Page 1256

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

Development and Pilot Evaluation of DICT-EAAS: A Web-Based

Employee Attendance and Accomplishment System for Document

Workflow Automation

Ver Raquepo, John Albert Blanco, Christian Jaylord Lumanog, Marc Justine Soriano, King Christian

D. Antonio, Reymond C. Dalupang

College of Information Technology, University of La Salette, Inc., Santiago City

DOI: https://doi.org/10.51583/IJLTEMAS.2026.150400109

Received: 25 April 2026; Accepted: 30 April 2026; Published: 19 May 2026

ABSTRACT

This paper presents the development and pilot evaluation of the DICT Employee Attendance and

Accomplishment System (DICT-EAAS), a web-based platform for improving attendance-related Daily Time

Record (DTR) and accomplishment-document workflows. In the participating Department of Information and

Communications Technology (DICT) Region 2 offices in Santiago, Cauayan, and Nueva Vizcaya, attendance is

already captured through a biometric scanner that exports a PDF file. However, employees still prepare official

DTRs, accomplishment reports, adjustment slips, and supporting files through separate applications. This

fragmented workflow may cause delays, encoding errors, formatting problems, and makes submission tracking

harder to manage. DICT-EAAS was developed to bring these tasks into one process through biometric

attendance PDF upload, automated DTR generation in the required format, accomplishment report creation,

adjustment slip preparation, PDF compilation, reviewer routing, and administrator monitoring. The main feature

of the prototype is the DTR generator, which converts the biometric attendance PDF into the required employee

DTR format. The system was developed using a layered web architecture with a React + Vite frontend, Laravel

backend, Python-based document processing module, relational database, and file/template storage. A closed-

ended pilot survey was completed by six DICT employee users: three from Cauayan, one from Santiago, and

two from Nueva Vizcaya. These respondents used employee accounts to test the DTR-generation and related

document-preparation workflow. During the employee-account try-out, the reviewer and administrator processes

were explained to them, and the related dashboards were also demonstrated during the DICT office presentation.

Using an adapted ISO/IEC 25010-based five-point survey instrument, the pilot obtained an overall mean of 4.78

(SD = 0.35) and Cronbach’s alpha of 0.972. Functional suitability received the highest mean (4.94), followed by

performance efficiency (4.83). The findings suggest that DICT-EAAS is useful for organizing attendance-related

document handling, especially official-format DTR preparation, but larger role-based and longer-term validation

is still needed.

Keywords: attendance system, biometric attendance, daily time record, document workflow automation

INTRODUCTION

In many offices, attendance capture is already digital, but the documents that follow are still prepared through

separate files or applications. In the participating DICT offices, the biometric scanner produces a PDF attendance

record, yet employees still have to transfer the entries into official Daily Time Record (DTR) forms and prepare

accomplishment reports and adjustment slips in other files. This takes time, increases the chance of encoding

and formatting errors, and makes file control more difficult. When deadlines are tight, the lack of one connected

process also makes it harder for employees, reviewers, and administrators to track submission status and

accountability.

Recent studies show that digital attendance and document management systems can improve monitoring, reduce

manual work, and support more reliable record handling. In the Philippine setting, QR-based attendance systems

have improved monitoring accuracy and reduced manual errors, while digital attendance and accomplishment

Page 1257

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

reporting platforms have shown the value of linked reporting processes [2, 4]. Other Philippine studies on

document management also point to the benefits of shared repositories, routing visibility, and automated tracking

in institutional work [1, 5, 8, 9]. These studies show the value of digital attendance and document systems, but

many of them cover only one part of the workflow. Some focus on attendance monitoring, others on

accomplishment reporting, and others on routing or tracking. In the DICT offices involved in this study, the

work does not stop after attendance capture. The biometric scanner produces a PDF record, the DTR must still

be prepared in the official format, related documents must be completed, and the full set must move through

review. The gap, therefore, is not the absence of digital tools in general. It is the lack of one connected workflow

that starts with the biometric attendance PDF and carries the process through DTR generation, accomplishment

reporting, adjustment handling, file compilation, and review.

