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All Journal Emerging Statistics and Data Science Journal Mathema: Jurnal Pendidikan Matematika
Isnaini Rosyida
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Computer Science & IT Mathematics

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Clustering Review Pengguna Aplikasi Zenius pada Layanan Google Play Store Menggunakan Metode DBSCAN dan HDBSCAN: Clustering Review Pengguna Aplikasi Zenius Handayani, Fitri Dwi; Isnaini Rosyida
Emerging Statistics and Data Science Journal Vol. 1 No. 2 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.2.art19

Abstract

Kemajuan teknologi telah melahirkan suatu inovasi yaitu terciptanya aplikasi E-learning atau Edutech yang saat ini banyak diminati untuk membantu siswa dalam belajar mandiri di rumah. Pada Google play store beberapa rating dan review aplikasi memudahkan pengguna untuk mencari aplikasi dengan review terbaik. Adanya analisis rating dan review memungkinkan developer untuk menilai bagian mana dari aplikasi yang perlu difokuskan untuk perbaikan. Analisis ulasan terhadap topik ulasan dapat dilakukan dengan berbagai cara, salah satunya dapat menggunakan metode clustering. Penelitian ini bertujuan untuk mengetahui review dari sebuah aplikasi yang paling sering ditulis oleh pengguna aplikasi. Untuk mendapatkan hasil tersebut, dilakukan review clustering terhadap pengguna aplikasi e-learning di Google Play Store dengan menggunakan metode DBSCAN dan HDBSCAN. Selanjutnya untuk menilai metode mana yang terbaik untuk clustering dilakukan dengan membandingkan nilai rata-rata SC (Silhouette Coefficient) dari kedua metode tersebut. Hasil dari penelitian ini adalah rata-rata nilai SC metode HDBSCAN lebih baik dibandingkan dengan metode DBSCAN. HDBSCAN memiliki nilai SC rata-rata 0,2941, sedangkan metode DBSCAN hanya memiliki nilai SC rata-rata 0,1310.
Meta-Synthesis: Mathematical Problem-Solving Ability Reviewed from Students’ Self-Efficacy Erina Nurhalisha; Zaenuri Zaenuri; Kristina Wijayanti; Scolastika Mariani; Isnaini Rosyida
MATHEMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 7 No. 2 (2025): MATHEMA
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jm.v7i2.82

Abstract

Mathematical problem-solving ability is essential for individuals who study mathematics. Low mathematical problem-solving ability will result in low-quality human resources. The cause of low mathematical problem-solving ability is the lack of intensity of students doing exercises to work on mathematical problems. Mathematical problem-solving ability is closely related to students' self-efficacy. This study describes self-efficacy toward mathematical problem-solving ability, especially in mathematics learning. The method used in this study is meta-synthesis in the form of a qualitative systematic study, namely by analyzing four articles relevant to the study's title. The initial steps taken are (1) determining the questions to be studied, (2) looking for articles related to self-efficacy and mathematical problem-solving ability with a period of 2019-2024, (3) screening and selecting appropriate research articles, (4) Conducting analysis and synthesis of qualitative findings, (5) implementing quality control, and (6) concluding the final results. The analysis results concluded that self-efficacy affects students' mathematical problem-solving ability. The higher the self-efficacy, the better the ability to build mathematical knowledge through problem-solving (what is known and what is asked), the ability to solve problems that arise in mathematics and other contexts, the ability to apply and use various appropriate strategies to solve problems, and the ability to observe and reflect on the process of solving mathematical problems.
Co-Authors Erina Nurhalisha handayani, fitri dwi Kristina Wijayanti Scolastika Mariani Zaenuri Zaenuri