HEALTHLINE: A MOBILE APPLICATION SCHEDULING SYSTEM WITH CHATBOT-BASED SYMPTOMS CHECKER AND AUTOMATED TRIAGE CLASSIFICATION

Danielle Nicole R. Camaclang, Deutschazy Hannah Rupiah B. Estrada,

Mark Jonah G. Ticlao, Maryli F. Rosas

College of Science and Computer Studies, De La Salle University – Dasmariñas, Dasmariñas, Cavite

ABSTRACT

In this pandemic era, the hospital imposed strict guidelines on the number of persons who can enter their facility. Most people face different difficulties in booking a medical appointment traditionally, and most hospitals in the Philippines have a hard time managing all the work. De La Salle University Medical Center (DLSUMC) is one of the hospitals which still utilizes the traditional way of scheduling an appointment. In response to the problems of the traditional scheduling system, the Healthline web portal and a mobile scheduling application was developed. This study aimed to improve the quality of service that DLSUMC offers to its patients by providing a more flexible and efficient online appointment system, automated symptoms checker utilizing Chatbot Artificial Intelligence, and automatic triage level detection.  In the approach, a descriptive method was used and ISO 25010:2011 based evaluation questionnaire was utilized to test and evaluate the web and mobile applications. As a result, among the ninety selected respondents, 72 out of 90 respondents perceived to be very satisfied with the developed systems. Web application successfully works well when gathering the vital information of the patient/s, medical history and symptoms, and preliminary diagnosis of the patient’s illness. Moreover, it shows an increase in the efficiency of physicians in diagnosing a patient and determining the urgency of the patient’s condition.  Therefore, integrating an optimal software solution based on a programmed Chatbot Artificial Intelligence and scheduling system for mobile applications with automated triage classification will give competitive advantage on online healthcare services of DLSUMC.  These developed Healthline systems were an effective way to increase the efficiency of physicians in diagnosing a patient, improving the patient experience, and helping the physicians and staff manage their workload.

Keywords: Chatbot-based Symptoms Checker; Appointment System; ISO 25010:201Quality Model; Web Application, Mobile Application

Full Article

ECONOMIC PERFORMANCE OF THE PHILIPPINES: A MULTIPLE REGRESSION ANALYSIS ON PRODUCER PRICE AND CONSUMER PRICE INDEX

¹De La Salle University – Dasmariñas, Dasmariñas, Cavite

²Jose Rizal University

ABSTRACT

The economic growth of the Philippines factors the Food and Beverages sector in which there are two indices that indicates inflation. Several studies have suggested that the exchange rate has great influence on Consumer and Producer Price Index. The quantitative data were gathered from the website of Banko Sentral ng Pilipinas, where Multiple Regression is used to predict the Producer and Consumer Price Indexes of Food and Beverages from 2018 to 2020. This paper has also considered the El Nino and La Nina seasons, which concluded that there is no significant impact on the price index of Food and Beverages in connection, however, petroleum products such as diesel have a significant effect on the price indexes of Food and Beverages. Consumer Price Index significantly affects inflation and is linked to the cost of living, decision and policy makers should further study the long-term effects of policies implemented to consumers.

Keywords: Producer Price Index; Consumer Price Index; Multiple Regression

Full Article

TEXT SUMMARIZATION AND SENTIMENT ANALYSIS OF HASHTAG ACTIVISM TWEETS IN THE TIME OF PANDEMIC

¹De La Salle University – Dasmariñas, Dasmariñas, Cavite

²Jose Rizal University

ABSTRACT

The COVID-19 pandemic changed most people’s flow of life, including the stoppage or decreased protests and rallies in the streets to resolve social conflicts. When the pandemic hit, social media became a valuable tool to voice the marginalized community. Hashtag activism has become rampant since the start of the pandemic. In this study, the Naive Bayes and Maximum Entropy algorithms classify sentiments of Twitter users on whether they support or reject the various movements. Maximum Entropy, with an accuracy of 79.94%, showed that all four movements used in the study are supported through tweets. Naive Bayes, which posted an accuracy of 77.42%, presented that the gathered tweets support only one of the four motions. The TF-IDF and Textrank algorithms created summaries of the social media events by hashtag using the resulting top 30 sentences.

