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All Journal TEKNIK INFORMATIKA JURNAL INSTEK (Informatika Sains dan Teknologi) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Ilmiah Sinus SENSITEK Respati Journal of Computer System and Informatics (JoSYC) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Teknimedia: Teknologi Informasi dan Multimedia International Journal Artificial Intelligent and Informatics Jurnal Permata Indonesia Jurnal Rekayasa elektrika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ferry Wahyu Wibowo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health

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Journal : International Journal Artificial Intelligent and Informatics

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Calculating vehicle intensiveness increase on eid al-fitr day with anfis method Pratama, Rendy Bagus; Utami, Ema; Wibowo, Ferry Wahyu
International Journal Artificial Intelligent and Informatics Vol 1, No 1 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.592 KB) | DOI: 10.33292/ijarlit.v1i1.10

Abstract

the number of motorized vehicles increases every year, especially private vehicles and is not offset by inadequate access until the road becomes more crowded, even traffic jams occur, especially during public holidays and national holidays. for example, during eid holidays there is a density of traffic flow when going back and forth every year, with the development of current technology the density of traffic flows that occur can be calculated so that it will be easier to anticipate in the future. but in this study only will examine the parameter values that cause the vehicle to occur density and accumulation, because it can be developed with parameter values so that the results can be obtained efficiently in solving traffic density. From the results of the anfis method, efficiency is obtained, namely on h-1 and h days of 2014, and 2017 can use Parameters with magins of 6,3% and 4,32%, while 2015 and 2016 can use parameters with margins 1,79% and 0,79%. and for the h + 1 day of 2014, 2016, and 2017, it is more efficient to use parameters with margins 1,4% and only parameters in 2015 which have the efficiency value using parameters with margin -6,17. anfis application in this calculation can be developed in a prediction system.
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. 
Co-Authors Akhyari, Muhammad Wafa Aldy A Kulakat Ali Asgar Zainal Abidin Andi Sunyoto Arief Setyanto Arif Fajar Solikin Azis Wahyudi Bayu Setiaji Chavid Syukri Fatoni Darno - Ema Utami Fatoni, Chavid Syukri KUSRINI Kusrini - Kusrini Kusrini Kusrini Kusrini Kusrini, Kusrini Mohammad Diqi Prastowo, Wahit Desta Pratama, Rendy Bagus Rachmawati Oktaria Mardiyanto Sari, Yunita Sartika Solikin, Arif Fajar Suyoto, Andi Widhiarta, Widhiarta Wihayati, Wihayati