ISO/IEC 25010 continues to be widely used in software quality evaluation, including studies on automation and

information systems [7, 11]. Recent work on digital transformation in higher education and public institutions

also points to the importance of usability, quality assurance, maintainability, and security when new systems are

introduced [3, 6, 10, 12, 13].

In response to this need, the study developed and pilot-tested the DICT Employee Attendance and

Accomplishment System (DICT-EAAS). The system was designed to convert biometric attendance PDFs into

standardized official-format DTRs, support accomplishment report generation, prepare adjustment slips, compile

the required files, and route the document set for review and monitoring. Its main contribution lies in the post-

attendance workflow: after the biometric device produces the attendance PDF, the system helps employees

prepare the DTR and related documents in one connected process. Specifically, the study aimed to: (1) develop

a web-based system for processing attendance and accomplishment documents; (2) describe its major modules,

workflows, and design artifacts; and (3) gather initial pilot feedback on the developed system using selected

ISO/IEC 25010 quality characteristics.

METHODOLOGY

This study used a developmental research approach for the design, development, and pilot testing of DICT-

EAAS. System development followed the System Development Life Cycle (SDLC), particularly the stages of

planning, analysis, design, implementation, and pilot evaluation. Requirements were identified through project

meetings and stakeholder consultations with the participating DICT offices in Santiago, Cauayan, and Nueva

Vizcaya. These consultations confirmed the main workflow problem: although attendance is captured through

biometric devices, the exported PDF record still has to be manually transferred into official Daily Time Record

(DTR) forms before accomplishment reports, adjustment slips, and the complete document set can be prepared.

Other concerns raised during consultation included fragmented file handling, delayed submission, and limited

visibility of review status.

During the analysis phase, the study team prepared an Entity-Relationship Diagram, use case diagrams, and

activity or workflow diagrams to represent the system requirements and the interaction of the three main user

roles: employee, reviewer, and administrator. The design phase translated these requirements into a modular

web-based solution. The implemented modules included biometric attendance PDF upload, automated

generation of employee-specific DTRs based on the required office format, accomplishment report creation,

DTR adjustment slip generation, PDF compilation, submission to a reviewer, approval or return-for-revision

actions, notifications, and administrative monitoring.

The prototype follows a layered web architecture. The React + Vite frontend provides the browser-based

interface where employees, reviewers, and administrators log in, upload biometric attendance PDFs, prepare

documents, submit files, and monitor workflow status. The Laravel backend serves as the main application and

API layer. It handles authentication, role-based access, reviewer assignment by office, document routing,

notifications, activity logs, and file requests. For document-processing tasks, Laravel calls a separate Python

module. This module parses the uploaded biometric attendance PDF, extracts time entries, generates official-

format DTRs and related report files from templates, and merges the outputs into submission-ready PDFs.

Page 1258

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

Structured records are stored in the relational data layer, while uploaded and generated files are kept in the file

and template layer.

For the closed-ended pilot survey, the study included six completed responses from DICT employees who used

assigned employee accounts. Three respondents were from the Cauayan office, one was from the Santiago office,

and two were from the Nueva Vizcaya office. The accounts they used focused mainly on the DTR generation

and document-preparation process, which was the main workflow tested in the pilot. Since the number of

respondents was small, the paper reports the office distribution only as a general summary. It does not include

names, email addresses, detailed office-by-office comparisons, or individual response patterns.

Before answering the evaluation form, the respondents were first briefed about the purpose of the pilot and were

guided in using the employee-side features of the system. They tried the main tasks, such as navigating the

system, working with attendance-based records, generating the DTR, preparing related documents, checking the

status of submissions, and completing the document-preparation flow. Although the reviewer and administrator

accounts were not evaluated as separate survey groups, their roles were also explained to the six respondents so

they could understand what happens after an employee submits documents. This included how documents are

reviewed, approved, returned for revision, monitored, and managed. The reviewer and administrator dashboards

were also shown during the DICT office presentation, where DICT Region 2 representatives and office personnel

gave comments and suggestions for improvement.

