Dina Juliana Deby Hermawan Prichayatun

101 Dina Juliana , lahir di Jakarta, pada tanggal 23 Desember 1982. Dina Juliana menempuh pendidikan sekolah dasar di SDN 03 Jakarta, SLTPN 69 Jakarta, dan SMUN 16 Jakarta. Kemudian setelah lulus Sekolah Menengah Umum (SMU) ia melanjutkan pendidikan di Universitas Bina Nusantara pada tahun 2000 dengan mengambil jurusan Sistem Komputer. Dina Juliana bersama keluarga bertempat tinggal di Jl. Tg. Duren Timur Raya No. 1, RT. 03/05, Jakarta Barat dan dapat dihubungi lewat e-mail [email protected] atau pada line telepon (021) 56964996.

Deby Hermawan, lahir di Cirebon, Jawa Barat, pada tanggal 10 November 1982. Deby Hermawan menempuh pendidikan sekolah dasar di SDN 03 Jakarta, SLTPN 122 Jakarta, dan SMUN 84 Jakarta. Kemudian setelah lulus Sekolah Menengah Umum (SMU) ia melanjutkan pendidikan di Universitas Bina Nusantara pada tahun 2000 dengan mengambil jurusan Sistem Komputer. Deby Hermawan bersama keluarga bertempat tinggal di Jl. Kapuk Kebon Jahe No. 15 RT. 03/06, Jakarta Barat dan dapat dihubungi lewat e-mail [email protected] atau pada line telepon (021) 9188916.

Prichayatun, lahir di Tegal, Jawa Tengah, pada tanggal 27 Oktober 1980. Ia menempuh pendidikan sekolah dasar di SDN Margadana IV Tegal, SLTPN 7 Tegal, dan SMUN 2 Tegal. Didorong keinginannya dalam melanjutkan pendidikan maka setelah lulus Sekolah Menengah Umum (SMU) ia pun melanjutkan pendidikan di Universitas Bina Nusantara pada tahun 2000 dengan mengambil jurusan Sistem Komputer. Prichayatun bersama keluarga bertempat tinggal di Jl. Limo Raya No. 15 RT. 01/01 Depok, Bogor dan dapat dihubungi lewat e-mail [email protected] atau pada line telepon (021) 7535116.

L1

KUISIONER PENGARUH SISTEM KOMPUTER TERHADAP PRODUKTIFITAS SISTEM ENTERPRISE RESOURCE PLANNING PADA PT. ADHISAKTI SOLUSI KOMPUTINDO

Sebelumnya kami mengucapkan terima kasih kepada saudara/i yang telah bersedia meluangkan waktunya untuk mengisi kuisioner ini. Adapun tujuan kuisioner ini adalah untuk memperoleh data-data guna keperluan skripsi kami dalam mencari pengaruh sistem komputer terhadap produktifitas sistem ERP yang berjalan pada perusahaan saat ini. Untuk itu, kami mohon saudara/i memberikan jawaban yang sebenarnya guna keakuratan data. Atas partisipasinya dalam pengisian dan pengembalian kuisioner ini, kami ucapkan terima kasih.

IDENTITAS ANDA Pertanyaan 1.

Jenis kelamin anda? a. Pria b. Wanita

2.

Berapa usia anda? a. 21-30 b. 31-40

Jawaban(a/b/c/d)

c. 41-50

3.

Berapa lama anda bekerja? a. < 1 tahun b. 1 s/d 5 tahun c. > 5 tahun

4.

Latar Belakang Pendidikan Anda ? a. SMA/sederajat b. D1 c. D3

d. > 50

d. S1

Untuk pertanyaan berikut, pada kolom jawaban(a/b/c/d), jawaban ditulis sesuai dengan bagian tempat anda bekerja! 5. Anda bekerja pada bagian ?

L2 KUISIONER PRODUKTIFITAS SISTEM ERP Kuisioner ini bertujuan untuk mengetahui produktifitas sistem ERP

Berilah Nilai Untuk Tiap Pertanyaan Di Bawah Ini Sebagai Berikut : STS = Sangat Tidak Setuju TS = Tidak Setuju CS = Cukup Setuju S = Setuju SS = Sangat Setuju Pertanyaan (Performance) 1.

Pertanyaan Sistem ERP efektif dalam menyelesaikan pekerjaan anda

Jawaban

2. Error/gangguan (hang, virus, data crash, dsb) tidak sering terjadi pada sistem ERP

Pertanyaan (Ketepatan Waktu) Pertanyaan 1. Dengan menggunakan sistem ERP, pekerjaan anda dapat diselesaikan sesuai jadwal yang ditentukan

Jawaban

2. Penggunaan Sistem ERP dapat menghemat waktu anda dalam mencari data yang dibutuhkan

Pertanyaan (Komunikasi) Pertanyaan 1. Selama menggunakan sistem ERP ini, hubungan komunikasi yang terjadi antara anda dan bagian/divisi lain sudah baik 2. Sistem ERP berperan baik dalam mendukung komunikasi data 3. Error/gangguan tidak sering terjadi dalam melakukan transfer data

Jawaban

L3 Pertanyaan (Kualitas Informasi) Pertanyaan 1. Pengambilan keputusan dari data yang dihasilkan melalui sistem ERP ini sudah baik

Jawaban

Pertanyaan (kualitas layanan secara keseluruhan) Pertanyaan 1. Perangkat Lunak ERP efisien dalam melayani kebutuhan data 2. Dengan adanya sistem ERP tersebut, anda dapat memberikan kualitas pelayanan yang lebih baik

Jawaban

L4 KUISIONER 5 KOMPONEN SISTEM KOMPUTER Kuisioner ini bertujuan untuk mengetahui 5 komponen pada Sistem Komputer

Berilah Jawaban Untuk Tiap Pertanyaan Di Bawah Ini Sebagai Berikut : TS = Tidak Setuju KS = Kurang Setuju CS = Cukup Setuju S = Setuju SS = Sangat Setuju Hardware Pertanyaan 1. Kecepatan memproses data dalam sistem ERP tersebut sudah cepat

