Daffa Andika Zain, . (2024) PERANCANGAN APLIKASI PREDIKSI TINGKAT STRES AKADEMIK MAHASISWA PADA MASA PERKULIAHAN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The amount of competition in the current era of information development makes many campuses set high academic standards, which often makes students experience stress in their lectures. An increase in the amount of academic stress can reduce academic abilities that affect the achievement index, decrease concentration, and can trigger other bad behaviors. The purpose of this research is to design an application that implements a classification model using the K-Nearest Neighbor algorithm to predict the level of academic stress in FIK students based on the results of the Perceptions of Academic Stress Scale (PASS) instrument. The method in this research uses the K-Nearest Neighbor algorithm and waterfall method. Based on the results of the research, the design of a prediction application that implements the K-Nearest Neighbor algorithm classification model has succeeded in identifying the academic stress level of students with an accuracy value of 88% and the PASS instrument can be applied to create a classification model for measuring academic stress levels in FIK students with stress level categories namely mild category 37, moderate category 161, severe category 27.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512030] [Pembimbing 1: Iin Ernawati] [Pembimbing 2: Muhammad Adrezo] [Penguji 1: Kraugusteeliana] [Penguji 2: Rio Wirawan] |
| Uncontrolled Keywords: | Stress Level, PASS, Prediction Application, K-Nearest Neighbor Algorithm, Waterfall |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | DAFFA ANDIKA ZAIN |
| Date Deposited: | 13 Sep 2024 06:41 |
| Last Modified: | 13 Sep 2024 06:41 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31953 |
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