Clustering Tourist Destinations Based on Number of Visitors Using the K-Mean Method

DOI

10.2991/assehr.k.200303.075How to use a DOI?

Keywords

tourist, destinations, K-Mean Method

Abstract

The office door is the main access to enter the office in a company. Currently the office door generally still uses the key to be able to unlock the office door that has weak security. The authors will make the office door that integrated by a computer system that can unlock the office door using the registered faces in the system. The series of these tools use the camera to take a picture of the face and then sent it to the raspberry pi as the brain or the process tool to verification face, which will turn the face image into data information and make the decision to take action. After that solenoid will open after receiving the appropriate data from the raspberry pi. This tool becomes essential in helping employees to unlock the office door, so no need difficult to find the key to unlock the office door.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Eka Mala Sari Rochman
AU  - Aeri Rachmad
PY  - 2020
DA  - 2020/03/06
TI  - Clustering Tourist Destinations Based on Number of Visitors Using the K-Mean Method
BT  - Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)
PB  - Atlantis Press
SP  - 312
EP  - 314
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200303.075
DO  - 10.2991/assehr.k.200303.075
ID  - Rochman2020
ER  -