Partisipasi Masyarakat Terhadap Pelayanan Pengangkutan Sampah Dari Rumah Warga Di Distrik Mimika Baru
Bibliographic record
Abstract
Dalam mengatasi permasalahan yang terjadi perlu adanya keterlibatan dan keikutsertaan masyarakat dalam melakukan pengelolaan sampah yang merupakan salah satu alternatif pilihan yang terbaik untuk diberlakukan. Penelitian ini bertujuan untuk mengetahui partisipasi masyarakat dalam melakukan pengangkutan sampah di Distrik Mimika Baru. Untuk dapat menjawab tujuan tersebut maka dilakukan: 1) Mengidentifikasi faktor partisipasi masyarakat dalam melakukan pengelolaan sampah; 2) Menganalisis bagaimana partisipasi masyarakat terhadap pengangkutan sampah dari rumah warga di Distrik Mimika Baru. Adapun variabel faktor yang digunakan dalam penelitian ini yaitu usia, jenis kelamin, tingkat pendidikan. Pendekatan pada penelitian ini menggunakan analisis deskriptif kuantitatif. Data-data yang diperlukan diperoleh melalui penyebaran kuisioner. Teknik analisis yang digunakan yaitu analisis deskriptif dan analisis tabulasi silang. Hasil studi yang didapatkan berupa 1) faktor Partisipasi masyarakat dalam melakukan pengelolaan sampah yang terdiri dari motivasi dan pengetahuan 2) Hasil analisis regresi sederhana terdapat bahwa partisipasi masyarakat berpengaruh terhadap pelayanan pengangkutan sampah di Distrik Mimika Baru. In addressing waste management issues, community involvement and participation are among the most effective alternatives that can be implemented. This study aims to examine the level of community participation in waste collection in the Mimika Baru District. To achieve this goal, two main steps were carried out: (1) Identifying the factors that influence community participation in waste management; and (2) Analyzing the forms of community participation in the process of household waste collection in Mimika Baru District.The variables used in this study include age, gender, and education level. This research employs a quantitative descriptive approach, with data collected through the distribution of questionnaires. The data analysis techniques used are descriptive analysis and cross-tabulation. The results of the study indicate that: (1) The factors influencing community participation in waste management include motivation and knowledge; and (2) Based on a simple regression analysis, community participation has a significant effect on the quality of waste collection services in Mimika Baru District.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 0.017 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".