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All Journal Education Journal: General and Specific Research Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
Ifan Hakim
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Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PERAN MEDIA PEMBELAJARAN DIGITAL DALAM MEMBENTUK PERKEMBANGAN KEPRIBADIAN SISWA DI PENDIDIKAN VOKASI Ifan Hakim
EDUCATIONAL JOURNAL : General and Specific Research Vol. 4 No. 2 (2024): JUNI
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Vocational education requires the effective role of digital learning media in shaping student personality development. This study aims to analyze how the use of digital learning media can influence student personality development in vocational education. The results show that the use of digital learning media can increase student motivation, self-directed learning, and adaptability to change. Other positive impacts include eliminating spatial and temporal limitations, clarifying information, and reducing unnecessary costs. However, some challenges were found, such as not all schools having sufficient facilities and infrastructure to support learning processes using digital learning media. Therefore, this study recommends that the development of digital learning media should be tailored to student needs and abilities, considering existing limitations. In this way, digital learning media can become an effective tool in shaping student personality development in vocational education.
Optimizing an Expert System for Diagnosing a Depression Disorder Using a Case Based Reasoning Method Septian Rico Hernawan; Nur Azmi Ainul Bashir; Ifan Hakim
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 3 No. 3 (2024)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v3.i3.39

Abstract

According to data from the World Health Organization (WHO), 3.7% of the population in Indonesia experiences depression. Depression can impact both the mental and physical conditions of an individual. WHO reports that every year, approximately 800,000 people die by suicide, with depression being one of the causes. Depression treatment is handled by a professional, and in the field, the process of diagnosing depression disorders is still generally done manually by them. This creates many opportunities for errors, despite the fact that each level of depression disorder requires different handling. Inadequate treatment can hinder the patient's recovery and may potentially worsen their condition. A precise and efficient method is needed to diagnose depression disorders. An expert system can reduce the risk of errors that occur with manual calculations. The implemented case-based reasoning method can classify depression disorders. Testing was conducted using 30 datasets as initial knowledge, with 20 sample data points for testing, randomly selected from the population through questionnaires. The classification accuracy for depression disorders reached up to 90%.
Co-Authors Nur Azmi Ainul Bashir Septian Rico Hernawan