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Journal : Knowbase : International Journal of Knowledge in Database

Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants Parewe, Andi Maulidinnawati Abdul Kadir; Mursalim, Mursalim; Putri, Titis Sari; Hermawati, Hermawati
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5959

Abstract

Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.
Application of Case Based Reasoning Using The K-Nearest Neighbor Algorithm in an Expert System for Diagnosing Pests and Diseases of Sugarcane Plants Parewe, Andi Maulidinnawati Abdul Kadir; Mursalim, Mursalim; Putri, Titis Sari; Hermawati, Hermawati
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 2 (2022): December 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v2i2.5959

Abstract

Sugarcane pests and diseases are still diagnosed manually, which can lead to errors such as data loss or inaccurate data. The goal of this research is to develop an expert system for identifying plant pests and diseases that affect sugarcane yield and quality. This data was obtained through literature study, observation, and interviews. The Case Based Reasoning method is used to find cases by comparing previous cases with recent cases using similarity calculations with the K-Nearest Neighbor algorithm to find the best solution from the identified cases. The results of this study indicate that the expert system for diagnosing sugarcane pests and diseases is easy to use, the appearance is easy to reach, and the diagnostic process does not take a long time. Based on testing the accuracy of the system to diagnose according to the expert's mind, it got an accuracy of 96% from 50 cases tested with the system and got a percentage result of 87.33% from 10 respondents including very feasible criteria.
Co-Authors A.A. Ketut Agung Cahyawan W Akrim, Djusdil Alfaiz Alfaiz Aminah, Nur Andi Zulfikar Syaiful Anggi Fitria Ardhani, Rahmad Asep Mahfudz, Asep Atiqoh, Atiqoh Bhakti Yudho Suprapto Caroline Caroline Danuri Danuri, Danuri Dewi Listyorini, Dewi Dewi, Mustikasari Didin Syamsudin Ellyawati, Noor Eni Kusrini, Eni Fida’ Husain Fikri, Ahmad Lutfi Rijalul Halimah, Fajar Nur Harnaningsi Hera Hikmarika, Hera Herawati Herawati Herfita, Kusnul Efa Hidayat, Amat Ika Lestari Salim Ika Prastiwi, Yohana Ika Silvitasari Ike Bayusari Indah Yun Diniaty Rosidi Indarwati Indarwati Indrastuti, Yani Inovasi, Monica Irmawati, Winda Irta Sulastri Julianto, Joko Dwi Junariah, Siti Desti Khoidir, Muhammad Komarudin, Omang Kuriaya, Kunalan Lestari, Enur Rara Lestari, Mela Dwi Listyani, Nefi Manti Battung, Sabaria Maryatun Muchamad Rifki Muhammad Azis Mulyaningsih Mulyaningsih Munir, Muhammad Misbahul Murisal Murisal Mursalim Mursalim Mustabsiroh, Mustabsiroh Nur Afiah, Nur Nuradila, Nuradila Nurfarida Deliani Oktania, Sella Panggah Widodo Parewe, Andi Maulidinnawati Abdul Kadir Pohan, Immanuel Morries Pranita, Elsy Predika Pratama , Adhi Prety, Fetya Puspita, Annisa Sila Rahmawangi, Winriyani Rahmawati, Erlina Rahmawati, Rahmawati Rajia Rendyansyah Ries Dyah Fitriyah Rimbani, Adil Liya Rini Widarti Rini Widiarti Sari, Azmatul Khairiyah Sastrawan, Sastrawan Shofiyani, Syakilla Asfin Silfia Hanani Siregar, Aulia Fatonah Sri Mulyati Sri Purwanti Sri Sutarni Subagya, Nanang Legawa Suci Dwijayanti Suhari Suhari Sukma, Arda Maharani Sulatri, Irta Supadmi , Diyah Supardi Supardi Supriyadi Supriyadi Syaifullah Syaifullah Syawal, La Ode Muhamad Irwin Syofian, Syofian Tang, M. Thayeb, Rudyanto Titis Sari Putri Tri Rahmawati, Tri Tri Susilowati Trihapsari, Nadia Uswatun Hasanah Wa Ode Indang Widari, Ida Yogta, Abeng Yulita Yulita, Yulita Yusup, Yusup Zaenudin, Jejen