Pelatihan Teknik Pengumpulan Data Geografis Berbantuan Peta dan Citra pada Siswa SMA
Bibliographic record
Abstract
Pembelajaran penelitian-penelitian geografi merupakan salah satu goal pendidikan dalam Kurikulum 2013. Kompetensi yang harus dicapai siswa dalam materi ini adalah memahami langkah-langkah penelitian geografi, termasuk teknik-teknik pengumpulan data geografis. Karena itu, diperlukan pelatihan bagi siswa yang bertujuan untuk meningkatkan kemampuan siswa dalam memahami teknik pengumpulan data geografis. Kegiatan pelatihan menggunakan media peta dan citra. Luaran utama yang diharapkan dalam pengabdian ini adalah jurnal atau publikasi ilmiah. Mitra kegiatan pengabdian ini adalah siswa SMA YPK Diaspora Kotaraja dengan lokasi kegiatan di sekolah dan Kawasan Pantai Base-G, Kota Jayapura. Metode pelaksanaan kegiatan pengabdian dalam bentuk pelatihan. Kegiatan pelatihan dilaksanakan dalam bentuk pemberian materi, praktek interpretasi peta dan citra. Hasil kegiatan pengabdian menunjukkan bahwa siswa peserta pelatihan telah mampu mengumpulkan data geografis melalui interpretasi peta dan citra.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.018 |
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".