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Pemanfaatan Artificial Intelegence (AI) Dalam Meningkatkan Kreatifitas Siswa SMK Negri 2 Tanjung Balai Andrew Ramadhani; Raja Tama Andri Agus; Parini; Anjani
Gudang Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): GJPM - JANUARI
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjpm.v3i1.1419

Abstract

Pemanfaatan artificial intelegence (AI) dalam dunia pendidikan semakin berkembang pesat, khususnya dalam meningkatkan kreativitas siswa. Penelitian ini bertujuan untuk menganalisis peran artificial intelegence (AI) dalam mendukung kreativitas siswa-siswi di SMK Negeri 2 Tanjung Balai, khususnya pada jurusan Audio Video. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan teknik observasi, wawancara, dan studi literatur. Hasil kegiatan menunjukkan bahwa penggunaan artificial intelegence (AI) dalam pembelajaran, seperti pembuatan lirik lagu, instrumen musik dan pengeditan video berbasis AI, mampu meningkatkan kreativitas siswa dalam menghasilkan karya audiovisual yang inovatif. Selain itu, artificial intelegence (AI) juga membantu siswa dalam memahami konsep teknis dengan lebih interaktif dan efisien. Dengan demikian, pemanfaatan artificial intelegence (AI) di lingkungan pendidikan vokasi dapat menjadi solusi efektif dalam meningkatkan kualitas pembelajaran dan daya saing lulusan di industri kreatif.
IMPLEMENTASI COMPOSITE PERFORMANCE INDEX DALAM MENENTUKAN SISWA BERPRESTASI DI MA ISLAMIYAH SEI KAMAH II Susilo, Widya Amanda; Ramdhan, William; Parini
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/kg28tj66

Abstract

The selection of outstanding students at MA Islamiyah Sei Kamah II was previously conducted manually and subjectively, without a structured and transparent assessment standard. The evaluation relied solely on report card scores, disregarding other factors such as attendance, non-academic achievements, and student behavior, which could impact the objectivity of the selection process. To address this issue, this study implements a Decision Support System (DSS) based on the Composite Performance Index (CPI) method to enhance accuracy and transparency in selecting outstanding students. The CPI method integrates various assessment criteria with assigned weights, including report card scores (40%), non-academic achievements (30%), behavior (20%), and attendance (10%). The system is web-based, developed using PHP and MySQL to systematically manage student data. The implementation results indicate that the developed system effectively ranks students more objectively and accurately, ensuring a fair and accountable selection process. With this system, the school can improve the quality of student evaluations and provide more appropriate recognition for high-achieving students. Future recommendations include expanding the system’s accessibility through an Android-based application to enhance usability and efficiency in managing student data.
Co-Authors Andrew Ramadhani Anjani Raja Tama Andri Agus Ramdhan, William Susilo, Widya Amanda