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Record W4255942782 · doi:10.23960/jiia.v8i1.4344

TINGKAT KEPUASAN ANGGOTA DAN FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PARTISIPASI ANGGOTA KUD MINA JAYA KECAMATAN BUMI WARAS DI KOTA BANDAR LAMPUNG

2020· article· en· W4255942782 on OpenAlexaff
Rahmawati Handayani, Dyah Aring Hepiana Lestari, Ktut Murniati

Bibliographic record

VenueJurnal Ilmu-Ilmu Agribisnis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsAgribrands Purina (Canada)
Fundersnot available
KeywordsBusinessPurchasingChristian ministryUnit (ring theory)Business administrationMarketingPsychologyManagementPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

This research aims to analyze the level of satisfaction members, and the factors that affect on the level of participation members of KUD Mina Jaya in Bumi Waras subsdistrict of Bandar Lampung City. This research is condutedby survey method. Respondents of this research consist of fishermen (ship owner, sailor, ship crew, and ship machine) and nonfisherman (fish merchant). The research respondents constitutes of 87 people, consist of 68 fishermen and 19 nonfisherman and the research data is colledcted inJanuary to May 2017. The results of this research showed that the satisfaction felt by members of the inner ministry RAT, mandatory savings, and utilization of business unit services in categories “satisfied”. Based on the results of IPA, the main priority attributes were sufficient physical infrastructure, staff support, and availability of information boards. The age, length of membership, gender, jobs, and member’s satisfaction of cooperation services were positively correlated to the level of member participation of RAT attending. The length of membership was positively correlatedto the level of member participation in purchasing obligatory deposits. Family burden, jobs, and member’s satisfaction of cooperation services alsopositively correlatedto the level of member’s participation on untilised the business unit services.Key words: cooperative, participation, satisfaction

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.030
GPT teacher head0.272
Teacher spread0.242 · 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 designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

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