STORMS S A F E , T I M E L Y , A N D O P T I M I Z E D R E S P O N S E F O R H E A V Y R A I N F A L L R I S K M A N A G E M E N T S Y S T E M P R O J E C T CAN TECHNOLOGY OUTRUN THE RAINS?
A P M 2 4 3 C A P S T O N E P R O J E C T UNIVERSITY OF THE PHILIPPINES O P E N U N I V E R S I T Y SCAN ME
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COALITION OF LOCAL INNOVATORS AND MANAGEMENT ADVOCATES
Editorial Board
Ariel M. Abalos, Weather Specialist I, PAGASA
Esperanza O.Almenanza, FDRO III, FDA
Jemuelle Z. Domantay, PCG Officer, PCG
Glezel Mae D. Galenzoga, PMS
Maria Cristinellie C. Garcia, Administrative Officer V, DENR
Capt. Michael B. Imperial, Finance Service, Philippine Army
Cristian V. Martinez, Food-Drug Regulation Officer II, FDA
Sanje N. Resurreccion, Cabin Crew, Philippine Airlines
Gelyn Valera, SWO II, RTC Malolos, Supreme Court
Ma. Nica Anne Sasil, Kindergarten English Teacher, La Petite Ecole Bangkok
Faculty-in-Charge
Professor Regina A. Mendoza-Armiendo
A B O U T T H E
S T O R M S
Feeling helpless of being caught off guard by heavy downpours? In the middle of a dilemma on decision making?
What if there was a way to turn the tables?
Introducing Project STORMS - a cutting-edge system for disaster risk reduction and management ; a local innovation that aims to enhance the capacity of local government units to make timely and accurate decisions.
A system that will serve as the missing link in interpreting the PAGASA’s Heavy Rainfall Warning System (HRWS) and the government protocols on classes and work suspension.
Project STORMS helps ensure quick, logical, reliable, and data-driven decisions, providing timely and accurate information for the local government units of the Province of Bohol.
Photo by Dimitri Bong on Unsplash
PAGE 1
INTRODUCTION
An overview and the rationale of project development
PAGE 2
GRAPHICAL USER INTERFACE OF PROJECT STORS
Presents the design and functionalities of the STORMS
PAGE 3
PROJECT CHARTER
An outline of a project; includes description, stakeholders, budget, and key details
PAGE 5
WORK BREAKDOWN STRUCTURE
Breaks down a project into smaller, more manageable pieces in a hierarchical way
PAGE 7
PROJECT SCHEDULE
A roadmap that outlines the tasks, timelines, and dependencies for completing a project
PAGE 9
PROJECT BUDGET
A financial blueprint outlining the expected costs to complete all project tasks
PAGE 11
RESPONSIBILITY ASSESSMENT MATRIX
Defines roles, responsibilities, and accountabilities of the project
PAGE 13
RISK ASSESSMENT MATRIX
Outlines the risks involved in the project and the corresponding response or action plan to address these
CONTENTS
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INTRODUCTION
In the wake of a premature class and work suspensions due to heavy rainfall weather conditions, the need for a more efficient and structured decisionmaking support system became apparent. Although there is an existing approach, it lacked a comprehensive framework for integrating weather forecasts with established guidelines. Project STORMS aims to develop and implement a system that leverages data from the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) and enhances collaboration among local government units (LGUs) and stakeholders in Bohol
The goal is to facilitate informed, datadriven decisions regarding class and work suspensions during heavy rainfall, thereby promoting disaster preparedness and resilience. This is in line with the United Nations’ Sustainable Development Goal No11 for sustainable cities and communities Additionally, the initiative seeks to bolster the local economy by minimizing lost wages and business disruptions, as well as reducing childcare issues and income loss due to unnecessary closures.
Goal
To create a data-driven decision-making system for class and work suspensions in Bohol that optimizes safety and minimizes disruptions by integrating PAGASA forecasts, heavy rainfall warnings, and government guidelines
Goal Statement
By the end of December 2024, this project aims to reduce unnecessary closures by 20% through the implementation of a simplified, data-driven decisionmaking system in Bohol, ensuring public safety during heavy rainfall.
PAGE ONE| PROJECT STORMS
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GRAPHICAL USER INTERFACE (GUI)
OF PROJECT STORMS
STORMS’ Graphical User Interface (GUI) enables users to generate decisions by having only two steps, pressing GENERATE button and DECISON button. GUI was designed using Visual Studio 2022
GENERATE BUTTON
A button that will communicate the system to get the real-time data from PAGASA in a comma-separated values (csv) file that subsequently be displayed on the GUI.