Jawaban

2. Tampilan (Grafik) dari Perangkat Lunak ERP sudah baik

Software Pertanyaan 1. Sistem Operasi (SO) yang terdapat pada komputer anda mendukung sistem ERP

Jawaban

2. Tampilan Perangkat Lunak ERP mudah dimengerti 3. Fasilitas yang ada pada Perangkat Lunak ERP memuaskan

Brainware (User) Pertanyaan 1. Perangkat Lunak ERP mempercepat penyelesaian pekerjaan 2. Anda dapat memperbaiki sendiri jika ada gangguan kecil pada Perangkat Lunak ERP 3. Perangkat Lunak ERP mudah digunakan oleh anda

Jawaban

L5 Informasi Pertanyaan 1. Informasi yang dihasilkan Perangkat Lunak ERP lengkap

Jawaban

Informasi yang dihasilkan Perangkat Lunak ERP dapat dipercaya (reliable) 3. Informasi yang dihasilkan disajikan tepat waktu dengan menggunakan Perangkat Lunak ERP 4. Informasi yang dihasilkan Perangkat Lunak ERP akurat/tepat 5. Informasi yang dihasilkan Perangkat Lunak ERP mudah dimengerti 6. Informasi yang dihasilkan selalu up-to-date/sesuai dengan keadaan sekarang?

Prosedur Pertanyaan 1. Sistem ERP dapat dioperasikan dengan mudah 2. Pembackupan data sering dilakukan oleh bagian IT 3. Bagian IT cepat menangani bila terdapat gangguan pada sistem ERP 4. Jaminan keamanan data dalam sistem ERP ini baik 5. Bagian IT cepat tanggap dalam mengatasi kebutuhan anda 6. Maintenance (perawatan) terhadap komputer dan peralatan pendukungnya sering dilakukan oleh bagian IT

Jawaban

L6 Data Kuisioner Identitas Diri Identitas Diri No

Jenis Kelamin

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

p p p p p p p p p p p p p p p p p p p p p w w w w w w w w w w w w w w w w w w w

Usia 21 - 30 21 - 30 21 - 30 21 - 30 21 - 30 21 - 30 21 - 30 21 - 30 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 41 - 50 41 - 50 41 - 50 21 - 30 21 - 30 21 - 30 21 - 30 21 - 30 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 31 - 40 41 - 50 41 - 50

Ket : p = pria w = wanita

Lama Bekerja > 5 tahun 1 - 5 tahun > 5 tahun 1 - 5 tahun 1 - 5 tahun 1 - 5 tahun 1 - 5 tahun 1 - 5 tahun > 5 tahun > 5 tahun 1 - 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun 1 - 5 tahun > 5 tahun 1 - 5 tahun > 5 tahun 1 - 5 tahun 1 - 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun > 5 tahun

Latar Belakang Pendidikan D1 D1 D3 S1 S1 S1 S1 S1 D3 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 D3 D3 S1 S1 S1 D3 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1 S1

Pekerjaan Inventory Delivery sales Acc sales purchasing service service GA Acc service finance finance purchasing service service GA finance dewan direksi dewan direksi dewan direksi Inventory Delivery sales finance Acc finance finance Acc sales sales purchasing Acc purchasing purchasing service service GA dewan direksi dewan direksi

L7 Data Kuisioner Produktifitas Performansi p1

p2 5 4 5 5 5 5 2 1 5 2 2 1 2 4 5 4 4 4 4 3 4 5 5 3 1 4 3 3 4 4 2 1 5 3 5 5 5 4 5 4

Ketepatan Waktu p3

5 4 5 5 5 5 1 2 5 2 1 2 2 4 5 4 3 3 3 4 3 5 5 4 2 5 4 3 4 3 2 1 5 4 5 5 5 4 5 3

p4 5 1 5 5 4 4 3 3 3 2 3 3 2 4 4 2 3 4 3 4 5 3 5 4 2 4 3 3 4 5 2 3 2 5 3 4 3 3 3 4

4 3 4 5 5 4 3 3 3 2 3 3 2 3 5 3 3 4 4 3 5 2 4 4 4 4 2 4 3 5 2 3 3 5 3 4 3 4 3 4

Kualitas Informasi

Komunikasi p5 3 4 3 5 3 4 3 3 5 3 3 3 1 3 4 3 3 3 4 4 3 3 4 3 3 3 3 4 3 3 3 3 3 5 4 4 4 5 4 3

p6 5 3 5 4 5 4 3 3 4 3 3 3 3 5 5 4 4 3 4 4 4 2 5 3 4 3 2 2 3 4 3 4 2 4 5 3 3 5 4 4

p7 4 3 4 5 4 4 3 3 4 3 3 3 3 4 3 3 4 3 2 2 3 3 3 3 4 3 3 3 3 3 3 4 3 4 4 4 5 2 4 3

p8 3 3 3 4 3 4 5 5 5 3 5 5 1 4 3 4 4 3 4 4 3 5 3 3 4 3 2 3 3 3 3 4 3 5 5 5 5 4 5 4

