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CHAPTER 1
INTRODUCTION
It is important to put the right waste in the right bins. The Republic Act (RA) 9003,
otherwise known as the Ecological Solid Waste Management Act of 2000, provides the necessary
policy framework, institutional mechanisms and mandate to the Local Government Unit (LGU) to
achieve 25% waste reduction through establishing an integrated solid waste management plans
based on reduce, reuse and recycling (3Rs). To this cause, commitment of various government
agencies and schools is necessary. Doing applicable remedies to strengthen the 3Rs is extremely
helpful.
With waste segregation as the initial step in 3Rs, it is a must to make segregation process
interesting, especially in schools where some students do not cooperate despite efforts made by
teachers and students leaders. Regular waste segregation has posted a number of disadvantages:
messy and untidy classroom corners because of open trash bins; students' exposure to toxic and
foul odor; skin rush due to insect bites or mishandled waste could result in various skin diseases,
breathing issues and other health concerned. Dengue is one of the diseases due to improper waste
disposal, according to Ligsay A. D. et al. (2023) dengue is one of the most dangerous vector-borne
diseases worldwide and is a significant public health in the tropics. In addition, Reinhart and
Townsend (2018) stated that there are non-communicable diseases (NCDs) that are brought about
due to improper waste segregation, such as cancer and asthma, or several defects evident at birth
among infants.
The researcher propose Hide-a-waste: Automatic Sorting Device that hides garbages that
will help to support government initiatives on waste reduction and will also awaken interest among
2
students to practice segregation everytime. In classroom, this system will no longer require
students to do the sorting that will only expose them to foul smell and bacteria.
With the help of Automatic Hide-a-waste device, waste segregation and untidy classroom
This study aims to provide effective way to help minimize classroom wastes with less
human interaction.
Teacher
Teachers will not worry too much when it comes to the segregation of student's garbage.
Students
School
Future Researcher
3
They can use this study to create similar device with improved functions.
1. Efficient waste management: Automatic waste segregation machine can effectively sort
of waste such as plastics, paper, and metals. This ensures that the waste is properly
managed and disposed of in the correct manner, reducing, the chances of littering and
an automatic waste segregation machine, the process is much quicker and more efficient,
environmental conservation efforts. Recycling and proper disposal of waste materials can
help conserve natural resources, reduce pollution, and minimize the carbon footprint.
4. Health and hygiene: Proper waste segregation reduces the risk of contamination
specifically if sorting is done manually and maintain cleanliness in classrooms. This can
help prevent the spread of diseases and create a healthier environment for students.
for waste management. By using waste segregation machines, classrooms can ensure
compliance with these regulations and avoid potential penalties or legal issues.
This research will gather the data from Jose Panganiban National High School. This data
will be collected from among the expert teachers in Computer System Servicing (ICT), Electrical
4
Installation & Maintenance (EIM), and Electronic Product Assembly & Servicing (EPAS) fields
for the second semester for the SY2023-2024, employing the mix method of research.
The instrument to be used will be the interview guide and the Four-point Likert scale during
the device assessment. An interview guide contains list of questions or topics that the interviewer
hopes to cover during the interview. Additionally, it is intended to find out the opinions and
suggestions of participants. A Likert scale is a rating scale used to measure opinions. It consists of
a statement, followed by a series of five answer statements. Respondents choose the option that
best corresponds with how they feel about the statement. This Four-point Likert scale is composed
and 4 as STRONGLY AGREE. The researchers will plan, measure and build the device. The
research-participants will rate the device on its segregation functions and its effectiveness in
maintaining tidy garbage corner. The researcher will showcase the device then the participants will
The data gathered in this qualitative research will be analyzed using weighted mean.
Definition of Terms
Automatic. Operating independently with minimal human intervention. In this study, it pertains
to the device's capability to automatically sort and segregate dry waste into plastic wrappers
(residual), papers (organic), and aluminum cans/plastic bottles (recyclable), which are commonly
found in schools.
Bins. Containers used for storing waste materials. In this study, it refers to the three containers
Hide. To keep something out of sight or concealed from view. In this study, it denotes the device's
Reduce, Reuse, and Recycle (3Rs). The principles of minimizing waste generation, reusing
materials, and recycling to promote efficient resource utilization and build a sustainable society.
surveys. In this study, they are the teachers from JPNHS (specifically from ICT, EIM, and EPAS
strands) who will evaluate the device and share their opinions on its components and functions.
