Journal of Artificial Intelligence and Technology Information (JAITI)
https://ejournal.techcart-press.com/index.php/jaiti
<hr> <table width="100%" bgcolor="#f0f0f0"> <tbody> <tr valign="top"> <td width="21%"><img src="/public/site/images/adminojstcp/New_Cover_JAITI.png"></td> <td width="79%"> <table width="100%" bgcolor="#f0f0f0"> <tbody> <tr valign="top"> <td width="30%">Journal title</td> <td width="5%">:</td> <td align="justify" width="65%"><strong>Journal of Artificial Intelligence and Technology Information (JAITI)</strong></td> </tr> <tr valign="top"> <td width="30%">Publisher</td> <td width="5%">:</td> <td width="65%"><strong>Tech Cart Press</strong></td> </tr> <tr valign="top"> <td width="30%">Period Publish</td> <td width="5%">:</td> <td width="65%"><strong>March</strong>, <strong>June</strong>, <strong>September</strong>, and <strong>December</strong></td> </tr> <tr valign="top"> <td width="30%">ISSN</td> <td width="5%">:</td> <td width="65%"><strong><a title="E-ISSN" href="https://issn.brin.go.id/terbit/detail/20230119380863209" target="_blank" rel="noopener">2985-6396 (Online)</a><br></strong></td> </tr> <tr valign="top"> <td width="30%">P-ISSN</td> <td width="5%">:</td> <td width="65%"><strong><a title="P-ISSN" href="https://issn.brin.go.id/terbit/detail/20230119280869503" target="_blank" rel="noopener">2985-5306 (Print)</a><br></strong></td> </tr> <tr valign="top"> <td width="30%">DOI</td> <td width="5%">:</td> <td width="65%">10.58602 (Prefix - by Crossref)</td> </tr> </tbody> </table> </td> </tr> </tbody> </table> <hr> <p align="justify"><strong>Journal of Artificial Intelligence and Technology Information (JAITI)</strong> is a peer-review journal focusing on Artificial Intelligence and Technology Information issues. <strong>Journal of Artificial Intelligence and Technology Information (JAITI) </strong>invites academics and researchers who do original research in artificial intelligence and technology 1nfromation.<strong>Journal of Artificial Intelligence and Technology Information (JAITI)</strong> is published by <strong>Tech Cart Press</strong> in <strong>March</strong>, <strong>June</strong>, <strong>September</strong>, and <strong>December</strong> every year. <strong>Journal of Artificial Intelligence and Technology Information (JAITI)</strong> accept articles in Bahasa Indonesia and English.</p> <p align="justify"><strong>Journal of Artificial Intelligence and Technology Information (JAITI)</strong> has ISSN <a title="ISSN Online" href="https://issn.brin.go.id/terbit/detail/20230119380863209" target="_blank" rel="noopener"><strong>2985-6396 (Online)</strong></a> in accordance with the letter of Statement Number <strong>29856396/II.7.4/SK.ISSN/02/2023</strong>, and ISSN <a title="ISSN Print" href="https://issn.brin.go.id/terbit/detail/20230119280869503" target="_blank" rel="noopener"><strong>2985-5306 (Print</strong>)</a> in accordance with the letter of Statement Number<strong> 29855306/II.7.4/SK.ISSN/02/2023</strong>.</p> <p align="justify">We are proud to announce that our journal has successfully achieved accreditation from the Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi with Number: <strong>156/C/C3/KPT/2026</strong> with a <strong>SINTA 4</strong>. This achievement is the result of the dedication and hard work of the editorial team, reviewers, and writers who have contributed to maintaining the quality of the published articles. With this accreditation, we are committed to continuing to improve the quality and relevance of published research, as well as expanding the scientific impact on the national and international scope. Thank you to all parties who have supported the development of our journal. We hope that this journal will continue to be a forum for the publication of high-quality scientific works in the future.</p> <p align="justify"><img src="/public/site/images/pritasari/JAITI.png"></p>PT. Tech Cart Pressen-USJournal of Artificial Intelligence and Technology Information (JAITI)2985-5306Optimasi Model Machine Learning Menggunakan Teknik SMOTE pada Analisis Sentimen Pengguna RedBus
https://ejournal.techcart-press.com/index.php/jaiti/article/view/182
<p>Perkembangan teknologi digital semakin memudahkan masyarakat dalam memenuhi kebutuhan transportasi, salah satunya melalui aplikasi pemesanan tiket bus seperti <em>RedBus</em>. Aplikasi ini menghadirkan layanan pemesanan secara praktis, namun ulasan pengguna yang semakin banyak di <em>Google Play Store</em> bersifat tidak terstruktur sehingga memerlukan analisis lebih lanjut untuk menilai kualitas layanan secara objektif. Penelitian ini bertujuan untuk mengklasifikasikan sentimen kepuasan pengguna aplikasi <em>RedBus</em> dengan memanfaatkan algoritma <em>Naïve Bayes</em> dan <em>Random Forest</em>. Untuk mengatasi masalah ketidakseimbangan data, digunakan teknik <em>Synthetic Minority Over-sampling Technique </em>(<em>SMOTE</em>). Data yang digunakan berjumlah 2.000 ulasan yang dikumpulkan melalui metode <em>web scraping</em>, kemudian diproses melalui tahapan preprocessing yang meliputi data <em>cleaning</em>, <em>cleansing</em>, <em>case folding, tokenization</em>, <em>stopword</em>, dan <em>stemming</em>. Selanjutnya, data diberi label kepuasan berdasarkan rating, lalu dikonversi menjadi fitur numerik dengan metode TF-IDF. Data dibagi menjadi 90% data latih dan 10% data uji agar dapat dievaluasi secara menyeluruh. Hasil pengujian menunjukkan bahwa algoritma <em>Naïve Bayes</em> menghasilkan akurasi 91%, <em>precision</em> 97%, <em>recall</em> 89%, dan <em>F1-score</em> 92%. Sementara itu, algoritma <em>Random Forest</em> memperoleh akurasi 90%, <em>precision </em>94%, <em>recall </em>90%, dan <em>F1-score</em> 92%. Keunggulan <em>Naïve Bayes</em> terlihat pada nilai <em>precision</em> yang tinggi, menunjukkan kemampuannya dalam meminimalkan kesalahan klasifikasi positif palsu. Kesimpulannya, penerapan <em>Naïve Bayes</em> dengan dukungan <em>SMOTE</em> dinilai lebih optimal dalam mengklasifikasikan sentimen ulasan, sehingga dapat menjadi masukan bagi pengembang <em>RedBus</em> dalam meningkatkan kualitas layanan dan kepuasan pengguna.</p>Arman RamadhaniRiska AryantiSarifah Agustiani
Copyright (c) 2026 Arman Ramadhani, Riska Aryanti, Sarifah Agustiani
https://creativecommons.org/licenses/by-sa/4.0
2026-03-312026-03-314111210.58602/jaiti.v4i1.182