The evaluation instrument was anchored on the ISO/IEC 25010 product quality model and was constructed by

adapting relevant items from several prior ISO/IEC 25010-based software evaluation studies rather than adopting

one questionnaire in full [7], [14], [15], [16]. The wording of the final items was adjusted to match the actual

modules, workflow, and office use of DICT-EAAS. The instrument contained 29 closed-ended items grouped

into a system-features category and selected ISO/IEC 25010 quality characteristics, namely functional

suitability, performance efficiency, compatibility, reliability, security, and usability. A five-point rating scale

was used, and mean scores were interpreted as follows: 4.21-5.00 = Very High, 3.41-4.20 = High, 2.61-3.40 =

Moderate, 1.81-2.60 = Low, and 1.00-1.80 = Very Low. Open-ended items were also included to capture

encountered problems, useful features, and suggestions for improvement.Closed-ended responses were

summarized using mean and standard deviation, while Cronbach's alpha was computed to examine the internal

consistency of the instrument. Item-level means and category-level summaries were prepared in a de-identified

workbook. To protect privacy, the public/display version of the data excludes names, email addresses,

timestamps, and row-level responses. Open-ended responses were reviewed and summarized descriptively.

Participation was voluntary, and results were reported only in aggregate form.

System Design and Main Features

The database structure of DICT-EAAS places the users table at the center of the workflow and links it with office

locations, positions, submitted documents, notifications, messages, shared PDFs, and activity logs. This design

supports role-based access, office-level reviewer assignment, and document traceability from preparation to

submission and review.

Figure 1. Entity-Relationship Diagram of the implemented DICT-EAAS database structure.

Page 1259

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

The use case models show a clear division of responsibilities across the employee, reviewer, and administrator

roles. Employees prepare and submit documents, reviewers inspect and decide on submissions, and

administrators manage users and monitor overall system activity.

Figure 2. Selected use case views for employee, reviewer, and administrator roles.

The workflow model shows how DICT-EAAS turns the existing biometric-attendance-to-document process into

a continuous digital process. Instead of manually re-encoding the PDF attendance export from the biometric

scanner into office-specific DTR forms, an employee uploads the attendance PDF to the system, which extracts

and converts the record into the required individual DTR. The employee can then generate the accomplishment

report, prepare an adjustment slip when needed, compile the required files into a single PDF, and submit the

package for evaluation. Reviewers can inspect, approve, sign, or return the document set for revision, while

administrators can monitor submissions, statuses, and user actions.

Figure 3. Activity diagram of attendance-derived document processing and approval workflow in DICT-EAAS.

Page 1260

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

Figure 4. System flow showing draft, submission, review, and outcome handling in DICT-EAAS.

Prototype System Architecture

Figure 5 presents the prototype architecture through an icon-based view of the main system components and

their interactions. On the left, employees and administrators access the system through the web interface and

upload the biometric attendance PDF generated by the existing scanner. At the center, the React + Vite frontend

sends requests to the Laravel backend, which manages authentication, role-based access, reviewer assignment

by office, document routing, notifications, and audit logging.

Figure 5. System architecture of the DICT-EAAS prototype.

As shown in the figure, Laravel serves as the coordinating application layer between the browser-based interface

and the document-processing services. Whenever attendance conversion or report generation is requested,

Laravel calls a separate Python module to parse the uploaded biometric PDF, extract time entries, prepare

official-format DTRs and related report files from templates, and merge the outputs into submission-ready PDFs.

Structured records such as users, office assignments, submissions, notifications, and activity logs are stored in

the relational database, while uploaded files, generated documents, and reusable templates are kept in file

storage. This setup keeps the presentation layer, workflow control, document processing, and storage functions

clearly separated within the prototype.

Page 1261

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

The main modules of the system are summarized in Table 1.

Module

Primary Function

Main User(s)

Output / Result

Biometric Attendance

PDF Upload and DTR

Generation

Uploads the attendance PDF exported

from the biometric scanner and converts

it into an employee-specific Daily Time

Record using the official format.

Employee

Generated official-

format DTR for

review or

download

Accomplishment

Report Generator

Creates a standardized accomplishment

report from user-supplied task details.

Employee

Formatted

accomplishment

report

DTR Adjustment Slip

Prepares correction requests for

attendance discrepancies.