Segregation. The process of separating items based on specific classifications. In this study, it
refers to the automated separation of waste into different categories using three bins.
Sorting Device. A device used to separate dissimilar items into predetermined groups as part of
an automated process. In this study, it refers to the device's function of segregating waste based on
Toxic. Referring to substances that contain poison or are capable of causing harm or toxicity. In
this study, it pertains to waste materials that can produce toxins and require appropriate disposal
methods.
Waste Management. The process of collecting, recycling, and disposing of various waste
materials. In this study, it refers to the device's function of managing dry waste, specifically plastic
wrappers (residual), papers (organic), and aluminum cans/plastic bottles, through proper sorting
References
Ligsay, A. D., Regencia, Z. J. G., Tambio, K. J. M., Aytona, M. J. M., Generale, A. J. A.,
Alejandro, G. J. D., Tychuaco, J. S., De Las Llagas, L. A., Baja, E. S., & Paul, R. (2023).
Efficacy Assessment of Autodissemination Using Pyriproxyfen-Treated Ovitraps in the
Reduction of Dengue Incidence in Parañaque City, Philippines: A Spatial
Analysis. Tropical Medicine and Infectious Disease, 8(1),
66. https://doi.org/10.3390/tropicalmed8010066
Reinhart, D. R., & Townsend, T. G. (2018). Landfill Bioreactor Design and Operation.
In Routledge eBooks. https://doi.org/10.1201/9780203749555
Republic Act No. 9003 | GOVPH. (2001b, January 26). Official Gazette of the Republic of the
Philippines. https://www.officialgazette.gov.ph/2001/01/26/republic-act-no-9003-s-2001/
7
CHAPTER 2
This chapter presents a review of related literature and studies that are relevant to the study.
The focus of the study is on the problem of waste segregation management in various
establishments, public places, and even public transportation vehicles, with the aim of promoting
new ideas and modern technology to prevent the spread of diseases and improve community living
conditions.
Local Literature
Catan and Molina (2020) found that senior high school students have sufficient knowledge
about the definition of solid waste, the effects of improper waste disposal, prohibited activities
related to waste, school initiatives in waste management, the importance of waste management,
and students' responsibilities. However, they have limited knowledge about the different laws
According to Ariel San Jose (2021), educational institutions play a crucial role in waste
into higher education's Corporate Social Responsibility (CSR) and curriculum. Students should be
encouraged to become responsible citizens and minimize the culture of throwing waste away.
cooperation and strictly enforce existing laws while implementing programs to promote proper
specifically focusing on waste collection points. The study found that the implementation of waste
collection points as a waste management system has been effective. However, there are still
challenges such as funding allocation for facilities and infrastructure, scheduling garbage
government.
Avila et al. (2022) addressed the issue of plastic waste by developing a Bubble Barrier
system that uses solar energy to separate solid waste from water in canals. The system
demonstrated an overall efficiency of 82% and successfully separated waste materials of various
sizes. The study concluded that the developed system was effective in collecting plastic waste
Blancaflor et al. (2022) focused on waste collection and segregation in the Philippines,
which is known as the third-largest producer of solid waste in Southeast Asia. Their study aimed
to simplify waste collection and segregation to encourage more frequent recycling and incentivize
community members through a web application. The research evaluated the usability of the mobile
application developed for the study and its effectiveness in motivating the community to support
Foreign Literature
Kulkarni (2020) emphasized the importance of waste management due to the harmful
effects of improper waste segregation on humans. Improper segregation leads to the production of
dangerous greenhouse gases during the breakdown of dry and wet waste. Proper waste segregation
helps divert waste from landfills and ensures proper recycling. For example, mixed dry waste like
9
glass and paper can be transformed into new products, reducing the need for raw materials and
saving energy and resources. Failure to segregate and dispose of waste properly can result in
Debrah et al. (2021) highlighted that solid waste management is a complex issue involving
institutional, political, socioeconomic, and environmental factors. It has become a major problem
in urban areas of emerging countries due to rapid urban growth. The lack of environmental
challenges and unsustainable development. The study also revealed that awareness, attitude, and
practices regarding waste management vary significantly based on age and educational level.
environmental issues.
