PENDAFTARAN HAK TANGGUNGAN TERINTEGRASI SECARA ELEKTRONIK DI KANTOR PERTANAHAN KOTA DEPOK
Bibliographic record
Abstract
Hak Tanggungan Terintegrasi secara Elektronik (HT-el) adalah serangkaian proses pelayanan hak tanggungan dalam rangka pemeliharaan data pendaftaran tanah yang diselenggarakan melalui sistem elektronik yang terintegrasi, sebagaimana diatur dalam Peraturan Menteri Agraria dan Tata Ruang/Kepala Badan Pertanahan Nasional Nomor 5 Tahun 2020 tentang Pelayanan Hak Tanggungan Terintegrasi secara Elektronik (Permen ATR/Ka.BPN Nomor 5 Tahun 2020). Pendaftaran Hak Tanggungan elektronik di Kantor Pertanahan Kota Depok masih dalam tahap pengembangan namun implementasi pendaftaran Hak Tanggungan elektronik telah sesuai Permen ATR/Ka.BPN Nomor 5 Tahun 2020, mulai dari persiapan sampai dengan terbitnya Sertipikat Hak Tanggungan Elektronik (Sertipikat HT-el), hal ini dipengaruhi diantaranya komunikasi, sumber daya, disposisi dan struktur birokrasi. Kendala yang timbul diantaranya berasal dari faktor internal misalnya kesiapan Kantor Pertanahan Kota Depok serta kesiapan pembenahan data; sedangkan yang berasal dari faktor eksternal misalnya kesiapan SDM yakni PPAT serta Bank selaku pemohon sehingga proses berlangsungnya Hak Tanggungan Elektronik menjadi terlambat yang akan berpengaruh pada lahirnya Hak Tanggungan. Kedepannya semua kendala wajib dibenahi, meningkatkan verifikasi data serta mengadakan pembinaan intensif pada seluruh pihak terkait.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.014 |
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".