Chapter 5
SUMMARY, CONCLUSION, AND RECOMMENDATION
       This chapter presents the summary, conclusions, and recommendations based
on the result and/or findings of the project.
Summary
       The primary goal of this project is to automate Bayambang's manual contact
tracing process. Manual contact tracing is a work that public health authorities do to
keep track of and interview persons who have been diagnosed with infectious illnesses.
Public health officials use those interviews and other research to find out who else a
proven sick individual may have come into touch with and transferred the disease too.
To avoid future transmission, the objective is to find, isolate, and treat possibly infected
people.
       However, manually tracking individuals who may have a contagious illness takes
time, and the virus may spread before a public health official can track them down. All
processes will be automated with the developed system, saving time and accurately
tracing all persons who may be afflicted with a contagious illness.
STATEMENT OF THE PROBLEM/OBJECTIVES
             The goal of this study is to design and develop a web-based app called
      Bayambang Contact Tracing System that will allow users to easily record their
      information, track them when they enter a business and alert the LGU
      Bayambang if someone has been infected with a highly communicable disease.
      To accurately identify all people infected with a serious illness, as well as all of
      their close contacts, to quickly halt the spread of a lethal virus by (1) Identifying
      the existing Process of Contact Tracing in Bayambang, (2) Identifying the
      Hardware and Software Requirements, (3) Features of the Developed Contact
      Tracing App, (4) Usability of the Contact Tracing App.
METHODOLOGY
      Bayambang Contact Tracing System was created to reduce manual work in
Bayambang government offices. The modeling and preparation utilized in the project
Bayambang Contact Tracing System development provided as project direction,
allowing the proponents to have a well-organized system and avoid system failure. The
Waterfall Model was proposed by proponents as a way to structure the system's
processes. The Waterfall Model is a sequential model that splits software development
into discrete phases. Each step must be completed before moving on to the next, with
no overlap between them. During the SDLC phase, each phase is meant to accomplish
a certain activity. The Waterfall model was personally favored by the proponents
because it is the easiest to maintain. Because each phase has specific deliverables and
a review procedure, the project is completed faster, the process and outcomes are
accurately documented, and this project management technique aids in the
management of dependencies.
SALIENT FINDING
        The proponents came up with substantial conclusions after conducting the
study, conducting the survey, and handling the data using correct statistical procedures.
      Because not everyone in Bayambang has an email account, which is required to
participate in an online survey, the proponents employed a Stratified Random
Sampling method and concentrated on adults ranging from 22 to 34 years old. The
proponents discovered that the majority of responses were female, accounting for 17  or
57% of the total population. The majority of responders are between the ages of 22 and
25, accounting for 47% of the population.
      The survey result for the usability testing of the developed system in terms of
Efficiency shows that the overall mean score of the survey is 3.70, which means that
the developed system is acceptable in terms of efficiency.
       In terms of effect, according to the survey, the developed system received a
weighted mean score of 3.70, indicating that respondents agreed that the system had a
significant impact on them and received an interpretation of usable.
       In terms of Helpfulness, according to the survey, the developed system received
a weighted mean score of 3.68. The respondents agreed that the developed system
was beneficial to them, and had a great help to them.
       In terms of Control, according to the survey, the developed system received a
weighted mean score of 3.62, indicating that the respondents found the system to be
simple to use and agreed that the developed system's control is very usable.
       And lastly, in terms of Learnability, according to the survey, the developed
system received a weighted mean score of 3.67. Respondents agreed that the
developed system is easy to learn.
       To assess the level of usability of the developed system, the total report of the
survey conducted by the proponents was summarized. The developed system, entitled
"Bayambang Contact Tracing System," achieved a total mean score of 3.67, indicating
that it is usable.
CONCLUSION
  The proponents concluded the following:
1. The use of manual contact tracing has several issues, including the time it takes
   to locate an individual, the fact that it cannot trace all individuals with whom a
   positive individual had contact, only those he/she knows or remembers, and the
   fact that it may endanger the individual doing the contact tracing. All of these
   issues will be addressed effectively and can be improved by automating the
   manual process of contact tracing. With accurate contact tracing and rapid
   report production, all positive persons may be addressed effectively and in a
   timely way. With these, the developed system can prevent the spread of a very
   contagious disease.
2. During the development phase of the said system, the proponents employed a
   variety of tools with high specifications to create a trustworthy and user-friendly
   system that might assist public health officials in their work. During the system's
   deployment phase, the LGU and business establishments can run the system
   with minimal system needs. Even if their tool specifications are minimal, the
   proponents guarantee that the system will work smoothly and without problems.
3. Several new contact tracing programs are being developed to combat COVID-
   19, even though contact tracing is frequently utilized. Each contact tracing app
   has unique features. The proponents demonstrate the features of their
       developed contact tracing system, as well as how it differs from other contact
       tracing apps since each is unique. The developed system demonstrates its
       characteristics and distinction from other contact tracing applications through the
       aesthetic appearance of the system, the rapid generation of accurate reports,
       user-friendly controls, and a dependable system.
    4. The proponents surveyed for 30 random respondents to test the usability of the
       proposed technology. Proponents employed Stratified Random Sampling, with a
       focus on adults only aged from 22 to 34 years old. Based on the result of the
       survey, the developed system got a mean score of 3. 70 in terms of Efficiency,
       a total of 3.70 mean score in terms of effect, a total mean score of 3.68 under
       Helpfulness, a mean score of 3.62 under Control, and lastly a 3.67 mean score
       under Learnability. With a weighted mean score of 3.67, the developed system
       got an interpretation of moderately agree in the Likert Scale.
Recommendations
       Concerning the conclusion and findings, the proponents would recommend the
following:
   1. The developed system should be able to use by small business establishments,
       the Sari-Sari store, the public market, and any other places that are small and not
       accredited by the LGU Bayambang.
   2. The developed system should be able to pinpoint the location of the user anytime
       and anywhere.
   3. Two-way Identification of the user.
   4. It is highly recommended that the developed system should have an Application.
   5. Highly recommended to use to a developed system with a computer with high
      specification.
   6. The developed system should be able to use Bluetooth or signal towers to trace
      the user’s location.
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Anna Joy D. Vitto Web-based Document Management and Tracking System for
National Food Authority
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