lampiraneprints.undip.ac.id/62828/8/lampiran.pdffrek kunjungan total cost (biaya) umur pendidikan...

102

LAMPIRAN

LEMBAR ASISTENSI

KUISIONER

TCM DAN CVM

Formulir SPT. 212

FOMULIR DAFTAR ISIAN TRAVEL COST METHOD

(TCM)

OBJEK PENILAIAN KAWASAN

1. Jenis Obyek Penilaian : Rekreasi Situs

2. Nama Obyek Penilaian :

…………………………………………………………………………………

…………..

3. Letak Obyek (lon/lat)

4. Luas Obyek :

5. Nomor/Tanggal Surat Tugas :

……………………………….............................................................................

................

6. Nama Surveyor/Tgl Pelaksanaan :

.............................................................................................................................

................

7. Nomor Responden : .....................................................................

8. Identitas Responden :

a. Umur : ............................ tahun

b. Pendidikan : SD SLTP SLTA D1

D2

D3 S1 S2 S3

Lain-lain

9. Alamat tempat tinggal :

Desa/kelurahan : ....................................

Kecamatan : ....................................

Kabupaten/Kota : .....................................

Provinsi : .....................................

Data Survei

10. Berapa pendapatan ( keluarga ) anda per bulan ? Rp.....................

11. Berapa biaya yang anda keluarkan untuk :

a. Biaya tiket masuk lokasi pariwisata ? Rp..........

b. Biaya transport pengunjung dari tempat asal?

Rp...........

c. Biaya makan per hari ? Rp...........

d. Biaya penginapan per hari ? Rp............

e. Biaya lain lain ? Rp.............

12. Berapa lama anda tinggal di lokasi ini dalam setiap kali kunjungan? ............

jam

13. Berapa kali dalam satu tahun (berjalan) anda mengunjungi loksi pariwisata ini

? ....... kali

..............................................................................................................................

...................

14.a. Apakah selain lokasi wisata ini anda juga merencanakan mengunjungi

lokasi wisata yang lain dalam satu rangkaian perjalanan?

a). Ya b). Tidak

a. Kalau jawaban Anda a), berapa keseluruhan waktu yang anda butuhkan

untuk serangkaian perjalanan tersebut ? ................... hari.

15. Berapa orang yang ikut bersama anda dalam perjalanan wisata ini ?

...........0rang .

Formulir SPT. 211a

FOMULIR DAFTAR ISIAN CONTINGENT VALUATION METHOD (CVM)

OBJEK PENILAIAN KAWASAN

1. Jenis Obyek Penilaian : Satwa Tanaman

Situs/Bangunan Lain-lain

2. Nama obyek penilaian :

…………………………………………………………………………………

…………

3. Letak Obyek (lon/lat)

4. Luas Obyek :

5. Nomor/Tanggal Surat Tugas :

...................................................................................…………………………

……........

6. Nama Surveyor/Tgl Pelaksanaan :

.............................................................................................................................

..............

Teknik CVM : Nilai Keberadaan (Existance Value)

Sebuah kawasan di daerah bapak/ibu mempunyai beragam fungsi yang

sangat signifikan bagi kehidupan dan penghidupan keluarga bapak/ibu

khususnya dan masyarakat setempat pada umumnya. Keberadaan kawasan

tersebut dapat memberikan manfaat ekonomi dari aktivitas pemanfaatan

sumberdaya yang ada di kawasan tersebut dan manfaat ekologis dari

keberadaan kawasan tersebut yang terkait dengan manfaat tidak langsung

yang dapat diperoleh. Dengan segenap manfaat ekonomi-ekologi yang dapat

dirasakan dari keberadaan kawasan tersebut, maka apakah keberadaan

kawasan tersebut perlu dipertahankan ?

a. Sangat perlu

b. Cukup perlu

c. Sama saja

d. Kurang perlu

e. Sangat tidak perlu

A. Karakteristik Responden

Nama :

Umur :

Pendidikan Terakhir : 1. Tidak sekolah

2. SD tidak tamat (kelas ? .........)

3. SD tamat

4. SLTP tidak tamat (kelas ? .........)

5. SLTP tamat

6. SLTA tidak tamat (kelas ? .........)

7. SLTA tamat

8. Diploma (1 / 2 / 3 / 4)

9. Perguruan tinggi tidak tamat (tngkat ? ..........)

10. Perguruan tinggi tamat (S1 / S2 / S3)

11. Profesor

Jumlah anggota keluarga :

Pekerjaan utama :

Pengalaman kerja :

Pekerjaan sambilan :

Lama tinggal :

Pendapatan keluarga :

B. Persepsi terhadap Kawasan

B.1. Apakah keberadaan kawasan ini memberikan manfaat bagi keluarga dan

masyarakat di sekitarnya ?

a. Sangat bermanfaat

b. Cukup bermanfaat

c. Biasa saja

d. Kurang bermanfaat

e. Tidak bermanfaat

B.2. Seberapa pentingkah manfaat tersebut bagi keluarga dan masyarakat di sekitar

kawasan?

a. Sangat penting

b. Cukup penting

c. Biasa saja

d. Kurang penting

e. Tidak penting

B.3. Setujukah bapak/ibu bilamana kawasan ini kemudian dikonversi menjadi

peruntukan lain ?

a. Sangat setuju

b. Setuju

c. Biasa saja

d. Kurang setuju

e. Tidak setuju

B.4. Bersediakah bapak/ibu berpartisipasi dan bersama-sama masyarakat lainnya untuk

mempertahankan keberadaan kawasan ini ?

a. Sangat bersedia

b. Bersedia

c. Biasa saja

d. Kurang bersedia

e. Tidak setuju

B.5. Seberapa besar bapak/ibu bersedia menyisihkan pendapatan keluarga untuk

mempertahankan setiap hektar keberadaan kawasan ini per tahunnya ?

a. antara Rp.1 – Rp.25 ribu

b. antara Rp.25 ribu – Rp.50 ribu

c. antara Rp.50 ribu – Rp.100 ribu

d. antara Rp.100 ribu – Rp.250 ribu

e. antara Rp.250 ribu – Rp.500 ribu

f. antara Rp.500 ribu – Rp.1 juta

g. antara Rp.1 juta – Rp.5 juta

h. antara Rp.5 juta – Rp.10 juta

i. lebih dari Rp.10 juta (sebutkan besarannya Rp. .........................?)

B.6. Jumlah Populasi masyarakat yang memperoleh manfaat dari fungsi dari kawasan

obyek penilaian ( data sekunder )

DATA TCM

(PERMINTAAN)

PANTAI PARANGTRITIS

Frek Kunjungan Total Cost (Biaya) Umur Pendidikan Pendapatan Lama Kunjungan Alternatif Lokasi Nama

V X1 X2 X3 X4 X5 X6 Responden

1 2 1.355.000Rp 26 17 4.000.000Rp 2 1 NURUL

2 2 30.000Rp 23 16 5.000.000Rp 2 2 FAJAR

3 1 460.000Rp 27 13 10.000.000Rp 2 1 IPLI

4 1 465.000Rp 21 13 1.200.000Rp 2 1 KHOLIS

5 2 90.000Rp 22 17 3.500.000Rp 2 2 YUTA

6 2 45.000Rp 22 17 3.000.000Rp 2 2 FANI

7 5 190.000Rp 20 13 2.000.000Rp 2 1 PUTRI C.

8 5 585.000Rp 22 17 2.000.000Rp 2 1 TEGAR YUSUF

9 2 555.000Rp 21 13 3.000.000Rp 1 1 FAUZIAH

10 5 105.000Rp 23 17 6.000.000Rp 1 2 REVIONA

11 3 55.000Rp 28 17 6.000.000Rp 1 2 ANGGA

12 2 290.000Rp 18 13 4.000.000Rp 3 1 INDAH

13 1 290.000Rp 22 13 2.250.000Rp 3 1 RENDRA

14 1 290.000Rp 17 13 2.400.000Rp 3 1 NORA

15 2 25.000Rp 24 13 1.800.000Rp 1 2 PUJI

16 3 25.000Rp 29 13 2.000.000Rp 1 2 INTAN

17 1 280.000Rp 22 17 4.000.000Rp 3 2 ROMANSYAH

18 1 280.000Rp 23 17 3.000.000Rp 3 2 PUJIASTUTI

19 1 325.000Rp 20 17 3.000.000Rp 3 1 RANGGA

20 1 325.000Rp 20 17 2.000.000Rp 3 1 LIA

21 2 55.000Rp 22 17 2.000.000Rp 2 2 WIKA

22 4 55.000Rp 20 17 2.600.000Rp 1 2 LUTFI R.

