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Elis Nina Herliyana
Departemen Silvikultur, Institut Pertanian Bogor, Jl. Lingkar Akademik Kampus IPB Darmaga, Bogor 16680
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Journal : Bulletin of Computer Science Research

 1 
Penerapan Probabilistic Neural Network pada Klasifikasi Patogen Daun Bibit Jabon Berdasarkan Ciri Morfologi Spora Melly Br Bangun; Yeni Herdiyeni; Elis Nina Herliyana; Rossy Nurhasanah
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.325

Abstract

The aim of this research is to clasify pathogen of Jabon’s leaf seedling based on spora morphological features using Probabilistic Neural Network classifier. Three types of pathogen to be classified are Colletotrichum sp., Curvularia sp., and Fusarium sp.. The methodologies used are data acquisition using optilab camera microscope to obtain microscopic image data , preprocessing (grayscale, median smoothing, thresholding Otsu, region filling, median smoothing and dilate), morphology feature extraction (area, perimeter, area convex, convex perimeter, compactness, solidity, convexity and roundness), Probabilistic Neural Network classification, and evaluation. The basic morphological characteristics consisting of area, perimeter, convex area, convex perimeter, and derived morphological characteristics consisting of compactness, solidity, convexity and roundness. The experimental results of the morphological feature extraction showed that the compactness and roundness characteristics can be used to identify the three types of pathogens because with these characteristics each class of pathogen is separate. Testing for this research was carried out using 150 test data from three classes of objects from the dataset, namely class 1 (Colletotrichum sp.), class 2 (Curvularia sp.), and class 3 (Fusarium sp.). Then the results of pathogen classification using the application of the PNN algorithm in testing this research obtained an average accuracy value of 86.8% with a proportion of training data and test data of 80:20. The results of the PNN classification on 150 test data were that there were 36 data classified into Colletotrichum sp., 44 data classified into Curvularia sp., and 50 data classified into Fusarium sp. Further research could be done with the identification of digital microscopic images without cropping and systems that could clasify a colony image of pathogens clearly.
Co-Authors Abdul Muhyi ABDUL MUNIF Abdul Munif Abdurachman Syafiih Achmad Achmad . Achmad . Achmad . Achmad ; Achmad Achmad ACHMAD ACHMAD Achmad Lisdar Adisti Permatasari Putri Hartoyo Agus Setiawan Ai Rosah Aisah Akhir, Jumadil ANANG PRANOTO HIDAYAT Ananta Kusuma Amanda Andi Sukendro Andrea Ajeng Eirenne Kristianti Anisa Tri Harjanti Ardiansyah Putra Ariana Ariana Arief B. Witarto Arief Noor Rachmadiyanto Arif Ravi Wibowo Arzyana Sunkar Benyamin Dendang Darmono Taniwiryono Darmono Taniwiryono Darmono Taniwiryono Darmono Taniwiryono Deasy Putri Permatasari Dewi Sukma Dodi Nandika Dwierra Evvyernie Dyah LINGGA NP Erianto Indra Putra Eti Artiningsih Octaviani Fatin Hanifah Felliks Tampinongkol, Felliks Fifit Kulsum Fitri Kurniawati Fuzy Yustika Manik Gustan Pari Hanifah Nuryani Lioe Hayati Minarsih Hayati Minarsih Hidayatullah, Deden I. Sudirman Iga Dwi Syahrani Illa Anggraeni Irfan Jelata, Tedi Irfan Kemal Putra Irma Badarina Iskandar Z Siregar Isroi Isroi Ivan Permana Putra Kultsum, Fifit Kunio Tsunoda Labana Hutagalung Laila Fithri Maryam Libranika Dwi Miswati Liza Sakbani Lufthi Rusniarsyah, Lufthi Lul Godi, Rizal Lutfi Hanafi Melly Br Bangun Mira Febrianti Muhammad Alam Firmansyah Nabawiah, Safira Nifa Hanifa Noor Rachmadiyanto, Arief Nurulhaq, Muhammad Iqbal OSICA ASNO FERINA YURTI Ratna Jamilah Reny Meisetyani Reza Pamunca, Airres Rezeka Amalia Rizki Nugraheni Amaliasuci Rossy Nurhasanah Safira Nabawiah Santiyo Wibowo Sarah Diana Yulianti Shodiq Syifaudin, Ikhwan Silviana Arsyad Soetrisno Hadi Sri Listiyowati Sri Wahyuni, Devi Sri Wilarso Budi Surono Suryo Wiyono Syafitri Hidayati Tiara Antika Tjahja Muhandri Toto Toharmat TW DARMONO DARMONO Wartaka Wartaka ; Wasrin Syafii Yurico Bakhri Yusuf Sudo Hadi