scholarly journals DIAGNOSA PENYAKIT PADA KAMBING DENGAN SISTEM PAKAR BERBASIS ANDROID

Respati ◽  
2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Muhammad Rizki Setyawan ◽  
Andika Agus Slameto
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Rural Areas ◽  
Search Technique ◽  
Early Disease ◽  
Forward Chaining ◽  
Very High

INTISARIPengetahuan yang kurang akan penyakit pada kambing ditengah masyarakat dalam upaya identifikasi awal penyakit mempengaruhi pengambilan keputusan secara mandiri. Ketergantungan terhadap pengetahuan seorang pakar atau dokter hewan sangatlah tinggi, tetapi keberadaannya tidak selalu ada dan sangat susah ditemui, terutama di daerah pedesaan. Ditambah dengan masalah biaya dan sangat tidak efisien dari segi waktu.Oleh karena itu dalam penelitian ini dirancang sebuah sistem pakar dengan metode forward chaining yang merupakan teknik pencarian dimulai dari fakta yang diketahui, kemudia mencocokkan fakta-fakta tersebut dengan bagian IF dari rule IF-THEN. Bila ada fakta yang cocok dengan bagian IF, maka rule tersebut dieksekusi sebagai penarik kesimpulan untuk mendiagnosa penyakit pada kambing.Aplikasi sistem pakar dibuat berbasis Android karena penggunanya yang banyak dan dapat mudah digunakan dimana saja dan kapan pun. Diharapkan aplikasi dapat memberikan solusi dan penanganan sementara pada ternak berupa panduan untuk mengantisipasi terjadinya kematian pada kambing sebelum ditanyakan langsung kepada seorang pakar untk penanganan lebih lanjut.Dengan adanya sistem pakar untuk diagnose penyakit pada kambing berbasis android ini maka memudahkan peternak dalam melakukan tindakan yang diperlukan secara tepat dalam menangani penyakit pada kambing.Kata kunci:  Android, penyakit, sistem pakar, forward chaining, kambing, android, mobile ABSTRACTLow knowledge of goat disease in the community in an attempt to identify early disease affects decision-making independently. Dependence on the knowledge of an expert or veterinarian is very high, but its existence is not always present and very difficult to find, especially in rural areas. Coupled with cost issues and very inefficient in terms of time.Therefore in the study designed an expert system with forward chaining method which is a search technique starting from known facts, then match those facts with the IF part of the IF-THEN rule. If there are facts that match the IF section, then the rule is executed as a conclusion to diagnose the disease in goats.Expert system applications are made based on Android because of its many users and can be easy to use anywhere and anytime. It is expected that the application can provide solutions and temporary handling of livestock in the form of a guide to anticipate the occurrence of death in goats before being asked directly to an expert for further handling.With the expert system for diagnosis of disease in goats android-based this makes it easier for farmers in performing the necessary actions appropriately in dealing with disease in goats.Keywords : android, disease, expert system, forward chaining,  goat, android, mobile.

scholarly journals Penalaran Berbasis Aturan Untuk Diagnosa Awal Penyakit Anjing Menggunakan Teorema Bayes

2018 ◽  
Vol 2 (2) ◽  
pp. 530-535 ◽  
Author(s):  
Sella Marselena ◽  
Ause Labellapansa ◽  
Abdul Syukur
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Rural Areas ◽  
Medical Personnel ◽  
Bayes Theorem ◽  
Search Method ◽  
Early Symptoms ◽  
Forward Chaining

Many pets can be played with, socialize and even live together with humans. Numbers of animal clinics have increased to provide care for pets. This study focuses on Dog as pet. Desease and improper treatment of dog will adversely affect the Dog. In dealing with the problem of Dog disease, Dog owners may experience difficulties due to limited number of clinics and veterinarians, especially in rural areas. As a solution, Artificial Intelligence is used by using expert systems that can help inexperienced medical personnel diagnose early symptoms of Dog disease. The search method used in this research is Forward Chaining and Bayes Theorem method to handle uncertainties that arised. Based on knowledge acquisition, 3 diseases were obtained with 38 simptoms and 60 cases. Based on the tests conducted then obtained the sensitivity value of 80%, the value of accuracy of 88.6% indicates that this expert system is able to diagnose dog diseasesKeywords: Dog, Expert System, Forward Chaining, Bayes Theorem.  

