PENGARUH PROGRAM DANA DESA TERHADAP TINGKAT PARTISIPASI MASYARAKAT DI KECAMATAN GALESONG UTARA KABUPATEN TAKALAR
Bibliographic record
Abstract
ABSTRAK. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh program dana desa terhadap tingkat partisipasi masyarakat di Kecamatan Galesong Utara Kabupaten Takalar. Penelitian ini menggunakan pendekatan kuantitatif yang bersifat korelasional. Dengan teknik cluster random sampling diperoleh tiga desa dari Sembilan desa di Kecamatan Galesong Utara yaitu Desa Bontokaddopepe, Desa Tamalate dan Desa Pakkabba sebagai lokasi penelitian. Data diambil dari 55 responden dengan menggunakan kuisioner. Selanjutnya, data dianalisis dengan menggunakan regresi linear sederhana dengan bantuan program SPSS versi 16,00. Hasil penelitian menjelaskan bahwa program dana desa dilaksanakan berdasarkan Rencana Pembangunan Jangka Menengah (RPJM) Desa yang sudah dijabarkan dalam Rencana Kerja Pemerintah (RKP) Desa dan Anggaran Pendapatan Belanja (APB) Desa. Partisipasi masyarakat desa dimulai sejak penyusunan RPJM, RKP Desa, APB (Desa), pelaksanaan pembangunan desa, dan memanfaatkan hasil-hasil pembangunan desa. Program dana desa berpengaruh positif dan signifikan terhadap tingkat partisipasi masyarakat desa. Dari persamaan regresi linear sederhana diperoleh informasi bahwa program dana desa mempunyai konstribusi sebesar 0,329 terhadap peningkatan partisipasi masyarakat. Nilai R2 terkoreksi sebesar 0,789. Nilai ini menjelaskan bahwa sebanyak 78,9 % variasi yang berbeda dari tingkat partisipasi masyarakat ditentukan oleh program dana desa pada taraf signifikansi = 0,05. Kata Kunci: Dana Desa, Partisipasi Masyarakat. ABSTRACT. This research aims to determine and analyze the influence village fund program to the level community participation in the North Galesong District Takalar Regency. This research used a quantitative approach that was correlational. With random cluster sampling technique gained three villages of nine villages in the North Galesong District of Bontokaddopepe Village, this Village and Village Tamalate Pakkabba were the research location. Data taken from 55 respondents using questionnaires. Furthermore, the data were analyzed using simple linear regression with SPSS version 16.00. The results of the research explained the village fund programme implemented based on the Medium Term Development Plan (Plan) Villages that had been outlined in the Government Work Plan (RKP) Village and Budget (APB) Village. The participation of rural communities began RPJM, RKP Village, APB (village), rural development implementation, and it utilised the results rural development. Village fund programme and a significant positive effected on the level of participation rural communities. From simple linear regression equation obtained information the village fund programme had a contribution amounting to 0.329 against public participation. R2 value corrected by 0.789. This value described that as many as 78.9% of different variations the participation rate = 0.05. Keywords: Village Fund, Public Participation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".