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Identification of the best rice seed variety
   and new potential area for paddy field in
           Lombok island, Indonesia


Serge Claudio Rafanoharana
Outline

•   Background
•   Objectives
•   Methodology
•   Results and Discussion
•   Conclusion
Background

      • Rice is the main food in many
        areas especially in Asia
      • Study about rice production is
        becoming one of the main
        researches conducted in those
        areas
Problem Statement

• Complexity of the
  decision             IR68
• Inconsistency of
  the decision
  maker
• Conflicting
  between the
  individuals
• Variation of
  perception from
  one individual to
  another
Goals
• To identify the best rice seed variety to be
  planted in a paddy field based on ecologic,
  economic, and social factors
• To identify the potential area for paddy
  field to increase rice production
• To develop Internet application to publish
  the result
Brief solution
METHODOLOGY
General Flow of the Study
Study Area



Java Island                Lombok Island
Analytic Hierarchy Process

The analytic hierarchy process (AHP), which provides a
proven, effective means to deal with complex decision
making, was first introduced by Thomas Saaty in 1970’s
                                   Evaluation phase is divided
                                   into four steps given below;
                                   1. Generate pairwise matrices
                                   2. Generate the weights of the
                                   measures
                                   3. Normalize weights to get
                                   the consistency among
                                   measures
                                   4. Calculate the overall
                                   ratings
Analytic Hierarchy Process




      • STATE THE OBJECTIVE:
         SELECT THE BEST RICE SEED VARIETY

      • DEFINE THE CRITERIA:
         LAND SUITABILITY, PRODUCTIVITY,
         FARMERS PREFERENCE

      • PICK THE ALTERNATIVES:
         PANDANWANGI, RAJALELE, IR68
Analytic Hierarchy Process




        AHP Tree
Identification of the potential area for
paddy field
Landsat TM

Supervised Classification
                             Geo referenced Image

                               Dark Pixel Correction
                              Atmospheric Correction

                              Select Training Area

                                 Calculate Region
                                     Statistics


                             Image Classification using
                               Maximum Likelihood



                                    Display
                                 And Evaluate
   Selecting Training Area       Classification
                                    Result



                              Image Classification
Web-based GIS Architecture
RESULTS
Pair-wise Comparisons
USING PAIRWISE COMPARISONS, THE RELATIVE IMPORTANCE
OF ONE CRITERION OVER ANOTHER CAN BE EXPRESSED

   1 equal        3 moderate       5 strong         7 very strong     9 extreme

                       Land        Productivity      Farmers        Priority Vector
                     Suitability                    Preference
 Land Suitability        1              3               5                0.62

   Productivity         1/3             1               4                0.28
Farmers Preference      1/5            1/4              1                0.10

                                    Criteria Weights
           Land Suitability:                 0.62
           Productivity:                     0.28
           Farmers Preference:               0.10
Ranking of alternatives        PW: Pandanwangi
                                RL: Rajalele
                                IR68: IR68
Land Suitability
  LS      PW       RL    IR68   Priority Vector

  PW       1        3     5          0.61
  RL      1/3       1    1/4         0.13
  IR68    1/5       4     1          0.26


Productivity
  PR      PW       RL    IR68   Priority Vector

  PW       1        4     3          0.62
  RL      1/4       1     2          0.22
  IR68    1/3      1/2    1          0.16

Farmers Preference
  FP      PW       RL    IR68   Priority Vector

  PW       1       5      7          0.73
  RL      1/5      1      3          0.19
 IR68     1/7      1/3    1          0.08
The highest rank is Pandanwangi, meaning that the best variety of rice
seed recommended to be planted in the paddy field is Pandanwangi with
a percentage of 62%, followed by IR68 at 22% and by Rajalele at 16%.
Graphical representation of the benefits and costs
               0.7
               0.6                                                  Pandanw angi

               0.5
                                                                                   Pandanw angi
     Benefit




               0.4
                                                                                   Rajalele
               0.3
                                                                                   IR68
               0.2                   IR68
                                                   Rajalele
               0.1
                0
                     0   0.1   0.2           0.3              0.4   0.5      0.6
                                            Cost



