scholarly journals IMPLEMENTASI SISTEM PAKAR PENGENDALIAN INTERNAL PEMBERIAN KREDIT RUMAH MENGGUNAKAN METODE FORWARD CHAINING

JURTEKSI ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 349-356
Author(s):  
Tika Christy ◽  
Febby Madonna Yuma ◽  
Zulfan Efendi
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Accurate Information ◽  
Application System ◽  
Customer Needs ◽  
Forward Chaining ◽  
Bad Loans

Abstrak: Tujuan praktis dari kecerdasan buatan adalah membuat komputer lebih bermanfaat bagi manusia. Kecerdasan buatan dapat membantu manusia membuat keputusan, menemukan informasi yang lebih akurat atau membuat komputer lebih mudah digunakan dengan tampilan alami untuk membuatnya mudah dimengerti. Pada kenyataannya, sistem permohonan kredit bertujuan untuk memberikan kemudahan serta layanan yang tepat sesuai kebutuhan nasabah, dan juga memberikan suatu pedoman serta syarat-syarat dalam permohonan kredit dengan jelas agar nasabah mengerti bagaimana prosedur dalam mengajukan permohonan kredit. Adapun resiko yang dihadapi dari Bank SUMUT seperti tunggakan kredit atau kredit macet. Oleh karena itu, dibutuhkanlah kecermatan pihak internal bank dalam melakukan analisa. Ini bertujuan untuk mempelajari Sistem Pakar dengan metode Forward Chaining dan masalah untuk mengetahui apakah tindakan yang akan diambil oleh pihak internal dalam memproses pemberian kredit rumah sesuai aturannya. Kata kunci: kredit; runut maju; sistem pakar  Abstract: The practical goal of artificial intelligence is to make computers more useful to humans. Artificial intelligence can help humans make decisions, find more accurate information or make computers easier to use with natural displays to make them easy to understand. The credit application system aims to provide convenience and appropriate services according to customer needs, and also provides clear guidelines and conditions for credit applications so that customers understand the procedure for applying for credit. The risks faced by Bank SUMUT such as credit arrears or bad loans. Therefore, it takes the accuracy of the bank's internal parties in conducting the analysis. This aims to study the Expert System with the Forward Chaining method and the problem to find out whether the actions that will be taken by internal parties in processing home loans are following the rules. Keywords: credit; 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 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.  

scholarly journals Expert System To Identify Insomnia Problems In Adults Using Forward Chaining Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ayu Dwi Ratna Ningsih ◽  
Ade Eviyanti
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Data Collection ◽  
Quantitative Data ◽  
Research Method ◽  
Forward Chaining ◽  
System A ◽  
The World ◽  
Waking Up ◽  
Data Collection Technique

Insomnia is a symptom that is often experienced by adults of productive age, such as having difficulty starting to sleep, often waking up at night. With the development of technology, most of the jobs have involved technology. Expert systems are artificial intelligence that is growing rapidly in the world of technology. With an expert system, a person can be helped according to their needs when it is difficult to meet directly with the expert. The purpose of this study was to make it easier for researchers to identify insomnia problems based on the symptoms experienced by the adults around them. The research method used is the forward chaining method. while the data collection technique is quantitative data technique. The desired result of this study is the reduction of a person affected by insomnia problems and the Expert System can provide solutions to reduce Insomnia Problems such as relaxation music before consulting a doctor.

scholarly journals Implementasi Dempster Shafer Dalam Diagnosa Penyakit Impetigo Pada Balita

2020 ◽  
Vol 4 (3) ◽  
pp. 700
Author(s):  
Asyahri Hadi Nasyuha ◽  
Moch Iswan Perangin Angin ◽  
Marsono Marsono Marsono
Keyword(s):  
Expert System ◽  
Mathematical Theory ◽  
System Analysis ◽  
Belief Function ◽  
Accurate Information ◽  
Application System ◽  
Plausible Reasoning ◽  
System Program

