scholarly journals Sistem Pakar Menentukan Maksimal Kalori Harian Berbasis Mobile

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Teddy Santya ◽  
Cosmas Eko Suharyanto ◽  
Pastima Simanjuntak ◽  
Alex Alfandianto
Keyword(s):  
Expert System ◽  
Everyday Life ◽  
Dietary Habit ◽  
Test Results ◽  
Inference Method ◽  
Web Based ◽  
Forward Chaining ◽  
Server Side ◽  
Registered User ◽  
Flow Of Time

The study was conducted because of many concerning event happened in purpose of losing weight in improper methods. By the flow of time with technologies developed in this century, Smartphone became one of necessity because of the feature by many applications which helps a lot in our everyday life of humanity. The Researcher conducted this research of mobile-based application expert system which helps people properly losing their weight, this expert system is a supporting utility for taking care of dietary habit based on the amount of calorie limit calculated by this system, and recommends suitable and healthy food for users. This system is built with React Native framework. The calculation in this system is based on information of weight, height, and age provided by users, and all prediction will not be done without the provided information and every calculation is handled by web-based server-side processing which is developed using Laravel Framework. Inference method used by the researcher is Forward Chaining. This expert system will validate user's requirement to start working on losing weight by using Forward Chaining Inference method. Every successfully registered user will be able to view their calculated information by this system which is maximum calorie value, and list of healthy and recommended foods information provided by the expert herself. From the test results, the Expert System can solve the problem of giving a way to run a proper diet program by adjusting the diet with the calories needed.

scholarly journals Web-based Expert System Application to Recommend Computer Specifications for Gaming Using Backward Chaining Inference Method

2017 ◽  
Vol 13 (2) ◽  
pp. 110
Author(s):  
Gottfried Christophorus Prasetyadi ◽  
Mahfudin Mahfudin
Keyword(s):  
Expert System ◽  
System Application ◽  
General Purpose ◽  
Computer Hardware ◽  
Inference Method ◽  
Web Based ◽  
Backward Chaining ◽  
Server Side ◽  
Scripting Language ◽  
The Cost

This study aims to design and implement an expert system application to provide minimum computer hardware and operating system requirements, which are capable of running games with certain graphical settings. Backward chaining inference method is used to conclude the output, which the requirements are based on user’s input. The application is made using PHP general-purpose server-side scripting language and MySQL database. By using this application, a user can consult as well as to an expert to know the computer specifications capable of running a game with preferred graphical settings and to estimate the cost to build that computer. This application can also help sellers of computer parts to set price on the custom-built computers, to create category or sales package, as well as to provide information for potential buyers.

scholarly journals The SISTEM PAKAR MENDIAGNOSA PENYAKIT DEMAM BERDARAH DENGUE (DBD) MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

2019 ◽  
Vol 8 (2) ◽  
pp. 34-46
Author(s):  
Yulisman Yulisman
Keyword(s):  
Expert System ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Test Results ◽  
Web Based ◽  
Advanced Method ◽  
Forward Chaining ◽  
System Method ◽  
Five Phases

Dengue hemorrhagic fever is a disease caused by the dengue virus. This disease is transmitted through the bite of Aedes aegepty and Aedes albopictus mosquitoes. Dengue hemorrhagic fever is an infectious disease that often causes outbreaks and causes death. Usually dengue fever is diagnosed late. The purpose of this study is to design and create an expert system that is able to diagnose early and provide solutions for dengue fever according to the knowledge of an expert. This expert system is web-based using the programming language PHP and MySQL as the database. The method used is forward chaining, which is an advanced method based on the premises in the rules and facts given by the user. The method used in the manufacture and development of expert systems is the waterfall system method which consists of five phases. Test results based on advanced sequences, namely the system is able to obtain clinical diagnosis results and the system is able to provide information and solutions about dengue fever based on the knowledge and abilities of the doctor.

scholarly journals SI-PAKARDI (Sistem Pakar Diagnosa Penyakit Gigi) Menggunakan Metode Forward Chaining

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Andrian Eko Widodo ◽  
Suleman Suleman ◽  
Angga Ardiansyah ◽  
Dany Pratmanto ◽  
Sopian Aji ◽  
...  
Keyword(s):  
Expert System ◽  
Expert Knowledge ◽  
Dental Health ◽  
Dental Disease ◽  
Test Results ◽  
Inference Method ◽  
Community Based ◽  
Forward Chaining ◽  
Dental Diseases ◽  
System Knowledge

