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NILAI-NILAI LITERASI DALAM AL-QUR’AN DAN IMPLIKASINYA TERHADAP TSAQOFAH QIROATIYAH Saputra, Muhammad Wahyu; Suharsono, Suharsono
Tanfidziya: Journal of Arabic Education Vol. 4 No. 02 (2025)
Publisher : Prodi. Pendidikan Bahasa Arab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36420/tanfidziya.v4i02.657

Abstract

Penelitian ini bertujuan untuk mengkaji implikasi nilai-nilai literasi dalam Al-Quran terhadap pengembangan tsaqofah qiroatiyah serta perannya dalam meningkatkan minat baca, keterampilan literasi, dan pembentukan karakter individu. Metode penelitian yang digunakan adalah pendekatan deskriptif kualitatif dengan analisis literatur terhadap ayat-ayat Al-Quran, teori literasi, serta kajian pendidikan Islam. Data dikumpulkan melalui studi kepustakaan dan dianalisis secara tematik untuk mengidentifikasi keterkaitan antara literasi Al-Quran dan penguatan budaya membaca. Hasil penelitian menunjukkan bahwa literasi dalam Al-Quran tidak hanya berfungsi sebagai aspek religius, tetapi juga memiliki peran strategis dalam membentuk generasi yang kritis, berpengetahuan, dan beretika. Integrasi nilai-nilai ini dalam pendidikan formal dan non-formal dapat memperkuat budaya literasi di masyarakat. Dengan demikian, penelitian ini memberikan landasan akademis dan rekomendasi praktis bagi pengembangan literasi berbasis Al-Quran.
Effectiveness of SAVI Learning Model on Learning Outcomes of Cost Plan Elements and Scheduling of Building Construction Azahar, Ridho; Abdulloh, Abdulloh; Handika, Pan Surya; Hilhamsyah, Hilhamsyah; Saputra, Muhammad Wahyu
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.356

Abstract

This study aims to determine the effectiveness of the SAVI learning model on student learning outcomes in the element of Cost Planning and Scheduling of Building Construction in class XI DPIB. The research used quantitative method with quasi-experimental design. Data were collected through observation and cognitive tests with 21 multiple choice questions. The research sample was 48 students from class XI DPIB 1 and XI DPIB 2 at SMK Negeri 1 Percut Sei Tuan. Data analysis was conducted using Paired Sample T-Test and N-Gain Test. The results showed significant differences between SAVI and conventional learning models with average learning outcomes of 83 and 61 respectively. 22 students in the SAVI model reached the Minimum Completion Criteria (KKM), higher than 10 students in the conventional model. The SAVI learning model showed an effectiveness of 59.010, which is included in the Moderately Effective category. Thus, the SAVI learning model can be used as a learning strategy to improve student learning outcomes that encourage more optimal student involvement.
Modeling of Land Cover Changes in Banjarbaru City South Kalimantan Province Saputra, Aswin Nur; Saputra, Muhammad Wahyu; Fatchurohman, Hendy; Aryaguna, Prama Ardha
JURNAL GEOGRAFI Vol. 16 No. 1 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i1.48121

Abstract

Urban areas often experience land cover changes. Banjarbaru is one of several cities in Indonesia that has experienced land changes. The relocation of the administrative center of Banjarmasin City to Banjarbaru City led to the development of settlements. One spatial analysis carried out to examine the phenomenon of land change is remote sensing techniques. The method that can be used is the Land Change Modeler from MOLUSCE in QGIS. This model uses the CAM (Cellular Automata Markov) method to identify land cover change and predict land cover distribution. CAM can understand and predict land change patterns by considering land use, vegetation, and cell spatial interactions. This modeling is based on land cover data for 2015 and 2020 and several supporting parameters such as DEM data and distance to roads. Based on the modeling results from 2015 and 2020, Banjarbaru City experienced a change in built-up land, with most of it occurring in the center of Banjarbaru City. Based on the Markov Chain method by looking at land changes in the previous year, the development of built-up land increased by about 8% of the Banjarbaru City area of 32917.41 hectares. Based on the prediction results, the development of built-up land is centered in the middle of Banjarbaru City, such as North and South Banjarbaru Districts, due to the development of residential development.Keywords: Land Cover, Land Change Modeller, Cellular Automata, Markov Chain