23 3 25.000Rp 27 13 2.500.000Rp 3 1 ONANG

24 6 40.000Rp 22 17 1.400.000Rp 2 1 AGIS

25 3 705.000Rp 37 17 8.000.000Rp 2 1 SUWANDI

26 3 705.000Rp 35 17 8.000.000Rp 2 1 SRI HAYATI

27 5 20.000Rp 23 13 2.000.000Rp 1 2 VENY

28 5 20.000Rp 26 13 2.500.000Rp 1 2 FENDY

29 1 150.000Rp 19 10 1.450.000Rp 2 1 SALSABLA

30 1 105.000Rp 27 17 5.000.000Rp 1 1 ANTI

31 2 55.000Rp 21 13 1.700.000Rp 2 2 ALIF

32 1 150.000Rp 19 13 1.400.000Rp 2 1 ALFIAN

33 1 105.000Rp 27 17 5.000.000Rp 2 1 JOKO

34 1 2.105.000Rp 28 17 3.500.000Rp 2 1 VIVI

35 2 250.000Rp 33 17 2.500.000Rp 2 1 ROMILAH

36 4 855.000Rp 40 17 4.000.000Rp 3 1 MARBI

37 3 855.000Rp 45 17 5.000.000Rp 2 1 WINARTI

38 3 655.000Rp 35 17 5.000.000Rp 2 1 KASNONTO

39 1 450.000Rp 34 13 2.000.000Rp 3 1 SAMIAN

40 3 810.000Rp 40 17 25.000.000Rp 2 2 RINA PUJI A.

41 1 2.980.000Rp 23 17 3.000.000Rp 2 1 ALI HASIBUAN

42 6 200.000Rp 29 16 2.000.000Rp 2 1 ENDRAS

43 1 72.000Rp 27 13 4.500.000Rp 2 1 DHUHAN

44 5 680.000Rp 41 7 3.000.000Rp 1 1 NASIR

45 3 160.000Rp 24 13 1.300.000Rp 2 2 YUNIA S

46 1 50.000Rp 19 13 2.000.000Rp 2 1 SATRIO

47 1 1.000.000Rp 25 17 15.000.000Rp 2 1 ELIZABETH

48 1 1.200.000Rp 24 17 14.000.000Rp 2 1 RIZKA

49 1 1.300.000Rp 23 17 17.000.000Rp 2 1 NIA

50 1 1.500.000Rp 25 17 17.000.000Rp 2 1 ANDRE

51 7 25.000Rp 26 17 6.000.000Rp 2 1 WINDI

52 6 15.000Rp 17 13 4.000.000Rp 2 2 ICHA

53 6 15.000Rp 17 13 5.000.000Rp 2 2 SANDI

54 1 215.000Rp 25 17 4.000.000Rp 1 1 DITA

55 2 215.000Rp 27 17 4.000.000Rp 1 1 REZA

56 3 305.000Rp 45 19 20.000.000Rp 2 1 KASMIRU

57 1 2.900.000Rp 39 17 17.000.000Rp 2 1 NIA

58 2 655.000Rp 23 17 6.000.000Rp 2 1 FRASTIANA

59 5 100.000Rp 16 17 5.000.000Rp 2 1 DIKI

60 6 95.000Rp 19 13 5.500.000Rp 2 2 IAN

Rata-rata 2,62 465.283Rp 25,73 15,32 5.266.667Rp 1,97 1,32

No. Responden

lnV lnX1 lnX2 lnX3 lnX4 lnX5 lnX6

0,7 14,11931201 3,258096538 2,833213344 15,20180492 0,693147181 0

0,693147181 10,30895266 3,135494216 2,772588722 15,42494847 0,693147181 0,693147181

0 13,03898177 3,295836866 2,564949357 16,11809565 0,693147181 0

0 13,04979268 3,044522438 2,564949357 13,99783211 0,693147181 0

0,693147181 11,40756495 3,091042453 2,833213344 15,06827353 0,693147181 0,693147181

0,693147181 10,71441777 3,091042453 2,833213344 14,91412285 0,693147181 0,693147181

0,693147181 13,22672339 3,044522438 2,564949357 14,91412285 0 0

1,098612289 10,91508846 3,33220451 2,833213344 15,60727003 0 0,693147181

0,693147181 12,5776362 2,890371758 2,564949357 15,20180492 1,098612289 0

0 12,5776362 3,091042453 2,564949357 14,62644077 1,098612289 0

0 12,5776362 2,833213344 2,564949357 14,6909793 1,098612289 0

0,693147181 10,1266311 3,17805383 2,564949357 14,40329722 0 0,693147181

1,098612289 10,1266311 3,36729583 2,564949357 14,50865774 0 0,693147181

0 12,54254488 3,091042453 2,833213344 15,20180492 1,098612289 0,693147181

0 12,54254488 3,135494216 2,833213344 14,91412285 1,098612289 0,693147181

0 12,69158046 2,995732274 2,833213344 14,91412285 1,098612289 0

0 12,69158046 2,995732274 2,833213344 14,50865774 1,098612289 0

0,693147181 10,91508846 3,091042453 2,833213344 14,50865774 0,693147181 0,693147181

1,386294361 10,91508846 2,995732274 2,833213344 14,771022 0 0,693147181

1,098612289 10,1266311 3,295836866 2,564949357 14,73180129 1,098612289 0

1,098612289 13,46595308 3,610917913 2,833213344 15,8949521 0,693147181 0

1,098612289 13,46595308 3,555348061 2,833213344 15,8949521 0,693147181 0

1,609437912 9,903487553 3,135494216 2,564949357 14,50865774 0 0,693147181

1,609437912 9,903487553 3,258096538 2,564949357 14,73180129 0 0,693147181

0 11,91839057 2,944438979 2,302585093 14,18707411 0,693147181 0

0 11,56171563 3,295836866 2,833213344 15,42494847 0 0

0,693147181 10,91508846 3,044522438 2,564949357 14,34613881 0,693147181 0,693147181

0 11,91839057 2,944438979 2,564949357 14,15198279 0,693147181 0

0 11,56171563 3,295836866 2,833213344 15,42494847 0,693147181 0

0 14,55982603 3,33220451 2,833213344 15,06827353 0,693147181 0

0,693147181 12,4292162 3,496507561 2,833213344 14,73180129 0,693147181 0

1,386294361 13,65885675 3,688879454 2,833213344 15,20180492 1,098612289 0

1,098612289 13,65885675 3,80666249 2,833213344 15,42494847 0,693147181 0

1,098612289 13,39239051 3,555348061 2,833213344 15,42494847 0,693147181 0

0 13,01700286 3,526360525 2,564949357 14,50865774 1,098612289 0

1,098612289 13,60478953 3,688879454 2,833213344 17,03438638 0,693147181 0,693147181

0 14,90743386 3,135494216 2,833213344 14,91412285 0,693147181 0

0 11,1844214 3,295836866 2,564949357 15,31958795 0,693147181 0

1,609437912 13,42984808 3,713572067 1,945910149 14,91412285 0 0

1,098612289 11,98292909 3,17805383 2,564949357 14,07787482 0,693147181 0,693147181

