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Record W2959418548 · doi:10.33772/jsa.v2i2.7592

PREFERENSI KONSUMEN TELUR PUYUH DI KOTA KENDARI

2017· article· en· W2959418548 on OpenAlexfundno aff
Sani Wanti, Sitti Aida Adha Taridala, Takdir Saili, Budiyanto Budiyanto

Bibliographic record

VenueJurnal Sosio Agribisnis · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsnot available
FundersBitlis Eren ÜniversitesiUniversity of British ColumbiaNewcastle University
KeywordsQuailConjoint analysisPreferenceBusinessMarketingBiologyStatisticsMathematicsEcology

Abstract

fetched live from OpenAlex

The preference of quail egg’s consumer could be determined by measuring the consumer choice. This preference could illustrate the attribute of quail egg that could be produced by producer and accepted by consumer. The aims of this study were to analyze the attitude and behavior of the customer in case of buying quail egg, analyze the level of self interest and satisfaction of the customer to the quail egg attribute, and analyze the customer preference on a variety of the quail egg attributes. Data collected in Kendari, South East Sulawesi and were analyzed using Fishbein Multiattribute Attitude analysis, IPA analysis (Importance Performance Analysis), and Conjoint Analysis. The result of Fishbein Multiattribute Attitude Analysis indicated that the 61,91% consumers were fond of quail egg. In average, the acceptabiity of the customer to the quail egg was ‘quite good’ and the behavior of the customer was consistent but they to re-buy the quail egg. While the result of IPA analysis (Importance Performance Analysis) showed that the most important and the most satisfine attribute of quail egg for customer was colourful attribute. The result of Conjoint Analysis revealed that the preference of the quail egg customer in Kendari City was the quail egg with low price, seasonal availability, less than 10 gram in weight, colourful and unpacking. Keywords: quail egg; Fishbein; IPA; Conjoint analysis

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.236
Teacher spread0.199 · 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
Published2017
Admission routes1
Has abstractyes

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