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Record W3179256623

Analisis Pengaruh Psikologis Konsumen Terhadap Keputusan Pembelian Smartphone OPPO

2021· article· id· W3179256623 on OpenAlexaff
Fadiyah Fadiyah, Saptani Rahayu

Bibliographic record

VenueKELOLA · 2021
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsPsychologyHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini adalah untuk mengetahui Analisis Pengaruh Psikologis Konsumen Terhadap Keputusan Pembelian Smartphone Oppo (Studi Kasus Di Toko Handoko Cell Karanganyar). Penelitian ini menggunakan metode pengambilan data secara primer yaitu menyebar kuesioner dimana populasi dalam penelitian ini adalah pengguna/ konsumen Smartphone Oppo di Toko Handoko Cell Karanganyar. Teknik pengambilan sampel dalam penelitian ini menggunakan teknik simple random sampling dengan jumlah populasi sebanyak 502 dan diambil sampel 100 responden. Dari hasil pengujian validitas dan reliabilitas data menunjukkan bahwa seluruh item pertanyaan yang diajukan terbukti valid dan reliabel. Hasil persamaan regresi linier berganda variabel motivasi pembelian, persepsi kualitas dan sikap terhadap merek, berpengaruh positif terhadap keputusan pembelian, Hasil uji t menunjukkan bahwa variabel motivasi pembelian, persepsi kualitas dan sikap terhadap merek secara parsial berbengaruh signifikan terhadap keputusan pembelian . Hasil uji F menunjukkan variabel motivasi pembelian, persepsi kualitas dan sikap terhadap merek secara simultan berpengaruh signifikan terhadap keputusan pembelian. Hasil koefisien determinasi (R 2) menunjukkan bahwa nilai Adjusted R square sebesar 0,663yang berarti keputusan pembelian Smartphone Oppo mampu dijelaskan dengan variabel motivasi pembelian, persepsi kualitas dan sikap terhadap merek sebesar 66,3% dan sisanya 33,7% dijelaskan oleh variabel lain diluar penelitian.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.003

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 head0.247
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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