METODE DATA MINING UNTUK MENENTUKAN JADWAL BERLAYAR NELAYAN BERBASIS WEBSITE

Susli, Alung (2020) METODE DATA MINING UNTUK MENENTUKAN JADWAL BERLAYAR NELAYAN BERBASIS WEBSITE. Other thesis, Universitas Amikom Purwokerto.

[img] Text
COVER.pdf

Download (607kB)
[img] Text
DAFTAR ISI.pdf

Download (669kB)
[img] Text
ABSTRACT.pdf

Download (535kB)
[img] Image
BAB I.pdf
Restricted to Registered users only

Download (377kB)
[img] Image
BAB II.pdf
Restricted to Registered users only

Download (672kB)
[img] Image
BAB III.pdf
Restricted to Registered users only

Download (767kB)
[img] Image
BAB IV.pdf
Restricted to Registered users only

Download (943kB)
[img] Image
BAB V.pdf
Restricted to Registered users only

Download (360kB)
[img] Image
DAFTAR PUSTAKA.pdf
Restricted to Registered users only

Download (371kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository staff only

Download (1MB)

Abstract

Some of Cilacap people live in coastal areas as fishermen who utilize the seafood to meet the needs of life. Of course for the smooth activity of marine conditions is very influential. One of the fishermen supporters in the cruise is the information of BMKG Cilacap. To help solve the problem, research is conducted to determine the sailing schedule of fishermen using data mining method with the website based Support Vector Machine classification algorithm. This research uses data from BMKG Cilacap from 2015 until 2017. Test data is part of data that is randomly fetched from the overall data used. From model testing, get value with performance results from datasets that generate accuracy of 88%, 87% precision and 89% recall. So to solve this problem, the researcher created a website-based fishermen sailing scheduling system.

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Dr. Eng. Imam Tahyudin, M.M.
Uncontrolled Keywords: Data Mining, Ocean waves, Support Vector Machine, Website
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
N Fine Arts > NX Arts in general
T Technology > T Technology (General)
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 19 Nov 2020 02:26
Last Modified: 19 Nov 2020 02:26
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/409

Actions (login required)

View Item View Item