JOURNAL INFORMATIC.
EDUCATION AND MANAGEMENT (JIEM)
Vol 8 No 1 .
: September 2025 - February 2026, pp.
ISSN: 2716-0696.
DOI: 10.
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A 1055
Assessing the Effectiveness of Information Systems in Disaster Management Comparative Analysis Case Study Adi Ahmad 1* .
Khairul Akmal 2 .
Fahmi Hanifa 3 1 STMIK Indonesia Banda Aceh 2 CV.
Raja Cipta Media 3 STIKES Medika Nurul Islam Article Info Article history:
Received 6 December 2025 Revised 4 January 2026 Accepted 30 January 2026 Keywords:
Information System Effectiveness.
Disaster Management.
Comparative Analysis.
Data Integration.
Interoperability ABSTRACT Increasing the effectiveness of information systems in disaster management is a crucial aspect in mitigating the impact of disasters which are increasingly complex and frequently This study aims to evaluate the effectiveness of information systems in disaster management through comparative analysis of several case studies.
This research methodology adopts a qualitative approach by conducting indepth analysis of several case studies covering various types of disasters, from natural disasters to human disasters.
Data was collected through interviews, observation and documentation Comparative analysis was carried out to identify the strengths and weaknesses of each information system used in disaster management.
The research results show that the effectiveness of information systems in disaster management is highly dependent on several key factors, including data integration, information accessibility, system interoperability, and the availability of trained human resources.
Case studies show that information systems that are able to integrate data from various sources have a better ability to provide accurate and timely information to stakeholders.
However, the main challenge faced is the difficulty in ensuring interoperability between different information systems, which can hinder effective information exchange between relevant agencies in emergency situations.
In conclusion, increasing the effectiveness of information systems in disaster management requires a holistic approach, which includes strong data integration, development of easily accessible systems, and investment in human resource training.
This study provides valuable insights for practitioners and decision makers in developing and improving information systems for disaster management in the future.
This is an open access article under the CC BY-SA license.
Corresponding Author:
Adi Ahmad | STMIK Indonesia Banda Aceh Email: adiahmad@stmikiba.
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php/jiem JOURNAL INFORMATIC.
EDUCATION AND MANAGEMENT (JIEM) Vol 8 No 1 .
: September 2025 - February 2026, pp.
ISSN: 2716-0696.
DOI: 10.
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Introduction The increasing complexity and frequency of natural and human disasters have characterized the contemporary era, placing disaster management as a top priority on the global development agenda.
Amidst these pressures, information systems play a central role in facilitating rapid, efficient and coordinated responses to disasters as they occur (Smith & Jones, 2.
However, a comprehensive understanding of the effectiveness of information systems in the context of disaster management still requires further exploration, particularly through comparative case analysis.
The theoretical framework underlying this research includes conceptions of information systems and disaster management, as well as a literature review on technology integration in the context of emergency response.
First, information systems are seen as critical infrastructure that enables the collection, analysis and distribution of relevant information in dealing with emergency situations.
A systems approach is applied to understand the complexity of the relationship between information system elements, including input .
isaster dat.
, process .
nalysis and mappin.
, output .
equired informatio.
, as well as feedback mechanisms for continuous improvement (Wang & Zhang, 2.
Second, this conceptual framework is strengthened by disaster management theory which emphasizes the importance of planning, response, recovery and mitigation as key components of the disaster management cycle.
Active involvement of various stakeholders, including governments, non-governmental organizations and civil society, is recognized as an important element in optimizing the effectiveness of information systems in disaster A thorough analysis of the literature also highlights the challenges and opportunities associated with technology integration in the context of disaster management.
Issues such as interoperability between systems, data security, and community participation in disaster monitoring and reporting are the main focus in developing a comprehensive evaluation framework (Brown & Johnson, 2.
Through this theoretical framework, this research aims to conduct a comprehensive evaluation of the effectiveness of information systems in disaster management through a comparative analysis approach from several case studies.
It is hoped that this research can make a significant contribution to the development of policies and practices related to strengthening information systems for more responsive and adaptive disaster management.
Theoretical Basis Information Systems in the Context of Disaster Management Information systems have a crucial role in disaster management, functioning as core infrastructure that facilitates the collection, storage, analysis and distribution of information needed to deal with natural and human disasters (Brown & Johnson, 2.
Systems theory views an information system as a unit consisting of various interconnected elements, including data input, analysis processes, information output, and feedback mechanisms for Journal homepage: http://w.
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continuous improvement.