The diagnosis of impetigo by using an expert system that uses the source of expertise aims to obtain accurate information in accordance with the symptoms suffered by the patient, this expert system analysis uses the dempster shafer method with mathematical theory for proof based on belief function and plausible reasoning it makes sense to combine separate pieces of information (evidence) to calculate the likelihood of an event that can produce information from experts about the symptoms and solutions of impetigo symptoms accurately and build an expert application system program that is able to diagnose early impetigo in infants and provide solutions and information quickly

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 PENGGUNAAN METODE FORWARD CHAINING PADA APLIKASI DETEKSI PENDINGIN REAKTOR SERBA GUNA/PRSG-BATAN

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Dandhy Perdana Syafrizal ◽  
A.Hanifa Setyaningrum ◽  
Khodijah Hulliyah
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Expert System ◽  
Knowledge Representation ◽  
System Development ◽  
Depth First Search ◽  
Forward Chaining ◽  
Development Life Cycle

Reaktor  Serba  Guna  G.A.  Siwabessy  terletak  di  kawasan  Pusat  Penelitian  Ilmu  Pengetahuan  dan Teknologi  (PUSPIPTEK)  Serpong, merupakan  reaktor  riset  yang  dimiliki  oleh Badan  Tenaga Nuklir Nasional (BATAN).  Reaktor  penelitian  ini  berdaya  30  MW  thermal  dengan  fluks  neutron  thermal  sebesar  2  x  1014 n/cm2/detik,  memiliki  beberapa  fasilitas  yang  dapat  digunakan  untuk  melakukan  penelitian  bidang  ilmu pengetahuan  dan  teknologi  nuklir,  juga  melayani  kegiatan  iradiasi  seperti  pengujian  material  dan  produksi radioisotop. Operasi  reaktor  sudah  berlangsung  sejak  diresmikannya  pada  tahun  1987  yang  sudah  tentu  sistem atau peralatan kinerjanya seperti sistem pompa pendingin reaktor sudah menurun yang berdampak  terganggunya operasi reaktor, sehingga harus dicari solusi untuk memudahkan penelusuran gangguan tersebut. Sistem Aplikasi Deteksi gangguan pompa pendingin reaktor sehingga mempermudah dan mempercepat deteksi terhadap gangguan pompa pendingin reaktor. Metode pengembangan sistem yang digunakan yaitu Expert System Development Life Cycle  (ESDLC). Metode Foward Chaining digunakan  sebagai  teknik penalaran dari Knowledge Representation Pakar, dan teknik penulusuran Depth First Search  dalam penyusunan algoritmanya. Kata Kunci : Artificial Intelligence, Expert System, Forward Chaining, DFS

scholarly journals Sistem Pakar Diagnosa Kerusakan Playstation2 Berbasis Web Dengan Metode Forward Chaining

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ludfi Sanjaya ◽  
Belsana Butar Butar
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Video Games ◽  
Expert Systems ◽  
Major Influence ◽  
Damage Diagnosis ◽  
Web Based ◽  
Hard Drive ◽  
Forward Chaining ◽  
Technological Advances

Abstract - Playstation2 is the best console of all time and has a major influence on the development of video games. So from that playstation2 until now still in demand in the community in all the game lovers. Basically the problem of damage to playstation2 is the most common case found in playstation2 and private rental employers who have playstation2. This damage requires fast and correct handling, as it can be quite detrimental to playstation2 rental entrepreneurs. Current technological advances to facilitate the work of man, because nowadays we can create an artificial intelligence that one of them called expert systems. For the development of expert systems requires hardware (hardware) such as a monitor, a processor, a minimum of 214 GB hard drive, 320 GB of memory, mouse and keyboard. Perangkat (software) consists Adove CS8 Dreamweaver, MySQL, XAMPP, Browser such as Mozilla. This application was designed with a web and an attractive appearance that can be used online for consultation. The results of this research is the application of playstation2 damage diagnosis expert system based on the indication symptoms of playstation2 problems. Keyword: Expert System, Forward Chaining, Playstation2 Diagnose, Web Based

scholarly journals SISTEM PAKAR PENENTUAN JENIS PLANKTONIC FORAMINIFERA BERBASIS WEB DENGAN METODE FORWARD CHAINING

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Daniel Alexander Octavianus Turang
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Expert System ◽  
Planktonic Foraminifera ◽  
Identification Process ◽  
Relative Age ◽  
Forward Chaining ◽  
User Data ◽  
Computer Based ◽  
Age Range

