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Record W4313645882 · doi:10.18280/ijsdp.170809

Model of Sustainable Drinking Water Governance at Tirta Kualo Regional Drinking Water Corporate in Tanjungbalai City, Indonesia

2022· article· en· W4313645882 on OpenAlexvenueno aff
Ruri Prihatini Lubis, Subhilhar, Ramadhan Harahap, Fikarwin Zuska

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsClean waterWater supplyPopulationBusinessCorporate governanceWater resource managementEnvironmental scienceEnvironmental engineeringEnvironmental planningEngineeringWaste managementEnvironmental healthFinance

Abstract

fetched live from OpenAlex

Tirta Kualo is the only regional drinking water corporate (herein after PDAM Tirta Kualo) that provides drinking water to the people of Tanjungbalai city, which has yet to be able to serve the entire community. The purpose of this study was to determine the potential availability of the Silau river, to meet the water needs of the people, to know the condition of drinking water supply governance of PDAM Tirta Kualo, and to design a model of sustainable drinking water governance at PDAM Tirta Kualo, Tanjungbalai city. A mixed method approach was used in this study. The population was customers of PDAM Tirta Kualo who have been domiciled in Tanjungbalai city for more than 10 years. The analysis shows that based on the area of Tanjungbalai city around 60.62 km2 with population 169.367 inhabitants and coverage services of PDAM Tirta Kualo in 2019 was only 68.86%. The projection of drinking water supply demand for each house connection in the next 5 years, assumed to be 2% increase, is an average of 14.79 liters/second. The condition of drinking water supply governance in PDAM Tirta Kualo is still low, and it is proven that there are still many issues in all working units. The design of a sustainable water supply governance model in PDAM Tirta Kualo refers to the regional spatial plan of Tanjungbalai city year 2013 until 2033.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.272
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes1
Has abstractyes

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