Kualitas Layanan p9

p10

3 4 3 4 3 5 5 5 5 3 5 4 1 5 3 5 4 3 4 4 4 3 3 3 5 3 3 3 3 3 3 5 2 5 5 4 5 4 5 5

3 3 3 5 3 5 4 4 5 4 4 5 1 4 3 5 3 3 4 4 5 4 3 3 5 3 3 4 4 3 4 5 3 5 5 4 5 5 5 5

L8 Data Kuisioner Komponen Sistem Komputer HW

SW

BW

Informasi

Prosedur

s1

s2

s3

s4

s5

s6

s7

s8

s9

s10

s11

s12

s13

s14

s15

s16

s17

s18

s19

s20

2 3 1 5 2 1 2 5 4 2 3 2 1 2 3 3 2 3 2 1 3 3 5 2 2 2 2 3 1 3 2 3 3 2 2 5 1 2 3 1

4 3 4 5 2 5 4 5 4 2 3 2 1 4 4 4 4 4 4 4 4 3 5 4 4 2 2 3 4 3 2 4 4 5 5 5 4 4 3 4

5 4 4 5 3 4 3 3 5 3 3 3 4 4 4 5 3 4 3 2 5 4 5 3 4 4 3 3 3 3 3 4 2 4 3 3 4 4 5 4

3 3 3 5 4 4 2 2 5 4 3 4 3 3 5 5 4 4 4 3 5 4 4 3 4 4 3 4 4 5 4 4 3 5 3 3 4 4 4 5

3 4 3 5 3 4 3 3 5 3 4 3 1 3 4 3 3 3 4 3 3 3 3 3 3 3 3 4 3 5 3 3 3 5 4 4 4 5 5 5

1 1 1 5 3 4 3 3 5 3 3 3 2 2 2 5 3 2 3 2 5 1 2 3 2 4 2 2 2 2 2 1 2 1 3 3 4 3 1 2

4 4 3 4 4 4 2 2 5 3 3 4 4 3 4 3 4 3 4 4 3 4 3 3 3 3 3 3 3 4 3 3 3 5 4 5 5 5 5 4

3 3 3 4 4 4 3 5 5 3 4 4 1 3 5 3 4 3 4 4 3 4 3 4 3 3 2 3 3 4 3 3 2 5 5 5 5 3 5 4

3 4 4 3 4 4 3 3 5 3 5 4 4 3 5 3 4 3 4 3 3 5 3 3 3 3 3 3 3 5 3 3 3 5 5 4 5 3 4 5

3 3 4 4 3 4 3 3 5 4 5 4 3 4 5 3 3 3 4 4 3 5 3 4 3 3 3 4 3 4 3 3 3 5 5 4 5 5 4 5

3 4 3 4 3 4 3 4 4 3 5 3 2 3 5 3 3 3 4 3 3 4 3 4 3 3 3 4 3 5 3 3 3 5 5 5 4 5 5 5

4 3 5 4 5 4 3 4 4 3 5 4 3 4 4 5 4 4 4 5 5 4 5 3 4 4 3 5 3 4 1 4 4 5 5 5 4 5 5 5

5 4 4 4 3 4 3 3 5 3 3 3 3 3 4 5 4 3 4 5 4 4 4 3 4 4 3 4 3 5 2 5 4 5 5 5 5 5 5 4

5 3 4 4 3 4 3 3 3 3 3 3 2 4 4 4 4 3 4 4 3 4 5 4 4 4 3 4 3 4 3 3 4 4 5 4 5 4 5 4

5 4 4 5 3 5 5 5 5 3 4 3 1 5 4 4 4 4 4 4 4 4 4 4 3 5 4 3 4 1 4 4 4 4 5 3 5 3 5 5

2 1 3 5 2 5 4 5 4 2 1 2 1 4 2 2 2 2 2 4 2 3 4 2 3 5 1 3 4 3 2 1 1 1 5 5 4 5 4 4

5 3 4 5 1 5 5 5 5 1 3 1 1 5 4 4 4 4 4 4 5 5 4 3 4 5 3 4 3 1 3 5 5 5 5 5 5 5 5 5

3 3 3 5 3 5 3 5 3 3 3 3 1 3 3 3 3 3 3 4 5 3 4 3 3 5 3 3 5 2 3 3 3 3 5 4 5 4 5 5

3 4 3 5 2 5 3 5 3 2 4 2 1 3 3 3 3 3 3 3 5 3 3 3 3 5 4 3 3 5 3 3 3 3 5 5 5 5 5 5

2 3 4 5 1 1 4 5 4 1 3 1 1 2 2 2 1 2 1 2 2 4 2 1 4 5 3 4 3 2 1 2 2 3 5 2 4 5 3 1

L9 Hasil Pengujian Validitas Kuisioner Produktifitas P1 P1

Pearson Correlation Sig. 2-tailed N

P2


P3


P4


P5


P6


P7


P8


P9


P10


TOTAL Pearson Correlation Sig. 2-tailed N

P2 1 ,885**

P3

P4

P5

,396*

,347* ,403**

P6

P7

P8

P9

P10

TOTAL

,340*

,287

-,005

-,110

-,053

,660**

.

,000

,011

,028

,010

,032

,073

,976

,498

,747

,000

40

40

40

40

40

40

40

40

40

40

40

,885**

1

,364*

,288 ,458**

,282

,319*

-,005

-,131

-,033

,647**

,000

.

,021

,072

,003

,078

,045

,976

,421

,839

,000

40

40

40

40

40

40

40

40

40

40

40

,396*

,364*

1 ,697**

,215 ,456**

,214

-,019

-,035

-,004

,568**

,011

,021

.

,000

,183

,003

,184

,908

,830

,981

,000

40

40

40

40

40

40

40

40

40

40

40

,288 ,697**

1

,381* ,492**

,162

-,029

,055

,089

,584**

,347* ,028

,072

,000

.

,015

,001

,319

,860

,735

,587

,000

40

40

40

40

40

40

40

40

40

40

40

,403** ,458**

,215

,381*

1

,283

,190 ,477** ,433** ,543**

,731**

,010

,003

,183

,015

.

,076

,240

,002

,005

,000

,000

40

40

40

40

40

40

40

40

40

40

40

,282 ,456** ,492**

,283

1

,235

,071

,268

,154

,600**

,032

,078

,003

,001

,076

.

,145

,663

,094

,344

,000

40

40

40

40

40

40

40

40

40

40

40

,287

,319*

,214

,162

,190

,235

1

,280

,325*

,256

,523**

,073

,045

,184

,319

,240

,145

.

,080

,041

,111

,001

40

40

40

40

40

40

40

40

40

40

40

-,005

-,005

-,019

-,029 ,477**

,071

,280

1 ,802** ,722**

,519**

,976

,976

,908

,860

,002

,663

,080

.