0 10,81977828 2,944438979 2,564949357 14,50865774 0,693147181 0

0 13,81551056 3,218875825 2,833213344 16,52356076 0,693147181 0

0 13,99783211 3,17805383 2,833213344 16,45456789 0,693147181 0

0 14,07787482 3,135494216 2,833213344 16,6487239 0,693147181 0

0 14,22097567 3,218875825 2,833213344 16,6487239 0,693147181 0

0 12,27839331 3,218875825 2,833213344 15,20180492 0 0

0,693147181 12,27839331 3,295836866 2,833213344 15,20180492 0 0

1,098612289 12,62806706 3,80666249 2,944438979 16,81124283 0,693147181 0

0 14,88022129 3,663561646 2,833213344 16,6487239 0,693147181 0

0,693147181 13,39239051 3,135494216 2,833213344 15,60727003 0,693147181 0

SUMMARY OUTPUT

Regression Statistics

Multiple R 0,52692

R Square 0,277645

Adjusted R Square0,195869

Standard Error0,606835

Observations 60

ANOVA

df SS MS F Significance F

Regression 6 7,501637 1,250273 3,395182 0,006585

Residual 53 19,5172 0,368249

Total 59 27,01884

CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%

Intercept 1,053399 1,813163 0,580973 0,563721 -2,58334 4,690143 -2,58334 4,690143

lnX1 -0,22058 0,079567 -2,77227 0,007665 -0,38017 -0,06099 -0,38017 -0,06099

lnX2 0,70805 0,367404 1,927171 0,059326 -0,02887 1,44497 -0,02887 1,44497

lnX3 -0,03551 0,51364 -0,06913 0,945148 -1,06574 0,994724 -1,06574 0,994724

lnX4 0,018253 0,133863 0,136357 0,892056 -0,25024 0,286748 -0,25024 0,286748

lnX5 -0,19675 0,249936 -0,78721 0,434667 -0,69806 0,304556 -0,69806 0,304556

lnX6 0,188265 0,306486 0,614269 0,541665 -0,42647 0,802998 -0,42647 0,802998

DATA TCM

PANTAI PARANGTRITIS



1 2 1.355.000Rp 26 17 4.000.000Rp 2 1 NURUL

2 2 30.000Rp 23 16 5.000.000Rp 2 2 FAJAR

3 1 460.000Rp 27 13 10.000.000Rp 2 1 IPLI

4 1 465.000Rp 21 13 1.200.000Rp 2 1 KHOLIS

5 2 90.000Rp 22 17 3.500.000Rp 2 2 YUTA

6 2 45.000Rp 22 17 3.000.000Rp 2 2 FANI

7 5 190.000Rp 20 13 2.000.000Rp 2 1 PUTRI C.

8 5 585.000Rp 22 17 2.000.000Rp 2 1 TEGAR YUSUF

9 2 555.000Rp 21 13 3.000.000Rp 1 1 FAUZIAH

10 5 105.000Rp 23 17 6.000.000Rp 1 2 REVIONA

11 3 55.000Rp 28 17 6.000.000Rp 1 2 ANGGA

12 2 290.000Rp 18 13 4.000.000Rp 3 1 INDAH

13 1 290.000Rp 22 13 2.250.000Rp 3 1 RENDRA

14 1 290.000Rp 17 13 2.400.000Rp 3 1 NORA

15 2 25.000Rp 24 13 1.800.000Rp 1 2 PUJI

16 3 25.000Rp 29 13 2.000.000Rp 1 2 INTAN

17 1 280.000Rp 22 17 4.000.000Rp 3 2 ROMANSYAH

18 1 280.000Rp 23 17 3.000.000Rp 3 2 PUJIASTUTI

19 1 325.000Rp 20 17 3.000.000Rp 3 1 RANGGA

20 1 325.000Rp 20 17 2.000.000Rp 3 1 LIA

21 2 55.000Rp 22 17 2.000.000Rp 2 2 WIKA

22 4 55.000Rp 20 17 2.600.000Rp 1 2 LUTFI R.

23 3 25.000Rp 27 13 2.500.000Rp 3 1 ONANG

24 6 40.000Rp 22 17 1.400.000Rp 2 1 AGIS

25 3 705.000Rp 37 17 8.000.000Rp 2 1 SUWANDI

26 3 705.000Rp 35 17 8.000.000Rp 2 1 SRI HAYATI

27 5 20.000Rp 23 13 2.000.000Rp 1 2 VENY

28 5 20.000Rp 26 13 2.500.000Rp 1 2 FENDY

29 1 150.000Rp 19 10 1.450.000Rp 2 1 SALSABLA

30 1 105.000Rp 27 17 5.000.000Rp 1 1 ANTI

31 2 55.000Rp 21 13 1.700.000Rp 2 2 ALIF

32 1 150.000Rp 19 13 1.400.000Rp 2 1 ALFIAN

33 1 105.000Rp 27 17 5.000.000Rp 2 1 JOKO

34 1 2.105.000Rp 28 17 3.500.000Rp 2 1 VIVI

35 2 250.000Rp 33 17 2.500.000Rp 2 1 ROMILAH

36 4 855.000Rp 40 17 4.000.000Rp 3 1 MARBI

37 3 855.000Rp 45 17 5.000.000Rp 2 1 WINARTI

38 3 655.000Rp 35 17 5.000.000Rp 2 1 KASNONTO

39 1 450.000Rp 34 13 2.000.000Rp 3 1 SAMIAN

40 3 810.000Rp 40 17 25.000.000Rp 2 2 RINA PUJI A.


42 6 200.000Rp 29 16 2.000.000Rp 2 1 ENDRAS

43 1 72.000Rp 27 13 4.500.000Rp 2 1 DHUHAN

44 5 680.000Rp 41 7 3.000.000Rp 1 1 NASIR

45 3 160.000Rp 24 13 1.300.000Rp 2 2 YUNIA S

46 1 50.000Rp 19 13 2.000.000Rp 2 1 SATRIO

47 1 1.000.000Rp 25 17 15.000.000Rp 2 1 ELIZABETH

48 1 1.200.000Rp 24 17 14.000.000Rp 2 1 RIZKA

49 1 1.300.000Rp 23 17 17.000.000Rp 2 1 NIA

50 1 1.500.000Rp 25 17 17.000.000Rp 2 1 ANDRE

51 7 25.000Rp 26 17 6.000.000Rp 2 1 WINDI

52 6 15.000Rp 17 13 4.000.000Rp 2 2 ICHA

53 6 15.000Rp 17 13 5.000.000Rp 2 2 SANDI

54 1 215.000Rp 25 17 4.000.000Rp 1 1 DITA

55 2 215.000Rp 27 17 4.000.000Rp 1 1 REZA

56 3 305.000Rp 45 19 20.000.000Rp 2 1 KASMIRU

57 1 2.900.000Rp 39 17 17.000.000Rp 2 1 NIA

58 2 655.000Rp 23 17 6.000.000Rp 2 1 FRASTIANA

59 5 100.000Rp 16 17 5.000.000Rp 2 1 DIKI

60 6 95.000Rp 19 13 5.500.000Rp 2 2 IAN

Rata-rata 2,62 465.283Rp 25,73 15,32 5.266.667Rp 1,97 1,32

No. Responden

SUMMARY OUTPUT


Multiple R 0,433625

R Square 0,188031



Observations 60

ANOVA


Regression 6 35,00817 5,834695 2,045567 0,075591

Residual 53 151,1752 2,852362

Total 59 186,1833


Intercept 2,554171 2,088627 1,222895 0,226779 -1,63508 6,743427 -1,63508 6,743427

X1 -7,4E-07 4,19E-07 -1,7698 0,082513 -1,6E-06 9,88E-08 -1,6E-06 9,88E-08

X2 0,039745 0,035851 1,108635 0,272593 -0,03216 0,111652 -0,03216 0,111652

X3 -0,01219 0,103796 -0,1174 0,906985 -0,22037 0,196002 -0,22037 0,196002

X4 -2,3E-08 5,36E-08 -0,43154 0,667825 -1,3E-07 8,44E-08 -1,3E-07 8,44E-08

X5 -0,53771 0,378995 -1,41878 0,161819 -1,29788 0,222459 -1,29788 0,222459

X6 0,56989 0,531413 1,072406 0,288397 -0,49599 1,635769 -0,49599 1,635769



1 2 1.355.000Rp 26 17 4.000.000Rp 2 1 NURUL

2 2 30.000Rp 23 16 5.000.000Rp 2 2 FAJAR

3 1 460.000Rp 27 13 10.000.000Rp 2 1 IPLI

4 1 465.000Rp 21 13 1.200.000Rp 2 1 KHOLIS

5 2 90.000Rp 22 17 3.500.000Rp 2 2 YUTA

6 2 45.000Rp 22 17 3.000.000Rp 2 2 FANI

7 5 190.000Rp 20 13 2.000.000Rp 2 1 PUTRI C.

