This study aimed to explore the impact of classical piano music on emotional responses among professional pianists compared to non-professionals. The piano, known for its extensive pitch range and dynamic versatility, serves as a pivotal instrument in both classical and popular music. Previous research has examined how music influences individual’s styles and behaviors. In our investigation, we analyzed electroencephalogram (EEG) signals to assess emotional responses in both groups, employing coherence measures. Listening tests were conducted to evaluate the effects of pitch and dynamics on emotional characteristics. Findings revealed that all ten emotional categories were significantly influenced by variations in pitch and dynamics. Specifically, emotions such as Happy, Romantic, Comic, Calm, Mysterious, and Shy generally increased with pitch, though a decline was observed at the highest pitches. Conversely, Heroic, Angry, and Sad emotions tended to decrease with rising pitch levels, while Scary emotions were pronounced at extreme low and high pitches. Regarding dynamics, emotions like Heroic, Comic, Angry, and Scary were more intense with loud notes, whereas Romantic, Calm, Mysterious, Shy, and Sad emotions were enhanced with softer notes. Notably, the emotion Happy showed no sensitivity to dynamic changes. These results provide valuable insights into the quantification of emotional characteristics associated with piano music.

Universitas Teknologi Yogyakarta (UTY) operates several computer laboratory rooms used daily by students according to their scheduled times. Sometimes, these rooms experience sudden schedule changes, causing conflicts with other room bookings. This research aims to employ an Augmented Reality (AR)-based application for monitoring the dynamic schedule of lab room usage. The method utilizes a marker-based AR application, tested through black box implementation. The application successfully reads markers at distances of 10–90 cm, tilt angles of 10–80 degrees, and light intensities ranging from 40 to 250 lux. Under these conditions, the markers are readable, and the application responds by displaying virtual objects. Users of the lab rooms can utilize this AR application to identify changes in the scheduled usage plans at UTY as they occur.
 
 

Berdasarkan data dari badan pusat stasistik (BPS), Indonesia mengalami kontransi pertumbuhan ekonomi pada tahun 2020. Hal ini menyebabkan perekonomian mengalami deflasi atau penurunan drastis karena perkembangan ekonomi di Indonesia mempunyai pergerakan yang kurang stabil. Perubahan yang terjadi dipengaruhi adanya pandemi covid-19.Pemerintah indonesia mengeluarkan kebijakan guna mengurangi penyebaran virus covid-19. Namun kebijakan tersebut menyebabkan berkurangnya jumlah konsumsi rumah tangga. Konsumsi di Indonesia yang tidak terkendali menyebabkan perekonomian mengalami penurunan, untuk itu pemerintah mengeluarkan kebijakan untuk memulihkan perekonomian, pemerintah melaksanakan kebijakan dan membangun kerjasama dengan masyarakat ataupun pelaku usaha UMKM sebagai peran utama pada pergerakan pemulihan ekonomi Indonesia dan mendorong percepatan efektivitas ekonomi disetiap daerah. (Nainggolan, n.d.)