1.     Sila lengkapkan dokumen berikut:

a.     Borang permohonan data TERHAD (data satelit beresolusi 5m dan ke bawah); Borang PERLU diisi oleh Dekan atau Pustakawan sahaja; atau

b.     Borang permohonan data TIDAK TERHAD (data satelit beresolusi 5m dan ke atas); Borang diisi oleh pelajar dan

c.     Borang maklumat pelajar

 

2.     Sila sertakan dokumen berikut semasa membuat permohonan:

a.     Salinan kad pengenalan (IC) Dekan atau Pustakawan dan Pelajar

b.     Surat sokongan penyelia projek atau penyelia tesis pelajar

c.     Ringkasan kertas cadangan projek (Project Proposal)

d.     Justifikasi keperluan kawasan kajian (AOI) yang lebih besar bagi pelajar MSc dan PhD untuk pertimbangan dan kelulusan pihak pengurusan ARSM

e.     Koordinat empat pepenjuru kawasan kajian (AOI) yang dikehendaki seperti berikut:

Upper Left   (x:         y:      )

Lower Right (x:         y:      ); atau

f.      Sertakan Peta Lokasi kawasan kajian yang dikehendaki

 

3.     Semakan ketersediaan data di ARSM akan dilaksanakan selepas kami menerima koordinat atau peta lokasi dari pemohon. Preview quicklook data satelit beserta tarikh akan diemel kepada pemohon untuk pemilihan.

 

4.     Fail excel mengenai had maksimum saiz data satelit permohonan pelajar secara percuma dikepilkan bersama emel untuk rujukan.

 

5.     Jenis resolusi (sila pilih dan isi@nyatakan dalam borang atau e-mel maklumbalas kepada pegawai ARSM):

a.     Rendah (30m, 20m)

b.     Sederhana (10m,6m,5m)

c.     Tinggi (2.5m, 1m, 0.5m, 0.3m)

 

6.     Saiz data satelit:

Saiz data satelit yang akan diberikan kepada pelajar adalah terhad mengikut jenis dan resolusi data satelit. Sila rujuk fail excel yang dikepilkan untuk penerangan lanjut.                                                                                                                      

7.     Jenis produk:

a.     System corrected (raw data) – Image is geometrically corrected using Satellite Orbital Parameters; atau

b.     System Corrected Pansharp All Bands – multispectral image combined with panchromatic image

 

8.     Jenis Format

a.     *.JPG 2000 atau

b.     *.GeoTIF

 

9.     Data Processing level

a.     1B – Radiometric and minimal geometric processing is performed to correct distortion from the Earth’s rotation and the panoramic effects associated with oblique viewing angles. When viewed, the image is parallelogram. The scene is oriented along the satellite’s orbital path, not in a map projection; atau

 

b.     2A – Detector normalization is performed in each spectral band for radiometric corrections. The scene is a map projection, geocoded using satellite ephemeris data, and without auxiliary ground control points. The terrain distortion is not corrected.

 

10.  Data satelit yang dibekalkan kepada pelajar Tidak Dilakukan Sebarang Proses Tambahnilai seperti Geocode, Mosaik atau Enhancement. Pelajar perlu melaksanakan sendiri proses-proses berkenaan

Supervisor: Pn Nursyahani binti Nasron 
Co-Supervisor : Pn Siti Aminah Anshah

No. Matrix: 2018287416

Group: RAP2207B

FYP Title: Public Safety Index (not confirmed)
Field of Study: GIS

Supervisor: Dr. Ernieza Suhana binti Mokhtar

Co-SV: -

Group : RAP2207B

FYP Title : Reliancy of LULC with Landslide Hazard by Multispectral Imagery and LiDAR Dataset

Fields of study : GIS

Supervisor : Madam Nurhafiza bt Md Saad

2. To analyse the relationship of dengue cases with climate change and land-use factors.

 3.To build a mobile application for dengue cases monitoring in Selangor.

Research Question :
1. How do climate change and land-use affect dengue pestilences?

