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Dr. Dedi I. Inan
Faculty of Engineering, Engineering Department, Universitas Papua, Papua Bar. 98314, Indonesia

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0 Disaster Management
0 Information Systems
0 Knowledge Management
0 Mobile Health
0 Decision support systems in disaster management

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Journal article
Published: 18 July 2020 in Socio-Economic Planning Sciences
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Web 2.0 has brought innovations in digital government, namely, government 2.0. Social media, as one part of Web 2.0, could potentially support fuller participation and public interaction. Social media enjoys a very high level of acceptance by individual users and government agencies around the world. Web 2.0 and social media usage in the public sector still needs to be tested from the perspective of not only the government but also the community as the recipient of services. Therefore, this study aims to answer the following research questions: How effective has government 2.0 implementation been in Indonesia? Is there a correlation between e-government management and government 2.0 implementation? We adopted the sophistication index (SI) by Bonson et al. (2012) [1] to answer the first research questions. The SI examined the presence of Web 2.0 features and social media applications on these government institutions’ websites. As to answer the second research question, we conducted parametric statistical tests to assess how e-government implementation, based on the Indonesian E-Government Rating (PEGI) score, has influenced the effectiveness of government 2.0 use by government institutions in Indonesia. We observed the websites and social media accounts of 116 Indonesian government institutions. According to the evaluation of Web 2.0 and social media use, the average SI score is 42%. These results indicate that, in general, government institutions in Indonesia have used Web 2.0 and social media features, although the adoption rate has not been equal. The correlations between the PEGI scores and SI values also suggest a positive relationship between the effectiveness of e-government implementation and the effectiveness of government institutions. Therefore, government institutions that have been effective in implementing e-government have also been effective in implementing government 2.0.

ACS Style

Nur Fitriah Ayuning Budi; Widia Resti Fitriani; Achmad Nizar Hidayanto; Sherah Kurnia; Dedi Iskandar Inan. A study of government 2.0 implementation in Indonesia. Socio-Economic Planning Sciences 2020, 72, 100920 .

AMA Style

Nur Fitriah Ayuning Budi, Widia Resti Fitriani, Achmad Nizar Hidayanto, Sherah Kurnia, Dedi Iskandar Inan. A study of government 2.0 implementation in Indonesia. Socio-Economic Planning Sciences. 2020; 72 ():100920.

Chicago/Turabian Style

Nur Fitriah Ayuning Budi; Widia Resti Fitriani; Achmad Nizar Hidayanto; Sherah Kurnia; Dedi Iskandar Inan. 2020. "A study of government 2.0 implementation in Indonesia." Socio-Economic Planning Sciences 72, no. : 100920.

Journal article
Published: 01 January 2019 in Procedia Computer Science
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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.

ACS Style

Dedi I. Inan; Khin Than Win; Ratna Juita. mHealth Medical Record to Contribute to NonCommunicable Diseases in Indonesia. Procedia Computer Science 2019, 161, 1283 -1291.

AMA Style

Dedi I. Inan, Khin Than Win, Ratna Juita. mHealth Medical Record to Contribute to NonCommunicable Diseases in Indonesia. Procedia Computer Science. 2019; 161 ():1283-1291.

Chicago/Turabian Style

Dedi I. Inan; Khin Than Win; Ratna Juita. 2019. "mHealth Medical Record to Contribute to NonCommunicable Diseases in Indonesia." Procedia Computer Science 161, no. : 1283-1291.

Journal article
Published: 26 July 2018 in International Journal of Disaster Risk Reduction
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Disaster Management activities often focus on specific tasks (e.g. evacuation, logistic or coordination) and are confined to one specific DM phase (e.g. Preparedness or Response). New awareness about an external change, be it environmental or organisational, typically act as a trigger for such focussed activities. A variety of views or stakeholders are also involved in those activities, and their various concerns get often intertwined. This work advocates the use of a Decision Support System (DSS) that can be deployed as a single access point. Such a system requires a sufficient amount of representative knowledge, and facilities to avail the knowledge to the appropriate stakeholders in an appropriate form. With the multitude of stakeholders and their varying knowledge requirements, the system will need to present the knowledge differently according to the stakeholders needs in their decision making process. Such processes can vary, e.g. whether for policy making or for operational real time responses. This paper presents a hybrid of knowledge elicitation and retrieval mechanisms, some are top down and others are bottom up. The mechanisms make use of the Meta Object Facility (MOF) to structure and present the knowledge appropriately according to different interests and roles. A case study of the recent Mt. Agung volcano eruption in Bali Indonesia is successfully used to demonstrate the efficacy of the mechanisms proposed and the resultant DSS.

ACS Style

Dedi I. Inan; Ghassan Beydoun; Biswajeet Pradhan. Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption. International Journal of Disaster Risk Reduction 2018, 31, 711 -721.

AMA Style

Dedi I. Inan, Ghassan Beydoun, Biswajeet Pradhan. Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption. International Journal of Disaster Risk Reduction. 2018; 31 ():711-721.

Chicago/Turabian Style

Dedi I. Inan; Ghassan Beydoun; Biswajeet Pradhan. 2018. "Developing a decision support system for Disaster Management: Case study of an Indonesia volcano eruption." International Journal of Disaster Risk Reduction 31, no. : 711-721.

Journal article
Published: 01 January 2017 in Procedia Computer Science
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Disaster Management (DM) knowledge has long been acknowledged as playing a significant role in reducing the impact caused by disasters. It helps people at the decision-making level to produce contextual decisions, as they are produced from the interaction of the involved social entities and their experiences and those who are on the ground to appropriately react towards the disaster. While it is seen as critical the DM activities, its adoption is still challenging due to its complex structure and availability. This paper employs the Design Science Research (DSR) methodology in Information System (IS) research to develop and validate a knowledge transfer analysis framework to unify access to semi-structured DISPLANs (Disaster Management Plans) through a unified repository. In the development, Agent-Based Models (ABMs) are used to code the DISPLANs to enable their transfer into a repository. The Meta Object Facility (MOF) Metamodeling Framework is then used to create a repository that is ready for storing the content of ABMs. This developed framework is then validated using a real case study of the flood DISPLAN of the State Emergency Service (SES) the State of Victoria, Australia. At the end, this paper contributes to: (1) a validated knowledge transfer analysis framework supporting DM resilience endeavors; (2) demonstrate the DSR methodology as a frame for IS research.

ACS Style

Dedi Iskandar Inan; Ghassan Beydoun. Disaster Knowledge Management Analysis Framework Utilizing Agent-Based Models: Design Science Research Approach. Procedia Computer Science 2017, 124, 116 -124.

AMA Style

Dedi Iskandar Inan, Ghassan Beydoun. Disaster Knowledge Management Analysis Framework Utilizing Agent-Based Models: Design Science Research Approach. Procedia Computer Science. 2017; 124 ():116-124.

Chicago/Turabian Style

Dedi Iskandar Inan; Ghassan Beydoun. 2017. "Disaster Knowledge Management Analysis Framework Utilizing Agent-Based Models: Design Science Research Approach." Procedia Computer Science 124, no. : 116-124.