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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Journal of Degraded and Mining Lands Management AGRIVITA, Journal of Agricultural Science JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA Jurnal Penelitian Pertanian Terapan Jurnal Entomologi Indonesia Jurnal Pengabdian Fakultas Pertanian Universitas Lampung Jurnal Proteksi Agrikultura Integra: Journal of Integrated Mathematics and Computer Science
Hamim Sudarsono .
Jurusan Proteksi Tanaman Fakultas Pertanian Universitas Lampung (Email: Hamim@unila.ac.id
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Other

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Journal : Integra: Journal of Integrated Mathematics and Computer Science

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The Expert System for Diagnosing Pest and Disease in Pineapple Plant Using the Iterative Deepening Search (IDS) Method on the Android Platform Amalia, Ayu; Junaidi, Akmal; Sudarsono, Hamim; Lumbanraja, Favorisen R.
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 1 (2024): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.2024119

Abstract

This research was conducted to design and develop pineapple pests and diseases diagnosis expert system with Iterative Deepening Search (IDS). This expert system runs on android platform. The certainty factor of this expert system is initialized by an expert and the final certainty factor is computed by the system. The data used in this expert system consist of 5 types of pineapple pests, 6 types of pineapple diseases. 31 types of symptoms and 11 types of rules are used to diagnose pineapple pests and diseases. To validate this expert system, two types of tests were conducted, which are expert system verification and system evaluation by users. Expert system verification was conducted by comparing 10 results from the diagnosis system and the results of the diagnosis by an expert. The compare result shows that the expert system result 100% is similar to the result of the expert. To evaluate the system, 30 respondents were asked to evaluate using questionnaires, which were grouped into three groups, i.e. group I (pineapple experts), group II (pineapple farmers and agriculture students) and group III (computer science students). All three stated this expert system runs well (75.56%, 72.44%, and 79.83% respectively).
Co-Authors Agus M. Hariri Agus M. Hariri Akmal Junaidi Ayu Amalia Broms, Kristin Cipta Ginting, Cipta Ciptadi, Yulius Dika Clark, Thomas Dakhlan, Akhmad Dermiyati, D Dian Septinova Ekalianna, Riedha Erwanto Favorisen R. Lumbanraja Hasriadi Mat Akin Herry Susanto I Gede Swibawa I GEDE SWIBAWA, I GEDE Jamalam Lumbanraja Junita Barus Khampuang, Kankunlanach Lestari Wibowo Meinhold, Peter Muhamad Iqbal Nur Yasin Pramesti, Elisa Amelia Purnomo Purnomo Purnomo Purnomo Rosdiana, Siti Rosma Hasibuan Saefudin Saefudin Siti Rosdiana Srigiriraju, Lakshmipathi Sripeangchan, Mongkol Sunaryo Sunaryo Susilo, F X Syahrani, Kristinda Titik Nur Aeny Tran, Khai Tri Maryono