,000

,000

,001

40

40

40

40

40

40

40

40

40

40

40

-,110

-,131

-,035

,055 ,433**

,268

1 ,799**

,521**

,498

,421

,830

,735

,005

,094

,041

,000

.

,000

,001

40

40

40

40

40

40

40

40

40

40

40

-,053

-,033

-,004

,089 ,543**

,154

,256 ,722** ,799**

1

,540**

,747

,839

,981

,587

,000

,344

,111

,000

,000

.

,000

40

40

40

40

40

40

40

40

40

40

40

,660** ,647** ,568** ,584** ,731** ,600** ,523** ,519** ,521** ,540**

1

,340*

,325* ,802**

,000

,000

,000

,000

,000

,000

,001

,001

,001

,000

.

40

40

40

40

40

40

40

40

40

40

40

L10

L11

L12

L13 Hasil Pengujian Reliabilitas Kuisioner Produktifitas Correlations

GANJIL GANJIL

Pearson Correlation Sig. (2-tailed) N

GENAP

Pearson Correlation Sig. (2-tailed)

GENAP 1

,897**

.

,000

40

40

,897**

1

,000

.

N

40 ** Correlation is significant at the 0.01 level (2-tailed).

40

Hasil Pengujian Reliabilitas Kuisioner Sistem Komputer Correlations

GANJIL GANJIL


GENAP


GENAP 1

,797**

.

,000

40

40

,797**

1

,000

.

40

40

** Correlation is significant at the 0.01 level (2-tailed).

L14 Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Performansi Correlations

hardware hardware

Pearson Correlation Sig. 2-tailed

software

brainware

informasi

prosedur

performansi

1

,317*

,329*

,322*

,492**

,249

.

,046

,038

,043

,001

,122

40

40

40

40

40

40

,317*

1

,532**

,563**

,320*

,387*

,046

.

,000

,000

,044

,014

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,381*

,038

,000

.

,000

,008

,015

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,485**

,043

,000

,000

.

,007

,002

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,383*

,001

,044

,008

,007

.

,015

40

40

40

40

40

40

,249

,387*

,381*

,485**

,383*

1

,122

,014

,015

,002

,015

.

40 40 * Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).

40

40

40

40

N software


brainware


informasi


prosedur


performansi


L15 Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Ketepatan Waktu Correlations

hardware hardware


software

brainware

informasi

prosedur

ketepatan waktu

1

,317*

,329*

,322*

,492**

,354*

.

,046

,038

,043

,001

,025

40

40

40

40

40

40

,317*

1

,532**

,563**

,320*

,437**

,046

.

,000

,000

,044

,005

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,256

,038

,000

.

,000

,008

,111

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,362*

,043

,000

,000

.

,007

,022

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,224

,001

,044

,008

,007

.

,164

40

40

40

40

40

40

,354*

,437**

,256

,362*

,224

1

,025

,005

,111

,022

,164

.


40

40

40

40

N software


brainware


informasi


prosedur


ketepatan waktu


L16 Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Komunikasi Correlations

hardware hardware


software

brainware

informasi

prosedur

komunikasi

1

,317*

,329*

,322*

,492**

,439**

.

,046

,038

,043

,001

,005

40

40

40

40

40

40

,317*

1

,532**

,563**

,320*

,609**

,046

.

,000

,000

,044

,000

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,545**

,038

,000

.

,000

,008

,000

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,572**

,043

,000

,000

.

,007

,000

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,441**

,001

,044

,008

,007

.

,004

40

40

40

40

40

40

,439**

,609**

,545**

,572**

,441**

1

,005

,000

,000

,000

,004

.


40

40

40

40

N software


brainware


informasi


prosedur


komunikasi


L17 Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Kualitas Informasi Correlations

hardware hardware


software


brainware


informasi


prosedur


kualitas informasi


software

brainware

informasi

kualitas informasi

prosedur

1

,317*

,329*

,322*

,492**

,420**

.

,046

,038

,043

,001

,007

40

40

40

40

40

40

,317*

1

,532**

,563**

,320*

,230

,046

.

,000

,000

,044

,154

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,577**

,038

,000

.

,000

,008

,000

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,550**

,043

,000

,000

.

,007

,000

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,523**

,001

,044

,008

,007

.

,001

40

40

40

40

40

40

,420**

,230

,577**

,550**

,523**

1

,007

,154

,000

,000

,001

.

40

40

40

40

40

40

* Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).

L18

Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Kualitas Layanan Correlations

hardware hardware


software

brainware

informasi

kualitas layanan

prosedur

1

,317*

,329*

,322*

,492**

,341*

.

,046

,038

,043

,001

,031

40

40

40

40

40

40

,317*

1

,532**

,563**

,320*

,450**

,046

.

,000

,000

,044

,004

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,524**

,038

,000

.

,000

,008

,001

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,445**

,043

,000

,000

.

,007

,004

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,560**

,001

,044

,008

,007

.

,000

40

40

40

40

40

40

,341*

,450**

,524**

,445**

,560**

1

,031

,004

,001

,004

,000

.


40

40

40

40

N software


brainware


informasi


prosedur


kualitas layanan


L19 Hasil Pengujian Korelasi antara Komponen Sistem Komputer dengan Produktifitas Correlations

hardware hardware

Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed

1

,317*

,329*

,322*

,492**

,539**

,038

,043

,001

,000

40

40

40

40

,317*

1

,532**

,563**

,320*

,630**

,046

.

,000

,000

,044

,000

40

40

40

40

40

40

,329*

,532**

1

,597**

,412**

,697**

,038

,000

.

,000

,008

,000

40

40

40

40

40

40

,322*

,563**

,597**

1

,417**

,745**

,043

,000

,000

.

,007

,000

40

40

40

40

40

40

,492**

,320*

,412**

,417**

1

,662**

,001

,044

,008

,007

.

,000

40

40

40

40

40

40

,539**

,630**

,697**

,745**

,662**

1

,000

,000

,000

,000

,000

.

