Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
This study aims to examine the role of empowerment, Organizational Citizenship Behavior (OCB), and Knowledge Sharing Behavior as a mediator on the Influence of Leadership on Rescuer Performance of BASARNAS Southeast Sulawesi Province. This study took a sample of 114 respondents in the entire population of BASARNAS Southeast Sulawesi Province. Data were collected directly using a questionnaire, then the data that had been collected were analyzed using WarP PLS 6.0. The results showed that empowerment plays a role as complete mediation or complete mediation, while OCB and knowledge sharing behavior act as quasi mediation or non-complete mediation. Leadership has a direct effect on performance. The coefficient value of the leadership path to performance through OCB is 0.1079 with a p- value equal to 0.08. The coefficient value of the leadership path to performance through empowerment is 0.208 with a p-value equal to 0.1. And the coefficient value of the leadership path to performance through knowledge sharing behavior is 0.164 with a p-value equal to 0.41.
Recitation of the Quranic verses correctly is an important deed for Muslims. To attain an accurate recitation of Quran, it is important to master the pronunciations technique of the Arabic letters. The traditional way of teaching and learning al-Quran is time consuming and requires a teacher who are expert in Quranic recitation to guide on the correct pronunciation of Makhraj and proper Tajweed, which mostly is done face-to-face. It is significant to provide an interactive platform to assist the teachers as well as expediting the students. This is proposed through the vocal tract shape estimation based on linear predictive analysis (LPC) of speech that can provide a visualized feedback to students during the practice session. This paper conducts the linear prediction analysis to estimate the vocal tract shape on two Arabic letters that are articulated from the deepest part of the throat. The results show that the vocal tract shape can be estimated using linear prediction analysis for these two letters and the shapes are similar to the 2D validated model that is used in the Quranic teaching.