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Penerapan Model Pembelajaran Cooperatif Learning dalam Meningkatkan Kompetensi Paedagogik Guru Matematika Kelas VI melalui Pembinaan Pengawasan di Kecamatan Sekongkang Tahun Pelajaran 2019-2020 Wahiddin
Jurnal LENTERA: Jurnal Studi Pendidikan Vol 2 No 1 (2020): Edisi Agustus 2019 - Januari 2020
Publisher : Yayasan Pembina Lembaga Pendidikan (YPLP) PGRI Kabupaten Sumbawa Barat - NTB - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51518/lentera.v2i1.18

Abstract

This supervisory action research (PTKp) aims to find out the extent of supervisors' guidance to improve the ability of teachers to apply cooperative learning models of mathematics learning for VI-grade elementary school in Sekongkang District. In the supervisory action research (PTKp) is carried out in 3 cycles, the results of the actions taken are proven to be able to improve teacher performance by achieving ideal standards. From 58.89% in the first cycle, it can increase to 69.33% in the second cycle, and the third cycle 77.89%. The results of this action research show that supervisors can improve teacher performance in developing cooperative learning of elementary school sixth- grade mathematics learning with completeness reaching 100%.
Performance Evaluation of Irrigation Networks Based on Sentinel-2 Satellite Imagery and E-PAKSI Data: Vegetation Index Analysis of Water Distribution Efficiency meny sriwati; Wahiddin; Firman's Bramadhani
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 2 No. 1 (2026): April,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v2i1.528

Abstract

The pervasive inefficiency of water distribution in surface irrigation networks necessitates a transition toward objective, data-driven performance auditing. This study aims to develop an evidence-based evaluation model that quantifies the direct impact of irrigation infrastructure physical conditions on agricultural productivity. The research evaluates the nexus between infrastructure integrity and biophysical crop performance by integrating the E‑PAKSI digital database with Sentinel‑2 multispectral imagery. Conducted in the Rentang Irrigation Area, West Java, the study utilized a stratified random sampling of 215 tertiary blocks to analyze spatial variability from head to tail reaches. Vegetation health was quantified using NDVI and SAVI indices, which were subsequently correlated with the physical condition scores of regulatory structures. Results indicate a significant positive correlation (; ) between infrastructure quality and peak vegetation indices. Findings reveal that degraded tertiary gates in downstream sectors trigger water losses of up to 41.50% and planting delays of 25 days. These results imply that rehabilitation priorities must shift toward tail‑end regulatory assets to enhance distributional equity. Practically, these findings provide a strategic roadmap for irrigation authorities to prioritize budget allocations for distal gate repairs, which can potentially recover nearly half of current conveyance losses. In conclusion, the integration of satellite‑derived metrics and digital audits provides a robust framework for Irrigation Modernization 4.0, offering a foundation for future predictive maintenance models using artificial intelligence.