Employee

Adjustment slip

document

PDF Compiler

Combines the generated DTR,

accomplishment report, adjustment slip,

and supporting attachments into a single

submission-ready PDF.

Employee

Compiled PDF

submission

package

Submission and

Review Workflow

Routes compiled documents to the

assigned reviewer and records approval

actions.

Employee,

Reviewer

Approved,

returned, or

pending

submission

Administrative

Monitoring

Tracks user accounts, submission status,

and system activities.

Administrator

Monitoring

dashboard and

audit visibility

Table 1. Core modules of DICT-EAAS and their functions.

To clarify the processing dependencies, the biometric attendance upload, DTR generation, and PDF compilation

modules rely most directly on the Python document-processing module. Account control, reviewer assignment,

routing, notifications, activity logs, and monitoring are mainly coordinated through Laravel and the relational

database.

Interface Views

Figures 6 to 8 present selected interface screenshots captured from the implemented React frontend for the

employee, administrator, and reviewer roles.

Page 1262

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

Figure 6. Employee dashboard of DICT-EAAS.

The employee dashboard is the main working page for regular users in the web interface. It shows a summary

of total submissions, drafts, submitted files, and approved documents. It also provides quick access to common

actions such as creating a new submission, continuing saved work, checking submitted files, and updating profile

information.

Figure 7. Administrator dashboard of DICT-EAAS.

The administrator dashboard supports platform monitoring and control. It summarizes the number of users by

role and shows recent audit log entries. This view helps the administrator track activity, review access records,

and oversee daily system operations.

Figure 8. Reviewer dashboard of DICT-EAAS.

Page 1263

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

The reviewer dashboard shows the pending, approved, declined, and total processed submissions for the assigned

reviewer. It also displays the pending review list with actions for viewing, downloading, approving, uploading,

or declining submitted documents. This view supports the review and decision stage of the document workflow.

RESULTS

Task Completion and Observed Issues

During the try-out, all six employee-account respondents completed the guided walkthrough and submitted

usable evaluation forms. The walkthrough covered DTR generation and related document preparation. No major

task failure was reported during the guided walkthrough, although no separate assistance log was prepared for

each participant.

Since the try-out was guided, the study does not claim that the users completed the tasks without help. This is

treated as a study limitation. One respondent mentioned minor areas for improvement, such as bullet formatting

in the accomplishment report, the default DTR download type, and some layout details. These were treated as

minor revisions, not serious errors. The item on raw attendance upload and DTR generation received a mean of

5.00, showing that the DTR generator was the most useful feature of the prototype.

During the employee-account try-out, the reviewer and administrator workflow was explained to the respondents

so they could understand the full document process after submission. The reviewer and administrator dashboards

were also shown during the presentation to the participating DICT offices. DICT Region 2 representatives and

office personnel gave comments and suggestions for improvement. However, the survey ratings came only from

the six employee-account respondents. For this reason, the results mainly reflect hands-on testing of the

employee DTR workflow, while the ratings related to reviewer and administrator functions should be understood

as feedback based on the explained and demonstrated workflow.

The survey was completed by six DICT employee users: three from Cauayan, one from Santiago, and two from

Nueva Vizcaya. All categories received very high ratings. The overall mean was 4.78, with a standard deviation

of 0.35 based on respondent-level mean scores. The pilot instrument also had a Cronbach’s alpha of 0.972. Since

only six employee-account respondents joined the evaluation, the findings should be read as early feedback on

usability and practical fit, especially for DTR preparation, and not as proof of full deployment effectiveness.

Category

Items

Mean

Interpretation

System Features

4.81

0.32

Very High

Functional Suitability

4.94

0.14

Very High

Performance Efficiency

4.83

0.41

Very High

Compatibility

4.58

0.66

Very High

Reliability

4.78

0.40

Very High

Security

4.67

0.52

Very High

Usability

4.79

0.51

Very High

Table 2. Pilot testing summary based on the survey workbook (n = 6).

Note. Category means were computed from the closed-ended item ratings under each dimension. Category SDs

are based on respondent-level category mean scores.

Page 1264

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

Figure 9. Mean pilot scores by quality category based on the employee-account survey (n = 6).

