000 02900nam a2200301 i 4500
003 CSPC
005 20260415110405.0
008 260415s2024 ph a b 000 0 eng d
040 _aCSPC
_beng
_cCSPC
_erda
090 _aUTH BSIT D445d 2024
100 1 _aDescalso, Nielmar C.,
_eauthor.
245 1 0 _aDefendease :
_ba thesis scheduling system /
_cNielmar C. Descalso, Jesusa B. Laida, and John Arvin S. Rosquites.
300 _a183 leaves.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
502 _aUndergraduate Theses (BSIT) - Information Technology.
_cCamarines Sur Polytechnic Colleges, 2024.
504 _aIncludes bibliographical references.
520 3 _aThe College of Computer Studies (CCS) Department at Camarines Sur Polytechnic Colleges currently relies on a manual scheduling system for thesis and capstone project oral defenses. This traditional approach, managed by an appointment coordinator, is time-consuming, prone to errors, and susceptible to scheduling conflicts. Additionally, students who miss their scheduled defense must independently arrange an alternative schedule, adding to the inefficiency of the process. To address these challenges, the researchers developed DefendEase: A Thesis Defense Scheduling System, an automated scheduling tool designed to streamline and optimize the scheduling process. The system aims to improve efficiency, reduce human errors, and provide a structured, user-friendly platform for subject advisers, students, thesis advisers, and panelists. The effectiveness of DefendEase was assessed through User Acceptance Testing (UAT) and Scalability Testing. A total of 273 participants, including four (4) CaPSA representatives, five (5) IT experts, and twenty-four (24) panelists, were involved in the evaluation. The UAT results confirmed that the system is fully functional, achieving an arithmetic mean of 1.0, with no errors reported by users. Similarly, the Scalability Testing also yielded an arithmetic mean of 1.0, with IT experts confirming the system’s capability to handle the expected user load without issues. Based on these findings, the researchers conclude that DefendEase successfully simplifies the thesis defense scheduling process, enhances productivity, minimizes scheduling conflicts, and ensures a seamless user experience. The system is fully functional, responsive, and accessible via web and mobile platforms, making it a reliable tool for academic scheduling.
700 1 _aLaida, Jesusa B.,
_eauthor.
700 1 _aRosquites, John Arvin S.,
_eauthor.
720 _aLlagas, Josefina H.,
_eadviser.
720 _aManlapaz, Shiela Dona S.,
_echair, panelist.
720 _aSerrano, Philip Alger M.,
_epanelist.
720 _aPandes, Tiffany Lyn O.,
_epanelist.
942 _2ddc
_n0
_cUM
_hD445d
_iBSIT
_kUTH
_m2024
999 _c32295
_d32295