30
Conclusions
In totality, based on the tables in Chapter IV, it appears that cooling energy
consumption is the highest among the appliances/devices that may be the source of
excessive power consumption. Moreover, the tables also show that there is a significant
difference among the three treatments because the standard significant level – .05, is
greater than the significant level of the three treatments – 0.00. Thus, the researchers
accept the alternative hypothesis and reject the null hypothesis.
The researchers also conclude that there are and will be visible effects if people
use the energy-saving strategies and practices they propose. Thus, for the second life of
their research study, or in other words, their capstone, they will do their best to persuade
and convey to the residents of Integrated and Stranger Village their suggested energy
efficient strategies and practices in the best way possible.
Recommendations
The researchers recommend the residents of Integrated and stranger Village to
utilize efficient energy saving strategies and household practices to save power. A
"standby" mode is activated when your television, computer, microwave, and even
certain washing machines are not in use. To save electricity, disconnect them from the
outlet. You must also turn off the lights when not in use as it is also an efficient way in
saving energy.
The researchers recommend the students to regulate the use of their personal
devices. If students can keep their device turned off while at school or anywhere…
31
unnecessary, then they will end up saving energy since they won’t need to recharge as
often.
The researchers recommend the schools to turn off the lights that are not being
used in classrooms and other areas, such as empty bathrooms and unoccupied multi-
purpose rooms. Try organizing a student “light patrol” to check empty classrooms, labs,
and other spaces to make sure the lights are off when they're not in use.
The researchers recommend this paper to the future researchers because this paper
can be used to serve as a reference, since doing so will make it simpler and more
convenient for them to understand what to do and how to conduct a quantitative research
paper.
32
List of Reference
Alrikabi, H., Alaidi, A. H., & Nasser, K. (2020, January 20). The Application of Wireless
Communication in IOT for Saving Electrical Energy | International Journal of
Interactive Mobile Technologies (iJIM). The Application of Wireless Communication in
IOT for Saving Electrical Energy | International Journal of Interactive Mobile
Technologies (iJIM). Retrieved January 22, 2023, from
https://online-journals.org/index.php/i-jim/article/view/11538
Amasyali, & El-Gohary, M. (2018).
https://ideas.repec.org/a/eee/rensus/v81y2018ip1p1192-1205.html. A Review of Data-
driven Building Energy Consumption Prediction Studies. Retrieved January 22, 2023,
from https://ideas.repec.org/a/eee/rensus/v81y2018ip1p1192-1205.html
Chen, Y. T. (2017, August 21). The Factors Affecting Electricity Consumption and the
Consumption Characteristics in the Residential Sector—A Case Example of Taiwan.
MDPI. Retrieved January 22, 2023, from https://www.mdpi.com/2071-1050/9/8/1484
Dacuycuy, B., & Dacuycuy, B. (2018, February). Urban and Rural Households’ Energy
Use: Sets, Shocks, and Strategies in the Philippines. Urban and Rural Households’
Energy Use: Sets, Shocks, and Strategies in the Philippines. Retrieved January 22, 2023,
from https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidsdps1801.pdf
Geng, Ren, Li, Portilla, Fan, & Zhao. (2022, March 3). Highly sensitive and selective
H2S sensors with ultra-low power consumption based on flexible printed carbon-
nanotube-thin-film-transistors. Highly Sensitive and Selective H2S Sensors With Ultra-
low Power Consumption Based on Flexible Printed Carbon-nanotube-thin-film-
transistors - ScienceDirect. Retrieved January 22, 2023, from
https://www.sciencedirect.com/science/article/abs/pii/S0925400522002751
Gozgor, Lau, & Lu. (2018, March).
https://ideas.repec.org/a/eee/energy/v153y2018icp27-34.html. Energy Consumption and
Economic Growth: New Evidence From the OECD Countries. Retrieved January 22,
2023, from https://ideas.repec.org/a/eee/energy/v153y2018icp27-34.html
33
Havranek, Herman, & Irsova. (2018). https://ideas.repec.org/a/aen/journl/ej39-2-
irsova.html. Does Daylight Saving Save Electricity? A Meta-Analysis. Retrieved January
22, 2023, from https://ideas.repec.org/a/aen/journl/ej39-2-irsova.html
Himeur, Alsalemi, Bensaali, & Amira. (2021, March 8).
