Identification Plagiarism using Genetic Algorithm and Fuzzy

No love as big as love from:
1. Allah SWT & Muhammad SAW
2. Our parents
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Boring with me?? i hope not..firstly this project worked individual by M Syahrul Mubarok as scription..in the middle time, he call 5 other people in AI laboratory IT Telkom. they're Ervan Fiddin,Said al Faraby,Hendra Winata(me), Deviya Muthoharoh, and Untari Novia Wisesty..as project leader surely M syahrul Mubarok as pioneer of this project..the purpose of this project is to help lecturer in IT Telkom specially Informatic Department to identification what work of college student in studium generale and kapita selekta subject "plagiarism"..insya Allah alpha ver. of this project will release on this month..IMPORTANT->definiton of plagiarism that we used are documnet that has sentence same to other document or have sinonim that same to other document..
ABSTRACTION: data set form txt file will be input data and process with fuzzy with 2 membership function called sinonim function and sentence function..because no certainty rule to determine what membership function to use, range value in each linguistic value of each linguistic variable(sinonim or senetence), and the last the hardest one is to determine what rule to use for handle this Fuzzy Inference System(FIS) then we use evolutionary algorithm(EA) to handle it according to its characterisitic for optimization and Multiple Fuzzy Grid to draw area of each rule that will be used based to EA's output in each individu...(continued)..

Arabic Recognition

No love as big as love from:
1. Allah SWT & Muhammad SAW
2. Our parents
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hua..!alhamdulillah my second project run..insya Allah if no obstacle , alpha version will released on March 2008..
ABSTRACTION: the data set shaped Arabic letter that represented by 100x100 pixel & bmp file will be input data for neural network..but before neural network process it, it will transformed to binary column vector that has size 10000x1. This process called preprocessing..after that the data input as column vector porcessed into neural network and after recognition process by neural network, the image Arabic letter formed bmp file be an output+it spelling..

Forecasting Sale Level using Backpropgation

No love as big as love from:
1. Allah SWT & Muhammad SAW
2. Our parents
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this is my first project guys.. I make this project with 4 other people called M Chafidh M, Ira Puspitasari, Pratiwi Awarini. Commonly, this application isn't hard anymore but this is my first experience to build applicatoin in Artificial Inteeligence. data set contain "Sell Level" month by month from many year ago in one company.
Abstraction: first, data set are divide into 3 data called training data, validation data,& testing data with ratio 2:1:1. Next, the backpropagation architecture made. We use combination from 3 kind of activation function in backpro like sigmoid biner,sigmoid bipolar, & linear. the other side, we use 12 neuron at input layer( represented 12 month as input data), 1-9 possibility neuron at hidden layer , and 1 neuron at output layer( represented 1 month for forecasting). Because natural data set in range in thousand, so if activation function at output layer used sigmoid biner with range [0,1) or sigmoid bipolar with range (-1,1), natural data set must scaled into that range. While with used linear function at output layer, we don't need to scale natural data set..(continued)

First of All

No love as big as love from:
1. Allah SWT & Muhammad SAW
2. Our parents
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assalamualaikum...
first of all, i just wanna say thanks to Allah SWT & Muhammad SAW ,all of my family specially my parents, all of my teacher,lecturer,friend(in 17 senior high school,UKMS IT Telecom,AI Lab of IT Telecom Community,and other that can't be write one by one)...oops, last but not least:: a girl in my senior high school,who gives me much learning in understanding woman feeling...