Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number SEM- 372
Collection Type Indeks Artikel prosiding/Sem
Title Geometric time variant particle swarm optimization with fuzzy - AHP for pomology recommendation (hal 121-130)
Author Maulana Putra Pambudi, Imam Cholissodin, Candra Dewi;
Publisher Icacsis 2017 international conference on advanced computer science and information systems october 28-29 th, 2017 Jakarta, Indonesia
Subject promology, farmer, land suitability, fuzzy-AHP, geometric time variant particle swarm optimization (GTVPSO), wight of criteria, spearman coefficient
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM- 372 TERSEDIA
Tidak ada review pada koleksi ini: 47061
in indonesia, one of the most popular commodities is pomology (fruit). But, in indonesia, fruit production rate is not biggen than fruit consumtion rate. Lack of fruit production in indonesia can be caused by a various factor. One of the factors is production failure that caused by wrong fruit choice. That factor can happen because of the lack of farmer knowledge about compatibility btween land and fruit. Therefore it takes it program that can use to help farmer check it their land is compatible with one kind fruit or not. FAHP-GTVPSO is one of the methods that can solve a problem with many determining factor inside it. This method is a combination of 2 previous methods. That 2 previous method is fuzzy- AHP and eometric time variant particle swarm optimization (PSO). Particke Swarm Optimization method will be working to optimize criteria weight ratio that should be generated from AHP. from the test result, spearman coefficient comparing rank result in 3 lands and 10 fruit is 0.8598. Besides that from the classification result, we can obtain spearman coefficient is 0.9659.