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Systematic Literature Review (SLR): Analisis Isu Mental Health Di Era Digital Gunawan Putra Wahdana; Dhimas Tribuana; Dayanti Dayanti
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.68

Abstract

Mental health has become a critical global issue that has significantly increased in recent years, driven by social changes and the rapid development of digital technology. This study aims to identify key domains, analyze research trends, and uncover research gaps in mental health studies using a Systematic Literature Review (SLR) approach. The methodology involves identification, screening, eligibility assessment, and in-depth analysis of 20 scientific articles published between 2023 and 2026. The results reveal four main domains in mental health research: service accessibility, technology and artificial intelligence, social factors, and global collaboration. The findings indicate that although technologies such as Artificial Intelligence (AI) and machine learning improve prediction accuracy and early detection, the primary challenges remain in limited access to mental health services and the influence of social factors. Furthermore, a gap exists between technological development and real-world implementation. The main contribution of this study is the development of an integrative mental health system model that combines access, technology, social factors, and collaboration. This model is expected to serve as a foundation for developing more effective, integrated, and sustainable mental health systems in the future.
Rancang Bangun Aplikasi Pengecekan Dokumen Digital Tugas Mahasiswa Berbasis Website Haeruddin Haeruddin; Gunawan Putra Wahdana; Dhimas Tribuana; Dayanti Dayanti; Nur Inda
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.69

Abstract

The development of information technology has encouraged the submission of student assignments to shift from physical documents to digital documents. However, this convenience also creates new challenges, such as unstructured assignment archiving and the increasing potential for document similarity among students. This study aims to design and develop a website-based digital document checking application for student assignments that can manage documents and automatically display similarity percentages between files. The system was developed using the Waterfall method through requirement analysis, system design, implementation, testing, and evaluation stages. The technologies used include HTML, CSS, PHP, JavaScript, MySQL, XAMPP, and Sublime Text. The document checking process consists of document upload, text extraction, text preprocessing, word weighting using TF-IDF, and similarity measurement using the cosine similarity method. The data used consisted of 165 student assignment files, comprising 79 dataset files and 86 test files. Testing on five sample documents showed that the system was able to display various similarity percentages of 5%, 12%, 45%, 88%, and 92%, categorized as original, plagiarism indication, and high plagiarism. These results indicate that the application can assist lecturers in conducting an initial examination of similarity in student assignment documents. Therefore, the developed application has the potential to support more effective academic document management and improve academic integrity in higher education environments.