AbstractThe lack of knowledge about dental health and the still limited awareness of the community about dental health, makes some of our community set aside in efforts to prevent or treat dental disease. So we need a system or application that can help people to find out about dental diseases, as well as solutions to overcome these problems. This expert system knowledge base is formed by the if-then rules. The inference method used is forward chaining. This dental disease expert system is based on Android so it can be used anytime and anywhere by the community. Based on the acquisition of expert knowledge obtained 12 rules, 12 diseases, 25 symptoms. Blackbox test results show the application features that are made to run with a fairly good level of success. Unit test results indicate that the application has succeeded in making inferences properly and correctly, in accordance with applicable rules.Keywords: Dental disease, forward chaining, android, expert systemAbstrakMinimnya pengetahuan kesehatan gigi dan masih terbatasnya  kesadaran masyarakat tentang kesehatan gigi, membuat sebagian masyarakat kita mengesampingkan dalam upaya mencegah atau mengobati penyakit gigi. Maka diperlukan suatu sistem atau aplikasi yang dapat membantu masyarakat untuk mengetahui tentang penyakit gigi, serta solusi untuk mengatasi permasalahan tersebut. Basis pengetahuan sistem pakar ini dibentuk dengan aturan if-then. Metode inferensi yang digunakan adalah forward chaining. Sistem pakar penyakit gigi ini dibuat berbasis android agar bisa digunakan kapan saja dan dimana saja oleh masyarakat. Berdasarkan akusisi pengetahuan pakar didapat 12 aturan, 12 penyakit, 25 gejala. Hasil uji blackbox menunjukan fitur-fitur aplikasi yang dibuat berjalan dengan tingkat berhasilan yang cukup baik. Hasil pengujian unit menunjukkan bahwa aplikasi telah berhasil melakukan inferensi dengan baik dan benar, sesuai kaidah yang berlaku. Kata kunci : Penyakit gigi, forward chaining, android, sistem pakar

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

scholarly journals Web based Expert System dalam Penanganan Kesehatan dan Penyakit Kucing di Kota Padang

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrew Kurniawan Vadreas
Keyword(s):  
Expert System ◽  
Small Animal ◽  
Web Based ◽  
Forward Chaining

Paper ini membahas tentang penanganan penyakit pada kucing dengan dukungan expert system. Dengan mengimplementasikan perkembangan teknologi saat ini yang dapat menyelesaikan suatu permasalahan layaknya seorang manusia. Penanganan penyakit pada kucing saat ini masih dilakukan dengan uji laboratorium, dan menggunakan kertas sebagai form perhitungan hasil diagnosa yang dilakukan oleh dokter pada Dinas Peternakan dan Kesehatan Hewan dan Klinik Zech Small Animal di kota Padang. Dari permasalahan tersebut dibuatlah suatu web tempat untuk konsultasi berbagai cara penanganan kesehatan kucing baik berupa mencegah dan mengobati penyakit kucing dari gejala-gejala yang ditimbulkan. Tahapan penelitian dimulai dari pengumpulan data berupa interview langsung dengan dokter hewan dan beberapa buku sebagai study literatur, dilanjutkan dengan perancangan sistem aplikasi berbasis web menggunakan metode forward chaining, kemudian dilakukan pengembangan serta pengujian sistem pada Dinas Peternakan dan Kesehatan Hewan dan Klinik Zech Animal di kota Padang. Terdapat 21 Penyakit yang dihasilkan diimplementasikan kedalam sebuah aplikasi web based expert system. Aplikasi ini mampu membantu para pecinta kucing (cat lovers) untuk melakukan penanganan penyakit dan pencegahan pada kucing kesayangan mereka.

scholarly journals Sistem Pakar Juru Pemantau Jiwa (Jumanji) Berbasis Web Dengan Metode Forward Chaining

2020 ◽  
Vol 1 (1) ◽  
pp. 23-34
Author(s):  
Muhammad Adil ◽  
Henny Leidiyana
Keyword(s):  
Expert System ◽  
Mental Disorders ◽  
Black Box ◽  
Web Based ◽  
The Public ◽  
Forward Chaining ◽  
Lack Of Information ◽  
The Family ◽  
Box Method ◽  
Made In