2.What factors in the mobile application benefits to diminish the spread of dengue cases in Selangor 

Effect of Temperature on Covid-19 Outbreak using GWR method.

AIM: 

To determine the effect of temperature on the outbreak of Covid-19 based on Landsat 8 Thermal band and monthly Covid-19 using Geographically Weighted Regression (GWR)

OBJECTIVES:

1) To derive LST from Landsat 8 thermal band satellite image.

2) To identify monthly cases of Covid-19 outbreak throughout study area.

3) To determine the relationship between LST and Covid-19 outbreak using GWR.

RESEARCH QUESTIONS:

- How accurate the temperature can be estimated from Landsat 8 thermal band satellite image?

-  Is there a significant difference in monthly temperature?

- What is the pattern of monthly cases of Covid-19 outbreak in Malaysia?

- What is the relationship between temperature and Covid-19 outbreak using GWR?

To determine the monthly Air Pollution Index (API) from year 2019 to 2020 using Kriging method and effect of air pollution towards covid-19 break based on Malaysia Covid-19 cases using Multiscale Geographically Weighted Regression (MGWR)

OBJECTIVES:

1)     To identify the trend of monthly air pollution concentrations in year 2019 and 2020 using Kriging method.

2)     To distinguish monthly cases of Covid-19 outbreak throughout study area.

3)     To determine the effect of air pollution towards covid-19 outbreak using MGWR method.

RESEARCH QUESTIONS
Are there any differences of monthly API concentration in 2019 and 2020

What is the pattern of monthly cases of covid-19 outbreak in Malaysia

How API effect the outbreak?

Can concentration of API influence the Covid-19 break?

Which API affects the break?

RESEARCH QUESTIONS:
1. What is the current value of waqf land in Perlis?

2. What is the spatial database of the waqf land?

The study aim is to carry out a study on the AHP technique to estimate the value of the building property precisely based on the property mass or variables using GIS. 

· To study and examine the AHP model based on the data or criteria include in the study.

· To identify the most and least variables or property mass that contributes to the property valuation in Arau, Perlis using AHP technique.

· To produce a house property valuation plot map in Arau, Perlis using AHP technique in GIS.

· How does the variables or property mass give effect on the building property valuation?

· Does AHP method is a best technique in determining and producing the value map?

Reliancy of LULC With Landslide Hazard By Multispectral Imagery And LiDAR Dataset.

The aim of this study is to identify the reliancy of land use and land cover (LULC) change using geospatial approach.

Based on this aim, the objectives are as follows:

i.To extract information LULC using multispectral imagery and LiDAR dataset. 

ii.To investigate the parameter that influence landslide occur by LULC changes in Cameron Highland.

iii.To produce inventory map showing the probability of landslide in Cameron Highland.

i.What approach will be used to monitor land use and land cover (LULC) changes?

ii.What parameter will be used to detect landslide by LULC changes?

iii.What map will be produced as a final result?
iv.What is the contribution of the map produced? 

2-To analyze the accuracy based on real-time positioning control point.

3-To compare the accuracy provide by RTK and RT-PPP data based on IHO standards.
RESEARCH QUESTIONS :
1- How does the GDOP and PDOP affected the consistency in accuracy?
2- What is the displacement in XY  compare to a static control point?
3- What are the most accurate technique?

Correlation between urban sprawl and rainfall distribution using the integration of GIS and Remote Sensing

The study aim to analysis on the rainfall distribution based on extreme urban sprawl using GIS and RS technique

i. To determine the pattern of rainfall distribution within 10 years starting 2010 until 2020.

ii.  To identify the watershed in Selangor.

iii.  To evaluate the urban growth on land-use in Selangor by using linear regression model.

 

i. Is there any difference in the trend analysis pattern of the rainfall distribution for 10 years?

ii. What is the impact on water sources that cause by urban sprawl?

iii. How to evaluate the effects of urban areas on other categories of land use in Selangor?

