Journal
Correlation Between Self-Regulation and Children’s Readiness to Enroll Primary School
Journal of Primary Education · Vol. 9 No. 2 (2020) · pp. 121–128
- ISSN
- 2502-4515, 2252-6404
- Published
- 2020-03-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This research aims to find out correlations of self-regulation to children’s readiness in enrolling primary school. This quantitative research used associative method. The population consisted 5,284 children aged 5-6 year old in Semarang municipal. The techniques of sampling used multistage random sampling. There were 220 children consisting of 110 male and 110 female children. The technique to collect the data was questionnaire in which the filling system was read aloud by the researcher as assistance. Self-regulation was measured by Head-Toes-Knees-Shoulders (HTKS) task. Meanwhile, the readiness was measured by readiness scale to enroll primary school. The hypothesis test used regression test. The results showed that tÂcount=1.847 > ttable =1.651. The sig score was 0.006<0.05. It meant there was correlation of self-regulation to children’s readiness to enroll primary school. Then, the effects of sex types as moderating variable with P = 0.709, larger than 0.05, showing that there was no difference in male self-regulation and female self-regulation to their readiness in enrolling primary school. Thus, it could be concluded that self-regulation influenced the children’s readiness to enroll primary school. However, both male and female children, they did not have significant difference. Thus, parents, teachers, and governments should cooperate in preparing children enrolling primary school level not only in term of children’s readiness aspect but also the external aspect, such as parents’ readiness and school readiness.
Collaboration network of the authors
40 authors · 138 co-authorship links · showing the 40 most connected
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- Universitas Mega Buana Palopo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Yudi Siswanto | Affiliation unknown | 4 |
| Rusdarti Rusdarti | Affiliation unknown | 4 |
| Joko Sutarto | Affiliation unknown | 4 |
| Tri Joko Raharjo | Affiliation unknown | 3 |
| Titi Prihatin | Affiliation unknown | 3 |
| Yuli Kurniawati Sugiyo Pranoto | Affiliation unknown | 3 |
| Amin Yusuf | Affiliation unknown | 3 |
| Farid Ahmadi | Affiliation unknown | 3 |
| Aisyah Durrotun Nafisah | Affiliation unknown | 3 |
| Ali Formen | Affiliation unknown | 3 |
| Sri Sularti Dewanti Handayani | Affiliation unknown | 3 |
| Abdul Malik | Universitas Mega Buana Palopo | 2 |
| Bagus Kisworo | Affiliation unknown | 2 |
| Fakhruddin Fakhruddin | Affiliation unknown | 2 |
| Diana Diana | Affiliation unknown | 2 |
| Sugiyo Sugiyo | Affiliation unknown | 2 |
| Sri Wardani | Affiliation unknown | 2 |
| Utsman Utsman | Affiliation unknown | 2 |
| Achmad Slamet | Affiliation unknown | 2 |
| Mulawarman Mulawarman | Affiliation unknown | 2 |
| Falakhul Auliya | Affiliation unknown | 2 |
| Diva Pramesti Putri | Affiliation unknown | 1 |
| Safira Arbella Aurell Urrofik | Affiliation unknown | 1 |
| Fadia Talia Salsabila Hervi | Affiliation unknown | 1 |
| Muarifuddin Muarifuddin | Affiliation unknown | 1 |
| Nanda Artyasta Dwi Pangestika | Affiliation unknown | 1 |
| Denta Septian Pamungkas | Affiliation unknown | 1 |
| Siti Rahmawati | Affiliation unknown | 1 |
| Bambang Subali | Affiliation unknown | 1 |
| Harianingsih Harianingsih | Affiliation unknown | 1 |
| Tri Joko Raharjo | Affiliation unknown | 1 |
| Lintang Markhamah Watianur Azizah | Affiliation unknown | 1 |
| Ella Elistiani | Affiliation unknown | 1 |
| Itsnaini Iflachatun Azkiya | Affiliation unknown | 1 |
| Ganeza Adien Marcella | Affiliation unknown | 1 |
| Isti Hidayah | Affiliation unknown | 1 |
| Luluk Elyana | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.