PENGARUH MOTIVASI DAN KEPUASAN KERJA TERHADAP KINERJA KARYAWAN HOTEL KELAS MELATI DI SUMEDANG
Bibliographic record
Abstract
Indication of a decrease in employee performance as evidenced by the inaccuracy of the time for completion of work by the employee. There are still some employees who find it difficult to overcome all wishes and guests and to be able to complete work on time. In the Regulation of the Minister of Tourism and Creative Economy of the Republic of Indonesia Number PM.53 / HM.001 / MPEK / 2013 concerning Hotel Business Standards Chapter II Hotel Business Article 4 Paragraph (4) describes Non-Star Hotels as referred to in paragraph (2) letter b, does not has a classification of hotel class and can be called a jasmine hotel. The purpose of this research is to determine how much influence motivation and job satisfaction have on employee performance at hotels in Sumedang Regency. The research method in this research uses quantitative methods or better known as survey research. The results showed that to improve employee performance required compensation, career development through education and training, environmental management and additional work support facilities and infrastructure for employees. The author's suggestion is that there is a need for pension guarantees for employees of jasmine hotel in Sumedang Regency, improving hotel facilities and maintaining consistency of the leadership in conducting supervision, providing additional income for employees who carry out additional tasks outside of working hours.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".