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All Journal Child Education Journal Jurnal Riset Mahasiswa Matematika
Sari, Silvi Puspita
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Education Mathematics

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Inexact Generalized Gauss--Newton--CG for Binary Cross-Entropy Minimization Jamhuri, Mohammad; Sari, Silvi Puspita; Amiroch, Siti; Juhari, Juhari; Fitria, Vivi Aida
Jurnal Riset Mahasiswa Matematika Vol 5, No 2 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v5i2.34739

Abstract

Binary cross-entropy (BCE) minimization is a standard objective in probabilistic binary classification, yet practical training pipelines often rely on first-order methods whose performance can be sensitive to step-size choices and may require many iterations to reach low-loss solutions. This paper studies an inexact curvature-based solver that combines a (generalized) Gauss–Newton approximation with conjugate gradient (CG) inner iterations for minimizing the regularized BCE objective in full-batch logistic regression. At each outer iteration, the method computes a descent direction by approximately solving a damped Gauss–Newton system in a matrix-free manner via repeated products with X and X⊤, and terminates CG according to a relative-residual inexactness rule. Numerical experiments on three benchmark datasets show that the proposed Inexact GGN–CG can substantially reduce the number of outer iterations on smaller numerical data, while remaining competitive in predictive performance, and can improve both validation and test mean BCE on larger mixed-type data after one-hot encoding. In particular, on Adult Census Income the method achieves lower test mean BCE (0.3176 ± 0.0044) and higher F1-score (0.6623 ± 0.0066) than Adam and gradient descent under the same regularization-selection protocol, at the cost of additional CG work. These results highlight how damping and inexactness jointly govern the trade-off between curvature-solve effort, wall-clock time, and achieved BCE values in deterministic logistic-regression training.
Meningkatkan Kemampuan Berbahasa Daerah Melalui Cerita Rakyat Digital pada Siswa Sekolah Dasar: Sebuah Studi Pengembangan Ayu, Rr. Fadila Kusumaning; Sari, Silvi Puspita; Setiawan, Berliana Yunarti; Fitriyah, Fifi Khoirul
Jurnal Pendidikan Anak Vol 1 No 2 (2019): Bahasa sebagai Sarana Komunikasi dan Penyaluran Emosi Anak: Issue : Desember
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/cej.v1i2.1356

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ABSTRAK : Penelitian ini bertujuan untuk mengembangkan media cerita rakyat digital berupa aplikasi “Hikanusa” yang digunakan untuk mempertahankan Bahasa Daerah. Jenis penelitian ini menggunakan Research and Development (R&D). Uji ahli dilakukan oleh dua orang yaitu, ahli Sistem Informasi dan ahli pendidikan Bahasa Daerah. Aplikasi “Hikanusa”dapat dijadikan sebagai media pembelajaran bagi siswa sekolah dasar sehingga siswa mudah belajar bercerita menggunakan Bahasa Daerah. Harapannya jumlah generasi penutur akan bertambah mencegah dari kepunahan Bahasa Daerah. Saran untuk penelitian selanjutnya: untuk menguji efektifitas aplikasi “Hikanusa” menggunakan metode eksperimen. ABSTRACT : This research aims to develop digital folklore media in the form of the "Hikanusa" application that is used to maintain the regional languages. This type of research uses Research and Development (R&D). Expert tests were carried out by two people namely, Information Systems experts and Regional Language education experts. The application "Hikanusa" can be used as a learning medium for elementary school students so that students easily learn to tell stories using the Local Language. It is hoped that the number of speakers generation will increase to prevent the extinction of regional languages. Suggestions for further research: to test the effectiveness of the "Hikanusa" application using the experimental method
Co-Authors Ayu, Rr. Fadila Kusumaning Fifi Khoirul Fitriyah Juhari Juhari, Juhari Mohammad Jamhuri Setiawan, Berliana Yunarti Siti Amiroch, Siti Vivi Aida Fitria