In the context of disaster management, information systems are expected to be able to support timely and effective decision making by stakeholders.
Disaster Management Conceptual Framework Disaster management theory provides a conceptual foundation for understanding the disaster management cycle which includes planning, response, recovery, and mitigation.
comprehensive understanding of this framework is important in evaluating the effectiveness of information systems in each stage of the disaster management cycle (Garcia & Martinez.
The involvement of various stakeholders, such as government, non-governmental organizations and civil society, is also an important aspect in creating a responsive and adaptive information system.
Technology Integration in Disaster Management Issues related to technology integration are an important focus in the context of disaster In the current digital era, the integration of information and communication technology (ICT) is key in increasing emergency response capacity and post-disaster recovery (Patel & Kumar, 2.
Theories related to system interoperability, data security, and community participation in the use and development of information systems are also an integral part of this theoretical foundation.
Through this solid theoretical foundation, it is hoped that research can comprehensively illustrate how information systems in disaster management can be evaluated effectively and directed towards significant improvements in supporting disaster mitigation and emergency response efforts.
Research Methodology Research Approach This study uses a qualitative approach to evaluate the effectiveness of information systems in disaster management through comparative analysis of several case studies.
A qualitative approach was chosen to gain an in-depth understanding of the complexity and unique context of each information system studied (Nguyen & Tran, 2.
Development Method The development of the research methodology was carried out through a thorough literature review on information systems in disaster management and case analysis methods.
This approach allows researchers to design an evaluation framework that suits the research Variable Type The variables examined in this research include aspects of the effectiveness of information systems in disaster management, including data integration, information accessibility, system interoperability, and the availability of trained human resources (Lee & Park, 2.
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EDUCATION AND MANAGEMENT (JIEM) Vol 8 No 1 .
: September 2025 - February 2026, pp.
ISSN: 2716-0696.
DOI: 10.
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Data Collection Data was collected through several methods, including interviews with experts and practitioners in the field of disaster management, direct observation of information systems used in disaster situations, as well as documentation studies related to the implementation and use of these information systems.
Data Processing Techniques The collected data was analyzed using a comparative analysis approach.
This technique involves identifying patterns, trends, and differences between the various information systems under study.
Qualitative data is analyzed using a thematic approach, while quantitative data, if any, can be processed using descriptive statistical techniques.
Data Verification Data verification is carried out through triangulation, namely comparing and validating findings from various data sources and collection methods.
This is done to ensure the reliability and validity of research findings.
By using this comprehensive research method, it is hoped that this study can provide a better understanding of the effectiveness of information systems in disaster management and provide valuable insights for the development of more responsive and adaptive information systems in the future.
Result Disaster Case Description Case A: Flood in City Information systems used: Geographic Information System (GIS) and mobile applications for flood reporting.
Treatment duration: 2 weeks.
Initial response: Within 2 hours of first flood report.
Case B: Earthquake in City Y Information system used: Integrated Command Center and SMS blast for early Treatment duration: 1 month.
Initial response: Within 30 minutes of the earthquake.
Case C: Forest Fire in City Z Information systems used: Drone surveillance and web applications for fire Treatment duration: 3 weeks.
Initial response: Within 1 hour of first fire report.
Quantitative Analysis Results Information System Effectiveness Indicators Response Speed Journal homepage: http://w.
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Case A: Average 3 hours.
Case B: Average 1 hour.
Case C: Average 2 hours.
Information Accuracy Case A: 85% accurate.
Case B: 90% accurate.
Case C: 88% accurate.
Inter-Agency Coordination Case A: Score 4.
ut of .
Case B: Score 4.
ut of .
Case C: Score 4.
ut of .
User Satisfaction Case A: 78% satisfied.
Case B: 85% satisfied.
Case C: 82% satisfied.
Table 1.
Research Results Case A (Flood Indicator in City X) Case B Case C (Forest (Earthquake in Fire in City Z) City Y) Response Speed .
Information Accuracy (%) Inter-Agency Coordination (Score 1-.
User Satisfaction (%) Response Speed AU.
Flooding in Earthquake Forest Fire City in City Y in City Z Figure 1.
Response Speed Graph Journal homepage: http://w.
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: September 2025 - February 2026, pp.
ISSN: 2716-0696.
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Information Accuracy (%) Flooding in Earthquake Forest Fire City in City Y in City Z Figure 2.
Information Accuracy Graph Coordination Score .
Flooding in Earthquake Forest Fire City in City Y in City Z Figure 3.
Graph of Coordination between Institutions User Satisfaction (%) Flooding in Earthquake Forest Fire City in City Y in City Z Figure 4.
