Perencanaan keuangan keluarga David pada reksadana Seruni pasar uang, asuransi Manulife, tabungan tahapan Bank Central Asia, deposito Bank NISP, deposito Bank LIPPO dan deposito Bank Internasional Indonesia
Bibliographic record
Abstract
Studi kasus ini membahas mengenai perencanaan keuangan keluarga Bapak David dengan tujuan untuk membantu dalam mencapai tujuan-tujuan yang diinginkan. Keluarga David memiliki beberapa tujuan hidup yang ingin dicapainya di masa yang akan datang yaitu perencanaan proteksi, perencanaan pendidikan S1 dan S2 bagi putra bungsunya, perencanaan dana pensiun, perencanaan dana pernikahan dan perencanaan dana wisata. Untuk pengalokasian dana darurat digunakan produk Tabungan Tahapan Bank Central Asia, Deposito Bank NISP dan Reksadana Seruni Pasar Uang. Untuk perencanaan proteksi bagi Bapak David akan digunakan produk dari Asuransi Manulife. Untuk perencanaan pendidikan bagi putra bungsunya digunakan produk Deposito Bank NISP dan Reksadana Seruni Pasar Uang. Untuk perencanaan dana pensiun digunakan Deposito Bank Lippo dan Reksadana Seruni Pasar Uang. Untuk perencanaan dana pernikahan digunakan produk Deposito Bank Internasional Indonesia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.013 |
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".