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Record W4376959757 · doi:10.33087/ekonomis.v7i1.1074

Strategi Pencapaian Kinerja Bidang Bina Pemerintahan Desa pada Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Probolinggo dengan Pendekatan Analisis SWOT

2023· article· en· W4376959757 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

VenueEKONOMIS Journal of Economics and Business · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSWOT analysisBusinessEmpowermentGovernment (linguistics)Business administrationLocal governmentContext analysisManagementAgricultural scienceMarketingOperations managementEconomic growthEngineeringPolitical sciencePublic administrationEconomics

Abstract

fetched live from OpenAlex

The purpose of this study is to explain the results of the SWOT analysis of the strategy for achieving performance in the Village Government Development Sector at the Community and Village Empowerment Service in Probolinggo Regency. This research use desciptive qualitative approach. The determination of respondents used a saturated sampling technique, namely all employees in the Village Government Sector, totaling 10 people, were used as informants. The data analysis model uses SWOT analysis with the calculation of IFAS and EFAS values. The results of the study show that the strategic plan for achieving the performance of the Village Government Development Sector is in quadrant-3. The strategy that must be implemented is to support turn around, namely taking advantage of external opportunities to improve internal weaknesses.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.038
GPT teacher head0.267
Teacher spread0.229 · 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