MCITS 2018 Abstracts

Big Data + Bigger Brains = Bigggly Paychecks

"The ability to focus attention on important things is a defining characteristic of intelligence."  
Professor Robert J. Shiller (2013 Nobel Laureate)


by Ferdinand A. Polpol & John Carlos Ochave, Ateneo de Davao University

Abstract.   Nowadays, a vehicle is fundamental for transportation, however, these vehicles may encounter problems before or during the use of them on the road. And when we encounter these problems, we must be able to find a solution to fix it. This study aims to create a vehicle maintenance simulation game with the use of Leap Motion sensor and Unity to create a game that is fun and teaches the user vehicle maintenance. The game will simulate the process of maintaining the most common vehicle problems that people encounter on a day to day basis. This study will also contribute to leap motion knowledge regarding games and simulations. This research intends to help daily vehicle users to learn maintaining their vehicles to prevent them from having problems on the road.


 by Anna Leah Capoy, Edison Detoya, Leah Mae Julian and Mat Sabudin Jr.

Abstract.  Websites may be mostly informative, primarily for entertainment, or largely for commercial purposes. For many years it has become known simply as "the Web”. Website content can largely be provided by the publishers, or interactive where users contribute content or the content depends upon the user or their actions.

This project is concerned with developing a website for commercial purposes which find the user more attractive and manageable to use. In this website the business owner of automotive in Davao City is one of our targets and the second is the people who would like to find a nearest and cheapest automotive shop and at the same time can view their services and spare parts offered.

The Online Automotive Services is a web-based capstone project that can give a big help to the automotive business shop owner to attract more possible clients through advertising their shop online. The business owners of the automotive shop will first register their shop and afterwards, the main admin of the Online Automotive Shop will put it on their website for the clients to see it.


by Keneth D. Elegino, Ricky John P. Regua, Carlo D. Roxas, Janeth G. Sabroso

Abstract.  Mobile applications can be one of the best ways to keep consumers engaged with a brand as they are on the move. It is a software built by the mobile development software for accessing handheld devices such as laptop, mobile phones, and enterprise digital assistance etc. Smartphones are handy with special features such as applications that are within it. The use of mobile application is growing day-by-day. Certain basic applications are installed during the manufacturing process. Later, the users can install the application that they need by downloading it. Besides, the startups of mobile applications are quicker than desktop applications; as well as the session time is quite short in mobile applications. Session time is equal to start time so the start up time is also short. Moreover, the responsiveness is great. Response of every action is quicker with a minimum click. Many applications can be stored in a single device depending on storage capacity of the smartphones. Finally, it is easily adaptable for any upgrades.

With the increase in demand for smartphones and efficiency of wireless networks, the demand for mobile applications has increased incredibly. Mobile applications are the current money spinning idea in the field of technology. It is an integral part of the humans’ everyday life.  Mobile application is system software that runs on android and smartphones. Android is one of the most popular open source platforms that offers the developers full access to the framework API’s to build innovative applications.

The main objective of this project is to build an Android application that helps the users in finding a restaurant within Davao City according to the specified tastes and category. The main features provided by the Restaurant Finder application are a) Basic Search where the user can search for a particular restaurant based on a specific keyword or category; b) Advance Search where the user can search for a particular restaurant based on a distance range specified; c) Google Maps that shows the top twenty (20) restaurants in the city of the current location.


Kim Pentin*, Vicente Calag, Leo Estana, Ritchie Mae Gamot

Abstract.  Bat Algorithm (BA) is one of the recently-created algorithm derived from nature.  With metaheuristic algorithms having many real-world applications, they become popular and widely used. However, BA also suffers from weak exploration just like many metaheuristic algorithms. This study aims to improve BA's exploration aspect along with its results by using a new method called Hunting Hot Spot--a method derived from predators hunting in their hunting grounds. Applied on ten benchmark functions, results show that BA using the hunting hot spot method performed better compared to the original BA.


Carl Shemmuel H. Ipanag Janus Niño M. Luna Benther John M. Rivera, 

Cor Jesu College, Digos City


From simple board games to the most dazzling computer games of today, games have always been for the benefit of entertainment since the ancient times. In recent game developments however, Artificial Intelligence can serve as a player’s adversaries where excellent strategizing and adaptability is the key to victory. This is where adaptive Artificial Intelligence enters. The concept of such adaptive behavior is to determine the best course of action for any event that is set to occur. As such, it represents a promising allure of having a challenging adversary for strategic games. AlphaGo, developed by Google DeepMind, implemented with an AI technique called neural networking for playing the board game “Go”, had won the battle against two of the world’s renowned Go champions. Wargus and Goofspiel, which are also dynamic strategic games, also had an implementation of an AI that showed promising results. With continued updating, analyzing and improving the researchers utilized Hyper-heuristic methods and the Q-Learning algorithm to implement a self-learning AI that adapts to its enemy in the game, Games of the General. This AI is designed to be able to record, analyze, and apply game move sets, and later on use those moves against the enemy should the opportunity arrive. This study implements Q-learning and heuristic methodologies to an agent in a strategic game environment. The study concludes that using the Q-learning algorithm and heuristic methodologies is an applicable approach in the Game of the Generals game.

