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Strategic Budget Planning for Financial Management in Primary Schools Wigiyantini, Meti; Wigiyantini, Nuryaningsih; Rohayanah, Rohayanah; Widiyasuti, Winda; Lestari, Dessy Ari; Suryaman, Maman
Journal of Basic Education Research Vol 6 No 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jber.v6i2.1784

Abstract

Purpose of the study: This study aims to identify and analyze the planning, implementation, obstacles, and strategies in budget management at primary schools to support quality education improvement. Methodology: Descriptive qualitative method; research subjects: principals, teachers, treasurers, and committee members; data collected via digital five-point Likert scale questionnaire; data analyzed through descriptive narrative based on respondent feedback. Main Findings: Budget planning is participatory and aligned with school vision. Key challenges during implementation include transparency and regulation compliance. Main obstacles: limited budget, low HR capacity, lack of infrastructure. Schools respond with training, IT use, monitoring, and stakeholder involvement to improve accountability and effectiveness. Novelty/Originality of this study: This study highlights integrated strategies combining technology, stakeholder synergy, and capacity development to overcome budget management issues, offering a holistic framework for sustainable education budgeting in primary schools.
The Influence of Perceptions of School Management Training and Work Discipline on Teacher Work Productivity Lestari, Dessy Ari; Wahyudin, Undang Ruslan; Ismaya, Bambang
Research Horizon Vol. 5 No. 6 (2025): Research Horizon - December 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.6.2025.928

Abstract

This study examines how perceptions of school management training and work discipline influence teacher work productivity. The background highlights that both training and discipline are essential for improving teacher performance but have rarely been studied together in the elementary school setting. The study aims to determine the extent to which these two variables affect productivity. Using a quantitative causal method, data were collected from 178 teachers selected through proportionate stratified random sampling and measured using a Likert-scale questionnaire. Analysis techniques included descriptive statistics, validity and reliability tests, prerequisite tests, multiple linear regression, t-tests, F-tests, and the coefficient of determination. The findings show that 75% of respondents reported that their productivity was influenced by training and discipline. Perceptions of training had a positive and significant effect on productivity (β = 0.421; t = 6.114; p = 0.000), and work discipline also showed a positive and significant effect (β = 0.398; t = 5.772; p = 0.000). Both variables simultaneously demonstrated a significant influence (F = 56.382; p = 0.000), with an R² value of 0.487, indicating that 48.7% of productivity variation is explained by these factors. The study concludes that enhancing school management training and strengthening work discipline are effective strategies for improving teacher work productivity.
Utilizing Artificial Intelligence to Support Teacher Administration and Improve Education Quality Ningsih, Nelly Rahmawati; Sarah, Diana; Finorita, Eny Tantia; Muhtadin, Muhtadin; Lestari, Dessy Ari; Suryaman, Maman
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 7 No. 1 (2026)
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v7i1.1763

Abstract

This study examines the role of artificial intelligence (AI) in supporting teachers’ learning administration and its implications for work efficiency and educational service quality in Karawang Regency. The research employs a qualitative literature review design, drawing data from national and international journals, academic books, conference proceedings, and relevant educational policy documents published over the last decade. Data analysis was conducted using thematic analysis, involving systematic literature selection, coding, categorisation, and theme development related to AI implementation, its impacts, and challenges in educational administration. The findings reveal that AI is utilised in various administrative activities, including grade processing, attendance management, electronic report card generation, academic documentation management, and real-time monitoring of student learning progress. The use of AI significantly improves teachers’ work efficiency by reducing administrative workloads, minimising data entry errors, and enhancing the accuracy and transparency of academic information. Consequently, teachers are able to allocate more time and attention to instructional planning and classroom learning activities. Despite these benefits, several challenges persist, such as inadequate digital infrastructure, disparities in teachers’ digital literacy, and concerns regarding student data security and privacy. Overall, the study concludes that AI integration in educational administration holds strong potential to improve educational service quality when supported.