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Record W2519781647 · doi:10.24198/jkp.v4i1.139

Manajemen Mitigasi Bencana dengan Teknologi Informasi di Kabupaten Ciamis

2016· article· id· W2519781647 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Keperawatan Padjadjaran · 2016
Typearticle
Languageid
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Jawa Barat merupakan wilayah rentan kejadian bencana. Kabupaten Ciamis merupakan daerah yang mempunyai tingkat kerawanan cukup tinggi terhadap kejadian bencana alam tanah longsor dan banjir berdasarkan pemetaan secara global 2012-2029. Namun demikian, penanganan bencana belum tertangani secara optimal. Penanganan korban pada kondisi bencana belum tertangani dengan baik karena minimnya koordinasi, data layanan kesehatan yang tidak memadai sehingga menyebabkan tidak tertanganinya korban akibat bencana. Penggunaan sistem informasi dalam penanganan bencana sangat diperlukan khususnya untuk aspek layanan kesehatan. Tujuan penelitian ini terbentuknya sistem informasi kesehatan khususnya dalam penanganan bencana di Kabupaten Ciamis untuk memudahkan dalam koordinasi penanganan korban dimulai dari lokasi bencana, evakuasi dan transportasi korban ke tempat layanan kesehatan yang sangat tergantung dari kondisi korban, sarana dan prasarana fasilitas kesehatan, logistik yang dibutuhkan, jarak dan waktu tempuh ke tempat layanan kesehatan, serta sumber daya manusia di tempat layanan kesehatan. Penelitian menggunakan metode riset terapan, menggunakan sistem informasi geografis (SIG) dengan perangkat lunak arcgis. Hasil penelitian ini yaitu terbentuknya prototipe sistem informasi kesehatan di Kabupaten Ciamis yang diberi nama “Sistem Informasi Bencana Padjadjaran (SIMBARAN)” berisi elemen kesehatan yang diperlukan selama bencana meliputi layanan kesehatan terdekat di sekitar kejadian, sumber daya manusia yang tersedia, saranan prasarana, penanggung jawab program dan sistem rujukan sehingga memudahkan dalam koordinasi penanganan korban yang nantinya diharapkan dapat menurunkan angka kematian korban akibat bencana ataupun kejadian kecelakaan lainnya. Direkomendasikan agar setiap kabupaten di wilayah Jawa Barat memiliki model Sistem Informasi Bencana karena wilayah Jawa Barat yang rentan terhadap kejadian bencana.Kata kunci: Aspek kesehatan, mitigasi, sistem informasi, “simbaran”. Disaster Mitigation Management use Information Technology in CiamisAbstractWest Java is one of region with susceptible disaster. Ciamis is an area that has a fairly high level of vulnerability to natural disasters as landslides and floods based mapping globally from 2012 to 2029. However, disaster management has not handled optimally. Handling of victims in the disaster condition is not handled properly due to lack of coordination, health services data is inadequate, causing no casualties from the disaster Settlement. Using of information systems in disaster management is indispensable, especially for health services aspects. The study purpose is establishment of health information systems, especially in disaster management in Ciamis to facilitate the coordination of the handling of victims starting from the disaster site, evacuation and transportation of victims to the health service that is highly depend on the condition of the victim, facilities and infrastructure of health facilities, logistics required, distance and time to the health service, and human resources in the health service. The research method applied research, using a geographic information system (GIS) software ArcGIS. The results of this study is the formation of a prototype health information system in Ciamis, named “Information System Disaster Padjadjaran (SIMBARAN)” contains the elements necessary health during disasters include the nearest health service in the vicinity of the incident, the human resources available, the proposition infrastructure, responsible program and a referral system to facilitate the coordination of the handling of victims who might be expected to decrease the death toll from the disaster or other accident scene. This study being recommended for each district in West Java has a Disaster Information System model because West Java region that is susceptible to disaster events.Keywords: Information systems, health aspects, mitigation, “simbaran”.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0050.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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