Alabi et al. (2019) focused on the widespread use of plastic and its impact on the
environment. The study highlighted that plastic waste, especially single-use plastics, is a
significant environmental health concern. Large volumes of plastic waste are generated globally,
with a low percentage being recycled or incinerated. The improper disposal of plastic waste,
including ocean pollution, incineration, and landfill dumping, has severe consequences such as
environmental pollution, contamination of the food chain, energy waste, biodiversity loss,
Nnorom and Odeyingbo (2020) further emphasized the negative consequences of plastic
on wildlife. They highlighted the significant volumes of plastic waste generated globally and the
China, particularly in Shanghai. They examined the current situation of garbage classification in
China, including legal aspects, waste amounts, economic factors, management strategies, resource
utilization, and successful experiences. Their study aimed to provide inspiration and guidance for
Local Studies
Flores and Tan Jr. (2019) conducted a study titled "Literature Review of Automated Waste
Institute of the Philippines. The study explored various advancements and strategies for efficient
waste management and disposal. Devices such as Raspberry Pi and algorithms were utilized to
classify waste based on scanned images. However, the limitations of these devices include their
accuracy only with single-object images, the need for quick waste identification and classification,
bulk waste categorization, and a focus on waste generated in schools. High image processing
Tan et al. (2020) conducted a study titled "Automated Waste Segregation System using
Trained Optical and Material Sensors with User Communication Capabilities" at the University of
St. La Salle. The study focused on waste segregation as a means to reduce landfill waste and
increase recyclable materials. The study developed a system capable of detecting four types of
waste: metal cans, plastic bottles, papers, and other waste. Users could access data and check the
system's waste categorization through a web application. The system had the potential to produce
multiple waste bins using the same trained model. However, challenges included the wide variation
11
of waste, the need for continuous updates to maintain accuracy, the limitation of segregating one
Endaya et al. (2020) conducted a research study titled "Design and Implementation of
Automated Waste Segregator with Smart Compression" at Lyceum of the Philippines University.
The study focused on developing an Automated Waste Segregator with Smart Compression that
properly segregated four types of waste and maximized the capacity of the garbage can. The system
utilized push buttons for input and smart compression when the sensor detected that the paper or
plastic bin was full. LED indicators were used to notify users when the bins were full. The study
concluded that the system could provide efficient waste segregation based on user input.
(IoT)-based automatic waste segregator. The study successfully implemented the segregation of
waste into metallic and non-metallic waste, as well as wet and dry waste. The system reduced the
need for human intervention in waste segregation while ensuring proper waste segregation with
minimal effort.
Pamintuan et al. (2019) utilized Internet of Things (IoT) technology to design an automatic
waste segregation system. The study developed a trash bin equipped with sensors that intelligently
segregated waste and provided monitoring reports of waste collection. Image recognition and
machine learning techniques were used for automatic trash classification. The developed prototype
achieved efficient trash classification after training with over 2000 samples of biodegradable and
non-biodegradable waste.
12
Foreign Studies
Pai (2021) conducted research on the design and development of an automatic dry waste
segregator for household and institutional waste. The study aimed to reduce complexity and human
effort by designing an Automatic Waste Segregator. The machine efficiently sorted dry waste into
three categories: ferromagnetic metals, paper, and plastic. The project demonstrated that this work
could be a step towards source separation, leading to a cleaner and better environment. The
compact design of the machine made it suitable for installation in residential and institutional
settings.
segregation system with SMS notification and machine learning image processing. The study
aimed to create a sustainable waste segregator system powered by solar energy. The system
performed real-time object recognition and categorization of garbage into biodegradable, non-
biodegradable, and recyclable categories. The goal was to build a smart bin that could segregate
solid waste into the respective bins, notify utility staff when the smart bin needed to be emptied,
Lubongo and Alexandridis (2022) emphasized the importance of automated technology for
sorting plastic waste in medium- to high-volume recycling plants. They highlighted the need for
automated sorting systems to separate plastic objects based on type, color, and size to achieve
high-quality recycled plastics. Automated technology plays a crucial role in the recycling process
Nafiz et al. (2023) proposed a machine for waste segregation using a smart object detection
algorithm based on deep convolutional neural networks (DCNN) and image processing techniques.
