scholarly journals PERANCANGAN SISTEM PAKAR UNTUK IDENTIFIKASI GANGGUAN HAMA DAN PENYAKIT PADI (ORYZA SATIVA) MENGGUNAKAN METODE FORWARD CHAINING

2020 ◽  
Vol 6 (1) ◽  
pp. 39-44
Author(s):  
Agusman Agusman ◽  
Ilyas Ilyas
Keyword(s):  
Oryza Sativa ◽  
Expert System ◽  
Rice Plant ◽  
Science And Technology ◽  
Rice Plants ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Disease Information ◽  
Rice Disease

With the development of science and technology, this pest and rice disease information can not only be obtained through consultation with experts, but also can be known through an expert system. This will help the consumer to facilitate in consultation on diseases and pests of rice plants. The results obtained from this study are: This system can help facilitate the community in detecting damage to his crops caused by pests and diseases. Able to provide diagnostic results  based  on  the  symptoms  found.  Implementation  of  forward  chaining method is able to answer the problem of society in analyzing the type of disease or pest causing damage to rice plant based on the collected knowledge

scholarly journals Pest Detection Expert System And Method Using Bayes Rice Diseases

2020 ◽  
Vol 2 (2) ◽  
pp. 313-319
Author(s):  
WIWIN CINDYTIA WAHYUN ◽  
ARJON SAMUEL SITIO
Keyword(s):  
Expert System ◽  
Bayes Method ◽  
Rice Plants ◽  
Pests And Diseases ◽  
Rice Disease ◽  
Pest Detection ◽  
Fertile Land

Indonesia is included in an agricultural country that is rich in agriculture, fertile land in Indonesia allows for the growth of various types of plants, one of which is rice. But in the cultivation of rice plants, it will never be separated from pests and diseases of rice plants, so that the growth of rice plants is not optimal. Due to the large number of pests and diseases that can attack rice plants, it is necessary to take proper care in dealing with pests and diseases of rice plants to avoid losses that can result in reduced production of rice plants. Therefore an expert system was created which was expected to help farmers in consulting about diseases and pests contained in their rice plants to the experts without having to meet with experts directly. In its identification, the expert system for diagnosing ahama and rice disease uses the Bayes method and uses the Website in its implementation.

scholarly journals Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi

2018 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Khurotul Aeni
Keyword(s):  
Expert System ◽  
Rice Plant ◽  
Knowledge Society ◽  
The Other ◽  
Human Being ◽  
Human Knowledge ◽  
Forward Chaining ◽  
Community Or ◽  
Pests And Diseases ◽  
Plant Pests

  So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts

Analisis Cara Kerja Sistem Pakar Menggunakan Metode Forward Chaining Untuk Diagnosa Hama Dan Penyakit Tanaman Padi Berbasis Android

2021 ◽  
Author(s):  
Ayu Antika
Keyword(s):  
Expert System ◽  
System Application ◽  
Ordinary People ◽  
Input Information ◽  
Rice Plants ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Rice Pests ◽  
Tracking Process

This research aims to develop an expert system application that can help farmers diagnose rice pests and diseases. With this expert system, farmers can get information about the types of pests and diseases in rice plants and determine the appropriate solution to overcome them without having to meet with experts. The farmers or ordinary people can solve the problem or just want to find some information about agriculture which basically can only be obtained from experts in their fields. The method used in building the expert system application is the Forward Chaining method, which is the tracking process that starts from the input information, then tries to draw a conclusion. From this study will produce an Android-based application in diagnosing pests and diseases in rice plants.

scholarly journals Sistem Pakar Diagnosa Hama Penyakit Tanaman Padi Dan Holtikultura Menggunakan Metode Forward Chaining Berbasis Android

2019 ◽  
Vol 5 (2) ◽  
pp. 265-270
Author(s):  
Frengki Pernando ◽  
Ahmad Fauzi
Keyword(s):  
Expert System ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Knowledge Application ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Internet Media ◽  
Plant Pest ◽  
Information And Communication ◽  
Many Sources

The development of information and communication technology-based smartphones and mobilephone growing rapidly. It is characterized by the number of smartphone users in the community. Utilization of information and communication technology is implemented in the form of knowledge application. One of these applications on the world agricultural expert system based on mobile. Knowledge of this expert system has many sources including research or research and observations that have been practiced by experts and issued either through web resources and other sources such as agricultural books, journals and others. This expert system uses Forward Chaining method using base database organized into a table in a rule that an expert and user can draw conclusions from what has been diagnosed by this expert system. Application of expert system designed and developed as an expert tools and users in diagnosing pests and diseases of rice plants and horticulture of the analysis by an expert and analysis according to the book or internet media. This expert system will show the questions will then be selected by the user to find a solution on the diagnostics program that has been done on this expert system. In addition the expert system is equipped with the paperwork to determine how plant pest management, plant species and type of fertilizer.

