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Record W4379017224 · doi:10.18280/ijsse.130207

Disaster Preparedness in Proximity of Merapi Volcano, Indonesia: Is There Any Relationship in Knowledge and Attitude of Senior High School Students?

2023· article· en· W4379017224 on OpenAlexvenueno aff
Andi Irwan Benardi, Sumarmi Sumarmi, Budijanto, Syamsul Bachri, Atta-ur Rahman, Fajar Wulandari

Bibliographic record

VenueInternational Journal of Safety and Security Engineering · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
FundersUniversitas Negeri MalangLembaga Pengelola Dana PendidikanUniversitas Negeri Semarang
KeywordsPreparednessVolcanoDisaster mitigationDisaster preparednessEmergency managementGeographyEnvironmental planningPolitical scienceGeologySeismology

Abstract

fetched live from OpenAlex

Cangkringan District, Sleman Regency, Yogyakarta Province, Indonesia categorized as a volcanic disaster-prone area.In the study area, every student possesses knowledge and attitude toward volcano disaster preparedness since they have a high risk when Merapi Volcano erupts.The objectives of this study were to 1) find out the disaster knowledge attitudes and student preparedness in dealing with volcanic disasters and (2) find out the relationship between knowledge and student preparedness.This study uses a quantitative method of correlation with a questionnaire based filed survey.Data were processed using SPSS 21 In order to achieve the study objectives 120 students were intensively interviewed in two senior high schools, namely Senior High School 1 Pakem and Senior High School 1 Cangkringan, which are located in close proximity to Merapi Volcano Sleman Regency, Yogyakarta Province.The results showed that as many as 120 students, or 95% of the total research subjects, experienced a volcanic disaster.While the preparedness results obtained from the four main parameters, namely (1) Knowledge and attitudes, (2) Emergency response plans, (3) Disaster warning systems (4) Resource Mobilization, showed that 120 students were in the "Ready" category.The results of this study indicate a mismatch between aspects of knowledge and preparedness.The lack of transfer of disaster knowledge to students influences common disaster knowledge.It was found that, high preparedness has direct relationship with students' experiences, as they were directly affected by Merapi Volcanic disasters.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.300
Teacher spread0.288 · 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 teacher head, 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

Citations4
Published2023
Admission routes1
Has abstractyes

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