scholarly journals Sistem Pakar Online Pendeteksi Penyakit Tanaman Adenium Dengan Metode Prototyping

2019 ◽  
Vol 5 (1) ◽  
pp. 51-58
Author(s):  
Syahriani Syahriani ◽  
Dimas Aryo Dirgantoro
Keyword(s):  
Expert System ◽  
System Application ◽  
Plant Disease ◽  
Plant Diseases ◽  
Suitable Method ◽  
Forward Chaining

- This adenium plant is a plant that began to demand by many hobbyist plants because plants have unique characteristics Adenium. In addition adenium treatment is also very easy, but adenium plants are also susceptible to pest disease, so it becomes a disease that can make this adenium plant damaged or dead. The lack of expert on adenium plant diseases causes the hobbyists to find it difficult to recognize the symptoms and ways to cure when the plant is infected with the disease. This expert system is made to facilitate the hobbyists in coping with adenium plant diseases. The method used in this expert system is forward chaining, because the Forward Chaining method is a suitable method for the control and forecasting of adenium plant diseases. This expert system application will display the question about the symptoms of adenium plant disease that attack and can be found the solution by experts who have experienced in their field, after that the system will display the results of the disease that attacks his adenium plants along with the characteristics and how to cope with the disease.  Keywords: Adenium, Expert System, Forward Chaining

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

scholarly journals Jurnal APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT CAMPAK DAN PENCEGAHAN DENGAN METODE FORWARD CHAINING BERBASIS WEB

2019 ◽  
Vol 8 (2) ◽  
pp. 53-59
Author(s):  
Refni Wahyuni
Keyword(s):  
Expert System ◽  
Data Storage ◽  
System Application ◽  
Tracking Method ◽  
Application Program ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Lay People ◽  
Technology And Communication

ABSTRAK             Pada saat ini perkembangan teknologi dan komunikasi dari waktu ke waktu terasa semakin pesat. Salah satu aplikasi dibidang komunikasi adalah sistem pakar. Program aplikasi sistem pakar   yang dirancang adalah sistem pakar untuk mendiagnosa penyakit seperti penyakit campak. Dengan adanya program aplikasi ini diharapkan orang awam yang kurang pengetahuan tentang penyakit campak akan menjadi lebih mengetahuinya. Kemudian aplikasi ini mudah penggunaannya dalam mendiagnosa penyakit campak tanpa harus pergi ke dokter, serta mudah diakses dimana pun dan kapan pun. Metode pelacakan yang digunakan adalah metode penalaran forward chaining (pelacakan ke depan). Program ini dirancang dengan menggunakan media pemrograman PHP (Hypertext Preprosessor) dan menggunakan database MySQL sebagai penyimpanan data yang tujuannya agar tampilan dapat lebih menarik dan mudah dalam penggunaannya, juga bisa diakses internet.              Kata Kunci : Sistem Pakar, Diagnosa Campak, Forward Chaining                                                             ABSTRACT           At this time the development of technology and communication from time to time seem more rapidly. One application in the field of communication is an expert system. Expert system application program is an expert system designed to diagnose diseases such as measles. With the application program is expected to lay people who lack knowledge of measles will be more informed. Then the application is easy to use in diagnosing measles without having to go to the doctor, as well as easily accessible wherever and whenever. Tracking method used is a forward chaining reasoning method (tracking ahead). The program is designed using PHP programming media (Hypertext Preprosessor) and uses a MySQL database as a data storage objective that can display more attractive and easy to use, can also be accessed internet. Keywords : Expert System, Diagnosis Measles, Forward Chaining

scholarly journals Aplikasi Sistem Pakar Diagnosa Penyakit Pada Anak Bawah Lima Tahun Menggunakan Metode Forward Chaining

2017 ◽  
Vol 3 (1) ◽  
pp. 61 ◽  
Author(s):  
Bagus Fery Yanto ◽  
Indah Werdiningsih ◽  
Endah Purwanti
Keyword(s):  
Expert System ◽  
System Application ◽  
Disease Diagnosis ◽  
Information Collection ◽  
Forward Chaining ◽  
Second Stage ◽  
Children Health ◽  
Third Stage ◽  
Testing Data ◽  
Three Stages

