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Record W4410572221 · doi:10.25139/jprs.v6i1.5296

Analisis NRW pada Perumda Air Minum Tirta Mangutama Kabupaten Badung

2023· article· en· W4410572221 on OpenAlex
I Wayan Adi Sudiatmika

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

VenueGe-STRAM Jurnal Perencanaan dan Rekayasa Sipil · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMaterials scienceEnvironmental science

Abstract

fetched live from OpenAlex

The percentage of Non-Revenue Water (NRW) at PAM Tirta Mangutama from 2016–2021 is far above the maximum tolerance of 20% and even tends to increase every year. The increasing percentage of NRW causes the performance of PAM Tirta Mangutama to decline. The increase in the percentage of NRW causes a decrease in water pressure at the customer, discontinuity of service to customers, low service coverage, and lower income for PAM Tirta Mangutama. For this reason, research was carried out using the administrative product compilation method and descriptive analysis was carried out. The study was carried out in order to identify the causes of the high percentage of NRW and to provide recommendations for policies and appropriate strategies for PAM Tirta Mangutama Badung Regency in order to control the high level of water loss. In 2020 and 2021, the cost of water with real NRW will be higher than the cost of water in effect at that time, so that in 2020 and 2021 PAM Tirta Mangutama cannot meet the full cost (unfull cost recovery). Based on the water balance in 2021, non-physical and physical water losses are far greater than water losses based on unbilled official consumption. Efforts to suppress the high percentage of NRW require strategic steps that are grouped into 3 programs, namely: short-term, medium-term, and long-term programs.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
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
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.234
Teacher spread0.213 · 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