ERTEMUAN
KE-I
PENGENALAN
SPSS FOR WINDOWS DAN
MEMBANGUN DATA
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TUJUAN
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Mengenal SPSS for Windows
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Dapat memasukkan data
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Dapat melakukan penyuntingan data
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Dapat mentransformasikan data
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TEORI SINGKAT
Mengenal
SPSS for Windows
SPSS
merupakan software statistic yang pada awalnya digunakan untuk riset
di bidang social (SPSS saat itu singkatan dari Statistical Package
for Social Science). Selain dengan perkembangan SPSS digunakan untuk
melayani berbagai jenis user sehingga sekarang SPSS singkatan dari
Statistical Product and Service Solutions.
Penjelasan
Proses Statistik dengan SPPS:
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Data yang kan diproses dimasukkan lewat menu DATA EDITOR yang otomatis muncul dilayar saat SPPSdijalankan.
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Data yang diinputkan kemudian diproses, juga lewat menu DATA EDITOR.
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Hasil pengolahan data muncul di layar (window) yang lain dari SPSS, yaitu OUTPUT NAVIGATOR
Pada
menu Output Navigator , informasi dapat ditampilkan secara :
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Text atau Tulisan. Pengerjaan (perubahan bentuk huruf, penambahan,pengurangn dll) yang berhubungan dengan output berbentuk teks dapat dilakukan lewat menu Text Output Editor.
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Tabel. Pengerjaan (pivoting tabel, penambahan, pengurangan tabel, dll) yang berhubungan dengan output berbentuk tabel dapat dilakukan lewat menu Pivot TableEditor.
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Chart atau Grafik. Pengerjaan (perubahan tipe grafik dan lainnya) yang berhubungan dengan output berbentuk grafik dapat dilakukan lewat menu Chart Editor.
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PEMBAHASAN
Tampilan
layar data editor SPSS adalah sebagai berikut
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Variable view sebagai data editor untuk menampilkan variabel yang akan diisi untuk menentukan suatu data.
Variable
view terdiri dari beberapa tab yaitu:
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Name : untuk memasukkan nama variabel yang kita inginkan dengan cara double klick kemudian tuliskan nama variabelnya.
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Type : untuk menentukan tipe data dari nama variabel yang kita masukkan
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Width : untuk menentuk panjang datanya yaitu dari 1 sampai 225 digit
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Decimals : untuk menentukan jumlah angka desimal dari variabel tersebut
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Label : mengisikan keterangan dari variabel
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Value : untuk menentuka nilai variabelnya
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Missing : untuk mengisikan nilai yang hilang
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Column : untuk menentukan panjag datanya yaitu hampir sama dengan width.
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Alingn : untuk menentukan posisi datanya
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Measure : untuk mengukur panjang data.
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Data view adalah untuk menampilkan hasil dari variable view yang kita inputkan:
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Untuk lebih jelas maka kita mengisikan data sesuai dengan penjelasan diatas
Keterangan
:
Jk
adalah jenis kelamin dengan value 0 = laki-laki, 1 = perempuan
Berat
adalah berat badan dengan satuan kg
Tinggi
adalah tinggi badan dalam satuan cm
Setelah
itu simpan, untuk melihat hasil outputnya maka pilih menu analyze;
reports; case summaries untuk mentransform semua data ke variables
kemudian klik ok maka akan tampil output dari data yang kita
inputkan.
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Pengolahan data dengan menu transform :
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Berat badan ideal responden dengan ketentuan berat ideal = (tinggi –100)*0,9
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Menentukan prosentase kelebiahn berat badan responden yaitukelebihan = (berat-berat ideal)/berat*100
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Menentukan responden laki-laki yang over weight yaitu yang beratnya lebih dari berat ideal
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Memberikan tanda bagi responden yang kelebihan beratnya lebih dari 10% dengan tanda “diet” dari
pada
menu transform pada sub-menu compute variable seperti pada gambar
berikut
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Kotak Target variable : untuk mengisi nama variabelnya
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Kotak numeric expression : sebagai kotak untuk menetukan nilai dari variabel tersebut
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Tombol Type & Label : untuk menentukan nama label dan tipe label dari variabel tersebut
menu
transform pada sub-menu Count Occurrences of Values Within Cases
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Target Variables : untuk nama variabelnya
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Target labels : untuk nama labelnya
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Numeric variables : untuk nilai numeriknya
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Define Values : untuk menentukan nilainya
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If : sebagai kodisi pilihan untuk menentukan nilainya
Dengan
beberapa transfom yang digunakan maka hasilnya sebagai berikut:
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TUGAS
Split
data berdasarkan jenis kelaminnya:
PERTUMUAN
KE -2
GRAFIK
DAN TABEL
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Tujuan
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Dapat menyajikan data dalam bentuk grafik 2 dimensi dan 3 dimensi
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Dapat menyajikan data dalam bentuk tabel
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Dapat menyajikan data dalam bentuk OLAP Cubes
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Teori Singkat
Tabel
dan grafik berperan dalam pengorganisasian data, sehingga apabila
data
disajikan dalam bentuk grafik dan tabel akan menghasilkan informasi
yang
lebih bermanfaat untuk pengambilan keputusan.
