Abstract
Aggression behavior among high school students or teenagers is still often found, for example: brawls, bullying. A person will behave aggressively so he will think first in acting so that he is able to manage himself (self management).The purpose of the study was to determine the relationship between self management and aggression behavior in high school students. This study uses a quantitative non-experimental approach. The subjects were 217 students of class X and XI SMA taken by stratified sampling technique. The research instrument uses the scale of aggression behavior and self management scale. The method of data analysis was the product moment correlation. Data analysis was carried out with the help of SPSS version 22.0. The results showed a value (r) of -0.122 with p was 0.037 <0.05. This shows that there is a significant negative relationship between self management and aggression behavior in high school students. The contribution of self management to aggression behavior is 1,5% (=0.015)
Highlights
Remaja seringkali dikenal dengan proses pencarian identitas diri, dimana mereka ingin menemukan dan menunjukkan siapa dirinya agar mendapatkan pengakuan dari teman-teman dan lingkungan sosialnya
Mulai dari rentang usia 6– 12 tahun sebanyak 268 anak (9%), serta anak berusia 16–18 tahun sebanyak 829 anak (91%)
Mayoritas pelaku tindak kejahatan didominasi oleh anak laki-laki sebanyak 2.627 anak (91%) dan anak perempuan sebanyak 252 anak (9%) (Tempo, 2014)
Summary
Berdasarkan uji validitas dan reliabilitas dari hasil try out yang telah dilakukan sebanyak 60 subjek anak SMA kelas X dan XI di Kota Malang dan Bojonegoro dilakukan secara online menggunakan program google formulir, diperoleh alat ukur self management dari 14 item, terdapat 6 item yang tidak valid sehingga tersisa 8 item valid dari hasil uji coba. Yaitu tahap analisa data pada analisa data meliputi penginputan dan pengolahan data dari kuesioner yang telah disebar, data-data tersebut kemudian diolah menggunakan teknik analisis uji korelasi product moment untuk mengetahui korelasi antar dua variabel yang diteliti, serta untuk melakukan analisis dan eISSN 2685-8428 2019, Vol 7, No 3, 308-320 interpretasi data, dibantu dengan menggunakan aplikasi IBM SPSS for windows version 22. Kemudian data yang didapatkan akan dijelaskan berdasarkan teori serta penjelasan tersebut dapat disimpulkan oleh peneliti
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
