24 of the point is more than or equal to 1 and less than or equal to 7, and the y
coordinate is more than or equal 1 and less than or equal 8. In Figure 24, user put a point in coordinate of 6, 7. By using certain algorithm, since the x coordinate is
more than 1 but less than 7 and coordinate of y is more than 1 but less than 8, the system will read that the point is located on polygon a, and then read the attributes
of polygon a to be served as information. Also if user put a point on q 11, 4, the system will read that point q is located on polygon b by the same algorithm, and if
user put a point on r 13, 5, the system will read that point r is not located on any polygon a, b, or c.
The system was implemented by using several web programming language, such as html, css, php, javascript, and jQuery. Copy of code below is example of
query code written in php. This code will return the result of location suitability based on coordinate input which is represented by longitude lng variable and
latitude lat variable. Some PostGIS function are used in this code, which are ST_Within, ST_SetSRID, and ST_MakePoint. This sample code used the same
principle as shown by Figure 24.
cek kesesuaian cek_suai=SELECT b.nama_desa, b.luas, a.kesesuaian
FROM kesesuaian AS a, desa AS b WHEREST_WithinST_SetSRIDST_MakePointlng,lat,4326
, a.geom AND a.id_desa=b.id_desa; kueri= cek_suai;
output_suai = run_kueripg_conn_string, kueri; suai=output_suai;
kesesuaian = suai[2];
The developed system is a web-based mobile application that can be installed on an Android device. The installer is in the form of .apk file, can be downloaded
from http:arif.mit.biotrop.org or http:broilerfarmloc.web.id. After the application is installed, there will be an icon in the application list. Figure 25 shows
the application icon in the application list shown by red circle.
a b
c Figure 25. Application after installed on mobile device. Application icon on
drawer a, splash screen b, and homescreen c
25 Main features in this system are: detect location using GPS Global
Positioning System, suitability based on form input, location recommender based on farm capacity, and other information according to broiler industry.
1. Detect location by using GPS
The first thing the user have to do to use this system is define the location. In this system there are two method to define location: 1 by selecting name of desa
and moving cursor on the map, or 2 detect location automatically by using mobile GPS. To define location by selecting name of desa, user have to select the name
and then move the cursor to the appropriate location. However, sometimes this method is difficult to do. To help user to define location, this system can detect
use
r’s location by using mobile GPS. As shown by Figure 26, to detect the location by using GPS, user may simply click blue button, and the system will detect the
coordinate of latitude and longitude of the location. After refresh button is pressed, the yellow cursor will go to the location as detected.
Figure 26. Detect location by using GPS Once after the location is defined, user can obtain the information of
suitability according to the location. Figure 27 shows the suitability information displayed after location is defined. For area which are categorized as very
unsuitable or unsuitable, a reasoning system also displayed to give reasons of why the location is categorized as very unsuitable or unsuitable.
Figure 27. Suitability information section
26
2. Suitability based on form input
This feature is was developed especially for user which is not located in Parung since there was no spatial data for area outside Parung. The idea of this
feature was to calculate the suitability of a location based on score of each criteria inputted by multiple choice form. Five choices are provided for each question of
criteria each of which has score. The score based on choice simply multiplied by weight of the criteria. The final suitability score will be obtained hierarchically
based on AHP hierarchy. Figure 28 shows the display of the input form.
Figure 28. Input form to calculate suitability for area outside Parung The output of this feature is suitability in linguistic value, suitability in
percentage, and climatic information based on the location inputted. Figure 29 shows the calculation result based on input form.
Figure 29. Analysis result based on input form for location outside Parung
27
3. Location recommender based on farm capacity
This feature was designed to help farmer to choose the best location based on farm capacity which will be built. User only needs to input the farm capacity, and
the system will give location recommendation based on the capacity. Figure 30 shows the recommended location based on farm capacity of 4000 heads of broiler.
The recommendation is based on assumption of 1 ha of land for 40,000 heads of broiler farm capacity.
Figure 30. Recommended location based on farm capacity
4. Other information of broiler industry
Based on system development analysis, farmer also needs information according to broiler industry. The information served by using interesting chart or
figure. Figure 31 shows the display of information section.
a b
c Figure 31. Display of information section. Area of each desa a, broiler farm
population b, and broiler slaughterhouse location c
28
System Testing and Validation
System testing was done by comparing the output from system by expected output. Table 9 shows system testing result for some part of system. From the test,
it was concluded that the system has been tested and working properly. Table 9. System testing result
Part of system
Input Expected output
System output Justification
Desa selection
Desa Iwul Marker goes to
Desa Iwul Marker goes to
Desa Iwul OK
Detect location
by GPS User in Biotrop,
Campus. GPS button pressed
Marker goes to Biotrop Campus
Marker goes to Biotrop Campus
OK
Suitability based on
spatial input
Marker on settlement
Suitability: very unsuitable
Suitability: very unsuitable
OK Marker on
waterbody Suitability:
very unsuitable Suitability:
very unsuitable OK
Marker on coordinate:
-6.430047326 lat
106.72852440 lon
Based on suitability map:
unsuitable Suitability:
unsuitable OK
On field validation was already done by visiting the study area. There were four points each of which representing each class of suitability. The consideration
of point selection was that each point should be located in a contrast physical attributes land use, etc, so that the suitability will be different. Figure 32 shows
the location of each point of validation.
Figure 32. Survey points location for validation
29
Figure 33. On field validation for point 1 expected: very unsuitable Based on field survey, point 1 was located on a residential and close to
waterbody small river as shown in Figure 33. So it was predicted that the suitability of the point is very unsuitable or unsuitable.
Figure 34. System result based on coordinate of point 1 showing that location was very unsuitable
Based on system running, the same result was also obtained. The system categorized the location as very unsuitable, as shown in Figure 34. The reasoning
system also gave the same characteristic as seen on the field, such as the location was exactly on the residential area, location was too close to waterbody, and
location was on high risk of natural disaster.
Figure 35. On field validation for point 2 expected: unsuitable
