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Record W7133348801 · doi:10.33701/j-3p.v6i2.1960

PEMBERDAYAAN USAHA MIKRO KECIL MENENGAH SUSU SAPI PERAH DI KABUPATEN BOYOLALI PROVINSI JAWA TENGAH

2021· article· W7133348801 on OpenAlexaff
Dimas Novendra Alfianto, Rossy Lambelanova

Bibliographic record

VenueJ-3P (Jurnal Pembangunan Pemberdayaan Pemerintahan) · 2021
Typearticle
Language
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEmpowermentPopulationProduct (mathematics)ProductivityGovernment (linguistics)Human resourcesData collectionService (business)

Abstract

fetched live from OpenAlex

Boyolali Regency is a Regency with a cattle population and the largest producer of meat and milk in Central Java. However, the abundance of potential resources has not been utilized optimally by Micro, Small and Medium Enterprises (MSMEs). Given this phenomenon, the role of the government through the Department of Cooperatives and Manpower of Boyolali Regency has an important task of empowering dairy cow milk SMEs in maximizing the existing potential and then using it to improve welfare. The purpose of this study was to analyze how the implementation of MSME empowerment carried out by the Boyolali District Cooperatives and Manpower Service, to find out the inhibiting factors of the empowerment program, and to analyze the efforts made by the Boyolali District Cooperatives and Manpower Service in increasing the productivity of dairy cows MSMEs. This research method is a descriptive qualitative research design with a deductive approach. The data collection technique used in this research is through the results of interviews, observation and documentation. Data analysis was carried out using the stages of empowerment, namely awareness and behavior formation activities, transforming knowledge and skills, and carrying out intellectual ability enhancement. The results of this study indicate that the implementation of the dairy cow's milk MSME empowerment program in Boyolali Regency has been running well, but there are still several obstacles including the lack of product development innovation, the nature of cow's milk that is easily spoiled making processing difficult, and limited funds causing disruption of empowerment. It is recommended to carry out the empowerment process by: Continuous or sustainable guidance or assistance by relevant stakeholders, adjustment of training time, training carried out offline and online, creation of business partners or associations, ease and facilitation of business licensing, utilizing information technology to expand marketing networks. Keywords: UMKM, Empowerment, Welfare

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.005
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0040.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0190.004

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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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