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Record W3127463070 · doi:10.25170/jm.v18i1.1436

PENGARUH JUMLAH ANGGOTA DAN STRUKTUR MODAL KOPERASI TERHADAP JUMLAH SISA HASIL USAHA PADA KOPERASI PEGAWAI REPUBLIK INDONESIA DI PURWOKERTO

2021· article· en· W3127463070 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Manajemen · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLoanCapital (architecture)Nonprobability samplingBusinessIndonesianGovernment (linguistics)Agricultural scienceBusiness administrationAccountingFinanceGeographyPopulationSociology

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the effect of the number of members and the capital structure of cooperatives on the amount of Remaining Operations (SHU) on the Cooperative of Employee Republic of Indonesia (KPRI). Samples of 15 KPRI in Purwokerto were obtained by purposive sampling technique. Based on 3 years of observation, the amount of research data is 45. Furthermore, the data were analyzed using panel data regression analysis techniques. The results showed that: (1) The number of members had no effect on SHU; (2) Own capital has a positive effect on the Remaining Results of Operations; and 3) Loan capital has no effect on the Remaining Results of Business. Theoretically, this research only supports the theory of stewardship in terms of own capital. Whereas in terms of number of members and no loan capital, this is because the cooperative managers are none other than a small number of existing members so the existence of loan capital is not a priority to be managed. Practically, this research can be considered for cooperative managers and cooperative members to better manage cooperative cooperatives through increasing the number of members, and utilizing their own capital and existing loan capital. Furthermore, the government is expected to be able to pay more attention and supervise cooperatives so that their existence benefits the Indonesian people.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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