Keywords: artificial intelligence, reinforcement learning, hyper heuristic

Rent My Stuff

by Abel John Caabay, Glen Mark Torres and Genevieve A. Pilongo


The objective of this study is to develop android application that able owners to post items or stuffs for rent to prospective renters to know of available stuffs to be rented. Specifically, the business strategy of renting will be integrated and will be aided by an android application. Rent My Stuff android application will allow users to post their stuffs for rent and advertise it in their most convenient time and place and also to find stuffs that are for rent which are posted by other users. The renting trade can be extended by using this application considering nowadays mobile android phones are used by many people. Users can post their items and stuffs publicly by the aide of this application. To demonstrate, owners can post their stuffs corresponded by its category it may be an electronic equipment, apparel, transportation vehicle, room or housing, heavy equipment and other stuffs, other information are required like the owner’s information, its nearest known location, the stuff’s rental fee, the stuff’s allowable rental duration, image and information how to contact the owner. On the other hand, for renter users who need to rent something, the renters will just have to search it on the application and find or browse available stuffs and contact the owner to avail. The Rent My Stuff android application was developed by using the Agile Methodology and following the Iterative Model. The developers used Java as the programming language and Android Studio as the IDE. he chosen respondents of the study were 15 people as Beta Testers and was conducted at Brgy. 11-B Dona Vicenta Road, Bajada, Davao City. On the development process the proponents encountered some problems but were eventually addressed. The app was proven to be functional and usable.

MathA:  An Adroid Application

Ruby Ann Iranon, Bernard Jayson Alih, Veah Ranario, Genevieve A. Pilongo, MIT

MathA is an Android app that has math tutorial and image processing. It is intended for the blind. With the use of MathA, the user will be able to learn Mathematics wherever he is, and it makes him/her easier to interact because the app is equipped with voice command. The app can convert captured image from any printed text to speech. This enables the user to know what the contents of the image are all about.  To make the app, the developers used the Agile model of SDLC. The developers negotiated with the Davao School and Rehabilitation Center for Visually Impaired to gather some information. After gathering information, the developers analyzed the data and then made a logical and physical design. Only texts, numbers and math symbols such as the plus, minus, multiplication, and divide can be converted into speech. The app can only read basic mathematics such as fraction, decimal, and number sense. The captured image cannot read some algebraic expressions. The developers encountered a challenge in converting the captured image to text. Among the identified problems was when the user captured a blurry image or distorted image, there would be a difficulty in reading the image and convert it to text. This limits the app to convert only clear images. To get an accurate conversion, the Android’s text to speech feature must be updated to the latest version. The developers of MathA are hopeful that this app will gain the acceptance of its intended users.

EasyMed: A prescription Application System

by Mikhaella Rian Uy, Laila Faith Mabangis, Jyneevieve Caumban, Genevieve A. Pilongo, MIT

EasyMed is a combination of web-based and android-based prescription application system. This study generally aims to build an electronic prescription system application wherein the doctors, pharmacies and patients can benefit. The goal is to develop an android-based application where the doctor can put their prescription to their particular patient and the prescription details can be accessed by the patient and pharmacy. The application used the Synchronize and Stabilize Model in developing the application. Other software and hardware materials was also used in building the application systems mainly: Android Studio that served as a platform for the android-based application; Sublime Text 2 for building the css, php, java script, ajax, and other packages needed for the webpage of the system; Hosting in order for the website and android application to communicate and receive the input data of the two interfaces; File Zilla was for the file handling and deploying of the System to the internet; and lastly the application used an android mobile device that served as an emulator for the application. The developers created survey questionnaires for the system which were distributed to determine the quality of the developed system. Alpha testing and Beta testing were made respectively. Alpha testing was for the developers and the beta testing was for the other system developers. Based on the results, the developers found out that the application’s performance varies on the internet connection speed. The developers recommend that the future generation must build a similar application that uses other database platforms.

Disease Outbreak Investigator: Disease Outbreak Likelihood Analysis from Social 
Interaction in Twitter using Data Mining

Justin Paul L. Ong, Gabriel M. Natividad, Paul Benjamin R. Revote

The Philippine Integrated Disease Surveillance and Response (PIDSR) System was established to improve the current disease surveillance systems in the Philippines and to comply with the 2005 IHR call for an urgent need to adopt an integrated approach for strengthening the epidemiologic surveillance and response system of each member nation. This paper focuses on creating a surveillance monitoring system of infectious diseases, specifically dengue disease, throughout a large real-world social network. This study uses the data on social media network called Twitter. In this study, health-related geo-tagged tweets will be separated from unrelated ones and further analyse if it’s indicating a valid illness report. The validity of a post will be classified according to the classifier created by training hundreds of Twitter post using machine learning techniques. Furthermore, we provide analysis such as the most symptoms reported and a graphical map interface showing the location where the illness related post is posted.