DECISION BUTTON
This button will analyze the synthesized and generated data and time displayed in the GUI and ultimately provide a quick, logical, reliable, and data-driven decisions, providing timely and accurate information.
PAGE TWO| PROJECT STORMS
PROJECT SPONSOR
PROJECT MANAGER
EXPECTED START DATE
EXPECTED COMPLETION DATE
Green Climate Fund (GCF)
Philippine Atmospheric, Geophysical, and Astronomical Services Administration (PAGASA)
01 May 2024
31 December 2024
P R O J E C T C H A
E R PAGE THREE| PROJECT STORMS
R T
T
P R O J E C T C H A R T E R
PROJECT DESCRIPTION
he system provides clear and reliable weather information, enabling local authorities in Bohol to make effective decisions about suspending work and classes during heavy rainfall It assesses various factors, such as rainfall severity and duration, and the risk to individuals and property, to guide informed decision-making This ensures the safety and well-being of the community by facilitating timely and informed actions by stakeholders
KEY REQUIREMENTS
The decision-making support system will deliver the following features:
Real-Time Weather Monitoring - The system actively monitors weather forecasts and delivers current information to guide the suspension of work and classes during heavy rainfall, enabling stakeholders to make informed decisions and prioritize safety ([1]) Operating on the principle that timely and accurate information is crucial, the system effectively mitigates risks associated with inclement weather
Multi-Factorial Analysis - In compliance with Executive Order No 66, Series of 2012, analyzing factors like the current weather system, heavy rainfall, and extended weather outlook is essential for making informed decisions on when to cancel or suspend classes and work in government offices due to the dynamic rain-bearing weather systems Gathering and analyzing this information is crucial to ensure everyone's safety and wellbeing
Accessibility and Usability - An optimized the system design for easy access and userfriendliness, allowing end-users to quickly and efficiently use as a support for decision making for suspensions during heavy rainfall
ESTIMATED COST & RESOURCES
Approximately Php 2 million including the installation of the system, maintenance, training, and salaries for the additional personnel. The project will be funded by Green Climate Fund (CGF), the world’s largest climate fund that is mandated to support developing countries raise and realize their Nationally Determined Contributions ambitions towards low emissions and climate-resilient pathways. One of the projects that was funded by the organization for the Philippines is the Multi-Hazard-Impact-Based Forecasting and Early Warning System that will strengthen the country’s ability to adjust to climate impacts, and implement long term climate risk reduction and adaptation measures (Green Climate Fund, 2019).
PROJECT TEAM
Project Manager (Weather Services Chief), System Developer (IT Officer II), IT Support Personnel (IT Officer I), Communications Officer (Information Officer III), and Administrative Staff (Administrative Asst II)
PROJECT EXIT CRITERIA
The system is working and provides up-to-date information
Reliable and able to generate accurate and precise data for decision making in suspending work and classes during heavy rainfall
User-friendly and easy to navigate With encrypted systems and security to prevent the entry of cyber-attacks and malware
PAGE FOUR | PROJECT STORMS
K B R E A K D O W N S T R U C T U R E
Project managers create a work breakdown structure (WBS) wherein the project deliverables are decomposed into a hierarchy of actionable chunks to ensure smooth delivery of the project (PMBOK Guide, 2021). The WBS for Project STORMS is subdivided into two (2) phase-based levels. The core elements that capture 100% of the work within the Project STORMS are Phases 1-5 with PAGASA as the project manager. These phases were further decomposed into smaller, manageable work packages
The defined major deliverables for each phase are as follows: Phase 1 - PT, list of stakeholders, communication plan, and the system requirements; Phase 2 – Decision support system; Phase 3 –Users/Operations Guide or Manual and the number stakeholders capacitated; Phase 4 – Installed and fully operational STORMS in the LGU; and Phase 5 – Evaluation results and Final report to the Project Sponsor
The Project STORMS is completed through the achievement of the abovementioned deliverables
PAGE FIVE| PROJECT STORMS
W O R
S T R U C T U R E
PAGE SIX | PROJECT STORMS W O
B R
R K
E A K D O W N
PROJECT SCHEDULE
The Project STORMS is divided into five (5) phases – Project Initiation; System Development;, Capacity Building for End-Users; Deployment and Implementation; and Monitoring, Evaluation and Continuous improvement.