BRAINDEX: An Interactive, Knowledge-Based System Supporting Brain Death Diagnosis

1990 ◽  
Vol 29 (03) ◽  
pp. 193-199 ◽  
Author(s):  
G. Schwarz ◽  
R. Grims ◽  
E. Rumpl ◽  
G. Rom ◽  
G. Pfurtscheller ◽  
...  
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Natural Language ◽  
Brain Death ◽  
Knowledge Based System ◽  
Forward Chaining ◽  
Brain Death Diagnosis ◽  
Knowledge Based ◽  
Expert System Shell

AbstractBRAINDEX (Brain-Death Expert System) is an interactive, knowledge-based expert system offering support to physicians in decision making concerning brain death. The physician is given the possibility of communicating in almost natural language and, therefore, in terms with which he is familiar. This updated version of the system is implemented on an IBM-PC/AT with the expert system shell PC-PLUS and consists of about 430 rules. The determination of brain death is realized with backward chaining and for the optional coma-scaling a forward-chaining mechanism is used.

scholarly journals Expert System To Detect Human’s Skin Diseases Using Forward Chaining Method Based On Web Mobile

2018 ◽  
Vol 218 ◽  
pp. 02015
Author(s):  
Jenie Sundari ◽  
Hamimah ◽  
Popon Handayani ◽  
Yunita ◽  
Ibnu Dwi Lesmono ◽  
...  
Keyword(s):  
Immune System ◽  
Expert System ◽  
Skin Disease ◽  
Skin Diseases ◽  
Allergic Reactions ◽  
Tropical Country ◽  
Forward Chaining ◽  
Body Resistance ◽  
Sense Of Touch ◽  
Very High

Skin is a sense of touch in humans’ body which one of its functions is to feel the touch. Another function of the skin is to release the residual substances such as sweat. This part of the human body is very sensitive, easy to get hurt, and feels a sense of sensitivity. Human skin consists of epidermis and dermis. Skin diseases can be caused by a decrease in the immune system, allergies, viruses, or other causes. Skin disease is generally caused by a less guarded hygiene, bacteria, viral, allergic reactions, and low body resistance. If the cause of skin disease is only due to a lack of maintaining cleanliness, it can be prevented by changing lifestyles to be cleaner and healthier. Especially in Indonesia which is a tropical country, where the humidity is very high and can increase the development of bacteria on the skin. In another situation, not all people understand skin diseases for treatment or prevention. By the reason, The Forward Chaining Method is made to provide information about diagnoses of several skin diseases and produces conclusions. The existence of this expert system application makes it easy for people to get any information about skin diseases

scholarly journals APLIKASI UNTUK MENDIAGNOSA PENYAKIT KISTA OVARIUM MENGGUNAKAN METODE FORWARD CHAINING

2014 ◽  
Vol 11 (2) ◽  
pp. 61
Author(s):  
Dolly Indra
Keyword(s):  
Decision Making ◽  
Expert System ◽  
The Public ◽  
Forward Chaining

