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All Journal Bulletin of Computer Science Research Journal Science Informatica and Robotics
Khair, Nada Tsawaabul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Penerapan Information Gain Untuk Seleksi Fitur Pada Klasifikasi Jenis Kelamin Tulang Tengkorak Menggunakan Backpropagation Khair, Nada Tsawaabul; Afrianty, Iis; Syafria, Fadhilah; Budianita, Elvia; Gusti, Siska Kurnia
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.637

Abstract

Forensic anthropology and skull analysis play a crucial role in the biological identification of individuals, including sex determination. This study aims to improve the accuracy of gender classification based on skull structure by combining the Information Gain feature selection method with the Backpropagation algorithm. The dataset used is the craniometric data compiled by William W. Howells, consisting of 2,524 samples with 85 measurement features. The preprocessing stage includes data selection, data cleaning, and normalization. Feature selection was conducted using the Information Gain method with three threshold values: 0.01, 0.05, and 0.1, resulting in 79, 46, and 38 selected features, respectively. The model was evaluated using the K-Fold Cross Validation method with K=10 and K=20. The highest accuracy of 93.91% was achieved at the 0.01 threshold using the Backpropagation architecture [79:119:1], a learning rate of 0.01, and K=20. These results demonstrate that feature selection using Information Gain enhances the performance of the Backpropagation model by eliminating irrelevant features and minimizing the risk of overfitting.
IMPLEMENTASI VIRTUALISASI UNTUK PENGELOLAAN SERVER MENGGUNAKAN PROXMOX VE Permadi, Aji Bayu; Khair, Nada Tsawaabul; Kurniawan, M Rival
JOCITIS-Journal Science Infomatica and Robotics Vol. 1 No. 2 (2023): JOCOTIS - Journal Science Informatica and Robotics
Publisher : JOCITIS-Journal Science Infomatica and Robotics

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Abstract

Penelitian ini membahas implementasi dan evaluasi penggunaan Proxmox Virtual Environment (Proxmox VE) sebagai solusi untuk virtualisasi dan manajemen server. Tujuan penelitian adalah untuk mengeksplorasi efektivitas Proxmox VE dalam mengelola infrastruktur server. Metode penelitian meliputi tahap perencanaan, implementasi, dan evaluasi. Tahap perencanaan mencakup analisis kebutuhan server, konfigurasi jaringan dan identifikasi sumber daya yang diperlukan. Implementasi melibatkan instalasi Proxmox VE, konfigurasi mesin virtual, manajemen sumber daya, dan penyesuaian kebutuhan spesifik. Evaluasi menunjukkan bahwa Proxmox VE merupakan solusi yang handal dengan antarmuka intutif untuk membuat, mengelola , dan memantau mesin virtual seta sumber daya server. Kesimpulannya, implementasi Proxmox VE memberikan manfaat signifikan dalam pengelolaan server dengan efisiensi operasional yang tinggi dan manajemen sumber daya yang lebih baik, memperkuat nilai teknologi virtualisasi dalam menangani kompleksitas infrastruktur IT.
Co-Authors Elvia Budianita Fadhilah Syafria Gusti, Siska Kurnia Iis Afrianty Kurniawan, M Rival Permadi, Aji Bayu