DATA MINING ANALYSIS WITH ASSOCATION RULES METHOD TO DETERMINE THE RESULT OF FISH CATCH USING FP-GROWTH ALGORITHM

WIJAYA, DITO SUKMA (2018) DATA MINING ANALYSIS WITH ASSOCATION RULES METHOD TO DETERMINE THE RESULT OF FISH CATCH USING FP-GROWTH ALGORITHM. S1 thesis, Universitas Mercu Buana Jakarta.

Text (JURNAL MAHASISWA) Jurnal Dito Sukma Wijaya.pdf Restricted to Registered users only Download (1MB)

Abstract

This study aims to analyze the data to determine the correlation between fish catch, whether certain fish affect the other fish. Lots of natural resources in Indonesia, especially in the marine sector that can be used one of them are fisheries. Each region has the potential of marine fish species with different numbers and species, this can lead to problems that lack of information on the correlation between fish catch, whether certain fish potentially affect the catch. To overcome this problem, it is necessary to analyze the pattern of fish catch data using data mining technique. The method used is association rules with FP Growth algorithm. The method of association rules is used to analyze the data so as to produce data in the form of correlation pattern between fish catch. Thus, based on the analysis of fish data the higher the minimum support and minimum confidence used, the less frequent itemset and rules that is formed and decreases the accuracy. All rules generated in this study have a value of lift ratio of more than 1.00 so that it can be used as a reference in knowing the correlation between fish catch to optimize the fisheries results for the fishermen. General Terms Data Mining, FP Growth Algorithm, Association rules, Rapid Miner. Keywords Data Mining, FP Growth Algorithm, Association rules, Fish Catch, Rapid Miner

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41514010046
Uncontrolled Keywords:	Data Mining, FP Growth Algorithm, Association rules, Fish Catch, Rapid Miner
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.7 Data in Computer Systems/Data dalam Sistem-sistem Komputer > 005.75 Specific Types of Data Files and Databases/Jenis Spesifik File Data dan Pangakalan Data > 005.754 Network Databases/Pangakalan Data Jaringan 600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.01-658.09 [Management of Enterprises of Specific Sizes, Scopes, Forms; Data Processing]/[Pengelolaan Usaha dengan Ukuran, Lingkup, Bentuk Tertentu; Pengolahan Data] 600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.01-658.09 [Management of Enterprises of Specific Sizes, Scopes, Forms; Data Processing]/[Pengelolaan Usaha dengan Ukuran, Lingkup, Bentuk Tertentu; Pengolahan Data] > 658.05 Data Processing Computer Applications/Pengolahan Data Aplikasi Komputer
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	Dede Muksin Lubis
Date Deposited:	29 Sep 2018 01:32
Last Modified:	29 Sep 2018 01:32
URI:	http://repository.mercubuana.ac.id/id/eprint/44765

Actions (login required)

View Item