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All Journal Journal on Education Journal of Artificial Intelligence and Digital Business
Ayu Talenta Lumbantoruan
Universitas Pamulang
Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

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Pengaruh Teknologi Digital Terhadap Kebiasaan Dan Pola Perkembangan Generasi Alpha Sopiyan Apandi; Ayu Talenta Lumbantoruan; Medina Fikanti; Kartika Nazawa Sri Utami; Siti Fatul Zahrani
Journal on Education Vol 7 No 2 (2025): Journal on Education: Volume 7 Nomor 2 Tahun 2025 In Progress (Januari-Februari 2
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i2.7916

Abstract

Generation Alpha is a group of generations born after 2010 and grow up in a digital era dominated by technological advances. This article aims to analyze the influence of digital technology on the habits and development patterns of this generation. The research method used is literature study and descriptive analysis. The results show that digital technology has a significant impact on the learning patterns, social interactions and cognitive development of the Alpha generation. On the one hand, technology supports digital-based learning, creativity development, and access to unlimited information. However, the challenges of technology a addiction, reduced face-to-face social interaction, and mental health issues must also be addressed. This study recommends managing the use of digital technology wisely by parents and educational institutions to maximize benefits and minimize negative impacts.
Analisis Peforma Algoritma Kompresi Huffman, LZW, BZIP2, Zstandard dan Brotli dalam Efisiensi Penyimpanan Data dan Transfer Data Okta Irawati; Nurhasanah Nurhasanah; Siti Fatul Zahrani; Ayu Talenta Lumbantoruan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1396

Abstract

Penelitian ini bertujuan untuk mengevaluasi performa beberapa algoritma kompresi data dalam kaitannya dengan efisiensi penyimpanan dan kecepatan transfer data. Fokus utama terletak pada perbandingan antara efisiensi hasil kompresi, durasi proses kompresi-dekompresi, serta dampaknya terhadap waktu pengiriman data. Untuk mendukung analisis, digunakan teori dasar dari teknik kompresi seperti algoritma JPEG, Discrete Cosine Transform (DCT), dan Huffman Coding yang sering digunakan dalam pengolahan gambar digital.Data diperoleh melalui uji coba terhadap berbagai jenis file gambar digital (JPG, TIFF, GIF), kemudian dianalisis secara kualitatif dengan meninjau rasio kompresi, durasi proses, serta pengaruh karakteristik data terhadap efektivitas kompresi. Hasil analisis menunjukkan bahwa pemilihan algoritma yang sesuai (contohnya, adaptasi JPEG pada file non-JPG) dapat meningkatkan efisiensi ruang simpan hingga 40% dan mempercepat pengiriman data. Namun, efektivitas setiap algoritma sangat bergantung pada tingkat redundansi dan jenis format file yang digunakan.
Co-Authors Kartika Nazawa Sri Utami Medina Fikanti Nurhasanah Nurhasanah Okta Irawati Siti Fatul Zahrani Sopiyan Apandi