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Development of Tourism Attractiveness of Nagari Canduang Koto Laweh Canduang District, Agam Regency Sarmiadi; Yosi Suryani; Elni Sumiarti
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (149.69 KB)

Abstract

One form of tourism development is the establishment of many tourist villages, including those in Nagari Canduang Koto Laweh, Canduang District, Agam Regency. This study aims to identify tourist attractions in Canduang Koto Laweh Tourism Village, Agam Regency and their development strategies. This study uses a qualitative descriptive approach using primary data obtained through observation and interviews with relevant stakeholders. Secondary data is collected through supporting sources and references and data analysis using an interactive model method. The results of this study indicate that Nagari Canduang, City of Laweh has a lot of tourism potential both from the aspect of natural tourism, cultural tourism and artificial tourism. However, this potential has not been developed properly so that the number of tourist visits has not increased. For this reason, it is recommended that a massive promotion be carried out to stakeholders.
Optimizing Student Admission Process Through EPPMB Raemon Syaljumairi; Ervan Asri; Sarmiadi
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 2 No 3 (2024)
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/joseit.v3i2.6264

Abstract

The research addresses the challenges of managing multiple admission channels in higher education institutions through a comprehensive web-based solution. Following Design Science Research Methodology, we developed and implemented a multi-layer architecture that integrates various admission processes while maintaining system security and performance. The system handles six distinct admission channels, including Recognition of Prior Learning (RPL), Applied Master's Program, and industry partnership programs. Results demonstrate significant improvements in operational efficiency, with a 65% reduction in application processing time and error rates below 0.1%.
Co-Authors Elni Sumiarti Syaljumairi, Raemon Yosi Suryani