40

40

40

40

40

40

N produktifitas

N

* Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).

Hasil Pengujian Korelasi antara rata-rata Sistem Komputer dengan rata-rata Produktifitas Correlations sistem komputer sistem komputer

Pearson Correlation

1

produktifitas ,880**

Sig. (2-tailed)

.

,000

40

40

,880**

1

N produktifitas

produktifitas

40

N prosedur

prosedur

,046

N informasi

informasi

.

N brainware

brainware

40

N software

software


** Correlation is significant at the 0.01 level (2-tailed).

,000

.

40

40

L20 Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Performansi Variables Entered/Removed(b) Model 1

Variables Entered

Variables Removed

prosedur, software, hardware, brainware, informasi(a)

.

Enter

hardware brainware software prosedur

Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100).

2 . 3 . 4 . 5 . a All requested variables entered. b Dependent Variable: performansi

Method

Model Summary(f) Model 1

R ,538(a)

R Square ,290

Adjusted R Square ,186

Std. Error of the Estimate 1,17203

2

,538(b)

,290

,209

1,15517

3

,537(c)

,288

,229

1,14036

4

,524(d)

,275

,235

1,13557

5

,485(e)

,235

,215

1,15075

Durbin-Watson

1,695

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), prosedur, software, brainware, informasi c Predictors: (Constant), prosedur, software, informasi d Predictors: (Constant), prosedur, informasi e Predictors: (Constant), informasi f Dependent Variable: performansi

ANOVA(f) Model 1

2

3

4

5

5

Mean Square 3,814

Residual

46,704

34

1,374

Total

65,775

39

Regression

19,070

4

4,768

Residual

46,705

35

1,334

Total

65,775

39

Regression

18,960

3

6,320

Residual

46,815

36

1,300

Total

65,775

39

Regression

18,062

2

9,031

Residual

47,713

37

1,290

Total

65,775

39

Regression

15,454

1

15,454

Residual

50,321

38

1,324

Total

65,775

39

Regression

Sum of Squares 19,071

df

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), prosedur, software, brainware, informasi c Predictors: (Constant), prosedur, software, informasi d Predictors: (Constant), prosedur, informasi e Predictors: (Constant), informasi f Dependent Variable: performansi

F 2,777

Sig. ,033(a)

3,573

,015(b)

4,860

,006(c)

7,004

,003(d)

11,670

,002(e)

L21 Coefficients(a) Unstandardized Coefficients

Model

1

2

(Constant)

B -1,003

Std. Error 1,316

hardware

-,004

,251

-,003

software

,258

,372

,128

brainware

,104

,368

,055

informasi

,643

,424

,299

prosedur

,277

,250

,196

-1,005 ,257 ,104

1,289 ,364 ,362

,128 ,054

informasi

,642

,418

,299

prosedur

,275

,227

,195

(Constant)

-,986

1,270

software

,286 ,687 ,288 -,613 ,845

,345 ,383 ,220 1,184 ,331

,142 ,319 ,204

,309

,217

,219

-,305 1,042

1,179 ,305

,485

(Constant) software brainware

3

informasi prosedur 4

(Constant) informasi prosedur

5

Standardized Coefficients

(Constant) informasi

a Dependent Variable: performansi

Beta

,393

L22 Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Ketepatan Waktu Variables Entered/Removed(b) Model 1

2 3 4 5

Variables Entered prosedur, software, hardware, brainware, informasi(a) . . . .

Variables Removed

Method

.

Enter

prosedur brainware informasi hardware

Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100).

a All requested variables entered. b Dependent Variable: ketepatan waktu

Model Summary(f) Model 1

R ,507(a)

R Square ,257


Std. Error of the Estimate ,82538

2

,507(b)

,257

,172

,81389

3

,503(c)

,253

,190

,80476

4

,492(d)

,242

,201

,79924

5

,437(e)

,191

,169

,81507

Durbin-Watson

2,116

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), software, hardware, brainware, informasi c Predictors: (Constant), software, hardware, informasi d Predictors: (Constant), software, hardware e Predictors: (Constant), software f Dependent Variable: ketepatan waktu

ANOVA(f) Model 1

Regression Residual Total

2

3

4

5

Sum of Squares 8,031 23,162

df 5 34

Mean Square 1,606 ,681

F 2,358

Sig. ,061(a)

3,023

,031(b)

4,055

,014(c)

5,916

,006(d)

8,954

,005(e)

31,194

39

8,009

4

2,002

Residual

23,185

35

,662

Total

31,194

39

Regression

Regression

7,879

3

2,626

Residual

23,315

36

,648

Total

31,194

39

Regression

7,559

2

3,779

Residual

23,635

37

,639

Total

31,194

39

Regression

5,949

1

5,949

Residual

25,245

38

,664

Total

31,194

39

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), software, hardware, brainware, informasi c Predictors: (Constant), software, hardware, informasi d Predictors: (Constant), software, hardware e Predictors: (Constant), software f Dependent Variable: ketepatan waktu


Model

B 1

2

3

4

5


(Constant)

,596

Std. Error ,927

hardware

Beta

,246

,177

software

,443

,262

,320

brainware

-,104

,259

-,079

informasi

,246

,299

,166

prosedur

-,032

,176

-,033

(Constant)

,586

,912

hardware

,233

,161

,229

software

,443

,258

,320

brainware

-,112

,252

-,085

informasi

,290 ,900 ,157

,160

(Constant) hardware

,236 ,563 ,224

software

,412

,245

,297

informasi

,184 ,881 ,244 ,500 1,241

,262 ,773 ,154 ,209 ,753

,125

,606

,202

,437

(Constant) hardware software (Constant) software

a Dependent Variable: ketepatan waktu

,241

,220

,240 ,361

L24 Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Komunikasi Variables Entered/Removed(b)

Model 1

Variables Entered

Variables Removed


Method

.

Enter

2 . prosedur 3 . brainware a All requested variables entered. b Dependent Variable: komunikasi

Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100).