Keywords: Text Summarization, Sentiment Analysis, Data Mining, Social Media Mining, Twitter, Hashtag Activism

Full Article

AppGuroSH: RECRUITMENT AND CLASSIFICATION WITH AUTOMATIC POINTS ASSIGNMENT IN SENIOR HIGH SCHOOL APPLICANT INFORMATION SYSTEM

¹De La Salle University – Dasmariñas, Dasmariñas, Cavite

²Polytechnic University of the Philippines

ABSTRACT

In the Philippine public basic education system, there has been no system that automates the recruitment process for teacher applicants. This paper has developed a teacher recruitment system in a Senior High School setting. It intends to help the selection committee to classify the applicants to the correct subject group. Likewise, this will help teacher applicants process their own application without any redundancy or missing documents. The researcher used Descriptive Developmental method of research. To achieve accuracy in the classification of subject group, the researcher has adopted Google Rank Brain algorithm as reference.

According to the result of the study, the following conclusions and generalizations were realized: manual application of teachers requires so much time and might repeat the process due to lack or incorrect documents submitted, hence, incorrect score may be given to the applicants. As a result, they may be profiled to incorrect subject group. Overall, the system was highly accepted by the respondents when it comes to the system’s features and intelligent component which were helpful since it addresses the challenges encountered during the manual recruitment. The researcher therefore concluded that the system developed will ease the long process of teacher application and can be very useful in a Senior High School setting.

Keywords: Classification, Recruitment, Points Assignment

Full Article

A RECOMMENDER SYSTEM FOR DE LA SALLE UNIVERSITY-DASMARIÑAS: IN AID OF AN INTERVENTION PROGRAM

Alejo Kim Uy and Paulino Gatpandan

De La Salle University – Dasmariñas, Dasmariñas, Cavite

ABSTRACT

Some students take longer time to finish their course than the regular number of years in college. One of the reasons is that students find themselves shifting course in the later part of their academic journey. As a result, their course progress is reset. The researcher used the classification data mining technique using a decision tree to discover a list of qualified and non-qualified students in the program. Sklearn Decision Tree was the most suitable algorithm. The researcher determined the significant predictors whether a student was qualified or disqualified for a particular course. The following attributes were identified as significant attributes: the number of units the students accumulated throughout their academic study, the number of failed subjects the students had in their record, and the current general point average (GPA) of the students to determine the students’ retention. A content-based recommender system produced results that were tailored to an individual’s rule set. Academic attributes such as units, number of subjects, and GPA were usable in a recommender system for De La Salle University - Dasmariñas, with its goal of classifying students whether they should continue their current course or shift to another course. Further studies must be conducted to determine the effectiveness of the recommender system as a basis for an intervention program.

Keywords: Data Mining, Decision Trees, Recommender System, Content Based Filtering, Student Retention

Full Article

FULL JOURNAL ISSUE

JOURNAL OF ENGINEERING, COMPUTING AND TECHNOLOGY

The Journal of Engineering, Computing and Technology (JECT) is a scholarly peer-reviewed, and academic research journal for engineers, computer scientist, academicians, and research scholars aiming to publish innovative, state of the art results coming from research and advances in different aspects of engineering, architecture, computer science and information technology.  JECT is dedicated to the dissemination of advanced technologies that will be beneficial to professionals and academic researchers. It is a bi-annual publication that releases issues every June and December.

The journal is governed by an editorial board whose members specialize in each of the mentioned disciplines.  The editor in chief is elected by the members of the editorial board.

Editorial Board

Editor-in-Chief

Maryli F. Rosas, DIT (Computer Science, De La Salle University-Dasmariñas)

Associate Editor

Ma. Cristina A. Macawile, PhD (Engineering, De La Salle University- Dasmariñas)

Members

Paulino H. Gatpandan, DIT (Computer Science, De La Salle University- Dasmariñas)

Maryjoie A. Lituanas, MSES (Engineering, De La Salle University- Dasmariñas)

Mengvi P. Gatpandan, DIT (Computer Science, Jose Rizal University, Mandaluyong City)

Daniel Dasig Jr., PhD (Field, Change Management Engineer, TELUS Communication Inc., Canada)

Nestor Tiglao, PhD (Electrical and Electronics Engineering Institute, University of the Philippines – Diliman)

Atty. Rudolph Val F. Guarin (Field, FGNG Law Office)

Prof. Sonia M. Pascua (Field, Drexel University, United States of America)

Brojo Kishore Mishra, PhD (Department of CSE, School of Engineering, GIET University, Gunupur, India)

Valentina Emilia Balas, PhD (Automation and Applied Informatics, Intelligent Systems Research, University of Arad, Romania)

Editorial Assistant

Mr. Jaime Zeus C. Agustin (Research Communication, Dissemination and Utilization Coordinator, University Research Office, De La Salle University-Dasmariñas)