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All Journal JMPM (Jurnal Material dan Proses Manufaktur) Indonesian Journal of Advanced Research (IJAR)
Fadilah, Muhammad Rizki
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Application of Short Time Fourier Transform (STFT) For Diagnosing Rolling Bearing Faults Kamiel, Berli Paripurna; Fadilah, Muhammad Rizki
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 7 No. 2 (2023): Desember
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v7i2.19813

Abstract

A fan is crucial for maintaining airflow in industries. Bearings in fans prevent friction and must be robust to function effectively. Damage to the bearings can diminish machine performance. Predictive maintenance is essential for early detection of faults. One way to analyze bearing faults is by using the Short Time Fourier Transform (STFT), as it excels in analyzing non-stationary signals. Experiments were conducted under normal conditions and with inner race faults in bearings at a shaft speed of 1162.5 Hz. Vibration detection was done using an accelerometer sensor, and Matlab analysis was employed. The data was processed using the Fourier Transform (FT) method through both time and frequency domains, as well as the STFT through spectrograms. In the spectrum plot, there is still a significant amount of noise present. This high amplitude of noise from other frequencies obscures the bearing fault amplitudes. Furthermore, the Fourier Transform (FT) is only suitable for analyzing stationary signals. To address this, an envelope analysis was used to filter out the noise. The STFT analysis method provides simultaneous frequency and time information. This reveals that the spectrogram results for inner race faults depict three high amplitude peaks at harmonic frequencies. This indicates that the signal is non-stationary due to fluctuating amplitudes, making bearing fault analysis more accessible.
The Influence of Social Media Account X @Idextratime and Verbal Aggression on the Fanaticism of Manchester United Football Club Fans Fadilah, Muhammad Rizki; Putri, Idola Perdini
Indonesian Journal of Advanced Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v3i7.10263

Abstract

Social media, like Twitter, allows users to express opinions, comment, and share information freely. It has become a primary platform for fans to show support but also a space where verbal aggression can occur, influencing fan behavior and attitudes. This study examines the impact of the Twitter account @idextratime and verbal aggression on the fanaticism of Manchester United fans. Using a quantitative research method, a survey was conducted. Data analysis included descriptive analysis, classical assumption tests, multiple linear regression, and hypothesis testing (T-Test & F-Test).This research aims to determine how much influence each independent variable, namely social media and verbal aggression, has on the dependent variable, namely fanaticism, and how much influence the social media variable and verbal aggression simultaneously have on the fanaticism variable. Results showed significant influence, with social media and verbal aggression accounting for 88.4% of the variance in fanaticism. The study concluded that social media and verbal aggression significantly affect fan fanaticism.
Co-Authors Idola Perdini Putri Kamiel, Berli Paripurna