Master Theses
Master Theses
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Linear Discriminant Analysis (LDA) pada Algoritma K-Nearest Neighbour (KNN) untuk Reduksi Atribut
(Universitas Sumatera Utara, 2021)Classification algorithms mostly become problematic in data with high dimensions, in the form of a decrease in classification accuracy. One method that allows classification algorithms to work faster and effectively and ... -
Optimasi K-Nearest Neighbour dengan Penerapan Algoritma Adaboost dalam Peningkatan Akurasi Klasifikasi Penyakit Demam Berdarah (DBD) dan Tifus
(Universitas Sumatera Utara, 2021)During a pandemic like today, exactness and accuracy in giving a verdict on a type of disease is very crucial. There are many types of diseases that have almost similar symptoms such as dengue haemoragic fever (DHF) and ... -
Analisis Kinerja Algoritma Subtractive Clustering dalam Menentukan Jumlah dan Posisi Pusat Cluster
(Universitas Sumatera Utara, 2020)Pada algoritma subtractive clustering, penentuan anggota cluster berdasarkan derajat keanggotaan yang dimiliki setiap data pada setiap pusat cluster. Pada algoritma subtractive clustering tidak ditentukan jumlah cluster ... -
Analisis Kinerja Fuzzy Mamdani dan Sugeno pada Prediksi Curah Hujan
(Universitas Sumatera Utara, 2020)Fuzzy logic is an extension of traditional reasoning, where x is a member of set A or not, or an x can be a member of set A with a certain degree of membership (μ). The ability of fuzzy models to map fuzzy values is the ... -
Analisis Perbandingan Pembobotan Menggunakan Fuzzy Logic dan Rank Order Centroid (ROC) pada Metode Simple Additive Weighting (SAW)
(Universitas Sumatera Utara, 2021)Metode Simple Additive Weighting merupakan salah satu metode dari Sistem Pendukung Keputusan yang sering disebut sebagai metode penjumlahan terbobot. Tetapi nilai bobot pada metode ini tidak secara resmi perhitungan yang ... -
Analisis Kinerja Local Binary Pattern (LBP) dan K-Nearest Neighbor (KNN) dalam Klasifikasi Citra Daun Menjari (Palminervis)
(Universitas Sumatera Utara, 2021)The object recognition system have been studied by many researchers, but most of them only use one method, namely the K-Nearest Neighbor (KNN) method. This method is widely used for recognition systems because it can ... -
Peningkatan Kinerja SVM dengan PSO dalam Klasifikasi Risiko Kredit
(Universitas Sumatera Utara, 2021)SVM classification, in each kernel has parameters that affect the results of classification accuracy. This study examines the improvement of SVM performance by selecting parameters using PSO in credit risk classification, ... -
Model Rule dengan Pendekatan Fuzzy Simple Additive Weighting dan Weighted Product pada Penentuan Jabatan di Institusi Pendidikan Tinggi
(Universitas Sumatera Utara, 2017)The decision-making process is an activity that has a fairly complex indicator and process, in which every decision-making is expected to get the best decision result. To solve this problem the model in decision-making ... -
Analisis Daya Serap Citra pada Pesan Berbahasa Indonesia Menggunakan Pencocokan Warna
(Universitas Sumatera Utara, 2017)The insertion of messages in an image is done by inserting the character of the message character in pixels, either by bits in each character to the image pixel bit as well as the decimal from the character to the decimal ... -
Kombinasi Ciri Orde 1, Ciri Orde 2 dan Discrete Cosine Transform pada Pengenalan Pola Citra Wajah
(Universitas Sumatera Utara, 2017)Face is an identity to recognize a person, everyone can recognize faces well and can distinguish individual faces that had been identified previously in any circumstances, it is very easy to do because human beings are ... -
Analisis Jaraingan Saraf Tiruan Backpropagation Menggunakan Conjugate Gradient Fletcher Reeves dalam Proses Memprediksi
(Universitas Sumatera Utara, 2017)Backpropagation is a good artificial neural network algorithm used to predict, one of which is to predict the rate of Consumer Price Index (CPI) based on the foodstuff sector. While conjugate gradient fletcher reeves is ... -
Analisis Penambahan Nilai Momentum pada Prediksi Produktivitas Kelapa Sawit Menggunakan Backpropagation Neural Network
(Universitas Sumatera Utara, 2016)Backpropagation algorithm is a multi- layer perceptron that is widely used to solve problems that are spacious, but also have limitations backpropagation algorithm is fairly slow convergence rate . In this study, the authors ... -
Analisis Distribusi Bandwidth Off-Time Kantor dengan Menggunakan Mikrotik dan Radius Server
(Universitas Sumatera Utara, 2016)The Internet as one of the fastest growing information technology can provide data and information with extensive, complete and up to date. Users can download and upload data such as application files, multimedia and ... -
Optimasi Kunci dengan Blum Blum Shub pada Algoritma RC4
(Universitas Sumatera Utara, 2016)Technology development is very fast, a lot of data that must be protected. Therefore, to protect the data it needs good technique. A technique to secure a good data is a cryptographic technique. Cryptography is a technique ... -
Analisis Nilai Mutasi Dinamis pada Algoritma Genetika
(Universitas Sumatera Utara, 2016)Knapsack Problem is very important to controlling how many node has crossed at Travelling Salesman Problems (TSP). Usually at TSP, all of the node will be explored to get the optimal rate at a generation. Apllying the ... -
Analisis Kombinasi Message-Digest Algorithm 5 (MD5) dan Affine Block Cipher terhadap Serangan Dictionary Attack Untuk Keamanan Router Weblogin Hotspot
(Universitas Sumatera Utara, 2016)Cryptography is the science of disguising the messages so that only well known by the provider and the recipient. One of the algorithm that is quite a lot of used until this time is algorithm message-digest 5 or MD5. The ... -
Analisis Accurate Learning pada Learning Vector Quantization (LVQ) Menggunakan Algoritma Genetika dalam Pengenalan Pola Alfanumerik
(Universitas Sumatera Utara, 2016)Training LVQ lies in the competitive layer, where the layer will automatically learn to classify (clustering) vector input into the class. Where the generated class the input vector depends on the distance to be calculated, ... -
Analisis Kinerja Metode Rough Set dan Algoritma Apriori dalam Identifikasi Pola Penyakit Demam Tifoid
(Universitas Sumatera Utara, 2016)An element that is very important and everyday needs at this time is an information, to get a right and accurate information is not easy, this research can help the decision maker and to make a comparison. The Researcher ... -
Optimasi Multi-Objective Menggunakan NSGA-II dalam Penjadwalan Mesin Produksi Flow Shop
(Universitas Sumatera Utara, 2015)Scheduling is an activity to allocate limited resources to finish the jobs. Scheduling process arise if there are limitations on available resources that requiring utilization the available resources efficiently. Generally, ... -
Analisis Penggunaan Algoritma Kohonen pada Jaringan Syaraf Tiruan Backpropagation dalam Pengenalan Pola Penyakit Paru
(Universitas Sumatera Utara, 2013)In this study, the research eruses the Kohonen algorithm in neural network backpropagation for pattern recognition of pulmonary disease to increase the process of learning (training) for a significantandaccurate ...
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