[Id]Mikropaleontologi merupakan salah satu cabang dari ilmu paleontologi yang mempelajari mikrofosil. Salah satu pengetahuan yang terdapat pada ilmu mikropaleontologi adalah planktonic foraminifera (fosil plankton). Metode yang digunakan dalam penelitian ini adalah metode Forward Chaining. Sistem yang akan dibangun merupakan suatu sistem informasi yang berbasis komputer dengan memanfaatkan teknologi kecerdasan buatan (artificial intelligence) yang berfungsi sebagai sistem alat bantu atau pemberi rekomendasi dari proses identifikasi planktonic foraminifera kepada user. Data rekomendasi yang dihasilkan oleh sistem ini dilengkapi dengan nama spesies planktonic foraminifera, nama genus,? gambar planktonic foraminifera, beserta sifat-sifat fisik dari planktonic tersebut sehingga user dapat mengetahui spesies planktonic foraminifera apa yang ditemukan. Sistem akan menganalisa jawaban dari setiap pertanyaan yang diberikan, sehingga diperoleh hasil dari identifikasi berdasarkan basis pengetahuan yang ada dalam sistem pakar ini. Tugas dari user hanya memasukkan planktonic foraminifera apa saja yang terdapat pada batuan tersebut. Dan setelah itu, sistem akan menghitung range umur relatif berdasarkan range umur dari setiap planktonic foraminifera yang telah dimasukkan.[En]Micropaleontology is one of the branches of the science of paleontology which studies Microfossils. One of the knowledge contained on the planktonic foraminifera is micropaleontology science (fossils of plankton). The methods used in this research is a method of Forward Chaining. The system to be built is a computer-based information system by utilizing the technology of artificial intelligence that serves as the system tools or giver recommendations of the identification process planktonic foraminifera to the user. Data recommendations generated by the system is equipped with a planktonic foraminifera species name, genus name, images of planktonic foraminifera, along with the physical properties of the planktonic so the user can identify the species of planktonic foraminifera what was found. The system will analyze your answers to each question are given, so that the obtained results from identification based on the existing knowledge base in expert system. The task of the user only put in planktonic foraminifera anything contained on these rocks. And after that, the system will calculate the relative age range upon range of planktonic foraminifera of any age that have been entered.

scholarly journals Sistem Pakar untuk Mendiagnosa Gangguan pada Sistem Hepatobiliaris Berbasis Android Mobile

2018 ◽  
Vol 3 (1) ◽  
pp. 98
Author(s):  
Redo Abeputra Sihombing
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Working Hours ◽  
Health Problems ◽  
Search Method ◽  
Forward Chaining ◽  
Best First Search ◽  
Client Side ◽  
Selection Of ◽  
The Way

Disturbances in the Hepatobiliaris system are health problems that are often encountered, even growing, so to know the diagnosis will be difficult. A better way is to consult an expert or an expert doctor. But there are also weaknesses such as working hours or limited experts. Expert system is one branch of artificial intelligence that learns how to adopt the way an expert thinks in solving a problem and make decisions and conclusions. The problem discussed is how to design a system that can be used to solve the above problems. The purpose and objective of the author in making this expert sisem is to assist the prospective physician in diagnosing disorders of the Hepatobiliaris system like an expert. Expert system using Best First Search method and using Forward Chaining technique. In this system poured knowledge of an expert in the can during research at Permata Ibu Hospital. An expert system developed based on Android on the client side, PHP and MySQL. This expert system displays a selection of symptoms that can be selected by the user, where each choice of symptoms that will lead the user to the next symptom option to get the conclusion.

scholarly journals Design of the expert system to analyze disease in Plant Teak using Forward Chaining

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Poningsih Poningsih
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Economic Value ◽  
Disease Diagnosis ◽  
High Quality ◽  
Web Based ◽  
Community Forests ◽  
Forward Chaining ◽  
Teak Wood

Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.

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