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22404. Smart Power Consumption
Abnormality Detection in Buildings Using Micromoments and Improved K-nearest
Neighbors. Retrieved January 22, 2023, from
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22404
Jiang, Shi, Wu, Ding, & Chen. (2022, May 25). What factors affect household energy
consumption in mega-cities? A case study of Guangzhou, China. What Factors Affect
Household Energy Consumption in Mega-cities? A Case Study of Guangzhou, China -
ScienceDirect. Retrieved January 22, 2023, from
https://www.sciencedirect.com/science/article/abs/pii/S0959652622019916
Lee, & Nguyen. (2022, February 8).
https://www.tandfonline.com/doi/abs/10.1080/13504622.2022.2034752. Energy Literacy
of High School Students in Vietnam and Determinants of Their Energy-saving Behavior.
Retrieved January 22, 2023, from
https://www.tandfonline.com/doi/abs/10.1080/13504622.2022.2034752
Li, Zhang , Jin, Su, & Wu . (2017). http://www.sssampling.cn/down/2017WangY-Applied
%20Geography.pdf. Identifying the Determinants of Housing Prices in China Using
Spatial Regression and the Geographical Detector Technique. Retrieved January 22,
2023, from http://www.sssampling.cn/down/2017WangY-Applied%20Geography.pdf
Liobikienė, & Minelgaitė. (2021, January 1). Energy and resource-saving behaviours in
European Union countries: The Campbell paradigm and goal framing theory
approaches - PubMed. PubMed. Retrieved January 22, 2023, from
https://pubmed.ncbi.nlm.nih.gov/33182163/
Liu, L., Qu, J., Maraseni, T. N., Niu, Y., Zeng, J., Zhang, L., & Xu, L. (2020, September
27). Household CO2 Emissions: Current Status and Future Perspectives. MDPI.
Retrieved January 22, 2023, from https://www.mdpi.com/1660-4601/17/19/7077
34
Moriarty, P., & Honnery, D. (2019, September 16). Energy Efficiency or Conservation
for Mitigating Climate Change? MDPI. Retrieved January 22, 2023, from
https://www.mdpi.com/1996-1073/12/18/3543
Poblacion, Pangantucan, Bukidnon Profile – PhilAtlas. (1990, May 1). Poblacion,
Pangantucan, Bukidnon Profile – PhilAtlas. Retrieved January 22, 2023, from
https://www.philatlas.com/mindanao/r10/bukidnon/pangantucan/poblacion.html
Pulvera, G. J. (2021, November 11). Power Consumption of Household Appliances |
Turkish Online Journal of Qualitative Inquiry. Power Consumption of Household
Appliances | Turkish Online Journal of Qualitative Inquiry. Retrieved January 21, 2023,
from https://www.tojqi.net/index.php/journal/article/view/7839
Shin, Su Hyun; Kim, Kyoung Tae Journal of Financial Counseling and Planning, v29 n2
p 396-409 2018
Shao, S., Li, X., Cao, J.H., Yang, L.L., 2016. China’s economic policy choices for
governing smog pollution based on spatial spillover effects. Econ. Res. J. 9, 73–88.
CNKI:SUN:JJYJ.0.2016-09-007.
Shi, Xu, Li, Chen, Gong, Wu, & Yu. (2020, February 25). Europe PMC. Europe PMC.
Retrieved January 22, 2023, from https://europepmc.org/article/med/32250786
Thapar. (2020, May 8). Energy consumption behavior: A data-based analysis of urban
Indian households. Energy Consumption Behavior: A Data-based Analysis of Urban
Indian Households - ScienceDirect. Retrieved January 22, 2023, from
https://www.sciencedirect.com/science/article/abs/pii/S030142152030313X?via%3Dihub
Ullah, Rho, Ullah, & Haq. (2019). Short-Term Prediction of Residential Power Energy
Consumption via CNN and Multilayer Bi-directional LSTM Networks. ResearchGate.
Retrieved January 22, 2023, from
https://www.researchgate.net/publication/338239529_Short-
Term_Prediction_of_Residential_Power_Energy_Consumption_via_CNN_and_Multilay
er_Bi-directional_LSTM_Networks
Wang, Wang, Li, Zhang, Jin, Su, & Wu. (2017).
http://www.sssampling.cn/down/2017WangY-Applied%20Geography.pdf. Identifying the
Determinants of Housing Prices in China Using Spatial Regression and the Geographical
Detector Technique. Retrieved January 22, 2023, from
http://www.sssampling.cn/down/2017WangY-Applied%20Geography.pdf
35
Yulchiev, M. E., & Ogli Qodirov, A. A. (2020, September 30). Electricity Quality And
Power Consumption In Low Power (0.4 Kv) Networks. The American Journal of
Engineering and Technology. Retrieved January 22, 2023, from
https://inlibrary.uz/index.php/tajet/article/view/10521
Zaharia, A., Diaconeasa, M. C., Brad, L., Lădaru, G. R., & Ioanăș, C. (2019, August 1).