Model Summary(d)

Model 1

R ,720(a)

R Square ,518



2

,714(b)

,510

,454

,41686

DurbinWatson

3 a b c d

,702(c) ,493 ,451 ,41805 1,689 Predictors: (Constant), prosedur, software, hardware, brainware, informasi Predictors: (Constant), software, hardware, brainware, informasi Predictors: (Constant), software, hardware, informasi Dependent Variable: komunikasi ANOVA(d)

Model 1


2

5

Mean Square 1,285

5,986

34

,176

12,414

39

6,332

4

1,583

Residual

6,082

35

,174

12,414

39

6,122

3

2,041

6,292

36

,175

12,414

39


a b c d

df

Regression Total

3

Sum of Square s 6,427

F 7,301

Sig. ,000(a)

9,109

,000(b)

11,676

,000(c)

Predictors: (Constant), prosedur, software, hardware, brainware, informasi Predictors: (Constant), software, hardware, brainware, informasi Predictors: (Constant), software, hardware, informasi Dependent Variable: komunikasi


Model


(Constant)

B ,746

Std. Error ,471

hardware

,108

,090

,168

software

,288

,133

,329

brainware

,126

,132

,152

informasi

,184

,152

,197

prosedur

,066

,090

,108

(Constant)

,768

,467

hardware

,134

,082

,209

software

,288

,132

,329

brainware

,142

,129

,171

informasi

,149 ,468 ,082

,218

(Constant) hardware

,203 ,797 ,146

software

,328

,128

,375

,269 a Dependent Variable: komunikasi

,136

,288

1

2

3

informasi

Beta

,228

L26 Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Kualitas Informasi Variables Entered/Removed(b) Model 1

Variables Entered

Variables Removed


2 . a All requested variables entered. b Dependent Variable: kualitas informasi

Method

.

Enter

hardware

Backward (criterion: Probability of F-to-remove >= ,100).

Model Summary(c) Model 1

R ,728(a)

R Square ,529



Durbin-Watson

2

,715(b) ,511 ,455 ,72415 a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), prosedur, software, brainware, informasi c Dependent Variable: kualitas informasi

2,250

ANOVA(c) Model 1

2

Regression


df 5


Residual

17,648

34

Total

37,500

39

Regression

19,146

4

4,787

Residual

18,354

35

,524

Total

37,500

39

F 7,649

Sig. ,000(a)

9,128

,000(b)

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Predictors: (Constant), prosedur, software, brainware, informasi c Dependent Variable: kualitas informasi Coefficients(a)

Model 1

2

(Constant)

Unstandardized Coefficients B Std. Error ,075 ,809

Standardized Coefficients Beta

hardware

,180

,154

,161

software

-,437

,228

-,287

brainware

,546

,226

,379

informasi

,540

,261

,333

prosedur

,257

,154

,241

software brainware

,180 -,405 ,562

,808 ,228 ,227

-,266 ,390

informasi

,550

,262

,339

prosedur

,326

,142

,307

(Constant)

a Dependent Variable: kualitas informasi

L27

Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Kualitas Layanan Variables Entered/Removed(b)

Model 1

Variables Entered

Variables Removed


Method

.

Enter

2 . hardware 3 . informasi 4 . software a All requested variables entered. b Dependent Variable: kualitas layanan

Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100). Backward (criterion: Probability of F-to-remove >= ,100).

Model Summary(e) Model 1

R ,665(a)

R Square ,442



2

,665(b)

,442

,378

,74277

3

,664(c)

,441

,395

,73286

4 a b c d e

,646(d) ,417 ,386 Predictors: (Constant), prosedur, software, hardware, brainware, informasi Predictors: (Constant), prosedur, software, brainware, informasi Predictors: (Constant), prosedur, software, brainware Predictors: (Constant), prosedur, brainware Dependent Variable: kualitas layanan

,73819

Durbin-Watson

2,602

ANOVA(e)

Model 1

2

3

4

Regression

df 5


Residual

19,310

34

Total

34,600

39

Regression

15,290

4

3,823

Residual

19,310

35

,552

Total

34,600

39

Regression

15,265

3

5,088

Residual

19,335

36

,537

Total

34,600

39

Regression

14,438

2

7,219

Residual

20,162

37

,545

Total

a b c d e


34,600 39 Predictors: (Constant), prosedur, software, hardware, brainware, informasi Predictors: (Constant), prosedur, software, brainware, informasi Predictors: (Constant), prosedur, software, brainware Predictors: (Constant), prosedur, brainware Dependent Variable: kualitas layanan

F 5,385

Sig. ,001(a)

6,929

,000(b)

9,474

,000(c)

13,247

,000(d)


Model

B 1

2

3

(Constant)

,267

Std. Error ,846

hardware

,003

,161

,003

software

,251

,239

,172

brainware

,347

,237

,250

informasi

,057

,273

,037

prosedur

,394

,161

,386

(Constant) software brainware

,269 ,252 ,347

,829 ,234 ,233

,172 ,251

informasi

,058

,269

,037

prosedur

,395

,146

,387

(Constant)

,344

,740

software

,269 ,365 ,402

,217 ,214 ,141

,184 ,264 ,393

,851 ,488 ,425

,622 ,191 ,141

,353 ,415

brainware prosedur 4


(Constant) brainware prosedur

a Dependent Variable: kualitas layanan

Beta

L29 Hasil Pengujian Regresi antara Komponen Sistem Komputer dengan Produktifitas Variables Entered/Removed(b)

Model 1

Variables Entered

Variables Removed


Method

.

