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Record W3108923570 · doi:10.23960/jiia.v8i1.39-47

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

2020· article· id· W3108923570 on OpenAlexaff
Rahmawati Handayani, Dyah Aring Hepiana Lestari, Ktut Murniati

Bibliographic record

VenueJurnal Ilmu Ilmu Agribisnis: Journal of Agribusiness Science · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsAgribrands Purina (Canada)
Fundersnot available
KeywordsBusinessPurchasingBusiness administrationChristian ministryUnit (ring theory)MarketingManagementAgricultural sciencePsychologyPolitical scienceLawEconomics

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.008
Science and technology studies0.0040.004
Scholarly communication0.0050.008
Open science0.0060.002
Research integrity0.0010.002
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 head0.026
GPT teacher head0.269
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; 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
Published2020
Admission routes1
Has abstractyes

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