All activities under Phase I are projected to be completed from 01 May to 26 May 2024 Phase II activities will run from 27 May to 10 June 2024. The Capacity Building for End-Users or Phase III, the second longest phase in this project with 97 working days, is set to run from 11 June to 16 September 2024 The longest phase, the Deployment and Implementation or Phase IV, will run from 17 September to 25 December, totaling 99 working days. Lastly, the Monitoring, Evaluation and Continuous Improvement or the final phase (Phase V), will require five (5) working days starting 26 December to 31 December 2024.
PAGE SEVEN | PROJECT STORMS
PROJECT SCHEDULE
Through the Gantt Chart above, Project STORMS is projected to be completed in 245 days or eight (8) months
PAGE EIGHT | PROJECT STORMS
PROJECT BUDGET
Initial Balance
PAGE NINE | PROJECT STORMS
Php 2 Million
PROJECT BUDGET
AssumptionsandLimitations
TheLGUshaveexistingdigitalplatformstoreceivetheproject,ie,computers,iPads,laptopsusedbytheirLocalDisasterRiskReductionandManagement Councils ItisalsoassumedthattheirrespectiveICTequipmentalreadyhasfunctionalandreliableanti-virus/anti-malwaresoftwareinstalled
Two current PAGASA personnel are part of the project team They may consult their co-employees in the PAGASA as needed, particularly in generating weatherinformationandinterpretingavailablemeteorologicaldata
TheexistingPAGASAequipmentcrucialfordatagatheringwillalsobeusedintheimplementationoftheproject ABenefit-CostRatio(BCR)maynotbeapplicablefortheprojectsinceitisanon-profitinitiativeofPAGASA Theexpectedbenefitsoftheprojectaremostly intangible and cannot be accurately quantified Considering the extreme sensitivity of the BCR to cash flow forecasts and discount rates (Corporate FinanceInstitute,nd),assigningamonetaryvaluetointangiblebenefitsmayleadtoanincorrectresult
MonitoringandEvaluation:AMust
However, the group underscores that the project can provide more benefits with minimal costs to the project sponsor and to the government This can be assessed through careful monitoring of the accuracy, efficiency, and timeliness of the generated data and/or recommendations from the Project STORMS TheprojectteamshouldcollectandanalyzetheregularreportsfromtheLGUsastheyutilizethesystem
Significant analytical data needed for monitoring and evaluation would include: no of accurate recommendations generated by the system; decrease in the frequency of unnecessary work and class suspensions; time it took for the system to generate the needed localized heavy rainfall data; feedback of the endusersontheuser-friendlinessofthesystem;systemissuessuchastechnologicalglitchesand/orno ofoccurrenceofsystemfailuresorlags Amongthemonitoringandevaluationtoolstobeemployedare:
DataCollectionandAnalyticsfromtheLGUreports; SurveyofLGUwork/classsuspensionrecords(before,during,andafterdeploymentofSTORMS); Interviews(FocusGroupDiscussionsorIndividualQuestionnaires);and ClientSatisfactionSurveys
PAGE TEN | PROJECT STORMS
RESPONSIBILITY ASSIGNMENT MATRIX
This section outlines the specific activities throughout the five phases of the project and defines the roles and responsibilities of all those involved Its primary purpose is to ensure clarity of work delineation and accountability throughout the project cycle It follows the RACSI framework, which represents the following roles and responsibilities of teams and/or individuals (Roberts, 2024).
In the crafting and completion of this RAM, the project leadership, project team members, project end-users, and relevant stakeholders have been consulted prior to its approval This will also be communicated to them to ensure that everyone has a clear grasp of their respective roles and responsibilities, and agrees to fulfill what is assigned to them Moreover, this RAM will be regularly reviewed and updated as necessary should there be significant developments throughout the evolution of the project. As Roberts (2024) has emphasized, it should remain current, clear, relevant, and timely given the possible evolving needs of the project.
