Undergraduate Theses
Undergraduate Theses
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Klasifikasi Anomali pada Gambar Rontgen Dada dengan Metode Machine Learning Menggunakan Histogram of Oriented Gradient dan Random Forest
(Universitas Sumatera Utara, 2024)Before confirming that there is an abnormal condition, doctors use radiological examinations as the first step in diagnosing lung disease. To classify unusual conditions, an examination is carried out via a chest x-ray. ... -
Identifikasi Jenis Buah Salak Menggunakan Algoritma SSD-MobileNet
(Universitas Sumatera Utara, 2024)Salak is a tropical fruit that has various varieties with subtle but significant morphological differences. This research aims to identify snake fruit types using the SSD Mobilenet method in digital image analysis. The ... -
Klasifikasi Jenis Kulit Wajah Dengan Menggunakan Algoritma SSD-MobileNet
(Universitas Sumatera Utara, 2024)Identifying facial skin type is an important aspect in dermatology and the cosmetics industry because each skin type requires different care. By knowing your skin type, more appropriate products and treatments can be ... -
Permainan Petak Umpet dengan Pemanfaatan Artificial Intelligence Pathfinding A* Menggunakan Virtual Reality
(Universitas Sumatera Utara, 2024)Hide and seek is one of the most popular games among children, and is often played in recreational events. In an effort to bring the experience to be more attractive, this research aims to design a hide-and-seek game that ... -
Pemodelan 3D Organ Pernapasan Hewan Vertebrata Menggunakan Augmented Reality dengan Metode Markerless
(Universitas Sumatera Utara, 2024)The respiratory system is an important system in living things, including vertebrate animals. The respiratory system is one of the topics taught in biology lessons that require learning media to make observations. Meanwhile, ... -
Prediksi Pertumbuhan Tanaman Tomat Berdasarkan Pengambilan Citra oleh Robot Menggunakan Gradient Boosting
(Universitas Sumatera Utara, 2024)In conventional farming methods, farmers must be directly involved in monitoring the growth of plants in the field. Any negligence in the monitoring process can hinder the growth of the plants themselves. Soil moisture ... -
Coreference Resolution untuk Teks Bahasa Indonesia Menggunakan Random Forest Classifier
(Universitas Sumatera Utara, 2024)Coreference Resolution is a subtask in Natural Language Processing (NLP) that focuses on identifying and solving the reference problem of two or more similar entities in text. In Indonesian texts, especially in novels, ... -
Sistem Penginderaan Terintegrasi untuk Pemantauan Kondisi Lahan Tanam dan Otomatisasi Penjadwalan Penyiraman Tanaman Menggunakan Algoritma Long Short-Term Memory
(Universitas Sumatera Utara, 2024)With current technological advancements, humans can utilize technology as an assistant in various fields, including agriculture. Agricultural practitioners, specifically farmers, can leverage technology as an assistant in ... -
Klasifikasi Citra Sidik Jari Menggunakan Convolutional Neural Network Berdasarkan Tipe Pattern pada Sistem Henry
(Universitas Sumatera Utara, 2024)Fingerprint is one of the biometric forms used for identifying a person. Fingerprint has unique ridge arrangement on each human finger and do not change with age. The ridges on fingerprint create distinct and different ... -
Analisis Sentimen Pengguna Media Social X terhadap Vaksinasi Covid 19 Menggunakan Lexicon Based dan Naive Bayes
(Universitas Sumatera Utara, 2024)Facing the COVID-19 pandemic, understanding public sentiment towards COVID-19 vaccination through social media, particularly Social Media X, is crucial. This research aims to analyze Social Media users' sentiments regarding ... -
Prediksi Pertumbuhan Tanaman Wortel Berdasarkan Hasil Penginderaan Kondisi Lingkungan Tanam Menggunakan Multiple Linear Regression
(Universitas Sumatera Utara, 2024)Controlling plant growth is still done manually by observers, which can take quite a long time. For this reason, it is necessary to have tools for observers to monitor plant growth and development and predict so that there ... -
Klasifikasi Kualitas Biji Jagung Menggunakan Metode Faster Region Convolutional Neural Network
(Universitas Sumatera Utara, 2024)Maize is the second food commodity after rice. Corn also has various qualities. Determining the quality of corn kernels plays an important role in determining the selling price of corn kernels, in determining the quality ... -
Klasifikasi Penyakit pada Buah Kakao Menggunakan Metode Faster Region Convolutional Neural Network
(Universitas Sumatera Utara, 2024)Cocoa (Theobroma cacao L.) is a perennial plant in the form of a tree that originates from South America. From the seeds of this plant, it is typically processed into a consumable product commonly known as chocolate. ... -
Sistem Rekomendasi Objek Wisata Pantai dengan Menggunakan Metode AHP dan Vikor
(Universitas Sumatera Utara, 2024)Indonesia is the largest archipelagic country in the world with abundant natural resources, especially in the field of beach tourism. One area that offers diverse beach tourism destinations is Serdang Bedagai Regency. The ... -
Penerapan Algoritma Fisher Yates Shuffle dan Fuzzy Tsukamoto dalam Pengembangan Media Pembelajaran pada Materi Sekolah Dasar Berbasis Augmented Reality Menggunakan Model Pengembangan Hannafin & Peck
(Universitas Sumatera Utara, 2024)The introduction of the properties of light is one of the topics taught to students at level IV of primary school. However, because the learning media used is still conventional, students still have difficulty understanding ... -
Penerapan Metode TF-IDF dan Deep Neural Network (DNN) pada Chatbot Layanan Informasi Akademik Fasilkom-TI USU
(Universitas Sumatera Utara, 2024)One of the roles of educational institutions is to meet the information needs of students. The availability of valid information that is easily accessible is very vital in the field of education, particularly in the ... -
Ekstraksi Data E-KTP untuk Pencatatan Peserta Vaksinasi Covid-19 dengan Metode YOLO V7 dan Paddle OCR Berbasis Android
(Universitas Sumatera Utara, 2024)The advancement of information technology has significantly contributed to assisting human tasks. For instance, the manual data recording process in health centers indicates that the use of technology in Indonesia is not ... -
Deteksi Keberadaan Manusia untuk Mengontrol Pengguna Televisi dengan YOLOv5 secara Real Time Menggunakan Rock Pi
(Universitas Sumatera Utara, 2024)The use of electronic devices is increasingly used by the community today, including television. Television functions as entertainment. However, there are some people who only turn on the television but no one is in the ... -
Klasifikasi Jenis Buah Apel Secara Real-Time Menggunakan SSD-Mobilenet
(Universitas Sumatera Utara, 2022)Apples are one type of fruit commodity that is very easy and often found in Indonesia. In classifying the types of apples, it is determined by several parameters, including weight, size, weight, characteristics, color, and ... -
Implementasi EfficientNetV2 untuk Identifikasi Melanoma melalui Citra Dermoskopi
(Universitas Sumatera Utara, 2023)Melanoma is one of the deadliest types of skin cancer because it can spread throughout the body through the blood vessel and lymph system. A common symptom of melanoma is the appearance of black, brown or red spots on the ...