Among the rated dimensions, functional suitability obtained the highest category mean (4.94), suggesting that

users found the system able to perform its intended tasks appropriately. Performance efficiency followed with a

mean of 4.83, while system features received a mean of 4.81. Usability (4.79), reliability (4.78), and security

(4.67) also received very high ratings. Compatibility obtained the lowest mean (4.58), but it remained within the

very high range. At the item level, raw attendance upload and DTR generation received the highest possible

mean (5.00), which further supports the DTR generator as the prototype's most useful feature during the

employee-account pilot.

DISCUSSION

The pilot results suggest that DICT-EAAS fits the immediate document workflow needs observed in the

participating DICT offices, especially the employee-side preparation of DTRs. Its practical value is not in

attendance capture alone, since attendance data are already generated through the existing biometric device. The

stronger value is in what happens after the biometric export: the system helps convert the attendance PDF into

the official DTR format, prepares related documents, compiles files, and supports routing for review. In this

sense, the DTR generator is the strongest feature of the prototype because it directly reduces the repetitive

transfer of attendance entries into the required DTR form.

The quantitative findings show strong early user acceptance among the six employee-account respondents.

Functional suitability received the highest category mean, which indicates that respondents found the system

able to perform the tasks expected of it during pilot use. Performance efficiency, system features, usability,

reliability, and security also received very high ratings. Compatibility obtained the lowest mean among the

measured dimensions, but it still remained within the very high range. Taken together, these results provide

initial support for the practical fit of the prototype in its intended office setting, while still requiring caution

because the survey was small and role-specific ratings for reviewers and administrators were not separately

collected.

The open-ended feedback generally supported the survey results. Most comments did not report major difficulty

during the try-out. The few issues raised were practical and specific, such as bullet formatting in the

accomplishment report, the default DTR download type, and minor user-interface polishing. In the positive

comments, respondents pointed to the usefulness of automatic time-log extraction, DTR and accomplishment

report generation, and the clarity of the interface. These comments show that the prototype was understandable

and useful for the employee DTR workflow during the pilot.

Page 1265

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

The findings are also in line with earlier work showing that attendance systems, records systems, and document-

tracking platforms become more useful when they reduce repetitive manual handling and make workflows easier

to follow [1, 5, 8, 13]. DICT-EAAS differs from QR-based attendance systems that focus mainly on capturing

attendance [2] because it starts after the biometric attendance record has already been produced and then handles

the official DTR and related document workflow. It also differs from systems centered mainly on attendance

and accomplishment reporting [4] because it connects the DTR output with compilation, routing, and reviewer

handling. This does not yet establish broad organizational impact, but it shows a clear and practical workflow-

integration contribution.

Limitations

This paper should be read as a development and pilot validation study. The survey involved only six employee-

account respondents from the participating offices: three from Cauayan, one from Santiago, and two from Nueva

Vizcaya. Because of this small sample, the results provide only early user feedback and should not be

generalized. The survey mainly reflects the employee DTR-generation and document-preparation workflow. The

reviewer and administrator workflow was explained during the employee-account try-out and shown during the

DICT office presentation, but these roles were not separately evaluated through hands-on testing by independent

reviewer and administrator respondent groups. The evaluation also used mainly descriptive statistics and internal

consistency results, which are suitable for an initial prototype check but not enough to prove wider organizational

impact. Since the guided try-out was done with the developers present, some ratings may have been influenced

by assistance or familiarity with the team. Future validation should include longer unsupervised use, independent

evaluators, separate role-based respondents, a more balanced office distribution, and measures such as time

saved, error reduction, and submission speed.

CONCLUSION

DICT-EAAS was developed as a practical response to a workflow in which biometric attendance data are already

available, but the preparation of official DTRs and related documents remains separate and largely manual. By

combining biometric attendance PDF upload, automated official-format DTR generation, accomplishment report

preparation, adjustment slip creation, PDF compilation, reviewer routing, and administrative monitoring, the

system addresses the main operational issues identified during planning and analysis. The strongest evidence

from the current pilot is on the employee-side DTR preparation workflow, where the raw attendance upload and

DTR generation item received the highest rating. Overall, the findings support the practical pilot value of DICT-

EAAS for attendance-related document workflow automation in the participating DICT offices, while broader

validation through larger, role-based, and longer-term use remains necessary.