    If considering the costs and benefits, the highest score is the Rajalele
    variety, followed by IR68 and Pandanwangi with score 1.92, 0.96, and
    0.77 respectively. In general, we chose the alternative with lowest cost
    and highest benefit if considering costs and benefits.
Supervised Classification




    Image classification process   Image classification result
Terrain Processing




Digital Elevation Shuttle Radar Topography   Slope
            Mission (SRTM) Data
Model to identify the potential area for paddy field
Web-based Tool for Group Decision Making
          Gov’t




                                     Farmers




             Local      Scientists and
          Communities      Experts
Conclusion
•   This study used AHP in Pandanwangithe best rice seed variety to be planted in a
                              order to identify variety got the highest score with
    paddy field based on ecologic, economic, and social factors. The Pandanwangi
    variety got the highest score with 0.62 which is 62%,IR68 with 0.22 ( best rice seed
                             0.62 (62%), followed by meaning that the 22%) and
    variety recommended to be last one is Rajalele withPandanwangi. It is followed
                             the planted in the paddy field is a score of 0.16 (16%).
    by IR68 with approximately 0.22 which is 22% and the last one is Rajalele with a
    score of 0.16 which is 16%. The consideration of costs and benefits showed that the
    highest score is the Rajalele variety, followed by IR68 and Pandanwangi with score
    1.92, 0.96, and 0.77 respectively. In general, we chose the alternative with lowest
    cost and highest benefit.

•   We used Model3.19% (146 km2)functionality offered within ArcGIS software. The
                      Builder which is a of the total area (4564 km2) are best areas
    use of Model Builder is very interesting and helpful. There is no need to execute one
    by one all of the processes. maximum productivity, run the model km2) as
                            with Once the model is built, we 2.73% (125 and all
    processes are executed. The potentialbe shown by adding the proper layer to the
                                   result can areas, and 1.24% (57 km2)
    table of content tools. The result showed that 3.19% (146 km2) of the total area (4564
    km2) are best areas with maximum productivity, areas with km2) as treatment.
                        considered as potential 2.73% (125 specific
•   potential areas, and 1.24% (57 km2) considered as potential areas with specific
    treatment. These areas are mainly located in the west and south part of the Island.

•   Finally, the new potential area for paddy field is published
    on the Internet. Since the system is Web-based oriented, it is very helpful for
    the end users because the World Wide Web supports e-business including internal and
    external global communications, decision making, and collaboration among stakeholders.
Thank You

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Identification of the best rice seed variety and new potential area for paddy field

