Meningkatkan Keterampilan Menulis Karangan Deskripsi Siswa dengan Menggunakan Media Gambar di Kelas X IPA SMAN 4 Sampang
Abstract
Gambar merupakan salah satu media pembelajaran yang digunakan peneliti untuk meningkatkan kemampuan keterampilan menulis karangan deskripsi siswa. Penelitian ini bertujuan untuk mengukur bagaimana media gambar dapat meningkatkan kemampuan keterampilan menulis karangan deskripsi siswa. Jenis penelitian ini merupakan jenis penelitian tindakan kelas yang mencakup tahap perencanaan, tahap implementasi, tahap observasi, dan tahap refleksi. Data diambil melalui rubrik penilaian menulis karangan deskripsi, kuesioner, dan ceklis observasi. Data diperoleh melalui pre-study, siklus 1, dan siklus 2. Pada tahap pre-study, banyak siswa yang mengalami kesulitan memulai dan mengembangkan idenya sehingga mereka kurang minat untuk menulis karangan deskripsi. Disamping itu, peneliti juga menemukan hanya 10 siswa yang mencapai nilai KKM (≥76) atau 31% persentase sukses. Sedangkan pada siklus kesatu, peneliti menemukan 21 siswa yang mencapai nilai KKM (≥76) atau 66% persentase sukses. Berdasarkan temuan pada siklus kesatu, peneliti dan guru kelas merevisi pembelajaran dengan menambahkan strategi pembelajaran menulis karangan deskripsi dengan bantuan media gambar. Pada siklus kedua, peneliti menemukan 27 siswa yang mencapai nilai KKM (≥76) atau 84% persentase sukses. Peneliti dan guru kelas juga menemukan bahwa siswa memberikan respon yang lebih baik daripada sebelumnya, banyak siswa termotivasi untuk aktif di kelas sehingga mereka memiliki sikap percaya diri menulis karangan deskripsi. Dari hasil penelitian diatas menunjukkan bahwa penggunaan media gambar dapat meningkatkan keterampilan menulis karangan deskripsi siswa kelas X IPA SMAN 4 Sampang.
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.
