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Record W4402216416 · doi:10.36985/cn6h7q16

Efektivitas Pemberdayaan Masyarakat Dalam Pengelolaan Program Pengembangan Kecamatan (PPK) Di Kecamatan Siantar Sitalasari Kota Pematangsiantar

2021· article· id· W4402216416 on OpenAlexaff
Bahara Sihombing, Robert Tua Siregar, Marihot Manullang, Sarintan E Damanik

Bibliographic record

VenueJurnal Regional Planning · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah menganalisis Efektivitas Pemberdayaan Masyarakat Dalam Pengelolaan Program Pengembangan Kecamatan (PPK) Di Kecamatan Siantar Sitalasari Kota Pematangsiantar. Populasi penelitian ini adalah seluruh Masyarakat Kecamatan Sianatar Sitalasari sebanyak 54 orang. Penelitian ini menggunakan regresi ganda, pengolahan data menggunakan SPSS. Dari hasil penelitian diketahui bahwa hasil koefisen determinasi dukungan lingkungan sebesar 0,153 atau 51,3 hasil koefisen determinasi swadaya masyarakat sebesar 0,328 atau 32,8. Hasil koefisen determinasi dukungan lingkungan dan Swadaya masyarakat Terhadap pemberdayaan masyarakat di kecamatan Siantar Sitalasari Kota Pematangsiantar sebesar 0,392 atau 39,2 %. Sedangkan sisa 60,8%, yang tidak masuk kedalam penelitian ini. Jadi dapat disimpulkan bahwa dukungan lingkungan dan Swadaya masyarakat Terhadap pemberdayaan masyarakat kecamatan siantar Sitalasari Kota Pematangsiantar. Penelitian ini memberikan sumbangan pemikiran dan saran kepada aparatur Kecamatan Siantar Sitalasari. Meningkatkan pemberdayaan masyarakat membutuhkan dukungan partisipasi penuh dari seluruh masyarakat

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.040
GPT teacher head0.311
Teacher spread0.270 · 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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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