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Record W7038941574

KINERJA DPRD KOTA BANDAR LAMPUNG DALAM
\nMEMBUAT PERATURAN DAERAH
\n(Studi Pada Dewan Perwakilan Rakyat Daerah Kota Bandar Lampung)
\n

2023· other· id· W7038941574 on OpenAlexaboutno aff

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2023
Typeother
Languageid
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Local government
DOInot available

Abstract

fetched live from OpenAlex


\nHingga triwulan ke empat di tahun 2022, masih ada beberapa Rancangan Peraturan Daerah (Raperda) Kota Bandar Lampung yang menggantung dan tidak selesai.Tujuan penelitian ini mengetahui Kinerja Dewan Permusyawaratan Rakyat Daerah Kota Bandar Lampung dalam Membuat Peraturan Daerah di Kota Bandar Lampung dengan menggunakan teori Robbins yaitu kualitas, kuantitas, ketepatan waktu, efektivitas, kemandirian, dan lingkungan. Metode penelitian ini menggunakan deskriptif kualitatif. Teknik pengumpulan data yang digunakan pada penelitian ini yaitu observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa kinerja DPRD Kota Bandar Lampung dalam membuat peraturan daerah belum optimal. Dari indikator kualitas, dalam membuat Peraturan Daerah tidak mampu melihat secara faktual kepentingan masyarakat dan keadaan di lapangan. Kuantitas, kinerja DPRD dalam indikator kuantitas masih kurang maksimal dalam menjalankan fungsinya sebagai lembaga legislatif, terutama jumlah peraturan daerah yang dihasilkan. Waktu penyusnan rancangan peraturan daerah dari inisiatif DPRD masih kurang sesuai dengan waktu yang ditetapkan. Peraturan daerah yang dibuat DPRD Kota Bandar Lampung belum efektif dalam menyalurkan aspriasi masyarakat Kota Bandar Lampung. Sedangkan untuk indikator kemandirian, DPRD Kota Bandar Lampung berkomunikasi dengan masyarakat maupun akademisi untuk menciptakan Raperda yang berlandaskan kepentingan masyarakat dengan mendengarkan aspirasi rakyat. 
\n
\nKata kunci: Kinerja, Dewan Perwakilan Rakyat Daerah, Inisiatif.
\nABSTRACT
\n
\n
\nTHE PERFORMANCE OF BANDAR LAMPUNG CITY DPRD IN MAKING REGIONAL REGULATIONS
\n(Study at the Regional People's Representative Council of 
\nBandar Lampung City)
\n
\nBy
\n
\nANDIKA FERIYANTA
\n
\nUntil the fourth quarter of 2022, there are still several Draft Regional Regulations (Raperda) for the City of Bandar Lampung that are hanging and not finish. The purpose of this study was to determine the performance of the Bandar Lampung City Regional People's Consultative Council in Making Regional Regulations in Bandar Lampung City by using Robbins' theory, namely quality, quantity, timeliness, effectiveness, independence, and environment. This research method uses descriptive qualitative. Data collection techniques used in this study was observation, interviews, and documentation. The results of the study show that the performance of the Bandar Lampung City DPRD in making regional regulations is not optimal. From the quality indicators, in making Regional Regulations it is not able to see factually the interests of the community and the situation on the ground. Quantity, DPRD performance in terms of quantity indicators is still not optimal in carrying out its functions as a legislative body, especially the number of regional regulations produced. The time for drafting regional regulations from the DPRD initiative was still not in accordance with the time set. Regional regulations made by the DPRD of Bandar Lampung City have not been effective in channeling the aspirations of the people of Bandar Lampung City. As for the indicators of independence, the DPRD of Bandar Lampung City communicates with the public and academics to create a Raperda that is based on the interests of the community by listening to the aspirations of the people. 
\n
\nKeywords: Performance, Local People's Representative Councils, Initiatives.
\n

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0020.003
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 head0.011
GPT teacher head0.182
Teacher spread0.170 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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