PAGE ELEVEN | PROJECT STORMS
RESPONSIBILITY ASSIGNMENT MATRIX
PAGE TWELVE | PROJECT STORMS
Thelackof24/7
Theavailabilityof PAGASAstafftodevelop andmaintainthesystem
Maintainactivecommunicationthrough multiplechannelsbetweenPAGASAand theLGUstoensurethatadequatestaff areavailabletomonitorupdates
SignacontractwithanestablishedNGO thathasalong-standinginvolvement withsustainableprojectsinthecountry, suchastheGreenClimateFund
PAGASAsendsinformationthroughtext messages
TrainCDRRMOstaffonhowtomonitor therainfallpriortothelaunchofthe program
Providelearninganddevelopment opportunitiestailoredtotheneedsof theITstaff
Providebenefitsinlinewithexisting laws(eg overtimepay,compensatory time-off,transportationallowanceor freeshuttleservice,foodallowance,and medicalinsurance)
Hirein-housedevelopertoensurea regularandtimelyupdateofthesystem Itisalsotoascertainaccountability
Purchaseatrustedandreliable cybersecuritysoftware
Among the identified risks, poor internet connectivity was ranked the highest due to the prevalent inaccessibility to a stable connection found among Filipino households. The Philippine Statistics Authority (2023) reported that only 56.1% of the Filipino households surveyed had access to the Internet. This issue is further exacerbated by the power outages continuously experienced across all regions particularly in the disaster-prone areas in the Visayas (Belmonte, 2024) However, the establishment of the City Risk Reduction Management Offices (CRRMO) as part of the National Disaster Risk and Reduction and Management Plan 2020-2030 has enabled every LGU to have 24/7 staff available Training the CRRMO staff to gauge rainfall conditions safeguards a backup in the event of a power outage or the lack of an Internet connection It can also be contingent should text messages fail due to poor network connectivity.
Further into the technological risks, cyberattacks leading to the propagation of misinformation or inaccessibility to the program were also identified Investing in a reliable and trusted software to protect the program is imperative However, attacks can also stem from design limitations, which entails the indispensability of hiring a highly qualified software developer (National Cybersecurity Centre, 2016) To this end, introducing a preventive and accountable measure is imperative Hiring an in-house software developer who can continuously monitor, upgrade, and redesign the system caters to this need, and it also mitigates the program’s vulnerability to attacks.
Financing was also seen as a risk albeit not as severe as connectivity Currently, the Green Climate Fund has been a reliable partner in sustainable projects in the country In this respect, gaining a stable source of finances can attract IT staff to help develop the program towards its launch Lowering the turnover rates can be challenging, but providing competitive benefits in the form of subsidies, time offs, and career development opportunities aids in securing tenure (Andrews and Mohammed, 2020)
Overall, the implementation of this project is greatly challenged by technological and financial constraints. Ensuring that these factors are addressed and prioritized during the implementation phase can lead to an enhanced response, particularly in disaster-prone areas
RISK ASSESSMENT MATRIX
PAGE THIRTEEN| PROJECT STORMS RISK LIKELIHOOD IMPACT RISKRATING RESPONSE(ACTION)
emergencyresponse staffinLGUs 2 5 10
sustainthedurationof theproject implementation 2 5 10
Thelackoffinancingto
Poorinternet connectivity 5 5 25
2 5 10
Cyberattack 3 5 15
REFERENCES
Andrews, K.S., & Mohammed, T. (2020). Strategies for Reducing Employee Turnover in Small- and MediumSized Enterprises. Westcliff International Journal of Applied Research, 4(1), 57-71. https://doi.org/10.47670/wuwijar202041KATM
Belmonte, K (2024, April 28) Power to the People Philstar https://qa philstar com/newscommentary/2024/04/28/2351102/power-people
Corporate Finance Institute (n d ) Benefit-cost ratio https://corporatefinanceinstitute com/resources/accounting/benefit-cost-ratiobcr/#:~:text=The%20BCR%20is%20extremely%20sensitive,should%20not%20be%20relied%20on
Green Climate Fund (2019, March 05 ) SAP010: Multi-Hazard Impact-Based Forecasting and Early Warning System for the Philippines Retrieved from https://www greenclimate fund/: https://www greenclimate fund/project/sap010
National Cybersecurity Centre (2016) Common Cyberattacks: Reducing the impact https://www ncsc gov uk/files/common cyber attacks ncsc pdf
PMBOK Guide by Project Management Institute
Roberts, S (2024 January 02) Responsibility assignment matrix: A complete overview [Blog] The Knowledge Academy https://www theknowledgeacademy com/blog/responsibility-assignmentmatrix/
The Philippine Statistics Authority (2023) More than 50 million have Access to the Internet (2020 Census of Population and Housing) https://www psa gov ph/statistics/population-andhousing/node/1684059979
PAGE FOURTEEN | PROJECT STORMS
Panglao, Bohol by Ariel M. Abalos