Design of an Integrated System of Psychological Health Education Resources for Vocational Students Using Fuzzy Clustering Algorithm Analysis

Abstract

Mental health is an important part of the growth of students. Many mental health monitoring systems have many problems. When the resource capacity is large, traditional systems have problems such as poor stability, more resource fragments, and untimely system response. For this reason, this paper designs a system of mental health education resource integration for higher vocational students based on a fuzzy clustering algorithm. It builds the overall system architecture based on the SOA service architecture and designs each functional module of the system so that the system has the functions of teaching resource submission, resource audit management, user service, and resource storage. The density function method is used to initialize the initial resource clustering center to obtain the data clustering objective function, and the fuzzy clustering algorithm is used to establish the task model to realize the integration of the mental health education resources of the vocational students. System verification results show that the system has strong stability, fewer node resource fragments, and higher resource integration efficiency.

Pelatihan Kader Sekolah Sehat Jiwa (SEHATI) dalam Deteksi Dini Kesehatan Jiwa di SMA

“…Sekolah sebagai tempat yang vital dan rumah kedua maka harus memberikan kenyamanan sehingga siswa berada dalam situasi pembelajaran yang aman dan nyaman sehingga siswa juga dapat mengendalikan emosi negatif dalam diri siswa dengan tujuan menghindari gangguan mental pada siswa (Colizzi et al, 2020;Pedrelli et al, 2015;Rezapour et al, 2022;Tindall et al, 2021). Di sekolah juga terjadi pertumbuhan dan perkembangan yang maksimal bagi siswa termasuk kesehatan jiwa (Wang, 2021). Kesehatan jiwa bukan hanya ketiadaan penyakit mental melainkan suatu keadaan sejahtera dimana seseorang dapat memenuhi prestasi belajar, IJCSL P-ISSN: 2579 -7166 E-ISSN: 2549-6417 mengatasi tekanan normal kehidupan dan berfungsi secara produktif serta mampu membina hubungan dengan komunitas teman sebaya (Fusar-Poli et al, 2020;Galderisi et al, 2015;Ruggeri et al, 2020).…”

Fuzzy clustering algorithm for university students' psychological fitness and performance detection

“…As a result, the fuzzy clustering analysis and data prediction ability of optimized psychiatry/mental health data are obviously improved [ 19 ]. Furthermore, the linguistic variables involved are few and useful in making rules to enhance students' performance [ 20 ].…”

Retracted: Design of an Integrated System of Psychological Health Education Resources for Vocational Students Using Fuzzy Clustering Algorithm Analysis

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”