Anatasya, A. Edeth Fuari
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Sistem Pendukung Keputusan untuk Penentuan Klasifikasi Status Hotel Asrul, Billy Eden William; Zuhriyah, Sitti; Anatasya, A. Edeth Fuari
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The Hotel industry is a key component of the tourism sector that is required to obtain business certification. This certification determines the star classification of a hotel. The determination of 1, 2, 3, 4, and 5-star classifications for hotels, particularly in the city of Makassar, involves the Tourism Business Certification Agency (LSUP) as the auditing body, the Makassar City Tourism Office as the regulatory body responsible for supervision and guidance, and the industry as the auditee. The conventional and manual processes for determining star ratings reduce the effectiveness and efficiency of audit implementation, as well as hinder the supervision of business certification by the Makassar City government.
Child Abduction Early Detection Based on Image Processing Using Human Bounding Box Height Ratio and Distance Comparison Muslim, Muslim; Suparno, I Wayan; Anatasya, A. Edeth Fuari; Wahyuningsih, Pujianti
Journal of Applied Informatics and Computing Vol. 10 No. 5 (2026): October 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i5.13843

Abstract

Child abduction is one of the most alarming social issues affecting communities worldwide. This study aims to develop an image-based child abduction detection and early warning system using a human object bounding box height ratio and distance comparison method. The proposed approach employs YOLOv8 object detection to identify adult and child human objects by analyzing and comparing the dimensions and spatial relationships of their bounding boxes. In this study, when two human objects are detected in close proximity and exhibit significantly different bounding box height ratios, the system classifies the situation as potentially suspicious, indicating a possible threat to a child playing in the monitored area. Consequently, the system generates an early warning notification and activates a buzzer alarm. Conversely, when one or more detected human objects are located at a relatively safe distance from each other, the system categorizes the condition as safe for the child. Experimental results demonstrate that the developed system is capable of providing early warnings when an adult approaches a child playing in a residential yard through both audible alarms and web-based notifications. Furthermore, parents or guardians can access information detected by the system, including anomaly records in the form of captured images and detailed information regarding the suspected perpetrator and the potential victim.