Future Work

Future work should expand the evaluation to a larger group of employee, reviewer, and administrator users

across the participating offices. A follow-up study may also deploy the system for a longer period of

unsupervised use, then compare the results with the guided pilot. Practical measures such as average time to

prepare a DTR, number of formatting corrections, submission turnaround time, and reviewer return rates should

be collected. Technical improvements may include direct biometric scanner integration, stronger compatibility

testing across browsers and devices, mobile-responsive views, and continued refinement of the accomplishment

report and DTR download options.

Ethical Considerations

Administrative permission to conduct the study and pilot implementation was obtained from the participating

DICT offices before the system try-out and data collection. The activity was conducted as a workplace-based

pilot system evaluation under agency approval and coordination. Participation was voluntary, and the purpose

of the study was explained before the activity.

The data are not shared publicly because they include sensitive internal workflow information, pilot evaluation

records, and system-related materials from the participating offices. To protect the respondents, names, email

Page 1266

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

addresses, timestamps, individual response rows, job titles, and office-by-person details were not included in the

manuscript. Results were reported only in aggregate form, including office distribution, category summaries,

item-level findings, and de-identified feedback themes.

Conflict of Interest

The authors declare no conflict of interest related to this study.

Data Availability

The data supporting the findings of this study are not publicly shared in raw form because they include sensitive

internal workflow materials, pilot evaluation records, and system-related documents used with agency

permission during the development and initial validation of DICT-EAAS. A de-identified aggregate summary

was prepared for reporting and possible review. This summary contains category results, item-level means, office

distribution counts, and de-identified feedback themes, but does not include names, email addresses, timestamps,

individual response rows, job titles, or office-by-person details. Additional supporting materials may be made

available by the corresponding author upon reasonable academic request, subject to agency approval and

applicable institutional restrictions.

ACKNOWLEDGEMENTS

The authors thank the Department of Information and Communications Technology (DICT) Region 2 and the

participating DICT offices in Santiago, Cauayan, and Nueva Vizcaya for their cooperation during the

development, presentation, and initial validation of the system. The authors especially acknowledge the OJT

supervisors, office personnel, and regional representatives who reviewed the prototype and noted comments for

improvement. The authors also thank the College of Information Technology of the University of La Salette,

Inc. for the internship opportunity, guidance, and support throughout the completion of the project.

REFERENCES

1. Acoba, A. G., Cunanan, C. F., Merencilla, N. E., Tejada, R. R., & Ligayo, M. A. D. (2020). JuCo-IS: A

development of web-based information system in judicial regional trial court. In 2020 IEEE 10th

International Conference on System Engineering and Technology (ICSET) (pp. 22-25). IEEE.

https://doi.org/10.1109/ICSET51301.2020.9265362

2. Agripa, D. J. B., & Astillero, S. F. (2022). Development of employee attendance and management system

using quick response (QR) code in Sorsogon State University, Castilla Campus, Philippines. European

Journal of Education Studies, 9(11), 307-320. https://doi.org/10.46827/ejes.v9i11.4545

3. Alenezi, M. (2023). Digital learning and digital institution in higher education. Education Sciences,

13(1), Article 88. https://doi.org/10.3390/educsci13010088

4. Amora, E. N. O., Romero, K. V., Amoguis, R. C., Olandria, J. E., Olandria, E. N., Bernales, A. M. J., &

Romero, P. J. B. (2021). Digital attendance and accomplishment report monitoring system (DIGIATT).

