Browsing Department of Computer Science by Issue Date
Now showing items 1-20 of 1340
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Integrasi Metode CURE dan SHAP dalam Pemetaan Analisis Faktor Risiko Stunting di Kota Medan
(Universitas Sumatera Utara, 2026)Stunting is a chronic nutritional problem that remains a major challenge in public health development in Indonesia, including in Medan City, as it directly affects the quality of human resources in the long term. This ... -
Implementasi Algoritma XGBoost untuk Klasifikasi Stunting pada Anak di Kota Medan
(Universitas Sumatera Utara, 2026)Machine learning (ML) does not rely on explicitly written programming instructions. In the healthcare sector, ML is widely used for classification tasks, including the classification of stunting risk in children. This study ... -
Sistem Pendeteksi Spam Pesan Singkat Bahasa Indonesia Menggunakan IndoBERT dan Multi-Graph Convolutional Network
(Universitas Sumatera Utara, 2026)Short Message Service (SMS) in Indonesia remains a primary medium for disseminating unwanted spam content, ranging from aggressive commercial advertisements to harmful financial fraud attempts that pose significant risks ... -
Prediksi Arah Tendangan Penalti Berbasis Estimasi Pose dan Run Up Sequence Penendang Menggunakan Algoritma Long Short Term Memory (LSTM) dan 1D Convolutional Neural Network (CNN)
(Universitas Sumatera Utara, 2026)Penalty kicks are decisive moments that can determine football match outcomes. For goalkeepers, the ability to read kick direction before the ball is struck provides an invaluable advantage. This research develops a penalty ... -
Pendekatan Model Reduced Gradient – Mixed Non Linier untuk Optimasi Pemeliharaan Kebun Kopi
(Universitas Sumatera Utara, 2026)Optimizing the allocation of limited workers for the maintenance of smallholder coffee farms using a Mixed-Integer Nonlinear Programming (MINLP) model results in high computational complexity. Unlike other similar studies, ... -
Pengenalan Ekspresi Wajah dengan ResNeXt
(Universitas Sumatera Utara, 2026)Facial expressions are movements or positions in human facial muscles that are one way humans convey their emotional states. Facial expression recognition is one of the important fields in computer vision because automatic ... -
Optimasi Sistem Pencarian Karya Ilmiah dari Repositori Institusi USU Berbasis Large Language Model (LLM) dengan Retrieval-Augmented Generation (RAG)
(Universitas Sumatera Utara, 2026)The Institutional Repository of Universitas Sumatera Utara (USU) currently uses a keyword-based search system that has limitations in understanding semantic context and variations of natural language queries, which often ... -
Implementasi Metode IndoBERT Untuk Analisis Emosi Pada Ulasan Pengguna Aplikasi M-Paspor
(Universitas Sumatera Utara, 2026)The M-Paspor application serves as an essential digital platform for managing passport services online, making user reviews on the Google Play Store a valuable source for understanding public experiences with the system. ... -
Implementasi Algoritma Long Short Term Memory (LSTM) dalam Memprediksi Konsumsi Energi Baru Terbarukan
(Universitas Sumatera Utara, 2025)Increased global energy consumption is driving countries around the world to look for alternative energy sources. With the limited availability of fossil fuels, renewable energy is the right solution to address global ... -
Pengembangan Dataset Berbahasa Indonesia untuk Automated Essay Scoring (AES) dengan Fitur Feedback melalui Implementasi Teknik Fine-Tuning BERT pada Platform Website
(Universitas Sumatera Utara, 2025)Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that facilitates how computers can interact with humans using language that we understand, either in text or voice. One of the applications of ... -
Implementasi Clustering Using Representatives (CURE) dalam Pengelompokan Status Malnutrisi pada Lansia
(Universitas Sumatera Utara, 2025)Malnutrition is a serious problem that often occurs in the elderly, which can cause negative impacts in health, social and care aspects. The elderly are vulnerable to malnutrition due to physiological decline, limited ... -
Penerapan Convolutional Neural Network dalam Deteksi Autism Spectrum Disorder pada Anak Melalui Identifikasi Tulisan Tangan
(Universitas Sumatera Utara, 2025)Autism Spectrum Disorder (ASD) is defined by difficulties in communication, social interactions, and behavioral patterns. Children with ASD often face difficulties in fine motor activities, including handwriting, which ... -
Perbandingan Kinerja Algoritma Ridge dan LASSO Regression dalam Prediksi Persentase Lemak Tubuh
(Universitas Sumatera Utara, 2025)Body Fat Percentage (BFP) is an accurate measurement for diagnosing obesity, the main factor causing obesity is an energy imbalance between calorie expenditure and intake. People who are obese are more likely to ... -
Optimalisasi Prediksi Harga Beras di Provinsi Sumatera Utara Menggunakan Model Hybrid SARIMA-LSTM
(Universitas Sumatera Utara, 2025)Rice is a staple food for the people of Indonesia, making it crucial to maintain price stability and availability. A rise in rice prices can have adverse effects as it contributes to increased inflation. Therefore, rice ... -
Analisis Korelasi Luas Panen dengan Membandingkan Algoritma Linear Regression dan Random Forest untuk Prediksi Produksi Tanaman Pangan di Pulau Kalimantan
(Universitas Sumatera Utara, 2025)Food security remains a crucial issue in development, both globally and nationally. According to data from the annual report of the Directorate General of Food Crops, food production in Kalimantan has shown a declining ... -
Formulasi Optimasi Diskrit untuk Penyelesaian Permasalahan Visualisasi Data
(Universitas Sumatera Utara, 2025)The rapid development of computer technology has led to the accumulation of large amounts of high-dimensional data, creating challenges in analysis and visualization. Data visualization plays an important role in ... -
Model Validasi Gambar Target Dengan Modifikasi Algoritma Deep Neural Network pada Sensor Gambar
(Universitas Sumatera Utara, 2025)Image validation is always necessary to ensure that detected images are accurate. The higher the object image validation value, the better the object detection performance. The development of Artificial Neural Networks ... -
Implementasi Algoritma Convolutional Neural Network (CNN) dalam Klasifikasi Jenis Serangga Hama pada Gudang Beras Menggunakan Model MobilenetV3-Large Berbasis Website
(Universitas Sumatera Utara, 2025)Pest insects pose a significant challenge in rice storage warehouses, leading to a decrease in both the quality and quantity of rice during storage. The traditional manual identification of pest insects is often inefficient, ... -
Analisis Perbandingan Algoritma Random Forest dan Support Vector Machine untuk Klasifikasi Hasil Pertandingan Tim Sepak Bola Liga Utama Inggris Musim 2022/2023
(Universitas Sumatera Utara, 2025)Football is not only about the passes and shots that must be taken into account in the course of a game, but also about the composition and strategy that each team must have in order to maximize each game and win. Therefore, ... -
Analisis Prevalensi Stunting Berdasarkan Indeks Khusus Penanganan Stunting di Indonesia Menggunakan Hierarchical Density-based Spatial Clustering of Applications With Noise (HDBSCAN)
(Universitas Sumatera Utara, 2025)Stunting is a serious health problem that can affect children's physical growth and cognitive development. This study aims to classify districts/cities in Indonesia based on stunting indicators using the HDBSCAN algorithm. ...