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International Journal of Artificial Intelligence Research

IJAIR
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Published by STMIK Dharma Wacana

ISSN : - EISSN : 25797298 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.

Arjuna Subject : -

Articles 334 Documents

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RETRACTED : Decision support system in Predicting the Best teacher with Multi Atribute Decesion Making Weighted Product (MADMWP) Method Solikhun Solikhun; Agus Perdana Windarto; Amri Amri
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : STMIK Dharma Wacana

Following a rigorous, carefully concerns and considered review of the article published in International Journal of Artificial Intelligence Research to article entitled “Decision support system in Predicting the Best teacher with Multi-Attribute Decision Making Weighted Product (MADMWP) Method” Vol 1, No 1, pp. 47-53, June 2017, DOI: https://doi.org/10.29099/ijair.v1i1.1This paper has been found to be in violation of the International Journal of Artificial Intelligence Research Publication principles and has been retracted.The article contained redundant material, the editor investigated and found that the paper published in JURASIK(Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol. 1, No. 1, pp. 56-63, 2016, http://ejurnal.tunasbangsa.ac.id/index.php/jurasik/article/view/9The document and its content have been removed from International Journal of Artificial Intelligence Research, and reasonable effort should be made to remove all references to this article.

Factors Analysis And Profit Achievement For Trading Company By Using Rough Set Method Muhammad Ardiansyah Sembiring; Zulfi Azhar
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : STMIK Dharma Wacana

This research has been done to analysis the financial raport fortrading company and it is intimately related to some factors which determine the profit of company. The result of this reseach is showed about New Knowledge and perform of the rule. In discussion, by followed data mining process and using Rough Set method. Rough Set is to analyzed the performance of the result. This reseach will be assist to the manager of company with draw the intactandobjective. Rough set method is also to difined the rule of discovery process and started the formation about Decision System, Equivalence Class, Discernibility Matrix, Discernibility Matrix Modulo D, Reduction and General Rules. Rough set method is efective model about the performing analysis in the company. Keywords : Data Mining, General Rules, Profit,. Rough Set.

RETRACTED : Web Application To Monitor Logistics Distribution of Disaster Relief Using the CodeIgniter Framework Mohamad Jamil; Mohammad Ridwan Lessy
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : STMIK Dharma Wacana

Following a rigorous, carefully concerns and considered review of the article published in International Journal of Artificial Intelligence Research to article entitled “Web Application To Monitor Logistics Distribution of Disaster Relief Using the CodeIgniter Framework” Vol 1, No 2, pp. 54-61, December 2017, DOI: 10.29099/ijair.v1i2.23 This paper has been found to be in violation of the International Journal of Artificial Intelligence Research Publication principles and has been retracted.The article contained redundant material, the editor investigated and found that the paper published in IOP Conference Series: Materials Science and Engineering Volume 325 on International Conference on Information Technology and Digital Applications (ICITDA 2017), https://iopscience.iop.org/article/10.1088/1757-899X/325/1/012015/metaThe document and its content have been removed from International Journal of Artificial Intelligence Research, and reasonable effort should be made to remove all references to this article.

The Phenomenon of Research and Development Method in Research of Software Engineering Mufadhol Mufadhol; Siswanto Siswanto; Djarot Dian Susatyono; Maya Utami Dewi
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : STMIK Dharma Wacana

Progress of science and technology is very influential to development of software engineering. Communication between software developers and prospective users of software engineering by prototype system is very important in the development of software engineering. Research and Development method in research of software engineering is very suitable be used because supports the existence of such communications. But it is found there are several research that use this method with not perfect or not completed, so research results produced less fit with purpose. This paper will be explain how to used the stages must be carried out in research of software engineering with the method of research and development, in order to make the research more be effectively and efficiently as well as software development efforts that simultaneously accompanied by the validation effort for the results to be achieved in accordance with the expected goals.

Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant Muhammad Ruswandi Djalal; Muhammad Yunus Yunus; Herman Nawir; Andi Imran
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : STMIK Dharma Wacana

The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition

Design of the expert system to analyze disease in Plant Teak using Forward Chaining Poningsih Poningsih
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : STMIK Dharma Wacana

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.

