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 Perancangan Aplikasi Sistem Pakar Diagnosa Penyakit Ginekologi Menggunakan Metode Forward Chaining Berbasis Web Mobile

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Novi Yona Sidratul Munti ◽  
Ferri Achmad Effindri
Keyword(s):  
Expert System ◽  
Research And Development ◽  
Mobile Application ◽  
Development Process ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Gynecological Diseases ◽  
Gynecological Disease

The purpose of this research is to build the application of Expert System of gynecology diseases based on web mobile that can facilitate user in diagnose gynecological disease. This research uses Forward Chaining method. The results displayed are user conditions associated with gynecological diseases. Results are also equipped with illness and treatment solutions displayed in the form of website and mobile application using PHP programming with MySQL database. The conclusion in this research is to use Forward Chaining method on Expert System diagnose gynecological disease is very helpful in research and development process Expert System conducted. Expert system diagnosis of gynecological diseases built can make a diagnosis of gynecological diseases based on user-perceived symptoms, then the system will show the diagnosis and provide treatment solutionsKeyword : Expert System, gynecology, Forward Chaining, PHP MySQL

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

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 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.

scholarly journals SISTEM PAKAR MENDIAGNOSA PENYAKIT FLU BURUNG SECARA ONLINE DENGAN METODE FORWARD CHAINING

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Arif Kurniawan
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Computer System ◽  
System Application ◽  
Computer Software ◽  
Health Conditions ◽  
Bird Flu ◽  
Forward Chaining ◽  
Patient Health ◽  
Best First Search

An expert system can be defined as a computer software that has a knowledge base for a particular domain and uses inference reasoning resembling an expert in solving a problem. Expert System to diagnose bird flu disease to discuss about how to create an expert system application that if able to diagnose bird flu disease and provide solutions of the disease. Where the expert system when associated with the ability of doctors in the early mediagnosa patient health conditions, can be created a computer system that is tasked to know and analyze the symptoms of illness suffered by patients to then provide direct advice to these patients. Inference technique that is done is forward tracking (forward chaining) with the method of search (Best First Search).

scholarly journals Sistem Pakar untuk Diagnosa Penyakit Ayam Pedaging

2020 ◽  
Vol 4 (2) ◽  
pp. 75-84
Author(s):  
Wiwik Kusrini ◽  
◽  
Fathurrahmani Fathurrahmani ◽  
Rabini Sayyidati ◽  
◽  
...  
Keyword(s):  
Expert System ◽  
System Application ◽  
Input Data ◽  
Public Knowledge ◽  
Disease Treatment ◽  
The Public ◽  
Forward Chaining ◽  
Treatment And Prevention ◽  
Forward Looking

Tanah Laut Regency is the largest producer of broilers in South Kalimantan. However, public knowledge about symptoms and diseases in chickens is still lacking, so this is a problem that must be resolved because it can cause losses. Therefore, this research was conducted with the aim of overcoming this problem, namely by building an expert system application that can be used by the public and extension workers to diagnose chicken disease. The method used to build this system is a waterfall with the forward chaining technique as a forward-looking solution, meaning that inference is done by looking for input data in the form of symptom data in the form of chicken disease. The system built is equipped with features that display disease treatment and prevention solutions based on the symptoms that have been entered, so that disease-stricken chickens can be handled appropriately and quickly according to their disease. Based on blackbox testing carried out by involving potential users, the results obtained that all functionality can work as expected. Accuracy testing is also done by comparing manual calculations with an accuracy value of 95%. This is influenced by the weighting of the symptom value which affects the decrease in the value of the symptom result when compared to ideal conditions. In conclusion, the implications of using this system can make it easier for the community and instructor to diagnose chicken disease.

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