8 5 585.000Rp 22 17 2.000.000Rp 2 1 TEGAR YUSUF

9 2 555.000Rp 21 13 3.000.000Rp 1 1 FAUZIAH

10 5 105.000Rp 23 17 6.000.000Rp 1 2 REVIONA

11 3 55.000Rp 28 17 6.000.000Rp 1 2 ANGGA

12 2 290.000Rp 18 13 4.000.000Rp 3 1 INDAH

13 1 290.000Rp 22 13 2.250.000Rp 3 1 RENDRA

14 1 290.000Rp 17 13 2.400.000Rp 3 1 NORA

15 2 25.000Rp 24 13 1.800.000Rp 1 2 PUJI

16 3 25.000Rp 29 13 2.000.000Rp 1 2 INTAN

17 1 280.000Rp 22 17 4.000.000Rp 3 2 ROMANSYAH

18 1 280.000Rp 23 17 3.000.000Rp 3 2 PUJIASTUTI

19 1 325.000Rp 20 17 3.000.000Rp 3 1 RANGGA

20 1 325.000Rp 20 17 2.000.000Rp 3 1 LIA

21 2 55.000Rp 22 17 2.000.000Rp 2 2 WIKA

22 4 55.000Rp 20 17 2.600.000Rp 1 2 LUTFI R.

23 3 25.000Rp 27 13 2.500.000Rp 3 1 ONANG

24 6 40.000Rp 22 17 1.400.000Rp 2 1 AGIS

25 3 705.000Rp 37 17 8.000.000Rp 2 1 SUWANDI

26 3 705.000Rp 35 17 8.000.000Rp 2 1 SRI HAYATI

27 5 20.000Rp 23 13 2.000.000Rp 1 2 VENY

28 5 20.000Rp 26 13 2.500.000Rp 1 2 FENDY

29 1 150.000Rp 19 10 1.450.000Rp 2 1 SALSABLA

30 1 105.000Rp 27 17 5.000.000Rp 1 1 ANTI

31 2 55.000Rp 21 13 1.700.000Rp 2 2 ALIF

32 1 150.000Rp 19 13 1.400.000Rp 2 1 ALFIAN

33 1 105.000Rp 27 17 5.000.000Rp 2 1 JOKO

34 1 2.105.000Rp 28 17 3.500.000Rp 2 1 VIVI

35 2 250.000Rp 33 17 2.500.000Rp 2 1 ROMILAH

36 4 855.000Rp 40 17 4.000.000Rp 3 1 MARBI

37 3 855.000Rp 45 17 5.000.000Rp 2 1 WINARTI

38 3 655.000Rp 35 17 5.000.000Rp 2 1 KASNONTO

39 1 450.000Rp 34 13 2.000.000Rp 3 1 SAMIAN

40 3 810.000Rp 40 17 25.000.000Rp 2 2 RINA PUJI A.


42 6 200.000Rp 29 16 2.000.000Rp 2 1 ENDRAS

43 1 72.000Rp 27 13 4.500.000Rp 2 1 DHUHAN

44 5 680.000Rp 41 7 3.000.000Rp 1 1 NASIR

45 3 160.000Rp 24 13 1.300.000Rp 2 2 YUNIA S

46 1 50.000Rp 19 13 2.000.000Rp 2 1 SATRIO

47 1 1.000.000Rp 25 17 15.000.000Rp 2 1 ELIZABETH

48 1 1.200.000Rp 24 17 14.000.000Rp 2 1 RIZKA

49 1 1.300.000Rp 23 17 17.000.000Rp 2 1 NIA

50 1 1.500.000Rp 25 17 17.000.000Rp 2 1 ANDRE

54 1 215.000Rp 25 17 4.000.000Rp 1 1 DITA

55 2 215.000Rp 27 17 4.000.000Rp 1 1 REZA

56 3 305.000Rp 45 19 20.000.000Rp 2 1 KASMIRU

57 1 2.900.000Rp 39 17 17.000.000Rp 2 1 NIA

58 2 655.000Rp 23 17 6.000.000Rp 2 1 FRASTIANA

Rata-rata 2,31 503.036Rp 26,35 15,38 5.281.818Rp 1,96 1,29

No. Responden

SUMMARY OUTPUT


Multiple R 0,54014

R Square 0,291751



Observations 55

ANOVA


Regression 6 35,51942 5,919903 3,29547 0,008511

Residual 48 86,22604 1,796376

Total 54 121,7455


Intercept 1,09569 1,683283 0,650925 0,518199 -2,28878 4,480157 -2,28878 4,480157

X1 -4,7E-07 3,4E-07 -1,38077 0,173745 -1,2E-06 2,14E-07 -1,2E-06 2,14E-07

X2 0,084824 0,029897 2,837198 0,006648 0,024712 0,144936 0,024712 0,144936

X3 0,021032 0,086357 0,243552 0,808616 -0,1526 0,194664 -0,1526 0,194664

X4 -7,1E-08 4,34E-08 -1,63674 0,108226 -1,6E-07 1,62E-08 -1,6E-07 1,62E-08

X5 -0,61223 0,303063 -2,02013 0,04897 -1,22157 -0,00288 -1,22157 -0,00288

X6 0,363007 0,453347 0,800725 0,427237 -0,54851 1,274523 -0,54851 1,274523



1 2 1.355.000Rp 26 17 4.000.000Rp 2 1 NURUL

2 2 30.000Rp 23 16 5.000.000Rp 2 2 FAJAR

3 1 460.000Rp 27 13 10.000.000Rp 2 1 IPLI

4 1 465.000Rp 21 13 1.200.000Rp 2 1 KHOLIS

5 2 90.000Rp 22 17 3.500.000Rp 2 2 YUTA

6 2 45.000Rp 22 17 3.000.000Rp 2 2 FANI

9 2 555.000Rp 21 13 3.000.000Rp 1 1 FAUZIAH

11 3 55.000Rp 28 17 6.000.000Rp 1 2 ANGGA

12 2 290.000Rp 18 13 4.000.000Rp 3 1 INDAH

13 1 290.000Rp 22 13 2.250.000Rp 3 1 RENDRA

14 1 290.000Rp 17 13 2.400.000Rp 3 1 NORA

15 2 25.000Rp 24 13 1.800.000Rp 1 2 PUJI

16 3 25.000Rp 29 13 2.000.000Rp 1 2 INTAN

17 1 280.000Rp 22 17 4.000.000Rp 3 2 ROMANSYAH

18 1 280.000Rp 23 17 3.000.000Rp 3 2 PUJIASTUTI

19 1 325.000Rp 20 17 3.000.000Rp 3 1 RANGGA

20 1 325.000Rp 20 17 2.000.000Rp 3 1 LIA

21 2 55.000Rp 22 17 2.000.000Rp 2 2 WIKA

22 4 55.000Rp 20 17 2.600.000Rp 1 2 LUTFI R.

23 3 25.000Rp 27 13 2.500.000Rp 3 1 ONANG

25 3 705.000Rp 37 17 8.000.000Rp 2 1 SUWANDI

26 3 705.000Rp 35 17 8.000.000Rp 2 1 SRI HAYATI

27 5 20.000Rp 23 13 2.000.000Rp 1 2 VENY

28 5 20.000Rp 26 13 2.500.000Rp 1 2 FENDY

29 1 150.000Rp 19 10 1.450.000Rp 2 1 SALSABLA

30 1 105.000Rp 27 17 5.000.000Rp 1 1 ANTI

31 2 55.000Rp 21 13 1.700.000Rp 2 2 ALIF

32 1 150.000Rp 19 13 1.400.000Rp 2 1 ALFIAN

33 1 105.000Rp 27 17 5.000.000Rp 2 1 JOKO

34 1 2.105.000Rp 28 17 3.500.000Rp 2 1 VIVI

35 2 250.000Rp 33 17 2.500.000Rp 2 1 ROMILAH

36 4 855.000Rp 40 17 4.000.000Rp 3 1 MARBI

37 3 855.000Rp 45 17 5.000.000Rp 2 1 WINARTI

38 3 655.000Rp 35 17 5.000.000Rp 2 1 KASNONTO

39 1 450.000Rp 34 13 2.000.000Rp 3 1 SAMIAN

40 3 810.000Rp 40 17 25.000.000Rp 2 2 RINA PUJI A.