<p class="Isiabstract"><span class="hps">Expert System</span> <span class="hps">is designed to</span> <span class="hps">facilitate the public</span> <span class="hps">(</span>patients) <span class="hps">and the</span> <span class="hps">doctor</span> <span class="hps">or</span> <span class="hps">nurse</span> <span class="hps">in the decision</span> <span class="hps">to diagnose</span> <span class="hps">a cyst disease</span>. <span class="hps">And</span> <span class="hps">a</span> <span class="hps">patient</span> <span class="hps">can quickly</span> <span class="hps">and</span> <span class="hps">easily</span> <span class="hps">determine</span> <span class="hps">the type of</span> <span class="hps">illness</span> <span class="hps">suffered</span> <span class="hps">the cyst disease</span>, <span class="hps">as well</span> <span class="hps">as</span> <span class="hps">one of the alternatives</span> <span class="hps">in dealing with</span> <span class="hps">the type</span> <span class="hps">of disease</span> <span class="hps">and</span> <span class="hps">requires</span> <span class="hps">solutions</span> <span class="hps">to handle.</span> <span class="hps">The process of making</span> <span class="hps">these systems</span> <span class="hps">using</span> <span class="hps">Forward</span> <span class="hps">Chaining</span> <span class="hps">method</span> <span class="hps">for decision-making</span>. <span class="hps">Between</span> <span class="hps">system</span> <span class="hps">and user</span> <span class="hps"><span lang="EN-US">use</span></span><span class="hps">some</span> <span class="hps">questions</span> <span class="hps">in the form of</span> <span class="hps">a list</span> <span class="hps">of symptoms</span> <span class="hps">that have been</span> <span class="hps">there</span>. <span class="hps">The results</span> <span class="hps">of</span> <span class="hps">this system</span> <span class="hps">can facilitate</span> <span class="hps">in decision making</span> <span class="hps">doctor</span> <span class="hps">to diagnose</span> <span class="hps">the type of</span> <span class="hps">cyst</span> <span class="hps">disease</span> <span class="hps">suffered by</span> <span class="hps">the patient</span>, <span class="hps">causes</span>, <span class="hps">and</span> <span class="hps">treatment</span>. </p>

scholarly journals Sistem Pakar Diagnosa Kerusakan Mesin Sepeda Motor Transmission Automatic dengan Metode Forward Chaining Studi Kasus: AHASS 00955 Mitra Perdana

2019 ◽  
Vol 19 (3) ◽  
pp. 544
Author(s):  
Imron Imron ◽  
Miftah Nur Afidah ◽  
M Sinta Nurhayati ◽  
Sulistiyah Sulistiyah ◽  
Fatmawati Fatmawati
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Inference Method ◽  
Structured Decision Making ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Computer Based ◽  
Technology Users ◽  
Motorcycle Engine

Implementation of Expert System Diagnosis of motorcycle engine damage is a solution of motorcycle service at AHASS 00955 Mitra Perdana, Expert System is a system that is related to the knowledge possessed by experts and technology users to solve a problem. This article, discusses the design of decision-making applications that have an important role in the process of diagnosing motor engine damage. Because the system is currently running the user only hands over the motorcycle to the technician. The use of computer-based artificial intelligence can be a solution to problems in structured decision making. The design of this expert system is designed using the forward tracking inference method and is designed in the form of a website to facilitate users in using it.

scholarly journals Rule-Based Expert System for Assist Physician to Diagnosis of Malaria: XPerMal

2021 ◽  
pp. 35-43
Author(s):  
Humberto Cuteso Matumueni
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Health Professionals ◽  
Rural Areas ◽  
Medical Sciences ◽  
Medical Expert ◽  
Rule Based ◽  
Medical Expertise ◽  
Common Diseases ◽  
Reasoning Strategy

Nowadays, common diseases like malaria, typhoid and cholera become more dangerous problems for people living in this world. The objective is how it can avoid the queue of patients in hospital. In this article, the author has proposed a model of expert systems using the knowledge of physician and other health professionals. The rule based expert system XPerMal useful for patients infected with common diseases and this system will give an answer as similar to a doctor or medical expert and also this system is very useful in rural areas where we have young medical experts or have no medical expert. The reasoning strategy is a key element in many medical tasks. It is well known that developing countries face a shortage of medical expertise in the medical sciences. Patients also find a huge queue in hospitals. Because of this, they are unable to provide good medical services to their inhabitants. The knowledge is acquired from literature review and human experts in the specific field and is used as a basis for analysis, diagnosis and decision-making. Knowledge is represented by an integrated formalism that combines rules and facts.

scholarly journals Sistem Pakar Pemetaan Kelas Siswa LBB “abc” Menggunakan Metode Forward Chaining

