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Perancangan Sistem Informasi Kawasan Wisata Mandeh Berbasis Web dengan Pendekatan User-Centered Design Azmi, Luxfy Roya; Ramadhani, Salisa ‘Asyarina; Putri, Vivin Mahat; Azhar, Wafianda
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 4 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i4.2909

Abstract

The Mandeh Tourism Area, located in Pesisir Selatan Regency, West Sumatra, is a leading destination with significant potential in the marine tourism sector. Often referred to as the "Raja Ampat of West Sumatra," this area offers clusters of exotic islands, clear waters, and rich underwater biodiversity that attract both domestic and international tourists. In 2023, the number of tourist visits exceeded two million, reflecting strong interest and the potential for tourism service development. However, the absence of an integrated digital information system remains a barrier to optimizing tourism services. To address this issue, the development of a web-based tourism information system using a User-Centered Design (UCD) approach is proposed as a strategic solution. UCD emphasizes user involvement throughout the design process, from needs analysis to system testing, to enhance information accessibility, user experience, and the competitiveness of the tourism destination. The implementation of this system is expected to support sustainable tourism growth and strengthen the local economy.
Electroencephalography on Controlling Assistive Device: A Systematic Literature Review Salisa 'Asyarina Ramadhani; Muhammad Ilhamdi Rusydi; Andrivo Rusydi; Minoru Sasaki; Luxfy Roya Azmi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 4 No. 2 (2024): November 2024
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v4i2.42

Abstract

The present article delves into the practical applications of electroencephalography (EEG) in assistive devices. The article thoroughly summarizes the current state of the art, research trends, methods, and implementation. The focus is primarily on how EEG can operate various assistive devices effectively, incorporating artificial intelligence, machine learning, and several computing methods. The authors emphasize the importance of conducting more research and development in the field and offer valuable insights into its prospective directions. A complete search of the Scopus database from 2017 to 2022, including journals and proceedings such as IEEE Xplore, MDPI, Springer, Frontiers, and ScienceDirect, was conducted to ensure the findings are as comprehensive as possible. Conferring to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, 4397 metadata were transformed into 45. Based on the data synthesis, the following study execution must prioritize determining whether the observed signals are attributable to EEG artifacts or actual EEG signals. The derivation of input signals for controlling helpful devices can be enhanced by utilizing familiar activities, such as facial muscle movements, and employing various machine-learning techniques to ensure high levels of accuracy.