FAKTOR-FAKTOR YANG MEMENGARUHI KINERJA USAHA WANITA WIRAUSAHA PADA INDUSTRI MAKANAN RINGAN DI PROVINSI SUMATERA BARAT
Bibliographic record
Abstract
Women entrepreneurs as the family support unit that plays a role in increasing the family income, has a performance which is still low compared to male entrepreneurs. The purpose of this study was to analyze (1) the profile of women entrepreneurs and snack food industry; (2) the influence of personal characteristics, internal and external business environment, as well as entrepreneurial behavior to business performance of women entrepreneurs. This study used survey method that conducted in Limapuluh Kota Regency and Payakumbuh City. Structural Equation Modeling (SEM) was used for descriptive and quantitative analysis. The respondents used were 105 women entrepreneurs. The results showed that: (1) women entrepreneurs engaged in the snack food industry in West Sumatera in general are in the productive age above 40 years, the business managed by women entrepreneurs in general is still relatively small business with income average of Rp1.687.000 per week; (2) the personal characteristics, internal environment of business, external environment of business, and the entrepreneurial behaviour has positive and significant influence to business performance. The most dominant personal characteristics which influence the business performance were education and family background, the most dominant internal environment which influence business performance was financial aspect, the most dominant external environment which influence business performance was marketing and the most dominant entrepreneurial behavior influences the business performance was innovation. Women entrepreneurs were encouraged to improve human resources and risk taking by borrowing capital to develop the business.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".