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All Journal ComEngApp : Computer Engineering and Applications Journal IPTEK The Journal for Technology and Science Fountain of Informatics Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Informatika Universitas Pamulang METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi INTEK: Informatika dan Teknologi Informasi Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Insyst : Journal of Intelligent System and Computation JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal Of Computer, Network Security and Information System (IJCONSIST) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pengabdian Sains dan Humaniora Journal of Data Science Theory and Application Jurnal Riset Multidisiplin Edukasi Journal of Applied Informatics Research
Haq, Dina Zatusiva
Universitas Pembangunan Nasional Veteran Jawa Timur
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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An Instant Online CV Creation Workshop Using Generative AI and a Web-Based Platform to Improve Digital Literacy and Job Readiness for Vocational High School Students Angga Lisdiyanto; Addien Haniefardy; Laqma Dica Fitrani; Agus Wibowo; Ikhwan Abdillah; Nurul Fuad; Winarti; Yerezqy Bagus; Dina Zatusiva Haq; Yoga Ari Tofan; Vinza Hedi Satria
Jurnal Pengabdian Sains dan Humaniora Vol. 5 No. 1 (2026): 2026 May Edition
Publisher : Fakultas Keguruan dan Ilmu Pendidikan-Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpsh.v5i1.10943

Abstract

Graduates of Vocational High Schools (SMK) consistently contribute the most to Indonesia's Open Unemployment Rate (TPT), reaching 8.63% as of August 2025. A major issue is students' limited ability to develop relevant digital personal branding aligned with modern recruitment standards, such as having an attractive and accessible online Curriculum Vitae (CV). This community service project (PkM) aims to equip 12th-grade students at SMK Al-Amin Mojowuku, Kedamean, Gresik, with skills to create instant website-based CVs using three free tools: generative AI (DeepSeek), image hosting service (ImgBB), and HTML publishing platform (Tiiny.host). Conducted offline on April 28, 2026, with 28 participants, the workshop employed project-based learning combined with AI-assisted learning. The activity involved needs analysis, module development, workshops through lectures and practical exercises, and output evaluation. Results showed all participants successfully published personal CV websites with various themes such as manga comics, anime, and floral motifs. Quantitative indicators included a 100% task completion rate, high active engagement, and positive feedback on material relevance. This activity effectively improved digital literacy, creativity and prepared students for digital-focused recruitment processes
Detecting Lung Disease Based on Chest X-ray Images Using a Hybrid CNN-KELM Approach Dian Candra Rini Novitasari; Musfiroh Musfiroh; Dina Zatusiva Haq
Intelligent System and Computation Vol 8 No 1 (2026): INSYST: Journal of Intelligent System and Computation
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52985/insyst.v8i1.479

Abstract

Tuberculosis (TB) is a disease caused by the Mycobacterium tuberculosis (M.tb) bacterium. TB ranks among the top 10 deadliest diseases worldwide and is the second most contagious disease after COVID-19. The World Health Organization (WHO) recommends using Chest X-ray (CXR) imaging techniques, given their high sensitivity and cost-effectiveness. This study proposes a hybrid CNN-KELM (CKELM) method for the classification of four lung disease categories based on chest X-ray (CXR) images: tuberculosis, pneumonia, COVID-19, and normal, all within a short computational time. This study experimented with several types of CNN architectures implemented for feature extraction, while KELM for classification used hyperparameters that tested various kernel types and regularization coefficients. The experimental results indicate that the best performance is achieved using the DenseNet201 architecture with a polynomial kernel and a regularization coefficient of 0.1. The polynomial kernel demonstrates superior performance across all CNN architectures. Furthermore, a regularization coefficient of 0.1 exhibits the highest accuracy in the kernel and CNN architecture experiments. The DenseNet201-KELM model attains an accuracy, sensitivity, specificity, precision, and F1-score of 99.57%, 99.57%, 99.86%, 99.57%, and 99.57%, which is 7% better than without under sampling and detection using the DenseNet201-KELM method requires a computational time of 309.19 seconds. The proposed method achieved good performance in multi-class classification, especially for balanced data, with fast computational time.
Digital Business Model Development through the Implementation of a Smart Tuition Payment System Laqma Fitrani; Angga Lisdiyanto; Masti Fatchiyah Maharani; Yerezqy Bagus; Dina Zatusiva Haq
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3282

