The identification of a particular illness is usually done by microscopic check-up from the phlegm, urine, blood, Rontgen, and CT-scan. This technique needs a long period, high cost, and complicated procedure. As a result, society feels reluctant to check up on their health. Thus, research of an instrument that can define and diagnose the illness easily, efficiently, and accurately is needed. This research developed a prototype of an electronic nose that consists of a gas sensor that can respond quickly the element of volatile organic through the breathing air. Principal component analysis (PCA) method is the most appropriate method to classify the type of illness visually. Therefore, this research is needed to be applied in medical instrumentation.

Geophysical studies have been conducted to see the distribution of temperature below the surface of geothermal areas. Temperature spread measurements are performed using temperature sensors designed with microcontrollers so that data can be read and sent to servers with an Internet of Things (IoT) approach to users. In this study, 13 electrodes were developed with a length of 1 m and each electrode consisted of two sensors with intervals between sensors of 0.5 m. The process of data collection is done by sounding and mapping, namely making a vertical array of temperature sensors, the next step is to place several electrodes scattered at the research site in a horizontal position, this aims to obtain horizontal temperature distribution. Based on the contour map of geothermal distribution below the surface, it was found that subsurface temperatures increased in the Northwest direction from the research site. The Northwest area of the research site is a hot spring so it can be indicated that the heat flow comes only from the springs.

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