Facilitating Disaster Knowledge Management with Agent-Based Modelling

In developed countries, for recurring disasters (e.g. floods), there are dedicated document repositories of Disaster Management Plans (DISPLANs) that can be accessed as needs arise. Nevertheless, accessing the appropriate plan in a timely manner and sharing activities between plans often requires domain knowledge and intimate knowledge of the plans in the first place. In this paper, we introduce an Agent-Based (AB) knowledge analysis framework to convert DISPLANs into a collection of knowledge units that can be stored in a unified repository. The repository of DM actions then enables the mixing and matching knowledge between different plans. The repository is structured as a layered abstraction according to Meta Object Facility (MOF) to allow the free flow access to the knowledge across the layers. We use the flood DISPLAN of the SES (State Emergency Service), an authoritative DM agency in NSW (New State Wales) State of Australia to illustrate and validate the developed framework

Towards knowledge sharing in disaster management: An agent oriented knowledge analysis framework

Disaster Management (DM) is a complex set of interrelated activities. The activities are often knowledge intensive and time sensitive. Sharing the required knowledge timely is critical for DM. In developed countries, for recurring disasters (e.g. floods), there are dedicated document repositories of Disaster Management Plans (DMP) that can be accessed as needs arise. However, accessing the appropriate plan in a timely manner and sharing activities between plans often requires domain knowledge and intimate knowledge of the plans in the first place. In this paper, we introduce an agent-based knowledge analysis method to convert DMPs into a collection of knowledge units that can be stored into a unified repository. The repository of DM actions then enables the mixing and matching knowledge between different plans. The repository is structured as a layered abstraction according to Meta Object Facility (MOF). We use the flood management plans used by SES (State Emergency Service), an authoritative DM agency in NSW (New State Wales) State of Australia to illustrate and give a preliminary validation of the approach. It is illustrated using DMPs along the flood prone Murrumbidgee River in central NSW

Faktor TRUST Sebagai Penentu Niat Adopsi Mobile QRIS Dengan Value-Based Adoption Model Studi Kasus Di Provinsi Papua Barat

QRIS adalah sistem pembayaran yang menstandarkan seluruh pembayaran non tunai dengan menggunakan media QR code. Di Provinsi Papua Barat trend penggunaan QRIS semakin meningkat namun dibandingkan dengan jumlah uang yang beredar di provinsi tersebut relatif kecil. Faktor kepercayaan penting bagi individu untuk mengadopsi Mobile QRIS karena mereka perlu melihat transaksi non tunai menggunakan Mobile QRIS ini aman dan terpercaya. Oleh karena itu, dilakukan penelitian untuk menyelidiki apakah faktor kepercayaan merupakan penentu niat adopsi ponsel QRIS di Provinsi Papua Barat dengan mengintegrasikan model VAM. Tiga variabel kontrol juga diperkenalkan dalam model sebagai efek moderasi terhadap niat untuk mengadopsi variabel: umur, pengalaman, pendidikan. SEM-PLS digunakan untuk menganalisis data. Temuan penelitian menunjukkan Perceived Usefulness, Perceived Enjoyment, Perceived Fee dan Trust menunjukan pengaruh signifikan terhadap Niat Adopsi Mobile QRIS di Papua Barat (R2=74,9%), sedangkan Perceived Technicality dan semua variabel moderasi tidak berpengaruh signifikan secara statistik terhadap niat untuk mengadopsi Mobile QRIS di Papua Barat. Hal ini menunjukkan bahwa kepercayaan merupakan faktor yang mempengaruhi niat untuk mengadopsi Mobile QRIS di Papua Barat.Kata Kunci— Trust, Mobile Banking, QRIS, Value-Based Adoption Model, Intention to adop

