SISTEM INFERENSI FUZZY UNTUK  MENENTUKAN SENSASI CITRA WARNA

Sukmawati Nur Endah; Priyo Sidik Sasongko; Helmie Arif Wibawa; Frediansah Frediansah

doi:10.14710/jmasif.1.2.2520

DOI: https://doi.org/10.14710/jmasif.1.2.2520

SISTEM INFERENSI FUZZY UNTUK MENENTUKAN SENSASI CITRA WARNA

Sukmawati Nur Endah , Priyo Sidik Sasongko, Helmie Arif Wibawa, Frediansah Frediansah

Received: 9 Mar 2012; Published: 9 Mar 2012.

Editor(s):

Citation Format:

Abstract

Penelitian ini mengusulkan suatu metode untuk menentukan sensasi sebuah citra dengan menggunakan sistem inferensi fuzzy. Sensasi citra didasarkan pada teori Itten yang terdiri dari sensasi hangat, dingin, santai, gundah dan hidup. Metode yang digunakan menggunakan dua sistem inferensi fuzzy Mamdani. Sistem inferensi fuzzy I digunakan untuk menentukan warna dominan tiap region citra input. Warna yang merupakan output dari sistem inferensi fuzzy I terdiri dari 12 warna berdasarkan Itten runge sphere ditambah 1 warna netral. Hasil output sistem inferensi fuzzy I merupakan input bagi sistem inferensi fuzzy II. Output dari sistem inferensi fuzzy II berupa sensasi citra yang berdasarkan teori Itten. Dari pengujian 30 citra, tingkat kesesuaian yang dihasilkan dengan metode ini sebesar 73,33%. Penelitian ini dapat dikembangkan lebih lanjut untuk membuat suatu perangkat lunak penemuan kembali citra berdasarkan sensasi yang diinginkan.

Fulltext

Article Metrics:

Article Info

Section: Research Article

Language : EN

In Vol 1, No 2 (2010): Jurnal Masyarakat Informatika

Recent articles

SISTEM PENDIAGNOSA PENYAKIT PADA HEWAN SAPI DETEKSI SIDIK JARI DENGAN NEURAL NETWORK BACKPROPAGATION DAN TRANSFORMASI WAVELET DISKRIT SISTEM INFERENSI FUZZY UNTUK MENENTUKAN SENSASI CITRA WARNA More recent articles

Most cited articles

KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE APLIKASI SISTEM INFORMASI GEOGRAFIS BERBASIS WEB PENYEBARAN DANA BANTUAN OPERASIONAL SEKOLAH Studi Komparasi Ekstraksi Fitur pada Pengenalan Wajah Menggunakan Principal Component Analysis (PCA) dan Wavelet Daubechies Enterprise Architecture Model untuk Aplikasi Government ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA More cited articles

Last update:

No citation recorded.

Last update: 2025-06-29 07:28:00

No citation recorded.

The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Masyarakat Informatika).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.