Sistem Pakar Diagnosis Potensi Penyebaran Penyakit pada Tanaman Cabai Menggunakan Fuzzy Mamdani

Expert System for Diagnosis of Potential Disease Spreading on Chili Plants Using Mamdani Fuzzy Inference

Deni Setiyo Wibowo -  Department of Informatics, STMIK Kharisma Karawang, Indonesia
Yessy Yanitasari* -  Department of Informatics, STMIK Kharisma Karawang, Indonesia
Dedih Dedih -  Department of Information System, STMIK Kharisma Karawang, Indonesia
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer

This research developed expert system using fuzzy Mamdani to diagnose the spread of diseases affecting the growth of chili plants based on environmental factors. Environmental variables used as fuzzy input parameters are soil pH, air temperature, air humidity and solar irradiation. The input-output relationship uses 81 rules with the AND operator and the MIN implication function. For a case, the results showed that the percentage of the potential spread of the disease showed 60.25%, so the category of potential disease spread with soil PH 7.5 pH, 28 ° C air temperature and air humidity 75 RH and 35% sun irradiance is moderate.

Note: This article has supplementary file(s).

Keywords
chilli desease; expert system; fuzzy Mamdani
Full Text: Supp. File(s):
Fuzzy Inference Rules
Subject Complete Inference Rules
Type Research Instrument
  Download (1MB)    Indexing metadata

How to cite:

Article Metrics:

Article Info
Submitted: 2018-01-03
Published: 2018-04-19
Section: Articles
Language: ID
Statistics: 288 198
In Volume 6, Issue 2, Year 2018 (April 2018)
  1. M. Syukur, S. Sujiprihati, R. Yunianti, and D. A. Kusumah, "Evaluasi Daya Hasil Cabai Hibrida dan Daya Adaptasinya di Empat Lokasi dalam Dua Tahun," Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy), vol. 32, no. 1, pp 43-51, 2010.
  2. Berita Resmi Statistik, "Produksi Cabai Besar, Cabai Rawit, Dan Bawang Merah Tahun 2014," Badan Pusat Statistik (BPS), Jakarta, 2015.
  3. W. O. Muliastuty, S. R. P. Sitorus, R. Poerwanto, and H. Hardjomidjojo, "Teknik Pengelolaan Usaha Tani Tanaman Cabai Berkelanjutan Di Dataran Tinggi Kecamatan Cikajang Kabupaten Garut," Jurnal Manusia dan Lingkungan, vol. 23, no. 1, pp. 66-75, 2016.
  4. A. S. Duriat, N. Gunaeni, and A. W. Wulandari, "Penyakit Penting Pada Tanaman Cabai dan Pengendaliannya," Monografi No. 31, Balai Penelitian Tanaman Sayuran, Bandung, 2007.
  5. D. O. Nusantara, S. W. Pamungkas, N. R. Syaifudin, L. W. Kusuma, and J. Fikri, "Sistem Pakar Analisa Penyakit pada Tanaman Cabai Merah Menggunakan Metode Backward Chaining," Semnasteknomedia Online, vol. 5, no. 1, pp. 73-78, 2017.
  6. M. Fuljana, "Sistem Pakar Diagnosis Penyakit Tanaman Cabai Menggunakan Metode Forward Chaining Berbasis Android," Skripsi, Universitas Lampung, 2017.
  7. A. A. Muslim, R. Arnie, and S. Sushermanto, "Sistem Pakar Diagnosa Hama dan Penyakit Cabai Berbasis Teorema Bayes," JUTISI, vol. 4, no. 3, pp. 867-876, Desember 2015.
  8. M. Mulyanto, "Sistem Pakar Fuzzy untuk Diagnosis Penyakit pada Tanaman Cabai Merah," Skripsi, Institut Pertanian Bogor, 2011.
  9. S. Kusumadewi, Artificial Intelligence (Teknik dan Aplikasinya). Graha Ilmu, Yogyakarta, 2003.
  10. A. Kaur, and A. Kaur, "Comparison of Mamdani-Type and Sugeno Type Fuzzy Inference Systems for Air Conditioning System," International Journal of Soft Computing and Engineering (IJSCE), vol. 2, no. 2, pp. 323-325, May 2012.
  11. M. Blej, and M. Azizi, "Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Fuzzy Real Time Scheduling," International Journal of Applied Engineering Research, vol 11, no. 22, pp. 11071-11075, 2016.
  12. S. Batubara, "Analisis Perbandingan Metode Fuzzy Mamdani dan Fuzzy Sugeno untuk Penentuan Kualitas Cor Beton Instan," IT Journal Research and Development, vol. 2, no. 1, pp. 1-11, Agustus 2017.
  13. A. Mukti, O. D. Nurhayati, and E. D. Widianto, "Rancang Bangun Sistem Kontrol Robot Line Follower Menggunakan Logika Fuzzy," Jurnal Teknologi dan Sistem Komputer, vol. 3, no. 4, pp. 536-543, Oktober 2015.

Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer License URL: https://creativecommons.org/licenses/by-sa/4.0

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to JTSiskom journal and Department of Computer Engineering, Universitas Diponegoro as publisher of the journal. Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. 

JTSiskom journal and Department of Computer Engineering, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in JTSiskom journal are the sole and exclusive responsibility of their respective authors and advertisers.

The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form JTSiskom]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :  

Eko Didik Widianto (Editor-in-Chief)
Editorial Office of Jurnal Teknologi dan Sistem Komputer
Department of Computer Engineering, Universitas Diponegoro
Jl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275
Telp./Fax: +62-24-76480609
Email: jtsiskom@ce.undip.ac.id