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All Journal Jurnal Ilmiah Pendidikan dan Pembelajaran Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Ni Komang Sintya Dewi
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Science Literacy Aspects of Environmental Awareness of Fifth-Grade Students Influenced by The Creative Problem-Solving (CPS) Learning Model Ni Komang Sintya Dewi; Desak Putu Parmiti; Basilius Redan Werang
Jurnal Ilmiah Pendidikan dan Pembelajaran Vol. 8 No. 2 (2024): July
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jipp.v8i2.71504

Abstract

Indonesia's literacy condition is fragile, which is indicated by the low scientific literacy of students. This study was conducted to determine the effect of the Creative Problem Solving (CPS) learning model on scientific literacy in the environmental awareness aspect of fifth-grade elementary school students. This study is a quasi-experimental type using a posttest-only control group design. A total of 171 students comprised the research population, from fifth-grade elementary school students. A total of 47 students were selected as samples through random sampling techniques. In obtaining research data, a non-test method was used in the form of a questionnaire to measure scientific literacy in terms of environmental awareness. Data analysis was obtained through t-test analysis or independent sample t-test. This study shows the results that there is an effect of the Creative Problem Solving (CPS) model on scientific literacy in the environmental awareness aspect of fifth-grade elementary school students (t equals 10.198, p less than 0.05) with a relatively high effect size (ES 1.48). So, it is concluded that the Creative Problem Solving (CPS) model positively affects scientific literacy in the environmental awareness aspect of fifth-grade elementary school students. The implications of this study can develop student creativity in various learning packages.
RAINFALL ANALYSIS AND FORECASTING USING THE PROPHET METHOD ON TIME SERIES DATA Ni Komang Sintya Dewi; Adie Wahyudi Oktavia Gama
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

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Abstract

Climate change has increased rainfall variability, making it more difficult to predict rainfall patterns in terms of intensity, duration, and spatial distribution. This study aims to develop a daily rainfall forecasting model using the Prophet method, which is capable of handling seasonal patterns and long-term trends in time series data. The data used consist of daily rainfall records from 2015 to 2025 across nine regions in Bali Province, obtained from the NASA POWER platform. The research methodology includes data collection, data preprocessing, exploratory data analysis (EDA), Prophet model development with parameter optimization, cross-validation, and forecasting. Model performance is evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) metrics on test data. The results indicate that the Prophet method is capable of effectively modeling seasonal patterns and rainfall trends, producing stable predictions for future periods. This forecasting system is expected to serve as a decision-support tool in agriculture, water resource management, and hydrometeorological disaster mitigation.
Co-Authors Adie Wahyudi Oktavia Gama Basilius Redan Werang Desak Putu Parmiti