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DEPARTMENT OF BIOLOGY
FACULTY OF SCIENCE & MATHEMATICS
UNIVERSITI PENDIDIKAN SULTAN IDRIS
INFORMATION AND COMMUNICATION TECHNOLOGY IN BIOLOGY
SBI 3013
ASSIGNMENT 2
STUDENT’S NAME AND
MATRIC NUMBERS
NAJAT BINTIMD MUHTAR (D20152071966)
NOOR NADIABINTI ALIAS (D20152071973)
NOR ERLINA BINTI MOHD SAHI (D20152071991)
GROUP A
LECTURE’S NAME ENCIKAZMI BIN IBRAHIM
DATE 14 MAC 2016(TUESDAY)
TITLE “DATA LOGGER”
Introduction
Data logger is an instrument that capable of picking up and storing signals from
sensors. For ease of use, they generally have a minimum number of displays and
controls. Their portability enables remote data logging, for example remote data away
from the computer. Data loggers are either fitted with an internal battery that is
rechargeable or use regular alkaline batteries. Some may have external power supplies.
Most data loggers store data in non-volatile memory, which means the data is not going
to lose if the power supply fails.
Data logging is the measurement and recording of physical or electrical
parameters over a period of time. Data logging also can be defined as using an
electronic instrument to take measurement from sensors and storing them for future
use. Common measurements are temperature, pressure, transpiration, current, and
velocity.
Scientific Concept
• Transpiration is a process loss of water in the form of water vapor from part of
plant especially leaves but also in stems, flower and roots.
• Leaves transpiration occur through stomata.
• Transpiration cools plants and enable mass flow of mineral nutrients and water
from roots to shoots.
Problem Statement
 To study which condition either present or absent of light will cause the plant
loses water most?
Objective
• To determine which condition cause the plant lose water most.
• To understand the transpiration phenomenon.
• To examine the phenomenon by using data logger.
Data Logger
Engage
During a hot and sunny day, it seems that, sitting under a tree is much cooler
compared to the surrounding that is exposed to sunlight. Why this phenomenon occur?
Explain.
Empower (Planning Experiment)
Diagram 1
Procedure:
1) Done the experiment in the laboratory (presence of light)
2) Set up the apparatus as diagram above.
3) Place the humidity sensor inside the plastic bag and wrapped around a branch of
plant.
4) Set the data logger.
5) Set the data logger and record the result for a few hours.
6) Repeat the experiment by place the plant at different place that are inside the
cupboard (absence of light).
Result:
A) Rate of humidity outside the cupboard.
Table 1 : Rate of humidity outside of the cupboard
B) Rate of humidity inside the cupboard.
Graph 1 : Rate of humidity outside of the cupboard
Table 1 : Rate of humidity inside of the cupboard
Graph 1 : Rate of humidity inside of the cupboard
PBL (Discussion)
Question:
1. What cause the plastic bag to turn cloudy at the end of the experiment?
2. What triggers the water to be expelled from the plant?
3. Where does the water which has been expelled come from?
4. Which structure in the leaf helps to draw water out?
5. Which structure helps to control the opening and closing of stomata?
Answer:
1) There were water droplets in the bag. The bag may appear cloudy because of
water vapour in the bag.
2) The inner side of the plant is in hot condition. Thus to make it cooler the plant
has to expel the water out from its body.
3) The water comes from the soil. The uptake of water from the soil is via osmosis,
then the water enters neighbouring cell until it reached the pore.
Enhance:
Why it is not advisable to water the
plant during mid-day?
Explain the phenomenon.
Unique Features
Conclusion
In conclusion, data logger is an electronic device that records data over time or in
relation to location either with a built in instrument or sensor or via external
instruments and sensors. It really gives a lot of advantages. For example
measurements are always taken at the right time in using data logger. Unlike a
human the computer will not forget to take a reading or take a reading too late or
too early. Besides that, mistakes are also not made in reading the results when
using data logger. We can see that humans can make errors, so we need data
logger device to solve problems. For example it is quite easy to misread the
temperature using the scale on a thermometer. That’s why data logger is important
in reading a scale. Data logging devices also can be sent to the places that humans
not easily get to for example to the planet Mars, into the bottom of a volcano, or
onto a roof of a tall building to get to weather station. Graphs and tables of results
can be produced automatically by the data logging software. Data logger device
really make our life beong more easy to handle.
Unique
Features
Experiment can be
repeated or stopped at
any time as most of the
work is taken over by the
data logger
The pattern of
temperatureand
humidity changes
can be observed on
the samegraph
More than one sensor
can be used
simultaneously (humidity
and temperatures
sensor)
Itcan saveour
time since the
experiments do
not take a long
period.
REFERENCE
1. Frost, R. (2003a). The IT in Secondary Science Book. Cambridge : IT in Science
Publishing.
2. Frost, R. (2003b). Data logging in Practice. Cambridge: IT in Science
Publishing.