43 1 72.000Rp 27 13 4.500.000Rp 2 1 DHUHAN

44 5 680.000Rp 41 7 3.000.000Rp 1 1 NASIR

45 3 160.000Rp 24 13 1.300.000Rp 2 2 YUNIA S

46 1 50.000Rp 19 13 2.000.000Rp 2 1 SATRIO

47 1 1.000.000Rp 25 17 15.000.000Rp 2 1 ELIZABETH

48 1 1.200.000Rp 24 17 14.000.000Rp 2 1 RIZKA

49 1 1.300.000Rp 23 17 17.000.000Rp 2 1 NIA

50 1 1.500.000Rp 25 17 17.000.000Rp 2 1 ANDRE

54 1 215.000Rp 25 17 4.000.000Rp 1 1 DITA

55 2 215.000Rp 27 17 4.000.000Rp 1 1 REZA

56 3 305.000Rp 45 19 20.000.000Rp 2 1 KASMIRU

57 1 2.900.000Rp 39 17 17.000.000Rp 2 1 NIA

58 2 655.000Rp 23 17 6.000.000Rp 2 1 FRASTIANA

Rata-rata 2,00 530.940Rp 26,66 15,32 5.542.000Rp 1,98 1,30

No. Responden

SUMMARY OUTPUT


Multiple R 0,749484

R Square 0,561726



Observations 50

ANOVA


Regression 6 38,19737 6,366228 9,185358 1,77E-06

Residual 43 29,80263 0,693084

Total 49 68


Intercept 0,444911 1,065928 0,417393 0,678468 -1,70474 2,59456 -1,70474 2,59456

X1 -1,8E-07 2,14E-07 -0,83671 0,407384 -6,1E-07 2,53E-07 -6,1E-07 2,53E-07

X2 0,102053 0,018911 5,396593 2,74E-06 0,063916 0,14019 0,063916 0,14019

X3 -0,08598 0,056138 -1,53153 0,132964 -0,19919 0,027236 -0,19919 0,027236

X4 -3,7E-08 2,74E-08 -1,36232 0,180192 -9,3E-08 1,8E-08 -9,3E-08 1,8E-08

X5 -0,39477 0,191958 -2,05654 0,045831 -0,78189 -0,00765 -0,78189 -0,00765

X6 0,950377 0,294182 3,230571 0,002371 0,357102 1,543652 0,357102 1,543652

DATA CVM

PANTAI PARANGTRITIS

kontribusi keberadaan umur pendidikan keluarga pendapatan manfaat kepentingan konversi partisipasi

WTP X1 X2 X3 X4 X5 X6 X7 X8 X9

1 SURYANTI 1 5 42 10 4 18.000.000Rp 5 5 5 5

2 DALIMAH 1 4 53 7 1 18.000.000Rp 4 4 4 4

3 WAJIMAN 1 4 54 7 5 12.000.000Rp 5 4 4 3

4 JONO 1 4 52 13 4 12.000.000Rp 4 5 5 5

5 DESIANGLINDUNG 1 5 26 13 3 12.000.000Rp 5 5 5 5

6 JUNITA 2 5 24 13 5 12.000.000Rp 5 5 5 5

7 SOLIKIN 2 5 27 13 3 24.000.000Rp 4 5 5 5

8 ANDI 2 5 24 13 4 18.000.000Rp 5 5 5 5

9 DEVITA 2 5 23 13 3 18.000.000Rp 5 5 5 5

10 SARI 2 5 34 13 6 21.600.000Rp 4 5 5 5

11 SENEN 1 5 41 10 3 18.000.000Rp 5 5 5 5

12 KASMIDI 1 4 67 7 6 24.000.000Rp 4 4 5 5

13 IRFAN 1 4 20 10 5 24.000.000Rp 4 5 5 5

14 JOKO 1 5 35 10 4 12.000.000Rp 5 5 5 5

15 SUPRIANTO 1 5 32 10 6 18.000.000Rp 5 5 5 5

16 WASIDI 1 4 49 7 4 12.000.000Rp 4 4 4 3

17 JUMINEM 1 4 53 1 3 12.000.000Rp 5 5 5 5

18 SUSANTI 2 4 31 13 4 30.000.000Rp 5 5 5 5

19 NUR 2 5 22 13 3 24.000.000Rp 5 5 5 5

20 ERNI 1 5 31 10 4 24.000.000Rp 4 5 4 4

21 YUNITA 1 5 31 10 3 24.000.000Rp 5 5 5 5

22 EMA 2 5 37 10 4 24.000.000Rp 5 4 4 4

23 HERI 1 4 54 7 2 24.000.000Rp 4 4 4 4

24 SUTYATINI 2 5 40 10 5 30.000.000Rp 5 4 4 4

25 WELASONO 1 5 60 7 3 12.000.000Rp 5 4 4 4

26 JUNI 3 5 25 13 5 30.000.000Rp 4 5 5 5

27 HARIYANTI 1 5 60 7 3 24.000.000Rp 5 4 4 4

28 NARDI 2 4 35 10 4 18.000.000Rp 5 4 4 4

29 BAMBANG 2 5 18 10 5 15.600.000Rp 5 4 4 4

30 DONI 1 5 37 10 7 18.000.000Rp 4 5 5 5

31 CATUR WIBOWO 3 5 30 13 3 12.000.000Rp 5 5 5 5

32 NONIK 2 5 48 10 3 6.000.000Rp 5 5 5 5

33 BANGUN 3 5 30 13 5 36.000.000Rp 5 5 5 5

34 SURATMI 1 4 50 7 6 6.600.000Rp 4 4 4 4

35 SUPIYEM 1 4 50 7 4 24.000.000Rp 4 4 4 4

36 SUTIKNO 2 5 42 13 4 36.000.000Rp 5 5 5 5

37 ISTIQOMAH 2 5 35 13 3 24.000.000Rp 5 5 5 5

38 SUNIKAH 1 5 70 10 4 18.000.000Rp 4 5 5 5

39 YANTO 2 5 52 10 3 24.000.000Rp 5 5 5 5

40 DIYAH 1 5 38 13 5 15.600.000Rp 4 5 4 4

41 PARIYAH 1 4 50 7 3 12.000.000Rp 4 4 4 4

42 RUKMIN 1 5 48 10 4 15.600.000Rp 5 4 5 5

43 NASRUDIN 3 5 35 13 3 18.000.000Rp 5 5 3 4

44 ENY 3 5 38 13 6 24.000.000Rp 5 5 4 4

45 SRI 1 4 47 7 4 24.000.000Rp 4 5 4 4

46 HERMAN 2 5 31 13 4 24.000.000Rp 5 5 5 5

47 TRISNO 1 5 40 10 3 18.000.000Rp 4 5 4 4

48 WADJI 1 5 30 13 4 18.000.000Rp 5 5 4 4

49 WARDI 1 5 57 13 4 18.000.000Rp 5 5 4 4

50 TONI 1 5 25 10 3 24.000.000Rp 5 5 5 5

51 TASRIYAH 1 4 38 10 3 24.000.000Rp 5 5 5 5

52 SUGENG 1 5 34 10 4 24.000.000Rp 4 4 4 4

53 ROHMAH 1 5 45 13 4 24.000.000Rp 5 5 4 5

54 SURYO 1 5 40 10 5 24.000.000Rp 5 4 5 5

55 SULIS 2 5 28 13 5 15.600.000Rp 4 5 4 5

56 ROHIM 1 5 30 10 3 18.000.000Rp 4 5 4 5

57 TOHA 2 5 29 13 4 24.000.000Rp 5 5 5 5

58 DARMANTO 2 5 38 13 4 18.000.000Rp 5 5 4 4

59 DIMAS 2 4 29 13 4 24.000.000Rp 5 4 4 4

60 LILIK 1 5 40 10 5 20.400.000Rp 5 4 5 4

Rata-rata 1,50 4,73 38,90 10,55 4,00 19.950.000Rp 4,65 4,68 4,53 4,55

no nama

lnWTP lnX1 lnX2 lnX3 lnX4 lnX5 lnX6 lnX7 lnX8 lnX9

0,0000000 1,6094379 3,7376696 2,3025851 1,3862944 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,9702919 1,9459101 0,0000000 16,7058823 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9889840 1,9459101 1,6094379 16,3004172 1,6094379 1,3862944 1,3862944 1,0986123

