Computer numerical control (CNC) is a machine used in the manufacturing industry to produce components quickly for the engineering field or the desired shape. In the milling process carried out by CNC machines, sometimes vibrations occur that cause unwanted cracks or damage, which if left unchecked, will cause more severe damage. For this reason, this study describes how to monitor and analyze the sound produced by CNC during the milling process. This study uses six sound sample videos from YouTube, and there are two modes: (1) the operating mode is three different shapes with XY, XZ, and XYZ axes, and the second (2) is based on material differences. Namely, wood, Styrofoam, and plastic. The sound generated from all samples of the CNC milling processes will be detected using a sound detection program that has been designed in the LabVIEW using a simple microphone. The resulting sound frequency will be analyzed using the fast Fourier transform (FFT) process in spectral measurements, which will produce the amplitude and frequency of the detected sound in real time in the form of a graph. All frequency results that have been obtained from the sound detection monitoring tool in the CNC milling machine will be imported into the K-means clustering algorithm where the different frequencies between the resonant frequency and noise will be classified. Based on the experiments conducted, the sound detection program can detect sounds with a significant level of sensitivity.

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We propose a method for printing a radio frequency identification (RFID) tag on paper as a sensor for a wearable bracelet via the Internet of Things (IoT) to allow people to enter a secure area. The RFID paper tag is first printed out when entering the area and then can be torn up by hand when leaving. It can be easily destroyed and cannot be used again, thus preventing privacy violations. This paper tag technology has a low cost, high confidentiality, and low environmental impact. Before using RFID in this manner, it was first necessary to develop an appropriate antenna for use with the RFID tag. In this study, computer simulation software was used to select the best antenna from seven samples that matched the predetermined frequency requirements and obtain S-parameters that matched the desired frequency (924 MHz). This antenna can be used for a removable RFID tag printed directly on a wearable paper bracelet. Reliability experiments were conducted with printed antennas for RFID tags printed directly on paper. This wearable bracelet device can be easily removed to ensure personal security and has industrial applications combining RFID and the IoT.