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The machine accurately classified waste and placed it in corresponding bins using a servo motor-
based system. The machine also included ultrasonic sensors in each bin and dual-band GSM-based
communication technology to notify the responsible authority about the waste level and the need
for trash collection. The entire system was controlled remotely through an Android app, allowing
for automated waste dumping in a desired location. This system contributes to recycling resources
Yadav (2021) proposed a fully automated waste management system that implemented
waste segregation using computer vision, deep learning, and Internet of Things (IoT) technology.
The system segregated municipal waste into organic and recyclable waste, eliminating the need
for manual segregation and reducing the risk of disease transmission for municipal workers.
Automation increased the speed and efficiency of waste segregation while reducing costs. The
study aimed to ideate and implement innovative and sustainable waste management systems with
Synthesis of State-of-the-Art
Most local literature that have been reviewed explained about how knowledge influences
the practices in proper solid waste management. Most cited the importance of inclusion of this
field of knowledge to the curricula of universities and colleges, even in high schools. Also, the
inclusion of the most suited garbage collector bins, provision of structures dedicated to waste
management, and other practices that would address the challenges of every place and/or
institutions.
Most foreign literatures that have been reviewed are similar in stating that recycling is one
important aspect of waste management as every nation cares about the environment. In terms of
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practices, factors like knowledge, attitude, awareness, age, and education as well as institutional,
political, and socioeconomic conditions have varying effects to how people engage themselves in
Most local studies that have reviewed explained how the automatic segregation help our
industry. They are similar in stating the significance and usefulness of the automatic segregation
machine. In terms of its uses, like the isolation of waste material can be speedy, flexible and not
messy, it is also help in lessening the waste that goes to landfills that can lead in reducing human
intervention in the process of segregation of garbage while ensuring proper segregation of waste
with minimal efforts. Additionally, most local studies used sensors in making automatic
Lastly, most foreign studies that have reviewed explained how the automatic segregation
machine benefits us in terms of segregating wastes in which to make the waste management
process more interesting for the end user and to encourage an environmental-friendly to use an
smart bin. Additionally, the functions are also stated in some studies that can help the garbages
disposal system perform realtime object recognition and categorization of the garbages easy, if it
The materials that have been reviewed explained the important of people knowledge,
awareness, and concern on environment, hence the term solid waste management. Public and
private entities are being enforced to institutionalized best garbage segregation practices and
overcome the challenges accompanying the efforts. The present study supports these movements
in a way that addresses a small but significant trash of proper waste segregation through an
automatic segregation that at the same time hides garbages. This device that segregate and hides
15
with the help of sensors fits with the need of the classroom and addresses. Students need to become
more aware with the importance of appropriate waste segregation and disposal practices.
References
Alabi O.A., Ologbonjaye K.I., Awosolu O., Alalade O.E. Public and environmental health effects
of plastic wastes disposal: a review. J. Toxicol Risk Assess. 2019;5(21):1–13. [Google
Scholar]
Ariel, Garbage Practices in Higher Education for Healthy Academic Environment (August
27,2021) Available at http://dx.doi.org/10.2139/ssrn.3908627
Avila, Bryan R., et al. ”Implementation of PV-Solar Powered Bubble Barrier System for Solid
Waste Segregation in Canals,” IEEE Xplore,1 Dec.2022,
https://ieeexplore.ieee.org/abstract/document/10109568
Blancaflor, E. B., Neyra, J. M. M., Ramel, K. a. S., Tan, S. M. G., & Rey, W. P. (2022). A Design
of an E-Waste Collection Web Application to Motivate Waste Segregation & Collection
Practices. https://doi.org/10.1145/3568834.3568857
Debrah, J. K., Vidal, D. G., & Dinis, M. a. P. (2021). Raising Awareness on Solid Waste
Management through Formal Education for Sustainability: A Developing Countries
Evidence Review. Recycling, 6(1), 6. https://doi.org/10.3390/recycling6010006
Endaya, J. P., Mabitasan Jr., F., & Gonzales, J. C. M. (2020, October 3). Design and
Implementation of Automated Waste Segregator with Smart Compression. Lyceum of the
Philippines University- Laguna. https://lpulaguna.edu.ph/wp-content/uploads/2022/01/6.-
EndayaMabitasan-Gonzales-Waste-Segregator.pdf
Flores, M., & Tan Jr., J. (2019). Literature Review of Automated Waste Segregation System using
Machine Learning: A Comprehensive Analysis. International Journal of Simulation,
Systems, Science & Technology. https://ijssst.info/Vol-20/No-S2/paper15.pdf
Kulkarni, S. J. (2020). Studies, Efforts and Investigations on Various Aspects of Solid Waste
Management with Emphasis on Developing Countries. In IntechOpen eBooks.
