Laravel SAS-SV KNN

Simple Implementation for Classification of Gadget Addiction to Students Using SAS-SV with K-Nearest Neighbor Algorithm Method.

Preview

Form Result

Features

• Auth (for admin)
• Dashboard
• Import Dataset (.csv only)
• Submission (public access)

Todos

• CRUD
• SAS-SV and KNN Function
• Unit Test
• Import Dataset
• UI Form Submission and result
• UI Auth
• UI Dashboard

Project Requirements

• REQUIREMENTS

References

• Kwon M, Kim DJ, Cho H, Yang S (2013) The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents. PLOS ONE 8(12): e83558. https://doi.org/10.1371/journal.pone.0083558
• Kwon, Min; Kim, Dai-Jin; Cho, Hyun; Yang, Soo (2015). Appendix S1 - The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents. PLOS ONE. Dataset. https://doi.org/10.1371/journal.pone.0083558.s001
• Majid, B. a. M., Mubarak, A., & Lutfi, S. (2022). Classification of Device Addiction to Students Using SAS-SV with K-Nearest Neighbor Algorithm Method. Journal of Computer Engineering Electronics and Information Technology, 1(1), 39–50. https://doi.org/10.17509/coelite.v1i1.51616

Licanse

Copyright 2024 zeindevs

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

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