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Sbi data logger

  • 1. DEPARTMENT OF BIOLOGY FACULTY OF SCIENCE & MATHEMATICS UNIVERSITI PENDIDIKAN SULTAN IDRIS INFORMATION AND COMMUNICATION TECHNOLOGY IN BIOLOGY SBI 3013 ASSIGNMENT 2 STUDENT’S NAME AND MATRIC NUMBERS NAJAT BINTIMD MUHTAR (D20152071966) NOOR NADIABINTI ALIAS (D20152071973) NOR ERLINA BINTI MOHD SAHI (D20152071991) GROUP A LECTURE’S NAME ENCIKAZMI BIN IBRAHIM DATE 14 MAC 2016(TUESDAY) TITLE “DATA LOGGER”
  • 2. Introduction Data logger is an instrument that capable of picking up and storing signals from sensors. For ease of use, they generally have a minimum number of displays and controls. Their portability enables remote data logging, for example remote data away from the computer. Data loggers are either fitted with an internal battery that is rechargeable or use regular alkaline batteries. Some may have external power supplies. Most data loggers store data in non-volatile memory, which means the data is not going to lose if the power supply fails. Data logging is the measurement and recording of physical or electrical parameters over a period of time. Data logging also can be defined as using an electronic instrument to take measurement from sensors and storing them for future use. Common measurements are temperature, pressure, transpiration, current, and velocity. Scientific Concept • Transpiration is a process loss of water in the form of water vapor from part of plant especially leaves but also in stems, flower and roots. • Leaves transpiration occur through stomata. • Transpiration cools plants and enable mass flow of mineral nutrients and water from roots to shoots. Problem Statement  To study which condition either present or absent of light will cause the plant loses water most?
  • 3. Objective • To determine which condition cause the plant lose water most. • To understand the transpiration phenomenon. • To examine the phenomenon by using data logger. Data Logger Engage During a hot and sunny day, it seems that, sitting under a tree is much cooler compared to the surrounding that is exposed to sunlight. Why this phenomenon occur? Explain.
  • 4. Empower (Planning Experiment) Diagram 1 Procedure: 1) Done the experiment in the laboratory (presence of light) 2) Set up the apparatus as diagram above. 3) Place the humidity sensor inside the plastic bag and wrapped around a branch of plant. 4) Set the data logger. 5) Set the data logger and record the result for a few hours. 6) Repeat the experiment by place the plant at different place that are inside the cupboard (absence of light).
  • 5. Result: A) Rate of humidity outside the cupboard. Table 1 : Rate of humidity outside of the cupboard
  • 6. B) Rate of humidity inside the cupboard. Graph 1 : Rate of humidity outside of the cupboard
  • 7. Table 1 : Rate of humidity inside of the cupboard Graph 1 : Rate of humidity inside of the cupboard
  • 8. PBL (Discussion) Question: 1. What cause the plastic bag to turn cloudy at the end of the experiment? 2. What triggers the water to be expelled from the plant? 3. Where does the water which has been expelled come from? 4. Which structure in the leaf helps to draw water out? 5. Which structure helps to control the opening and closing of stomata? Answer: 1) There were water droplets in the bag. The bag may appear cloudy because of water vapour in the bag. 2) The inner side of the plant is in hot condition. Thus to make it cooler the plant has to expel the water out from its body. 3) The water comes from the soil. The uptake of water from the soil is via osmosis, then the water enters neighbouring cell until it reached the pore. Enhance: Why it is not advisable to water the plant during mid-day? Explain the phenomenon.
  • 9. Unique Features Conclusion In conclusion, data logger is an electronic device that records data over time or in relation to location either with a built in instrument or sensor or via external instruments and sensors. It really gives a lot of advantages. For example measurements are always taken at the right time in using data logger. Unlike a human the computer will not forget to take a reading or take a reading too late or too early. Besides that, mistakes are also not made in reading the results when using data logger. We can see that humans can make errors, so we need data logger device to solve problems. For example it is quite easy to misread the temperature using the scale on a thermometer. That’s why data logger is important in reading a scale. Data logging devices also can be sent to the places that humans not easily get to for example to the planet Mars, into the bottom of a volcano, or onto a roof of a tall building to get to weather station. Graphs and tables of results can be produced automatically by the data logging software. Data logger device really make our life beong more easy to handle. Unique Features Experiment can be repeated or stopped at any time as most of the work is taken over by the data logger The pattern of temperatureand humidity changes can be observed on the samegraph More than one sensor can be used simultaneously (humidity and temperatures sensor) Itcan saveour time since the experiments do not take a long period.
  • 10. REFERENCE 1. Frost, R. (2003a). The IT in Secondary Science Book. Cambridge : IT in Science Publishing. 2. Frost, R. (2003b). Data logging in Practice. Cambridge: IT in Science Publishing.