Penerapan Analog to Digital Conversion dan Digital to Analog Conversion pada Microprocessor Menggunakan Arduino untuk Body Awareness pada Anak Balita

Abstract

The increase in sexual abuse cases against toddlers, as recorded by KemenPPPA, shows a significant escalation from year to year. In addressing this issue, the importance of sex education in children under five is highlighted, particularly in developing body awareness. However, obstacles arise because not all parents can provide the time or skills to engage children in activities that support body recognition. Toddlerhood, as a vulnerable period, requires special attention in developing body awareness. Lack of supervision can open up opportunities for criminal acts, especially sexual abuse, and children's lack of understanding of their own body parts can make it easier for criminals. This research aims to create body awareness learning media using intelligent dolls that integrate ADC and DAC algorithms. Thus, children can learn to recognise body parts that should not be touched by others through condition-based voice responses. ADC and DAC are conversion algorithms from analogue signals to digital signals. The utilisation of FSR (Force Sensitive Resistor) and INMP441 Microphone in the application of ADC and DAC produces the desired output. FSR inputs an analogue signal obtained from the intensity of the pressure on the sensor. INMP441 produces an analogue signal that is directly converted into digital signal bits. The bits obtained from the sound waves are processed using the Google Speech-to-Text API and returned in the form of a string. The digital signal is converted back into an analogue signal in the form of a voice stored on the SD Card and called depending on the conditions. The accuracy of the response to the analogue value coming from the FSR sensor is 100% and for voice recognition it reaches 96%.