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Jurnal

PENERAPAN DIGITAL TWIN UNTUK MENGURANGI DAMPAK BENCANA

SENSISTEK:Riset Sains dan Teknologi Kelautan · Vol. ume No. mor (2022) · pp. 95–99

DOI
10.62012/sensistek.v5i2.24236
ISSN
2988-2559, 2623-1506
Published
2022-11-26
Publisher
Departemen Teknik Kelautan Fakultas Teknik Universitas Hasanuddin
Language
id

Abstract

English

A country cannot avoid disasters, be it natural disasters or disasters caused by human carelessness. Disasters are increasing day by day. Damage and casualties are inevitable. In the industrial era 4.0, it is time to apply the latest technology to the focus of infrastructure, namely construction design and disaster prevention to reduce the amount of damage and casualties. Digital Twin (DT) is one of the promising technologies to conquer these challenges. The widespread use of Building Information Modeling (BIM) and the advent of the Internet of Things (IoT) apply DT to predict disasters by relying on historical data. This study proposes the use of DT technology due to the lack of reference, knowledge and application of this technology on real buildings or models to prevent and reduce the impact of disasters.

Bahasa Indonesia

Suatu negara tidak bisa terhindar dari yang namanya bencana, baik itu bencana alam maupun bencana karena kecerobohan manusia. Bencana kian kemari kian mengalami peningkatan. Kerusakan dan korban jiwa tidak bisa terhindari. Di era industri 4.0 sudah saatnya unuk melakukan penerapan teknologi terbaru pada fokus infrastruktur, yaitu perancangan konstruksi dan pencegahan bencana untuk dapat mengurangi jumlah kerusakan dan korban jiwa. Digital Twin(DT) adalah salah satu dari teknologi yang menjanjikan untuk menaklukan tantangan tersebut. Tersebar luasnya Building Information Modeling(BIM) dan hadirnya Internet of Things(IoT) penerepana DT digunakan untuk memprediksi bencana dengan mengandalkan riwayat data sebelumnya. Studi ini mengusulkan untuk di pakaianya teknologi DT karena masih kuragnya referensi, pengetahuan dan penerapan teknologi ini pada bangunan atau model nyata untuk mencegah serta mengurangi dampak bencana.