Abstract

  The tuition payment system is an essential component of school financial administration that supports educational operations. However, many schools still rely on manual or semi-digital payment processes, which often result in delayed transaction recording, data entry errors, and limited transparency in financial reporting. This study aims to develop a web-based online tuition payment application to improve the efficiency, accuracy, and transparency of school financial management. The research employed a qualitative descriptive approach with data collected through observation, interviews, and literature review. System development was conducted using the Agile method, allowing the application to be refined iteratively according to user needs. The system was implemented using PHP and MySQL and includes features such as student data management, tuition billing generation, payment recording, digital receipt generation, and real-time financial reporting. The results indicate that the developed system enhances administrative efficiency, reduces recording errors, and improves the timeliness and transparency of financial reports. Furthermore, the implementation of this system supports the achievement of Sustainable Development Goal (SDG) 4: Quality Education by strengthening governance and sustainability in educational services.
Analisis Penerapan Secure Software Development Lifecycle (SSDLC) dalam Meningkatkan Keamanan Aplikasi Berbasis Cloud Septaro Travian Gadha; Dina Zatusiva Haq
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 6 (2026): Jurnal Riset Multidisiplin Edukasi (Juni 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i6.2260

Abstract

Perkembangan komputasi awan menghadirkan tantangan keamanan yang kompleks, sering kali akibat kurangnya integrasi keamanan dalam siklus pengembangan perangkat lunak. Penelitian ini bertujuan menganalisis penerapan Secure Development Lifecycle (SDL) untuk meningkatkan keamanan aplikasi berbasis cloud. Melalui metode studi literatur deskriptif kualitatif, hasil kajian menunjukkan bahwa integrasi praktik SDL secara menyeluruh—mulai dari perencanaan hingga monitoring—efektif mengidentifikasi dan memitigasi kerentanan sejak tahap awal. Pendekatan sistematis dan proaktif ini terbukti relevan dalam menekan risiko kerentanan umum seperti kelemahan kontrol akses, miskonfigurasi, dan desain yang tidak aman, sehingga menjamin keamanan aplikasi cloud secara berkelanjutan.
Co-Authors Abdillah, Rifqi Abdulloh Hamid Addien Haniefardy Adil Sandy Wardhani Adinda Putri Pratiwi Adzan, M. Sailul Agus Wibowo Andriyani , Mayrisa Angga Lisdiyanto Anisa Nur Azizah Bagus, Yerezqy Binti Kholifah C. R. Novitasari, Dian Chastine Fatichah Damayanti, Adelia Dian Candra Rini Novitasari Dica Fitrani, Laqma DIMAS NOVIAN ADITIA SYAHPUTRA Fitrani, Laqma Dica Hartanto, Salsabila Ikhwan Abdillah Jannah, Rachma Raudhatul Laqma Dica Fitrani Laqma Dica Fitrani Laqma Fitrani Lutfi Hakim M Adamu Islam Mashuri Maharani, Masti Fatchiyah Maulana Hassan Sechuti Misbachul Falach Asy'ari Moch Deny Pratama Moch Deny Pratama Muhammad Syaifulloh Fattah Muhtadin Billah, Muhammad Musfiroh Musfiroh Musfiroh Musfiroh, Musfiroh Novitasari, Dian C Rini Nurul Fuad Nurwilda , Siti Pratama, Moch Deny Puspitasari, Wahyu Tri Putri Wulandari Ramadanti , Alvin Nuralif Rasyid Al-Hadi, Daud Rifqi Abdillah Royal Fajar Sultoni Sari, Firda Yunita Septaro Travian Gadha Sholahuddin, Muhammad Zulfikar Siti Nur Aisah Sri Wahyuni Vinza Hedi Satria Winarti Wulandari, A’isyah Yerezqy Bagus Yerezqy Bagus Yerezqy Bagus Yoga Ari Tofan