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PENGARUH PENERAPAN MODEL SSCS (SEARCH, SOLVE, CREATE, AND SHARE) BERBASIS GAMIFIKASI TERHADAP PEMAHAMAN KONSEP FISIKA SISWA Hamdi; Saiful, Muhammad; Afriza, Afriza
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.44465

Abstract

This study aims to determine the effect of the implementation of the gamification-based Search, Solve, Create, and Share (SSCS) learning model on students' understanding of physics concepts at MAN 4 Pidie. The main problem behind this study is the low level of student engagement and procedural understanding of concepts in physics subjects. The research method used is a quasi-experimental with a Non-equivalent Control Group Design. The research sample consisted of 60 students divided into an experimental class (n = 30) and a control class (n = 30). The research instrument used a concept understanding test in the form of validated reasoned multiple-choice questions. The results of data analysis showed that the average post-test score of the experimental class reached 86.4, significantly higher than the control class of 70.2. Hypothesis testing using the Independent Sample T-Test produced a significance value of 0.000 (<0.05), which means there was a real effect of the treatment given. The improvement in student abilities in the experimental class was in the High category with an N-Gain value of 0.76, while the control class was in the medium category (0.48). The integration of gamification elements such as a point system and leaderboard was proven to be effective in increasing intrinsic motivation and retention of students' conceptual understanding. The conclusion of this study is that the gamification-based SSCS model is very effective in improving the quality of physics learning at the Madrasah Aliyah level.  
Analysis of the Effects of the Indian Ocean Dipole (IOD) and the Madden-Julian Oscillation (MJO) on Rainfall During the Dry Season in Padang Endar Sabila; Nofi Yendri Sudiar; Hamdi; Letmi Dwiridal
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 3 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i3.11971

Abstract

Dry-season rainfall in Padang is highly variable and can reach extreme intensities; however, the influence of global atmospheric phenomena on rainfall variability during June–August (JJA) remains insufficiently understood. This study examined the relationships of the Madden–Julian Oscillation (MJO) and Indian Ocean Dipole (IOD) with dry-season rainfall variability in Padang. The analysis used daily MJO index data from the Bureau of Meteorology, monthly Dipole Mode Index data from JAMSTEC, and rainfall records from Minangkabau International Airport Station for 1991–2020 and Teluk Bayur Maritime Meteorological Station for 1994–2020. Pearson correlation and cross-correlation analyses were employed to determine the strength, significance, and temporal lag of the relationships between MJO and IOD activity and rainfall. MJO Phase 3 was positively and significantly correlated with JJA rainfall at Minangkabau International Airport Station (r = .254, p = .003) and Teluk Bayur Station (r = .232, p = .006), whereas MJO Phase 4 showed no significant relationship. Cross-correlation analysis identified a significant negative relationship at a lag of approximately 10–12 days, indicating that rainfall tends to decrease 10–12 days after the active MJO passes. By contrast, the negative IOD was not significantly associated with JJA rainfall in either the contemporaneous or lagged analyses. These findings demonstrate that MJO Phase 3 is more closely associated with dry-season rainfall variability in Padang than either MJO Phase 4 or the negative IOD. Monitoring MJO Phase 3 may therefore provide useful supplementary information for medium-range dry-season rainfall forecasting in the region.