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Journal : JUITA : Jurnal Informatika

Aplikasi Fuzzy Berbasis Web untuk Rekomendasi Pemilihan Universitas Swasta (Fuzzy-Based Web Application Lasmedi Afuan; Ipung Permadi
JUITA : Jurnal Informatika JUITA Vol. 1 Nomor 3, Mei 2011
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.474 KB) | DOI: 10.30595/juita.v1i3.436

Abstract

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 university
Penerapan Algoritma Genetika untuk Optimasi Penjadwalan Tebangan Hutan Ipung Permadi; subanar subanar
JUITA : Jurnal Informatika JUITA Vol. 1 Nomor 1, Mei 2010
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.509 KB) | DOI: 10.30595/juita.v1i1.337

Abstract

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.