Enter

a All requested variables entered. b Dependent Variable: produktifitas Model Summary(b)

Model 1

R ,894(a)

R Square ,800



DurbinWatson 2,218

a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Dependent Variable: produktifitas ANOVA(b)

Model 1

Regression Residual


df

2,810

5

Mean Square 2,249

34

,083

F 27,213

Total

14,058 39 a Predictors: (Constant), prosedur, software, hardware, brainware, informasi b Dependent Variable: produktifitas Coefficients(a) Unstandardized Coefficients

Model

B


(Constant)

,133

Std. Error ,323

hardware

,106

,062

,155

software

,162

,091

,174

brainware

,204

,090

,232

informasi

,335

,104

,337

,192 a Dependent Variable: produktifitas

,061

,294

1

prosedur

Beta

Sig. ,000(a)

L30 Nilai-Nilai r Produk-Momen

3 4 5

Taraf Signif. 5% 1% 0,997 0,999 0.950 0,99 0,878 0,959

27 28 29

Taraf Signif. 5% 1% 0,381 0,487 0,374 0,478 0,367 0.470

55 60 65

Taraf Signif. 5% 1% 0,266 0,345 0,254 0.330 0,244 0,317

6 7 8 9 10

0,811 0,754 0,707 0,666 0,632

0,917 0,874 0,834 0,798 0,765

30 31 32 33 34

0,361 0,355 0,349 0,344 0,339

0,463 0,456 0,449 0,442 0,436

70 75 80 85 90

0,235 0,227 0.220 0,213 0,207

0,306 0,296 0,286 0,278 0.270

11 12 13 14 15

0,602 0,576 0,553 0,532 0,514

0,735 0,708 0,684 0,661 0,641

35 36 37 38 39

0,334 0,329 0,325 0.320 0,316

0.430 0,424 0,418 0,413 0,408

95 100 111 112 113

0,202 0,195 0,184 0,183 0.182

0,263 0,256 0,244 0,243 0.242

16 17 18 19 20

0,497 0,482 0,468 0,456 0,444

0,623 0,606 0.590 0,575 0,561

40 41 42 43 44

0,312 0,308 0,304 0,301 0,297

0,403 0,398 0,393 0,389 0,384

114 115 116 117 118

0,181 0.180 0,179 0,178 0,177

0,241 0.240 0,239 0,238 0,237

21 22 23 24 25 26

0,433 0,423 0,413 0,404 0,396 0,388

0,549 0,537 0,526 0,515 0,505 0,496

45 46 47 48 49 50

0,294 0,291 0,288 0,284 0,281 0,279

0.380 0,376 0,372 0,368 0,364 0,361

119 120 150 175 200 300

0,176 0,175 0,159 0,148 0,138 0,113

0,236 0,235 0.210 0,194 0,181 0,148

N

N

N

L31 Hasil Benchmark Sistem ERP

1. Prosessor 300 MHz

2. Memori 128

L32

3. LAN 100 Mbp

L33 Hasil Benchmark PT. Adhisakti Solusi Komputindo


2. Memory 128 Mb

L34

3. LAN 10 Mbps

L35 Hasil Benchmark Sistem Usulan


2. Memory 256 Mb

L36

3. LAN 100 Mbps

L37 Spesifikasi Minimum dari Sistem ERP 1. Server Requirement Item

Requirements

Notes

Operating system

Windows 2000 Server (service pack 2 or later) or Windows 2000 Advanced Server (service pack 2 or later)

We recommend that all client workstations in this type of system have a Windows NT, Windows 2000, or Windows XP operating system.

Processors

Dual Xeon 700 Mhz or equivalent

Be sure that you can upgrade to Quad processors.

Disk configuration

RAID 1 for operating system and applications (2 disks) RAID 1 for database log files (2 disks) RAID 5 for data files (4 disks)

To attain 2000 transactions per day, you may need to increase the number of disks in the RAID 5 disk volume. Having more available disks will improve SQL Server performance. We recommend using separate disks for database backups and transaction log dumps. We recommend using an Ultra SCSI-3 or Fiber controller.

RAM

2 GB or more

If you have more than 2 GB of RAM, enable the 3 GB switch in the Boot.ini file if Windows Advanced Server and SQL Server Enterprise Edition are installed. Be sure that you can expand to 4 GB RAM, if necessary.

CD-ROM

Yes

Network card

Dual 100-bit, 10/100 MB Ethernet or Fiber PCI NIC

Be sure that your switch has the capacity to handle network traffic.

2. Client Requirement Item

Requirements

Operating system (process server)

Windows NT Server 4.0 (service pack 6a or later) or Windows 2000 Server (service pack 2 or later) or Windows 2000 Professional (service pack 2 or later) or Windows XP

Operating system (client)

Windows NT Workstation 4.0 or Windows 2000 Professional (service pack 2 or later) or Windows 98

Notes

or Windows ME or Windows XP Processors

Pentium 350 Mhz

For clients with heavy processing, use a Pentium III 500 Mhz processor or higher.

Hard disk space

210 MB

An additional 35MB of hard disk space is required if you’re using Human Resources. An additional 50 MB of hard disk space is required if you’re using the Manufacturing Series.

RAM

128 MB

For clients with heavy processing, use 256 MB or more of RAM.

L38 Set virtual memory size to at least the amount of RAM in the computer plus 11 MB. Video

SVGA (800x600) with 16-bit video driver

CD-ROM

Optional

Network card

32-bit 100 Base T or 1000 Base T Ethernet

L39 Perbandingan Sistem Operasi Key: = Feature included

= Feature partly supported/included

= Feature not included

Dependable Feature

Feature Description

Stays Up and Running Built on New Windows XP Professional is built on Windows Engine the proven code base of Windows 2000, which features a 32-bit computing architecture, and a fully protected memory model. This makes Windows XP Professional the most reliable version yet. System Restore The System Restore feature enables users and administrators to restore a computer to a previous state without losing data. Device Driver When certain classes of new device Rollback drivers are installed, Windows XP Professional will maintain a copy of the previously installed driver, which can be reinstalled if problems occur. Scalable Memory Supports up to 4 gigabytes (GB) of and Processor RAM and up to two symmetric Support multiprocessors. Reduces Application Failure Side-by-Side DLL Provides a mechanism for multiple Support versions of individual Windows components to be installed and run "side by side." Windows File Protects core system files from being Protection overwritten by application installations. If a file is overwritten, Windows File Protection will restore the correct version. Windows An integrated service that helps users Installer install, configure, track, upgrade, and remove software programs correctly. Enhances Windows Security Internet A firewall client that can protect small Connection businesses from common Internet Firewall attacks. Encrypting File Encrypts each file with a randomly System (EFS) generated key. The encryption and with Multi-user decryption processes are transparent Support to the user. IP Security Helps protect data transmitted across (IPSec) a network. IPSec is an important part of providing security for virtual private networks (VPNs), which allow organizations to transmit data securely over the Internet. Smart Card Windows XP Professional integrates Support smart card capabilities into the operating system, including support for smart card login to terminal server

