Department of Information Technology: Recent submissions
Now showing items 141-160 of 1385
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Reduksi Dimensi Data Microarray untuk Peningkatan Kinerja Algoritma Naïve Bayes dalam Pengklasifikasian
(Universitas Sumatera Utara, 2024)According to Global Burden of Cancer study released by the World Health Organization (WHO) in 2020, there were 396,914 cancer cases in Indonesia with total deaths reaching 234,511 cases. To reduce these cases, early detection ... -
Deteksi Plagiarisme Logo Menggunakan Generative Adversarial Network
(Universitas Sumatera Utara, 2024)Logo as a graphic form and visual representation of a company, organization, or brand, has been widely utilized and disseminated across the internet. This accessibility makes logo easily replicable, allowing for the ... -
Analisis Kriptografi Skema Hibrida pada Kombinasi Algoritma Rprime RSA dan XTEA (Extended Tiny Encryption) dalam Pengamanan Pesan Cepat
(Universitas Sumatera Utara, 2024)The exchange of information in everyday life is always necessary. In its application, communication or information exchange can be done directly or indirectly (digitally). Conducting information exchange or communication ... -
Peningkatan Akurasi Long Short-Term Memory (LSTM) Menggunakan Fasttext dan Glove untuk Penerjemah Bahasa Batak-Indonesia
(Universitas Sumatera Utara, 2024)Automatic translation of regional languages into Indonesian is a complex challenge in the field of natural language processing (NLP). This research aims to improve the accuracy of the Long Short Term Memory (LSTM) model ... -
Signcryption dengan Menggunakan Algoritma AAβ dan DSA dalam Mengamankan Dokumen Digital
(Universitas Sumatera Utara, 2023)The swift development of the current digital era is directly proportional to the emergence of several security issues in digital data transmission, especially in data confidentiality and authentication. The modernisation ... -
Peningkatan Akurasi Algoritma Decision Tree dengan Teknik XGboost pada Diagnosis Penyakit Hewan
(Universitas Sumatera Utara, 2024)This research aims to develop an expert system for initial diagnoses of skin diseases in cats using the Decision Tree method. It assists cat owners in identifying skin diseases based on observed symptoms. Data from expert ... -
Analisis Perbandingan Ekstraksi Fitur CC-PEV dan Subtractive Pixel Adjacency Matrix dalam Steganalisis Berbasis Machine Learning
(Universitas Sumatera Utara, 2024)Steganalysis is a technique used to detect hidden messages in steganographic images. It involves detecting the existence of hidden messages in digital media. Recent steganography techniques have gained attention due to ... -
Analisis Akurasi pada Pengenalan Tanda Tangan Menggunakan Convolutional Neural Network dan Directed Acyclic Graph
(Universitas Sumatera Utara, 2024)This research highlights challenges in authenticating signatures and aims to improve accuracy by comparing various parameters and CNN models. While previous studies have shown promising results using CNNs for signature ... -
Peningkatan Kinerja Algoritma Apriori dengan Pendekatan Metode Transaction Reduction dan Hash Based
(Universitas Sumatera Utara, 2024)The apriori algorithm is an algorithm that generates candidate itemsets incrementally and recursively to calculate and combine itemsets until no candidate itemset. Apriori algorithm has limitations, namely requiring a ... -
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 ... -
Identifikasi Anemia melalui Citra Konjungtiva Mata Menggunakan Metode K-Means Clustering dan Convolutional Neural Network
(Universitas Sumatera Utara, 2024)Anemia is a serious health problem that, if not promptly and accurately addressed, can lead to death. Anemia examinations can generally be performed invasively and non-invasively. Invasive examinations require time and ... -
Klasifikasi Batubara Berdasarkan Peringkat Kualitas Menggunakan Faster Region Convolutional Neural Network
(Universitas Sumatera Utara, 2022)Coal is a sedimentary rock made up of plant remains that have accumulated through time which can also be used as fuel. Coal has several levels of quality with different functions in each quality. This causes the importance ...