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Analisis Keakuratan Pendekatan Hybrid ARIMAX dan Radial Basis Function Neural Network pada Pemodelan Data Curah Hujan di Kota Makassar Wahidah Sanusi; Alimuddin Alimuddin; Muhammad Farhan; Nurlaila Kaito; Nurkhalifah Anwar
Indonesian Journal of Fundamental Sciences Vol 12, No 1 (2026)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ijfs.v12i1.85986

Abstract

Abstrak. Penelitian ini bertujuan untuk mengatasi keterbatasan tersebut dengan mengembangkan sebuah model peramalan hybrid, serta menganalisis tingkat akurasinya. Menggabungkan keunggulan pemodelan linier dan non-linier, penelitian ini menerapkan arsitektur hybrid SARIMAX-Radial Basis Function Neural Network (RBFNN). Model ini dibangun melalui pendekatan dua tahap: pertama, model SARIMAX dengan parameter (0,1,1)(0,1,1)₁₂ digunakan untuk memodelkan pola linear-musiman. Kedua, RBFNN dilatih secara spesifik untuk memetakan pola non-linear yang terkandung dalam residual (kesalahan) dari model SARIMAX. Kinerja model hybrid terhadap data pengujian menunjukkan hasil yang sangat positif, terbukti secara signifikan lebih akurat dibandingkan model SARIMAX tunggal. Model hybrid menunjukkan kemampuan superior dalam mengikuti fluktuasi data aktual, yang pada akhirnya menghasilkan prediksi dengan galat yang jauh lebih rendah. Akurasi yang lebih tinggi ini dikonfirmasi melalui nilai Mean Absolute Percentage Error (MAPE) yang lebih kecil, yang mengindikasikan potensi besar dari pendekatan hybrid ini untuk menyediakan peramalan meteorologi yang lebih efektif dan dapat diandalkan untuk Kota Makassar
Students' Strategies and Creativity in Solving Mathematical Literacy Problems Usman Mulbar; Ahmad Zaki; Mar Athul Wazithah T; Muhammad Farhan
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2026): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v11i2.1044

Abstract

This study aims to describe students’ strategies and creativity in solving mathematical literacy problems. Mathematical literacy requires students not only to understand mathematical concepts but also to select appropriate problem-solving strategies and apply creative thinking in various contexts. Therefore, understanding how students use strategies and demonstrate creativity in solving mathematical literacy problems becomes important. The research employed a qualitative descriptive method involving junior high school students who were categorized into high, medium, and low ability levels based on the results of a mathematical literacy problem-solving test. The main instruments were the researchers themselves, while the supporting instruments included a mathematical literacy test, interview guidelines, and validation sheets. Data were collected through two stages of testing and two stages of interviews, and triangulation was employed to ensure data validity. In addition, triangulation across methods and time was employed to enhance the validity of the data. The results showed that students demonstrated different strategies and levels of creativity in solving problems. Students in the high-ability category were able to understand problems well, choose appropriate strategies, and exhibit all indicators of creativity—fluency, flexibility, and novelty. Medium-ability students showed fluency and novelty or flexibility and novelty, while low-ability students generally did not meet any creativity indicators due to difficulties in understanding the problems and selecting proper strategies.