Windows 95/98/Me

Windows NT 4.0

Windows 2000 Professional

In Windows Me

No support for use with multiple users

Windows XP Professional

L40 sessions. Simplified Management and Deployment Simplifies Desktop Deployment Increased Hundreds of applications that didn’t run Application in Windows 2000 Professional will run Compatibility on Windows XP Professional, right out of the box. If an application is not natively supported by Windows XP Professional, a user or system administrator can specify if the application needs to run in either a Windows NT 4.0 or Windows 95/98/Me compatibility mode, giving the program an opportunity to execute appropriately without a noticeable loss of performance. User State Helps administrators migrate a user’s Migration Tool data and application/operating system settings from an old computer to a new Windows XP Professional desktop computer. Support for Windows XP Professional supports the Latest Hardware latest hardware standards. Standards

Setup with Dynamic Update

Unattended Installation

Internet Explorer 6 Administration Kit

System Preparation Tool (SysPrep)

Multilingual Support

The Windows XP Professional Setup routine ensures that the operating system files are up to date. Before any files are installed, Windows XP Professional checks the Web for critical system updates and downloads them for installation. Provides the ability to specify a greater number of options than previous versions of Windows, and allows for a greater degree of security by encrypting passwords in the answer files. Internet Explorer 6 is more customizable via the Internet Explorer Administration Kit (IEAK 6), so it's easier to deploy and maintain the browser. Version 6 of the IEAK adds control over new features such as the Media bar, Auto Image Resize, and the Personal bar. SysPrep helps administrators clone computer configurations, systems, and applications. A single image, which includes the operating system and business applications, can be restored to multiple different machine configurations. Allows users to easily create, read, and edit documents in many languages with the English version of Windows XP Professional. The Multilanguage User Interface version

N/A

As a resource kit tool with no support Support for some standards listed

Support for subset of options

Support for some standards listed


Version 1.0 available as download


L41 lets you change the user interface language for each user. Improves Desktop Management Remote Remote Assistance enables a user to Assistance share control of his or her computer with someone on a network or the Internet. IT departments can build custom solutions, on top of published APIs using HTML, to tailor Remote Assistance to their needs, and the feature can be centrally enabled or disabled. Group Policy Group Policy settings simplify the administration of users and objects by letting administrators organize them into logical units, such as departments or locations, and then assign the same settings—such as security, appearance, and management options—to all employees in that group. Resultant Set of Allows administrators to see the effect Policy (RSoP) of Group Policy on a targeted user or computer. Improved Help The Help and Support Center and Support combines features users are familiar Services with from previous versions of Windows (such as Search, Index, and Favorites) with content from the World Wide Web to give users more chances to get the help they need when they need it. Automatic With the user's permission, Windows Updates XP Professional automatically downloads critical and security updates in the background when the user is connected to the Internet. Windows Update As application compatibility updates, Improvements new device drivers, and other updates are released for Windows XP Professional, they become available on the Windows Update Web site. (Users can also find critical and security updates here, if they choose not to use automatic updating.) Recovery Windows XP provides a command-line Console console for administrators to start and stop services, format drives, read and write data on a local drive, and perform many other administrative tasks. Windows Provides a standard infrastructure for Management monitoring and managing system Instrumentation resources. (WMI) Increases User Efficiency Easily Publish Files and folders can be easily Information to published to any Web service that the Web uses the WebDAV protocol. Troubleshooters Help users and administrators configure, optimize, and troubleshoot numerous Windows XP Professional functions.

Subset of features in Windows Me

Subset of features in Windows Me

Subset of features

Partial subset of features

Subset of features



L42 features

features

Built for Mobile and Remote Users Revolutionizes the Way Remote Users Work Remote Desktop Let a user access his computer and any programs and data on it, from any computer, anywhere with network access. Credential A secured store for password Manager information. It allows users to input usernames and passwords once, and then have the system automatically supply them. Offline Files and A user can specify which networkFolders based files and folders she needs when she disconnects from the network. Additionally, with Windows XP Professional, offline folders can now be encrypted to provide the highest level of security. Synchronization Lets users compare and update their Manager offline files and folders with those on the network. Enhanced Online TAPI based applications, such as Conferencing NetMeeting® 3.01 conferencing software, will benefit from advances in audio and video streaming. Simplifies Networking Wireless Provides secured access, as well as Networking performance improvements, for wireless networks. Network Location Provides an underlying service that Awareness allows the operating system and applications to determine when a machine has changed network locations. Network Bridge Simplifies the setup and configuration of small networks that use mixed network connections (such as Cat-5 Ethernet and wireless) by linking the different types of networks together. Internet Connects a small office network to the Connection Internet, using a dial-up or broadband Sharing (ICS) connection. Windows XP Professional can provide network address translation, addressing, and name resolution services for all computers on a small business network to share a single connection. Easier Remote Guide users through the steps for Access setting up remote access to a network Configuration or virtual private network (VPN). Wizards Peer-to-Peer Enables Windows XP Professional to Networking interoperate with earlier versions of Support Windows on a peer-to-peer level, allowing the sharing of all resources, such as folders, printers, and peripherals.

Without encryption support

Subset of features in Windows Me Windows 98SE and Windows Me

Windows Me

Dina Juliana Deby Hermawan Prichayatun

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