Pengaruh Kualitas Pelayanan Terhadap Kepuasan Masyarakat Pada Dinas Penanaman Modal Dan Pelayanan Terpadu Satu Pintu Kabupaten Barito Kuala
Bibliographic record
Abstract
This study aims to analyze the effect of service quality on community satisfaction at the Investment and One-Stop Integrated Service Office of Barito Kuala Regency. Using a descriptive quantitative approach with 50 respondents, data were analyzed through multiple linear regression with SPSS 23. The results indicate that service quality dimensions - responsiveness (X1), assurance (X2), tangible (X3), empathy (X4), and reliability (X5) - collectively have a significant effect on community satisfaction (Y). Partial testing revealed that responsiveness, assurance, tangible, and reliability significantly influence satisfaction, while empathy showed no significant effect. Among all variables, reliability (X5) emerged as the most dominant factor affecting community satisfaction. These findings highlight the critical importance of enhancing service reliability as a primary strategy to improve public satisfaction with government services. ABSTRAK Penelitian ini bertujuan untuk menganalisis pengaruh kualitas pelayanan terhadap kepuasan masyarakat di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kabupaten Barito Kuala. Dengan pendekatan kuantitatif deskriptif, penelitian menggunakan sampel 50 responden dan dianalisis melalui regresi linier berganda dengan SPSS 23. Hasil penelitian menunjukkan bahwa kualitas pelayanan yang meliputi responsiveness (X1), assurance (X2), tangible (X3), empathy (X4), dan reliability (X5) berpengaruh signifikan secara simultan terhadap kepuasan masyarakat (Y). Secara parsial, responsiveness, assurance, tangible, dan reliability berpengaruh positif dan signifikan, sementara empathy tidak signifikan. Di antara semua variabel, reliability (X5) terbukti paling dominan mempengaruhi kepuasan masyarakat. Temuan ini menegaskan pentingnya meningkatkan keandalan pelayanan sebagai prioritas utama untuk meningkatkan kepuasan masyarakat.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".