  • 1. Identification of the best rice seed variety and new potential area for paddy field in Lombok island, Indonesia Serge Claudio Rafanoharana
  • 2. Outline • Background • Objectives • Methodology • Results and Discussion • Conclusion
  • 3. Background • Rice is the main food in many areas especially in Asia • Study about rice production is becoming one of the main researches conducted in those areas
  • 4. Problem Statement • Complexity of the decision IR68 • Inconsistency of the decision maker • Conflicting between the individuals • Variation of perception from one individual to another
  • 5. Goals • To identify the best rice seed variety to be planted in a paddy field based on ecologic, economic, and social factors • To identify the potential area for paddy field to increase rice production • To develop Internet application to publish the result
  • 8. General Flow of the Study
  • 9. Study Area Java Island Lombok Island
  • 10. Analytic Hierarchy Process The analytic hierarchy process (AHP), which provides a proven, effective means to deal with complex decision making, was first introduced by Thomas Saaty in 1970’s Evaluation phase is divided into four steps given below; 1. Generate pairwise matrices 2. Generate the weights of the measures 3. Normalize weights to get the consistency among measures 4. Calculate the overall ratings
  • 11. Analytic Hierarchy Process • STATE THE OBJECTIVE: SELECT THE BEST RICE SEED VARIETY • DEFINE THE CRITERIA: LAND SUITABILITY, PRODUCTIVITY, FARMERS PREFERENCE • PICK THE ALTERNATIVES: PANDANWANGI, RAJALELE, IR68
  • 13. Identification of the potential area for paddy field
  • 14. Landsat TM Supervised Classification Geo referenced Image Dark Pixel Correction Atmospheric Correction Select Training Area Calculate Region Statistics Image Classification using Maximum Likelihood Display And Evaluate Selecting Training Area Classification Result Image Classification
  • 17. Pair-wise Comparisons USING PAIRWISE COMPARISONS, THE RELATIVE IMPORTANCE OF ONE CRITERION OVER ANOTHER CAN BE EXPRESSED 1 equal 3 moderate 5 strong 7 very strong 9 extreme Land Productivity Farmers Priority Vector Suitability Preference Land Suitability 1 3 5 0.62 Productivity 1/3 1 4 0.28 Farmers Preference 1/5 1/4 1 0.10 Criteria Weights Land Suitability: 0.62 Productivity: 0.28 Farmers Preference: 0.10
  • 18. Ranking of alternatives PW: Pandanwangi RL: Rajalele IR68: IR68 Land Suitability LS PW RL IR68 Priority Vector PW 1 3 5 0.61 RL 1/3 1 1/4 0.13 IR68 1/5 4 1 0.26 Productivity PR PW RL IR68 Priority Vector PW 1 4 3 0.62 RL 1/4 1 2 0.22 IR68 1/3 1/2 1 0.16 Farmers Preference FP PW RL IR68 Priority Vector PW 1 5 7 0.73 RL 1/5 1 3 0.19 IR68 1/7 1/3 1 0.08
  • 19. The highest rank is Pandanwangi, meaning that the best variety of rice seed recommended to be planted in the paddy field is Pandanwangi with a percentage of 62%, followed by IR68 at 22% and by Rajalele at 16%.
  • 20. Graphical representation of the benefits and costs 0.7 0.6 Pandanw angi 0.5 Pandanw angi Benefit 0.4 Rajalele 0.3 IR68 0.2 IR68 Rajalele 0.1 0 0 0.1 0.2 0.3 0.4 0.5 0.6 Cost If considering the costs and benefits, the highest score is the Rajalele variety, followed by IR68 and Pandanwangi with score 1.92, 0.96, and 0.77 respectively. In general, we chose the alternative with lowest cost and highest benefit if considering costs and benefits.
  • 21. Supervised Classification Image classification process Image classification result
  • 22. Terrain Processing Digital Elevation Shuttle Radar Topography Slope Mission (SRTM) Data
  • 23. Model to identify the potential area for paddy field
  • 24.
  • 25. Web-based Tool for Group Decision Making Gov’t Farmers Local Scientists and Communities Experts
  • 26.
  • 27. Conclusion • This study used AHP in Pandanwangithe best rice seed variety to be planted in a order to identify variety got the highest score with paddy field based on ecologic, economic, and social factors. The Pandanwangi variety got the highest score with 0.62 which is 62%,IR68 with 0.22 ( best rice seed 0.62 (62%), followed by meaning that the 22%) and variety recommended to be last one is Rajalele withPandanwangi. It is followed the planted in the paddy field is a score of 0.16 (16%). by IR68 with approximately 0.22 which is 22% and the last one is Rajalele with a score of 0.16 which is 16%. The consideration of costs and benefits showed that the highest score is the Rajalele variety, followed by IR68 and Pandanwangi with score 1.92, 0.96, and 0.77 respectively. In general, we chose the alternative with lowest cost and highest benefit. • We used Model3.19% (146 km2)functionality offered within ArcGIS software. The Builder which is a of the total area (4564 km2) are best areas use of Model Builder is very interesting and helpful. There is no need to execute one by one all of the processes. maximum productivity, run the model km2) as with Once the model is built, we 2.73% (125 and all processes are executed. The potentialbe shown by adding the proper layer to the result can areas, and 1.24% (57 km2) table of content tools. The result showed that 3.19% (146 km2) of the total area (4564 km2) are best areas with maximum productivity, areas with km2) as treatment. considered as potential 2.73% (125 specific • potential areas, and 1.24% (57 km2) considered as potential areas with specific treatment. These areas are mainly located in the west and south part of the Island. • Finally, the new potential area for paddy field is published on the Internet. Since the system is Web-based oriented, it is very helpful for the end users because the World Wide Web supports e-business including internal and external global communications, decision making, and collaboration among stakeholders.