ANALISA PERBANDINGAN METODE KLASIFIKASI EUCLIDEAN DISTANCE DENGAN FUZZY LOGIC MAMDANI UNTUK MENGIDENTIFIKASI KEMATANGAN BUAH MANGGA BERDASARKAN METODE EKSTRAKSI FITUR CIRI STATISTIK ORDE DUA

Halim Agung, Paula Juniana, Nico Phoan

Abstract


Mango fruit is a fruit that has a high value in Indonesia and has a wide market share ranging from traditional markets to modern markets. At harvest time, the mango fruit is still selected manually based on visual observations from an expert / expert on fruits. The lack of public knowledge about the maturity of this fruit makes the community sometimes difficult to choose a fruit that is cooked. So doing the research to detect mango gedong fruit by looking at skin texture and color. Gedong will be extracted using second order feature extraction method that is energy, contrast, correlation, inverse different moment, and entropy. This application is built by comparing the two methods of classification ie Euclidean Distance, and Mamdani. By comparing the two methods of classification, the user can know the maturity classification of mango gedong more accurate. So, the result of this research is known that the most accurate method in mango fruit maturity classification is Euclidean Distance method with an accuracy of 83.33% with a total of 60x test from 120. While Mamdani method has accuracy level under Euclidean Distance that is 63,33% with total 60x testing from 120.

References


Pujiyanta, Ardi., dan Rizqiawan, Sovian. 2016. Identifikasi Kematangan Mentimun Berdasarkan Tekstur Kulit Buah dengan Fuzzy C-Mean. Jurnal Seminar Nasional Ilmu Komputer (SNIK 2016) - Semarang, 10 Oktober 2016. ISBN: 978-602-1034-40-8.

Aisyah, Euis Siti Nur., Hayat, Abdul., Widanti, Puspa., Prasetya, Shinta Yulinda., dan Iskandar, Helmi. 2015. Analisis Kemiripan Pola Citra Digital Menggunakan Metode Euclidean. STMIK AMIKOM Yogyakarta, 6-8 Februari 2015. ISSN: 2302-3805.

Windana, Fredy., Sarosa, Moechammad., dan Santoso, Purnomo Budi. 2014. Implementasi Kombinasi Feature Extraction untuk Content Based Image Retrieval. Jurnal EECCIS Vol. 8, No. 2, Desember 2014.

Maharsi, Dyah Norma., Halomoan, Junartho., dan Atmaja, Ratri Dwi. 2015. Klasifikasi Serat Miring Pada Kayu Menggunakan Ekstraksi Ciri Statistik Berdasarkan Pada Pengolahan Citra. E-Proceeding of Engineering, Vol. 2, No. 1, April 2015. ISSN: 2355-9365.

Permadi, Yuda., dan Murinto. 2015. Aplikasi Pengolahan Citra Untuk Identifikasi Kematangan Mentimum Berdasaran Tekstur Kulit Buah Menggunakan Metode Ekstraksi Ciri Statistik. Jurnal Informatika Vol.9, No. 1, Jan 2015. Universitas Ahmad Dahlan, Yogyakarta.

Kusuma, Selvia Ferdiana., Pawening, Ratri Enggar., dan Dijaya, Rohman. 2017. Otomatisasi Klasifikasi Kematangan Buah Mengkudu Berdasarkan Warna dan Tekstur. Jurnal Ilmiah Teknologi Sistem Informasi, Januari 2017, Volume 3, Nomor 1. P-ISSN: 2503-0477/ e-ISSN: 2502-3357.

Manik, Fuzy Yustika., dan Saragih, Kana Saputra. 2017. Klasifikasi belimbing Menggunakan Naive Bayes Berdasarkan Fitur Warna RGB. IJCCS, Vol. 11, No. 1, Januari 2017, hal 99-108. ISSN: 1978-1520.

Niswati, Za'imatun. 2013. Pengenalan Pola Tekstur Brodatz Dengan Metode Jarak Euclidean. Faktor Exacta Vol. 5, No. 3: 243-253. ISSN: 1979 276X.

Aditya, Bagus., Hidayatno, Achmad., dan Zahra, Ajub Ajulian. 2014. Sistem pengenalan Buah Menggunakan Metode Discrete Cosine Transform dan Euclidean Distance. TRANSIENT, Vol. 3, No. 2, Juni 2014, ISSN: 2302-9927.

Wulanningrum, Resty., dan Rachmad, Aeri. 2012. Pengenalan Rumput Laut Menggunakan Euclidean Distance Berbasis Eksktraksi Fitur. Seminar Nasional Aplikasi Teknologi Informasi, Yogyakarta, 15-16 Juni 2012, ISSN: 1907-5022.

Yulmaini. 2015. Penggunaan Metode Fuzzy Inteference System (FIS) Mamdani Dalam Pemilihan Peminatan Mahasiswa Untuk Tugas Akhir. Jurnal Informatika, Vol. 15, No. 1, Bulan Juni 2015. P-ISSN 1693-3877/ E-ISS15N 2407-1544.

Saleh, Alfa. 2015. Implementasi Metode Fuzzy Mamdani Dalam Memprediksi Tingkat Kebisingan Lalu Lintas. Seminar Nasional Teknologi Informasi dan Multimedia, 6-8 Februari 2015, ISSN: 2302-3805.




DOI: http://dx.doi.org/10.28932/jutisi.v4i1.711

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Jurnal Teknik Informatika dan Sistem Informasi