Fanuel Juventino Palandeng, Sondy Campvid Kumajas, Kristofel Santa

A Web-Based Disaster Report Recapitulation System Using the Simple Additive Weighting Method

Introduction

A web-based disaster report recapitulation system using the simple additive weighting method. Web-based system using Simple Additive Weighting (SAW) streamlines disaster reporting, accelerates recapitulation, and objectively ranks events for improved management decisions.

Abstract

Many regional disaster management agencies still manage incident reporting through conventional, semi-manual workflows (e.g., spreadsheets and paper archives). These practices often create repetitive recapitulation tasks, increase the likelihood of data inconsistency, and produce reports that remain largely descriptive—limiting analytical support for timely, evidence-based decision-making. To address this limitation, this study develops a web-based disaster reporting and recapitulation system integrated with the Simple Additive Weighting (SAW) method to generate an event-level Impact Index for prioritization. The system is built using a Prototyping approach, enabling iterative refinement through user feedback to ensure operational fit. SAW is applied using weighted criteria—number of casualties, affected families, damage level, and disaster type—so that each recorded event can be scored and ranked automatically. In contrast to many prior disaster-related SAW applications that emphasize beneficiary selection or aid distribution, this research applies SAW for internal managerial evaluation, prioritizing disaster events themselves to support organizational review and mitigation planning. A case study at BPBD Minahasa Regency demonstrates the system’s feasibility and performance: Black Box Testing achieved a 100% functional success rate, and manual SAW verification confirmed that automated Impact Index outputs are mathematically consistent with theoretical calculations. Overall, the proposed application offers a structured and transparent analytical tool to standardize reporting, accelerate recapitulation, and strengthen decision support through objective impact-based ranking.

Review

This paper addresses a significant and common challenge faced by regional disaster management agencies: the inefficiencies and limitations inherent in conventional, semi-manual incident reporting systems. The abstract clearly articulates how current practices—relying on spreadsheets and paper archives—lead to repetitive tasks, data inconsistencies, and predominantly descriptive reports that offer minimal analytical support for timely, evidence-based decision-making. The proposed web-based disaster reporting and recapitulation system presents a timely and relevant solution designed to streamline workflows and provide much-needed analytical capabilities to improve disaster preparedness and response. The methodology is well-defined, leveraging a Prototyping approach to ensure operational fit through iterative user feedback, a sensible choice for system development. A core strength lies in the integration of the Simple Additive Weighting (SAW) method, used to generate an event-level Impact Index based on weighted criteria such as casualties, affected families, damage level, and disaster type. This application of SAW is particularly noteworthy as it shifts from its more common use in beneficiary selection or aid distribution to an internal managerial evaluation tool for prioritizing disaster events themselves. This novel approach provides a structured and objective mechanism for agencies to review past events and inform future mitigation planning, moving beyond subjective assessments. The study provides compelling evidence of the system's feasibility and performance through a case study at BPBD Minahasa Regency. The Black Box Testing achieving a 100% functional success rate, coupled with manual SAW verification confirming mathematical consistency, attests to the robustness and reliability of the developed system. Overall, this research delivers a practical, transparent, and analytical tool capable of standardizing reporting, accelerating data recapitulation, and strengthening decision-making processes through objective, impact-based ranking. It offers a valuable contribution to improving disaster management operations by empowering agencies with better data and analytical insights.

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