https://doi.org/10.5772/intechopen.91942
Lopes, Snehal, and Sweedle Machano. “IoT Based Automatic Waste Segregator.” IEEE Xplore,
1 Dec. 2019, https://ieeexplore.ieee.org/abstract/document/9036782/
Lubongo, C., & Alexandridis, P. (2022). Assessment of Performance and Challenges in Use of
Commercial Automated Sorting Technology for Plastic Waste. Recycling, 7(2), 11.
https://doi.org/10.3390/recycling7020011
16
Molina, R. A., & Catan, I. (2021). Solid Waste Management Awareness and Practices among
Senior High School Students in a State College in Zamboanga City, Philippines.
Aquademia, 5(1), ep21001. https://doi.org/10.21601/aquademia/9579
Nafiz, Md. S., Das, S. S., Morol, Md. K., Al Juabir, A., & Nandi, D. (2023, January 1).
ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning. IEEE
Xplore. https://doi.org/10.1109/ICREST57604.2023.10070078
Nnorom I.C., Odeyingbo O.A. Handbook of Electronic Waste Management. Elsevier; 2020.
Electronic waste management practices in Nigeria; pp. 323–354. [Google Scholar]
Pai, R. R., Bangera, P. J., Shaikh, M. M., Prajmal, P., & Shetty, R. (2021, November 14). Design
and development of an automatic dry waste segregator for household and institutional
wastes. Science Direct.
https://reader.elsevier.com/reader/sd/pii/S2214785321069959?token=2F4C599B98AEC
DD878339FC77FD0E6F3A9462FEF16DBB5E8B1CA57DB327161AFDC8AACCCEF0
C23A83C3C45F370E92FA7&originRegion=us-east-
1&originCreation=20220401055117
Pamintuan, M., Mantiquilla, S. M., Reyes, H., & Samonte, M. J. (2019, November 1). i-BIN: An
Intelligent Trash Bin for Automatic Waste Segregation and Monitoring System. IEEE
Xplore. https://doi.org/10.1109/HNICEM48295.2019.9072787
Ridha, M, et al. “Waste Collecting Point as the School of the Waste Management System.” IOP
Conference Series: Earth and Environmental Science, vol. 683, no. 1, 1 Mar. 2021,
p.012015, https://doi.org/10.1088/1755-1315/683/1/012015
Sigongan, J.B., Sinodlay, H.P., Cuizon, S.X.P., Redondo, J.S., Macapulay, M.G., Bulahan-Undag,
C.O., & Gumonan, K. M. V. C. (2023). GULP: Solar-Powerd Smart Garbage Segregation
Bins with SMS Notification and Machine Learning Image Processing. arXiv (Cornell
University). https://doi.org/10.25147/ijcsr.2017.001.1.142
Tan, M., Fuentes, A., Ama, A., Ortaliz, N., & Juardo, J. (May 2020). Automated Waste
Segregation System using Trained Optical and Material Sensors with User Communication
Capabilities.
https://www.researchgate.net/publication/342747452_Automated_Waste_Segregation_Sy
stem_sing_Trained_Optical_and_Material_Sensors_with_User_Communication_Capabil
ities
Yadav, S., C. P, M. G., Shanmugam, A., V, H., & Suresh, N. (2021, April 1). Waste Classification
and Segregation: Machine Learning and IOT Approach. IEEE Xplore.
https://doi.org/10.1109/ICIEM51511.2021.9445289
17
CHAPTER 3
METHODOLOGY
Research Methodology
The research methodology chapter outlines the researcher's chosen methods and sampling
techniques, as well as the instruments used to gain a better understanding of the study.
Method of Research
In this study, both quantitative and qualitative data will be gathered. Quantitative research
involves numerical data analysis, while qualitative research involves analyzing non-numerical data
Upon distributing the survey questionnaire to the participants, the researchers will present
the device to the participants for demonstration and observation/assessment. They will explain to
them its functions and possible contributions in the community. The researcher will conduct the
study in the Jose Panganiban National High School under the TVL teachers in the field of
Computer System Servicing (ICT), Electrical Installation & Maintenance (EIM), and Electronic
Product Assembly & Servicing (EPAS).The researchers will give an explanation and instructions
to the participants.
