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Differences in Students' Truancy in Terms of Gender and Age Nurawinata, Harry; Wibowo, Mungin Eddy; Awalya, Awalya
Jurnal Bimbingan Konseling Vol 11 No 2 (2022): Regular Issue
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jubk.v12i4.77396

Abstract

Truancy is a situation in which students violate the rules and regulations at school. Based on this background, the present study investigated 3 vocational schools in Rembang Regency. It aimed at determining differences in truancy in terms of gender, determining truancy in terms of age, and determining school, personal and family factors underlying this violation. To do so, the cross-sectional design was employed. The cluster technique divided the population into sub groups, where the sub groups consisting of the same elements in 248 samples. Following the grouping, the samples data were collected using a truancy scale. Then, the Microsoft excel software was used to generate the respondents’ characteristics. Based on the chi square test, there were differences in truancy between gender and age.
Gambaran Perilaku Terlambat Peserta Didik SMK Negeri 4 Semarang Nurawinata, Harry; Yuliejantiningsih, Yovitha
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11085

Abstract

Perilaku terlambat merupakan suatu kondisi kurang disiplin tiba di sekolah setelah jam masuk sekolah dimulai. Penelitian ini dilakukan pada peserta didik kelas 11 SMK Negeri 4 Semarang. Penelitian ini digunakan untuk mengetahui gambaran tingkat perilaku terlambat ke sekolah. Penelitian ini menggunakan kuantitatif deskriptif yang memberi gambaran yang lebih detail mengenai suatu gejala atau fenomena dan bertujuan menggambarkan mekanisme sebuah proses serta menghasilkan serangkaian kategori. Pengumpulan data menggunakan skala perilaku terlambat ke sekolah. Metode analisis dihitung dengan excel. Hasil penelitian dari 221 peserta didik terdapat 28 (12,67%)  klasifikasi perilaku terlambat tinggi, 180 (81,44%)  klasifikasi perilaku terlambat sedang, dan ada 13  (5,89%) yang termasuk dalam klasifikasi perilaku terlambat rendah.