Automation of Age Recognition for Oil Palm Plantation Using Multispectral Imagery And E-Cognition 

This study aim to identify the accuracy of automation method in oil palm age by using multispectral image.

1.      To investigate the age of oil palm trees using remote sensing technique (NDVI).

2.      To evaluated the palm counting accuracy from the e-Cognition software.

3.      To generate the amounts of oil palm tree under different oil palm planting conditions and ages with map.

 

1.      What is the technique used to identify the age of oil palm trees?

2.      How to monitor the amount of palm counting accuracy?

3.      What is the best illustration to present the amount and age of oil palm tree?

-To evaluate the quality of speed and signal coverage during online classes. 

-To produce map towards signal coverage and speed based on network coverage in Perlis

Research Question :

R1 – How to extract information of internet speed?

R2 – How to monitor the internet usage capabilities?

R3 – What is the best illustration pattern that can be show in this analysis?

1.     To compute the accurate algorithms 2D and 3D coordinates on angular based of intersection and resection.

2.      To evaluate the accuracy of intersection and resection method by comparing 2D and 3D coordinates algorithms for industrial measurements 

Research questions :

1.     What is the method used to calculate the accuracy of algorithms 2D and 3D coordinates?

2.     How to analyze the accuracy of 2D and 3D coordinates on intersection and resection method?

1)       To investigate geometry checking approaches in ensuring the quality of independent radial measurement technique

2)       To apply the concept of positional accuracy improvement in cadaster database

3)       To apply the best method in order to prove the reliability of independent radial measurement

Research Question :

1)What is the best method to prove the the reliability of independent radial?
3)Do the angle should be consider in order to measure the reliability of independent radial measurement technique?

2)What is the current condition of the boundary?

2. To predict accurate flood occurrence locations. 

Research Question: 
1.       What types of data used in flood susceptibility mapping?

2.       How to process the data?

Which area might be the most probable inundated? 

ii.                  To determine the relationship between those three factors that might affect the health of the trees.
Research questions:
i.                    Which area is potentially and more suitable for producing many Harum Manis mangoes based on Remote Sensing technique?

ii.                  How to determine the health of the Harum Manis mangoes?

2. To identify oil palm healthiness.

3. To analyze the relationship of oil palm age and its healthiness.

Research Questions
1. How to get the estimation of oil palm age by using remote sensing technique.
2. How to identify the healthiness of tree based on its age.
3. How to relate the healthiness with the age of oil palm tree using  remote sensing technique.

Identification of less expensive algorithm to derive realistic precision for cadastral network adjustment.

Research Questions:

1.       How to optimize precision of weightage for each cadastral observation?

2.       How to design high accuracy of cadastral dataset?

Aim: To identify the realistic weightage precision for cadastral legacy dataset using less expensive algorithm with least square adjustment. 

Objectives: 

1.      To identify realistic weightage precision of cadastral observation with less complex algorithm.

2.      To analyse unbiased realistic weightage precision of cadastral observation. 

i. What is the technique used to determine the vulnerability level of coastal profile?

ii. How can this study area show the classification of the land use land cover (LULC) from water level?

iii. What is the potential impacted area along Kelantan coast?

 

The aim of this study is to assess the characteristics of landscape and land use land cover (LULC) of Kelantan coast using satellite images and GIS technique.

 

Based on this aim, the objective is as follows:

i. To determine the vulnerability level of coastal profile using IDW method and Google Earth measurement along management units.

ii. To classify the land use land cover (LULC) along 1 km buffer zone from water level.

iii. To assess the potential impacted area of the coastal profile and land use land cover (LULC) at Kelantan coast.

Aim: The aim of this study is to determine the best method in positioning used which is SBAS, involving different combination of satellite such as GPS and BDS in hydrographic positioning environment according to the requirements given by IHO.

Objective:

1.    To determine the coverage and the continuity of data given by SBAS with different combination of satellites.

2.    To compare the data collected using different combination of satellites which are emphasis on point positioning, computational complexity, availability and flexibility.

