The Mechanism of Data Collection as Follows: Data Analysis Techniques

Proceedings of MatricesFor IITTEP – ICoMaNSEd 2015 ISBN: 978-602-74204-0-3 Biology Page 414 Description: = Transect size of 20 x 20 m, to measure the level of the tree = Transect size of 10 x 10 m, to measure the level of the pole = Transect size of 5 x 5 m, to measure the level of stakes = Transect size of 2 x 2 m, to measure the level of seedling

2.4. The Mechanism of Data Collection as Follows:

1 Identification of epiphytic plants attached to each type of mangrove and between existing plants in mangrove areas. If not in the know the name of the type of mangrove vegetation and epiphytic plants are also plants that are found between taking part twigs with leaves, flowers and fruit. The parts are then separated by type and set arranged into a bouffant and tied drained and each plant labeled statement; 2 Measure the diameter at breast height of trees by measuring tree rings, then calculated: Diameter = circumference of the tree 3:14; 3 Take a sample of the type of substrate mud, clay, sand, etc. in each plot plot is a composite; 4 Any data that has been collected and identified direct observations noted in the table tabulate.

2.5. Data Analysis Techniques

Theoretically, populations of the two species can interact. As a result of the interaction may be one of the species will lose, win or may not be affected or will be a balance. There be some kind of interaction between the two species population as listed in Table 4.1 below: Table 1. Types associated with the character of the population Interaction No. TIPE INTERAKSI SPESIESPOPULASI A B 1. 2. 3. 4. 5. 6. 7. 8. Neutralisme Kompetesi Amensalisme Parasitisme Predasi Komensalisme Protokooperasi Mutualisme - - + + + + + - - - + + Description: + = Species populations benefit - = Species populations get damages 0 = Species population does not earn a profit loss Proceedings of MatricesFor IITTEP – ICoMaNSEd 2015 ISBN: 978-602-74204-0-3 Biology Page 415 In the case of the determination of the interaction between these species should be noted that the presence or absence of a species can be affected by several factors, both in the form of biotic and abiotic factors, such as: 1. The presence or absence of a species depends on soil moisture levels. If the distribution of soil moisture levels in some places is random, then these species will also be scattered at random as well. 2. A dominant or predominant species codominant may be a factor affecting the growing absence of other species. 3. The Species are Obligate Parasites would not Grow in a Place if there is No Host Species. Measurement without measuring the degree of interaction interaction will also be determined, then the data is distributed randomly. However, if the degree of interaction will also be determined, then the data obtained must be derived from sample plots scattered randomly. Interactions between species can be determined based on whether there is a quantitative measurement of the species in sample plots. The presence or absence of species is determined by 2 x 2 contingency table Coefficient of associations close to 1 or -1 indicates that the association between mangrove species compared to the more powerful Annex 4, point A. Table 2 Species contingency Species A Total Present No present Species B Present A c a + c No present B d b + d Total a + b c + d n = a+b+c+d Before the calculated value of interaction, first made the following hypothesis: Ho = there is no interaction between species A and B Ha = no interaction between species A and B Interactions between the two species is determined by Chi-Square formula the following:   5 , | | 2 2 b a d b c a n bc ad n X       0.5 Value n is a continuity correction factor correction yate, it is necessary if the sample plots were made not much. Then the X2 count compared with the X2 table with α = 5 or 1 and degrees of freedom = 1. If X2 count X2 table then Ho is rejected, meaning that between the two species than there is real interaction whe n α = 5 or highly significant if α = 1. If X2 count X2 table then Ho diteirma, meaning between the two species than there is no interaction. If among these species there is real interaction or very real, so to determine the closeness of interaction the degree of interactions need to do further testing to determine the coefficient of interaction C with the formula: b a d c d b c a bc ad C       Interaction coefficient value close to 1 or -1 indicates that aosiasi among species than stronger. Interaction usually bigger will have a positive value when many sample plots were Proceedings of MatricesFor IITTEP – ICoMaNSEd 2015 ISBN: 978-602-74204-0-3 Biology Page 416 in a and d, otherwise the interaction has a negative value when many sample plots in the same b, whereas negative interactions illustrate that both species are antagonistic.

3. Result and Discussion