Master Theses
Master Theses
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Analisis Komputasi Eigen Vector pada Metode AHP (Analytic Hierarcy Process)
(Universitas Sumatera Utara, 2012)Analytic Hierarchy Process (AHP) is a method of decision making approach that is designed to help search for the solution of multicriteria complex problems in a number of application domains. Decision making by using ... -
Optimisasi Kinerja K-Means Menggunakan Rank Order Centroid (ROC) dan Braycurtis Distance
(Universitas Sumatera Utara, 2022)K-Means is a clustering algorithm that groups data based on similarities between data. Some of the problems that arise from this algorithm are when determining the center point of the cluster randomly. This will certainly ... -
Analisis Hubungan Algoritma Fuzzy Model Mamdani dengan Model Sugeno Menggunakan Relasi Ekivalen
(Universitas Sumatera Utara, 2013)Mamdani-Model and Sugeno-Model Fuzzy Aigorithm are similarities in fuzzificatior, rule evaluation, aggregation of the rule outputs phases, but different in defuzification. But the result is ałways different shows there ... -
Analisis Metode Electre dan Topsis Menggunakan Fuzzy Kurva-S Sebagai Penentu Bobot Alternatif
(Universitas Sumatera Utara, 2017)The development of information technology in the globalization era contributes to the fast presence of information that meets everyone's needs. The supports of technology offers easiness in every field. The selection of ... -
Analisis Pengaruh Inisialisasi Bobot Nguyen Widrow dan Learning Rate pada Algoritma Learning Vector Quantization
(Universitas Sumatera Utara, 2015)The artificial neural netwrork is a field of science that is growing at the present time. Many research using artificial neural networks as a research object. Artificial neural networks are often used in daily life to ... -
Analisis Model Adaptive Neuro Fuzzy Inference System (ANFIS) dalam Sistem Prediksi
(Universitas Sumatera Utara, 2015)Adaptive neuro fuzzy inference system (ANFIS) is method that used neural network for implementation of fuzzy inference system The advantages of ANFIS contained on its ability to present a well-structured knowledge ... -
Optimasi Suitability Fungsi Keanggotaan Fuzzy Menggunakan Algoritma Modified Particle Swarm Optimization
(Universitas Sumatera Utara, 2014)The optimization of fuzzy membership function is a solution that is widely applied to determine the proper design of membership functions and optimal. In this research the optimization based Modified Particle Swarm ... -
Analisis Konsep Virtualisasi pada Controller dalam Jaringan LAN berbasis Openflow
(Universitas Sumatera Utara, 2016)Software defined networking (SDN) is a concept in networking technology to simplify the management and control of the network. One of the implementation of the SDN concept is Open flow protocol, which the main idea is ... -
Algoritma Hybrid ACO-GA untuk Meminimumkan Makespan Penjadwalan Flowshop
(Universitas Sumatera Utara, 2018)Flow shop scheduling is a ,scheduling mode! in which the job-job to be processed entirely flows in the same product direction/path. In other words, job-jobs have routing work together. Scheduling problems often arise if ... -
Algoritma Pohlig-Hellman pada Skema Three Pass Protocol
(Universitas Sumatera Utara, 2016)Three Pass Protocol is a method or technique that can be used by 2 (two) the sender and receiver of the message to communicate with each other using XOR function, problems that occur is when the communication process ... -
Pengembangan Model Bayesian Network
(Universitas Sumatera Utara, 2014)Bayesian Network (Bayesian Network) is a directed acyclic graph that used to express the dependence of the probability of causation between variables that focus on knowledge representation and inference uncertainty, it ... -
Analisis Kinerja Algoritma Clustering Fuzzy C-Means dengan Fuzzy Tsukamoto
(Universitas Sumatera Utara, 2017)Based on the analysis algorithm performance clustering models Tsukamoto Fuzzy and Fuzzy C-Means displays seyeral variables that vary in number. For grouping was done to determine the value of the performance of the algorithm ... -
Analisis Kinerja Min-Max Fitness Mutation pada Algoritma Genetika
(Universitas Sumatera Utara, 2017)Implementation of method mutations in genetic algorithms that are not coordinated properly can make declining cause on an individual fitness value. To overcome these problems do settings for use mutation methods that are ... -
Analisis Modal Aturan Keputusan Kredit Usaha Rakyat (KUR) Menggunakan Metode Fuzzy Decision Tree
(Universitas Sumatera Utara, 2016)Coordinating Ministry for Economic Affairs of the Republic of Indonesia launched a business credit (KUR) to the Indonesian people as working capital and investment financing to the debtor business productive and decent, ... -
Analisis Model Inferensi Fuzzy Tsukamoto dalam Prediksi Kondisi Jalan
(Universitas Sumatera Utara, 2016)Fuzzy logic begins with the concept of fuzzy set. A fuzzy set describing the relationship between the quantity given x and the membership function (p), which ranges between 0 and l, fuzzy provides a simple way to arrive ... -
Efisiensi Seleksi Frequent Itemsets Metode Tabel Hash Pruning pada Algoritma Apriori
(Universitas Sumatera Utara, 2016)Apriori algorithm is one of the algorithms used to find frequent item sets and association rules are trying to find knowledge. Apriori will repeat the process by finding frequent itemset repeatedly in the database and ... -
Analisis Waktu Eksekusi Algoritma Perkalian Karatsuba dan Nikhilam
(Universitas Sumatera Utara, 2016)Multiplication is a common thing which is done by everybody in daily routine. Even though, multiplication in Computer Science is not as simple as what is done by most people. This is because multiplication in Computer ... -
Optimasi Kontrol Motor Induksi Menggunakan Metode Fuzzy dan Algoritma Genetika
(Universitas Sumatera Utara, 2017)Conveyor performance in a production process of an industry is really affected in optimizing the production. The use of conveyor is cannot be separated with the conveyor driving motor, so the ultimate condition of the ... -
Analisis Patially Mapped Crossover Algoritma Genetika dalam Mengoptimalkan Pembelajaran Backpropagation Neural Network
(Universitas Sumatera Utara, 2016)Backpropagation Neural Network a computational method that is reliable and capable of accurately recognizing patterns but old in the process of training. Behind the success of backpropagation neural network as one of the ... -
Analisis Perbandingan Klasifikasi dengan Metode Decision Tree dan Naive Bayes
(Universitas Sumatera Utara, 2014)Data mining is a process to discover useful information from a collection of large databases. One of the techniques that exist in data mining is classification. By applying classification techniques on student satisfaction ...
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