000			02995nam a2200301 i 4500
003			CSPC
005			20261021160819.0
008			261021s2024 ph a b 000 0 eng d
040			_aCSPC _beng _cCSPC _erda
090			_aUTH BSIS P638a 2024
100	1		_aPili, Joshua S., _eauthor.
245	1	0	_aAnalysis and design of employee scheduling, payroll and attendance monitoring at Mother Theresa Colegio: _cJoshua S. Pili, Princess Dianne M. Priela, and Kyla G. Talagtag. _b a design thinking approach /
300			_a203 leaves.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aUndergraduate Theses (BSIS) - Information Systems. _cCamarines Sur Polytechnic Colleges, 2024.
504			_aIncludes bibliographical references.
520	3		_aAn Attendance Monitoring, Payroll, and Scheduling System is a software solution designed to streamline employee management processes in organizations. Mother Theresa Colegio currently relies on manual methods for tracking attendance, computing payroll, and managing employee schedules, resulting in inefficiencies such as time-consuming workflows, data inaccuracies, and limited transparency. This study was conducted to analyze and design a low-fidelity prototype for a centralized system integrating attendance monitoring, payroll, and scheduling functionalities. In general, the objective of this study was to design a user-friendly interface and an efficient database structure for the proposed system. To achieve this, the researchers employed a mixed-methods research design and the Design Thinking framework. Data were gathered through interview guides and survey questionnaires from employees and administrators of Mother Theresa Colegio. The data were analyzed using thematic analysis and weighted mean. The research findings revealed specific issues with manual processes, such as redundancies in data entry, delayed payroll computations, lack of real-time attendance tracking, and scheduling conflicts. To address these challenges, a low- fidelity prototype was designed, featuring a streamlined user interface and normalized database to improve operational efficiency. The overall evaluation results showed a weighted mean of 4.64 for the user interface and 4.49 for the database, indicating strong agreement among respondents that the system met their expectations. A key recommendation is to enhance the system further by incorporating biometric authentication for attendance tracking and considering additional system testing methods to ensure better performance in the future.
700	1		_aPriela, Princess Dianne M., _eauthor.
700	1		_aTalagtag, Kyla G., _eauthor.
720			_aLlagas, Josefina H., _eadviser.
720			_aLuzon, Niño Jeffrey L., _echair, panelist.
720			_aBaluis, Ichelle F., _epanelist.
720			_aVelasco, Kezia Abegail T., _epanelist.
942			_2ddc _n0 _cUM _hP638a _iBSIS _kUTH _m2024
999			_c33846 _d33846