APPLICATION OF THE CERTAINTY FACTOR METHOD FOR DIAGNOSE PALM OIL DISEASE WEB-BASED

isna isnaini; Iqbal Kamil Iqbal; Muhammad Ihsan Ihsan

doi:10.20884/1.jutif.2022.3.3.242

isna isnaini Prodi Sistem Informasi, SekolahTinggi Manajemen Informatika Komputer Royal Kisaran
Iqbal Kamil Siregar Program Studi Sistem Komputer, Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran
Muhammad Ihsan Program Studi Sistem Informasi, Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran

DOI: https://doi.org/10.20884/1.jutif.2022.3.3.242

Keywords: Expert System, Oil palm disease, Certainty Factor, PHP, MySQL

Abstract

Expert systems can serve as consultants advising users as well as expert assistants. One way to overcome and help detect disease in oil palm is to create an expert system as a media for consultation on oil palm plantations so as to minimize the occurrence of disease attacks that result in crop failure. This research uses qualitative research methods and is included in descriptive research. The data analysis method used in this research is the Cetainty Factor method and the search method used is forward data searching to find conclusions. Data collection techniques through interviews and literature study. This research uses PHP programming language with MySQL database. With the application of an expert system with the certainty factor method, it is expected and stored as a knowledge database in an expert system, it can help farmers to identify pests/diseases of oil palm quickly so that treatment does not last long.

Downloads

Download data is not yet available.

Author Biographies

Iqbal Kamil Siregar, Program Studi Sistem Komputer, Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran

Sistem Komputer

Muhammad Ihsan, Program Studi Sistem Informasi, Sekolah Tinggi Manajemen Informatika Komputer Royal Kisaran

Information System

References

M. D. Irawan and M. K. I. Nasution, “Rancang Bangun Sistem Pakar Mendiagnosa Penyakit Tanaman Kelapa Sawit Menggunakan Metode Bayes Berbasis Android (Studi Kasus : Perkebunan PTPN 4 Air Batu),” J. Teknol. Inf., vol. 2, no. 1, p. 15, 2018, doi: 10.36294/jurti.v2i1.403.

I. H. Santi and B. Andari, “Sistem Pakar Untuk Mengidentifikasi Jenis Kulit Wajah dengan Metode Certainty Factor,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 3, no. 2, p. 159, 2019, doi: 10.29407/intensif.v3i2.12792.

I. Technology, C. Science, A. Personality, and F. Chaining, “No Title,” vol. 3, 2020.

J. I. Polinema, “Pembuatan sistem pakar diagnosa penyakit padaburung puyuh dengan menggunakan metode,” pp. 1–6.

C. A. S. E. Ased et al., “Gambar 1 . Struktur Sistem Pakar ( Sutoyo , 2011 ) sebagai Representasi Pengetahuan Setiap rule terdiri dari dua bagian , yaitu bagian IF disebut evidence ( Fakta- fakta ) dan bagian THEN disebut Hipotesis atau kesimpulan . ( Sutoyo , IF E THEN H E : Evid,” vol. 5, no. 1, pp. 41–47, 2017, doi: 10.21063/JTIF.2017.V5.1.41-47.

K. E. Setyaputri, A. Fadlil, and S. Sunardi, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018, doi: 10.15294/jte.v10i1.14031.

J. A. Widians and F. N. Rizkyani, “Identifikasi Hama Kelapa Sawit menggunakan Metode Certainty Factor,” Ilk. J. Ilm., vol. 12, no. 1, pp. 58–63, 2020, doi: 10.33096/ilkom.v12i1.526.58-63.

Sutarman, “Dasar-Dasar Ilmu Penyakit Tanaman,” UMSIDA Press Sidoarjo, p. 115, 2017, [Online]. Available: http://eprints.umsida.ac.id/4208/1/Buku Dasar-Dasar Ilmu Penyakit Tanaman.pdf.

F. Afriliya and B. Al Fajar, “Keanekaragaman Jenis-Jenis Penyakit dan Cara Pengendaliannya di Pembibitan Kelapa Sawit (Elaeis Guinensis Jacq) PT. Perkebunan Nusantara I Langsa,” J. Biol. Samudra, vol. 1, no. 1, pp. 34–40, 2019.

M. Ir. ETTY EKAWATI, “Mata Pelajaran Pengendalian Hama Dan Penyakit Tanaman Perkebunan,” Mata Pelajaran Pengendali. Hama Dan Penyakit Tanam. Perkebuna, p. 170, 2017.

M. Destiningrum and Q. J. Adrian, “Sistem Informasi Penjadwalan Dokter Berbassis Web Dengan Menggunakan Framework Codeigniter ( Studi Kasus : Rumah Sakit Yukum Medical Centre ),” vol. 11, no. 2, pp. 30–37, 2017.

L. Pkl, P. Devisi, and H. Pt, “2) 1,2,” vol. 2, no. 2, pp. 12–26, 2018.

I. Arnomo, “Simulasi Backup Dan Restore Database Repository,” pp. 92–99.

R. Candra and N. Santi, “Implementasi Statistik dengan Database Mysql,” vol. 20, no. 2, pp. 132–139, 2015.

A. Kinerja et al., “No Title,” vol. 6341, no. November, pp. 1–9, 2018.

E. Ban, “Inti nusa mandiri,” vol. 14, no. 2, pp. 153–162, 2020.

J. Manajemen, S. Informasi, N. Y. Fitri, P. Studi, and M. Sistem, “Analisis Dan Perancangan Sistem Pendukung Keputusan Penilaian Kinerja Guru Dengan Menggunakan Metode Simple Additive Weighting (Saw) Pada Smk Yadika Jambi,” Manaj. Sist. Inf., vol. 2, no. 1, pp. 318–326, 2017.

Acihmah Sidauruk, “Sistem Pakar Diagnosa Penyakit Tanaman Kelapa Sawit Menggunakan Teorema Bayes,” Sist. Inf. Univ. AMIKOM Yogyakarta, vol. 18 NO. 1., pp. 51–56, 2017.

R. Permana et al., “Sistem Pakar Certainty Factor Dalam Mendiagnosis,” pp. 136–142, 2016.

M. D. Sinaga, “Penerapan Metode Case Based Reasoning ( CBR ) untuk Mengidentifikasi Penyakit Tanaman Sawit,” vol. 10. No.2, no. x, pp. 35–42, 2020.

P. Hasan, E. W. Sholeha, Y. N. Tetik, and K. Kusrini, “Sistem Pakar Diagnosa Penyakit Kolesterol Dan Asam Urat Menggunakan Metode Certainty Factor,” Sisfotenika, vol. 9, no. 1, p. 47, 2019, doi: 10.30700/jst.v9i1.448.

M. Afdal et al., “Sistem Pakar Diagnosa Penyakit Tanaman Kelapa Sawit ( Studi Kasus : PT . Permata Citra Rangau ),” J. Ilm. Rekayasa dan ManajemenSistem Inf., vol. 5, no. 2, pp. 218–223, 2019, [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/RMSI/article/view/8243.

Liza Nattasya M, Dahriansah, Cecep Maulana, “Expert System Diagnose Diseases In goats using the application Of Certainty Factor At The Asahan Districk Livestock Service,” Jurnal Teknik Informatika (JUTIF) DOI: https://doi.org/10.20884/1.jutif.2022.3.1.153 Vol. 3 No. 1, Februari2022, hlm. 169 -176. ISSN: 2723 - 3863