2015 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Ainul Yaqin ◽  
Ema Utami
Keyword(s):  
Expert System ◽  
Fundamental Problem ◽  
Mapping Class ◽  
Percentage Error ◽  
Optimal Development ◽  
Forward Chaining ◽  
Existing Problems ◽  
Mapping System ◽  
The Right ◽  
Very High

LBB “abc” merupakan Lembaga Bimbingan Belajar (LBB) yang dimana dalam pelaksanaannya tidak hanya sekedar siswa mendaftar dan ikut bimbingan. LBB “abc” juga melakukan pemetaan siswanya atau juga mengarahkan siswanya untuk diikutsertakan di kelas yang ada di LBB “abc” sesuai dengan spesifikasi siswa itu sendiri. Namun dalam pelaksanaan ketergantungan terhadap pakar sangat tinggi, pakar yang dimaksudkan adalah orang yang mampu dan memiliki aturan-aturan untuk memetakan siswa tadi di kelas yang tepat agar perkembangan anak optimal dan bisa berprestasi.Permasalahan yang mendasar adalah di saat seorang pakar tersebut berhalangan hadir. Dari permasalahan yang ada terdapat beberapa solusi yang ada pada saat ini seorang pakar membuat catatan manual untuk diwakilkan kepada orang yang mampu mewakilkannya apabila seorang pakar tersebut berhalangan hadir di tempat, ataupun juga data siswa dikirim ke pakar melalui email dan hasilnya dikirimkan kembali.Penerapan aplikasi sistem pakar ke dalam sistem pemetaan mampu memberikan solusi yang membantu untuk pemetaan siswa di LBB “abc”. Tingkat keakuratan sistem pakar di penelitian ini dalam memetakan adalah 96,67% dan persentase kesalahan sebesar 3,33%, diharapkan dapat membantu stack holder dalam sistem tersebut untuk membantu dalam membuat keputusan sehingga dapat memberikan saran kepada orang tua siswa untuk pengoptimalisasian anaknya agar bisa berprestasi.Tutoring agency "abc" is a tutoring agency which in practice is not just students enroll and participate guidance. Tutoring agency "abc" also perform mapping class students also directs the students to be included in the class in which there is at tutoring agency "abc" in accordance with the specifications of the students. However, at the implementation is very high dependence on experts, experts who are capable of intended and have rules to map the student was in the right class that optimal development of children and can be accomplished.The fundamental problem is when an expert is unable to attend. Of the existing problems, there are several existing solutions is an expert at making manual records to be represented by people who can become his deputy if an expert is unable to attend on-site, or the student data is also sent to the experts through email and the results are sent back. Application of expert system applications into the mapping class students system is able to provide solutions that help to tutoring agency "abc". The accuracy of the expert system in the mapping system is 96.67% and the percentage error is 3.33%, which is expected to help stack holder in the system to assist in making decisions in order to provide advice to parents for their children to be able to perform optimizing.

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.

Influencia de las condiciones de secado solar en la coloración de plantas medicinales

2019 ◽  
pp. 28-34
Author(s):  
Margarita Castillo-Téllez ◽  
Beatriz Castillo-Téllez ◽  
Juan Carlos Ovando-Sierra ◽  
Luz María Hernández-Cruz
Keyword(s):  
Medicinal Plants ◽  
Forced Convection ◽  
Rural Areas ◽  
Color Change ◽  
Drying Process ◽  
Scientific Medicine ◽  
Drying Time ◽  
Bacterial Proliferation ◽  
Wide Range ◽  
Very High

For millennia, humans have used hundreds of medicinal plants to treat diseases. Currently, many species with important characteristics are known to alleviate a wide range of health problems, mainly in rural areas, where the use of these resources is very high, even replacing scientific medicine almost completely. This paper presents the dehydration of medicinal plants that are grown in the State of Campeche through direct and indirect solar technologies in order to evaluate the influence of air flow and temperature on the color of the final product through the L* a* scale. b*, analyzing the activity of water and humidity during the drying process. The experimental results showed that the direct solar dryer with forced convection presents a little significant color change in a drying time of 400 min on average, guaranteeing the null bacterial proliferation and reaching a final humidity between 9 % and 11 %.

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