https://talenta.usu.ac.id/jormtt <p class="western" lang="en-US" align="justify">Journal of Research in Mathematics Trends and Technology (JoRMTT) is an international journal, open access which provides advance forum and focused to study in every aspect of pure mathematics and its application. Besides, JoRMTT also publishes real time articles survey, recently trends, new theoretical techniques, new ideas, and mathematical tools in whole branches of mathematics. One of the purpose is to reflect research progress in Indonesia and by providing international forum, to stimulate future progress.</p> <p class="western" lang="en-US" align="justify">Every paper will be published by TALENTA Publisher under management of Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Sumatera Utara. The frequency of the publishing are twice in a year which are on <strong>March</strong> and <strong>September</strong>.</p> <p class="western" lang="en-US" align="justify"><a title="SINTA 4" href="https://sinta3.kemdikbud.go.id/journals/profile/8414" target="_blank" rel="noopener"><img src="https://talenta.usu.ac.id/public/site/images/indra/sinta-4.jpg" alt="" width="190" height="55" /></a></p> en-US <p><a name="coptf"></a>Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Journal of Research in Mathematics Trends and Technology (JoRMTT) and Faculty of Mathematics and Natural Sciences as well as TALENTA Publisher Universitas Sumatera Utara as publisher of the journal.</p> <p>Authors still retain the rights to use and share the published articles without written permission from JoRMTT, as long as they follow the <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="noopener">Creative Commons Licensing Terms</a> as set forth by Creative Commons. Authors responsible to obtain the license or related copyright issues in their works. JoRMTT shall be released of any liabilities should any problems arise due to authors errors in this matter.</p> <p>Authors permit JoRMTT to publish and provide the manuscripts in all forms and media for the purpose of publication and dissemination.</p> <p>JoRMTT will follow <a href="https://publicationethics.org/core-practices">COPE’s Code of Conduct and Best Practice Guidelines for Journal Editors</a> to protect the research results and takes allegations of any infringements, plagiarisms, ethical issues, and frauds should those issues arise. The manuscript is attributed as authors' work, and are properly identified.</p> <p>The Copyright Transfer Form can be downloaded <a href="https://drive.google.com/open?id=1UYjTGd1wzrEZPYM0PJdoFwnctZgyNAYi" target="_blank" rel="noopener">here</a>.<br />The copyright form should be signed originally and sent to <a href="https://talenta.usu.ac.id/jormtt/about/contact">the Editorial Office</a> in the form of original mail or scanned document.</p> <p>Users are free to:</p> <ol> <li class="show">Share (copy and redistribute the material in any medium or format)</li> <li class="show">Adapt (remix, transform, and build upon the material)</li> </ol> <p>under the following terms:</p> <ol> <li class="show">Attribution (must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use)</li> <li class="show">NonCommercial (may not use the material for commercial purposes)</li> <li class="show">ShareAlike (If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original)</li> <li class="show">No additional restrictions (You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits)</li> </ol> <p><strong>Notices:</strong><br />You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.<br />No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.</p> jormtt@usu.ac.id (Elvina Herawati) jormtt@usu.ac.id (Elly Rosmaini) Wed, 01 Mar 2023 00:00:00 +0700 OJS 3.2.0.2 http://blogs.law.harvard.edu/tech/rss 60 https://talenta.usu.ac.id/jormtt/article/view/15864 <p>This study addresses the challenge of sentiment analysis within the Information Technology study program at Universitas Timor, aiming to compare the performance of Support Vector Machines (SVM) and Naive Bayes (NB) through 100 iterations. The dataset, comprising 21 instances of negative sentiment and 18 instances of positive sentiment, is analyzed using both methods, with accuracy and Area Under the ROC Curve (AUC) serving as key metrics. The sample size consists of 39 instances, and the results indicate significant variability in both accuracy and AUC, emphasizing the sensitivity of the models to dataset characteristics and random initialization. On average, SVM outperforms NB, with an accuracy of 0.5846 compared to 0.5075 and an AUC of 0.5916 compared to 0.4607.</p> Debora Chrisinta, Justin Eduardo Simarmata Copyright (c) 2023 Journal of Research in Mathematics Trends and Technology https://creativecommons.org/licenses/by-sa/4.0 https://talenta.usu.ac.id/jormtt/article/view/15864 Thu, 30 Mar 2023 00:00:00 +0700