IOER International Multidisciplinary Research Journal, 3(2), 123-133. https://doi.org/10.54476/iimrj293

5. Castro, F. V., Quilon, E. R. C., & Arruejo, A. C. (2022). DocTrack: A dynamic document tracking system

for the University of Northern Philippines. Journal of Innovative Technology Convergence, 4(2), 23-34.

https://doi.org/10.69478/JITC2022v4n2a03

6. Das, D., Banerjee, S., Chatterjee, P., & Ghosh, U. (2023). A comprehensive analysis of trust, privacy,

and security measures in the digital age. In 2023 5th IEEE International Conference on Trust, Privacy

and Security in Intelligent Systems and Applications (TPS-ISA) (pp. 360-369). IEEE.

https://doi.org/10.1109/TPS-ISA58951.2023.00051

7. ISO/IEC. (2023). ISO/IEC 25010:2023. Systems and software engineering - Systems and software

quality requirements and evaluation (SQuaRE) - Product quality model. International Organization for

Standardization. https://www.iso.org/standard/78176.html

8. Libadia, M., Botangen, K. A., Lucero, P. J., & Tecson, J. (2025). Development of a web-based records

management system: An ERMS initiative for the Office of Senior Citizen Affairs in the Philippines.

Records Management Journal, 35(2), 160-179. https://doi.org/10.1108/RMJ-06-2023-0031

Page 1267

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

9. Lingaya, S. R. (2019). Towards a bespoke document tracking system for Philippine higher educational

institutions. International Journal of Recent Technology and Engineering, 8(2), 1568-1574.

https://doi.org/10.35940/ijrte.B2255.078219

10. Mishra, V. P., & Purohit, H. (2025). ICT-enabled information management system (IMS) in educational

organizations. In 2025 International Conference on Computational Intelligence and Knowledge

Economy (ICCIKE) (pp. 603-608). IEEE. https://doi.org/10.1109/ICCIKE67021.2025.11318254

11. Salomón, S., Duque, R., Montaña, J. L., & Tenés, L. (2023). Towards automatic evaluation of the quality-

in-use in context-aware software systems. Journal of Ambient Intelligence and Humanized Computing,

14(8), 10321-10346. https://doi.org/10.1007/s12652-021-03693-w

12. Syed-Mohamad, S. M., Ngah, A., Ali, A.-F. M., & Keikhosrokiani, P. (2025). Measuring software

maintainability: An exploration of metrics and continuous practices. Journal of Advanced Research in

Applied Sciences and Engineering Technology, 63(2), 181-195.

https://doi.org/10.37934/araset.63.2.181195

13. Vega-Quintana, C. A., Gallardo-Andrés, J. A., & Chinga-Ramos, C. E. (2024). Implementing a web-

based document management system to optimize operational efficiency in engineering. Pakistan Journal

of Life and Social Sciences, 22(2), 13715-13725. https://doi.org/10.57239/PJLSS-2024-22.2.00984

14. Canlas, R. B., Piad, K. C., & Lagman, A. C. (2022). An ISO/IEC 25010 based software quality

assessment of a faculty research productivity monitoring and prediction system. In Proceedings of the

2021 9th International Conference on Information Technology: IoT and Smart City (ICIT ’21) (pp. 238-

242). Association for Computing Machinery. https://doi.org/10.1145/3512576.3512619

15. Manglapuz, S. J. R., & Lacatan, L. L. (2019). Academic management android application for student

performance analytics: A comprehensive evaluation using ISO 25010:2011. International Journal of

Innovative Technology and Exploring Engineering, 8(12), 5086-5090.

https://doi.org/10.35940/ijitee.L2735.1081219

16. Handayani, F., & Mustikasari, M. (2021). Quality assurance of Sayurbox mobile application using model

ISO 25010. International Research Journal of Advanced Engineering and Science, 6(3), 176-180.

https://irjaes.com/wp-content/uploads/2021/08/IRJAES-V6N3P148Y21.pdf

Page 1268

www.rsisinternational.org

INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,

MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026

APPENDIX A

Pilot Evaluation Summary of DICT-EAAS

Because the pilot involved only a small number of respondents, this appendix presents only summarized item-

level results. It does not include names, email addresses, timestamps, individual responses, job titles, office-

specific personal details, or identifiable comments. The results are based on six employee-account respondents

who completed the pilot evaluation survey. Mean scores were interpreted using the following scale: 4.21-5.00 =

Very High, 3.41-4.20 = High, 2.61-3.40 = Moderate, 1.81-2.60 = Low, and 1.00-1.80 = Very Low.

Table A1. Summary of De-identified DICT-EAAS pilot evaluation results (n = 6)

Item Code