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Variasi Hasil Analisis Data Hasil El Nino-Southern Oscillation (ENSO) terhadap Iklim Global Ullum, Iva Tien Nur Hidayatul; Fitria, Alifatul; Widodo, Wahono
JSN : Jurnal Sains Natural Vol. 2 No. 2 (2024): Mei
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v2i2.528

Abstract

Dampak perubahan iklim, khususnya fenomena El Niño-Southern Oscillation (ENSO), merupakan ancaman serius terhadap kesehatan manusia dan ekosistem. El Niño-Southern Oscillation (ENSO), sebuah fenomena yang disebabkan oleh variasi tegangan permukaan Samudera Pasifik, mempunyai dampak signifikan terhadap iklim dunia. Suhu permukaan laut di Samudera Pasifik segera berguna untuk kekeringan dan banjir di wilayah masing-masing. Selain itu, ENSO juga mempengaruhi frekuensi dan intensitas badai tropis di berbagai wilayah. Tujuan dari penelitian ini adalah untuk memahami dampak El Niño-Southern Oscillation (ENSO) terhadap pemanasan global. Metode yang digunakan merupakan metode prisma analisis dimana sumber rujukan utama yaitu Scopus yang memperoleh 8 artikel rujukan yang mengarah pada pembahasan ENSO. Selain Scopus sumber rujukan lain yaitu melalui Google Scholar yang memperoleh 5 arikel rujukan yang sesuai dengan judul yang diambi. Studi ilmiah telah mengidentifikasi keterkaitan kompleks antara ENSO dan pola iklim global serta dampaknya pada peristiwa cuaca ekstrem seperti badai tropis, kekeringan, dan banjir. El Niño umumnya mencapai puncaknya pada musim dingin di belahan utara dan beralih ke La Niña pada musim panas berikutnya. Dengan pemahaman yang lebih baik tentang ENSO, kita dapat lebih efektif dalam melawan perubahan iklim yang disebabkan oleh fenomena ini. Kerjasama lintas batas dan upaya bersama diperlukan untuk mengurangi kerentanan terhadap dampak ENSO dan melindungi planet ini bagi generasi mendatang.
Implementation of Contextual Discovery Learning Model to Improve Scientific Literacy Ullum, Iva Tien Nur Hidayatul; Martini, Martini
Jurnal Pijar MIPA Vol. 21 No. 2 (2026)
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v21i2.11689

Abstract

Scientific literacy is an essential 21st-century competency that enables students to explain scientific phenomena, design investigations, and interpret evidence-based data. This study aims to analyze the improvement of students' scientific literacy through the application of the Discovery Learning model with a contextual approach to human respiration material. The learning context is developed through a comparative analysis of air pollution data from urban and rural areas, enabling students to examine the relationship between air quality and respiratory system disorders in a real and relevant manner. This study used a quantitative method with a one-group pretest-posttest design. The subjects were 31 eighth-grade students of SMP Negeri 1 Selorejo. The instruments used included a scientific literacy test (pretest and posttest), an observation sheet for learning implementation, and a student response questionnaire. Data analysis was carried out in stages, beginning with a normality test to determine data distribution. Because the data were not normally distributed, hypothesis testing was continued using the non-parametric Wilcoxon test. The magnitude of the increase was calculated through the N-Gain value. The results showed a significant increase in scientific literacy, as indicated by the Wilcoxon test, with an N-Gain of 0.70, which falls within the moderate category. These findings demonstrate that integrating Discovery Learning with a contextual approach grounded in urban and rural air pollution data effectively facilitates students' connections between respiratory system concepts and real-world environmental issues. Thus, this learning model contributes to strengthening scientific literacy competencies in a more meaningful and contextual way.