Article Per Year (5 Year)
p-Index From 2021 - 2026
8.149
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Informatika Komputer MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Elkom: Jurnal Elektronika dan Komputer INFORMAL: Informatics Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOMPUTIKA - Jurnal Sistem Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Cyber Security dan Forensik Digital (CSFD) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Abdidas Indonesian Journal of Data and Science Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Jurnal Minfo Polgan (JMP) Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Celebes Journal of Community Services CSRID Jurnal Pengabdian Kepada Masyarakat Variable Research Journal Journal of Information Technology and its Utilization Linier: Literatur Informatika dan Komputer Journal of Computer Science & Intelligent Systems
Erick Irawadi Alwi, Erick Irawadi
Universitas Muslim Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 64 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : csrid

 1 
Klasifikasi Penyakit Tanaman Bawang Merah Menggunakan Convolutional Neural Network dan K-Nearest Neighbor Fifi Febrianti Usman; Purnawansyah; Herdianti Darwis; Erick Irawadi Alwi
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The potential for yield loss due to shallot plant disease is the main trigger that can reduce agricultural productivity. Pest and disease attacks can be minimized and overcome quickly if farmers are able to classify the types of diseases that attack plants based on the characteristics and symptoms that appear. This study aims to classify shallot plant diseases, namely purple spotting and moles with a total of 320 datasets using Hue Saturation Value color feature extraction using the K-Nearest Neighbor (Euclidean Distance) and Convolutional Neural Network methods. Based on the results of the study, the accuracy, f1-score was 94% and precision, recal was 97%, 91% in purple spot disease while in moler disease it was 94% in accuracy, precision, recall, and f1-score in HSV and KNN classifications. Classification using HSV and CNN yielded high scores in accuracy, precision, recall, and f1-score with a value of 100% in both purple spot and moler shallot leaf diseases. Classification using deep learning CNN obtains very good accuracy, precision, recall and f1-score, namely 100%. With this description, the classification of shallot plant diseases using HSV and CNN, and CNN deep learning are stated to be able to classify shallot plant diseases, namely purple spotting and moles effectively and accurately.
Klasifikasi Penyakit Tanaman Bawang Merah Menggunakan Convolutional Neural Network dan K-Nearest Neighbor Usman, Fifi Febrianti; Purnawansyah; Herdianti Darwis; Erick Irawadi Alwi
CSRID (Computer Science Research and Its Development Journal) Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.15.3.2023.177-188

Abstract

The potential for yield loss due to shallot plant disease is the main trigger that can reduce agricultural productivity. Pest and disease attacks can be minimized and overcome quickly if farmers are able to classify the types of diseases that attack plants based on the characteristics and symptoms that appear. This study aims to classify shallot plant diseases, namely purple spotting and moles with a total of 320 datasets using Hue Saturation Value color feature extraction using the K-Nearest Neighbor (Euclidean Distance) and Convolutional Neural Network methods. Based on the results of the study, the accuracy, f1-score was 94% and precision, recal was 97%, 91% in purple spot disease while in moler disease it was 94% in accuracy, precision, recall, and f1-score in HSV and KNN classifications. Classification using HSV and CNN yielded high scores in accuracy, precision, recall, and f1-score with a value of 100% in both purple spot and moler shallot leaf diseases. Classification using deep learning CNN obtains very good accuracy, precision, recall and f1-score, namely 100%. With this description, the classification of shallot plant diseases using HSV and CNN, and CNN deep learning are stated to be able to classify shallot plant diseases, namely purple spotting and moles effectively and accurately.
Co-Authors Abd Hamid Ade Gustiyonoo Adhitya Nugraha Ahmad Qayyum Ibnu Hidayat Aidil Wijaya Kusuma Ainur Rahma Almagfirah Andi Rahmat Aulia Andy Aprianto Asman Haris Asran Asran As’ad, Ihwana Atmajaya, Dedy Dedy Atmajaya Diah Ayu Retnani Diah Ayu Retnani, Diah Ayu Dolly Indra Dolly Indra Farniwati Fattah Fathur Rahman Fatwa Hadi Ilham Pamungkas Faudiah Anwar Fifi Febrianti Usman Fitriyani Umar Gaffar, Andi Widya Mufila Gery Ardiansyah Saputra Hargiani, Fransisca Xaveria Hasanuddin, Tasrif Herdianti Herdianti Herman Herman Hidzrullah Ash Syuhrawardi Huzain Azis Ihramsari Akidah Ihwana As’ad Irawati Irawati Isnan Sinusi Izzahara Zalzabila Jasmaniar Jezika Anastazya Julisa Karina Fitriwulandari Ilham Lokapitasari Belluano, Poetri Lestari Lutfi Budi Ilmawan, Lutfi Budi M. Akil Maulana Nuruddin Djamin Miftahul Rifqi Mubarak Abdullah, Syahrul Muchlis Faulah Muh. Ainun Amri Mursalim Muh. Arsyil Karimi Muh. Rafianto Muh. Ridwan Rahim Muhammad Adam - Muhammad Al Mubarak Muhammad Arfah Asis Muhammad Ihsan Muhammad Syahrizal Darwis Murfat, Moh Zulkifli Mustika, Mustika Octavia Mutia Nurul Ilmi Nasrullah Syahir Nurmainna Nurmainna Nurul Ilmy Husain Purnawansyah Purnawansyah Rakha Raharja Ramdan Satra Ramdaniah Ramdaniah Riska Wulandari RM, Rusman Salsa, Salsabila Aurelia SHANTIKA Sheila Nur Afni Zafitri Siska Anraeni Siswahyudianto St. Hajrah Mansyur St. Nadya Kurnia Prihandani Syafie, Lukman Syahrul Mubarak Abdullah Syahrul Mubarak Abdullah Tasmil Tasmil Tasrif Hasanuddin Tasrif Hasanuddin Ulfa Sari Usman, Fifi Febrianti Wahyu Iriansyah Sopamena Wistiani Astuti Yudharta Arif Yulita Salim Zahra, Andi Fathimatuz Zahra