Aplikasi Fuzzy Berbasis Web Untuk Rekomendasi Pemilihan Universitas Swasta (Fuzzy-Based Web Application

Development of computer technology today has been change rapidly. Choosing the university is very important for student. One of student problem choosing university is available many universities which can make confusing the student. Aware how important choosing best university. So, must be planning a application program at education sector in particular fuzzy application for decision support choosing university based web. This fuzzy application build using fuzzy variable such as faculty,majors, accreditation, number of lectures, infrastructures, etc. Application web by using internet media be intended can accessed by all of people and help student take decision for choosing the best universit

Penerapan Algoritma Genetika Untuk Optimasi Penjadwalan Tebangan Hutan

Scheduling Cuts Away Forest is one of problem met at forestry area. All important problem in finalizing this problem is to determine forest check which will be cut away with a purpose to maximizes yield wood volume in each period cuts away and remain to maintains everlasting forest concept. Method which has been developed to finalize this problem is apply linear program with simplex method. At this method every step is taken based on exact formula is assessed unsatisfying good to finalize this problem. Genetics algorithm is one of alternative of solution of scheduling problems cuts away this forest. This idea of this algorithm comes from the Evolution Theory of Charles Darwin, which is only the best route was choosen. An individual was being choosen from a parent population and then recombined to another individual that has been choosen from another parent population to create a new individu. This new individual expected to be better from the rest individu at the population. With this method, the genetic algorithm found to be able to offer a best Scheduling Cuts Away Forest Problem

Prediction of the Amount of Pepper Harvest by Using Fuzzy Associative Memory

Prediction of pepper data is done by looking at several variables to get optimal results. From the production data of the pepper harvest, the information is not yet available to farmers. By using the fuzzy method, the author tries to create a system to estimate the results of predictions by considering the parameters of the number of seeds, fertilizers, pesticides and labor. The combination of these variables can produce an intelligent system that is able to learn and adapt to environments with incomplete and precise data variations and fuzzy logic that has the ability to translate expert knowledge by using linguistically constructed rules. From the results of the experiments conducted, the results obtained were 900 kg of production data