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All Journal Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal INFOTEL
Ikrimach Ikrimach
Universitas Teknologi Yogyakarta
Computer Science & IT Electrical & Electronics Engineering

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Accuracy Analysis of K-Nearest Neighbor and Naïve Bayes Algorithm in the Diagnosis of Breast Cancer Irma Handayani; Ikrimach Ikrimach
JURNAL INFOTEL Vol 12 No 4 (2020): November 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i4.547

Abstract

In the medical field, there are many records of disease sufferers, one of which is data on breast cancer. An extraction process to fine information in previously unknown data is known as data mining. Data mining uses pattern recognition techniques such as statistics and mathematics to find patterns from old data or cases. One of the main roles of data mining is classification. In the classification dataset, there is one objective attribute or it can be called the label attribute. This attribute will be searched from new data on the basis of other attributes in the past. The number of attributes can affect the performance of an algorithm. This results in if the classification process is inaccurate, the researcher needs to double-check at each previous stage to look for errors. The best algorithm for one data type is not necessarily good for another data type. For this reason, the K-Nearest Neighbor and Naïve Bayes algorithms will be used as a solution to this problem. The research method used was to prepare data from the breast cancer dataset, conduct training and test the data, then perform a comparative analysis. The research target is to produce the best algorithm in classifying breast cancer, so that patients with existing parameters can be predicted which ones are malignant and benign breast cancer. This pattern can be used as a diagnostic measure so that it can be detected earlier and is expected to reduce the mortality rate from breast cancer. By making comparisons, this method produces 95.79% for K-Nearest Neighbor and 93.39% for Naïve Bayes
MEDIA PEMBELAJARAN PENGENALAN HEWAN PURBA BERBASIS AUGMENTED REALITY Adil Sayidil Waro; Ikrimach Ikrimach
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1281

Abstract

Learning media that are often used using printed media such as books or magazines can make the images in them increasingly unclear. By utilizing augmented reality technology, researchers created learning media so that students can find out the origins and forms of ancient animals that can be seen in the images. details by combining the virtual world with the real world and it is hoped that it will make it easier for students to learn and recognize types of ancient animals. This augmented reality-based learning media application for recognizing ancient animals was built using Unity 3D and Vuforia tools. And the augmented reality-based animal learning recognition media application was tested using Blackbox with the results passing the system functional test.
APLIKASI PENGENALAN PLANET PADA TATA SURYA BERBASIS AUGEMENTED REALITY Indrawan Gustha Wisesha; Ikrimach Ikrimach
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1059

Abstract

The use of Information Technology (IT) in the process of conveying information about the world of education is experiencing rapid development. Currently, the newest technology used to convey information is Augmented Reality (AR) technology. In AR technology, users can visualize objects in 3 dimensions. AR has the advantage of being interactive and real time so that AR is widely implemented in various fields, especially in the field of education. In the world of education, AR is used as a medium to introduce the planets in the solar system. The aim of this report is to review the use of AR technology in introducing elementary school students to the planets in the Solar System. Based on the results of a review of several journals relevant to AR research, information was obtained that AR technology can be used as a medium to introduce planets in the solar system to elementary school students. In making AR applications, the methods used can use Marker Based Tracking and Markless AR methods.
Co-Authors Adil Sayidil Waro Indrawan Gustha Wisesha Irma Handayani