LARA : an alternative reviewer generator system /
Anota, Jelucel R.
LARA : an alternative reviewer generator system / by Jelucel R. Anota, Jethro B. Aque, John Paul A. Nofuente and Ross M. Sarabusab. - Indang, Cavite : Cavite State University- Main Campus, 2022 - xiv, 99 pages : illustrations ; 28 cm.
Thesis (Bachelor of Science in Computer Science) Cavite State University.
Includes bibliographical references.
College of Engineering and Information Technology (CEIT), Department of Information Technology College of Engineering and Information Technology (CEIT), Department of Information Technology
ANOTA, JELUCEL R., AQUE, JETHRO B., NOFUENTE, JOHN PAUL A.,
SARABUSAB, ROSS M., LARA: An Alternative Reviewer Generator System.
Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University,
Indang, Cavite. July 2022. Adviser: Ms. Ria Clarisse M. Sy.
This study conducted from August 2021 to June 2022 aimed to develop an application for
students who need to construct reviewers for incoming tests and exams. Specifically, it aimed to:
to save time on developing and writing reviews, a software application that connects the
developer and the user, to extract the high frequency average sentence using extractive
summarization, to identify a noun word in a sentence, to implement Stop Word algorithm as a
core method, to design a user- friendly and simple-to-use system, and to implement tokenization
on producing questions. Python libraries such as NLTK, PDF2DOCX, and others are used to
build the software. During the testing phase, 15 different files were used to test the outcomes for
the summarization and creation of questionnaire. 81.19% validity was obtained from the
summarization, while 71.27% for the questionnaire. Software evaluation forms based on ISO
9126 were distributed (via Google Forms) and distributed to 50 randomly selected students and
10 IT experts. The participants evaluated the software using the following criteria: functionality,
reliability, usability, portability, efficiency, helpfulness and maintainability. The system received
good ratings in all software quality areas, with an aggregate score of 4.74 from the non-technical
evaluators and 4.4 from the technical evaluators. As a result, the LARA was identified as an
application that may assist students in developing for their reviewers.
Computer systems--Development of
Computer algorithms
005.1 / An7 2022
LARA : an alternative reviewer generator system / by Jelucel R. Anota, Jethro B. Aque, John Paul A. Nofuente and Ross M. Sarabusab. - Indang, Cavite : Cavite State University- Main Campus, 2022 - xiv, 99 pages : illustrations ; 28 cm.
Thesis (Bachelor of Science in Computer Science) Cavite State University.
Includes bibliographical references.
College of Engineering and Information Technology (CEIT), Department of Information Technology College of Engineering and Information Technology (CEIT), Department of Information Technology
ANOTA, JELUCEL R., AQUE, JETHRO B., NOFUENTE, JOHN PAUL A.,
SARABUSAB, ROSS M., LARA: An Alternative Reviewer Generator System.
Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University,
Indang, Cavite. July 2022. Adviser: Ms. Ria Clarisse M. Sy.
This study conducted from August 2021 to June 2022 aimed to develop an application for
students who need to construct reviewers for incoming tests and exams. Specifically, it aimed to:
to save time on developing and writing reviews, a software application that connects the
developer and the user, to extract the high frequency average sentence using extractive
summarization, to identify a noun word in a sentence, to implement Stop Word algorithm as a
core method, to design a user- friendly and simple-to-use system, and to implement tokenization
on producing questions. Python libraries such as NLTK, PDF2DOCX, and others are used to
build the software. During the testing phase, 15 different files were used to test the outcomes for
the summarization and creation of questionnaire. 81.19% validity was obtained from the
summarization, while 71.27% for the questionnaire. Software evaluation forms based on ISO
9126 were distributed (via Google Forms) and distributed to 50 randomly selected students and
10 IT experts. The participants evaluated the software using the following criteria: functionality,
reliability, usability, portability, efficiency, helpfulness and maintainability. The system received
good ratings in all software quality areas, with an aggregate score of 4.74 from the non-technical
evaluators and 4.4 from the technical evaluators. As a result, the LARA was identified as an
application that may assist students in developing for their reviewers.
Computer systems--Development of
Computer algorithms
005.1 / An7 2022