The Academic Resources Recommender System (ARReS) includes collection of Theses and Dissertations available in the Camarines Sur Polytechnic Colleges Library.
Technology has an essential part in this generation, it is almost applied in everything in our daily lives, for example, assisting society in communicating, learning, and thinking. With this, the researchers developed a system that intends to provide better services to users who give information quickly. Generally, the study plans to develop a system that offers a Material Safety Data Sheets to users in the chemical field. The study used the Iterative Software Development Life Cycle Model to identify and utilize the procedures needed to develop the system. The research design that researchers used is the quantitative method to meet the aims of the study. The study has used a particular experimental style of a quantitative research that suited for this study since its particular objectives require data analysis, such as examining the performance of the proposed recommender system in terms of precision and recalls. The researchers run a test for the system's accuracy to verify if the system meets the requirements of the study and the objectives of the software. The list's ranking shown in the possible MSDS was determined by the Euclidean distances between each product's attributes, and they were arranged from lowest to highest. Then, the overall interpretation showed that the proposed system is suitable for users who specialize in the field and use products with chemical compositions. Therefore, it is reasonable to implement the Recommender System for Material Safety Data Sheets using K-Nearest Neighbor.
John Paul O. Albao; Ysidore Nick Botor; Jieneth A. Ituralde; Mark Josef Gastilo
2022 Computer ScienceDue to its geographic location, the Philippines is a flood-prone country. According to the Asian Disaster Reduction Center, the Philippines is one of the most flood-prone countries in the world. With limited resources and a major portion of the population living below the poverty line, flood impacts...
Elena Clarexe R. Gulane; Jan Marc P. Culas; Albert P. Aquilino; Manny C Miñolas
2022 Computer ScienceData mining techniques are used to generate significant patterns, then to build data models for prediction. In this connection, this thesis aimed to utilize Educational Data Mining to mine Grade 10students' Grade Point to select a Senior High School Strand using student data from the target school. ...
Ryan C. Villaflor; John Lloyd P. Dayupay; Judy Ann H. Obero; Roselyn A. Sales; Maria Dulce Ll. Ciano
2022 Computer ScienceAn accident at one spot may occur more frequently than at other locations on the same road due to the irrepressible road or environmental circumstances; these locations are called accident-prone areas. With these, the study was conducted to develop a system that will optimize accidental prone area a...
Jonalyn L. Bugnot; Kim Clarice Garcia; Jude Romar B. Cerdeño; Maria Jessica T. Sayin
2022 Computer ScienceClassification of waste is one common problem in waste management, waste can bring a huge impact in everyday living causing pollution and some other infectious diseases. The traditional way of sorting waste manually takes much time and brings negative effect as it is already contaminated. Generally,...