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Melly Br Bangun
Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Bulletin of Computer Science Research

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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 Adelina Irmayani Lubis Agustin, Angelica Ahmad Fariqi Amenobelia Sitepu Ayuning, Vista Cindy Nadya Damayanti, Nina Afria Dian Septiana Dita, Disa Martia Egner Bernard Pribadi Elis Nina Herliyana Elizon Nainggolan Firdaus, Lucky Marcelino Fitria Cahaya Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Ginting, Rehia Angelica Handayani, Silvia Mariah Harahap, Nazwa Malika Hasibuan, Lailan Sahrina Hasibuan, Maria Angel Imelda Sari Ira Sefi Andini Khairani, Dewi Lestania Simatupang Lidya Natasya Lilik Prayitno Lumbangaol, Hermawan Mahfuzi Irwan Marisa Nabila Muchtar, Chairul Omar Muhammad Adib Ahsani Muhammad Takwin Machmud Muliyani Natalia Silalahi Natalia Silalahi, Natalia Ndona, Margaretha Djanius Nehe, Gian Devina Gracia Nina Afria Damayanti Noer Risky Ramadhani Nurhudayah Manjani Oriza Salsabila Padmawati, Fitri Pakpahan, Fanny Grisella Pricilia, Yolanda Purba, Atikah Aulia Purba, Della Priskila Purba, Jon Felix Ramadhani, Noer Risky Reny Furnawati Sitanggang Ridoansih, Thomas Rini Juliani Sipahutar Rista Triwani Rodhiatam Mardiah Damanik Roif Syahli, Naufal Romi Anggun Zefanya Rosdiana Rosdiana Rossikha, Faiza Rossy Nurhasanah Rumahombar, Cindy Natalie Sagala, Angel C Sagala, Annisa Azmi SANI SUSANTI Sani Susanti Santi Nurhasanah Batubara Siagian, Mouces Ferdinan Sianturi, Mian Simangunsong, Yesica Natalia Simanjuntak, Septo Sinaga, Mariana Sipahutar, Rini Juliani Siti Maisaroh Sitorus, Julia Sintya Sondang Dioranta Suci, Delli Syahputra, Dika Dona Syahrial Syahrial SYAHRIAL SYAHRIAL Tessalonika, Jelita Vivaldy, Jeremy Akbar Winda Tarihoran Wulandari, Yunita Dwi Zainuddin Muchtar