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Record W4289918729 · doi:10.47354/aaos.v1i1.104

ANALISIS KINERJA KEUANGAN PERUSAHAAN DAERAH AIR MINUM KABUPATEN ENREKANG BERDASARKAN KEPUTUSAN MENTERI DALAM NEGERI NOMOR 47 TAHUN 1999 PERIODE 2014-2018

2019· article· id· W4289918729 on OpenAlexaff
Nurbayani Nurbayani, Fitriani Dewi

Bibliographic record

VenueAccounting Accountability and Organization System (AAOS) Journal · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini untuk mengetahui kinerja Keuangan Perusahaan Daerah Air Minum (PDAM) Berdasarkan Keputusan Menteri Dalam Negeri (Kepmendagri) No. 47 Tahun 1999 Kabupaten Enrekang pada Tahun 2014- 2018. teknik pengumpulaan data yang digunakan yaitu analisis dokumen. Teknik analisis data dengan mengunakan analisis kinerja keuangan dengan sepuluh rasio keuangan berdasarkan Keputusan Menteri Dalam Negeri No.47 Tahun 1999, tentang pedoman penilaian kinerja keuangan Perusahaan Daerah Air Minum Kabupaten Enrekang. Hasil dari perhitungan kinerja keuangan pada Perusahaan Daerah Air Minum Kabupaten Enrekang pada tahun 2014- 2018 sesuai dengan Keputusan Menteri Dalam Negeri No.47 Tahun 1999, sebagi berikut: pada tahun 2014 menghasilkan kategori “Baik” dengan nilai kinerja sebesar 33, tahun 2015 menghasilkan kategori “Baik Sekali” dengan nilai kinerja sebesar 40, ditahun 2016 menghasilkan kategori “baik” dengan nilai kinerja keuangan sebesar 31, pada tahun 2017 menghasilkan kategori “baik” dengan nilai kinerja keuangan sebesar 30, dan pada tahun 2018 menghasilkan kategori “baik Sekali” dengan nilai kinerja keuangan sebesar 35.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0050.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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