusti, Agrippina Waya Rahmaning
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.455

Abstract

The temperature and the depth of water should be monitored during the process of bathing a baby. The acceptable temperature range for a baby's skin is very narrow, yet caregivers often pour water based on subjective estimation. Moreover, there are frequent cases of drowning during baby-bathing processes. This research aims to develop an automatic baby bathtub to facilitate safety and efficiency, by giving appropriate values of temperature and depth. The method used to control the temperature using fuzzy logic with two inputs: water temperature and depth. Meanwhile, the depth is controlled by a servo motor connected to a valve. Using fuzzy logic, Pulse-Width Modulation (PWM) signals—connected to the water heater, can be controlled so that the water reaches the desired temperature. Simulation implementation results show a similarity value of 99.72%, indicating the device accurately reads the temperature and the depth. Tests in real conditions show that the system functions well, with an average time of 2.99 minutes to increase the temperature by 2°C and 4.8 minutes for the valve to adjust the water depth.
Rancang Bangun Alat Ukur Kadar Gula Darah, Kolestrol, dan Asam Urat Non-Invasif Berbasis Internet of Things (IoT) Gusti, Agrippina Waya Rahmaning; Kemalasari; Rochmad, Mochammad; Az Zahro, Fatimah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3532

Abstract

Diabetes and cardiovascular disease are examples of non-communicable diseases with the highest prevalence. One way to prevent this deadly disease is by carrying out regular health checks. Blood sugar, cholesterol and uric acid level detection devices on the market are invasive, causing discomfort with needles when drawing blood. The aim of this research is to design a tool to measure blood sugar, cholesterol and uric acid levels non-invasively using the MAX30105 sensor. The MAX30105 sensor will read the infrared value on the fingertip which is then converted into a calculation of blood sugar, cholesterol and uric acid values using the linear regression method. This method will compare the IR value from the sensor output with the results of invasive readings of glucose, cholesterol and uric acid levels to form a regression equation. The measurement data will then be sent via WiFi to the application for easy reading. Based on the experimental results, the accuracy value for glucose reading was 91.44%, cholesterol 84.94% and uric acid 84.91%. More sample variations are needed to map variables that can cause errors in reading values. Apart from that, the amount of light and finger placement procedures also need to be considered to get better accuracy.
Co-Authors Ardhana, Aliya Mitha Ardik Wijayanto Az Zahro, Fatimah Kemalasari Mochammad Rochmad, Mochammad Ningsih, Vita Kusuma Rokhana, Rika Rosalinda, Hanny Megawati