Undergraduate Theses
Undergraduate Theses
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Implementasi Natural Language Understanding pada Sistem Chatbot Tahapan Audit K3 menggunakan Algoritma Long Short-Term Memory (Lstm)
(Universitas Sumatera Utara, 2025)Health, Safety and Enviroment (HSE) has known become more prominent in companies with the primary goal of protecting all workers from accidents and minimizing losses in both property and financial aspects caused in their ... -
Implementasi Algoritma FP-Growth dan Random Forest pada Sistem Pendeteksian URL Terindikasi Phishing
(Universitas Sumatera Utara, 2025)Phishing is a form of cyberattack that relies on fake URLs to lure users into sharing personal information or confidential credentials. This study aims to design a phishing URL detection system utilizing the Random Forest ... -
Implementasi SSD Mobilenet V3 Untuk Deteksi Tingkat Kepuasan Pasien di Klinik Berdasarkan Ekspresi Wajah Secara Real-Time
(Universitas Sumatera Utara, 2025)Patient satisfaction is one of the key indicators in assessing the quality of services in healthcare facilities, including clinics. Satisfaction can be measured through both verbal and non-verbal approaches. Verbal ... -
Implementasi Model Random Forest dan Whale Optimization Algorithm untuk Prediksi Hasil Panen Padi
(Universitas Sumatera Utara, 2025)Accurate prediction of rice crop yield is crucial for supporting food security, especially in rice-producing regions like Serdang Bedagai Regency, North Sumatra. Rice crop yields are influenced by various factors, including ... -
Sistem Deteksi Orang Merokok Menggunakan YOLO11 dengan Pemberitahuan Otomatis Via Telegram
(Universitas Sumatera Utara, 2025)Indonesia ranks fourth globally in terms of the highest number of smokers as of 2025. Exposure to cigarette smoke poses health risks not only to active smokers but also adversely affects passive smokers due to the toxic ... -
Deteksi Real-Time Citra Sampah Menggunakan YOLOv11 untuk Mendukung Sistem Pemilahan Sampah Otomatis
(Universitas Sumatera Utara, 2025)The large volume of unmanaged waste in Indonesia poses a significant challenge that requires innovative solutions, particularly in the area of automated waste classification and detection. This study aims to develop an ... -
Implementasi Metode YOLOv10 dan EasyOCR untuk Rekognisi Plat dan Identifikasi Sepeda Motor yang Bergerak
(Universitas Sumatera Utara, 2025)The advancement of image recognition and computer vision technology has enabled the development of more intelligent and efficient traffic monitoring systems. One of the main issues in Indonesia is the limitation of the ... -
Klasifikasi Tingkat Korosifitas Produk Minyak Bumi pada Tembaga Berdasarkan ASTM D-130 Menggunakan Convolutional Neural Network (CNN)
(Universitas Sumatera Utara, 2025)The determination of petroleum product corrosiveness based on the ASTM D-130 standard is traditionally carried out through visual observation of the color change on copper strips after immersion in the sample. However, ... -
Penentuan Lesi Emfisema Paru Menggunakan Metode Mask Region Convolutional Neural Network (Mask R-CNN) Berdasarkan Citra X-Ray
(Universitas Sumatera Utara, 2025)Emphysema, as a form of Chronic Obstructive Pulmonary Disease (COPD), is characterized by damage to the alveoli that leads to breathing difficulties and a reduced quality of life. Conventional diagnosis using X-ray ... -
Integrasi CodeBERT untuk Peningkatan Keamanan dalam CI/CD Pipeline pada Proses Deployment Aplikasi ke Cloud
(Universitas Sumatera Utara, 2025)The digital transformation and widespread adoption of cloud computing have driven the use of Continuous Integration/Continuous Deployment (CI/CD) methods in modern application development. However, conventional CI/CD ... -
Integrasi Graph-Based Retrieval Augmented Generation (GraphRAG) pada Large Language Model (LLM) dalam Pengembangan Chatbot Biomedis Multimodal
(Universitas Sumatera Utara, 2025)The availability of massive and multimodal biomedical data such as electronic health records, laboratory results, and prescriptions poses significant challenges in fast and accurate information extraction. This study aims ... -
Chatbot Interaktif Program Studi Teknologi Informasi dengan Metode Named Entity Recognition dan Long Short-Term Memory
(Universitas Sumatera Utara, 2025)The delivery of important information to students about the study program is sent through WhatsApp groups such as schedules and circulars that are often unreadable or stacked because of the large number of incoming messages ... -
Prediksi Trend Harga Saham Perusahaan Tambang Emas dengan Net Foreign Flow menggunakan Algoritma Extreme Learning Machine (ELM) dengan Particle Swarm Optimization (PSO) Berbasis Aplikasi Mobile
(Universitas Sumatera Utara, 2025)This study discusses the development of a stock price movement prediction system for gold mining companies based on a mobile application by utilizing the Extreme Learning Machine (ELM) algorithm optimized using Particle ... -
Identifikasi Gerakan Sholat Wajib dalam Menentukan Jumlah Rakaat Menggunakan Model MoveNet secara Real-Time
(Universitas Sumatera Utara, 2025)Sholat is a form of worship performed by Muslims as an expression of devotion to God, requiring a high level of focus and concentration to be accepted by Allah SWT. A lack of concentration during sholat often leads to ... -
Pengaruh Representasi Kultur Indonesia melalui Desain Visual dalam Game Beat’em Up terhadap Pengalaman Bermain Pemain dengan Evaluasi Game Experience Questionnaire (GEQ)
(Universitas Sumatera Utara, 2025)This study explores the impact of representing Indonesian social culture in the visual design of a beat’em up game on players’ gameplay experience. In this context, social culture refers to the unique elements of Indonesian ... -
Identifikasi Penyakit pada Kuku Manusia Menggunakan Arsitektur Dynamic Feature Fusion Berdasarkan Graph Convolutional Network
(Universitas Sumatera Utara, 2025)Nail disease is an important bio-indicator for detecting serious systemic diseases, but its diagnosis is often hampered by limited access to specialists and the subjectivity of visual observation. Early detection and ... -
Deteksi Tingkat Kematangan Buah Alpukat menggunakan Metode YOLOv8
(Universitas Sumatera Utara, 2025)Indonesia is one of the countries with a wide variety of plant species. The avocado is an important local fruit from Central America and Mexico that grows in most regions worldwide with tropical and subtropical climates, ... -
Implementasi Arsitektur EfficientNet pada Platform Android untuk Klasifikasi Penyakit Hipertensi Berdasarkan Citra Iris Mata
(Universitas Sumatera Utara, 2025)Hypertension is classified as a non-communicable disease and is commonly known as “The Silent Killer” due to its minimal or absent symptoms. This condition is characterized by blood pressure exceeding the normal range. ... -
Implementasi Speech Recognition pada Aplikasi Virtual Reality Training untuk Meningkatkan Kemampuan Public Speaking Mahasiswa Teknologi Informasi
(Universitas Sumatera Utara, 2025)This study aims to develop a Virtual Reality Training application by implementing speech recognition to improve the public speaking skills of information technology students. The system was developed using Unity and the ... -
Prediksi Pelanggan Churn pada Perusahaan Ekspedisi Menggunakan Algoritma Regresi Logistik
(Universitas Sumatera Utara, 2025)The freight forwarding industry in Indonesia has experienced rapid growth, driven by the rise of online shopping and technological advancement. The increasingly fierce competition in this sector pushes logistics companies ...
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