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Record W2530690579 · doi:10.14710/pwk.v11i4.11548

Perencanaan Pembangunan Kelurahan Di Kelurahan Semanggi Kota Surakarta

2016· article· en· W2530690579 on OpenAlex
Any Wahyu Purwandari, Mussadun Mussadun

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 Pembangunan Wilayah dan Kota · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSnowball samplingCommunity participationGovernment (linguistics)Nonprobability samplingLikert scaleLocal governmentPublic participationPopulationSocioeconomicsPolitical sciencePublic relationsSociologyPublic administrationPsychologyMathematics

Abstract

fetched live from OpenAlex

ABSTRACT The key to the implementation of the Village Development Planning Forum (Musrenbangkel) is community participation, so that the priority of development programs in accordance with community needs. However, there is a decrease in the implementation of community participation because no realization of development programs proposed society, especially the poor, as well as the implementation tends to be formal and monotonous so as to make people bored and tired. It happened also in the Kelurahan Semanggi which has the densest population with the highest number of poor people in Sub District of Pasar Kliwon. Under these conditions, the purpose of this study was to determine the public participation in the implementation of Musrenbangkel in Kelurahan Semanggu by reviewing Musrenbangkel process, forms of public participation, the level of community participation, as well as internal and external factors that affect the level of community participation. The method used is descriptive quantitative with a Likert scale for questionnaire, frequency distribution and multiple linear regression, as well as qualitative descriptive with purposive sampling and snowball sampling. This study shows that the bottom-up approach to the implementation of Musrenbangkel only be a compromise because the people (still) very dependent on the role of community and government leaders, as well as very poor community initiatives that the government (still) in control in determining local development priorities. Keywords: community participation, Musrenbangkel, Village ABSTRAK Kunci dari pelaksanaan Musyawarah Perencanaan Pembangunan Kelurahan (Musrenbangkel) adalah partisipasi masyarakat, supaya prioritas program pembangunan sesuai dengan kebutuhan masyarakat. Namun demikian, dalam perkembangannya terjadi penurunan partisipasi masyarakat karena tidak terealisasinya program-program pembangunan yang diajukan masyarakat, terutama masyarakat miskin, serta penyelenggaraannya yang cenderung formal dan monoton sehingga membuat masyarakat bosan dan jenuh. Hal tersebut terjadi pula di Kelurahan Semanggi yang memiliki penduduk terpadat dengan jumlah penduduk miskin terbanyak di Kecamatan Pasar Kliwon. Berdasarkan kondisi tersebut, maka tujuan penelitian ini adalah untuk mengetahui partisipasi masyarakat pada pelaksanaan Musrenbangkel di Kelurahan Semanggi dengan cara mengkaji proses Musrenbangkel, bentuk partisipasi masyarakat, tingkat partisipasi masyarakat, serta faktor internal dan eksternal yang berpengaruh terhadap tingkat partisipasi masyarakat. Metode penelitian yang digunakan adalah deskriptif kuantitatif menggunakan kuesioner dengan skala likert, distribusi frekuensi dan regresi liner berganda, serta deskriptif kualitatif dengan purposive sampling dan snowball sampling. Hasil analisa penelitian menunjukkan bahwa pendekatan bottom up pada pelaksanaan Musrenbangkel hanya bersifat kompromis karena masyarakat (masih) sangat bergantung pada peran tokoh masyarakat dan pemerintah, serta masyarakat sangat miskin inisiatif sehingga pemerintah (masih) memegang kendali pada penentuan prioritas pembangunan daerah.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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