Factors Influencing Energy Consumption in the Context of Sustainable Development.
MDPI. Retrieved January 22, 2023, from https://www.mdpi.com/2071-1050/11/15/4147
Zhang, Shi, Cheong, & Wang. (2020).
https://ideas.repec.org/a/eee/eneeco/v92y2020ics0140988320302966.html. Convergence
of Carbon Emissions at the Household Level in China: A Distribution Dynamics
Approach. Retrieved January 22, 2023, from
https://ideas.repec.org/a/eee/eneeco/v92y2020ics0140988320302966.html
36
APPENDIX A
Letter of Request to the School Head
January 2023
DR. BOBBY A. COMALING
Pangantucan Community High School
Overview Village, Poblacion, Pangantucan, Bukidnon
Good day Sir!
The researchers are presently conducting a research study entitled “POWER
CONSUMPTION ASSESSMENT: BASIS FOR ENERGY INTERVENTION PLAN” as
one of the requirements in Practical Research 2.
In this matter, the researcher would like to ask your permission from your good
office to allow us conduct the said study and administer the survey questionnaire to the
participants of our research study.
Your positive response will be highly appreciated. Thank you very much. Ite Inflammate
Omnia!
Respectfully yours,
AÑORA, IREN C.
AVILA, JOHN LLOYD R.
CALAG, GWEN O.
KINTANAR, PRINCESS ARABELLE B.
LOPEZ, CHARMIE O.
RARELA, JOHN CARLO R.
TIONGSON, JOSEPH D.
Noted by: Approved by:
37
DR. BOBBY A. COMALING DR. BOBBY A. COMALING
Practical Research 2 Teacher School Head/Principal
APPENDIX B
Consent Letter
February 2023
RESPONDENT
Pangantucan Community High School
Poblacion, Pangantucan, Bukidnon
Good day Ma’am/Sir!
We, the researchers, currently enrolled in STEM strand at Pangantucan
Community High School is conducting a research study entitled “POWER
CONSUMPTION ASSESSMENT: BASIS FOR ENERGY INTERVENTION PLAN" as
part of our subject requirement for the completion of the said academic program.
In this regard, we humbly ask your permission to be part of our research capstone
in answering our survey questionnaires and also in participating for the following
activities that we are going to conduct in your home.
Your positive response will be highly appreciated. Thank you so much, Ite Inflammate
Omnia!
Approved by:
DR. BOBBY A. COMALING
Respondents School Head/Principal
38
APPENDIX C
SURVEY QUESTIONNAIRE
Dear Respondents,
Greetings! Below is a question that will help the researchers with their study.
Please help us assess by faithfully answering the questions. God bless and we will assure
you to the utmost care of confidentiality in relation to your answer.
Name:
What appliances/devices do you usually use in your household? Choose 3
a. Lights
b. Washing machine
c. Air conditioner
d. Iron
e. Refrigerator
f. TV
g. Microwave
39
h. Stand Fan
i. Cellphone
APPENDIX D
SURVEY QUESTIONNAIRE
Dear Respondents,
Greetings,
Below are series of questions that will help us determine which of our three
variables is the highest consuming household appliances. Please help us assess by
faithfully answering the following questions. God bless and we will assure you to the
utmost care of confidentiality in relation to your answer.
Name:
Lighting Energy Consumption
1. What kind of lighting appliances do you use?
a. Incandescent bulb
b. Fluorescent lamp
2. How long do you usually use the device/appliance on average per day?
40
a. 1-2 hours per day
b. 3-5 hours per day
c. 6 or more hours per day
3. What is your electric bill range per month?
a. P500 - P1000
b. P1001 - P2000
c. P2001 - P4000
d. Others: Please Specify:
Entertainment Energy Consumption
1. What kind of entertainment appliances do you use?
a. Cellphone
b. Television
2. How long do you usually use the device/appliance on average per day?
a. 1-2 hours per day
b. 3-5 hours per day
c. 6 or more hours per day
3. What is your electric bill range per month?
a. P500 - P1000
b. P1001 - P2000
c. P2001 - P4000
d. Others: Please Specify:
41
Cooling Energy Consumption
1. What kind of cooling appliances do you use?
a. Stand Fan
b. Refrigerator
2. How long do you usually use the device/appliance on average per day?
a. 1-2 hours per day
b. 3-5 hours per day
c. 6 or more hours per day
3. What is your electric bill range per month?
a. P500 - P1000
b. P1001 - P2000
c. P2001 - P4000
d. Others: Please Specify:
42
APPENDIX E
Culminating Activity
This activity revolves around the purpose of the research study which is
identifying the sources of excessive power consumption providing the students with an
opportunity to showcase their skills and ability in creating/formulating strategies that will
contribute in alleviating the degree of severity of the problem. By practically applying the
study, households of the research environment will be able to save a large portion of their
budget allocated to electric bills by making them wiser and more knowledgeable in
power consumption.
In order for the households, learners or researchers who are interested in
developing skills and cognitive flexibility related to this activity, the team will willingly
publish the paper and share this knowledge with others
The significance in the attempts to measure data is to get reliable data with which
to answer the research questions and assess theories of change. Inaccurate measurements
can lead to unreliable data, from which it is difficult to draw valid conclusions.
43
DOCUMENTATION
44
CURRICULUM VITAE
PERSONAL BACKGROUND
NAME: Princess Arabelle B. Kintanar
AGE: 18
ADDRESS:Integrated Village, Poblacion, Pangantucan, Bukidnon
CELLPHONE #: 09068755710
DATE OF BIRTH: December 18, 2004
PLACE OF BIRTH: Cagayan de Oro City
Citizenship: Filipino
Sex: Female
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Pangantucan Central Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
45
PERSONAL BACKGROUND
NAME: Gwen O. Calag
AGE: 18
ADDRESS: Kinilayan Village, Poblacion, Pangantucan, Bukidnon
CELLPHONE #: 09354550620
DATE OF BIRTH: March 10, 2004
PLACE OF BIRTH: Poblacion Pangantucan Bukidnon
Citizenship: Filipino
Sex: Female
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Pangantucan Central Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
46
PERSONAL BACKGROUND
NAME: Iren C. Añora
AGE: 18
ADDRESS: Maharlika Village, Poblacion, Pangantucan, Bukidnon
CELLPHONE #: 09268425282
DATE OF BIRTH: November 18, 2004
PLACE OF BIRTH: Poblacion Pangantucan Bukidnon
Citizenship: Filipino
Sex: Female
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Pangantucan Central Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
47
PERSONAL BACKGROUND
NAME: Charmie O. Lopez
AGE: 17
ADDRESS: United Village, Poblacion, Pangantucan, Bukidnon
CELLPHONE #: 09531527896
DATE OF BIRTH: April 8, 2005
PLACE OF BIRTH: Poblacion Pangantucan, Bukidnon
Citizenship: Filipino
Sex: Female
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Pangantucan Central Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
48
PERSONAL BACKGROUND
NAME: John Lloyd R. Avilla
AGE: 17
ADDRESS: Bacusanon, Pangantucan, Bukidnon
CELLPHONE #: 09672003698
DATE OF BIRTH: September 12, 2005
PLACE OF BIRTH: Gensan
Citizenship: Filipino
Sex: Male
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Bacusanon Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
49
PERSONAL BACKGROUND
NAME: Joseph D. Tiongson
AGE: 18
ADDRESS: Paradise Village, Poblacion, Pangantucan, Bukidnon
CELLPHONE #: 09355757393
DATE OF BIRTH: December 30, 2004
PLACE OF BIRTH: Poblacion, Pangantucan, Bukidnon
Citizenship: Filipino
Sex: Male
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Pangantucan Central Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School
50
PERSONAL BACKGROUND
NAME: John Carlo R. Rarela
AGE: 17
ADDRESS: Bacusanon, Pangantucan, Bukidnon
CELLPHONE #: 09678834578
DATE OF BIRTH: May 21, 2005
PLACE OF BIRTH: Bacusanon, Pangantucan, Bukidnon
Citizenship: Filipino
Sex: Male
EDUCATIONAL ATTAINMENT;
ELEMENTARY: Bacusanon Elementary School
JUNIOR HIGH SCHOOL: Pangantucan Community High School
SENIOR HIGH SCHOOL: Pangantucan Community High School