3.    To analyse the best combination of satellites based on SBAS system as follows the tolerance referred to IHO.

Research Question

1.    How to determine the coverage and the continuity of data given by SBAS with different combination of satellites?

2.    What are type of information that will focused on the data collection from SBAS system?

3.    Which are the best combination of satellites in order to carry out positioning and follow the tolerance given by IHO?

2.    To analyse topographical feature using the orthophoto.

3.    To produce map of the area.

Research Question
i. How to proof the historical value at the area?

ii. What are the topographical features at the area of Kota Kayang Museum in a map? 
iii. How to produce map of the area? 

ii. To analyses the spatial modelling for geophysical imaging.

iii. To evaluate tomographic sinkhole formation in spatial modelling.
Research Question 

i.What is the condition of geophysical in subsurface content?

ii.How geophysical imaging can determine the sinkhole?

 

Title : 3D Modelling of Palace at Kampung Wai

 

Aim : The aim is to create 3D modelling of loss palace at Kampung Wai

 

Objectives

1. To analyze the important features lies around the palace on map.

2. To visualize the design of the palace and its area 

 

 

Research Question

.1. What are the features lies on that area in map?

2. How to visualize the palace building and its area?

Multimedia Technology in Teaching and Learning Sirah with Geographic Elements in Primary School

The study aims to develop well-design multimedia prototype in the context of teaching and learning Sirah with geographic elements for primary school students.

 

1. To identify the teacher's perceptions on developed multimedia prototype in teaching and learning Sirah for primary school students.

2. To improve multimedia prototype on Sirah according to the teacher’s perceptions

3. To test the multimedia prototype to the primary school students for the effectiveness in learning Sirah

1.     What is teacher’s perception on developed multimedia prototype to make improvements?

2.     What needs to be improved based on teacher’s feedback for the multimedia prototype?

3.     Is there any improvement after the user acceptance applied to teacher and student’s regarding the multimedia prototype?

-The aim of the study is to evaluate the gravimetric geoid model in Peninsular Malaysia.

Based on this aim, the objective is as follows:

i.             To study the performance of KTH method derived geoid model

ii.           To study the impact of GDEM in the geoid computation

iii.         To produce new hybrid geoid model over Peninsular Malaysia

 

1.      Does geoid model precision can be achieved in KTH  method approaches?

2.      How does the DEM data affect geoid accuracy?

3.      How can geoid data coincide with local geoid?

 

Estimating Above Ground Biomass and Carbon Stock Using Machine Learning Approach 

To estimate the aboveground biomass and carbon stock using machine learning approach of Ayer Hitam Forest Reserve, Selangor. 

1.      To identify the data of aboveground biomass and carbon stock for Ayer Hitam Forest Reserve in Selangor.

2.      To develop the carbon stock estimation using machine learning approach.

3.      To produce aboveground biomass and carbon stock map. 

1.      What is the main data that can be determine from the Ayer Hitam Forest Reserve?

2.      What kind of method can be used for aboveground biomass and carbon stock estimation?

3.      What type of outcome will be obtained from the estimation?

As soon as you received the result, You must set a meeting with your supervisor and discuss all the comments from panels during viva. Revise and do correction after discussion made.

The action need to be taken based on viva panel report :
NO CORRECTION : 
1.) Submit table of correction with supervisor's endorsement
2.) Remarks : There is no amendment done due to no correction during proposal defense
3.) Endorsed by supervisor only
MINOR CORRECTION :
1.) Submit table of correction with supervisor's endorsement with a copy of panel report (Coordinator will check if the amendment done according to panel's advise).
2.) Endorsed by Supervisor only.
MAJOR CORRECTION :
1.)  Submit table of correction with supervisor's and one of the panel's endorsement with a copy of panel report (Coordinator will check if the amendment done according to panel's advise).
2.) Endorsed by Supervisor and one panel.
KIV :
1.) Students may need to reviva upon panel's request. If not, endorsement from both panels are compulsory.
2.)Submit table of correction with supervisor's and both panels' endorsement with a copy of panel report (Coordinator will check if the amendment done according to panel's advise). 
3.) Endorsed by Supervisor and both panels

1.      AIM OF STUDY

This study aims to estimate mangroves above-ground biomass that prone to mean sea level rise trend in Malaysia.

