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Correlation Analysis of Social Status on Conservation Awareness in Sekaran, Semarang City Fuedsi, Fajar Wahyushi; Humaira, Hanina
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 3 No. 1 (2023): Crafting Innovation for Global Benefit
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/umygrace.v3i1.617

Abstract

This study, situated within the realm of humanities, education, law, and social sciences (HESS), explores the connection between social status and conservation awareness. It stems from the growing concern over global warming, as evidenced by the Earth's 0.89-degree Celsius temperature increase in 2022 compared to the 1951–1980 period. While global environmental challenges are well-documented, this study narrows its focus to explore the dynamics of conservation awareness within a specific community. The chosen locale for this research is Sekaran, a community within Gunungpati, Semarang City, closely connected with the University of Semarang (UNNES). The research combines qualitative methods with basic statistical analysis, employing questionnaires and interviews to collect data. Preliminary findings reveal that social status influences conservation awareness but in a nuanced manner. Contrary to expectations, high social status individuals don't consistently exhibit high conservation awareness, and conversely, those with lower social status aren't necessarily less conservation-conscious. These distinctions are observable in their daily behaviors. This study's novelty lies in its approach, delving into environmental issues from a social standpoint within a specific community. By concentrating on UNNES and the surrounding Sekaran community, it bridges the gap between global concerns and local perceptions and actions regarding environmental conservation. The results provide valuable insights into the intricate interplay between social status and conservation awareness, offering a deeper understanding of this vital topic.
The Effectiveness of Deep Learning Approaches in Improving Literacy and Numeracy in Geography Learning Wijayanto, Pradika Adi; Juhadi, Juhadi; Santoso, Apik Budi; Wicaksana, Muhammad Guruh Bintang; Kusumaningjati, Shinta; Fuedsi, Fajar Wahyushi
Jurnal Pemberdayaan Masyarakat Vol 5, No 2 (2026): Article in Press
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jpm.v5i2.660

Abstract

This study aims to implement and test the effectiveness of a Deep Learning approach that integrates literacy and numeracy competencies into Geography learning. The study is motivated by the absence of a standardized and comprehensive Deep Learning teaching module format adaptable to various Geography topics at the secondary school level to strengthen students' literacy and numeracy skills. This research developed teaching modules, student worksheets, and an information technology–based learning media called "Geo Hepi" on climate and weather material at SMAN 12 Semarang. The research method used a pre-experimental design with a one-shot case study model and a quantitative approach. The research subjects were selected through purposive sampling, namely, class XE students. Data were collected using validation questionnaires, participatory observation sheets, and documentation, and analyzed descriptively using percentage techniques and interval criteria. The results showed that students' literacy and numeracy skills were in the good category, with literacy at 89% and numeracy at 87% in the first meeting, and 88% and 83% in the second meeting. These findings indicate that the Deep Learning approach is effective in improving students' literacy and numeracy competencies in Geography learning.