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Peningkatan Kapasitas Masyarakat Untuk Kesiap-siagaan dan Mitigasi Bencana Tsunami di Desa Borgo Kabupaten Minahasa

2019· article· id· W2979710299 on OpenAlexaff
Gerald Tamuntuan, Guntur Pasau, Esli D. Takumansang

Bibliographic record

VenueVIVABIO Jurnal Pengabdian Multidisiplin · 2019
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Desa Borgo merupakan salah satu wilayah di Kabupaten Minahasa yang berlokasi di pesisir barat semenanjung utara Pulau Sulawesi. Desa ini ke arah barat berhadapan langsung dengan Laut Sulawesi yang merupakan salah satu daerah sumber gempa di Indonesia. Sumber gempa di Laut Sulawesi umumnya memiliki hiposenter disekitar subduksi Laut Sulawesi dengan kedalaman yang relatif dangkal sehingga sangat berpotensi tsunami. Menjadi permasalahan adalah bahwa pemerintah dan masyarakat di Desa Borgo Kabupaten Minahasa belum tanggap terhadap bahaya tsunami. Hal ini didasarkan pada hasil analisis situasi yang menunjukkan bahwa tingkat pengetahuan yang benar dari masyarakat tentang tsunami masih kurang, belum adanya koordinasi antara pemerintah dan masyarakat, belum terbentuknya kelompok/satuan tugas yang bertanggungjawab terhadap proses evakuasi warga, serta belum adanya tanda-tanda atau piktogram tsunami dan peta jalur evakuasi. Oleh karena itu telah dilaksanakan program kemitraan untuk pemberdayaan kelompok masyarakat dan pemerintah desa dalam rangka mengatasi masalah prioritas yang ada. Metode yang digunakan dalam penyelesaian masalah berbentuk penyuluhan/sosialisasi dan pelatihan dalam rangka membangun budaya kesiap-siagaan serta kemampuan mitigasi bencana tsunami bagi masyarakat Desa Borgo Kabupaten Minahasa. Disamping telah dilakukan juga penyediaan sejumlah barang untuk mendukung proses mitigasi serta evakuasi saat terjadi bencana tsunami antara lain seperti peta potensi/bahaya tsunami, peta jalur evakuasi, rambu petunjuk arah evakuasi, megaphone, dan head lamp. Hasil evaluasi yang dilakukan dalam bentuk tes sebelum dan sesudah pemberian materi sosialisasi menunjukkan adanya peningkatan pengetahuan dalam membangun kesiap-siagaan dan mitigasi bencana tsunami.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.005

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 head0.013
GPT teacher head0.213
Teacher spread0.199 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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