Department of Information Technology: Recent submissions
Now showing items 661-680 of 1421
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Analisis Tabu List Length pada Penjadwalan Perkuliahan
(Universitas Sumatera Utara, 2013)Scheduling classes is a set of process management in the form of lectures in courses that are organized in a set period and a set of lecture rooms as well as a lecturer. The process of scheduling lectures crafted by ... -
Analisis Metode Analytic Hierarchy Process dengan Pendekatan Logika Fuzzy
(Universitas Sumatera Utara, 2013)Having decision based on some criterion subjectively is making the one being decision maker have to identify the value of criterion. The scale on crisp is uneffectively assumed to uncertainty, the porpuse of this ... -
Hill Cipher pada Skema Shamir’s Three Pass Protocol
(Universitas Sumatera Utara, 2014)In this study the authors use the scheme of Shamir's Three Pass Protocol for Hill Cipher operation. Scheme of Shamir's Three Pass Protocol is an attractive scheme that allows senders and receivers to communicate without ... -
Klasifikasi Jenis Daun Sirih (Piper Betle Linn) Menggunakan Backpropagation Neural Network Berbasis Android
(Universitas Sumatera Utara, 2021)Betel leaf is one of the herbal plants that has an important role in medicine because it has a very high antioxidant and water content and less of callory. Not only for the treatment of betel leaf, it is also often encountered ... -
Analisis Konvergensi pada Entangled Neural Network
(Universitas Sumatera Utara, 2015)Entangled neural networks is one form of the quantum neural network which uses entanglement as a key feature to interpreting the data. Each qubit within probability of entanglement have different values on the particular ... -
Model Penilaian Kinerja Bagi Lembaga Kursus dan Pelatihan Dengan Logika Fuzzy
(Universitas Sumatera Utara, 2014)Modeling for performance evaluation and training institute courses to the attention of the modeling method. Performance assessment for courses and training institutes from the aspects of marketing, human resources aspects, ... -
Model Layanan Komputasi Awan Untuk Kolaborasi Online Dengan Aplikasi Wmcloud Project
(Universitas Sumatera Utara, 2014)Cloud computing is a technology model that allows for ubiquitous (anywhere and anytime), on-demand network access to a resource that can be quickly added. With characteristics present in the cloud computing technology to ... -
Analisis Kinerja Metode Dbscan (Density-Based Spatial Clustering of Applications with Noise) dan K-Means dalam Sistem Pendukung Keputusan
(Universitas Sumatera Utara, 2017)Clustering is one of the unsupervised mining data methods; it is also a method used to seek and to group data which have characteristic resemblance from one datum to another one. In this research, K-means method and DBSCAN ... -
Optimasi Pusat Cluster Awal K-Means dengan Algoritma Genetika pada Pengelompokan Dokumen
(Universitas Sumatera Utara, 2017)Clustering a data set of documents based on certain data points in documents are an easy way to organize document for extension to work. K-Means clustering algorithm is one of iterative cluster algorithm to partition a ... -
Analisis Mapping pada Partially Mapped Crossover dalam Algoritma Genetika pada Travelling Salesman Problem
(Universitas Sumatera Utara, 2014)Traveling salesman problem is the problem how salesman can set tour to visit a number of cities which known distance of the city with other cities so that the distance is the minimum distance where the salesman can only ... -
Analisis Sistem Inferensi Fuzzy Tsukamoto dalam Menilai Tingkat Kesehatan Perusahaan
(Universitas Sumatera Utara, 2015)This study examined the fuzzy inference system in assessing the soundness of the company with Tsukamoto method. This method is extremely flexible and provides results ouput inference system of any rules that are given ... -
Analisa Optimasi Query Database dalam Pembelajaran Berbasis Web di SMK Negeri 1 Barumun dengan Metode M2s Crossover dan Chunk Crossover
(Universitas Sumatera Utara, 2016)SMK N 1 Barumun is a public school that implements web-based learning system. With the increasing ability of students and teachers in the use of this service, it also increases the quantity of traffic and the use of the ... -
Pengenalan Gerak Isyarat Menggunakan Layar Sentuh Virtual dan Neural Network Backpropagation
(Universitas Sumatera Utara, 2014)Gesture recognition is very important to use several types of applications such as human machine interface, control robot interaction, robot for personal use, special monitoring and robotic systems as a special tool. ... -
Analisis Fungsi Keanggotaan Fuzzy Inference System Sugeno Dalam Pengklasifikasian Anemia
(Universitas Sumatera Utara, 2014)Determination of anemia based on morphological classification will facilitate in diagnosing a patient's illness further because each of these classifications also have many possible types of illness. The fuzzy logic ... -
Kombinasi Algoritma Elgamal dan Algoritma Kompresi Shannon-Fano
(Universitas Sumatera Utara, 2014)Asymmetric key cryptography system popular than Rivest Shamir Adleman (RSA) is a cryptographic system ElGamal. The system cryptographic has there face, they are key performed encryption and decryption in which to perform ... -
Metode Proses XordDalam Pembentukan Kunci Simetris pada Algoritma Mars
(Universitas Sumatera Utara, 2011)This study discusses the block cipher encryption algorithm that a candidate MARS Advanced Encryption Standard (AES). MARS is a symmetric key algorithm with 128-bit block cipher and a key length variations between the ... -
Pemodelan Aturan dalam Memprediksi Prestasi Akademik Mahasiswa Politeknik Negeri Medan dengan Kernel K-Means Clustering
(Universitas Sumatera Utara, 2011)This thesis addresses a model of rule to predict students’ academic achievement in the Department of Electrical Engineering Polytechnic of Medan. Up till now predicting students' academic achievement is still a warm ... -
Analisis Kinerja Metode Entropy dalam Penentuan Bobot Awal Learning Vector Quantization pada Proses Klasifikasi
(Universitas Sumatera Utara, 2017)The learning process for each method of Artificial Neural Network (ANN) is very important because it aims to make the network can recognize their environment. Similarly, Neural Network Learning Vector Quantization (LVQ) ... -
Penentuan Rule Menggunakan Rough Set pada Metode Tsukamoto
(Universitas Sumatera Utara, 2015)Rule the fuzzy problems are generally based on the membership function generator area membership is determined using grouping by category by naked eye. Rough rule sets can be formed using the way through boundaries. ... -
Model Fuzzy Expert System Berbasis Pemakai Pada P.T. Batik Semar Cabang Medan
(Universitas Sumatera Utara, 2014)Fuzzy expert system models used to using a model of the use of batik user using the Tsukamoto method to identify user based on P.T. Batik Semar Branch of Medan based inventory variables according to age, skin color, batik ...