TINKAT DALAM LANJUT KELAYAKAN DALAM BISNIS PERENCANAAN CAFÉ KULINER DI SURABAYA
Bibliographic record
Abstract
Usaha yang semakin berkembang menjadi satu alasan untuk memperoleh ramalan (forecasting) dalam rencana mewujudkan kegiatan bisnis skala kecil yang akan dibangun di tengah kota Surabaya, apakah investasi pada pendirian usaha ini layak untuk dilaksanakan dan dalam jangka waktu berapa lama usaha depot ini dapat mengembalikan investasinya. Untuk itu perlu dilakukannya suatu penelitian tentang studi kelayakan bisnis yang akan ditinjau dari berbagai aspek yang terkait. Usaha ini merupakan suatu konsep usaha perorangan yang berencana menjual makanan khas dengan menu khas Indonesia, dalam rencana pendirian proyek dengan pengembangan menu yang lebih spesifik dan bertujuan untuk memperkuat citra café dalam upaya memperoleh keunggulan kompetitif dari para pesaing disekitar tengah kota.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".