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Record W4389745682 · doi:10.22437/esehad.v3i2.27649

PELAKSANAAN POS UPAYA KESEHATAN KERJA DI WILAYAH KERJA PUSKESMAS PAAL MERAH I KOTA JAMBI

2023· article· en· W4389745682 on OpenAlexaboutno aff
Dita Aslamiyah, Repelita Witri

Bibliographic record

VenueElectronic Journal Scientific of Environmental Health And Disease · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsnot available
Fundersnot available
KeywordsMandateQuarter (Canadian coin)Work (physics)MedicineOccupational safety and healthOperations managementBusinessEnvironmental healthManagementPolitical scienceNursingGeographyEngineeringEconomicsLaw

Abstract

fetched live from OpenAlex

ABSTRACTBackground: The world organization, the International Labor Organization (ILO), says that 2.78 million workersdie every year due to work accidents and work-related diseases. In Indonesia, the number of cases of work-relateddiseases has increased. Given the high risk of occupational health and safety for workers and the mandate in thelaw to implement occupational health in the workplace, it is necessary to implement occupational health efforts inthe work area of the Puskesmas. One of the forms of work health efforts at the puskesmas is the establishment ofthe Occupational Health Efforts Post (UKK Post). In practice, the roles of cadres and program holders from thePuskesmas have not run properly. Based on data on the Performance Achievement of the 1st Quarter of the PaalMerah 1 Health Center in 2023 related to the low number of sick workers served by 18.26%.Method: The data collected by the author is to provide information regarding the description of the implementationof the UKK Post, which consists of two types, namely Primary Data and Secondary Data.Result and Conclusion The benefit of implementing the UKK Post for Respondents is that workers in theineffective category have the greatest frequency of 32 people with a percentage of 77.5%.Keywords: worker, occupational health post, Health Center, JambiABSTRAKLatar Belakang: Organisasi dunia International Labour Organization (ILO) manyampaikan bahwa 2,78 juta pekerjameninggal setiap tahun karena kecelakaan kerja dan penyakit akibat kerja.Di Indonesia jumlah kasus penyakitakibat kerja mengalami peningkatan. Mengingat tingginya risiko kesehatan dan keselamatan kerja bagi pekerjadan adanya amanat dalam Undang-Undang undang untuk menerapkan kesehatan kerja di tempat kerja, makaperlu dilaksanakannya upaya Kesehatan kerja di wilayah kerja Puskesmas. Bentuk upaya kesehatan kerjapuskesmas salah satunya dibentuknya Pos Upaya Kesehatan Kerja (Pos UKK). Pada pelaksanaannya, perankader maupun pemegang program dari Puskesmas belum berjalan semestinya. Berdasarkan data PencapaianKinerja Puskesmas Triwulan 1 Puskesmas Paal Merah 1 Tahun 2023 terkait rendahnya angka pekerja sakit yangdilayani sebesar 18,26%.Metode: Data yang dikumpulkan penulis untuk memberikan informasi mengenai gambaran pelaksanaan Pos UKK,yang terdiri dari dua jenis, yaitu Data Primer dan Data Sekunder. Hasil dan Kesimpulan: Manfaat pelaksanaanPos UKK Bagi Responden yaitu pekerja dengan kategori belum efektif memiliki frekuensi paling besar yaitusebanyak 32 orang dengan presentase sebesar 77,5 %.Kata Kunci: Pekerja, Pos Upaya Kesehatan Kerja, puskesmas, jambi

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)0.000
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.022
GPT teacher head0.353
Teacher spread0.331 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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