[no title]
Bibliographic record
Abstract
Taman Anggrek terletak di Kampung Tidar Campur, Kelurahan Tidar Selatan, Magelang Selatan. Taman ini seharusnya menjadi alternative wisata edukasi bagimasyakarat Kota Magelang. Namun dalam pengelolaannya, Taman Anggrek masih banyak memiliki keterbatasan baik Sumber Daya Manusia maupun kondisi sarana dan prasarananya sehingga keberadaan Taman Anggrek kurang maksimal. Tujuan dari pengabdian ini adalah untuk meningkatkan pengelolaan Taman Anggrek dalam hal administrasi keuangan dan meningkatkan jumlah pengunjung dengan menggunakan media pemasaran online. Metode yang digunakan untuk peningkatan kemampuan administrasi keuangan adalah pelatihan dan pendampingan kepada pengelola. Sedangkan pemarasan online dilakukan secara langsung melalui praktek pamasaran online. Hasilnyaberupa kemampuan administrasi keuangan bagi pengelola, lokasi Taman Anggrek yang lebihrapi dan bersih, hasil penjualan tanaman anggrek meningkat, dan jumlah mengunjung yang semakin banyak. Kata Kunci: Tanaman Anggrek, Pengelolaan Keuangan, Pemasaran online, Magelang  
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.017 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".