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Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO) Muhammad Abdul Hadi; Rian Ferdian; Lathifah Arief
CHIPSET Vol. 2 No. 01 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.374 KB) | DOI: 10.25077/chipset.2.01.33-40.2021

Abstract

The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. From the research, we achieve the mAP of 85.12% in which YOLOv4 tiny is used and the testing is done inside a room environment. In its application in detecting weapon in Raspberry Pi 4, the result is around 1.53 fps (frame per second), in which is accommodate to be implemented on, but with a very limited fps.
The Effect of Perceived Risk and Perceived Usefulness on Purchase Intention with Customer Attitude as a Mediation Variable (Survey of Tokopedia Consumers in Padang City) Muhammad Abdul Hadi; Eri Besra; Verinita
Enrichment : Journal of Management Vol. 12 No. 4 (2022): October: Management Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.459 KB) | DOI: 10.35335/enrichment.v12i4.754

Abstract

This study aims to analyze the effect of perceived risk and perceived usefulness on purchase intention with customer attitude as a mediating variable(Survey OnTokopedia consumers in the city of Padang). The type of research used in this research is explanatory research, with the research method being an explanatory survey that emphasizes quantitative methods. The sample is 170 consumers who shop online at Tokopedia in the city of Padang. The sampling technique is purposive sampling. The data analysis method used Structural Equation Modeling - Partial Least Square (SEM-PLS). The results showed that perceived risk had no significant effect on purchase intention. Perceived usefulness has no significant effect on purchase intention. Perceived risk has no significant effect on customer attitude. Perceived usefulness has a significant effect on customer attitude. Customer attitude has a significant effect on purchase intention. Perceived risk has no significant effect on purchase intention mediated by customer attitude. Perceived usefulness has a significant effect on purchase intention mediated by customer attitude.