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STRATEGI MENINGKATKAN EFISINESI DAN EFEKTIVITAS KINERJA KEUANGAN PEMERINTAH KOTA BOGOR DALAM PENGELOLAAN APBD

2019· article· en· W2592363713 on OpenAlexaff
Muhamad Syauqi, Hermanto Siregar, Yusman Syaukat

Bibliographic record

VenueJurnal Manajemen Pembangunan Daerah · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsRevenueFinanceLocal governmentBusinessGovernment (linguistics)DecentralizationInvestment (military)Analytic hierarchy processIncentiveEconomicsMicroeconomicsPolitics

Abstract

fetched live from OpenAlex

ABSTRACT Financial performance and budgetary realization is one of the most important keys into the progress of an organization. Hhealthy or not can be marked from the financial performance that showed by the financial statements, that’s would be the source of organizational decisions in the future of financial side. The purpose of this research to analysis the finance performance of Bogor city government that measured with regional finance ratio, identifies the factors are affecting finance performance Bogor city ggovernment, formulate the strategies and policies in order to increasing efficiency and effectiveness the finance performance of Bogor city government in managing of the budgetary of regional revenue and expenditure. This research applied descriptive analysis, quantitatively using multiple regression method and analytical hierarchy process. The result makes the point that the finance performance of Bogor city government has unstable yet. This measured by the indicator i.e less fiscal decentralization has given dependency to the central government very high. There have the variables influence between investment, percapita income, local taxes that had a positive and gross regional domestic product (PDRB) has a negative impact also significant influence toward the financial performance. The priority sequences of strategies to improve the efficiency and effectiveness of Bogor Government finance performance with analytical hierarchy process method as follows: (1) increasing the supervision; (2) education and training; (3) communication and commitment to achieve the goals; (4) implementation the incentive and disincentive regulations; (5) intensification and intensification of taxes and local retributionKeywords: Efficiency and Effectiveness, Financial Performance, Bogor City Government, Budgetary of Regional Revenue and ExpenditureABSTRAKKinerja keuangan dan realisasi anggaran merupakan salah satu kunci dalam kemajuan suatu organisasi. Sehat atau tidaknya suatu organisasi dapat dinilai dari kinerja keuangan ditunjukkan oleh laporan keuangan, hal itu yang akan menjadi sumber keputusan organisasi di masa mendatang dari sisi finansial. Tujuan dari penelitian ini adalah menganalisis kinerja keuangan pemerintah Kota Bogor yang diukur dengan rasio keuangan daerah, mengindentifikasi faktor-faktor yang mempengaruhi kinerja keuangan pemerintah Kota Bogor, merumuskan strategi dan kebijkan untuk meningkatkan efisiensi dan efektivitas kinerja keuangan pemerintah Kota Bogor dalam pengelolaan APBD. Penelitian ini menggunakan analisis deskriptif, analisis kuantitatif menggunakan metode regresi linier berganda dan AHP. Hasilnya menunjukkan bahwa kinerja keuangan pemerintah Kota Bogor belum stabil. Hal ini ditunjukkan oleh indikator desentralisasi fiskal kurang mengingat ketergantungan keuangan terhadap pemerintah pusat sangat tinggi. Ada pengaruh antara variabel investasi, pendapatan perkapita, pajak daerah mempunyai pengaruh yang positif dan PDRB mempunyai pengaruh yang negatif signifikan terhadap kinerja keuangan. Urutan prioritas strategi meningkatkan efisiensi dan efektivitas kinerja keuangan pemerintah Kota Bogor dengan metode AHP adalah sebagai berikut: 1. meningkatkan pengawasan, 2. Pendidikan dan pelatihan, 3. komunikasi dan komitmen pencapaian sasaran, 4. penerapan regulasi insentif dan disinsentif, 5.intensifikasi dan ekstensifikasi pajak dan retribusi daerah. Kata Kunci: Efisiensi Dan Efektivitas, Kinerja Keuangan, Pemerintah Kota Bogor, APBD

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), 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 score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.200
Teacher spread0.183 · 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".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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