MétaCan
Menu
Back to cohort
Record W4399979246 · doi:10.35718/compact.v3i1.1166

Evaluasi Sistem Pengelolaan Sampah Di Kampung Atas Air, Kelurahan Baru Tengah, Kecamatan Balikpapan Barat, Kota Balikpapan.

2024· article· id· W4399979246 on OpenAlexaff
Muhammad Aziz Indrawijaya, Mohtana Kharisma Kadri, Dwiana Novianti Tufail, Rulliannor Syah Putra

Bibliographic record

VenueCOMPACT Spatial Development Journal · 2024
Typearticle
Languageid
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBaruGeographyArchaeology

Abstract

fetched live from OpenAlex

Pengelolaan sampah di Kota Balikpapan, terutama di Kampung Atas Air, Kelurahan Baru Tengah, menghadapi tantangan dalam manajemen dan kesadaran masyarakat. Kampung ini adalah bagian dari kawasan permukiman kumuh dengan karakteristik rumah panggung dan mayoritas penduduknya nelayan. Penumpukan sampah yang belum tertangani dengan baik menjadi masalah utama, mengancam ekosistem pesisir dan kualitas lingkungan. Sistem pengelolaan yang tidak sesuai standar rumah layak huni juga berdampak negatif pada lingkungan, ekonomi, sosial, dan kesehatan masyarakat. Penelitian ini bertujuan mengevaluasi sistem pengelolaan sampah di Kampung Atas Air melalui aspek teknis operasional dan non teknis, termasuk pemilahan dan pewadahan, pengumpulan, pengangkutan, pemanfaatan, kelembagaan, peraturan, pembiayaan, dan peran masyarakat. Data dikumpulkan melalui survei primer dengan observasi secara langsung. Analisis dilakukan secara deskriptif komparatif untuk membandingkan kondisi eksisting dengan standar yang berlaku. Hasil penelitian akan menunjukkan adanya beberapa masalah dalam sistem pengelolaan sampah di Kampung Atas Air, terutama dalam pemilahan, pewadahan, dan kesadaran masyarakat. Evaluasi ini penting untuk mengidentifikasi aspek yang belum sesuai dengan standar, guna menekan timbulan sampah di kawasan tersebut.

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)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.005

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 head0.023
GPT teacher head0.259
Teacher spread0.237 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCOMPACT Spatial Development JournalSame topicWaste Management and RecyclingFrench-language works237,207