Master Theses
Master Theses
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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 ... -
Signcryption Berkas Digital dengan Algoritma Benaloh dan Elgamal Signature Scheme
(Universitas Sumatera Utara, 2023)The rapid advancement of technology makes it easier for individuals to send files digitally, but it also increases cases of file forgery and duplication, for example in the evoting process. To prevent this, it is necessary ... -
Komposisi Efisiensi Metode Autentikasi Berbasis Ecdhe-Ecdsa dan Ecdhe-RSA pada SLL/TLS Protokol Komunikasi IOT pada Mikroprosesor ESP32
(Universitas Sumatera Utara, 2023)The security of communication in the Internet of Things (IoT) is becoming increasingly important due to the exchange of sensitive data between IoT devices. The Secure Sockets Layer (SSL)/Transport Layer Security (TLS) ... -
Kinerja Klasifikasi KNN – Gower Dissimilarity dan Regresi Logistik pada Dataset Heterogen
(Universitas Sumatera Utara, 2023)The performance of K-Nearest Neighbor (KNN) classification cannot be separated from determining the distance. Classification distance calculations are usually carried out on numeric data types. However, when faced with a ... -
Analysis Kinerja Algoritma Support Vector Machine dan Xgboost Classifier dalam Prediksi Data Penyakit Jantung
(Universitas Sumatera Utara, 2023)Heart disease is a common condition in humans and can have negative impacts on health. Various data such as age, gender, blood pressure, and other factors can be used to predict the likelihood of heart disease. This research ... -
Teknik Signcryption untuk Pengamanan Berkas Digital dengan Algoritma Multi-Factor RSA dan Algoritma Esign
(Universitas Sumatera Utara, 2023)The modern digital era has made cryptography a tool capable of solving problems of confidentiality, authentication, integrity and non-repudiation. Encryption can solve the problem of message confidentiality and digital ... -
Analisis Kompleksitas dan Real Running Time pada Algoritma Multi Prime RSA dan XRSA dalam Pengamanan Pesan Digital
(Universitas Sumatera Utara, 2023)As time goes by and advances in information technology make it easier for human activities, especially in terms of exchanging information, which can be done completely digitally. The all-digital exchange of information is ... -
Analisis Sentimen Multi-Label Toxic Comment Menggunakan Metode BERT-BiLSTM
(Universitas Sumatera Utara, 2023)The growth of internet users in Indonesia continues to increase every year, one of which is for expressing opinions in online forums such as Twitter, which has now been renamed as X. Social media has negative impacts, such ... -
Peningkatan Akurasi Algoritma Long Short Term Memory (LSTM) pada Studi Kasus Prediksi Harga Cabai
(Universitas Sumatera Utara, 2023)Unstable chili prices are still a serious problem in society. Many previous studies have provided solutions by predicting chili prices using various algorithms, one of which is Long Short Term Memory (LSTM). However, so ... -
Identifikasi Asal Daerah Berdasarkan Dialek Menggunakan Metode Evolving Multilayer Perceptron
(Universitas Sumatera Utara, 2021)Voice detection is very important for the world of information technology that can be used for voice processing, biometrics, human computer interfaces. Voice identification carried out in this study is based on speech ... -
Analisis dan Peningkatan Performa Kompresi JPEG dengan Transformasi Discrete Cosine Transform dan Gaussian Filtering
(Universitas Sumatera Utara, 2023)In the current era, computers or smartphones have graphical capabilities in conveying data information, but there are several obstacles in the size of the file to store the data resulting in a large file size that takes ... -
Lexicon Based Data Labelling untuk Peningkatan Kinerja Long Short-Term Memory dalam Analisis Sentimen
(Universitas Sumatera Utara, 2023)Accuracy in training sentiment analysis models for large number of review datasets is affected by the correct classification of sentiment labels. Improving the accuracy of sentiment labels, text representation also affects ... -
Kombinasi Local Outlier Factor dan Winsorization dalam Pengelompokan Outlier pada Data Medis Rumah Sakit
(Universitas Sumatera Utara, 2023)In medical data, it is important for doctors to stay update about the condition of their patients, but it would make a problem for the medical data. The medical data would be inconsistend due to changes in information ... -
Fuzzy Mamdani terhadap Peningkatan Akurasi Nilai Akhir Minimum Confidence Algoritma Apriori
(Universitas Sumatera Utara, 2023)Finding rules from data has been an active research field in Artificial Intelligence. Active research was done in frequent itemset mining, which ultimately led to rule generation. Many algorithms propose suggestions to ... -
Optimasi Kinerja Algoritma K-Means pada Penentuan Data Centroid dengan Menggunakan Algoritma Agglomerative Hierarchical Cluster
(Universitas Sumatera Utara, 2023)The initial process of clustering the K-Means algorithm is to determine the initial cluster center point (centroid). The selection of the initial centroid in the K-Means algorithm greatly determines the output of the ... -
Analisis Manajemen Bandwidth Menggunakan Metode Proxy Server Berbasis Virtual Machine
(Universitas Sumatera Utara, 2023)Bandwidth management is the process of measuring or controlling the network traffic communications and the data package on internet network to avoid network congestion and poor performance on the network. Internet ... -
Sign-Then-Encrypt Scheme Dengan Cramer-Shoup Cryptosystem dan Dissanayake Digital Signature
(Universitas Sumatera Utara, 2023)Computer security is becoming increasingly important in today's technological development due to the continuous increase in security breaches. Many people are concerned about protecting data from unauthorized disclosure, ... -
Peningkatan Kinerja Algoritma K-Means Dengan Teknik Pillar untuk Penentuan Centroid
(Universitas Sumatera Utara, 2023)The K-Means algorithm is a popular clustering technique used in many applications, including machine learning, data mining, and image processing. Despite its popularity, the algorithm has several limitations, including ... -
Model Klasifikasi Penyakit Paru Melalui Citra Rontgen Dada Dengan Metode Convolutional Neural Network
(Universitas Sumatera Utara, 2022)Convolutional Neural Network is a type of deep learning that is used for image detection or image classification. The images used can be obtained from data banks such as http://www.kaggle.com, the image usually has a ... -
Analisis Akurasi Random Forest Menggunakan Principal Component Analysis (PCA)
(Universitas Sumatera Utara, 2023)Data that has high dimensions requires machine learning methods that can work faster and more effectively in the classification process. One of the algorithms that can handle complex data is Random Forest. Random Forest ...
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