PENGARUH KUALITAS PELAYANAN KESEHATAN TERHADAP KEPUASAN PASIEN PUSKESMAS KECAMATAN PANCA RIJANG KABUPATEN SIDENRENG RAPPANG
Bibliographic record
Abstract
This study aims to determine the Health Service Quality of Panca Rijang Health Center, Sidenreng Rappang and to out the Patient Statisfaction of Panca Rijang Health Center in Sidenreng Rappang and the Effect of Quality of Health Service on Patient Satisfaction in Panca Rijang Health Center, Sidenreng Rappang. The population of this study was all outpatient referral patients and outpatient visit at the Panca Rijang District Public Health Center, namely 2114 people. The sample used by researchers was 95.48 or 95 respondents, taken based on insedental sampling techniques. This type of research is descriptive qualitative. Data collection techniques used in this study are observation, questionnaire, interview and library study. The collected data is then used by means of data analysis techniques, using SPSS 16.0 for Windows and the Likert Scale. The results of this study indicate that the quality of health service at the subdistrict health center in the five district of Panca Rijang district Sidenreng Rappang with a recapitulation of 58,12% categorized as not good. Satisfaction of patiens in the district health center Panca Rijang regency Sidenreng Rappang with a recapitulation of 63,2% categorized as good, however, it is know that there is a problem with the location indicator 60,4% facility 57%, image 60%. Effect of Quality of Health Service on Patienst Satisfaction in Panca Rijang District Health Center, Sidenreng Rappang Districtwith a value of thitung ≥ ttabel 1.740 ≥ 1.661, then Ho is rejected and Ha is accepted, meaning that it is significant.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".