0,0000000 1,3862944 3,9512437 2,5649494 1,3862944 16,3004172 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,2580965 2,5649494 1,0986123 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1780538 2,5649494 1,6094379 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,2958369 2,5649494 1,0986123 16,9935644 1,3862944 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1780538 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1354942 2,5649494 1,0986123 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,5263605 2,5649494 1,7917595 16,8882039 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,7135721 2,3025851 1,0986123 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 4,2046926 1,9459101 1,7917595 16,9935644 1,3862944 1,3862944 1,6094379 1,6094379

0,0000000 1,3862944 2,9957323 2,3025851 1,6094379 16,9935644 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,5553481 2,3025851 1,3862944 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,4657359 2,3025851 1,7917595 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,8918203 1,9459101 1,3862944 16,3004172 1,3862944 1,3862944 1,3862944 1,0986123

0,0000000 1,3862944 3,9702919 0,0000000 1,0986123 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,3862944 3,4339872 2,5649494 1,3862944 17,2167079 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,0910425 2,5649494 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,4339872 2,3025851 1,3862944 16,9935644 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 3,4339872 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,6109179 2,3025851 1,3862944 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9889840 1,9459101 0,6931472 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 3,6888795 2,3025851 1,6094379 17,2167079 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 4,0943446 1,9459101 1,0986123 16,3004172 1,6094379 1,3862944 1,3862944 1,3862944

1,0986123 1,6094379 3,2188758 2,5649494 1,6094379 17,2167079 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 4,0943446 1,9459101 1,0986123 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,6931472 1,3862944 3,5553481 2,3025851 1,3862944 16,7058823 1,6094379 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 2,8903718 2,3025851 1,6094379 16,5627815 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,6109179 2,3025851 1,9459101 16,7058823 1,3862944 1,6094379 1,6094379 1,6094379

1,0986123 1,6094379 3,4011974 2,5649494 1,0986123 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,8712010 2,3025851 1,0986123 15,6072700 1,6094379 1,6094379 1,6094379 1,6094379

1,0986123 1,6094379 3,4011974 2,5649494 1,6094379 17,3990295 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,9120230 1,9459101 1,7917595 15,7025802 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9120230 1,9459101 1,3862944 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 3,7376696 2,5649494 1,3862944 17,3990295 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,5553481 2,5649494 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 4,2484952 2,3025851 1,3862944 16,7058823 1,3862944 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,9512437 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,6375862 2,5649494 1,6094379 16,5627815 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,3862944 3,9120230 1,9459101 1,0986123 16,3004172 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,8712010 2,3025851 1,3862944 16,5627815 1,6094379 1,3862944 1,6094379 1,6094379

1,0986123 1,6094379 3,5553481 2,5649494 1,0986123 16,7058823 1,6094379 1,6094379 1,0986123 1,3862944

1,0986123 1,6094379 3,6375862 2,5649494 1,7917595 16,9935644 1,6094379 1,6094379 1,3862944 1,3862944

0,0000000 1,3862944 3,8501476 1,9459101 1,3862944 16,9935644 1,3862944 1,6094379 1,3862944 1,3862944

0,6931472 1,6094379 3,4339872 2,5649494 1,3862944 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,6888795 2,3025851 1,0986123 16,7058823 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 3,4011974 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 4,0430513 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 3,2188758 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,6375862 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,5263605 2,3025851 1,3862944 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,8066625 2,5649494 1,3862944 16,9935644 1,6094379 1,6094379 1,3862944 1,6094379

0,0000000 1,6094379 3,6888795 2,3025851 1,6094379 16,9935644 1,6094379 1,3862944 1,6094379 1,6094379

0,6931472 1,6094379 3,3322045 2,5649494 1,6094379 16,5627815 1,3862944 1,6094379 1,3862944 1,6094379

0,0000000 1,6094379 3,4011974 2,3025851 1,0986123 16,7058823 1,3862944 1,6094379 1,3862944 1,6094379

0,6931472 1,6094379 3,3672958 2,5649494 1,3862944 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,6375862 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,3862944 1,3862944

0,6931472 1,3862944 3,3672958 2,5649494 1,3862944 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,6888795 2,3025851 1,6094379 16,8310455 1,6094379 1,3862944 1,6094379 1,3862944

SUMMARY OUTPUT


Multiple R 0,591712

R Square 0,350123



Observations 60

ANOVA


Regression 9 3,291004 0,365667 2,993076 0,006248

Residual 50 6,108552 0,122171

Total 59 9,399556


Intercept -2,0234 2,69623 -0,75046 0,456498 -7,43894 3,392137 -7,43894 3,392137

lnX1 -0,21801 0,589487 -0,36982 0,713076 -1,40203 0,966014 -1,40203 0,966014

lnX2 -0,3439 0,176029 -1,95363 0,056351 -0,69746 0,009669 -0,69746 0,009669

lnX3 0,249082 0,154105 1,616316 0,112319 -0,06045 0,55861 -0,06045 0,55861

lnX4 0,07644 0,155847 0,490483 0,625938 -0,23659 0,389469 -0,23659 0,389469

lnX5 0,109023 0,135102 0,80697 0,423506 -0,16234 0,380383 -0,16234 0,380383

lnX6 1,001701 0,467477 2,142782 0,037022 0,062746 1,940656 0,062746 1,940656

lnX7 0,189817 0,581894 0,326206 0,74563 -0,97895 1,358585 -0,97895 1,358585

lnX8 -0,6903 0,612605 -1,12683 0,265192 -1,92076 0,54015 -1,92076 0,54015

lnX9 0,421418 0,648407 0,649928 0,518714 -0,88095 1,723783 -0,88095 1,723783

kontribusi keberadaan umur pendidikan keluarga pendapatan manfaat kepentingan konversi partisipasi