Sampling Technique
Purposive sampling was used as the sampling technique in this study. Purposive sampling
involves selecting units based on specific characteristics needed for the sample. Units are selected
18
"on purpose" in purposive sampling. The research participants of the study are those who can give
Research Instruments
and analyzing the results. In this study, printed survey questionnaires will be distributed to
participants from Jose Panganiban National High School. They are teachers of Computer System
Servicing (ICT), Electrical Installation & Maintenance (EIM), and Electronic Product Assembly
& Servicing (EPAS) fields. Four-point Likert scales, consisting of a statement or question followed
by a series of four or seven answers, were also used. Participants choose the option that best
corresponds to their rating about the statement or question. This method of information collection
The data collected will be treated according to its content. A weighted mean will
be used to analyze the data gathered from the respondents. A weighted mean is a type of mean that
is calculated by multiplying each point by its corresponding weight summing up these products,
and dividing the total by the sum of the weights. The researchers will use the weighted mean to
Additionally, the thematic approach will be used to analyze qualitative data from open-
ended questions. The researcher will closely examine the data to identify common themes, topics,
Dear Respondents,
We are gathering data for our study entitled Hide-a-waste: Automatic Sorting Device that
Hides Garbage. We will present to you how our device works and you will answers very few
questions. Rest assured that the data to be collected will be taken for the purpose of this research
The Researchers:
Ramos et al.
Age: ____
Sex: ____
2.The device is built to automatically segregate and hide garbages. Please check your rating using
the scale:
4- STRONGLY AGREE
3- AGREE
2- DISAGREE
1- STRONGLY DISAGREE
20
Device Description:
Weight:25kg.
Device Specifications:
Device Diagram:
22
compartment using an infrared (IR) sensor and a metal detector. The IR sensor is responsible for
identifying the presence of waste, triggering the separation procedure. Once waste is detected by
the IR sensor, the metal detector becomes active to verify if the waste contains any metallic
components.
When a metal object is near the metal sensor, the magnetic field induces current in the
object, leading to a modification in the electric field. If metal is detected, the contents of the first
compartment are directly transferred to the storage area, which encompasses separate bins for
If the contents in the first compartment are determined to be non-metallic, they proceed to
the second compartment. Here, an IR sensor is utilized to confirm the presence of waste.
Depending on the output of the IR sensor, the moisture sensor is either activated or remains
inactive. When waste is detected in the second compartment, the moisture sensor comes into play
to determine if the contents should be classified as dry waste or wet waste. This determination is
based on changes in the dielectric constant, with a higher permittivity indicating the presence of
water content and categorizing the waste as wet waste. The contents are then directed to their
The storage area consists of a rotating table equipped with bins for dry waste, wet waste,
and metal waste. The rotation of the table is determined by the type of waste detected in the
preceding compartments, enabling the collection of the corresponding waste. Once the waste has
been collected, the rotating table returns to its default position. The programming of the bin
23
placement for waste collection is based on a predetermined delay or the time required for the table
on surfaces to
prevent damage or
erosion due to
weathering. In the
simplest sense,
angle bars are used
to protect any edges
and corners that are
required to hold
their shape.
3. Arduino Low-cost, flexible,
Uno Length:68.6mm and easy-to-use ₱130.00 1pc.
Width:53.4mm programmable
Weight:25grams open-source
microcontroller
board that can be
integrated into a
variety of electronic
projects. This board
can be interfaced
with other Arduino
boards, Arduino
shields, Raspberry
Pi boards and can
control relays,
LEDs, servos, and
motors as an output.
It holds the data or
program to connect
those pereferal
components and
give smooth results.
4. Arduino The logic part of the Motor Driver is a
Driver input voltage: library for Arduino ₱170.00 1pc.
6 ~ 12V to handle motor
control using an H-
Driven part of the input bridge. It provides
voltage Vs: easy-to-use
4.8 ~ 46V functions for
controlling brushed
The logical part of the DC motors.
work current Iss: 36Ma
Maximum power
dissipation: 25W (T =
75 degree Celsius)
without soldering.
Jumper wires are
typically used with
breadboards and
other prototyping
tools in order to
make it easy to
change a circuit as
needed. Fairly
simple. In fact, it
doesn’t get much
more basic than
jumper wires.
