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Record W4410092322 · doi:10.29138/jkis.v3i2.69

Pengaruh Personal selling, Kualitas Produk Dan Harga Terhadap Keputusan Pembelian Produk CV. Sinar Mentari Indonesia Di Blitar

2025· article· id· W4410092322 on OpenAlexaff
Moh Ali Imron, Joko Suyono, Emiliya Rahma Wati, Aldrin Arizona, Damarsari Ratnasahara Elisabeth

Bibliographic record

VenueJurnal Kompetensi Ilmu Sosial · 2025
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini adalah untuk menganalisa pengaruh personal selling, kualitas produki dan harga terhadap keputusan pembelian produk CV. Sinar Mentari Indonesia di Blitar. Sampel dalam penelitian ini adalah pelanggan CV. Sinar Mentari Indonesia di Blitar berjumlah 58 orang. Teknik pengumpulan data menggunakan kuesioner, sedangkan teknik analisa data menggunakan regresi linier berganda. Hasil penelitian membuktian bahwa personal selling dan kualitas produk berpengaruh secara parsial dan simultan terhadap keputusan pembelian produk CV. Sinar Mentari Indonesia di Blitar. Secara parsial harga tidak berpengaruh terhadap keputusan pembelian produk CV. Sinar Mentari Indonesia di Blitar, tetapi secara simultan harga berpengaruh keputusan pembelian produk CV. Sinar Mentari Indonesia di Blitar. Di antara ketiga variabel tersebut, kualitas produk memiliki pengaruh dominan terhadap keputusan pembelian produk CV. Sinar Mentari Indonesia di Blitar.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0870.020

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 head0.015
GPT teacher head0.249
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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