000			03710nam a22003017a 4500
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040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TK 4388 _bB38 2016
100			_aBatocabe, Lawrence A., author. _95423
245			_aDevelopment of Automated Brining Machine for Tinapa / _cLawrence A. Batocabe, Jessa E. Escultura, and Lester S. Panopio.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2016
300			_axiii, 55 leaves : _billustrations ; _c28 cm
500			_aProject Design (BSCpE)--Cavite State University-CCAT Campus, 2016.
504			_aIncludes bibliographical references and appendices.
520			_aBATOCABE, LAWRENCE A., ESCULTURA, JESSA E., and PANOPIO, LESTER S. Development of Automated Brining Machine for Tinapa. Project Design. Bachelor of Science in Computer Engineering. Cavite State University Rosario Campus. Rosario. Cavite. May 2016. Adviser: Mrs. Diane P. Arayata. Technical critic: Orlando P. Soberano. The study entitled "Development of Automated Brining Machine for Tinapa” was conducted at the Mechanical Building Department at Cavite State University — Rosario Campus. The design, fabrication and evaluation of the prototype started last October 2015 and being conducted until May 2016. The objectives of the study were design a microcontroller-based brining machine for tinapa processing using Arduino for the automation of the system; construct an automated brining machine for tinapa processing: evaluate the performance of the brining machine in terms of time of brining process, accuracy of brining time, temperature of brine solution before, during and after the brining process and implement the brining machine for tinapa processing. The development of an automated brining machine of tinapa is used to brine with the maximum amount of 5.07 kilograms of fish with the duration time of 6 minutes in 1 process. Once the machine started the brining process, it continuously operates unless there’s a cancelation of the process in the machine. The machine can help to brine fish in an easy and faster way. The machine’s performance was evaluated through ANOVA (Analysis of Variance) to determine the difference of brining time for tinapa processing. The study revealed that the automated brining machine was efficient and faster in terms of brining time compared to traditional tinapa processing. After several trials of brining fish using the automated brining machine, the following conclusions were given: 1) the automated brining machine can brine fish faster as compared to traditional and manual brining process; 2) the temperature of the brine solution using the automated brining machine was accurate before, during and after the brining process; 3) the quantity of fish is not directly proportional to the time of brining process. It doesn’t affect the brining process. Based on the result of the study, the developers suggest the following recommendations for future developers to enhance the software: 1) use wheel for ease transport of the machine; 2) add additional layers of fish tray.
650			_aMicrocontroller-based brining machine for tinapa processing. _95424
650			_aAutomated brining machine. _95425
650			_aPrototype, Engineering. _95310
650			_aBrining process. _95426
700			_aEscultura, Jessa E., author. _95427
700			_aPanopio, Lester S., author. _95428
700			_aArayata, Diane P., adviser. _95429
700			_aSoberano, Orlando P., critic. _95430
942			_2lcc _cT/M/D _hTK 4388 _iB38 2016 _kUM
999			_c1745 _d1745