scholarly journals Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Identifikasi Penyakit pada Gigi dengan Menggunakan Metode Forward Chaining

2021 ◽  
Vol 5 (4) ◽  
pp. 459
Author(s):  
Johan Limantono ◽  
Rinabi Tanamal
Keyword(s):  
Expert System ◽  
Dental Health ◽  
The Body ◽  
Test Results ◽  
Digestive Process ◽  
The Public ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Dental Diseases ◽  
Food Conditions

Teeth are an important part of the body in the digestive process. As a start of the digestive process, teeth receive various kinds of food conditions such as sweet, cold, hard foods, and so on. These food conditions affect dental health so that when teeth are not treated they become vulnerable to disease. Society in general does not pay attention to pain in the teeth. Though the pain in the teeth can be caused by diseases such as dental caries, tartar, and others. The solution of this research is manifested in the form of an expert system to diagnose dental diseases using the Android-based Forward Chaining method. The expert system application used by researchers is McGoo. The purpose of this expert system is to help the public get information and carry out a diagnosis of dental disease independently. Users only need to answer the questions displayed by the system to get the results of the diagnosis in the form of the type of illness and treatment solutions that can be done. The results of the system diagnosis have been tested and validated by experts namely dentists who are the source of information and data. Based on the accuracy of the system diagnostic test results are by the results of the expert diagnosis.

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

scholarly journals Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining

2021 ◽  
pp. 128-133
Author(s):  
Budi Permana Putra ◽  
Yuhandri Yunus ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Human Life ◽  
The Body ◽  
Eye Disease ◽  
Early Prevention ◽  
The Public ◽  
Forward Chaining ◽  
Eye Health ◽  
Eye Problems ◽  
Visual Disturbances

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.

scholarly journals SISTEM PAKAR DIAGNOSIS PENYAKIT HIPERTENSI DENGAN MENGUNAKAN METODE FORWARD CHAINING DAN TOERI PROBABILITAS

2021 ◽  
Vol 7 (1) ◽  
pp. 56-64
Author(s):  
Emma Rosinta Simarmata ◽  
Keyword(s):  
Probability Theory ◽  
Heart Disease ◽  
Expert System ◽  
Requirements Analysis ◽  
The Body ◽  
The Public ◽  
Forward Chaining ◽  
Input And Output ◽  
System Requirements

At this time hypertension is a disease that endangers the community a lot because people often ignore it because this disease does not quickly affect the body but will slowly damage health. Hypertension is not contagious but can trigger other diseases, such as stroke and heart disease. The habit of people who will check their health after experiencing problems causes delays in their help. Symptoms of hypertension can be detected early so that people can prevent the seriousness of the disease. The expert system is one of the fields of science that can help the public to check whether a person has hypertension and the type of hypertension and the percentage of possible diseases he suffers because the expert system can be designed how to work like an expert. The expert system designed uses several stages, namely (1) system requirements analysis, (2) input and output design, (3) coding and (4) testing. This expert system will be represented in the form of rules, the method of reasoning using the forward chaining method and probability theory in calculating the percentage of rules that are fulfilled. The form of output (results) from the expert system is in the form of diagnostic results based on the symptoms given and suggestions that are in accordance with the diagnosis used are forward chaining, namely drawing conclusions from several types of hypertension obtained from symptoms. The output of the system is the type of hypertension diagnosed and the solution for the diagnosis. Keyword : Sistem Pakar, Forward Chaining, Hipertensi, Diagnosa

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 Dental health of civil aviation flight personnel

2021 ◽  
Vol 25 (1) ◽  
pp. 17-22
Author(s):  
Andrey K. Iordanishvili
Keyword(s):  
Temporomandibular Joint ◽  
Dental Health ◽  
Masticatory Muscles ◽  
Temporomandibular Joint Disorders ◽  
The Body ◽  
Civil Aviation ◽  
Study Group ◽  
Flight Duration ◽  
Dental Diseases ◽  
Masticatory Apparatus

