Master Theses
Master Theses
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Now showing items 21-40 of 621
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Pemilahan Limbah Padat Berbahaya dan Beracun (B3) Menggunakan Teknik Pembelajaran Ensemble dengan Arsitektur VGG-16 dan Densenet – 121
(Universitas Sumatera Utara, 2024)Waste has become one of the increasingly concerning environmental issues, escalating alongside population growth and human activities. According to data obtained from the Integrated Environmental and Forestry Information ... -
Studi Perbandingan Algoritma LUC dan Algoritmavincent-Sathiyamoorthy RSA dalam Pengamanan Data Digital
(Universitas Sumatera Utara, 2024)In contemporary digital cryptography, the public key method is known. In public key cryptography, encryption and decryption keys are required. The public key algorithms used to secure messages are the LUC algorithm and ... -
Audio Watermarking dengan Menggunakan Metode Random Steganography Algorithm
(Universitas Sumatera Utara, 2024)Audio watermarking is crucial due to its vulnerability to copyright infringement, where unauthorized use and theft can harm the rights of the owner. A Random Steganography Algorithm is proposed to safeguard music ownership ... -
Hybrid Cryptosystem dengan Algoritma Enhanced RSA dan Rivest Cipher 4 Based on Chaotic Map
(Universitas Sumatera Utara, 2023)In this study, we conducted experiments using the Hybrid Cryptosystem by combining the Rivest Cipher 4 Based On Chaotic Map algorithm or RCCM, which is a variant of the RC 4 Algorithm, with the Enhanced RSA, an improved ... -
Analisis Pengembangan Model Neural Machine Translation (NMT) dengan Transformer untuk Penerjemah Bahasa Indonesia ke Bahasa Gayo
(Universitas Sumatera Utara, 2024)The Gayo language has existed alongside the Gayo people for around 7500 years, but its usage has been continually declining, and its digital documentation is very limited. Preserving the Gayo language is crucial for ... -
A Parallel Triple-Pivot Quicksort
(Universitas Sumatera Utara, 2024)The performance of sorting algorithms when applied to large datasets serves as a solution to optimize execution time. Sorting algorithms are crucial for real-time applications where response time is paramount, such as in ... -
Segmentasi Nasabah pada Data Campuran dengan K-Means Clustering
(Universitas Sumatera Utara, 2024)Customer segmentation is crucial for banks to develop marketing strategies tailored to specific customer groups. While the RFM model is commonly used, enhancing service usage expansion requires data on customer transaction ... -
Analisis Segmentasi Pemustaka terhadap Tingkat Kelulusan Mahasiswa Menggunakan K-Means Clustering
(Universitas Sumatera Utara, 2024)This research aims to analyze the use of library services and determine the correlation between user activity and student graduation through user segmentation using the K-Means algorithm. This research has several stages, ... -
Komparasi Performa Algoritma Q-Learning dan Algoritma SARSA dalam Perancangan Agen pada Permainan Catur Jawa
(Universitas Sumatera Utara, 2024)Reinforcement learning is a prominent method in the development of artificial intelligence for computer games, but its application in board games, especially traditional Indonesian board games, is still relatively limited. ... -
Optimalisasi Traffic Light Berbasis Fuzzy Logic Object Detection untuk Mewujudkan Medan Smart City
(Universitas Sumatera Utara, 2024)The automotive sector is experiencing significant growth due to technological advancements, leading to an increase in the number of vehicles on the road. This leads to severe traffic congestion, especially during peak ... -
Peningkatan Akurasi Long Short-Term Memori (LSTM) Menggunakan Word2Vec dan Fastext untuk Machine Translation Bahasa Batak-Inggris
(Universitas Sumatera Utara, 2024)This research examines the performance of the Long Short-Term Memory (LSTM) algorithm in combination with two word embedding techniques, FastText and Word2Vec, for translating text between the Batak and English languages. ... -
Analisis Pola Gejala Penyakit Jantung Menggunakan Algoritma Equivalence Class Transformation (ECLAT)
(Universitas Sumatera Utara, 2024)Heart Disease remains the leading cause of death, so much so that almost the entire world is estimated to be caused by heart-related conditions. The World Health Organization (WHO) has expressed concern about the alarming ... -
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 ...
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