scholarly journals Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer

2020 ◽  
Vol 2 (2) ◽  
pp. 248-257
Author(s):  
Dianmita Ayu Putri ◽  
Arik Aranta
Keyword(s):  
Expert System ◽  
Theoretical Calculation ◽  
Rice Plant ◽  
Crop Production ◽  
Black Box ◽  
Plant Diseases ◽  
Test Results ◽  
Forward Chaining ◽  
Opinion Score ◽  
Black Box Testing

Rice (Oryza sativa) is one of the main commodities in Indonesia. One of the inhibitors of rice crop production is disease. Rice plant diseases can be caused by pathogens, host plants or bad environment. The process of diagnosing rice diseases requires expertise, knowledge and experience. This study aims to build an expert system that can diagnose 13 types of rice plant diseases from 43 symptoms based on the knowledge of 3 experts with forward chaining reasoning methods and mobile-based dempster shafer calculation methods. The testing technique used is black box testing, theoretical calculation testing, system accuracy testing and MOS (Mean Opinion Score) testing. The black box test results state that the expert system has 100% compatibility in terms of functionality. The theoretical calculation test results state that the expert system calculations are in accordance with the results of manual calculations. System accuracy testing results from 30 test cases get an accuracy of 81.11%. The results of MOS testing conducted on 30 respondents produced MOS of 4.2 from a scale of 5 categorized into a good system.

scholarly journals Salivary Protein NlSP7 of The Brown Planthopper Functions As An Effector for Mediating Tricin Metabolism in Rice Plants

2021 ◽  
Author(s):  
Gu Gong ◽  
Long-Yu Yuan ◽  
Yi-Feng Li ◽  
Hang-Xiang Xiao ◽  
Yan-Fang Li ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Food Intake ◽  
Rice Plant ◽  
Artificial Diet ◽  
Mrna Level ◽  
Brown Planthopper ◽  
Nilaparvata Lugens ◽  
Salivary Protein ◽  
Rice Plants ◽  
Important Pest

Abstract The brown planthopper (BPH), Nilaparvata lugens, is an important pest that affects rice (Oryza sativa) production in Asia. The flavone tricin (5,7,4ʹ-trihydroxy-3ʹ,5ʹ-dimethoxy flavone) is a valuable secondary metabolite commonly found in rice plants that can defend rice plants against infestation by BPH. BPH damage can reduce the metabolic level of tricin in rice. Our preliminary transcriptome research results showed that BPH salivary protein 7, NlSP7, is highly responsive to tricin stimuli. However, the function of NlSP7 in mediating the interaction between the rice plant and the BPH is unknown. In this study, we cloned the NlSP7 gene in N. lugens and found that its mRNA level was greater in the presence of high tricin content than low tricin content, regardless of whether the BPHs were fed a rice plant diet or an artificial diet containing 100 mg/L tricin. Knocking down NlSP7 resulted in BPH individuals spending more time in the non-penetration and pathway phase, and less time feeding on the phloem of rice plants. These changes decreased BPH food intake, feeding behavior, and fitness, as well as the tricin content of the rice plants. These findings demonstrate that the salivary protein NlSP7 of BPH functions as an effector for tricin metabolism in rice.

DESIGN AND BUILT AN EXPERT SYSTEM APPLICATION FIR DIAGNOSING HUMAN EYE DISEASES BY USING FORWARD CAHINING METODH WEB-BASED

KOMTEKINFO ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 73-77
Author(s):  
Harkamsyah Andrianof
Keyword(s):  
Expert System ◽  
System Application ◽  
Human Life ◽  
Eye Diseases ◽  
Human Vision ◽  
Web Based ◽  
Human Eye ◽  
Forward Chaining ◽  
Disease Information ◽  
Five Senses

The eye is one of the five senses that has a very important role in human life, namely as the organ of vision. If there is interference with the eye or there is a disease, it is very influential on human vision. Its mean that we can conclude that eye is very important in our lie and must be keep for our body.  The purpose of this research to planning and develop the diagnose of expert system about diagnosing of diseases in the eye which include disease information about symptoms or the solution and have role to replace and imitate the process of the reason from an expert in solve the specification problem. the method used for reasoning is forward chaining method. The result of this research is expert system of diagnosing eyes diseases in humans which computerized who can be used for giving information and have benefit in diagnosing disease.

scholarly journals PENERAPAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA HAMA ANGGREK COELOGYNE PANDURATA

2017 ◽  
Vol 4 (2) ◽  
pp. 136
Author(s):  
Doddy Teguh Yuwono ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Expert System ◽  
Confidence Level ◽  
Human Intervention ◽  
Certainty Factor ◽  
Orchid Species ◽  
Epiphytic Orchid ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Existing Problems ◽  
Factor Method

