UPLB ICS Peak One

The nation’s ongoing modernization brings about permanent changes that lead to the loss of culture, as well as classic literature, referring to a variety of literary genres including epics. Taking advantage of the technologically advanced tools that are currently available, a platform fighter game incorporating Philippine epics which promotes Philippine culture and literature was developed. The development used the tools Unity Game Engine, Visual Studio 2019, and Aseprite, and a System Usability Scale (SUS) and semi-structured interview for testing. Scripts were made using C# for the game mechanics. Finite-state machines were used for the animations and artificial intelligence. The SUS showed a usability of ”above average” and the interview showed positive responses on the gameplay.

The COVID-19 pandemic has greatly impacted people’s ability to access healthcare services, with many individuals being reluctant to visit medical facilities for fear of contracting the virus. Teleconsultation technology has emerged as a solution to provide quality healthcare remotely, and its use is becoming increasingly common worldwide. This study was able to develop a comprehensive system that integrates appointment scheduling and teleconsultation services, with the goal of reducing the risk of COVID-19 transmission. By utilizing teleconsultation as an alternative to in-person consultations, patients can access healthcare services from the safety and comfort of their own homes. Additionally, the system features a user-friendly web application that allows administrators to approve, block, or delete users ensuring that the system operates efficiently and securely. This facilitates the smooth delivery of healthcare services to patients, improving access to healthcare services for individuals affected by the pandemic. Overall, the system provides an innovative and effective solution to address the challenges presented by the COVID-19 pandemic, making healthcare more accessible and convenient for patients.

Formal languages and automata theory are fundamental pillars of computer science. Educators recognised early on that automata theory is difficult to teach due to its theoretical nature, prompting the development and application of pedagogical tools for teaching and learning. There are numerous PC and web-based simulators, but the mobile platform is lacking, and all of the available simulators have either: only basic features; being Descriptive Language Based or Visualization Centric and accepting Structured Input in paradigm; or having a poor UI and UX when evaluated in accordance with UI guidelines and UX principles. This resulted in the development of Finite State Automata and Machines mobile (FSAM), which offers diagramming and simulation capabilities for finite state automata, pushdown automata, and turing machines. Moreover, it offers step and bulk simulations, file I/O with cross-compatibility with JFLAP, NFA conversion, and DFA minimization. There are no public C# libraries for automata building and simulation at the moment, and FSAM was built from the ground up. User evaluation was conducted using the Usefulness, Satisfaction, and Ease of use (USE) questionnaire with respondents who have used automata simulators before. Using a 7-point likert scale and calculating the mean scores, the results show that Usefulness received 6.40, Ease of Use received 6.36, Ease of Learning received 6.48, and Satisfaction received 6.53. All of the scales received a mean score of 6 (agree) to 7 (strongly agree), indicating that respondents overall agree-strongly agree with FSAM’s usefulness, ease of use, ease of learning, and satisfaction. Furthermore, the system is built and designed to be modular, allowing FSAM to be expanded and extended to other finite state machine applications and functions.

SApp, short for Sentiment Analysis Application, provides tools for data gathering, visualization, and sentiment analysis for Twitter. Sentiment Analysis and Twitter data visualization are tools that may be used to guide business people, as well as business-minded people, in creating plans and monitoring public sentiment on products or topics of interest. For SApp, the web application detailed in the paper, Twitter data was extracted using SNScrape, a powerful scraper for social networking services. Visualization utilized Plotly and Mathplotlib, presented using Streamlit. Sentiment analysis used ”twitter-roberta-basesentiment-latest,” a RoBERTa-base model trained on around 124 million tweets from 2018-2021. In addition, the libraries Deep Translator and Detect Language were used. The web application was tested using the System Usability Scale on a total of 16 respondents. This resulted in a score of 80, meaning that the system is usable and performs the task as intended, even for non-technical users.

OptiCare is a mobile vision-screening application designed to provide teleoptometry services to individuals who have limited access to eye care services. This study presents the development, implementation, and evaluation of OptiCare as a solution to the growing need for accessible and affordable eye care, including the use of near-visual acuity testing, central vision testing, and color vision testing. The usability of the application was evaluated by using the System Usability Scale (SUS) questionnaire, which yielded an average SUS score of 87.25 obtained from patients, indicating a favorable level of usability, and an average SUS score of 92.5 obtained from optometrists, reflecting an even higher level of usability.