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Record W2998106111 · doi:10.52022/jikm.v12i1.46

INTERVENSI UPAYA PENCEGAHAN KEBAKARAN TERHADAP PENINGKATAN PENGETAHUAN DAN SIKAP WARGA DI WILAYAH PADEMANGAN BARAT JAKARTA UTARA TAHUN 2019

2020· article· id· W2998106111 on OpenAlexaff
Yunia Rachmawati, Cahya Arbitera, Fajaria Nurcandra

Bibliographic record

VenueJURNAL ILMIAH KESEHATAN MASYARAKAT Media Komunikasi Komunitas Kesehatan Masyarakat · 2020
Typearticle
Languageid
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesGynecologyMedicineArt

Abstract

fetched live from OpenAlex

Latar belakang: Pademangan Barat, Jakarta Utara adalah daerah yang dapat dikategorikan sebagai daerah yang kotor. Sebagian besar bangunan di wilayah itu adalah bangunan semi permanen dan tidak ada ruang antara satu gedung dengan gedung lainnya. Berdasarkan data di Jakarta Utara, ada 419 kasus kebakaran pada 2018 dan 53 kasus terjadi di Pademangan. Objektivitas penelitian ini adalah untuk mengetahui pengaruh intervensi pencegahan kebakaran terhadap peningkatan pengetahuan dan perilaku warga di wilayah Pademangan Barat, Jakarta Utara pada tahun 2019. Metode: Penelitian ini adalah penelitian kuantitatif dengan rancangan penelitian pra eksperimental dengan kelompok pretest dan posttest yang tidak. termasuk membandingkan kelompok dengan jumlah sampel saya adalah 92 yang terdiri dari 46 sampel dalam kelompok ceramah dan 46 sampel dalam kelompok video yang diadakan pada bulan Mei. Hasil: Berdasarkan hasil penelitian ini, terjadi perubahan pengetahuan (p-value 0,000) dan perilaku (p-value 0,001) yang terjadi pada metode intervensi dan ceramah dan ada perubahan perilaku (p- value 0,000) dan perilaku (p-value 0,029) intervensi dengan metode video kepada warga di RT 001 dan 012 di Pademangan Barat, Jakarta Utara pada 2019. Kesimpulan: Berdasarkan hasil uji statistik, itu menunjukkan bahwa tidak ada perbedaan antara standar meningkatkan pengetahuan dan perilaku warga antara keduanya. kelompok yang diberikan metode ceramah atau video dan dapat disimpulkan bahwa tidak ada perbedaan efektivitas dalam kedua metode. Kata kunci: Intervensi, Pengetahuan, Sikap, Pencegahan Kebakaran Interventions Fire Perventions to Increased Knowledge and Attitudes of Residents in West Pademangan Region, North Jakarta 2019 AbstractBackground: Pademangan Barat, North Jakarta was a region that can be categorized as a vile region. Most of the building in that region was semi-permanent buildings and there was no space between one building to another. Based on the data in North Jakarta, there was 419 case of conflagration in 2018 and 53 cases of them happened in Pademangan. The objectivity of this research was to know the intervention effect of conflagration prevention to the raising knowledge and citizen’s behavior in the Pademangan Barat Region, North Jakarta in 2019. Methods: This was quantitative research along with Pre experimental study design with pretest and posttest group which was not included comparing the group with the number of me sample was 92 which consisted of 46 samples in the lecturing group and 46 samples in video group which was held in May. Results: Based on the result of this research, there was knowledge alteration (p-value 0,000) and behavior (p-value 0,001) which happened in intervention and lecturing method and there were behavior alteration (p-value 0,000) and behavior (p-value 0,029) intervention with video method to the citizens in RT 001 and 012 in Pademangan Barat, North Jakarta in 2019. Conclusions: . Based on the result of the statistics test, it showed that there was no difference between the standards of raising knowledge and citizen's behavior between both groups who were given of either lecturing or video methods and it could be concluded that there was no difference of the effectiveness in both methods. Keywords: Intervention, Knowledge, Attitude, Fire Prevention

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)0.002
metaresearch head score (Gemma)0.004
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 score0.050
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0500.006

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 head0.070
GPT teacher head0.342
Teacher spread0.272 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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