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Journal : Building of Informatics, Technology and Science

Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Nurnaningsih, Desi; Alamsyah, Dedy; Herdiansah, Arief; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.459 KB) | DOI: 10.47065/bits.v3i3.1019

Abstract

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well
Co-Authors Adi Gunawan, Adi Agung Wibowo Ahmad Fauzan Ahmad, Shieva Nur Azizah Alamsyah, Dedy Alfan Kurniawan Alfry Aristo Jansen Sinlae Ali Firdaus Ali Firdaus Alifah Alifah Alifah Alifah Angga Aditya Permana Arif Sulaeman, Arif Arisantoso Arisantoso Baehaqi Budiyanto, Asri Bukhori, Syaiful Cholid, Habib Nur Daniarti, Yeni Destriana, Rachmat Dwi Atmodjo WP Dyas Yudi Priyanggodo Elsya Yunita Erni Rahmawati Faiz Muqorrir Kaaffah Faridi Faridi Faridi Fauyhi Eko Nugroho Febriana Wulandani Febriyanti, Indah Fitriawati, Nora Frithadila, Najmah Hariyani, Nofitri Hengki Rusdianto Herryansyah, Herryansyah Husain, Syepry Maulana Ibrahim, Maulana Jefry Arizky Joko Dewanto Jonni, Muhammad Liesnaningsih, Liesnaningsih Mabrur, Nur Shobi Mahpud, Mahpud Marlia Purnamasari, Marlia Mayatopani, Hendra Muhammad Ikhsan Hafianto Muhammad Irfan Muhammad Nabil Yafi Najmuddin Najmuddin Najmuddin, Najmuddin Nanda, Indra Nofitri Heriyani Nora Fitriawati Nora Fitriawati Nugroho, Tomi Nur Suci Ramadhanty Nurdiana Handayani Nurhayati nurnaningsih, Desi Pamungkas, Ilham Surya Putra Pratama, Radya Adhi Prianggodo, Dyas Yudi Prima Astuti Handayani Priyangan, Donny Muda Priyanggodo, Dyas Yudi Pujangkoro, Titah Puji Santoso Ri Sabti Septarini Ridwan Ramadhan Ristasari Dwi Septiana Rohmat Indra Borman Rohmat Taufiq Rosdiana Rosdiana Roso, Agung Cipto Rosyid Ridlo Al-Hakim Rusdianto, Hengki Saifullah, Ahmad Septarini, Ri Sabti Siti Fatimah Zamrotul Jannah Siti Fauziyah Soares, Teotino Gomes Sofyan Sofyan Soleh, Adnan Izzulhaq Sonia Maylinda Sopandi, Ajang Sri Mulyati Sudaryono Sudaryono Sudaryono Sudaryono Sya’bana, Nurcholis Ali Syepry Maulana Husain Tuti Handayani Wijaya, Hamid Wijayanti, Rima Rizqi Yani Sugiyani Yani Sugiyani Yani Sugiyani, Yani Yanuardi Yanuardi Yogi, Mohammad Zulham, Zulham