https://ejournal.techcart-press.com/index.php/jaiti/issue/feed 2026-06-21T00:00:00+07:00 Desi Puspitasari, M.Kom. jaiti.techcartpress@gmail.com Open Journal Systems <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&nbsp;<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> https://ejournal.techcart-press.com/index.php/jaiti/article/view/243 2026-05-10T07:16:18+07:00 Juan Sebastian Sijron Lahope juanlahope106@student.unsrat.ac.id Benny Pinontoan bpinonto@yahoo.com Wisard Kalengkongan wisard.kalengkongan@unsrat.ac.id Mahardika Inra Takaendengan mahardika@unsrat.ac.id Eliasta Ketaren eliasketaren@unsrat.ac.id Edwin Tenda tenda.edwin@unsrat.ac.id

<p>Church worship services require a system that can assist in organizing and presenting worship materials in a structured manner so that congregants can follow the service effectively. However, the conventional presentation of liturgy, Bible verses, and songs creates challenges in material management, slide transition flexibility, and limited access for congregants. This study aims to design and implement a web-based liturgical presentation system to improve efficiency and flexibility in managing and delivering worship materials in a single church, namely GMIM Kanaan Likupang Dua. The research employs the Research and Development (R&amp;D) method, which includes requirement analysis, system design using Unified Modeling Language (UML), development, testing, and evaluation. The system is developed using PHP with the Yii Framework 2 and MySQL database, implementing the Model-View-Controller (MVC) architecture. The main features include liturgy management, web-based presentation, a Quick Switch feature for rapid content changes, and QR Code integration that enables congregants to access presentation content through personal devices. Black Box Testing results indicate that all system functions operate properly. Furthermore, User Acceptance Testing (UAT) shows a high level of user acceptance, with 98.75% from multimedia staff and 88.86% from congregants. Therefore, the developed system is considered feasible and effective in supporting more structured, responsive, and inclusive worship services.</p>

2026-06-21T00:00:00+07:00 Copyright (c) 2026 Juan Sebastian Sijron Lahope, Benny Pinontoan, Wisard Kalengkongan, Mahardika Inra Takaendengan, Eliasta Ketaren, Edwin Tenda https://ejournal.techcart-press.com/index.php/jaiti/article/view/242 2026-05-09T14:05:41+07:00 Maknun Fil Safah maknunsafah@mhs.unhasy.ac.id Chamdan Mashuri chamdanmashuri@unhasy.ac.id

<p><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">Pembelajaran huruf hijaiyah merupakan fondasi awal dalam kemampuan membaca Al-Qur'an, namun pada praktiknya proses belajar di lembaga pendidikan nonformal masih banyak bergantung pada metode konvensional yang kurang interaktif dan belum menyediakan evaluasi pelafalan secara langsung. Penelitian ini bertujuan mengembangkan aplikasi pembelajaran huruf hijaiyah berbasis Android yang mengintegrasikan teknologi </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">pengenalan suara</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> dan algoritma </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">Levenshtein Distance</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> sebagai </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">pemeriksa ejaan</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> untuk menilai kesamaan hasil pelafalan pengguna terhadap target bacaan. Metode penelitian menggunakan pendekatan pengembangan perangkat lunak yang mencakup penghapusan masalah, studi literatur, analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Perancangan sistem dilakukan menggunakan flowchart dan use case diagram. Sistem memproses suara pengguna melalui modul pengenalan suara, mengubah teks menjadi, lalu menghitung nilai </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">edit jarak</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> dan kesamaan untuk menghasilkan klasifikasi benar, mendekati, atau salah. Hasil pengujian menunjukkan bahwa aplikasi mampu menjalankan fungsi utama pembelajaran, menampilkan materi, memutar contoh audio, menerima input suara, dan memberikan umpan balik otomatis. Pengujian sampel terhadap 15 menunjukkan 6 data benar, 6 data mendekati, dan 3 data salah, dengan tingkat akurasi sistem sebesar 90%. Temuan ini menunjukkan bahwa kombinasi </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">pengenalan suara</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> dan </span></span><em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">Levenshtein Distance</span></span></em><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> layak diterapkan sebagai media pembelajaran interaktif untuk membantu anak-anak berlatih membaca huruf hijaiyah secara lebih mandiri, terukur, dan menarik.</span></span></p>

2026-06-21T00:00:00+07:00 Copyright (c) 2026 Maknun Fil Safah, Chamdan Mashuri