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ISU SOSIOSAINTIFIK DALAM PEMBELAJARAN KIMIA : SYSTEMATIC LITERATURE REVIEW Nabila, Alya Salsa; Okmarisa, Heppy; Humaira, Tarisa
Konfigurasi : Jurnal Pendidikan Kimia dan Terapan Vol 9, No 2 (2025)
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/konfigurasi.v9i2.37800

Abstract

This study aims to assess the use of socioscientific issues (SSI) in chemistry learning at the SMA/MA level based on a systematic literature analysis. Using the PRISMA method, 25 articles published between 2019 and 2024 were analyzed to evaluate trends, learning materials, and the impact of SSI implementation in the context of chemistry education. The analysis showed that organic chemistry and environmental chemistry had the highest proportion of use (16%), followed by acid-base, polymers, electrolyte solutions, and thermochemistry. The year 2022 became the peak of SSI-related publications with 7 articles, while 2023 showed a significant decline with only 1 article. The use of SSI is proven effective in improving learning relevance, student motivation, critical thinking skills, andenvironmental awareness. This research provides guidance for chemistry teachers to design SSI-based learning that is contextual, applicable, and meaningful
ANALISIS KORESPONDENSI PADA POLA HUBUNGAN ANTARA JENIS BENCANA DAN STATUS KORBAN DI SUMATERA TAHUN 2024 Muhammad Al-Farisy; Mulyani, Riska; Riswan, M.; Humaira, Tarisa; Adani, Lathifah Putri
Indonesian Journal of Environment and Disaster Vol. 5 No. 1 (2026): Articles in Press
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijed.v5i1.2670

Abstract

CORRESPONDENCE ANALYSIS OF THE RELATIONSHIP PATTERN BETWEEN DISASTER TYPES AND VICTIM STATUS IN SUMATERA IN 2024 This study analyzes the relationship between provinces, types of disasters, and types of disaster victims in 10 provinces on Sumatra Island using correspondence analysis. The data includes seven disaster types and five victim categories from Aceh, North Sumatra, West Sumatra, Riau, Riau Islands, Jambi, Bengkulu, South Sumatra, Bangka Belitung Islands, and Lampung. Descriptive results show floods as the most frequent disaster, while the "suffering victims" category appears most often. The chi-square test yields a p-value < 2.2e-16, indicating significant relationships between all variable combinations. The correspondence plot reveals distinct patterns: Lampung often faces extreme weather and earthquakes; West Sumatra and Riau are prone to landslides; Riau Islands and Aceh to forest and land fires; and Bengkulu to drought. Victim distribution also varies, West Sumatra reports more displaced victims, while most other provinces have predominantly suffered victims. In terms of disaster impacts, landslides are linked to fatalities, forest and land fires to displacement, and floods to suffering and missing victims. These findings highlight the interconnectedness of regions, disaster types, and victim impacts, offering important insights for disaster risk management and mitigation efforts across Sumatra.