Jurnal
New Student Drug Tests at College Using Principal Component Analysis Method
- Bagikan:
Drugs are substances or illegal drugs that can endanger human life.
Someone who consumes it in an inappropriate way will become
dependent and even result in death. The physical characteristics of
people who use drugs vary, but the more obvious characteristics are
on the faces of drug users such as red eyes, stiff facial muscles, dark
spots, pupils susceptible to light, sunken face shape, and dullness.
The lack of physical characteristics of drug users due to similarities
with other diseases makes it difficult for people to recognize them
initially. However, for users whose face data has been tracked by the
National Narcotics Agency, the facial data is stored in the dataset.
This research was conducted with the aim of building a system that
can detect and recognize prospective students whether they have ever
been included in drug users recorded in the National Narcotics
Agency dataset or not as one of the requirements for new student
admissions to universities. The system built using the Principal
Component Analysis method to process and extract images of the
physical characteristics of drug users through the facial image data of
drug users stored in the dataset. If the detected face has similarities
with the characteristics in the dataset, it is necessary to suspect that
the detected face is a drug user. The results of this study are the
system is able to detect the faces of drug users using the Principal
Component Analysis method with an accuracy of 90% and it is hoped
that with this research the system can be one solution in helping
universities as an identification effort to minimize drug use so that it
can be an additional identification tool which strengthens someone
detected using drugs.
Detail Information
| Item Type |
Jurnal
|
|---|---|
| Penulis |
Edwar Ali - Personal Name
Mardainis - Personal Name Agnes Chrisnalia - Personal Name Rahmiati - Personal Name |
| Student ID | |
| Dosen Pembimbing | |
| Penguji | |
| Kode Prodi PDDIKTI | |
| Edisi |
Published
|
| Departement | |
| Kontributor | |
| Bahasa |
English
|
| Penerbit | IT Journal Research and Development (ITJRD) : Pekanbaru., 2022 |
| Edisi |
Published
|
| Subyek | |
| No Panggil | |
| Copyright |
Universitas Islam Riau
|
| Doi |