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Record W2898833716 · doi:10.31092/jia.v2i1.107

ARSITEKTUR DAN INFORMASI KINERJA: SUATU UPAYA MENINGKATKAN KUALITAS PENGANGGARAN INSTANSI PEMERINTAH (STUDI KASUS PADA BALAI DIKLAT KEUANGAN MAKASSAR)

2018· article· en· W2898833716 on OpenAlexaff
Ali Tafriji Biswan, Priscilla Oktiva Rossari, Fajar Alhadi Alhadi

Bibliographic record

VenueINFO ARTHA · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
FundersKementerian Keuangan Republik Indonesia
KeywordsChristian ministryGovernment (linguistics)Agency (philosophy)LegislatureWork (physics)AccountingBusinessPolitical scienceEngineeringSociology

Abstract

fetched live from OpenAlex

ABSTRACTBudgeting is an important tool used by the management in carrying out the functions of planning and control, no exception to public sector organizations and government. The Indonesian government continues to implement the best practices of budgeting, one of which is through the implementation of performance-based budgeting.In a performance-based budgeting, the budget is prepared by formulating outputs or outcomes to be achieved. This formulation is done by the respective ministries/agencies in accordance with the functions of their respective organizations. All information related to the performance of then integrated into a document Work Plan and Budget-Ministry/Agency (RKA-K/L) as the basis of discussion of the budget document by the legislative board. However, in practice, ministries/agencies have not been able to compile performance information appropriately. The quality of outputs and outcomes compiled considered not in accordance with the strategic objectives and functions of the ministries/agencies concerned. Another problem related to budgeting is improper planning which led to the absorption of current year's budget to less than optimal. Through this paper, researchers will present problems related to the issue of the budget that comes from the weakness of the architecture and performance information on the ministries/agencies. Responding to the challenges of the need of better budgeting, the government began compiling Arsitektur dan Informasi Kinerja (ADIK) to improve the application of performance-based budgeting approach before. ADIK implementation on Financial Training Center of Makassar gives an overview effort of applying this new architecture. It is expected the new budgeting architecture implemented during Fiscal Year 2016 increases the optimum benefits. Keywords: budgeting, performance-based budgeting, performance information, ADIK. ABSTRAKPenganggaran merupakan alat penting bagi manajemen organisasi, tidak terkecuali organisasi sektor publik, dalam menjalankan fungsi perencanaan dan pengendalian. Instansi pemerintah terus berupaya mengelola praktik terbaik penganggaran, salah satunya adalah melalui penganggaran berbasis kinerja (PBK).Dalam PBK, anggaran disusun dengan merumuskan output atau outcome yang hendak dicapai. Perumusan ini dilakukan oleh kementerian/lembaga sesuai dengan fungsi organisasi masing-masing. Seluruh informasi kinerja diintegrasikan menjadi sebuah dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga (RKA- K/L) sebagai dokumen dasar pembahasan anggaran dengan badan legislatif. Namun pada praktiknya, kementerian/lembaga belum mampu menyusun informasi kinerja dengan tepat. Kualitas output dan outcome yang disusun belum sepenuhnya sesuai dengan sasaran strategis dan fungsi kementerian/lembaga yang bersangkutan. Masalah itu terkait erat dengan perencanaan yang kurang baik sehingga penyerapan anggaran kurang tepat sasaran.Melalui tulisan ini, dipaparkan isu permasalahan terkait anggaran yang bersumber dari lemahnya bangunan informasi kinerja pada kementerian/lembaga. Menjawab tantangan penganggaran yang lebih baik, pemerintah mulai menyusun Arsitektur dan Informasi Kinerja (ADIK) untuk mempertajam penerapan PBK. Penerapan ADIK pada Balai Diklat Keuangan Makassar memberikan gambaran upaya penerapan arsitektur yang baru ini. Diharapkan arsitektur penganggaran baru yang diimplementasikan mulai Tahun Anggaran 2016 ini meningkatkan manfaat penganggaran yang lebih optimal. Kata kunci: anggaran, PBK, informasi kinerja, ADIK.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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