000			02820nam a2200325 i 4500
003			CSPC
005			20250909094907.0
008			250909s2024 ph a b 000 0 eng d
040			_aCSPC _beng _cCSPC _erda
090			_aUTH BSECE C133n 2024
100	1		_aCaido, Ryan Josias M. _eauthor.
245	1	0	_aNon-biodegradable segregation device for household wastes / _cRyan Josias M. Caido, [and 4 others].
300			_a126 leaves.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aUndergraduate Theses (BSECE) - Electronics Engineering. _cCamarines Sur Polytechnic Colleges, 2024.
504			_aIncludes bibliographical references.
520	3		_aThe goal of this study is to address issues related to managing waste globally, aligning with the Sustainable Development Goals (SDGs). The proposal introduces a Non-Biodegradable Segregation Device for Household Wastes, employing sensors and automation to optimize waste collection and segregation. The exploration extends across the design, fabrication, and testing phases, providing comprehensive insights into the system's development. With the overarching goal of designing and implementing an automated Non-Biodegradable Segregation Device, the specific objectives include designing the device, fabricating its components, and testing its functionality in terms of accuracy and response time. The study includes comprehensive details, the design elements, block diagram, schematic diagram, flowchart, and casing design, accompanied by the outcomes of preliminary and final testing. Utilizing sensors, load cells, and a servo motor, the Non-Biodegradable Segregation Device efficiently identifies, measures, and segregates waste materials. The evaluation demonstrates the device's commendable accuracy in metal cans, plastic bottles, and glass bottles. The overall performance metrics, encompassing an accuracy of 95.45%, precision of 93.33% and recall of 93.33%, underscore the accuracy of the Non-Biodegradable Segregation Device for Household Wastes. The summary, conclusions, and recommendations encapsulate the study's comprehensive findings, high level of performance in segregating, with an overall accuracy rate of 95.45% and response time with overall average of 2.467 seconds and it is highly responsive.
700	1		_aLaniog, Joyce Mae O. _eauthor.
700	1		_aOcampo, Patricia Philyn M. _eauthor.
700	1		_aRocamora, Richelle Q. _eauthor.
700	1		_aSalando, Erika Mae M. _eauthor.
720			_aOares, Christopher T. _eadviser.
720			_aTabal, Keith Marlon R. _echair, panelist.
720			_aIsaac, Victor Solito DR. _epanelist.
720			_aAbanil, Roner P. _epanelist.
942			_2ddc _n0 _cUM _hC133n _iBSECE _kUTH _m2024
999			_c30432 _d30432