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All Journal Pepatudzu : Media Pendidikan dan Sosial Kemasyarakatan ARRUS Journal of Mathematics and Applied Science Ininnawa: Jurnal Pengabdian Masyarakat
Ayu Rahayu
Universitas Negeri Makassar
Humanities Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Physics Public Health Social Sciences Other

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Kaplan–Meier Survival Analysis of Breast Cancer Patients by Estrogen Receptor Status Ayu Rahayu
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4862

Abstract

Breast cancer is one of the leading causes of death among women worldwide, making survival analysis essential in evaluating patient survival probabilities. This study aims to estimate the survival function of breast cancer patients based on Estrogen Receptor Status using the nonparametric Kaplan-Meier estimator. Secondary data from the Breast Cancer Survival dataset on Kaggle (n = 4,024 patients) were analyzed. Variables included survival time (Survival Months), event status (Status), and Estrogen Receptor Status (Positive/Negative). Results showed that patients with Estrogen Receptor-Positive status exhibited a higher survival probability compared to Estrogen Receptor-Negative patients, as indicated by the slower decline of their Kaplan-Meier survival curve. These findings confirm that estrogen receptor status is an important prognostic factor in breast cancer and that the Kaplan-Meier estimator provides an effective nonparametric approach to evaluating patient survival
Pelatihan RStudio sebagai Upaya Peningkatan Kompetensi Mahasiswa dalam Analisis Data Statistik Nur Rahmah Yunita Abar; Alvioni Bani; Ayu Rahayu; Mariani Mariani; St. Nurhilmah Busrah
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026): Volume 04 Nomor 01 (Mei 2026)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/fzmfxr80

Abstract

Kemampuan analisis data statistik menjadi salah satu keterampilan penting yang perlu dimiliki mahasiswa dalam mendukung kegiatan akademik dan penelitian. Namun, sebagian mahasiswa masih mengalami kesulitan dalam menggunakan software statistik berbasis pemrograman, khususnya dalam pengolahan dan interpretasi data. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi mahasiswa dalam penggunaan RStudio sebagai software analisis data statistik. Kegiatan dilaksanakan pada mahasiswa semester 6 angkatan 2023 Program Studi Ilmu Aktuaria Universitas Pejuang Republik Indonesia (UPRI) melalui metode pelatihan dan pendampingan berbasis praktik langsung (learning by doing). Tahapan kegiatan meliputi instalasi software, penyampaian materi dasar penggunaan RStudio, tutorial pengolahan data statistik, serta praktik mandiri analisis data menggunakan RStudio. Evaluasi kegiatan dilakukan melalui pretest, posttest, observasi, dan dokumentasi hasil praktik peserta. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan mahasiswa dalam penggunaan sintaks dasar R, pengolahan data statistik, visualisasi data, serta interpretasi hasil analisis. Selain itu, peserta menunjukkan antusiasme dan partisipasi aktif selama kegiatan pelatihan berlangsung. Pelatihan penggunaan RStudio dinilai mampu membantu mahasiswa memahami proses analisis data statistik secara lebih sistematis dan aplikatif sehingga dapat mendukung kegiatan akademik maupun penelitian mahasiswa.
STUDI LITERATUR: PERANAN PENGGUNAAN MODEL-MODEL PEMBELAJARAN PADA MATERI INTEGRAL Ayu Rahayu; Suryadi Ishak
Pepatudzu : Media Pendidikan dan Sosial Kemasyarakatan Vol 20, No 2 (2024): Volume 20, Nomor 2, November 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/fkip.v20i2.5888

Abstract

This article presents a literature review on various learning models applied to improve mathematics learning outcomes in integral calculus. The 4 studies that form the basis of the literature study have discussions in understanding integral concepts, critical thinking skills, motivation and learning outcomes and the dimensions of character education. These four studies provide a comprehensive picture of the various approaches that can be used to improve students' understanding and learning outcomes in integral calculus. The first study highlights the effectiveness of the Problem-Based Learning (PBL) model in enhancing students' understanding of integral concepts. The PBL model has been shown to encourage active student engagement and sharpen critical thinking skills. The second study compares two learning models, Discovery Learning and Accelerated Learning, focusing on students' learning motivation and mathematics learning outcomes in integral calculus. The results indicate that Discovery Learning is more effective in improving students' motivation and their deeper understanding of integral concepts. The third study implements Lesson study with a PBL approach that incorporates character education in the class. This approach not only improves mathematical understanding but also develops students' character, such as collaboration and curiosity. Meanwhile, the fourth study develops a learning device for integral calculus based on a problem-solving model to enhance students' creative thinking abilities. These four studies demonstrate that problem-based learning models, whether PBL, Discovery Learning, or problem-solving-based instructional devices, are effective in improving students' understanding and critical thinking skills in integral calculus.
Co-Authors Alvioni Bani Mariani Mariani Nur Rahmah Yunita Abar St. Nurhilmah Busrah Suryadi Ishak