WTP X1 X2 X3 X4 X5 X6 X7 X8 X91 SURYANTI 1 5 42 10 4 18.000.000Rp 5 5 5 5

2 DALIMAH 1 4 53 7 1 18.000.000Rp 4 4 4 4

3 WAJIMAN 1 4 54 7 5 12.000.000Rp 5 4 4 3

4 JONO 1 4 52 13 4 12.000.000Rp 4 5 5 5

5 DESIANGLINDUNG 1 5 26 13 3 12.000.000Rp 5 5 5 5

6 JUNITA 2 5 24 13 5 12.000.000Rp 5 5 5 5

7 SOLIKIN 2 5 27 13 3 24.000.000Rp 4 5 5 5

8 ANDI 2 5 24 13 4 18.000.000Rp 5 5 5 5

9 DEVITA 2 5 23 13 3 18.000.000Rp 5 5 5 5

10 SARI 2 5 34 13 6 21.600.000Rp 4 5 5 5

11 SENEN 1 5 41 10 3 18.000.000Rp 5 5 5 5

12 KASMIDI 1 4 67 7 6 24.000.000Rp 4 4 5 5

13 IRFAN 1 4 20 10 5 24.000.000Rp 4 5 5 5

14 JOKO 1 5 35 10 4 12.000.000Rp 5 5 5 5

15 SUPRIANTO 1 5 32 10 6 18.000.000Rp 5 5 5 5

16 WASIDI 1 4 49 7 4 12.000.000Rp 4 4 4 3

17 JUMINEM 1 4 53 1 3 12.000.000Rp 5 5 5 5

18 SUSANTI 2 4 31 13 4 30.000.000Rp 5 5 5 5

19 NUR 2 5 22 13 3 24.000.000Rp 5 5 5 5

20 ERNI 1 5 31 10 4 24.000.000Rp 4 5 4 4

21 YUNITA 1 5 31 10 3 24.000.000Rp 5 5 5 5

22 EMA 2 5 37 10 4 24.000.000Rp 5 4 4 4

23 HERI 1 4 54 7 2 24.000.000Rp 4 4 4 4

24 SUTYATINI 2 5 40 10 5 30.000.000Rp 5 4 4 4

25 WELASONO 1 5 60 7 3 12.000.000Rp 5 4 4 4

27 HARIYANTI 1 5 60 7 3 24.000.000Rp 5 4 4 4

28 NARDI 2 4 35 10 4 18.000.000Rp 5 4 4 4

29 BAMBANG 2 5 18 10 5 15.600.000Rp 5 4 4 4

30 DONI 1 5 37 10 7 18.000.000Rp 4 5 5 5

33 BANGUN 3 5 30 13 5 36.000.000Rp 5 5 5 5

34 SURATMI 1 4 50 7 6 6.600.000Rp 4 4 4 4

35 SUPIYEM 1 4 50 7 4 24.000.000Rp 4 4 4 4

36 SUTIKNO 2 5 42 13 4 36.000.000Rp 5 5 5 5

37 ISTIQOMAH 2 5 35 13 3 24.000.000Rp 5 5 5 5

38 SUNIKAH 1 5 70 10 4 18.000.000Rp 4 5 5 5

39 YANTO 2 5 52 10 3 24.000.000Rp 5 5 5 5

40 DIYAH 1 5 38 13 5 15.600.000Rp 4 5 4 4

41 PARIYAH 1 4 50 7 3 12.000.000Rp 4 4 4 4

42 RUKMIN 1 5 48 10 4 15.600.000Rp 5 4 5 5

43 NASRUDIN 3 5 35 13 3 18.000.000Rp 5 5 3 4

45 SRI 1 4 47 7 4 24.000.000Rp 4 5 4 4

46 HERMAN 2 5 31 13 4 24.000.000Rp 5 5 5 5

47 TRISNO 1 5 40 10 3 18.000.000Rp 4 5 4 4

49 WARDI 1 5 57 13 4 18.000.000Rp 5 5 4 4

51 TASRIYAH 1 4 38 10 3 24.000.000Rp 5 5 5 5

52 SUGENG 1 5 34 10 4 24.000.000Rp 4 4 4 4

54 SURYO 1 5 40 10 5 24.000.000Rp 5 4 5 5

55 SULIS 2 5 28 13 5 15.600.000Rp 4 5 4 5

56 ROHIM 1 5 30 10 3 18.000.000Rp 4 5 4 5

57 TOHA 2 5 29 13 4 24.000.000Rp 5 5 5 5

58 DARMANTO 2 5 38 13 4 18.000.000Rp 5 5 4 4

59 DIMAS 2 4 29 13 4 24.000.000Rp 5 4 4 4

60 LILIK 1 5 40 10 5 20.400.000Rp 5 4 5 4

Rata-rata 1,43 4,70 39,49 10,34 4,00 19.981.132Rp 4,62 4,64 4,53 4,53

no nama

lnWTP lnX1 lnX2 lnX3 lnX4 lnX5 lnX6 lnX7 lnX8 lnX90,0000000 1,6094379 3,7376696 2,3025851 1,3862944 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,9702919 1,9459101 0,0000000 16,7058823 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9889840 1,9459101 1,6094379 16,3004172 1,6094379 1,3862944 1,3862944 1,0986123

0,0000000 1,3862944 3,9512437 2,5649494 1,3862944 16,3004172 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,2580965 2,5649494 1,0986123 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1780538 2,5649494 1,6094379 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,2958369 2,5649494 1,0986123 16,9935644 1,3862944 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1780538 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,1354942 2,5649494 1,0986123 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,5263605 2,5649494 1,7917595 16,8882039 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,7135721 2,3025851 1,0986123 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 4,2046926 1,9459101 1,7917595 16,9935644 1,3862944 1,3862944 1,6094379 1,6094379

0,0000000 1,3862944 2,9957323 2,3025851 1,6094379 16,9935644 1,3862944 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,5553481 2,3025851 1,3862944 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,4657359 2,3025851 1,7917595 16,7058823 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,8918203 1,9459101 1,3862944 16,3004172 1,3862944 1,3862944 1,3862944 1,0986123

0,0000000 1,3862944 3,9702919 0,0000000 1,0986123 16,3004172 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,3862944 3,4339872 2,5649494 1,3862944 17,2167079 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,0910425 2,5649494 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,4339872 2,3025851 1,3862944 16,9935644 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 3,4339872 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,6109179 2,3025851 1,3862944 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9889840 1,9459101 0,6931472 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 3,6888795 2,3025851 1,6094379 17,2167079 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 4,0943446 1,9459101 1,0986123 16,3004172 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 4,0943446 1,9459101 1,0986123 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,6931472 1,3862944 3,5553481 2,3025851 1,3862944 16,7058823 1,6094379 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 2,8903718 2,3025851 1,6094379 16,5627815 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,6109179 2,3025851 1,9459101 16,7058823 1,3862944 1,6094379 1,6094379 1,6094379

1,0986123 1,6094379 3,4011974 2,5649494 1,6094379 17,3990295 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,3862944 3,9120230 1,9459101 1,7917595 15,7025802 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,3862944 3,9120230 1,9459101 1,3862944 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,6931472 1,6094379 3,7376696 2,5649494 1,3862944 17,3990295 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,5553481 2,5649494 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 4,2484952 2,3025851 1,3862944 16,7058823 1,3862944 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,9512437 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,6375862 2,5649494 1,6094379 16,5627815 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,3862944 3,9120230 1,9459101 1,0986123 16,3004172 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,8712010 2,3025851 1,3862944 16,5627815 1,6094379 1,3862944 1,6094379 1,6094379

1,0986123 1,6094379 3,5553481 2,5649494 1,0986123 16,7058823 1,6094379 1,6094379 1,0986123 1,3862944

0,0000000 1,3862944 3,8501476 1,9459101 1,3862944 16,9935644 1,3862944 1,6094379 1,3862944 1,3862944

0,6931472 1,6094379 3,4339872 2,5649494 1,3862944 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,6888795 2,3025851 1,0986123 16,7058823 1,3862944 1,6094379 1,3862944 1,3862944

0,0000000 1,6094379 4,0430513 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,3862944 1,3862944

0,0000000 1,3862944 3,6375862 2,3025851 1,0986123 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,0000000 1,6094379 3,5263605 2,3025851 1,3862944 16,9935644 1,3862944 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,6888795 2,3025851 1,6094379 16,9935644 1,6094379 1,3862944 1,6094379 1,6094379

0,6931472 1,6094379 3,3322045 2,5649494 1,6094379 16,5627815 1,3862944 1,6094379 1,3862944 1,6094379

0,0000000 1,6094379 3,4011974 2,3025851 1,0986123 16,7058823 1,3862944 1,6094379 1,3862944 1,6094379

0,6931472 1,6094379 3,3672958 2,5649494 1,3862944 16,9935644 1,6094379 1,6094379 1,6094379 1,6094379

0,6931472 1,6094379 3,6375862 2,5649494 1,3862944 16,7058823 1,6094379 1,6094379 1,3862944 1,3862944

0,6931472 1,3862944 3,3672958 2,5649494 1,3862944 16,9935644 1,6094379 1,3862944 1,3862944 1,3862944

0,0000000 1,6094379 3,6888795 2,3025851 1,6094379 16,8310455 1,6094379 1,3862944 1,6094379 1,3862944

