Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia

Jena, Ratiranjan; Pradhan, Biswajeet; Beydoun, Ghassan; Nizamuddin, .; Ardiansyah, Ardiansyah; Sofyan, Hizir; Affan, Muzailin

doi:10.1016/j.gsf.2019.07.006

Cited by 115 publications

(45 citation statements)

References 53 publications

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“…There is little doubt that AHP has been frequently adopted. Along with its traditional applications, it has also been used lately in conjunction with others methods: data envelopment analysis (DEA) [57], fuzzy sets [58,59], neural networks [60], SWOT-analysis [61] among others.…”

Section: Plos Onementioning

confidence: 99%

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

et al. 2020

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The importance of participation in academic conferences is well known for members of the scientific community. It is not only for the feedback and the improvement of the work, it is also about career development, building networks and increasing visibility. Nevertheless, women continue to be under-represented in these academic events and even more so in the most visible positions such as speaking roles. This paper presents the development of a tool based on performance indicators, which will allow monitoring and evaluating gender roles and inequalities in academic conferences in order to tackle the underrepresentation of women. The study identifies relevant perspectives (participation, organizational structure and attitudes) and designs specific lists of performance indicators for each of them. The tool is based on a combination of two multicriteria techniques, Analytic Hierarchy Process and Analytic Hierarchy Process Sort, and a qualitative analysis based on in-depth interviews and information gathered from a focus group. The use of the AHP multi-criteria decision technique has allowed us to weight the indicators according to the opinion of several experts, and with them to be able to generate from these weightings composite indicators for each of the three dimensions. The most relevant indicators were for the participation dimension. Additionally, the tool developed has been applied to an academic conference which has been monitored in real time. The results are shown as a traffic light visualization approach, where red means bad performance, yellow average performance and green good performance, helping us to present the results for each indicator. Finally, proposals for improvement actions addressed to the red indicators are explained. The work carried out highlights the need to broaden the study of gender equality in academic conferences, not only regarding the participation but also the performance of different roles and functions.

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Section: Plos Onementioning

confidence: 99%

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

et al. 2020

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“…Most are 1-story buildings for settlements, and the rest are shop houses and trade or office buildings. The maximum height is three floors, and only 1 and 2 buildings are owned [24], [26], [27].…”

Section: Results and Conclusionmentioning

confidence: 99%

Rapid Assessment of Buildings Affected by Earthquake: Case Study in Pidie Jaya, Aceh, Indonesia

Febriansyah¹,

Rianto²,

Wardana³

et al. 2020

cea

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Indonesia is a disaster-prone country and has a large population, as evidenced by the increasing number of disasters almost every year. In Aceh province, the second earthquake occurred on 7 December 2016 Wednesday, in the area of Pidie Jaya Regency. This earthquake has caused many deaths and injuries, and damage to buildings. The victims died and were injured mainly due to collapsed residential buildings and other damaged public buildings. The methodology used in this research is by observing and measuring both quantitative and qualitative in the field and then analyzed based on the components of government regulations. The first qualitative measurement uses a map digitization checklist prepared, then the field survey to take pictures and quantitative inspection based on the type of building, building level, and building construction elements. Finally, analyzing the data uses the building regulation component of the government. The results showed that the earthquake that occurred resulted in almost all buildings with modern structures suffered minor damage. The rest sustained small loss and severe damage (collapsing). All buildings with modern structures consist mostly of structural elements/materials that are not under government regulations. This study also found that there are still residential buildings with traditional structures not damaged by the earthquake. This finding is expected to provide public awareness that constructing settlements with modern structures must use structural elements and components under building regulations from the government.

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“…The maps were presented in the form of vulnerability index ranging from 0.343-3.863 for the FR-IoE model and between 0.069-0.539 for the (FR-IoE) AHP model. The maps were classified into five vulnerability classes following methodologies from [91][92][93][94][95]. The selection of the classification method was based on the distribution of the vulnerability indexes [37].…”

Section: Seismic Vulnerability Mapsmentioning

confidence: 99%

Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models

Razak¹,

Rambat²,

Ros³

et al. 2021

IJGI

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Sabah is prone to seismic activities due to its location, being geographically located near the boundaries of three major active tectonic plates; the Eurasian, India-Australia, and Philippine-Pacific plates. The 6.0 Mw earthquake that occurred in Ranau, Sabah, on 15 June 2015 which caused 18 casualties, all of them climbers of Mount Kinabalu, raised many issues, primarily the requirements for seismic vulnerability assessment for this region. This study employed frequency ratio (FR)–index of entropy (IoE) and a combination of (FR-IoE) with an analytical hierarchy process (AHP) to map seismic vulnerability for Ranau, Sabah. The results showed that the success rate and prediction rate for the areas under the relative operating characteristic (ROC) curves were 0.853; 0.856 for the FR-IoE model and 0.863; 0.906 for (FR-IoE) AHP, respectively, with the highest performance achieved using the (FR-IoE) AHP model. The vulnerability maps produced were classified into five classes; very low, low, moderate, high, and very high seismic vulnerability. Seismic activities density ratio analysis performed on the final seismic vulnerability maps showed that high seismic activity density ratios were observed for high vulnerability zones with the values of 9.119 and 8.687 for FR-IoE and (FR-IoE) AHP models, respectively.

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Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia

Cited by 115 publications

References 53 publications

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

Closing the gender gap at academic conferences: A tool for monitoring and assessing academic events

Rapid Assessment of Buildings Affected by Earthquake: Case Study in Pidie Jaya, Aceh, Indonesia

Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models

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