1. A R e s e a r c h P a p e r P r e s e n t e d t o t h e F a c u l t y o f
S a n P e d r o C o l l e g e o f B u s i n e s s A d m i n i s t r a t i o n
Albert Joseph O. Aligonero
Joel Jr. P. Pinas
Randell E. Octavo
Mark Enley Remoquillo

4. The Military
 Foreign military
bases initially
used this modern
technology in
controlling access
to their high-
security facilities.

5. Business
 It has been opened
for public use and is
now being
developed for
business such as
communications,
networking, e-
commerce,
manufacturing and
retail
establishments.

6.  This research paper
aims to analyze the
possibility of
introducing a similar
system for the
personnel and
customer
management of
Laguna Northwestern
College.

7.  Biometrics and Magnetic Coding are automated attendance
systems which are useful in obtaining comprehensive attendance
information for colleges and universities

8. Difference between manual and automated attendance
 This process takes about 5-10
minutes of their meetings or
approximately 10-20 minutes for
a 3-hour subject.
With the manual attendance
system, roll-call already
consumes 35-70 minutes of his
one week class schedule.

9. Attendance Process in
S-AMS server for
automated attendance in
each subject
Effective and
efficient way to
monitor student’s
attendance
LNC Students
INPUT OUTPUTPROCESS
BENEFITS

10. Attendance Process
using E-AMS server for
automated attendance in
working hours
Improvement in
payroll process
for employees
LNC Employees
INPUT OUTPUTPROCESS
BENEFITS

11. Tony Mansfield
 according toTony Mansfield,
millions of times easier, and
requires only that your facial
geometry match the photograph
recorded on your ID voucher
(whether a passport or an ID card
or a biometric visa) or that your
fingerprints match the templates
recorded on the voucher that you
proffer to an immigration control
officer, for example, or to a bank
manager, to underpin your
transactions and interactions
with them.

12.  Identification is the job of
proving that each person has
one and only one entry on the
population register.
Professor John Daugman, the father of modern biometrics, inventor of iris recognition

13.  How to enhance and develop the attendance
and payroll process of Laguna Northwestern
College?

14. Financing
Implementation
Compatible
Eco Friendly

15.  This study hypothesizes that there is no significant
difference between the automated attendance system
and manual attendance for students and employees of
Laguna Northwestern College

16. Researchers
LNC admin School Professors SchoolAccounting department
Students

17.  The scope of the study covers the introducing
LNC’s attendance management system from manual
to automated system. The researchers only include
the study of how this system benefits the attendance
management of students of LNC.
 The research has several limitations that must be
acknowledged.This Study provided little information
that does not include the program for the biometric
hardware and presenting an actual biometric machine
including its cost, capacity and usage of school
facilities and other expenses.

18. Chapter 2

19. • Originating in criminology,
biometric technology has
matured over the years with
applications in diverse
disciplines. However, its use
in business and accounting is
still in its infancy, and many
issues about its role in
information systems
security are unresolved.
Akhilesh Chandra andThomas G. Calderon from the
book “Journal of Information Systems” Published on
November 1, 2003

20.  The purpose of the study is to assess the
feasibility of fingerprint, iris and face
recognition technologies for these
applications, to identify unknowns and the
risks associated with the use of biometrics in
such a national identity scheme, and to make
recommendations for how some of these
risks might be addressed should such a
scheme proceed.
 Tony Mansfield and Marek Rejman –
Greene on the Feasibility Study on the
Use of Biometrics in an Entitlement
Scheme

21. • The system is remotely
operated and is powered by
a local power source such as
an outlet in an office
building.GlobeTelecom
provides the wireless service
and the kiosk is equipped
with RFID recognition. It
also has a fingerprint
scanner to verify the identity
of their members, which
works in tandem with an
electronic card reader.
 Mona Green, Blogger at
BiometricupdateGSIS

22.  ” RFID-based interaction
into the mix are very
relevant in everyday
transactions. Most
importantly, (from the
point of view of enabling
biometric authentication)
each kiosk supports
fingerprint-based biometric
authentication.

23.  Based on the research, the possible benefits
of the study would be
 increasing the security of the school
 Decreasing the scenarios of student having
proxy on written attendance,
 Reduce human error

24. T he main focus of this chap ter is the method and
p rocedures that were us ed to do this res earch. It
cons is t the res earch des ig n us ed and the s ources of
data. Next is the res pondents of the s tudy and the
s amp ling and s amp ling technique us ed It s tarted by
p res enting the p op ulation of the s tudy and followed by
the s amp ling p rocedures in the res earch. T he s econd
s ection dis cus s ed on ins trumentation for the s tudy
how the data was collected in order to analyze the
finding from the res earch

25. This study used quantitative
methods involving survey
questionnaires to collect the
quantitative data. The survey is a
very valuable tool for assessing
opinions and trends even on a small
scale such as government or small
businesses.

26. Gender Male/Female
Age 17 - 23
Civil Status Any
Year Level 1st – 4th year

27. C O U R S E S
A c c o u n t a n c y
C o m p u t e r S t u d i e s
E n g i n e e r i n g
N u r s i n g
B u s i n e s s
A d m i n i s t r a t i o n
P s y c h o l o g y
H R M / H R S
E d u c a t i o n
P h y s i c a l T h e r a p i s t

28. Departments Population Sample Percentage
Accountancy 196 22 13%
Computer
Studies
203 22 13%
Engineering 120 14 8%
Nursing 187 20 12%
Business
Administration
154 17 10%
Psychology 109 12 7%
HRM/HRS 165 19 11%
Education 184 20 12%
Physical
Therapist
197 21 13%
Total 1515 170 100%

29. Where:
n = sample size
N = total population
e = margin of error
Random Sampling method is
used in determining the
sample size

30. Questionnaire is the main tool of the
collection data from the respondents