Keywords

Collaboration network of the authors

40 authors · 58 co-authorship links · showing the 40 most connected

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  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Risal RisalAffiliation unknown2
Juswan SadeAffiliation unknown2
Chairul PaotonanAffiliation unknown2
Muh. Asyhari RamadhanAffiliation unknown2
Mohammed Hussein Ba NagaAffiliation unknown1
Muhammad Rakin FirasAffiliation unknown1
Galy RakaziwiAffiliation unknown1
Nurhikma NurhikmaAffiliation unknown1
Nur IndahAffiliation unknown1
Muhammad Alkhan Dwiki AbadiAffiliation unknown1
Dimas FitrawanAffiliation unknown1
Ahmad Faiq Dhiyaulhaq KaryaAffiliation unknown1
Syerly KlaraAffiliation unknown1
Pahrizah Puji AnugrahAffiliation unknown1
Khurin PutriAffiliation unknown1
Santa PutriAffiliation unknown1
Cece VirandikaAffiliation unknown1
Musdalifah Akbar SimanjuntakAffiliation unknown1
Andi Hamril Vikri Al FarisiAffiliation unknown1
Selviani SelvianiAffiliation unknown1
Rati AhmadAffiliation unknown1
Andika SarifuddinAffiliation unknown1
Muhammad Azka Bintang AmffaAffiliation unknown1
Muhammad Fadhil ArsyAffiliation unknown1
Brian Jaya PalisuAffiliation unknown1
Muh Rizal FiqriAffiliation unknown1
Fahrul Muhammad NurAffiliation unknown1
Raihan Firdaus SutopoAffiliation unknown1
A. Muhammad Fauzan SulfaAffiliation unknown1
Nabilah Rezky Putri ZahirahAffiliation unknown1
Dijah NurtikaAffiliation unknown1
Muhammad FachrulAffiliation unknown1
Sabaruddin RahmanAffiliation unknown1
Ahmad Yasir BaedaAffiliation unknown1
Reskyah FitrianiAffiliation unknown1
Nisrina ImtiyazAffiliation unknown1
Raina Shelomita DengenAffiliation unknown1
Muh. Aiman Fatwa AzkharAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/SENSISTEK/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">PENERAPAN DIGITAL TWIN UNTUK MENGURANGI DAMPAK BENCANA </dc:title>
	<dc:title xml:lang="id">PENERAPAN DIGITAL TWIN UNTUK MENGURANGI DAMPAK BENCANA </dc:title>
	<dc:creator xml:lang="en">Patandianan, Maraya Abisurya</dc:creator>
	<dc:creator xml:lang="en">Assidiq, Fuad Mahfud</dc:creator>
	<dc:creator xml:lang="id">Patandianan, Maraya Abisurya</dc:creator>
	<dc:creator xml:lang="id">Assidiq, Fuad Mahfud</dc:creator>
	<dc:subject xml:lang="id">Kata Kunci: Bencana, Digital Twin, Teknologi, Pencegahan, Pengetahuan</dc:subject>
	<dc:description xml:lang="en">A country cannot avoid disasters, be it natural disasters or disasters caused by human carelessness. Disasters are increasing day by day. Damage and casualties are inevitable. In the industrial era 4.0, it is time to apply the latest technology to the focus of infrastructure, namely construction design and disaster prevention to reduce the amount of damage and casualties. Digital Twin (DT) is one of the promising technologies to conquer these challenges. The widespread use of Building Information Modeling (BIM) and the advent of the Internet of Things (IoT) apply DT to predict disasters by relying on historical data. This study proposes the use of DT technology due to the lack of reference, knowledge and application of this technology on real buildings or models to prevent and reduce the impact of disasters.</dc:description>
	<dc:description xml:lang="id">Suatu negara tidak bisa terhindar dari yang namanya bencana, baik itu bencana alam maupun bencana karena kecerobohan manusia. Bencana kian kemari kian mengalami peningkatan. Kerusakan dan korban jiwa tidak bisa terhindari. Di era industri 4.0 sudah saatnya unuk melakukan penerapan teknologi terbaru pada fokus infrastruktur, yaitu perancangan konstruksi dan pencegahan bencana untuk dapat mengurangi jumlah kerusakan dan korban jiwa. Digital Twin(DT) adalah salah satu dari teknologi yang menjanjikan untuk menaklukan tantangan tersebut. Tersebar luasnya Building Information Modeling(BIM) dan hadirnya Internet of Things(IoT)  penerepana DT digunakan untuk memprediksi bencana dengan mengandalkan riwayat data sebelumnya. Studi ini mengusulkan untuk di pakaianya teknologi DT karena masih kuragnya referensi, pengetahuan dan penerapan teknologi ini pada bangunan atau model nyata untuk mencegah serta mengurangi dampak bencana.</dc:description>
	<dc:publisher xml:lang="en">Departemen Teknik Kelautan Fakultas Teknik Universitas Hasanuddin</dc:publisher>
	<dc:date>2022-11-26</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/SENSISTEK/article/view/24236</dc:identifier>
	<dc:identifier>10.62012/sensistek.v5i2.24236</dc:identifier>
	<dc:source xml:lang="en">SENSISTEK:Riset Sains dan Teknologi Kelautan; Volume 5, Nomor 2, Tahun 2022; 95-99</dc:source>
	<dc:source xml:lang="id">Riset Sains dan Teknologi Kelautan; Volume 5, Nomor 2, Tahun 2022; 95-99</dc:source>
	<dc:source>2988-2559</dc:source>
	<dc:source>2623-1506</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/SENSISTEK/article/view/24236/10730</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 SENSISTEK:Riset Sains dan Teknologi Kelautan</dc:rights>
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