Anota, Jelucel R. <br/><br/>
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. 
<br/><br/> Thesis (Bachelor of Science in Computer Science) Cavite State University. 
<br/><br/>Includes bibliographical references. 
<br/><br/>College of Engineering and Information Technology (CEIT), Department of Information Technology  College of Engineering and Information Technology (CEIT), Department of Information Technology 
<br/><br/> ANOTA, JELUCEL R., AQUE, JETHRO B., NOFUENTE, JOHN PAUL A.,<br/>SARABUSAB, ROSS M., LARA: An Alternative Reviewer Generator System.<br/>Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University,<br/>Indang, Cavite. July 2022. Adviser: Ms. Ria Clarisse M. Sy.<br/>This study conducted from August 2021 to June 2022 aimed to develop an application for<br/>students who need to construct reviewers for incoming tests and exams. Specifically, it aimed to:<br/>to save time on developing and writing reviews, a software application that connects the<br/>developer and the user, to extract the high frequency average sentence using extractive<br/>summarization, to identify a noun word in a sentence, to implement Stop Word algorithm as a<br/>core method, to design a user- friendly and simple-to-use system, and to implement tokenization<br/>on producing questions. Python libraries such as NLTK, PDF2DOCX, and others are used to<br/>build the software. During the testing phase, 15 different files were used to test the outcomes for<br/>the summarization and creation of questionnaire. 81.19% validity was obtained from the<br/>summarization, while 71.27% for the questionnaire. Software evaluation forms based on ISO<br/>9126 were distributed (via Google Forms) and distributed to 50 randomly selected students and<br/>10 IT experts. The participants evaluated the software using the following criteria: functionality,<br/>reliability, usability, portability, efficiency, helpfulness and maintainability. The system received<br/>good ratings in all software quality areas, with an aggregate score of 4.74 from the non-technical<br/>evaluators and 4.4 from the technical evaluators. As a result, the LARA was identified as an<br/>application that may assist students in developing for their reviewers. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer systems--Development of<br/>Computer algorithms
<br/><br/><label>Dewey Class. No.: </label>005.1  / An7 2022