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Record W2998197238 · doi:10.21274/an.2019.6.2.429-464

STRATEGI PEMASAR ISLAMI DALAM MENINGKATKAN EKONOMI PEDAGANG DI PASAR BARU PAITON PROBOLINGGO

2019· article· id· W2998197238 on OpenAlexaff
Fatih Ramdaniah

Bibliographic record

VenueAn-Nisbah Jurnal Ekonomi Syariah · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMarketingProduct (mathematics)Competition (biology)BusinessOpenness to experienceDocumentationService (business)Promotion (chess)Commerce

Abstract

fetched live from OpenAlex

The development and competition of the business world in the current era of globalization is getting higher. This study aims to determine the marketing strategies of basic food traders in the new market of Paiton. The method used is qualitative based on observation, interviews, and documentation. The results of the study showed that the marketing strategies carried out by nine basic necessities traders used several strategies, among others, (a) service strategies, not easily discouraged when experiencing losses or being lazy when they made large profits; (b) product strategy, the accuracy of the opening time and checking the speed of serving the buyer can affect the reduction in income; (c) price strategy, price openness is needed in trading, so that the product (bargaining) process can be mutually beneficial; (d) promotion strategies, where traders approach emotionally to foster consumer trust, while fostering a high social life. Nevertheless, there are some deviations in marketing practices, such as the presence of elements of gharar or obscurity, the element of coercion and selling merchandise below market prices.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.278
Teacher spread0.253 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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