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Call for Papers Oct-2024
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Publication: 31-Oct-2024
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Building Character Values through Karawitan as Musical Arts Extracurricular Learning
Rohmadin, Mulyanto, Edy Tri Sulistyo,Sutarno Haryono
CrossRef DOI : 10.31426/ijamsr.2019.2.11.2111
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2019.2.11.2111
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Abstract
Karawitan elevates the values of character education together with the preservation of traditional culture through extracurricular musical arts. This study aims to determine the values of character education contained in the learning of karawitan as musical arts extracurricular at SD Muhammadiyah 1 Surakarta. The focus of the study is to identify the values of character education contained in the extracurricular learning of musical arts in SD Muhammadiyah 1 Surakarta. The research method used was qualitative descriptive approach. The subjects of this study were teachers, students, and artists from Surakarta who are experts in musical arts. The instrument used in this study were personal data from school, archives, and documents. The results showed the values of character education contained in musical learning at SD Muhammadiyah 1 Surakarta, including: values of patience, religious, honest, tolerance, discipline, hard work, independent, curiosity, love of the motherland, respect for achievement, and responsibility. In addition to covering the values of character education, musical art can also train the abilities of students which include cognitive aspects, psychomotor aspects, and affective aspects of students at SD Muhammadiyah 1 Surakarta.
Field Intensity Distribution in Hetero-Structure Laser
S. A. Gaikwad
CrossRef DOI : 10.31426/ijamsr.2019.2.11.2112
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2019.2.11.2112
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Abstract
The computer aided simulation tools are of significant interest to access the device performance and to know in advance the device behavior before the actual fabrication and characterization process. We have carried out the numerical simulation of hetero-structure laser in the direction to develop an indigenous design tool which enables to better understand internal device physics and to optimize various structural, physical and material parameters which are required in the design of semiconductor laser. This simulation has been carried out using static device modeling approach for the analysis and optimization of various physical parameters. The wave equation is solved to get the optical field intensity distribution in various layers across the device is obtained. The modal analysis of optical confinement in three Layer hetero-structures are carried out to obtain the optimized set of structural parameters for maximum intensity. The basic electrical equations have also been implemented in discretized form and solved numerically to obtain the electrostatic potential and quasi Fermi potential at various nodes across the finite difference mesh of the device structure. The self-consistent solution of basic electrical and optical equations has been obtained by iterative solution procedure.
Talent Management in The Age of AI and Automation
Dr. Dharmesh Srivastava, Dr. Ranjana Srivastav
CrossRef DOI : 10.31426/ijamsr.2019.2.11.2113
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2019.2.11.2113
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Abstract
The rapid advancements in artificial intelligence (AI) and automation are profoundly transforming the landscape of business operations and human resource management. Talent management, encompassing strategies and processes involved in attracting, developing, and retaining employees, is experiencing a paradigm shift driven by these technological innovations. AI and automation offer unprecedented opportunities to enhance efficiency, accuracy, and scalability in talent management. However, they also present significant challenges, such as the need for new skill sets, potential job displacement, and ethical considerations. This paper explores the multifaceted impact of AI and automation on talent management, focusing on six key areas: recruitment, employee development, performance management, retention strategies, evolving skill requirements, and ethical implications. With examining these aspects, we aim to provide a comprehensive understanding of how organizations can navigate and leverage AI and automation to optimize their talent management practices in this new era.