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Record W4413332832 · doi:10.29313/bcsurp.v5i2.20045

Faktor Ruang Non Ekonomi yang Mempengaruhi Kualitas Sanitasi di Kelurahan Kalibaru

2025· article· en· W4413332832 on OpenAlexaff
Amanda Laudza Putri, Hilwati Hindersah

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Abstract. Sanitation is an important factor to life and public health. Nearly 70 percent of drinking water in Indonesia are polluted with fecal sludge, which has causing the spread of various diseases. This sanitation problem also occurs in Kalibaru urban village, North Jakarta. This is because Kelurahan Kalibaru is included in the urban area of North Jakarta with high density and is located in a coastal area. Kelurahan Kalibaru has a number of priority issues such as water clean water and sanitation. The quality of sanitation in Kalibaru Kelurahan is poor because the cost is high. But from the data obtained, the economic data of Kelurahan Kalibaru's economy is quite good, so the economy is not the factors that affect the quality of sanitation in Kelurahan Kalibaru. Therefore, there are other spatial factors such as physical and social factors that influence the quality of sanitation in Kelurahan Kalibaru. This research uses the Analytical Hierarchy Process (AHP) method to determine the most influential priority factors according to experts. It was found that water conditions have a high based on the physical space factor, while for the social space factor education and government elements in the community are the most influential factors. Abstrak. Sanitasi merupakan faktor penting untuk menunjang kehidupan dan kesehatan masyarakat. Hampir 70 persen sumber air minum di Indonesia tercemar lembah tinja yang menyebabkan adanya penyebaran berbagai penyakit. Permasalahan sanitasi ini juga terjadi di Kelurahan Kalibaru, Kecamatan Cilincing, Jakarta Utara. Hal ini dikarenakan Kelurahan Kalibaru termasuk dalam kawasan perkotaan Jakarta Utara dengan tingkat kepadatan yang tinggi dan berada di wilayah pesisir. Kelurahan Kalibaru memiliki beberapa permasalahan prioritas seperti masalah air bersih, persampahan, dan juga sanitasi. Kualitas sanitasi di Kelurahan Kalibaru buruk karena biaya yang cukup tinggi dan masyarakat tidak dapat membayarnya. Tetapi dari data yang didapatkan, data ekonomi Kelurahan Kalibaru cukup baik sehingga ekonomi seharusnya tidak termasuk ke dalam faktor yang mempengaruhi kualitas sanitasi di Kelurahan Kalibaru. Oleh karena itu adanya faktor ruang lainnya seperti faktor fisik dan sosial yang mempengaruhi kualitas sanitasi di Kelurahan Kalibaru. Penelitian ini menggunakan metode Analisis Hirarki Proses (AHP) untuk menentukan faktor prioritas yang paling berpengaruh menurut ahli, sehingga didapatkan bahwa kondisi air mempunyai pengaruh yang tinggi berdasarkan faktor ruang fisik, sedangkan untuk faktor ruang sosial pendidikan dan unsur pemerintah dalam kemasyarakatan menjadi faktor yang berpengaruh pada kualitas sanitasi di Kelurahan Kalibaru, Jakarta Utara.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.128
GPT teacher head0.435
Teacher spread0.307 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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