BACKGROUND: Preservation and strengthening of the health of civil aviation flight personnel is an extremely urgent problem and is associated with ensuring flight safety. AIM: This study aimed to determine the structure and analyze the organs and tissues of the masticatory apparatus among civil aviation flight personnel. MATERIALS AND METHODS: To determine the incidence and intensity of main dental diseases and the morbidity structure of organs and tissues of the masticatory apparatus in civil aviation pilots, an in-depth examination was carried out in 120 men aged 2545 years (study group 1) working on various modern passenger and transport aircrafts. The duration of flight operations ranged from 2 to 17 years, with a total flight duration of 140 to 5580 h. The comparison group consisted of 146 men (aged 2545 years) of non-flying specialties (study group 2). The generally accepted methods for assessing the prevalence and intensity of the course of major dental diseases were used. RESULTS: The incidence and intensity of dental disorders, periodontal disease, temporomandibular joint disorders, and parafunctions of the masticatory muscles were defined. The incidence and intensity of major dental diseases among civil aviation flight personnel were clearly directly proportional to their flight time (r=0.547) and duration of work in civil aviation (r=0.482) but to a lesser extent to their age (r=0.416). CONCLUSIONS: Non-carious lesions of the teeth, inflammatory and dystrophic diseases of the periodontal and oral mucosa, painful dysfunction of the temporomandibular joint, and bruxism are more common among civil aviation flight personnel than among non-flying personnel, which is due to the unfavorable effect of air flight factors on organs and tissues of the mastication apparatus and the body of the pilots as a whole.

scholarly journals IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TULANG PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING

2019 ◽  
Vol 7 (1) ◽  
pp. 29-34
Author(s):  
Ferly Ardhy
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Bone Disease ◽  
Human Bone ◽  
Early Symptoms ◽  
The Public ◽  
Forward Chaining ◽  
Lack Of Knowledge

Bone disease is a condition that damages the skeleton and makes bones weak and vulnerable to fractures. The high disease is caused by ignorance and lack of knowledge about the disease. Therefore, an expert system was created to diagnose bone disease in humans. The method used in making this expert system is the forward chaining method, forward chaining method using the PHP programming language and MySQL database. The results of this study are the application of expert systems to diagnose human bone disease using a forward chaining method that can be accessed by the public at large to diagnose early symptoms of bone disease without limited distance and time used.

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 PENETAPAN KADAR KAFEIN PADA BUBUK TEH HITAM YANG BEREDAR DI PASAR DELI TUA MENGGUNAKAN SPEKTROFOTOMETRI UV

2020 ◽  
Vol 3 (1) ◽  
pp. 21-28
Author(s):  
DIAN IKA PERBINA MELIALA
Keyword(s):  
Side Effects ◽  
Sampling Method ◽  
Negative Impact ◽  
Black Tea ◽  
The Body ◽  
Test Results ◽  
Ultraviolet Spectrophotometry ◽  
The Public ◽  
Validation Test ◽  
The World

Tea is a drink that is very familiar in the world and is very common in everyday life. Tea is also the most consumed and favored beverage by the public after water. Besides being beneficial, tea also contains compounds that have a negative impact on the body, namely caffeine compounds. Caffeine is an alkaloid of the methylxanthine group which plays a role in increasing the work of psychomotor in the body, and side effects that can be caused are anxiety, irregular heartbeat, difficulty sleeping, tremors, diuresis and others. The purpose of this study was to determine the caffeine content in black tea powder circulating in the Old Deli market. This type of research is descriptive with a purposive sampling method. The analytical method used is qualitative with murexide and quantitative ultraviolet spectrophotometry with a wavelength of 267nm. The results of a qualitative analysis of all positive samples contained caffeine. The average quantitative yield of caffeine in brand A black tea powder was (4,82 ±0,0356)%, B brand black tea powder (4,89 ± 0,0173)% and C brand black tea powder (4,93 ± 0,0531)%. The validation test results obtained linearity r = 0,9984, LOD and LOQ is 0,8074 mcg/ml and 2,6914 mcg/ml ,% recovery = 100,07%, RSD = 0,33%. Based on the results of research conducted, it can be concluded that ultraviolet spectrophotometry can be used to determine caffeine levels in black tea powder.

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.

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