Though jumper
wires come in a
variety of colors, the
colors don’t actually
mean anything. This
means that a red
jumper wire is
technically the same
as a black one. But
the colors can be
used to your
advantage in order
to differentiate
between types of
connections, such as
ground or power.
Detect magnetic
8. Inductive Diameter: 12mm loss due to eddy ₱ 305.00 1pc.
proximity currents that are
metal generated on a
detection conductive surface
sensor by an external
magnetic field. An
AC magnetic field is
generated on the
detection coil, and
changes in the
impedance due to
eddy currents
generated on a
metallic object are
detected.
27
power supply,
consisting of an
insulated chasing
with metal pins that
fit into holes in an
outlet
13. Power - Output Interface : Is an electrical
Supply 5.5mm*2.1mm~2.5mm device that offers ₱1,000.00 1pc.
(DC) - Input : AC220V electric power to an
- Output : DC12V 5A electrical load such
- Power Cord Length : as laptop computer,
1 Meter server, or other
electronic devices.
The main function
of a power supply is
to convert electric
current from a
source to the correct
voltage, current, and
frequency to power
the load. It could be
AC to DC or DC to
DC. Consequently,
power supplies are
sometimes regarded
as electric power
converters.
14. Sata Serial Advanced
Cable Technology ₱ 120.00 1pc.
Attachment (SATA)
or Serial ATA
cables are used to
connect devices in
computer cable
assemblies, such as
storage devices, for
example. The
SATA technology
itself is a connecter
interface primarily
used for computer
bus connections in
storage applications.
In this application,
the cables are used
to connect a mass
30
a rotation at a time –
and these individual
predetermined
phases as what we
refer to as ‘steps’.
Designed to break
up a single full
rotation into a
number of much
smaller (and
essentially equal)
part rotations. For
practical purposes,
these can be used to
instruct the stepper
motor to move
through set degrees
or angles of rotation.
The end result is that
a stepper motor can
be used to transfer
minutely accurate
movements to
mechanical parts
that require a high
degree of precision.
18. Ultrasonic Length:45mm Determine the
sensor Width:20.5mm distance of an object ₱ 250.00 1pc.
distance just like the bats do.
module It offers excellent
HC SR04 non-contact range
Arduino detection with high
accuracy and stable
readings in an easy-
to-use package from
2 cm to 400 cm or 1”
to 13 feet. The
operation is not
affected by sunlight
or black material,
although
acoustically, soft
materials like cloth
can be difficult to
detect. It comes
complete with
33
ultrasonic
transmitter and
receiver module.
USB Cable for
19. USB Length: 50cm Arduino ₱ 150.00 1pc.
cable UNO/MEGA can be
Arduino used to power and
Uno R3 program your
favorite Arduino
board. They are
detachable for the
board.
Schedule of Activities
2. Chapter 1. Doing the introduction, statement of the problem, scope and delimitation, and
definition of terms.
3. Chapter 2. Doing the review of related literature and studies and synthesis of state of art.
4. Chapter 3. Designing the program. Doing research design and methodology, device description,
5. Chapter 4. Counting responses, interpreting the data, working on graphs and tables for data
presentation.
1. Brainstorming A NONE 1
2. Perform Chapter 1 B A 1
3. Perform Chapter 2 C B 1
4. Perform Chapter 3 D C 1
5. Perform Chapter 4 E D 1
6. Perform Chapter 5 F E 1
10. Implement J I
References
Curbell Plastics, Inc. (2024, January 23). Acrylic plastic | Compare Plastics & View Acrylic
material properties | Curbell Plastics.Curbell Plastics.
https://www.curbellplastics.com/materials/plastics/acrylic/
35
Mark. (2022, May 27). The different types of drums and their benefits. ITP Packaging.
https://itppackaging.com/the-different-types-of-drums-and-
theirbenefits#:~:text=PLASTIC%20DRUMS&text=Usually%20made%20of%20HDPE
%20(high,they%20are%20usually%20leak%2Dproof
McCombes, Shona. “Descriptive Research Design | Definition, Methods and Examples.” Scribbr,
15 May 2019, www.scribbr.com/methodology/descriptive-research/.
Nikolopoulou, Kassiani. “What Is Purposive Sampling? | Definition & Examples.” Scribbr, 2022,
www.scribbr.com/methodology/purposivesampling/#:~:text=Purposive%20sampling%20
refers%20to%20a.