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All Journal Majalah Ilmiah Warta Dharmawangsa International Journal of Advances in Data and Information Systems Jurnal UNITEK Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) J-SAKTI (Jurnal Sains Komputer dan Informatika) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Maneggio Journal of Computer Science Artificial Intelligence and Communications JPPM : Jurnal Pengabdian dan Pemberdayaan Masyarakat
Eka, Muhammad
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Religion Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Digital Reconstruction and Preservation of North Sumatra’s Cultural Heritage: Integrating Generative Adversarial Networks (GAN) and Augmented Reality (AR) for Enhanced Historical Site Visualization - Systematic Literature Review Eka, Muhammad; Saari, Erni Marlina
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1494

Abstract

The integration of Generative Adversarial Networks (GAN) and Augmented Reality (AR) in cultural heritage preservation offers significant potential to enhance educational engagement and tourism experiences. GAN provides high-fidelity digital reconstructions of historical sites, while AR adds immersive, interactive elements that bring these reconstructions to life, fostering a deeper connection with cultural narratives. However, challenges such as data quality, technical constraints, and the need for user-friendly design must be addressed to fully realize the benefits of these technologies. These challenges are particularly prominent in remote or resource-limited areas, where infrastructure may be inadequate. To maximize the potential of GAN and AR, future research should focus on improving dataset quality, enhancing GAN algorithms, and developing accessible, scalable AR applications that prioritize ease of use. By addressing these challenges, GAN and AR can become transformative tools for preserving cultural heritage and fostering greater public engagement, ensuring that cultural treasures are both protected and made accessible for future generations.
Prediksi Penjualan Susu Lansia Dengan Metode Weighted Moving Average Di Toko Susu Asia Mandiri Putra, Andi; Eka, Muhammad; Hasugian, Buyung Solihin
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol. 7 No. 1: JUNI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v7i1.8486

Abstract

Toko Susu Asia Mandiri menghadapi permasalahan dalam memprediksi jumlah stok susu lansia yang harus disediakan setiap bulan. Pengelolaan stok yang tidak tepat menyebabkan penumpukan barang atau kekurangan stok yang berdampak pada kerugian finansial. Penelitian ini bertujuan merancang dan membangun sistem peramalan penjualan susu lansia berbasis web menggunakan metode Weighted Moving Average (WMA). Data yang digunakan adalah data penjualan lima merek susu lansia terlaris, yaitu Entrasol Gold, Anlene Gold, Ensure, Appeton 60+, dan Entramix, pada periode Juli 2023 hingga Juli 2025. Sistem dibangun menggunakan bahasa pemrograman PHP dan MySQL sebagai basis data. Hasil pengujian menunjukkan bahwa metode WMA dengan 2 periode bobot menghasilkan nilai MAD sebesar 3,36, MSE sebesar 16,06, dan MAPE sebesar 5,43% untuk prediksi penjualan Entrasol Gold bulan Agustus 2025 sebanyak 61 unit. Nilai MAPE di bawah 10% menunjukkan bahwa metode WMA sangat layak digunakan sebagai alat bantu pengambilan keputusan stok di Toko Susu Asia Mandiri.
Co-Authors Abbrar, Rayhan Sultan Andi Putra Arief Budiman Asih, Munjiat Setiani Buyung Solihin Hasugian Damayanti, Fera David David Hafizah, Akhwani Shifa Hayuni, Sabrina Ibnu Rusydi Laura Lahindah, Laura Lestari, Yuyun Dwi Novita Anggraini Ramadhan, Deri Rusmin Saragih, Rusmin Saari, Erni Marlina Sabrina Aulia Rahmah Setiawaty, Susanti Simon, Jhon Siregar, Rara Astili Suhariyanti, Suhariyanti Supiyandi Supiyandi Usadani , Sih Ramping Zulham Zulham