Abstract   Through the mass media news is often found about how a family or community handles family members who have mental disorders by mounting, isolating, and even throwing them away. This shows that one of the things that causes the family to handle the problem inappropriately is the lack of information about diagnoses of mental disorders so that they take actions that could make the sufferer worse. The expert system designed by the writer here aims to produce an expert system that can be used by the general public. The system is made in such a way that it can be used easily to provide knowledge to the public about mental disorders and how to deal with it. With this expert system, families and even the surrounding community can take appropriate action if there are people with mental disorders in the vicinity. This expert system uses a method that is quite popular, namely Forward Chaining which is implemented in the form of a web-based application program. Application is made using the PHP programming language then testing based on the Black Box method   Keywords: Expert system, Mental disorder, Forward Chaining.   Abstrak   Melalui media massa sering dijumpai berita tentang bagaimana sebuah keluarga atau masyarakat menangani anggota keluarganya yang mengalami gangguan jiwa dengan cara memasung, mengucilkan, bahkan membuangnya. Ini menunjukkan bahwa salah satu hal yang menyebabkan keluarga kurang tepat dalam menangani permasalahan tersebut adalah kurangnya informasi tentang diagnosa gangguan jiwa sehingga mereka melakukan tindakan yang bisa jadi membuat penderita semakin parah. Sistem pakar yang dirancang penulis di sini bertujuan untuk menghasilkan sistem pakar yang dapat digunakan oleh masyarakat secara umum. Sistem yang dibuat sedemikian rupa sehingga dapat digunakan secara mudah untuk memberikan pengetahuan kepada masyarakat tentang gangguan jiwa dan cara menanganinya. Dengan adanya sistem pakar ini, keluarga bahkan masyarakat di sekitarnya dapat melakukan tindakan yang tepat jika ada penderita gangguan jiwa di sekitarnya. Sistem pakar juru pemantau jiwa ini menggunakan metode yang cukup populer yaitu forward Chaining yang diimplementasikan ke dalam bentuk program aplikasi berbasis web. Aplikasi dibuat menggunakan bahasa pemograman PHP kemudian dilakukan pengujian berdasarkan dengan metode Black Box.   Kata Kunci: Sistem pakar, gangguan jiwa, Forward Chaining.

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 Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Rusdiansyah Rusdiansyah ◽  
Santoso Setiawan ◽  
Mohammad Badrul
Keyword(s):  
Diabetes Mellitus ◽  
Information Technology ◽  
Expert System ◽  
Health Sector ◽  
Final Conclusion ◽  
Web Based ◽  
Forward Chaining ◽  
Diabetes Mellitus Diagnosis ◽  
Artificial Intelligence Technology

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.

APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA PENGGUNA NARKOBA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB PADA BADAN NARKOSTIKA NASIONAL PROVINSI SUMATERA BARAT

2017 ◽  
Vol 2 (2) ◽  
pp. 001
Author(s):  
Rifa Turaina ◽  
Nelfira Nelfira ◽  
Rahmat Saputra
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Drug User ◽  
Prevention And Control ◽  
Technological Development ◽  
Certainty Factor ◽  
Web Based ◽  
Forward Chaining ◽  
To Come ◽  
And Control

When seeking a consultation to diagnose drugs and find out the solutions of prevention and control over drugs, users need time, money and energy to come and consult a doctor or rehabilitation officer at the National Narcotics Board of West Sumatera Province. Expert System to diagnose this drug user using Forward Chaining Method in selecting symptoms - symptoms that appear on the drug user and using the Certainty Factor Method to determine the amount of confidence or expert beliefs against the diagnosis results. Expert System is one of the implementation of technological development that can solve a problem like a human being. This system has the ability to diagnose the types of drugs used along with prevention and how to overcome them. Expert System is designed web-based using the programming language PHP (Hypertext Preprocessor) and MySQL databases, as well as internet connected that can facilitate people to diagnose the type of drugs and know the prevention and prevention of drug use.

Expert System to Diagnose the Level of Learning Stress in High School Students Using the Forward Chaining Method

2021 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Cut Rizki Putri Amalia
Keyword(s):  
High School ◽  
High School Students ◽  
Expert System ◽  
Stress Level ◽  
System Development ◽  
School Students ◽  
Web Based ◽  
Forward Chaining ◽  
System Maintenance ◽  
Learning Stress

The research objective is to design an expert system to diagnose the stress level of learning in high school students using the web-based Forward Chaining method. It is hoped that it can be used as an initial alternative to determine the level of stress experienced by students in learning. The research method fully uses a system development model consisting of the need for stages, making prototypes, evaluation stages, and system maintenance. The results of this study succeeded in making an expert system design to diagnose the stress level of learning in high school students using the Forward Chaining method and analyzing the results of the IF THEN ELSE calculations using Forward Chaining.

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