2.      OBJECTIVE
i. To calculate mean sea level trend using tidal data from Jupem.

 ii. To identify the deforested area via python script around research area.

  iii. To analyze above-ground biomass around research area for potential loss carbon stock. 

 iv.To identify above-ground biomass that is potentially lose due to mean sea level rise.

3.      RESEARCH QUESTION

i. To study standard rate of road construction.

ii. To apply Revit cost estimation for road construction.

iii. To analyze BIM concept in Revit for road construction estimation.

RESEARCH QUESTION:
i. How to estimate cost for road pavement?
ii. How can BIM assist engineers and architects in repairing damaged roads?

iii. What is the advantages of using BIM over the old method?

STUDENT ID: 2018657428

SUPERVISOR: ENCIK MOHAMAD ASRUL B. MUSTAFAR

CO-SUPERVISOR: PROF. MADYA DR. MOHD AZWAN BIN ABBAS 

i. To prepare the construction operation simulation by integrating 4D BIM.

 ii. To produce the construction schedule management from the simulation data.

RESEARCH QUESTION:
i. How the construction operation simulation can be performed by integrating 4D BIM?

ii. What is the method to produce the construction schedule management?

Supervisor : Encik Mohamad Asrul Bin Mustafar
Percentage Complete: 55%
Summaries :
1. Chapter 1,2 and 3 have been done in last semester.

2. Already start coding for Apps using Android Studio 

3. Will distribute questionnaire to some tester after app have been done.

NO MATRIX: 2018265348

GROUP: RAP2208B

FYP TITLE: EFFECT OF TEMPERATURE ON THE LOCAL VARIATION OF COVID-19 OUTBREAK USING MGWR METHOD

SUPERVISOR: DR ROHAYU BINTI HARON NARASHID

PERCENTAGE COMPLETE: 55%

SUMMARIES:

1. Extract LST from sentinel 3 level 2 images (objective 1)

2.  Some update for chapter 1,2 and 3

3.   Data collection for COVID-19 cases and temperature data

NO MATRIX: 2018249634

GROUP: RAP2208B

FYP TITLE: ASSESSMENT OF COASTAL LANDSCAPE USING GEOSPATIAL TECHNIQUES ALONG KELANTAN COAST

SUPERVISOR: SR. GS. DR. FAZLY AMRI BIN MOHD

PERCENTAGE COMPLETE: 80%

SUMMARIES:

1. Chapter 1,2 and 3 have been done in last semester but it will be update from time to time.
2. Data chainage for longitudinal section and cross section had been collected in last semester from Google Earth on year 2020.
3. Data satellite image which is Sentinel 2 image on year 2020 had been downloaded from USGS browser in last semester.
4. Objective 1, objective 2 and objective 3 had been processed.

5. Analysis based on the result from objective 1, 2 and 3 are being performed.
6. Preparing for chapter 4 and chapter 5 in thesis writing. 

MATRIX NO : 2018262732

GROUP : RAP2208B

FYP TITLE : DEVELOPMENT OF DIGITAL ELEVATION MODEL (DEM) OVER SOUTHEASTERN TUBA ISLAND KEDAH
SUPERVISOR NAME : SIR MUHAMMAD FAIZ BIN PA'SUYA

PERCENT COMPLETE : 60 %

SUMMARIES:

1. Chapter 1,2 and 3 have been done in last semester but it will be update from time to time.

2. Have been done data collection and then process the data for objective 1 and 2

3. Have been done analysis based on the result from objective 1 and 2 

4. Preparing for chapter 4 and chapter 5 in thesis writing. 

NO MATRIX: 2018287572

GROUP: RAP2208B

FYP TITLE: EFFECT OF NO₂ ON THE LOCAL VARIATION OF COVID-19 OUTBREAK USING MGWR METHOD

SUPERVISOR: DR ROHAYU BINTI HARON NARASHID

PERCENTAGE COMPLETE: 55%

SUMMARIES:

1. Extract NO₂ from sentinel  5P (objective 1)

2.  Some update for chapter 1,2 and 3

3.   Data collection for COVID-19 cases 

Supervisor : Dr. Nazirah bt. Md Tarmizi
Percentage Complete: 45%

Summaries :
1. Chapter 1,2 and 3 have been done in last semester but needs to update from time to time (literature review and problem statement).

