Pengaruh Kemampuan Spasial Terhadap Kemampuan Geometri Pada Peserta Didik Kelas VIII SMP Swasta Di Kecamatan Kebomas Gresik
Abstract
Atas dasar permasalahan yang ditemukan di SMP swasta maupun negeri di kecamatan kebomas bahwa masih banyak peserta didik yang sulit dalam menyelesaikan soal matematika terutama pada materi geometri. Berdasarkan sudut pandang psikologi, geometri merupakan penyajian abstraksi dari pengalaman visual dan spasial, oleh karena itu, kemampuan spasial sangat berperan penting dalam pembelajaran tentang geometri ini. Tujuan penelitian ini adalah untuk mengetahui pengaruh kemampuan spasial terhadap kemampuan geometri. Sampel penelitian adalah siswa kelas VIII di Kecamatan Kebomas yang berjumlah 78 siswa. Sampel pada penelitian ini menggunakan teknik proporsional simple random sampling. Metode penelitian yang digunakan yaitu metode tes dengan melakukan 2 tes. Dari hasil uji F tersebut terlihat nilai pada kolom sig. yaitu 0,000 sehingga sig. < á, (á = 0,05). Maka H0 ditolak, artinya ada pengaruh antara kemampuan spasial terhadap kemampuan geometri pada taraf sig. 0,05. Persamaan regresi Y atas X: Y = 0,513+0,892 Xi . Tanda (+) pada koefisien X menunjukkan adanya pengaruh positif terhadap kenaikan Y, artinya untuk kenaikan satu satuan nilai tes kemampuan spasial maka akan menaikkan nilai tes kemampuan geometri sebesar 0.892. Koefisien korelasi R = 0.910, termasuk korelasi kuat. Berdasarkan koefisien korelasi tersebut, maka koefisien determinasi : R2= 0.829 (Tabel Model Summary), artinya : sekitar 83 % kemampuan spasial mempengaruhi kemampuan geometri, 17 % sisanya dipengaruhi oleh faktor lain yang tidak diteliti.
Downloads
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with DIDAKTIKA: Jurnal Pemikiran Pendidikan agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.
