https://ojs3.lppm-uis.org/index.php/JR <p><strong>JR: Jurnal Responsive Teknik Informatika</strong> is a scientific journal that highlights the latest advancements in the field of information technology. This journal provides a platform for researchers, practitioners, and academics to share their latest knowledge and findings regarding programming, software development, information security, artificial intelligence, and cloud computing. Through a rigorous peer-review process, JR ensures that each published article has undergone careful evaluation, thus contributing to the advancement of knowledge and technology in informatics. Consequently, JR serves as a vital source for those interested in keeping up with current trends and understanding the latest developments in the field of informatics engineering. The journal is published every six months, specifically in <strong>June</strong> and <strong>December</strong>.</p> <p><strong>E-ISSN : 2614-7602</strong><br><strong>DOI : 10.36352</strong></p> en-US [email protected] (Rizki Prakasa Hasibuan) [email protected] (UPPM FT UIS) Fri, 19 Dec 2025 09:21:25 +0000 OJS 3.1.2.4 http://blogs.law.harvard.edu/tech/rss 60 https://ojs3.lppm-uis.org/index.php/JR/article/view/1311 <p>This study aims to develop a classification system for Indonesian traditional masks using the Convolutional Neural Network (CNN) method. Traditional masks exhibit rich visual diversity that reflects the cultural identities of various regions in Indonesia; however, manual identification is time-consuming and prone to errors. The system developed in this study is capable of classifying five types of masks—Cirebon, Balinese, Malangan, Dayak, and Betawi masks—based on digital images with a high level of accuracy. The proposed CNN model achieved an accuracy of 92.3% on the test dataset, with an average macro F1-score of 0.91. Data preprocessing and augmentation techniques, including rotation, flipping, and brightness adjustment, effectively enhanced the model’s performance by reducing the risk of overfitting. These results demonstrate the strong potential of deep learning technology in supporting cultural heritage preservation through the digitalization and automated classification of Indonesian traditional masks.</p> Ashabul Kahpi Copyright (c) 2025 Jurnal Responsive Teknik Informatika https://ojs3.lppm-uis.org/index.php/JR/article/view/1311 Fri, 19 Dec 2025 09:28:37 +0000 https://ojs3.lppm-uis.org/index.php/JR/article/view/1269 <p>Yayasan Daarul Qur’an Wal-Hadits NW mempunyai website masih terbatas profile saja dan gambar yang mengakibatkan informasi belum begitu lengkap untuk dapat dibaca oleh santri, orang dan masyarakat umum dan pengolahan administrasi menggunakan aplikasi bantu <em>Microsoft office excels</em> dan <em>word</em> dalam membuat data guru dan santri, serta informasi kami tempelkan juga di mading atau di depan kelas untuk dapat dibaca oleh guru dan santri mengakibatkan informasi belum bisa menjadi informasi ke masyarakat umum. Maka penulis merumuskan masalah bagaimana merancang, menguji dan mengimplementasikan <em>website</em> dan administrasi di Yayasan Daarul Qur’an Wal-Hadits NW Batam. Metode menggunakan model waterfall dengan tahapan analisis kebutuhan, desain sistem menggunakan <em>Unified Modeling Language</em>, implementasi, pengujian dengan <em>black box testing</em>, dan deployment. Hasil Perancangan <em>website </em>dan administrasi dengan tahapan model <em>waterfall</em> menghasilkan analisis sistem, desain sistem dengan pemodelan UML dan empat diagram serta delapan belas tabel untuk mendukung pembuatan website. Pengujian dan penerapan <em>website</em> dan administrasi yang diuji secara <em>localhost</em> dan online di alamat <a href="https://darulqurannwbatam.com/">https://darulqurannwbatam.com/</a> serta&nbsp;&nbsp; <em>blackbox testing</em> dinyatakan sistem berhasil digunakan. Website dan administrasi sebagai sarana informasi, promosi serta sebagai alat bantu administrasi Yayasan Daarul Qur’an Wal-Hadits NW Batam dalam mengolah data guru dan santri serta menjadi informasi yang dapat dilihat oleh masyarakat umum. Website dan administrasi memenuhi unsur pengguna sesuai perkembangan teknologi yang lebih kompleks dengan support berbagai smartphone dan dashboard perlu dikembang serta peningkatan sumber daya manusia, yaitu sumber daya dalam pengoperasian sistem dan mampu merawat, memelihara sistem tersebut dengan baik.</p> Dewi Sartika Wati, Army Trilidia Devega Copyright (c) 2025 Jurnal Responsive Teknik Informatika https://ojs3.lppm-uis.org/index.php/JR/article/view/1269 Sat, 20 Dec 2025 00:00:00 +0000