MT  Informatics Techniques
Recent Submissions

Analisis Kinerja Metode Gabungan Genetic Algorithm dan KMeans Clustering dalam Penentuan Nilai Centroid
(2017)The determination of Centroid on KMeans Algorithm directly affects the quality of the clustering results. Determination of centroid by using random numbers has many weaknesses. The GenClust algorithm that combines the ... 
Modifikasi SpeedUp Robust Feature (SURF) dengan Histogram of Oriented Gradient (HOG) pada Klasifikasi Citra Blur
(2017)The human eye can directly distinguish objects from images. Such as animals, plants or inanimate objects that have been directly recognized by humans. However, the computer does not have the capability of such a human ... 
Analisis Jaraingan Saraf Tiruan Backpropagation Menggunakan Conjugate Gradient Fletcher Reeves dalam Proses Memprediksi
(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 Daya Serap Citra pada Pesan Berbahasa Indonesia Menggunakan Pencocokan Warna
(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 ... 
Model Rule dengan Pendekatan Fuzzy Simple Additive Weighting dan Weighted Product pada Penentuan Jabatan di Institusi Pendidikan Tinggi
(2017)The decisionmaking process is an activity that has a fairly complex indicator and process, in which every decisionmaking is expected to get the best decision result. To solve this problem the model in decisionmaking ... 
Analisis kinerja metode entropy dalam penentuan bobot awal learning vector quantization pada proses klasifikasi
(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) ... 
Kombinasi Ciri Orde 1, Ciri Orde 2 Dan Discrete Cosine Transform Pada Pengenalan Pola Citra Wajah
(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 Accurate Learning Pada Learning Vector Quantization (LVQ) Menggunakan Algoritma Genetika Dalam Pengenalan Pola Alfanumerik
(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 Kombinasi MessageDigest Algorithm 5 (MD5) dan Affine Block Cipherterhadap Serangan Dictionary Attack Untuk Keamanan Router Weblogin Hotspot
(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 messagedigest 5 or MD5. The ... 
Analisis Penambahan Nilai Momentum Pada Prediksi Produktivitas Kelapa Sawit Menggunakan Backpropagation Neural Network
(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 OffTime Kantor Dengan Menggunakan Mikrotik dan Radius Server
(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 ... 
Analisis Nilai Mutasi Dinamis Pada Algoritma Genetika
(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 ... 
Optimasi Kunci Dengan Blum Blum Shub Pada Algoritma RC4
(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 Kinerja Metode Rough Set dan Algoritma Apriori Dalam Identifikasi Pola Penyakit Demam Tifoid
(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 ... 
Analisis Konsep Virtualisasi pada Controller dalam Jaringan LAN berbasis Openflow
(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 Openflow protocol, which the main idea is to ... 
Analisis Kinerja Greedy Crossover (Gx) Pada Algoritma Genetika Untuk Rostering
(2016)Genetic Algorithm is a heuristic search algorithm is very well used in solving optimization problems. Selection of the operator is used to determine the success of genetic algorithm to find the optimal solution. One ... 
Analisis Sistem Inferensi Fuzzy Tsukamoto Dalam Menilai Tingkat Kesehatan Perusahaan
(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 ... 
Analisis Kinerja Metode Dbscan (DensityBased Spatial Clustering of Applications with Noise) dan KMeans Dalam Sistem Pendukung Keputusan
(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, Kmeans method and DBSCAN ... 
Optimasi Pusat Cluster Awal KMeans dengan Algoritma Genetika Pada Pengelompokan Dokumen
(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. KMeans clustering algorithm is one of iterative cluster algorithm to partition a ... 
Analisa Optimasi Query Database Dalam Pembelajaran Berbasis Web Di SMK Negeri 1 Barumun Dengan Metode M2s Crossover Dan Chunk Crossover
(2016)SMK N 1 Barumun is a public school that implements webbased 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 ...