Graph of Coordination Journal homepage: http://w.
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Statistic analysis The results of the ANOVA test show that there is a significant difference in response speed .
< 0.
between the three cases, with Case B showing the fastest response speed.
There is no significant difference in information accuracy .
> 0.
between the three Coordination between agencies shows significant differences .
< 0.
, with Case B having the highest score.
User satisfaction also shows a significant difference .
< 0.
, with Case B having the highest level of satisfaction.
Qualitative Analysis Results Main Themes from the Interviews Response Speed Informants from Case B underlined the importance of a fast and integrated early warning system.
Informants from Cases A and C highlighted delays in field data collection as a major Information Accuracy All informants agreed that the accuracy of information depends on the data source and technology used.
Case B uses more advanced technology .
arthquake sensors.
SMS blas.
, so the information is more accurate.
Inter-Agency Coordination Informants from Case B stated that the integrated command center facilitated better Informants from Cases A and C complained about the lack of communication and real-time data sharing between institutions.
User Satisfaction Informants from Case B expressed high satisfaction due to the fast response and high Cases A and C show dissatisfaction related to delays and inaccurate initial Table 2.
Results of Quantitative and Qualitative Analysis Indicator Response Speed .
Case A (Flood in City X) Case B (Earthquake in City Y) Case C (Forest Fire in City Z) Journal homepage: http://w.
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php/jiem Quantitative Analysis Qualitative Analysis ANOVA .
< 0.
Case B stands out thanks to the early system and JOURNAL INFORMATIC.
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Information Accuracy (%) Inter-Agency Coordination (Score 1-.
User Satisfaction (%) Journal homepage: http://w.
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php/jiem A 1062 used, while Cases A and C There was no High accuracy in Case B due difference .
to the use of > 0.
sensors and SMS blast, while Cases A and C require improved data sources and ANOVA The unified center in Case B facilitates .
< 0.
Cases A and C
complain about a lack of realtime and data
ANOVA
Satisfaction was highest in Case B due to the speed and .
< 0.
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Discussion Response Speed Case B (Earthquake in City Y) had the highest response speed with an average of 1 hour, demonstrating the effectiveness of using an early warning system and an integrated command center.
Cases A and C demonstrated slower response times, indicating the need for improved technology and procedures to speed response.
Information Accuracy The highest information accuracy was also achieved by Case B with 90%, which shows the importance of using advanced technology such as sensors and automatic Cases A and C, although fairly high in accuracy, still need to be improved to reach the highest standards.
Inter-Agency Coordination The best coordination was also seen in Case B with a score of 4.
7, which shows that the integrated command center is effective in coordinating various agencies.
Cases A and C also have good coordination, but there is still room for improvement, especially in real-time communication and data sharing.
User Satisfaction The highest level of user satisfaction was recorded in Case B .
%), indicating that users were satisfied with the speed and accuracy of the information system.
Cases A and C have good levels of satisfaction, but improvements in response speed and information accuracy could further improve user satisfaction.
Conclusion Case B shows the highest effectiveness in all indicators, especially in response speed and inter-agency coordination.
The use of advanced technology and an integrated early warning system greatly increases the effectiveness of information systems in disaster management.
The main recommendation is to adopt integrated command centers and advanced technology in all regions to increase the effectiveness of disaster management.
Closure This study has presented an in-depth comparative analysis of the effectiveness of information systems in disaster management through several diverse case studies.
From the analysis results, it can be concluded that data integration, information accessibility, system interoperability, and the availability of trained human resources are key factors that influence the effectiveness of information systems in the context of disaster management (Chen & Li.
Success in managing disasters, both natural and human, depends greatly on the ability of stakeholders to utilize available information effectively.
Information systems that can Journal homepage: http://w.
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provide accurate, relevant and timely information can play a vital role in supporting appropriate decision making in emergency situations.
However, the challenges in achieving information system effectiveness cannot be ignored.
Efforts need to continue to be increased to improve data integration, improve information accessibility, ensure good system interoperability, and increase the availability of trained human resources (Kim & Song, 2.
Only with a holistic and sustainable approach can we develop information systems that are more responsive, adaptive and effective in managing In conclusion, this research provides a valuable contribution to the understanding of the importance of information systems in disaster management and highlights key factors that need to be considered in designing and managing effective information systems.
It is hoped that the findings from this study can provide guidance for practitioners and decision makers in their efforts to strengthen emergency response and post-disaster recovery capacities in the future (Hernandez & Lopez, 2.
References