Representasi Ideologi Islam dalam Cerita Pendek: Analisis Semiotika
Bibliographic record
Abstract
AbstrakPenelitian ini menganalisis cerpen berjudul Jaring-jaring Merah sebagai wacana yang dikonstruksikan oleh penulis ceritanya, Helvy Tiana Rosa. Tujuan penelitian ini adalah untuk mengetahui tanda-tanda yang digunakan Helvy Tiana Rosa dalam mewakili pesan ideologi Islam pada cerpennya. Peneliti menggunakan metode interpretif dengan pendekatan kualitatif dan alat analisis semiotika dari Roland Barthes. Hasil penelitian menúnjukkan bahwa pada teks ditemukan beberapa tanda yang digunakan untuk mewakili ideologi Islam. Ideologi Islam yang mendominasi cerpen ini merepresentasikan tentang keadilan, akhlak perempuan muslim, dan persaudaraan umat Islam. Selain itu, terdapat perspektif fundamentalisme -untuk membedakannya dengan liberalisme- yang dilatarbelakangi oleh dua peristiwa sosial penting, yaitu runtuhnya pemerintahan Orde Baru dan pencabutan status Aceh sebagai Daerah Operasi Militer (DOM). Kedua peristiwa tersebut mendorong Helvy Tiana Rosa selaku pengarang, memunculkan wacana tandingan terhadap hegemoni wacana pada masa itu. Sehingga, pesan yang ditonjolkan memiliki kecenderungan dan pola yang berpihak kepada kaum tertindas. Kata kunci: Akhlak, Ideologi, Islam, Keadilan, Semiotika AbstractThis study analyzed the short story titled Red Nets as a discourse constructed by the author of the story, Helvy Tiana Rosa. The purpose of this study is to determine the signs used Helvy Tiana Rosa in representing the message of Islamic ideology in the short story. Researchers use interpretive methods with qualitative approach and semiotics analysis tools from Roland Barthes. The results showed that the text found several signs used to represent the ideology of Islam. Islamic ideology that dominates this short story represents about justice, morality of Muslim women, and the brotherhood of Muslims. In addition, there is a fundamentalist perspective - to distinguish it from liberalism - underpinned by two important social events, namely the collapse of the New Order government and the abrogation of the status of Aceh as a Military Operation Area (DOM). Both events encouraged Helvy Tiana Rosa as the author, bringing counter discourse to the hegemony of discourse at that time. Thus, the message highlighted has a tendency and pattern that stands for the oppressed.Keyword: Akhlak, Ideology, Islam, Justice, Semiotics
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".