2. Already start performing a objective 1.

3. In progress to distribute questionnaire to some tester.

NO MATRIX: 2017699964

GROUP: RAP2208A

FYP TITLE: BUILDING INFORMATION MODELING (BIM) FOR EXISTING BUILDING TO ASESS AN INFORMATION FRAMEWORK FOR DETAILED COST ESTIMATION

SUPERVISOR: SR. ZAKI BIN AHMAD DAHLAN

PERCENTAGE COMPLETE: 55%

SUMMARIES:

1. Chapter 1,2 and 3 have been done in last semester but it will be update from time to time for literature review.
2. Existing data 3D already process in Autodesk Revit wait for cost estimation data from Unit Facility (Sir Samsuri).
3. After get the data, i will process in Revit and then generate into cost estimation for graphical 3D modeling.
4. Objective 1, objective 2 had been processed.

5. Analysis based on the result from objective 1, 2 are being performed but need to touch up.
6. Preparing for chapter 4 and chapter 5 in thesis writing. 

EVALUATION METHOD IN LEAST

SQUARE ADJUSTMENT

3.1   Introduction

3.2   Flow Chart                                  

3.3   Workflow of Methodology       

3.4   Preliminary Study                     

         3.4.1  Study Area                    

         3.4.2  Software Used             

3.5   Data Collection                          

         3.5.1  Site Visit by NAHRIM  

         3.5.2  Google Earth Measurement                                       

          3.5.3  Image Satellite Data       

3.6   Data Processing                        

          3.6.1  Image Pre-processing

          3.6.2  Data Tabulation           

          3.6.3  Generate Beach Profile  

3.7   Analysis of Beach Slope          

3.8   Map Production                   

NO. MATRIX: 2018287416

GROUP: RAP2208B

FYP TITLE: IMPROVEMENT OF GEO-SIRAH PROTOTYPE FOR SIRAH SUBJECT: PRIMARY SCHOOL STUDENTS

SUPERVISOR: GS. DR. ERNIEZA SUHANA BINTI MOKHTAR

PERCENTAGE COMPLETE: 50%

SUMMARIES:

1. Chapter 1,2 and 3 will be updated from time to time.

2. Development of prototype still in progress.

3. Distribution of questionnaires for application testing after the prototype is done.

Thesis Title: Geographic Information System (GIS) - Based Solar Panel Site Selection Using Analytic Hierarchy Process (AHP) Technique
Variable data : Continuous
1. DEM
2. TIN
3. Slope
4. Temperature

Variable data : Dependent
1. Malaysia Peninsular shapefile

Variable data : Independent
2. Sejarah Form 2 Textbook 

TOPIC: EFFECT OF TEMPERATURE ON THE LOCAL VARIATION OF COVID-19 OUTBREAK USING MULTISCALE GEOGRAPHICALLY WEIGHTED REGRESSION METHOD

Variable data: Dependent
COVID-19 cases

Variable data: Independent
Land Surface Temperature

Variable data: Continuous
Temperature

2. NO2-INDEPENDENT

Thesis Title: Spatial Autocorrelation Analysis on Live Born Premature Births at Perlis in Year 2019

-Race

-Age of mothers

-Gestational week

-Number of births

-Number of miscarriages

-Weight of live born

-Gender of live born

-Education level of mothers

-Occupation of mothers

-Types of births

-Status of mothers

-Address

-District/Mukim

-Locality

-Coordinate (lat/long)