Mapping of MAC Address with Moving WiFi Scanner Arief Hidayat; Shintaro Terabe; Hideki Yaginuma
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : STMIK Dharma Wacana

Recently, Wifi is one of the most useful technologies that can be used for detecting and counting MAC Address. This paper described using of WiFi scanner which carried out seven times circulated the bus. The method used WiFi and GPS are to counting MAC address as raw data from the pedestrian smartphone, bus passenger or WiFi devices near from the bus as long as the bus going around the route. There are seven processes to make map WiFi data.

Decision Support System For Election Of Members Unit Patients Pamong Praja Febri Haswan
International Journal of Artificial Intelligence Research Vol 1, No 1 (2017): June 2017
Publisher : STMIK Dharma Wacana

Civil Service Police Unit (municipal police) is part of the area in the enforcement of legislation and arrangements for public order and public tranquility . Decision Support System or DSS ( Decision Support System ) is a computer -based information systems whose main goal is to help decision -making utilize data and models to solve the problems that are unstructured and semi- structured . In accepting prospective members of the previous municipal police PSDM section sorting and selecting applicants one by one entering the data so that the data obtained is not clear didapt results of each participant. By using Fuzzy Multiple Attribute Decision Making (FMADM) is used to find an alternative from a number of alternatives to optimize certain criteria , while the Simple Additive Weighting method (SAW). SAW method is often also known term weighted summation method . The basic concept is to find a method SAW weighted summation of the performance ratings of all the attributes of each alternative.

Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method Agus Perdana Windarto
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : STMIK Dharma Wacana

Indonesia is a country where most of its people rely on the agricultural sector as a livelihood. Indonesia's rice production is so high that it can not meet the needs of its population, consequently Indonesia still has to import rice from other food producing countries. One of the main causes is the enormous population. Statistics show that in the range of 230-237 million people, the staple food of all residents is rice so it is clear that the need for rice becomes very large. This study discusses the application of datamining on rice import by main country of origin using K-Means Clustering Method. Sources of data of this study were collected based on import import declaration documents produced by the Directorate General of Customs and Excise. In addition since 2015, import data also comes from PT. Pos Indonesia, records of other agencies at the border, and the results of cross-border maritime trade surveys. The data used in this study is the data of rice imports by country of origin from 2000-2015 consisting of 10 countries namely Vietnam, Thailand, China, India, Pakistan, United States, Taiwan, Singapore, Myanmar and Others. Variable used (1) total import of rice (net) and (2) import purchase value (CIF). The data will be processed by clustering rice imports by main country of origin in 3 clusters ie high imported cluster, medium imported cluster and low import level cluster. The clustering method used in this research is K-Means method. Cetroid data for high import level clusters 7429180 and 2735452,25, Cetroid data for medium import level clusters 1046359.5 and 337703.05 and Cetroid data for low import level clusters 185559.425 and 53089.225. The result is an assessment based on rice import index with 2 high imported cluster countries namely Vietnam and Thailand, 4 medium-level clusters of moderate import countries namely China, India, Pakistan and Lainya and 4 low imported cluster countries namely USA, Taiwan, Singapore and Myanmar. The results of the research can be used to determine the amount of rice imported by the main country of origin

Application to Determination of Scholarship Worthiness Using Simple Multi Attribute Rating Technique and Merkle Hellman Method Dicky Nofriansyah
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : STMIK Dharma Wacana

This research was focused on explaining how the concept of simple multi attribute rating technique method in a decision support system based on desktop programming to solve multi-criteria selection problem, especially Scholarship. The Merkle Hellman method is used for securing the results of choices made by the Smart process. The determination of PPA and BBP-PPA scholarship recipients on STMIK Triguna Dharma becomes a problem because it takes a long time in determining the decision. By adopting the SMART method, the application can make decisions quickly and precisely. The expected result of this research is the application can facilitate in overcoming the problems that occur concerning the determination of PPA and BBP-PPA scholarship recipients as well as assisting Student Affairs STMIK Triguna Dharma in making decisions quickly and accurately

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Home Page

OAI Link

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Abstract

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Contact Name
Heri Nurdiyanto

Contact Email
Heri Nurdiyanto

Phone
-

Journal Mail Official
internationaljournalair@gmail.com

Editorial Address
-

Location
Kota metro,

Lampung

INDONESIA