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Tourist Attractions Visitor Density Monitoring Platform Novita Rosyida; Rachmad Andri Atmoko; Galih Panji Handoko; I Dewa Made Widia; Salnan Ratih Asriningtyas
Indonesian Journal of Engineering Research Vol 2 No 2 (2021): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/10.11594/ijer.02.02.06

Abstract

Tourism is one of the sectors that have been hit hard during the current Covid-19 pandemic. However, in 2021 the tourism sector is slowly rising marked by the number of tourist attractions that are starting to open to the public with the implementation of strict health protocols. However, in practice there are still many cases of violations of health protocols in various tourist attractions, ranging from the undisciplined use of masks, not keeping a distance (social distancing), and the absence of setting the ideal number of visitors during a pandemic like the current one. Managers of tourist attractions tend to ignore restrictions on the number of visitors due to the absence of an management system to run. There needs to be an application that can inform the condition of visitors to tourist attractions in real-time so that people have self-awareness of their personal health so that people can make early plans before traveling. In good governance, this application contributes to controlling the risk of Covid-19 transmission originating from crowded centers (tourist spots). The government can easily monitor the distribution of tourist visitor density in the area so that it can then be used as a basis for carrying out policies and handling in the field. This study proposes the development of an application platform (software and hardware) monitoring the density of visitors to tourist attractions using the concept of object detection based on image processing and deep learning. The integration of hardware with web-based software will provide information on the density of visitors to tourist attractions that are easily accessible to the public so that they are expected to contribute to the handling of the current Covid-19 pandemic.
Training on Using Google Data Studio for Real-Time and Interactive Management of Beji Village Data and Information Rachmad Andri Atmoko; Salnan Ratih Asriningtias; Myro Boyke Persijn
Jurnal Pengabdian Masyarakat Bestari Vol. 1 No. 8 (2022): November 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v1i8.1710

Abstract

The use of information technology is very important to support speed and ease in serving the community. However, at the village level there is still a shortage of specialized staff in the field of providing information technology-based applications. So, it is necessary to do community service in the form of technical guidance to take advantage of the use of applications such as Google workspace. Google workspace makes it very easy to manage data and information management. The data collection process is carried out using the Google form, data processing uses Google sheets, and administrative work can use the collaboration feature on Google Docs. This community service program is intended to explore Google workspace facilities, in creating data visualization dashboards using Google Data Studio. Villagers can monitor the movement of data in real-time against input from the Google form in the form of interactive graphics so that it can be used as a basis for making decisions more quickly.
Penerapan Sistem Pendukung Keputusan dalam Penerimaan Pengajar Desain Grafis Menerapkan Metode Preference Selection Index (PSI) Ben Rahman; Irene Hasian; Nofri Yudi Arifin; Jeperson Hutahaean; Rachmad Andri Atmoko
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6099

Abstract

Graphic design teacher is one of the teachers who is really needed in various schools or universities, because graphic design is really needed to provide knowledge that can be used to get jobs according to abilities. However, in accepting graphic design instructors, they must really master the field of design and have a lot of experience in teaching that field. In this research, several criteria are needed including Education, Experience, Creative, Innovative, and Communicative. So with that the criterion data can support this research in solving problems and getting accurate and detailed results. And this research really needs a supporting system to solve this research. The system is a Decision Support System (DSS) and the method used to produce an appropriate ranking, this method is the Preference Selection Index (PSI). So the application of this method can produce the highest rank that will be accepted as a graphic design teacher on behalf of Putra Andiyono with a total score of 1.0331.