Superposition of waves experiment in physics subject need more innovation to dig up student knowledge about the essential of waves in physics. Such innovation is using Audacity software for analyze it. The purpose of this study is to analyze the superposition of sound waves using Audacity software in the wave superposition experiment. The method used is to prepare tools and materials, namely PC/laptop, 250 Hz, 1 kHz audio files and Audacity Software. Then, 250 Hz and 1 kHz audio is sampled in one wave using Audacity after which each audio sample is imported twice and then combined with Audacity software and saved. This is done for different audio frequencies as well. Then, the results of the merger are opened with Audacity and then analyzed and compared with the initial wave. And the resulting superposition of two 250 Hz waves produces an amplitude of twice and 250 Hz and 1 KHz is produced over a 4 ms wave period and the constructive and destructive wave amplitudes depend on the phase of the two waves. Thus, wave superposition experiments using Audacity software facilitate the analysis of superposition results and characterize the period and amplitude properties of waves.
Research on the Characterization of the Light Dependent Resistor (LDR) Light Sensor has been carried out with the aim of understanding the characteristics of the LDR light sensor, for processing changes in the LDR resistance value as a measurement of light intensity and for accessing an 8-bit resolution ADC by entering the LDR light sensor voltage result. The value of the resistance on the LDR depends on the size of the light received by the LDR itself. In addition, the greater the intensity of light hitting the LDR surface, the smaller the resistivity. On the other hand, the smaller the intensity of light hitting the LDR, the greater the resistance value. The basic principle used in the use of LDR resistors as components of this sensor is the change in the resistance value and the amount of current flowing in the circuit. In this experiment, the distance variations of 0cm, 3cm, 6cm, 9cm, 12cm, 15cm, 18cm, 21cm, 24cm, 27cm and 30cm were used. LDR characteristics are slow response in identifying light intensity, the greater the light intensity the smaller the resistivity, LDR can be used to read changes in light intensity and data retrieval can be done with an op-amp and a microcontroller.
This research is a pendulum experimental study in determining the acceleration of Earth's gravity and understanding the concept of simple harmonic motion. This research was conducted at the Physics Laboratory of the University of Muhammadiyah Lamongan. This study aims to examine the benefits of conducting pendulum experiments with the simple pendulum swing method and in determining the acceleration of Earth's gravity, the period of oscillation and concepts in simple harmonic motion with variations in the mass of the pendulum, namely 150 grams, 75 grams and 35 grams. The results of the analysis of this study obtained the acceleration of Earth's gravity 9.79 m/s where the mass and length of the pendulum do not affect the value of gravity. While in simple harmonic motion in the form of pendulum oscillation is influenced by the length of the string. The pendulum oscillation will experience energy dissipation in maintaining its equilibrium position due to the gravity of the earth.
Research has been conducted on the characterization of coughing sounds based on the measured sound pressure level of the Arduino-based MAX9814 sound sensor to determine the characteristics of coughing sounds based on the Sound Pressure Level (SPL). This research method is carried out by designing sound sensor hardware and software using the MAX9814 sound sensor. After that, recording the coughing sound data from the cough voice coswara respondent data set using a sound sensor and converting it to SPL data. After that, the cough SPL data was analyzed from the SPL cycle graph during recording and the cough phase pattern. And the resulting characterization of coughing sound based on coughing pressure using an Arduino-based MAX9814 sound sensor produced a coughing sound character in terms of sound pressure level (SPL) based on the expulsive phase and the intermediate phase of coughing. The expulsive phase indicator is emphasized the intensity of occurrence and density in one cycle of recording coughing sounds. And for the intermediate phase based on the drop rate of the SPL back to the SPL position without coughing. The SPL of cough detected by the MAX9814 sound sensor is ±80dB.
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