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Record W4403110200 · doi:10.47467/alkharaj.v6i10.2921

Analisis Pengaruh Kualitas Pelayanan dan Kualitas Produk Terhadap Kepuasan Pelanggan di Resto Kita Karawang

2024· article· en· W4403110200 on OpenAlexaff
Dini Oktaviani, Puji Isyanto, Neni Sumarni

Bibliographic record

VenueAl-Kharaj Jurnal Ekonomi Keuangan & Bisnis Syariah · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployee Performance and Motivation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationBusiness

Abstract

fetched live from OpenAlex

The aim of the research was to obtain an in-depth understanding of the influence of service quality and product quality on the level of customer satisfaction at Resto Kita Karawang. This research uses quantitative methods in its research methodology. Using a questionnaire to collect and analyze data from customers who meet the criteria of having made at least two purchases from Resto Kita Karawang. And involving 96 respondents as research samples selected through a purposive sampling method. The analysis was carried out using multiple linear regression analysis. The results of the research show that customer satisfaction is influenced by service quality and product quality at Resto Kita Karawang. These results can be understood from the calculations that have been carried out which show that the variables of service quality and product quality have great value in customer satisfaction. Resto Kita Karawang needs to focus on improving its quality and maintaining this quality to strengthen customer satisfaction. There are implications that by always being consistent in maintaining customer satisfaction and always maintaining quality, it can create a high sense of loyalty.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.025
GPT teacher head0.263
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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