Muh Basri
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Teacher’s Performance in Improving Student Learning Outcomes at SDN 75 Bentang Alauddin Alauddin; Nursalam Nursalam; Muh Basri
Edumaspul: Jurnal Pendidikan Vol 6 No 2 (2022): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v6i2.4223

Abstract

This study aimed to determine the teachers' performance in improving student learning outcomes at SDN 75 Bentang and the inhibiting and supporting factors to improve the teachers' performance. This research method used a qualitative descriptive approach, meaning that the data collected was based on the actual conditions. The aim was to find real data directly with actual conditions. The results obtained from this study indicated that the description of teachers' performance was seen from a) educating, b) teaching, c) training, d) guiding, e) assessing and evaluating, and schools in improving the performance of educators, namely by making several efforts so that the goal of the achievement was successful. Such as by making efforts to establish good relationships with other educators and providing facilities and infrastructure based on the needs of educators. Evaluating and supervising the performance of educators directly, namely before and after carrying out the teaching and learning process. However, there were still several inhibiting and supporting factors. The inhibiting factor was the number of teachers with civil servant status was insufficient. Because some of the teachers were relatives, some tasks were managed properly between school assignments and outside of the school. The supporting factors in improving teachers' performance at SD Negeri 75 Bentang were the high sense of togetherness and kinship that existed in the school environment, the high willingness to learn from the educators and the high commitment of the principal to improving the performance of teachers at SD Negeri 75 Bentang.
Implementasi Optical Character Recognition (OCR) untuk Otomasi Penghitungan Tagihan Listrik Andi Zulhijar; Muh Basri; Marlina Marlina
Jurnal Publikasi Manajemen Informatika Vol. 3 No. 3 (2024): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v3i3.3752

Abstract

With the advancement of technology, automation in various aspects of life has become a necessity, including in the electricity billing system. The use of Optical Character Recognition (OCR) for automating electricity bill calculation can be an effective solution to improve efficiency and accuracy in administrative processes. This study aims to implement OCR in the automatic calculation of electricity bills, starting with scanning the numbers printed on electricity meters. The OCR system developed in this research converts the numbers printed on the meter into digital data that can be further processed to calculate the bill based on the applicable rates. The OCR algorithm used is combined with machine learning technology to enhance the accuracy of character recognition, minimizing errors in reading the printed data. The implementation of this OCR system shows that the use of this technology can reduce human errors, accelerate the billing process, and provide more efficient access to billing information. Moreover, this system also improves transparency and accuracy in determining the cost to be paid by the customers. Therefore, the OCR-based automation system can serve as an effective and practical alternative for electricity billing management in utility companies.