Analisis Bimbingan Klasikal Menggunakan Pendekatan Deep Learning dalam Mencegah Stres Belajar pada Siswa Kelas VII A UPT SMPN 1 Makale

Saleppa, Elsya Stefanne (2026) Analisis Bimbingan Klasikal Menggunakan Pendekatan Deep Learning dalam Mencegah Stres Belajar pada Siswa Kelas VII A UPT SMPN 1 Makale. Scholar thesis, Institut Agama Kristen Negeri Toraja.

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Abstract

Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan layanan bimbingan klasikal dengan menggunakan pendekatan deep learning dalam mencegah stres belajar siswa di UPT SMPN 1 Makale, mengidentifikasi faktor-faktor penyebab stres belajar siswa, serta mengetahui dampak layanan yang diberikan terhadap stres belajar siswa. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian deskriptif. Informan dalam penelitian ini terdiri atas guru Bimbingan dan Konseling, guru mata pelajaran, dan siswa UPT SMPN 1 Makale. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi, sedangkan analisis data menggunakan model Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Keabsahan data diperoleh melalui triangulasi sumber dan triangulasi teknik. Hasil penelitian menunjukkan bahwa pelaksanaan layanan bimbingan klasikal dengan pendekatan deep learning dilaksanakan secara terencana, sesuai dengan tahapan pendekatan deep learning sehingga siswa dapat mengatasi stres dalam belajar sekalipun belum maksimal. Kata Kunci: Bimbingan Klasikal, pendekatan Deep Learning, Stres Belajar, Bimbingan dan Konseling. ABSTRACT This study aimed to describe the implementation of classical guidance services using the deep learning technique in addressing students’ learning stress at UPT SMPN 1 Makale, identify the factors causing students’ learning stress, and determine the impact of the services on students’ learning stress. This study employed a qualitative approach with a descriptive research design. The informants consisted of the guidance and counseling teacher, subject teachers, and students of UPT SMPN 1 Makale. Data were collected through observation, interviews, and documentation, while data analysis was conducted using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. Data validity was ensured through source triangulation and technique triangulation. The results showed that the implementation of classical guidance services using the deep learning technique was carried out systematically and in accordance with the stages of the deep learning approach, enabling students to cope with learning stress, although the results have not yet been fully optimal. Keywords: Classical Guidance, Deep Learning Technique, Learning Stress, Guidance and Counseling.

Item Type: Thesis (Scholar)
Subjects: L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools
Depositing User: am andarias m.
Date Deposited: 28 Jul 2026 03:55
Last Modified: 28 Jul 2026 03:55
URI: http://digilib-iakntoraja.ac.id/id/eprint/5452

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