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PENGARUH KOMITMEN ORGANISASI TERHADAP KINERJA GURU DI SEKOLAH MENENGAH PERTAMA Muhtasor; Hasan Hariri; Sowiyah; Handoko
Improvement: Jurnal Ilmiah untuk Peningkatan Mutu Manajemen Pendidikan Vol. 12 No. 2 (2025): Improvement: Jurnal Ilmiah Untuk Peningkatan Mutu Manajemen Pendidikan
Publisher : Program Studi Manajemen Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/improvement.v12i2.61518

Abstract

This study aims to analyze the effect of organizational commitment on the performance of public junior high school teachers in Pringsewu Regency. The research method used is quantitative with an ex post facto design and correlational method. The research population includes 822 teachers, with a sample of 274 teachers selected using Proportionated Random Sampling. Data analysis was conducted using simple linear regression and partial t-tests. The results showed that organizational commitment had a positive and significant effect on teacher performance, with a contribution of 74.9%. These findings indicate that teachers with high commitment work more professionally, are more disciplined, and are more responsible, thereby improving the quality of learning.
Application of Utopia and Graxpert AI in Studying Celestial Objects to Support Research and Education Interests at the High School Level, and Public Outreach Iwan Maryawan; Robiatul Muztaba; Herpratiwi; Sowiyah; Melya Riniarti; Ririn Andriyani; Aditya Abdillah Yusuf
Jurnal Penelitian Pendidikan IPA Vol 12 No 6 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i6.14499

Abstract

UTOPIA is a remotely operated robotic telescope developed by Observatorium Astronomi Itera Lampung (OAIL) to support astronomy education and research. Integrated with an Android-based control system, it enables remote observations and is applied across different levels of astronomy education. This study integrates UTOPIA with GraXpert, an open-source artificial intelligence tool for astronomical image enhancement through background extraction and noise reduction. A program involving 30 senior high school students was conducted through guided celestial observations, data acquisition, and collaborative image analysis. Participants were introduced to optical telescope principles, CCD imaging, and basic astronomical data processing, while GraXpert was used to enhance nebular image quality and visualization. The effectiveness of the program was evaluated using pre-test and post-test assessments. Results show a significant increase in understanding, with the mean score rising from 10.33 to 25.10 and a normalized gain of 0.75, indicating high conceptual improvement. Questionnaire results indicate positive learning perception, with most participants reporting improved understanding of nebular objects and better comprehension of the UTOPIA system, reflected in dominant positive responses. These findings demonstrate that integrating robotic telescopes with AI-based image processing supports astronomy education and improves students’ conceptual understanding through inquiry-based activities.