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International Journal Artificial Intelligent and Informatics
Published by Research and Social Study Institute
ISSN : -     EISSN : 2622626X     DOI : https://doi.org/10.33292
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
International Journal of Artificial Intelligence and Informatics is a scientific journal dedicated to the exploration of theories, methods, and applications of artificial intelligence in time series analysis, forecasting, and prediction. This journal serves as a platform for researchers, academics, and practitioners to publish their work on predictive models applied to various time-dependent phenomena. Topics within the journal’s scope include, but are not limited to: 1. Predictive Methodologies and Models Deep learning models for forecasting (LSTM, GRU, Transformer, etc.) Machine learning algorithms for time series forecasting (ARIMA, SARIMA, XGBoost, etc.) Optimization of forecasting models using metaheuristic approaches (PSO, GA, etc.) Hybrid models for improving prediction accuracy Statistical methods and Bayesian approaches in forecasting 2. Applications of Time Series and Forecasting Across Various Fields Financial and stock market prediction Weather forecasting and climate change analysis Energy demand forecasting and resource management Time series analysis in healthcare and epidemiology Forecasting in manufacturing and supply chain management User behavior prediction in e-commerce and social media 3. Data and Infrastructure for Forecasting Big data management in time series analysis Streaming data and real-time forecasting Explainable AI (XAI) in predictive models Data augmentation and synthetic data for forecasting The journal welcomes research articles, review papers, and case studies that provide significant contributions to the development of theories and implementation of predictive systems based on artificial intelligence.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol 1, No 2 (2018)" : 5 Documents clear
Expert system for diagnosing diphtheria with k-nearest neighbor method Fatoni, Chavid Syukri; Utami, Ema; Wibowo, Ferry Wahyu
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.82 KB) | DOI: 10.33292/ijarlit.v1i1.4

Abstract

The Diphtheria cases have special concern by the Indonesian government and are recorded as an extraordinary case (KLB) in 2017. Diphtheria is an infectious disease and cause complications of dangerous and deadly diseases if have not any treated immediately. Along this time, the communities often underestimate the common symptoms of diseases, such as throat pain, flu, and fever. The similarity of Diphtheria symptoms with common diseases and complications such as myocarditis, obstruction on breath, Acute Kidney Injury (AKI), making Diphtheria are rather difficult to treat due to the infections spread quickly. Some complications of diphtheria can cause a death if have not treated immediately and there must be any identification early for diphtheria. Then, an expert system is needed to help the community and the government in diagnosing the diphtheria. An expert system is an information system containing knowledge from experts in order provide information to be used for consultation. The knowledge from experts in this particular system is used as a basis by the Expert System to answer the questions (consultation). The study used the K-Nearest Neighbor (KNN) method, which the method calculates the similarity value of Diphtheria disease symptom. As the result, it can provide an initial diagnosis for Diphtheria before complications occur. The output of this study is the diagnosis of diphtheria based on the symptoms with the accuracy results of 93.056%, as well as providing an initial diagnosis in order to have immediately treating the diphtheria. 
Development of puzzle game as media for learning and profession interest Rianto, Rianto; Setiawan, Retno Agus
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.444 KB) | DOI: 10.33292/ijarlit.v1i2.19

Abstract

Multimedia is one of means or media, component in multimedia can be images, text, video or sound. Multimedia can be used as a communication tool or convey of information to others. In this puzzle game, multimedia is used as a learning media to introduce the profession and know the professional interest for users. In addition, in this game there are elements of education, counseling and information about the importance of education. In this game, more devoted to 9th grade junior high school students. The value contained in this puzzle game is trying to direct students to continue their education to the highest level by presenting materials that are expected to give students an idea of the world of education, job opportunities junior, senior high school and university graduates
Sentiments analysis for prediction the governor of east java 2018 in twitter Buntoro, Ghulam Asrofi
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.297 KB) | DOI: 10.33292/ijarlit.v1i2.20

Abstract

The East Java Governor Election which will be held in 2018 is also felt in the virtual world especially Twitter social media. All people freely argue about their respective governor candidates, the memorandum raises many opinions, not only positive or neutral but also negative opinions. Media growth is so rapid, revealing a lot of online media from the news media to social media. Social media alone is Facebook, Twitter, Path, Instagram, Google+, Tumblr, Linkedin and many more. Today's social media is not only used as a means of friendship or making friends, but also for other activities. Promos of trading or buying and selling, until political party promos or campaigns of candidates for regents, governors, legislative candidates until presidential candidates. The research objective is to conduct a method of analyzing the sentiments of 2018 East Java Governor candidates on Twitter social media with optimal and maximum optimization. While the benefits are to help the community conduct research on opinions on twitter which contains positive, neutral or negative sentiments. Analysis of the sentiments of East Java Governor candidates in 2018 on twitter social media using non-conventional processes that save costs, time and effort. The results of Khofifah's dataset are 77% accuracy, 79.2% precision value, 77% recall value, 98.6% TP rate and 22.2% TN rate. For the results of Gus dataset, the accuracy is 76%, the precision value is 74.4%, the recall value is 76%, the TP rate is 93.8% and the TN rate is 52.9%.
Naive bayes algorithm performance for smartphone sentiment analysis in social media Sarifah, Monalisa Fatmawati
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.02 KB) | DOI: 10.33292/ijarlit.v1i2.23

Abstract

Indonesia with a population of 250 million is a large market, Millennials tend to be more adaptive to the development of communication technology [1]. There are lot of opportunities that are used by various groups, one of which is the need to use smartphones that can make it easier for people to exchange information [2].  The shift in sales of smartphone brands in Indonesia is influenced by  massive advertising carried out by smartphone vendors (smartphone capitalists) to consumers [3]. The enthusiasm of the community in welcoming this platform is so great, lot of comment about smartphone brand stated by public is an interesting thing to be processed to be information. Utilization of that information requires analytical techniques so that the produced information can help many parties. The method used in this study is Naïve Bayes classification method which is a learning technique for data mining algorithms that uses probability and statistical methods [4]. This method is used to classify comments given by the community to smartphone brands. The comments given in this application will later be classified into positive, negative, and neutral comments. The purpose of this study was to find out how much positive, negative and neutral comments the community gave to smartphone brands, so that later it would facilitate the smartphone brand in providing policies or development in the future.
A review of detection plagiarism in indonesian language Widaningrum, Ida; Mustikasari, Dyah; Arifin, Rizal; Sugianti, Sugianti
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.69 KB) | DOI: 10.33292/ijarlit.v1i2.27

Abstract

Plagiarism is the act of copying the work of another person in the form of writing, ideas, creative ideas or other without including the source of the work or idea. This action is of course very disrespectful, violates the code of ethics and is opposed by all parties, both by scientists and the government. This happens because the use of the internet provides unlimited information services. Many studies have been carried out, raising the theme of this plagiarism. This article will review how far the plagiarism research has been done on Indonesian writing. By knowing the development of plagiarism research, further research will have better sustainability.

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