Penerapan Algoritma Genetika untuk Optimasi Penjadwalan Tebangan Hutan

Ipung Permadi; subanar subanar

doi:10.30595/juita.v1i1.337

Authors

Ipung Permadi
subanar subanar

DOI:

https://doi.org/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.

References

Arhami M., 2004, Penggunaan Algoritma Genetika Untuk Optimasi

Masalah Task Assigment Dalam Sistem terdistribusi, Tesis-S2

Pascasarjana Universitas Gadjah Mada, Yogyakarta.

Buongiorno J. & Gilless J.K, 1987, Forest Management and Economics, Macmillan Publishing Company, New York.

Davis, L., 1991, Handbook of Genetic Algorithms, Van Nostrand

Reinhold, USA.

Direktorat Jenderal Kehutanan, 1976, Vademecum Kehutanan Indonesia, Jakarta.

Gen M. & Cheng R., 1999, Genetic Algorithms Optimization Engineering, John Wiley and Sons, New York.

Goldberg D. E. 1989, Genetic Algorithms in Search Optimization & Machine Learning, Addison-Wesley. New York.

Indrianingsih Y., 2002, Penerapan Algoritma Genetika Untuk

Menyelesaikan Masalah Knapsack 0-1, Tesis-S2 Pascasarjana Universitas Gadjah Mada, Yogyakarta.

Kusumadewi S., 2003, Artificial Intelligence (Teknik & Aplikasinya), Graha Ilmu, Yogyakarta.

Nasution A. & Zakaria, 2001, Metode Numerik Dalam Ilmu Rekayasa Sipil, ITB, Bandung

Paryati, 2006, Aplikasi Algoritma Genetika Untuk Menyelesaikan Masalah Transportasi Kriteria Ganda Dengan Parameter Biaya Fuzzy, Tesis-S2 Pascasarjana Universitas Gadjah Mada, Yogyakarta.

Pressman, R., 2001, Software Engineering, A practitionerr’s approach, Fifth Edition, McGraw-Hill companies, Inc

Suyanto, 2005, Algoritma Genetika dalam Matlab, Penerbit Andi, Yogyakarta.

Tjahjanto P., 1993, Penyusunan Rencana Tebang Habis Menurut Waktudan Tempat Melalui Program Linier di KPH Ngawi, Skripsi, Fakultas Kehutanan Universitas Gadjah Mada, Yogyakarta.