Items where Subject is "01 MATHEMATICAL SCIENCES > 0104 Statistics > 010402 Biostatistics"

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Hafildah, Ummi and Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565 (2022) Analisis ketahanan hidup pada penderita kanker serviks menggunakan regresi cox proportional hazard. Jurnal Riset Mahasiswa Matematika, 2 (2). pp. 59-67. ISSN 2808-4926

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Ria Dhea Layla Nur Karisma (2023) Penggunaan program Random Forest pada angka kematian bayi dengan software R-Studio (sertifikat hak cipta). 000516080.

Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565 (2023) Prediksi random forest pada angka kematian bayi di Indonesia. Research Report. UIN Maulana Malik Ibrahim Malang, Malang. (Submitted)

Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565, Arinda, Tiara Setyo, Widayani, Heni ORCID: https://orcid.org/0000-0002-6966-6754 and Kusumastuti, Ari (2023) Clustering of COVID-19 provinces in Indonesia using fuzzy means cluster methods. Presented at The 12th International Conference on Green Technology (ICGT 2022), 26-27 Oct 2022, Malang, Indonesia.

Ria Dhea Layla Nur Karisma, Usman Pagalay dkk (2025) Modified boosted support vector machine pada kasus imbalanced data: Studi kasus angka kematian bayi (sertifikat hak cipta). 000983618.

Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565, Pagalay, Usman and Khudzaifah, Muhammad ORCID: https://orcid.org/0000-0001-8500-1843 (2025) Random forest classification of infant mortality rate in Indonesia: A Gini-based analysis. CAUCHY: Jurnal Matematika Murni dan Aplikasi, 10 (2). pp. 644-659. ISSN 2086-0382

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Munawar, Muhammad S., Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565 and Kharisma, Dwi I. (2025) Classification infant mortality rates (IMR) using logistic regression ensemble (LORENS). Presented at The International Symposium on Biomathematics (SYMOMATH) 2023, 6–8 August 2023, Malang.

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Pagalay, Usman, Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565, Alisah, Evawati and Palupi, Ratnaning ORCID: https://orcid.org/0009-0007-9959-5823 Modified Boosted Support Vector Machine pada Kasus Imbalanced Data: Studi Kasus Angka Kematian Bayi. Research Report. UIN Maulana Malik Ibrahim Malang, Malang. (Unpublished)

Pagalay, Usman, Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565 and Khudzaifah, Muhammad ORCID: https://orcid.org/0000-0001-8500-1843 (2024) Identifikasi faktor resiko stunting pada anak di bawah lima tahun di Indonesia menggunakan Logistics Regression Ensembles (LORENS). Research Report. LP2M UIN Maulana Malik Ibrahim Malang.