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All Journal Jurnal Pepadun
Albertus Sudirman
Jurusan Budidaya Tanaman Perkebunan, Politeknik Negeri Lampung
Computer Science & IT

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RANCANG BANGUN APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT PADA TANAMAN KELAPA SAWIT MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Bambang Hermanto; Albertus Sudirman; Nabilla Tsamara
Jurnal Pepadun Vol. 1 No. 1 (2020): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.535 KB) | DOI: 10.23960/pepadun.v1i1.7

Abstract

This research aims to develop an expert system application that can facilitate users in diagnosing oil palm plant diseases based on symptoms. The data used in this expert system consists of 7 diseases and 12 symptoms of oil palm plants. Expert system that is built on web-based using a rule with the Forward Chaining method to identify diseases. Testing has been done in two stages. They are internal testing and external testing. Internal testing consists of functional testing and system expertise testing. Functional testing using the Black Box method with the Equivalence Patitioning (EP) technique shows that the developed system functions as expected. Expertise testing is done by comparing the results of the diagnosis by the system and the results of the diagnosis by experts to produce a diagnosis of system expertise as expected. External testing is done by giving questionnaires to 23 respondents who were divided into 2 groups to get an assessment of the system. The questionnaire results of the group I (Experts) obtained a satisfaction value of 81%, while the group II (Students of the Department of Plantation Cultivation) obtained a satisfaction value of 75%.
Aplikasi Sistem Pakar Berbasis Android dengan Metode Certainty Factor untuk Mendiagnosis Penyakit pada Tanaman Karet Bambang Hermanto; Albertus Sudirman; Akmal Junaidi; Arif Pebriansyah
Jurnal Pepadun Vol. 3 No. 3 (2022): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i3.128

Abstract

Rubber is an important plantation commodity as a source of income, employment and foreign exchange opportunities, as an engine of economic development in new centers within the rubber plantation environment. Rubber plant diseases generally cause economic losses to rubber plantations. Lack of knowledge of farmers to control rubber plant diseases can result in losses and ultimately reduce farmers' income. Therefore, it is necessary to build a system that can diagnose diseases like an expert or an expert. The method used in this system is the certainty factor method which is used to prove whether a fact is certain or uncertain. This method is very suitable for expert systems that diagnose uncertainty. After that, a system validity test is carried out which aims to test the ability of the expert system to identify diseases. Based on the test results, the highest disease score was tapping groove disease with a disease percentage of 94.96%, while the lowest disease percentage was red root fungus disease with a percentage of 79%, with an average test result above 75% so that it was concluded that the system can diagnose rubber plant diseases well in accordance with the results of the diagnosis obtained.
Co-Authors Akmal Junaidi Arif Pebriansyah Bambang Hermanto Nabilla Tsamara