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HUMAN RESOURCE DEVELOPMENT IN ELEMENTARY SCHOOLS THROUGH CONTINUOUS TRAINING AND ACADEMIC SUPERVISION Uswah; Nikem Kurnia Ningsih; Zakiyah; Nurul Setiani; Siska Sukma Awalia
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 11 (2025): OCTOBER - ON PROGRESS
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i11.1171

Abstract

The development of human resources (HR) at the elementary school level plays a crucial role in improving the quality of basic education. This study aims to evaluate the effectiveness of continuous professional development and academic supervision as strategies for enhancing teacher professionalism. Using a descriptive qualitative method with a case study approach conducted in several public and private elementary schools, the findings reveal that training programs based on teachers' real needs significantly improve their pedagogical and professional competencies. Meanwhile, academic supervision that is constructive and consistently implemented contributes positively to improving classroom instructional practices. The integration of both strategies creates a dynamic school ecosystem that fosters a culture of reflection, innovation, and continuous improvement in teaching performance. The study recommends the need for strong institutional support and close collaboration among school principals, supervisors, and teachers to ensure sustainable HR development that impacts student learning outcomes.
Model Kredibilitas Bühlmann-Straub untuk Frekuensi Klaim Berdistribusi Binomial Negatif–Lindley Ikhsan Maulidi; Rini Oktavia; Uswah; Alim Misbullah; Vina Apriliani
Limits: Journal of Mathematics and Its Applications Vol. 20 No. 1 (2023): Limits: Journal of Mathematics and Its Applications Volume 20 Nomor 1 Edisi Ma
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Abstract

The credibility theory is one of the tools that can be used to determine risk-based premiums. One approach that can be used is the best accuracy approach such as Bühlmann-Straub. We study the parametric Bühlmann-Straub credibility model in which the claim frequency data is assumed to follow the Negative-Lindley (NB-L) Binomial distribution. Determination of the Bühlmann-Straub parameter is determined by using the basic rules in probability theory. From the study that has been carried out, an explicit equation has been obtained to determine the credibility premium of Bühlmann-Straub. A simulation of the application of the model to the data was also provided by assuming the data follows the NB-L distribution. The NB-L distribution parameters were estimated using the momen method and maximum likelihood estimation. From the simulation, it is found that the data used had a high credibility factor value which implies the data can be considered primely for estimating future premiums.