Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Tunas Geografi GeoEco
Batubara, Rina Mawardah
Unknown Affiliation
Astronomy Earth & Planetary Sciences Education Environmental Science Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Dynamics of Integrated Social Studies Learning Implementation in Junior High Schools: Case Study at SMPN 41 Medan Wardani, Aulia; Efranita Purba, Desi Marcelina; Batubara, Rina Mawardah; Sugiharto, Sugiharto; Lubis, Darwin Parlaungan; Novira, Nina; Permana, Sendi; Vanda, Vanda
Tunas Geografi Vol. 13 No. 2 (2024): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v13i2.65527

Abstract

Integrated social studies learning is a form of integrative learning applied in junior high schools by integrating several disciplines into one subject, namely geography, economics, sociology, and history. This provides obstacles for teachers teaching integrated social studies learning. The study aimed to determine the teachers' constraints and students' understanding of integrated social studies learning at SMPN 41 Medan. The research method used is a descriptive qualitative method. The study results explain that the teacher's constraints in integrated social studies learning include difficulty understanding learning material outside the science teacher's field, limited time allocation, lack of learning facilities and infrastructure, and differences in each student's characteristics. Student understanding in terms of Integrated IPS learning is very high. This can be seen from students' interest during the learning process. It attracts students' attention with a percentage of 87.5% so that the majority of students in this situation feel the learning process is enjoyable and is considered a positive indication that teaching methods and strategies the learning used by the teacher has succeeded in attracting student interest so that they can understand the Integrated Social Sciences learning material. Students' understanding of social studies learning can be a benchmark for teacher success in integrating several disciplines into one subject.
IDENTIFYING CHANGES IN MANGROVE FOREST DISTRIBUTION IN LANGKAT REGENCY USING GOOGLE EARTH ENGINE Batubara, Rina Mawardah; Rahmadi, M Taufik; Harefa, Meilinda Suriani; Lubis, Darwin Parlaungan; Permana, Sendi; Nikmah, Rifqi Ulfatun; Pratama, Alvin
GeoEco Vol 11, No 2 (2025): GeoEco July 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i2.99525

Abstract

Mapping the distribution of mangrove forests is very important to determine the ecological changes, because mangroves protect biodiversity. Google Earth Engine (GEE) is a cloud-based platform that can analyse the distribution of mangrove forests in a complex and efficient manner. This study aims to analyse the use of Google Earth Engine in monitoring changes in the distribution of mangrove forests in Langkat Regency from 2018 to 2024. This study uses Sentinel-2A image data by applying NDVI computed on Google Earth Engine (GEE). The results of the study show that there has been a change in the distribution of mangrove forests from 27,095.4 Ha (2018) to 26,700.56 Ha (2021) and to 24,685.74 Ha (2024), which shows a reduction in distribution by 394.84 Ha (2018-2021) and 2,014.82 Ha (2021-2024). The largest change in distribution occurred in Pangkalan Susu District with a reduction in area of 307.99 Ha (2021) and 984.64 Ha (2024). Changes in the distribution of mangrove forests are caused by human activities in land clearing for ponds and oil palm plantations. The accuracy test of the Sentinel-2A image uses a Confusion Matrix with an Overall Accuracy of 85%. This study shows the potential that Google Earth Engine-based Citra Sentinel-2A data can be used to monitor the distribution of mangrove forests.
Co-Authors Darwin P. Lubis, Darwin Efranita Purba, Desi Marcelina Harefa, Meilinda Suriani Nikmah, Rifqi Ulfatun Novira, Nina Pratama, Alvin Rahmadi, M Taufik S. Sugiharto Sendi Permana Vanda, Vanda Wardani, Aulia