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Record W4401435969 · doi:10.22146/jkn.90282

Peningkatan Implementasi Tri Hita Karana Pada Keberlanjutan Pengelolaan Penyediaan Air Minum Perdesaan di Kabupaten Buleleng

2024· article· en· W4401435969 on OpenAlexaff
I Gusti Ngurah Kerta Arsana, Mawiti Infantri Yekti, Sagung Putri Chandra Astiti

Bibliographic record

VenueJurnal Ketahanan Nasional · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Rural drinking water management in Buleleng Regency is served by rural drinking water supply (PAM Des) and community-based drinking water supply (pamsimas). The local wisdom of Tri Hita Karana (THK) as a sustainability concept is also applied in the management of drinking water supply systems through a participatory approach.The method used to analyze the sustainability index for PAM Des management uses the Multi Dimensional Scaling (MDS) method. Multi Dimensional Scaling also analyzes lever factors that are sensitive to sustainability.The results of the analysis using Rap analysis show that the sustainability index value for the ecological dimension is 70.11%, the economic dimension is 46.00%, the socio-cultural dimension is 50.65%, the technological dimension is 46.89% and the institutional dimension is 49.74%. The sustainability index value for the ecological and socio-cultural dimensions with a value above 50% is quite sustainable. The sustainability index value of the economic, technological and institutional dimensions of rural drinking water supply management is less sustainable.The leverage factors obtained from the analysis of 5 (five) dimensions of sustainability are 19 factors. Leveraging factor attributes in the ecological and socio-cultural dimensions are maintained and improved through the Tri Hita Karana implementation strategy. Improving the Tri Hita Karana implementation strategy in the economic, technological and institutional dimensions must be carried out by improving, upgrading the PAM Des infrastructure and also regulations that strengthen the management of PAM Des.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.011
GPT teacher head0.234
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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