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Sistem Rekomendasi Belajar Mandiri Menggunakan Generative AI Berbahasa Indonesia untuk Mahasiswa Informatika
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 3
, No 3
(2025)
The need for adaptive and personalized learning systems is increasing along with the advancement of information technology. Informatics students face challenges in choosing materials that suit their abilities and interests. This research aims to design and evaluate an Generative AI-based independent learning recommendation system in Indonesian that can help students navigate the learning process more efficiently. The system utilizes a generative language model to provide relevant learning materi...
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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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Image Encryption using Half-Inverted Cascading Chaos Cipheration
Setiadi, De Rosal Ignatius Moses
; Robet, Robet
; Pribadi, Octara
; Widiono, Suyud
; Sarker, Md Kamruzzaman
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
This research introduces an image encryption scheme combining several permutations and substitution-based chaotic techniques, such as Arnold Chaotic Map, 2D-SLMM, 2D-LICM, and 1D-MLM. The proposed method is called Half-Inverted Cascading Chaos Cipheration (HIC3), designed to increase digital image security and confidentiality. The main problem solved is the image's degree of confusion and diffusion. Extensive testing included chi-square analysis, information entropy, NCPCR, UACI, adjacent pixel...
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