Analisis Cost Volume Profit untuk Perencanaan Laba pada Restoran Praline & Oregano
Bibliographic record
Abstract
This study aims to determine how the analysis of cost volume profit for profit planning Praline & Oregano Restaurants. The research methodology used in this study is a descriptive study by analyzing the financial statements of Praline & Oregano Restaurants with a time span of 2Q 2017 - 1Q 2019 using cost volume profit analysis. The results found that the highest contribution margin occurred in the category Other drinks which included Dilmah, ice tea, and mineral water and Fussion Bite food categories which included Acapulco Tori, Paneer Dori With Kuah Padeh, Crispy Yakitori, and Yummy Tandoori. This study also found that the Break Even Point of Praline & Oregano restaurants in each quarter from quarter 2 2017 to quarter 2 2019 was always achieved with a nominal range of Rp. 89,211,165 - Rp. 186,159,079 this happens because the sales generated are greater than the break-even sales. This study also found that the Margin Of Safety is known to experience a fluctuating increase in the ratio of 62-76% which indicates that the company always benefits. This study calculates Praline & Oregano's profit target will get a profit of Rp. 274,925,768 in the 3rd quarter of 2019.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".