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Record W3130924964 · doi:10.29122/jtl.v22i1.4088

Evaluasi Hidrolis Jaringan Distribusi Air Minum Sistem Beber PDAM Tirta Jati Kabupaten Cirebon

2021· article· en· W3130924964 on OpenAlexaff
Maharani Anastasya Sukmawardani, Mohamad Rangga Sururi, Arief Dhany Sutadian

Bibliographic record

VenueJurnal Teknologi Lingkungan · 2021
Typearticle
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPipingWater supplyEnvironmental scienceWater pipeClean waterEnvironmental engineeringHydrology (agriculture)EngineeringWaste managementInletGeotechnical engineeringMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT Water loss is a severe problem in the drinking water supply system as it disrupts the continuity of the drinking water supply. The Water loss is a severe problem in the drinking water supply system as it disrupts the continuity of the drinking water supply. The largest proportion of water losses is usually found in distribution systems. This study was located in the Beber water supply system, PDAM Tirta Jati Cirebon Regency. The study aimed to evaluate the hydraulic condition and give improvement recommendations for the Beber piping network system distribution. This research performed the International Water Association (IWA) water balance concept through water production and water usage data. Furthermore, the hydraulic condition is evaluated using water usage, ground-level elevation, water usage pattern, and the existing distribution network's technical data. The evaluation was conducted by simulation using EPANET 2.0 from the Environmental Protection Agency (EPA), which then compared to the design criteria listed in Permen PUPR No. 27 2016. The results show a 44.38% percentage of water loss due to a pipe leak. Simulation results showed a segment of pipe having velocity less than 0.3 m/s (43.31%), and all nodes had pressure below 12.4 MPa. The simulation results also showed some nodes had pressure greater than 100 mKa and exceeded the HDPE SDR 17 pipe's maximum capacity. This condition causes many pipe leaks that occur in the system, so it is recommended to install a Pressure Reducing Valve (PRV) and change of pipe diameter. The study also suggests establishing a District Meter Area (DMA) to detect pipe leak points. Keywords: water loss, distribution network, pipe leakage, DMA, EPANET 2.0. ABSTRAK Kehilangan air merupakan masalah serius dalam Sistem Penyediaan Air Minum (SPAM) karena mengganggu kontinuitas penyediaan air minum. Kehilangan air terbesar biasanya ditemui pada sistem distribusi termasuk pada SPAM Beber milik PDAM Tirta Jati Kabupaten Cirebon. Tujuan studi ini adalah untuk melakukan evaluasi hidrolis dan memberikan rekomendasi perbaikan pada sistem jaringan perpipaan distribusi SPAM Beber. Evaluasi dilakukan dengan konsep neraca air sesuai standar International Water Association (IWA) dengan menggunakan data debit produksi dan pemakaian air. Selanjutnya dilakukan evaluasi hidrolis jaringan menggunakan data pemakaian air, elevasi muka tanah, pola pemakaian air, serta data teknis jaringan distribusi eksisting. Evaluasi dilakukan dengan membuat simulasi hidrolis menggunakan software EPANET 2.0 dari Environmental Protection Agency (EPA) yang kemudian dibandingkan dengan kriteria desain yang tercantum dalam Permen PUPR No. 27 Tahun 2016. Hasil evaluasi menunjukkan persentase kehilangan air mencapai 44,38% akibat kebocoran pipa. Hasil simulasi hidrolis menunjukkan, terdapat segmen pipa yang memiliki kecepatan aliran kurang dari 0,3 m/detik (43,31%) dan seluruh nodes memiliki sisa tekan dibawah 12,4 MPa. Hasil simulasi juga menunjukkan terdapat nodes yang memiliki sisa tekan sebesar 100 mKa dan melebihi kapasitas maksimum dari pipa HDPE SDR 17. Kondisi ini menjadi salah satu penyebab tingginya angka kebocoran pipa yang terjadi pada sistem, sehingga perlu dilakukan perbaikan dengan pemasangan PRV dan pergantian diameter pipa. Penataan District Meter Area (DMA) juga dapat dilakukan sebagai solusi untuk mempermudah pendeteksian titik kebocoran pipa. Kata Kunci : kehilangan air, jaringan distribusi, kebocoran pipa, DMA, EPANET 2.0.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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".

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Citations3
Published2021
Admission routes1
Has abstractyes

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