Metode Sampling Dan Analisis Data

8/19/2019 Metode Sampling Dan Analisis Data

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METODE SAMPLING

DANMETODE ANALISIS DATA


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METODE SAMPLING1. Sampel Ancient:

a. Singkapan (Outcrop):• Lintasan Terukur (Measure Section)• Pengambilan sampel dilakukan dengan interval 5 m – 10 m dengan

ukuran setiap sampel !00 gram

b. "nti b#r (Core)• Pengambilan sampel dilakukan dengan interval 5 cm – 10 cm

!. Sampel $esen:a.Sedimen Permukaan (Surface sample)b.Sedimen %a&a' Permukaan (Subsurface sample): interval ! cm – 5 cm


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CONTOH LOKASI PENGAMBILAN SAMPEL

ANCIENT


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CONTOH LOKASI PENGAMBILAN SAMPEL

ANCIENT


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CONTOH PENGUKURAN DAN

PENGAMBILAN SAMPEL ANCIENT


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PENGAMBILAN SAMPEL RESEN


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Ada ! met#de analisis aitu: *+T,-+ KUANTITATIF:

Indeks diversitas, Dominansi, Indeks α

Fisher, Triangular lot

*+T,-+ KUALITATIF


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PREPARASI SAMPEL UNTUK ANALISIS KUANTITATIF FORAMINIFERA PLANGTONIK

Equipment needed:

Statisticall rand#m micr#splitter /ridded picking tra ine sable paintbrus' (00 #r 000) Small p#t # demineralised &ater Assemblage slide (n#rmall &it' a black backgr#und and divided int# 2! #r 34 cells) -ilute gum s#luti#n. er 6nel diluted &allpaper paste rks als#. Stere#sc#pic bin#cular micr#sc#pe &it' incident lig't s#urce.

Paint t'e assemblage slide L"/7TL8 &it' t'e gum s#luti#n and all#& t# dr.Picin! T'e residue # t'e desired sieve racti#n (n#rmall 150300 micr#ns) is used t'r#ug' t'e micr#splitter asman times as needed t# bring t'e splitracti#n d#&n t# c#ntaining ab#ut !00 plankt#nic #raminieral

specimens. T'e splitter divides eac' run int# t e9ual 'alves. Appling t'e pr#cess n time"# t$e%e&'%e!i(e" ) "p*it equ)* t' t$e +,-.n &%)cti'n '& t$e '%i!in)* ")mp*e/ T$i" racti#n is ver imp#rtant inrecalculating assemblage numbers t# numbers per gramme t#tal sample dr&eig't and#r numbers pert#tal sample cc and#r in terms # ;u< per cm s9 per ear.

T'ere#re t'e splitracti#n needs t# be ver careull n#ted and splitting needs t# be ver careull

per#rmed.

T'e 6nal split racti#n is spread careull int# a gridded pickingtra and t'e plankt#nic #raminiera areselected and transerred t# t'e assemblage slide (s#metimes als# called ='apman slide) using t'e brus'(slig'tl m#isturised &it' t'e deminaralised &ater). "n t'e assemblage slide t'e species are determined

and separated int# assigned s9uares. >'en t'is is d#ne #r all specimens in t'e sample t'e can bec#unted.

" t'e #bserver is amiliar &it' all t'e species t'en it ma be ade9uate t# ?ust c#unt t'e numbers # eac' int'e pickingtra and dispense &it' t'e assemblage slide. T'e c#unted splitracti#n ma t'en ater

c#unting be returned t# an ade9uatel labelled st#rage vial.

D)t) $elative abundance @ # eac' species &it'in t'e t#tal c#unted

Abs#lute abundance per g # sediment #r per cm2 # sediment #r per cm s9 per ear (i t'e accummulati#n rate is kn#&n).


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PREPARASI SAMPEL UNTUK ANALISIS KUANTITATIF FORAMINIFERA BENTONIK KECIL

Equipment needed:

Gridded picking tray Fine sable paintbrush (00 or 000) Small pot of water Assemblage slide (normally with a black background and divided into ! cells) "ilute gum solution# Stereoscopic binocular microscope with incident light source# $aint the assemblage slide with the gum solution and allow to dry#

PickingFor samples with many spherical forms% it is desirable to use a sample splitter to divide up the sample# &his is more of a

problem for planktonic forms#

Quantitative studies

'ither the whole sample or a known weight must be picked#

Qualitative studies

&o obtain representative proportions at least !0 individuals should be picked#

Procedure rite the sample number on the assemblage slide# &ip the sample onto a piece of paper to form a small cone of

material# *se a spatula to take a small amount and carefully sprinkle it over the picking tray# $lace the picking tray under the

microscope and% starting in the top left corner% work systematically down the first column picking up the foraminifera with

the moistened brush and transfer them to the microscope slide# Sort into species and place them in separate cells#

+ecause the glue is water soluble% they will adhere# ,ontinue picking either until the whole sample or !0 individuals

have been picked#-f the observer is familiar with all the species% then it may be ade.uate to /ust count the numbers of each without mounting them on a slide# Data elative abundance 1 2 of each species# Absolute abundance 1 per gm of sediment or per cm of sediment#


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PREPARASI SAMPEL UNTUK ANALISIS KUANTITATIF

FORAMINIFERA Sumber: Proceeding of The Integrated Ocean Drilling Program IODP!

Foraminifer picking and identification were made on the 340 5m si6e fraction under a stereomicroscope# For pre1Albian

samples with smaller planktonic foraminifer test si6es and7or low1abundance benthic foraminifers% the 34! 5m fraction

was used# For samples with high foraminifer abundance% the sieved fraction was evenly spread on a gridded picking

tray% and both planktonic and benthic foraminifers were picked together from the grid transect (8!00 specimens)#

Further collection of benthic foraminifers was made on the entire picking tray#

&he following categories were used for description of both planktonic and benthic foraminifer abundance9

A : abundant (;44 specimens)# , : common (= specimens)# : rare (!= specimens)# & : trace (?4 specimens)#

&he preservation status of foraminifers was estimated as

@G : very good (no evidence of overgrowth% dissolution% or abrasion)#

G : good (little evidence of overgrowth% dissolution% or abrasion)# : moderate (common calcite overgrowth% dissolution% or abrasion)# $ : poor (substantial overgrowth or infilling% dissolution% or fragmentation)#


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METODE KUANTITATIF

Inde" Di(e%"it)" 0Ke)ne)%)!)m)n1:*et#de ini menggunakan ?umla' individu dan ?umla' spesies. umla' individu dari satu

sampel minimal 100 individu

D'min)n"i:Apabila ?umla' genusspesies B !0 paling sedikit !5@ dari seluru' ?umla' #raminiea g

ditemukan

Apabila ?umla' genusspesies C !0 paling sedikit 25@ dari seluru' ?umla' #raminiera

ang ditemukan

Inde" Fi"$e%

T%i)n!u*)% P*'t

R)"i' P*)n!t'ni,Bent'ni:P% D (PPE%)


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INDEKS FISHER


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Metode Sampling Dan Analisis Data