Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor
DOI:
https://doi.org/10.14421/jiska.2019.42-03Abstract
The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases. Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method.
Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor
References
Aryu Hanifah Aji, M. Tanzil Furqon, Agus Wahyu Widodo, Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor (CF), Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, Vol. 2, No. 5, , hlm. 2127-2134, Mei 2018.
D. Suryadi, R. Meilianda, A. Suryono, and M. Munadi, "Sistem Pakar untuk Mengidentifikasi Kerusakan Mesin Industri Menggunakan Metode Certainty Factor," ROTASI, vol. 20, no. 1, pp. 56-62, Jan. 2018.
Khairina Eka Setyaputri, Abdul Fadlil, dan Sunardi, Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT, Jurnal Teknik Elektro Vol. 10 No. 1, hal. 30-36, Januari - Juni 2018
Novi Sri Wanti Ginting, Anita Sindar RMS, Sistem Pakar Diagnosa Penyakit Kacang Kedelai Menggunakan Metode Certainty Factor, UPI YPTK Jurnal KomTekInfo Vol. 5, No. 1, , Hal.36-41. Desember 2018.
Yuliyana, Anita Sindar Ros Maryana Sinaga, Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naive Bayes, Fountain of Informatics Journal Volume 4, No. 1, hal. 19-23.Mei 2019.
Rudi Hariyanto, Khalimatus Sa’diyah, “Sistem Pakar Diagnosis Penyakit dan Hama Pada Tanaman Tebu Menggunakan Metode Certainty Factor”, Journal of Information Technology and Computer Science (JOINTECS), Vol. 3, No.1, hal 179-181, Januari 2018
Stephanie Halim, Seng Hansun, Penerapan Metode Certainty Factor dalam Sistem Pakar Pendeteksi Resiko Osteoporosis dan Osteoarthritis, ULTIMA Computing, Vol. VII, No. 2 | hal 59-69, Desember 2015.
Roindah Simalango, Anita Sindar Sinaga, Bayes Diagnosa Penyakit Ikan Hias Air Tawar Dengan Teorema Bayes, SinKron, Volume 3 Nomor 1, hal: 43-50, Oktober 2018.
Siti Mujilahwati, Diagnosa Penyakit Tanaman Hias Menggunakan Metode Certainty Factor Berbasis Web, JURNAL T Eknika V ol 6 N0 2 hal. 585-591, September 2014.
Sri Rahayu, Anita Sindar RM Sinaga, Penerapan Metode Naive Bayes Dalam Pemilihan Kualitas Jenis Rumput Taman CV. Rumput Kita Landscape, Jurnal Teknologi Informasi & Komunikasi Digital Zone, Volume 9, Nomor 2, hal: 162-171 November 2018.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms as stated in http://creativecommons.org/licenses/by-nc/4.0
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
