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Record W2602149723 · doi:10.20956/geocelebes.v1i1.1774

MIKROZONASI KAWASAN RAWAN BENCANA GEMPABUMI DENGAN STUDI PEAK GROUND ACCELERATION MENGGUNAKAN METODE BOORE ATKINSON DAN DATA MIKROTREMOR DI DAERAH KUPANG

2017· article· id· W2602149723 on OpenAlexaff
Rachmat Jariah Jamal, Lantu Lantu, Sabrianto Aswad, Cecep Sulaiman

Bibliographic record

VenueJURNAL GEOCELEBES · 2017
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeologyForestryGeographySeismology

Abstract

fetched live from OpenAlex

AbstrakLetak geografis Indonesia yang berada pada pertemuan tiga lempeng tektonik utama; Lempeng Indo-Australia, Lempeng Eurasia dan Lempeng Pasifik, menjadikan Indonesia sebagai kawasan rawan gempabumi. Berdasarkan data yang dirilis oleh Direktorat Vulkanologi dan Mitigasi Bencana Geologi (DVMBG) terdapat 28 wilayah rawan gempa dan tsunami termasuk Kupang. Kupang terletak di zona busur sangat aktif dan tepian benua aktif. Kegiatan tektonik yang berlangsung saat ini dicirikan dengan kejadian gempa tektonik yang melanda daerah pedalaman, akibat dari aktifnya sesar-sesar yang terdapat di perbukitan sekitar Kota Kupang. Salah satu upaya mitigasi yang dilakukan adalah pengukuran mikrotremor menggunakan metode HVSR (Horizontal to Vertical Spectral Ratio) untuk mengetahui nilai frekuensi dominan yang akan menjadi penentu tingkat kerawanan bencana gempabumi. Nilai frekuensi dominan akan menghitung nilai kecepatan gelombang S hingga kedalaman 30 meter (Vs30) yang selanjtnya digunakan untuk menentukan nilai PGA dan amplifikasi. Hasil analisis data menunjukkan bahwa nilai periode dominan berada pada rentang 0.1-0.97 sekon, nilai PGA antara 92.87-142.84 gal dan nilai amplifikasi adalah 0.99-4.38 dan 2.12-9.43 kali. Maka dapat disimpulkan bahwa daerah penelitian termasuk kategori rawan bencana gempabumi terutama pada bagian tenggara.Kata Kunci : Amplifikasi, Mikrotremor, Periode Dominan, PGAAbstractGeographically, Indonesia located at the meeting of three major tectonic plates; Indo-Australian Plate, Eurasian Plate, and Pacific Plate, that make Indonesia as earthquake-prone area. Based on data released by the Directorate of Volcanology and Geological Hazard Mitigation (DVMBG), there are 28 earthquake and tsunami prone areas including Kupang that the area located in the very active arc zone and the edge of the active continent. The tectonic activity that is currently taking place is characterized by the tectonic earthquake that attacks to countryside areas, resulting from the active fault-faults found in the hills around the area. One of the mitigation efforts is microtremor measurement using HVSR (Horizontal to Vertical Spectral Ratio) method to find out the dominant frequency for determination of the magnitude of the earthquake. The predominant frequency value will determine the Shear wave velocity up to 30 meters (Vs30) which are further used for the PGA and amplification values. The result of data analysis shows that the dominant period value is in the range 0.1-0.97 second, PGA value between 92.87-142.84 gal and the amplification value is 0.99-4.38 and 2.12-9.43 times. The conclusion, the area is categorized as earthquake-prone, especially in the southeast region.Keywords: Amplification, Microtremor, Dominant Period, PGA

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

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 communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.088
GPT teacher head0.288
Teacher spread0.200 · 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".

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Citations5
Published2017
Admission routes1
Has abstractyes

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