Abstrak— Anak-anak pada usia 2 bulan sampai 5 tahun (Balita) lebih rentan terkena penyakit. Lingkungan sangat mempengaruhi kesehatan Balita. Penelitian ini bertujuan untuk membuat sebuah aplikasi sistem pakar diagnosa penyakit pada Balita berbasis mobile. Penelitian ini terdiri dari tiga tahap. Tahap pertama adalah pengumpulan data dan informasi dari Manajemen Terpadu Balita Sakit (MTBS) dan wawancara dengan Bidan. Dari pengumpulan data dan informasi tersebut ditemukan fakta penyakit, keluhan, gejala dan saran penanganan. Tahap kedua adalah pembuatan rule dengan 18 penyakit. Tahap ketiga adalah implementasi aplikasi sistem pakar berbasis mobile dengan fitur diagnosa penyakit, riwayat diagnosa dan kumpulan penyakit. Aplikasi sistem pakar yang dibuat dapat mendiagnosa penyakit dan memberikan saran penanganan. Hasil evaluasi dari 50 data uji coba menghasilkan tingkat akurasi sebesar 82%, dimana 41 hasil diagnosa yang benar dan 9 diagnosa yang salah. Kata Kunci— Sistem Pakar, Forward Chaining, Diagnosa Penyakit, Manajemen Terpadu Balita Sakit, Knowladge BaseAbstract— Children at the age of 2 months to 5 years (toddlers) are more susceptible to disease contagious. Environmental condition significantly influences the children health. This  research aimed to create a mobile-based expert system application to diagnose disease in toddlers. This research consist of three stages. The first stage were data and information collection from Manajemen Terpadu Balita Sakit  (MTBS) and interview with medical staffs. From the first stage, we can discover the disease facts, signs, symptoms and treatment advices. The second stage was the construction of rules for 18 diseases. The third stage was the implementation of mobile-based expert system application with features of disease diagnosis, diagnosis history and collection of disease diagnosis. Expert system application made able to diagnose the disease and provide treatment advice. The results of evaluation using 50 testing data provides the level of accuracy of 82%, where 41 diagnosis result were true and 9 diagnosis were false. Keywords— Expert System, Forward Chaining, Disease Diagnosis, Manajemen Terpadu Balita Sakit, Knowledge Base

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 Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android

2021 ◽  
Vol 5 (1) ◽  
pp. 74
Author(s):  
Syavira Cahyaningsih ◽  
Agung Triayudi ◽  
Ira Diana Sholihati
Keyword(s):  
Expert System ◽  
System Application ◽  
Normal Skin ◽  
Skin Care ◽  
Skin Type ◽  
Facial Skin ◽  
Certainty Factor ◽  
Dry Skin ◽  
Forward Chaining ◽  
Level Of Confidence

Using skincare and facial skin care must be in accordance with the type of facial skin, because if it is not suitable, it can cause problems such as facial skin breakouts, dry skin, irritated skin, and acne prone skin. To find out the type of facial skin, you have to do an examination with a skin and genital specialist, but the high cost of consultation and the long queue process is an obstacle for everyone. Therefore, the authors created an expert system to identify facial skin types using a combination of certainty factor methods with forward chaining techniques. The diagnostic results from calculations using an expert system application and the results of manual calculations from one of the respondent data from 100 respondent data, namely producing the same level of confidence, each of which produces a percentage of 99.45% and the diagnostic results state that the user has a normal skin type.

scholarly journals Expert System for Hydroponic Vegetable Cultivation Using Forward and Backward Chaining Inference Technique

Jurnal INFORM ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 69-74
Author(s):  
Habil Tria Sakti ◽  
Ahmad Thoriq
Keyword(s):  
Expert System ◽  
Plant Growth ◽  
Farming System ◽  
Plant Diseases ◽  
Hydroponic System ◽  
Backward Chaining ◽  
Main Obstacle ◽  
Forward Chaining ◽  
Hydroponic Cultivation ◽  
Vegetable Cultivation

Hydroponics systems require tremendous attention both in nutrition, plant growth, the risk of pest and disease attacks. Thus, this hydroponic farming system requires high experience and expertise that is the main obstacle for business actors who want to start a vegetable cultivation business with a hydroponic system, especially for business actors who do not have a background in agriculture. The hydroponic cultivation expert system in this study aims to detect plant diseases and pests and provide solutions to these diseases. In addition, this expert system application also aims to monitor plant needs, so this application can help farmers grow up hydroponic vegetable cultivation businesses. The combination of the forward and backward chaining methods is applied to detect plant diseases and pests. Whereas the forward chaining method use to monitor plant needs. The combination of the forward and backward chaining methods in identifying plant diseases and pests can make it easier for users to determine the suffered by plants and provide information about these diseases. The application of the forward chaining method in monitoring plant needs can identify the level of fulfilment of entails of each component of plant needs according to the type of plant and the day after planting. The application of this hydroponic expert system can overcome the limited number of hydroponic experts in helping farmers identify plant diseases and pests and monitor plant needs.

scholarly journals Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android

2020 ◽  
Vol 5 (3) ◽  
pp. 329
Author(s):  
Bayu Abrianto Risnadi ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Calculation Results ◽  
Manual Calculation

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.

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.

Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 267
Author(s):  
Nurholis Nurholis ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Expert System ◽  
System Application ◽  
Confidence Level ◽  
Bachelor's Degree ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Final Project ◽  
Level Of Confidence ◽  
Stress Levels ◽  
Predetermined Time

Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.Keywords:Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, Stress.

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