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Harina Fitriyani
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Kantor Program Studi Pendidikan Matematika, Lantai 7, Kampus 4 UAD, Jl. Ringroad Selatan, Tamanan, Kec. Banguntapan, Bantul, Daerah Istimewa Yogyakarta 55191, Indonesia
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AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika
Published by Universitas Ahmad Dahlan
ISSN : 23558199     EISSN : 27755746     DOI : https://doi.org/10.12928/admathedust.v11i2.28824
Core Subject : Education,
Mathematics
The aim of the Ahmad Dahlan Mathematics Education Students (AdmathEduSt), p-ISSN 2355-8199, e-ISSN 2775-5746, is to provide an academics forum for the sharing, dissemination, and discussion of result research, experience, and perspectives across a wide range of mathematics education, applied Mathematics and Mathematical Sciences. The Journal invites original research articles and not simultaneously submitted to another journal or conference. The whole spectrum of research in mathematics education are welcome, which includes but is not limited to the following topics: ICT, desaign/development reserach, mathematics ability, affective in mathematics education, etc. Research in applied mathematics includes Mathematics Modelling, Numerical Methods, graphs and Combinatorics Statistics, and research in mathematics science are Geometry, Algebra and analysis.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 13 No. 1 (2026)" : 2 Documents clear
PENGEMBANGAN E-LKPD DENGAN LIVEWORKSHEETS BERMUATAN LITERASI MATEMATIS PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL Susilawati, Erna; Rusmining, Rusmining
AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika Vol. 13 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

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Abstract

Penelitian ini dilatarbelakangi oleh perlunya bahan ajar berbasis teknologi yang dapat mendukung siswa dalam mempelajari materi Sistem Persamaan Linear Dua Variabel (SPLDV) sekaligus melatih kemampuan literasi matematis. Namun, penelitian yang mengembangkan E-LKPD berbasis Liveworksheets yang secara khusus mengintegrasikan aktivitas literasi matematis pada materi SPLDV masih terbatas. Penelitian ini memiliki tujuan untuk mengembangkan E-LKPD berbantuan Liveworksheets yang mengintegrasikan komponen literasi matematis, serta menguji tingkat validitas dan kepraktisannya. Metode yang diterapkan dalam penelitian ini yaitu Research and Development (R&D) dengan tahapan pengembangan yang berpedoman pada model ADDIE. Penelitian ini melibatkan 20 siswa kelas VIII dari salah satu SMP di Bantul sebagai subjek penelitian. Hasil uji validitas E-LKPD pada aspek materi dan media berturut-turut sebesar 74 dan 88. Kedua skor tersebut berada pada kategori baik, yang menunjukkan bahwa E-LKPD yang dikembangkan valid. Penilaian terhadap kepraktisan memperoleh skor 84,05 yang termasuk kategori sangat baik sehingga produk dapat dinyatakan sangat praktis. Berdasarkan temuan tersebut, E-LKPD yang dikembangkan dapat disimpulkan valid dan sangat praktis, serta layak digunakan dalam proses pembelajaran.
PERFORMANCE COMPARISON OF RANDOM FOREST, DECISION TREE, AND EXTRA TREES MODELS FOR RAINFALL PREDICTION IN JAKARTA Syahrin, Khairummin Alfi; Tiara Emanuella Disera; Juang Merdeka; Alamin, Mirza Virgiansah; Yosik Norman
AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika Vol. 13 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

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Abstract

Accurate rainfall prediction is important for weather monitoring and flood management in urban areas. This study evaluates the performance of three decision tree-based models, Random Forest, Extra Trees, and Decision Tree, for predicting daily rainfall in Jakarta using data from the BMKG Tanjung Priok observation station for the year 2025. The dataset, expressed in millimeters per day, was preprocessed to handle missing values and ensure consistency, and analyzed using the PyCaret library in the Jupyter Notebook environment. Model training was conducted with optimized hyperparameters, and performance was assessed using MASE, RMSSE, MAE, RMSE, SMAPE, and R². All models produced similar overall trends, although the Extra Trees model showed slightly higher fluctuations. Comparative evaluation indicated that the Random Forest model achieved the best performance, with MASE of 0.7925, RMSSE of 0.6373, MAE of 9.51 millimeters, RMSE of 14.06 millimeters, SMAPE of 1.8287, and R² of -0.8227, demonstrating superior accuracy in capturing rainfall patterns. These results suggest that Random Forest is the most suitable model for daily rainfall forecasting in Jakarta, providing reliable predictions that can support meteorologists and policymakers in improving forecast accuracy and planning.

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