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PENINGKATAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS MELALUI METODE PEMBELAJARAN THINKING ALOUD PAIR PROBLEM SOLVING (TAPPS) Rike Arami Rezeki; M. Duskri; Muhammad Yani
Mathieu : Journal of Mathematics Education and Learning Vol. 2 No. 1 (2025): Penelitian Pendidikan dan Pembelajaran Matematika
Publisher : Prodi Pendidikan Matematika Fakultas Tarbiyah dan Keguruan UIN Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/mathieu.v2i1.8662

Abstract

Problem-solving ability is a crucial mathematical skill; however, students’ performance in this area remains relatively low. To address this issue, the Thinking Aloud Pair Problem Solving (TAPPS) method is assumed to enhance students’ mathematical problem-solving abilities. This study aims to (1) examine the improvement of students’ problem-solving skills after the implementation of TAPPS in Grade VII SMP, and (2) compare the improvement between students taught with TAPPS and those taught using conventional methods. The research employed a quasi-experimental design with a pretest-posttest control group. The population consisted of Grade VII students of SMP Negeri 16 Takengon, with class VII1 chosen as the experimental group and VII2 as the control group through random sampling. Data were collected through tests and analyzed using the t-test. Findings showed that the experimental group achieved an average N-gain of 0.40 (moderate effectiveness). Moreover, tcount = 7.67 > ttable = 1.68, indicating that TAPPS was significantly more effective than conventional teaching in improving students’ mathematical problem-solving skills.
Integration of machine learning and climate data for enhanced dengue hemorrhagic fever (DHF) prediction: A case study in Banda Aceh Rizka Puspitasari; Connie Cai Ru Gan; Muhammad Yani; Zahrina Zahrina; Taufik Fuadi Abidin
International Journal of Disaster Management Vol 8, No 2 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i2.47069

Abstract

The increasing impact of climate change, including rising average temperatures and altered precipitation patterns, has led to changes in the prevalence and distribution of climate-sensitive diseases (CSDs), such as Dengue Hemorrhagic Fever (DHF). DHF remains a significant public health concern in Indonesia, particularly in Banda Aceh, due to its high incidence. The burden on healthcare systems is substantial, contributing to increased morbidity and mortality, especially among vulnerable populations. This study aimed to integrate climate data with machine learning methods to develop predictive models for DHF incidence. Data from 2010 to 2023 included DHF case counts and monthly climate variables such as humidity, rainfall, temperature, and wind speed. The predictive models employed Gradient Boosting, Support Vector Regression (SVR), Random Forest, and Linear Regression algorithms. Model performance was evaluated by comparing prediction accuracy using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) metrics. The results demonstrated that the Linear Regression model predicted monthly DHF incidence with greater accuracy than the other models, as indicated by lower MAE and RMSE values. These findings suggest that integrating climate data with machine learning provides an effective tool for early warning systems for DHF, supporting public health planning and interventions in Banda Aceh City, particularly in anticipation of an increase in DHF cases.
Analisis Perbedaan Intuisi Siswa SMAN 3, SMKN 1, dan SMKN 2 dalam Pemecahan Masalah Matematika Berdasarkan Kemampuan Matematika Tinggi dan Gender Nazariah Nazariah; Cut Mawar Helmanda; Muhammad Yani; Samsul Bahri; Noviyanti Noviyanti
Jurnal Penelitian dan Pembelajaran Matematika Vol 19, No 2 (2026): JPPM (Jurnal Penelitian dan Pembelajaran Matematika) Volume 19 Nomor 2 Agustus
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jppm.v19i2.39526

Abstract

Pembelajaran matematika sangat berkaitan erat dengan kegiatan memecahkan masalah yang mengharuskan siswa untuk menemukan cara menyelesaikan masalah secara mandiri. Dalam proses ini, intuisi berperan penting dalam berpikir matematis. Perbedaan gender dapat memengaruhi karakteristik intuisi siswa saat menyelesaikan masalah matematika. Studi ini bertujuan untuk menjelaskan perbedaan intuisi antara siswa laki-laki dan perempuan di SMAN 3, SMKN 1, SMKN 2 Banda Aceh berdasarkan tingkat kemampuan matematika tinggi dalam memecahkan masalah. Studi ini menggunakan pendekatan kualitatif dengan jenis penelitian yang deskriptif. Partisipan penelitian terdiri dari enam siswa, yang terdiri atas tiga siswa laki-laki dan tiga siswa perempuan, yang dipilih berdasarkan hasil uji kemampuan matematika dan rekomendasi dari guru mata pelajaran. Data dikumpulkan melalui tes pemecahan masalah matematika dan wawancara mendalam, lalu dianalisis mengikuti langkah-langkah pemecahan masalah dari Polya. Hasil penelitian mengungkapkan bahwa: (1) terdapat perbedaan karakteristik intuisi antara siswa laki-laki dan perempuan pada setiap fase pemecahan masalah menurut Polya; (2) terdapat perbedaan bentuk serta kecenderungan intuisi dalam proses menyelesaikan masalah matematika; dan (3) perbedaan intuisi juga terlihat pada berbagai topik matematika yang diuji.