<p><em>Coelogyne Pandurata or better known by the general name of black orchid, this orchid species only grows on the island of Borneo. Coelogyne Pandurata is an epiphytic orchid attached to other plants but not harmful. This orchid is one endemic of Borneo that requires human intervention to maintain its sustainability. Orchid plants are very susceptible to various pests and diseases. Because many orchid species are cultivated, the disease is difficult to recognize, because the symptoms of disease on orchids vary depending on the variety. The methods applied in this calculation are used Forward Chaining and Certainty Factor methods. This expert system allows users to diagnose pests that attack the Orchid Coelogyne Pandurata plant (Black Orchid Borneo) from various literature and initial observations. The result of application of Forward Chaining and Certainty Factor Method can give pest diagnosis on Orchid Coelogyne Pandurata based on the symptoms given Based on the calculation, the description of confidence level based on the interpretation table of the expert and the final percentage of 93.0736% is Very Probably both methods are applied To solve existing problems.</em></p><p><em><strong>Keywords</strong></em><em>: Coelogyne Pandurata</em><em>,</em><em> </em><em>C</em><em>ertainty </em><em>F</em><em>actor, Expert system, </em><em>Forward Chaining</em></p><p><em>Coelogyne Pandurata atau lebih dikenal dengan nama umum anggrek hitam, spesies anggrek ini hanya tumbuh di pulau kalimantan. Coelogyne Pandurata merupakan anggrek epifit yaitu menempel pada  tanaman lain tetapi tidak merugikan. Anggrek ini merupakan salah satu endemik kalimantan yang memerlukan campur tangan manusia untuk menjaga kelestariannya. Tanaman anggrek sangat rentan terhadap berbagai serangan hama dan penyakit. Karena jenis tanaman anggrek banyak dibudidayakan, menyebabkan penyakitnya sukar dikenal, karena gejala serangan penyakit pada anggrek bervariasi tergantung dari varietasnya.</em><em> </em><em>Metode yang diterapkan dalam perhitungan</em><em> </em><em>ini digunakan</em><em> metode </em><em> </em><em>Forward Chaining dan C</em><em>ertainty </em><em>F</em><em>actor</em><em>. Sistem pakar ini</em><em> memungkinkan pengguna mendiagnosa hama yang menyerang tanaman Anggrek Coelogyne Pandurata (Anggrek Hitam Kalimantan) dari berbagai literatur dan pengamatan awal</em><em>. </em>Hasil penerapan Metode <em>Forward Chaining</em> dan <em>Certainty Factor</em> dapat memberikan diagnosa hama pada <em>Anggrek </em><em>Coelogyne Pandurata</em> berdasarkan gejala-gejala yang diberikan  Berdasarkan hasil perhitungan, maka keterangan tingkat keyakinan berdasarkan tabel interpretasi dari pakar dan persentase akhir sebesar <strong>93,0736% </strong>adalah <strong>Sangat Mungkin </strong>kedua metode ini diterapkan untuk menyelesaikan masalah yang ada.</p><p><em><strong>Kata kunci</strong></em><em>: Coelogyne Pandurata</em><em>,</em><em> </em><em>C</em><em>ertainty </em><em>F</em><em>actor, </em><em>Forward Chaining</em><em>,</em><em> S</em><em>istem pakar</em></p><p><em><br /></em></p>

scholarly journals Pertumbuhan dan Hasil Beberapa Varietas Tanaman Padi (Oryza sativa L.) pada Tingkat Kondisi Kekeringan

2016 ◽  
Vol 1 (1) ◽  
pp. 176-187
Author(s):  
Mawardi Majid
Keyword(s):  
Oryza Sativa ◽  
Combination Treatment ◽  
Rice Plant ◽  
Oryza Sativa L ◽  
Growth And Yield ◽  
Drought Effect ◽  
Rice Plants ◽  
Drought Conditions ◽  
Effect On Growth

Abstract. This research aims to know the growth and yield of some varieties of rice plant on the level of drought conditions. Implemented in a plastic garden House experiments Faculty of Agriculture University of Syiah Kuala in September 2015 – January 2016. The design used in this research is the design of Swath (RPT) is divided into 3 x 3 i.e. 3 repeats the experiment, with three levels of drought, namely K0 = 0, K1 =-35 and K2 =-70 kPa equivalent to K0 = 0, K1 =-0.35, K2 =-0.70 MPa and 3 varieties that are used i.e. V1 (Situ patenggang), V2 (Sanbei) and V3 (IR64) thus there are 9 combination treatment. The results of this study show that treatment of drought effect on growth and yield of rice plants. Treatment of varieties also have an effect on growth and yield of rice plants, and there is interaction between varieties and drought against the growth and yield of rice, the highest result found in Situ Patenggang varieties. Key words: drought, variety, growth and yield of rice plant

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