SPSS
menyediakan menu untuk membuat berbagai macam grafik.
Penyajian
data dalam bentuk grafik ini dapat digunakan untuk melengkapi
analisis
data. Macam menu yang disediakan oleh SPSS diantaranya adalah
jenis
Bar, Pie, Line, Area dalam tampilan 3 dimensi. Sedangkan penyajian
data
dalam bentuk table berupa basic table, custom table dan
multiple
response.
SPSS juga menyediakan OLAP (Online Analytic Processing)
Cubes
yang dapat digunakan untuk data mining.
Grafik
Dua Dimensi
Pada
prinsipnya grafik yang dapat dibuat oleh SPSS bisa dibagi dalam tiga
bagian,
yaitu :
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Summaries for groups of cases : Grafik ini menyajikan data untuk tiap grup tertentu.
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Summaries of separate variables : Grafik ini menyajikan data untuk tiap grup tertentu.
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Value of individual cases : Grafik ini menyajikan data untuk tiap kasus secara individual
Grafik
2 dimensi adalah grafik dengan 2 sumbu yang mewakili 2 variabel,
yaitu
sumbu x dan y. Untuk menyajikan data dalam bentuk grafik 2 dimensi
maka
klik menu Graphs ; legacy Dialogs kemudian pilih grafik yang ingin
dibuat.
Grafik
Tiga Dimensi
Grafik
3 dimensi adalah grafik dengan 3 sumbu yang mewakili 3 variabel,
yaitu
sumbu x, y dan z. Untuk menyajikan data dalam bentuk
grafik 3
dimensi
maka klik menu Graphs ; Legacy Dialog; 3-D Bar.
Tabel
Penyajian
data dengan custom tabel dapat menyajikan data dalam bentuk
tabel
dengan nilai statistic (count, maximum, minimum, sum, median, dsb)
yang
diinginkan.
Perintah
Analyze; Tables; Custom Tables
OLAP
Cubes
OLAP
cubes digunakan untuk menampilkan data yang dikatagorikan
lebih
dari satu. Penyajian data bisa berupa nilai-nilai statistic.
Perintah
Analyze; Report; OLAP Cubes
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Pembahasan Praktikum
Dengan
modul praktikum misalkan kita membuat suatu tabel sebagai berikut
Maka
kita akan menyajikan dalam bentuk grafik dua dimensi sebagai berikut:
Untuk
membuat data dalam bentuk grafik maka pilih menu bar Grafics;
Legacy Dialogs lalu
pilih salah satu bentuk grafik misalkan Bar
maka
akan muncul dialognya sebagai berikut:
Kemudian
pilih salah satu bentuk grafiknya lalu klik define maka tampilan
berikut adalah gambar di sampinnya :
Untuk
sumbu x = gaji awal dan sumbu y = gaji akhir
Dan
grafik tiga dimensi juga sama dengan langkah-langkah pada penyajian
data dalam grafik dua dimensi yang hasilnya adalah sebagai berikut :
Untuk
membuat OLAP Clubes-nya maka melalui langkah-langkah sebagai berikut:
Klik
Analyze;
Reports; OLAP Cubes maka
akan tampil sebagai berikut
Kemudian
pindahkan gaji awal dan gaji akhir ke dalam kotak summary variable
dan jenis kelamin, pendidikan dan jabatan ke dalam kotak Grouping
lalu klik Ok maka hasilnya adalah sebagai berikut :
Membuat
custom tabelnya maka klik Analyze;
Table; kemudian
klik ok
maka
akan tampil sebagai berikut lalu seret semua data ke dalam kolom dan
baris :
Maka
hasilnya sebagai berikut:
IV. Latihan
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)
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)
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)
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)
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)
V. Kesimpulan
Sesuai dengan praktikum, maka dapat dikesimpulan bahwa dalam penyajian data menggunakan SPSS, lebih mudah menggunakan tabel dan grafik serta berperan dalam pengorganisasian data, sehingga apabila data disajikan dalam bentuk grafik dan tabel akan menghasilkan informasi yang lebih jelas dan bermanfaat untuk pengambilan keputusan.
V. Kesimpulan
Sesuai dengan praktikum, maka dapat dikesimpulan bahwa dalam penyajian data menggunakan SPSS, lebih mudah menggunakan tabel dan grafik serta berperan dalam pengorganisasian data, sehingga apabila data disajikan dalam bentuk grafik dan tabel akan menghasilkan informasi yang lebih jelas dan bermanfaat untuk pengambilan keputusan.
mantap
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