Manajemen Komunikasi Program Multietnis di Radio Kardopa 99,4 Fm Dalam Menarik Minat Pendengar
Bibliographic record
Abstract
Perkembang teknologi yang semakin cangih dan mudah di akses dimana saja membat media massa lama seperti radio harus eksra mengikuti perkembangan teknologi – teknologi saat ini. Menyebabkan radio dalam mempertahankan eksistensi nya dan membuat program-program yang di senangi masyarakat agar pendengar akan tetap mau mendengarkan radio. Penelitian ini bertujuan melihat sejauhmana perkembangan manajemen komunikasi di Radio Kardopa dalam menarik minat pendengar. Penelitian ini menggunakan pendekatan metode penelitian deskriptif kualitatif dan ini memfokuskan kepada manajemen komunikasi sebagaimana yang ada pada saat pada penelitiam ini berlangsung. Teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. Setelah melakukan peneletian manajemen komunikasi dalam program multiEtnis tersebut mendapatkan Radio Kardopa menggunakan POAC, Planning (perencanaan), Organizing (produksi), Actuatting (pelaksanaan) dan Controlling(pengawasan dan evaluasi). Dengan cara ini Radio Kardopa bisa mengatur eksitensi dan menarik minat pendengar dari program multietnis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".