Agent-based modelling for disaster management knowledge analysis framework

University of Technology Sydney. Faculty of Engineering and Information Technology.In Disaster Management (DM), reusing knowledge from best practice and past experience is envisaged as the best approach for dealing with disasters. It is important to recognise however that there are no identical disasters. But there are obvious similarities. The challenge is to identify the similarities in the diverse complex characteristics inherently intertwined in the DM knowledge. There are often various autonomous entities: individuals, agencies, organisations, involved in the DM that are coming with their interests, hierarchy structures, resources, and etc., that need to be interacted and communicated with in DM. They have to deal with uncertainty and time-sensitivity as the critical factors otherwise any single situation might lead to the catastrophic. An authoritative agency typically leads the combat of a disaster. The agency organises and elicits the knowledge subsequently structure it into a sharable and reusable format, the Disaster Management Plan (DISPLAN). DISPLANs are maintained by the authoritative agencies encompassing the Prevention, Preparedness, Response and Recovery (PPRR) phases. In a case of disaster, the DISPLAN will be activated to be accessed by the stakeholders. However, accessing the knowledge out of the DISPLAN is challenging. Knowledge in DISPLANs tends to be structured in a business specification format. Accessing the knowledge can have a subjective element. The fuzziness and the intertwine of knowledge across all PPRR phases in their structure can hinder access in a timely manner. This dissertation contributes to development of a knowledge transfer analysis framework to unify access to DISPLANS through a unified repository. This framework is developed following Design Science Research (DSR) methodology in Information System (IS). Agent-Based Models (ABMs) are used to code the DISPLANs to enable their transfer into a repository. ABMs enable the representation of many DM characteristics and processes expressed in the DISPLANs. The Object Management Group (OMG) Metamodeling Framework is then used to create a repository that is ready for storing the content of ABMs. The repository itself is underpinned by a metamodel structure that facilitates the retrieval and DM decision making processes in the context of their use. The overall approach is evaluated using DISPLANs from the State Emergency Services (SES) in Australia. The framework is successfully used to analyse and convert the SES DISPLANs into the metamodel based repository. The resultant approach and repository enable better access, sharing and maintenance of the DM knowledge

Analysis and Design Complex and Large Data Base using MySQL Workbench

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MHealth medical record to contribute to noncommunicable diseases in Indonesia

2019 The Authors. NonCommunicable Diseases (NCDs) have been the public concern worldwide, both in developed and developing countries. The issues are not only about the number of mortality but also the economic implications caused by the diseases. This paper aims to exploit the mobile technology potential by developing an mHealth medical record to assist the prevention and controlling of diseases in Indonesia, particularly in the West Papua Province. Design Science Research (DSR) methodology in Information System (IS) is employed to guide these research activities. This solution enables the medical data to be deposited by a person directly and personally utilising the developed mHealth application installed in the smart phone. By the time that person needs a further health examination for the NCD symptoms, the deposited data allows a General Practitioner (GP) making decision relatively easier at the first place. Some issues have been identified: data integrity and reliability as well as the manual assessment by the GP. Therefore, further evaluations are sought

E-government, social media, and risk perception communication at the edge of disaster: Findings from the Mt. Sinabung eruption in Indonesia

Despite operational volcano surveillance using meteorological satellite, thermal remote sensing and infrared camera technologies, predicting its hazardous activity and explosive eruption, with any accuracy, remains nearly impossible. Against this, volcanic hazards and risk literature identifies risk communication as a new research challenge. This study presents insights from the disaster risk communication practice, during the Mt. Sinabung eruptions in February 2014, causing 16 deaths and continuous evacuations of 30,000 local residents. We examined IT uses, including e-government websites and social media, which facilitated or inhibited communications of risk perceptions by governments, the affected villagers, and the public. Based on findings, we discuss socio-political and socio-technical implications for overcoming inter-agency coordination and clear cross-jurisdictional communication challenges so as to improve external political efficacy of volcanic risk communication and to empower the public living at the edge of disaster and take appropriate and timely responses that would mitigate the volcanic hazards and risk. Copyright 2014 ACM