Jurnal Informatika Universitas Pamulang
http://openjournal.unpam.ac.id/index.php/informatika
<p><strong>Jurnal Informatika Universitas Pamulang</strong> is a periodical scientific journal that contains research results in the field of computer science and information systems from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments (state-of-the-art) research. </p> <p><strong>Jurnal Informatika Universitas Pamulang</strong> publishes papers regularly every 3 months, on March, June, September and December. <strong>Jurnal Informatika Universitas Pamulang</strong> is published by <strong>Fakultas Ilmu Komputer Universitas Pamulang</strong> and has been registered at BRIN with ISSN: <strong><a href="https://issn.brin.go.id/terbit/detail/1472178613" target="_blank" rel="noopener">2541-1004</a></strong> for print media and e-ISSN:<strong> <a href="https://issn.brin.go.id/terbit/detail/1531716948" target="_blank" rel="noopener">2622-4615</a></strong> for online media.</p> <p><strong>Jurnal Informatika Universitas Pamulang</strong> has implemented support for public object identification DOI (Digital Object Identifier) from Crossref, namely <a href="https://search.crossref.org/?q=2622-4615" target="_blank" rel="noopener"><strong>10.32493/informatika</strong></a>.</p>Teknik Informatika Universitas Pamulangen-USJurnal Informatika Universitas Pamulang2541-1004<p>Authors who publish with this journal agree to the following terms:</p><ol type="a"><li>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0" target="blank">Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li><li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li><li>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_new">The Effect of Open Access</a>).</li></ol><p><strong>Jurnal Informatika Universitas Pamulang</strong> have <a title="Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)" href="https://creativecommons.org/licenses/by-nc/4.0/">CC-BY-NC</a> or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.</p><p>In developing strategy and setting priorities, <strong>Jurnal Informatika Universitas Pamulang</strong> recognize that free access is better than priced access, libre access is better than free access, and libre under <a title="Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)" href="https://creativecommons.org/licenses/by-nc/4.0/">CC-BY-NC</a> or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.</p><p><a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank"><img style="width: 114px; height: 40px;" src="/public/site/images/aries/by-nc.png" alt="" /></a></p><p><strong>Jurnal Informatika Universitas Pamulang</strong> is licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0" target="blank">Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</a></p><h3>YOU ARE FREE TO:</h3><ul id="license-freedoms-no-icons"><li class="license share"><strong>Share</strong> — copy and redistribute the material in any medium or format</li><li class="license remix"><strong>Adapt</strong> — remix, transform, and build upon the material for any purpose, even commercially.</li><li class="license">The licensor cannot revoke these freedoms as long as you follow the license terms</li></ul>Implementasi Black Box Testing dan Acceptance Testing Fitur SKKM pada Cybercampus.uam.ac.id Universitas Anwar Medika
http://openjournal.unpam.ac.id/index.php/informatika/article/view/36904
<p>The Student Activity Credit System or abbreviated as (SKKM) recognizes and recognizes the existence of student activities in its development. However, Cybercampus still finds many errors with the SKKM feature, this can be seen from the fact that some students do not understand the SKKM feature. Students have difficulty inputting documents that must be uploaded, then there are some students who cannot access the SKKM feature. Based on existing problems, it is necessary to test applications to minimize functions that do not meet expectations. The scope of Testing is the system and based on the problem that many students do not understand the system, acceptance Testing is needed. Researchers tested the SKKM feature using Black Box Testing to identify which functions were damaged, interface errors, data structure errors, performance errors, initialization errors, and termination errors. Next, the second method uses the Acceptance test to test students' level of understanding and acceptance of the SKKM features on Cybercampus. The results of Black Box Testing showed that there were 12 test scenarios and 1 test scenario that was not suitable. Researchers provide recommendations for system improvements to improve system quality. then by using Acceptance Testing with 3 variables, namely Perceived Ease of Use, Perceived Usefulness, and Acceptance of IT. Then the conclusion from the overall Acceptance Testing was 75%. The conclusion of this research is that the features function as expected well and no major errors were found, so that the SKKM menu on cybercampus.uam.ac.id can be used immediately.</p>Rony KriswibowoJohan Suryo PrayogoRusina Widha FebrianaPutri Ariatna Alia
Copyright (c) 2023 Rony Kriswibowo
2023-12-312023-12-318456156710.32493/informatika.v8i4.36904Klasifikasi Sentimen Tweet Masyarakat terhadap Kendaraan Listrik Menggunakan Support Vector Machine
http://openjournal.unpam.ac.id/index.php/informatika/article/view/36754
<p align="justify"><span lang="EN-US">Sentiment analysis involves using classification algorithms to analyze public opinions and feelings in text. Within the automobile industry, electric vehicles (EVs) stem from the circular economy and represent a novel technology under investigation in sentiment classification studies. The Support Vector Machine (SVM) algorithm is commonly used in this research due to its superior accuracy compared to other algorithms. The goal of this study is to apply SVM variable selection techniques to enhance sentiment analysis quality. Python is the programming language used to build the sentiment classification model, which involves feature selection using TF-IDF, training with cross-validation and grid search, evaluation using a confusion matrix, and storing the dataset in a MySQL database. The research focuses on the sentiment classification of 3000 public tweets about electric vehicles on Twitter. Through various scenarios, it was observed that the accuracy of sentiment classification varied depending on factors such as randomizing data, handling negation, and using different types of features like unigrams or bigrams. The highest accuracy achieved was 84% using a scenario with random data, negation handling, and unigram features. Overall, this research highlights the impact of randomizing data and selecting appropriate features on sentiment classification accuracy for electric vehicles on Twitter.</span></p>Nuari AnandaMuhammad FikryYusra YusraLestari HandayaniIwan Iskandar
Copyright (c) 2023 Nuari Ananda
2023-12-282023-12-288456857710.32493/informatika.v8i4.36754Augmented Reality dalam Pengenalan Koleksi Museum Karst Indonesia dalam Aplikasi Mobile
http://openjournal.unpam.ac.id/index.php/informatika/article/view/35993
<p align="justify"><span lang="EN-US">Museums serve as guardians of historical, cultural artifacts, and research outcomes. Yet, sharing collections with the public is vital to fostering appreciation for a museum's legacy and expanding knowledge. Regrettably, the Museum Karst Indonesia's collection introduction relies solely on text and images, lacking allure. This study aims to revolutionize this by employing Augmented Reality (AR) for a more captivating display. Through the AR application, visitors can explore the collection interactively, featuring 3D objects and real-time audio explanations drawn from the museum's Application Programming Interface (API). Employing the Multimedia Development Life Cycle (MDLC), this research rigorously tests the application using blackbox, distance, and lighting methods, showing its effectiveness within these parameters. Users engaging with markers should maintain a distance of 5 to 70 cm for accurate detection under suitable lighting conditions. AR's implementation anticipates enhancing the Museum Karst Indonesia's appeal as an educational tourist spot, enriching visitor experiences, and deepening comprehension of Indonesia's natural wealth.</span></p>Bian Kusharyanto AriadanuMuhammad Zakariyah
Copyright (c) 2023 Bian Kusharyanto Ariadanu, Muhammad Zakariyah
2024-01-042024-01-048457858510.32493/informatika.v8i4.35993