Tuberculosis prevention in Banyumas which still become problem is the owness of case finding of positive Tuberculosis victims. It is caused by lack of supporting aspect from community. For 2007 there are 4229 cases and 367 of them are active patients who take medical treatment. This research aim to for: a). to making a map of thematic which good for knowing pattern spreading of disease of TB in Banyumas, b). knowing factors having an effect on to spreading of disease of TB in Banyumas, and c). knowing subdividing pattern (regional clustering) pursuant to spreading of disease of TB in Banyumas. This research uses method of fuzzy set with approach of Geographical Information System.Results which are obtained from this research are: a) Tuberculosis event is significantly related to poverty. It is caused by low education level and occupation of Tuberculosis victim. b) Tuberculosis spreading is not related directly to population density, age, disease status of Tuberculosis victims and distance from medical facility. Spatial distribution pattern of Tuberculosis does not follow a certain pattern and c) Tuberculosis clustering tend to cluster at poor area in the city and spread follows the river flow.

Fuzzy C-Means Clustering (FCM) is a data clustering technique where each data point belongs to a cluster by membership degree. FCM starts with the concept of cluster centers that mark the mean location of each cluster. By iteratively updating the cluster centers and the membership degree for each data point, then the cluster centers move to the right location. FCM can be applied to group the nutrients of foods based on three functions of nutrients which are food as energy provider, body functions regulator and growth developer. Each nutrients are grouped into three cluster. The information of food group can used as reference or recomendation  for someone who

In this paper, we discuss fuzzy neural network with neuron fuzzy Kwan dan Cai. The algorithm used in this fuzzy neural network is the feed forward algorithm. Futhermore, fuzzy neural network with neuron fuzzy Kwan and Cai can be applied to evaluate a defense performance of football clubs. In this application, we do calculation manually and using a program.

Matriks Laplacian dari suatu graf G adalah matriks diagonal dikurangi dengan matriks ketetanggaan. Paper ini membahas karakteristik nilai eigen dari matriks Laplacian dan hubungan nilai eigen matriks Laplacian dengan nilai eigen matriks ketetanggaan dari graf reguler.

This paper discusses the application of two types of stopping criterion on the strawberry algorithm, which are stopping criteria based on iterative error and Cauchy criterion. Furthermore, the strawberry algorithm program is simulated on the optimization problem with the objective function is quadratic function. The simulation results on optimization problem with the objective function is quadratic function show that strawberry algorithm with stopping criterion based on Cauchy criterion has the best performance, when compared with stopping criterion based on iterative error and without stopping criterion