SUMMARY OUTPUT


Multiple R 0,717382

R Square 0,514636



Observations 53

ANOVA


Regression 9 3,647192 0,405244 5,065927 0,000113

Residual 43 3,43974 0,079994

Total 52 7,086933


Intercept -4,36355 2,398896 -1,81898 0,075883 -9,20138 0,474288 -9,20138 0,474288

lnX1 -0,40379 0,481813 -0,83806 0,406632 -1,37546 0,567881 -1,37546 0,567881

lnX2 -0,34194 0,151996 -2,24967 0,029643 -0,64847 -0,03541 -0,64847 -0,03541

lnX3 0,189972 0,128076 1,483275 0,145295 -0,06832 0,448262 -0,06832 0,448262

lnX4 0,100355 0,134063 0,748568 0,458193 -0,17001 0,370719 -0,17001 0,370719

lnX5 0,273925 0,130535 2,098473 0,041774 0,010675 0,537174 0,010675 0,537174

lnX6 1,261415 0,405606 3,109953 0,003316 0,443433 2,079397 0,443433 2,079397

lnX7 0,213321 0,489287 0,435983 0,66503 -0,77342 1,200063 -0,77342 1,200063

lnX8 -1,28686 0,540095 -2,38266 0,021679 -2,37607 -0,19766 -2,37607 -0,19766

lnX9 0,692896 0,559935 1,237457 0,222632 -0,43632 1,822113 -0,43632 1,822113

PERHITUNGAN MAPLE

TCM

> restart;

1. Membuat model permintaan/penawaran >

V:=beta0+beta1*X1+beta2*X2+beta3*X3+beta4*X4+beta5*X5+beta6

*X6;

2. Melakukan regresi linear berganda

3. Memasukkan koefisien hasil regresi ke dalam model linear > beta0:= 0.444911; > beta1:= -1.8*10^(-7) ; > beta2:= 0.102053;

> beta3:= -0.08598; > beta4:= -3.7*10^(-8); > beta5:= -0.39477;

> beta6:= 0.950377; >

>

V:=beta0+beta1*X1+beta2*X2+beta3*X3+beta4*X4+beta5*X5+beta6

*X6;

4. Masukkan rataan masing-masing parameter ke dalam model permintaan/penawaran > Vrata:= 2 ; > X2rata:=26.66 ; > X3rata:= 15.32; > X4rata:= 5542000;

> X5rata:= 1.98; > X6rata:= 1.30; >

>

V:=beta0+beta1*X1+beta2*X2rata+beta3*X3rata+beta4*X4rata+be

ta5*X5rata+beta6*X6;

5. Bentuk fungsi permintaan berdasarkan persamaan harga > restart;

> beta0:= 0.444911 ; > beta1:= -1.8*10^(-7) ; > beta2:= 0.102053 ; > beta3:= -0.08598;

> beta4:= -3.7*10^(-8); > beta5:=- 0.39447; > beta6:= 0.950377;

>

> Vrata:= 2 ;

> X2rata:=26.66 ; > X3rata:= 15.32; > X4rata:= 5542000; > X5rata:= 1.98;

> X6rata:= 1.3; >

> f(V):=(V-

(beta0+beta2*X2rata+beta3*X3rata+beta4*X4rata+beta5*X5rata+

beta6*X6rata))/beta1;

6. Membuat kurva permintaan/penawaran > plot(-5.555555556*10^6*V+1.165453267*10^7,V=0..2);

7. Menghitung Consumer Surplus atau Producer Surplus (luasan di belakang kurva

permintaan/penawaran dari nol sampai Qrata)

Jika kurvanya PERMINTAAN, maka nilai CS-nya sebagai berikut: > TCmax:=(0-



> TCrata:=(Vrata-



> CS:=1/2*Vrata*(TCmax-TCrata);

8. Introduksi jumlah populasi yang melakukan kunjungan ke suatu kawasan dan luasan

kawasan kawasan yang dinilai > N:=2229125;L:=58.1;

9. Hitung nilai ekonomi kawasan tersebut berdasarkan fungsinya sebagai penyedia jasa

wisata per satuan hektar > DUVproduk:=CS*N/L;

> DUVpermeter:=DUVproduk/10000;

Dengan demikian, dapat diketahui bahwa kawasan memberikan nilai ekonomi

berdasarkan fungsinya sebagai penyedia jasa wisata sebesar Rp. ,- per m2 > DUVTotal:=DUVproduk*L;

Dengan demikian,dapat diketahui bahwa nilai Total keberadaan Pantai Parangtritis

ditinjau dari pengunjung mancanagera sebesar Rp. ,-

PERHITUNGAN MAPLE

CVM

> restart;

1. Membuat model WTP >

WTP:=beta0*X1^beta1*X2^beta2*X3^beta3*X4^beta4*X5^beta5*X6^

beta6*X7^beta7*X8^beta8*X9^beta9;

2. Mentransformasi model non-linear menjadi model linear >

lnWTP:=beta0+beta1*lnX1+beta2*lnX2+beta3*lnX3+beta4*lnX4+be

ta5*lnX5+beta6*lnX6+beta7*lnX7+beta8*lnX8+beta9*lnX9;

3. Melakukan regresi linear berganda

4. Memasukkan koefisien hasil regresi ke dalam model linear > beta0:= -4.36355; > beta1:=-0.40379;

> beta2:= -0.34194; > beta3:= 0.189972; > beta4:= 0.100355; > beta5:= 0.273925;

> beta6:= 1.261415; > beta7:= 0.213321; > beta8:= -1.28686; > beta9:= 0.692896;

>

>

lnWTP:=beta0+beta1*lnX1+beta2*lnX2+beta3*lnX3+beta4*lnX4+be

ta5*lnX5+beta6*lnX6+beta7*lnX7+beta8*lnX8+beta9*lnX9;

5. Mentransformasikan kembali model linear ke model asalnya (model non linear) >

WTP:=exp(beta0)*X1rata^beta1*X2rata^beta2*X3rata^beta3*X4ra

ta^beta4*X5rata^beta5*X6rata^beta6*X7rata^beta7*X8rata^beta

8*X9rata^beta9;

6. Masukkan rataan masing-masing parameter ke dalam model WTP > X1rata:= 4.7 ; > X2rata:= 39.49;

> X3rata:= 10.34; > X4rata:= 4.0; > X5rata:=19981132;

> X6rata:= 4.62; > X7rata:= 4.64; > X8rata:= 4.53; > X9rata:= 4.53;

>

>

WTPhitung:=exp(beta0)*X1rata^beta1*X2rata^beta2*X3rata^beta

3*X4rata^beta4*X5rata^beta5*X6rata^beta6*X7rata^beta7*X8rat

a^beta8*X9rata^beta9;

7. Tentukan letak WTP riil berdasarkan hasil perhitungan WTP hitung, pada

range sebagai berikut:

nilai WTP hitung = 0-1, maka letak nilai riil WTP berada di range pertama (Rp.1-25

ribu)

nilai WTP hitung = 1-2, maka letak nilai riil WTP berada di range kedua (Rp.25-50

ribu)

nilai WTP hitung = 2-3, maka letak nilai riil WTP berada di range ketiga (Rp.50-100

ribu)

nilai WTP hitung = 3-4, maka letak nilai riil WTP berada di range keempat (Rp.100-250

ribu)

nilai WTP hitung = 4-5, maka letak nilai riil WTP berada di range kelima (Rp.250-500

ribu)

nilai WTP hitung = 5-6, maka letak nilai riil WTP berada di range keenam (Rp.500

ribu-1 juta), dan seterusnya

8. Tentukan WTP riil minimal pada range yang telah ditentukan

, maka nilai itu terletak di range kedua (Rp.25ribu-50 ribu), sehingga nilai minimal

WTP rill adalah sebesar 25000. > WTP_riil_maximum:=50000;WTP_riil_minimum:=25000;

9. Tentukan besaran range WTP rill

Besaran range pada range kedua (Rp.25 ribu-50 ribu) adalah sebesar 25.000 > Besaran_range_terpilih:=WTP_riil_maximum-

WTP_riil_minimum; nilai_desimal_WTPhitung:=WTPhitung-1;

10. Tentukan nilai WTP riil-nya >

WTPriil:=WTP_riil_minimum+(nilai_desimal_WTPhitung*Besaran_

range_terpilih);

>

11. Introduksi jumlah populasi penduduk yang secara administratif merupakan

daerah/tempat kawasan itu berada dan luasan kawasan yang dinilai > Populasi :=971511; Luas:=58.1;

12. Hitung nilai keberadaan kawasan tersebut persatuan hektar > EVwisataPerHa:=WTPriil*Populasi/Luas;

Dengan demikian, nilai keberadaan kawasan Pantai Parangtritis berdasarkan hasil

perhitungan adalah sebesar Rp ,- per hektar > perm2:=EVwisataPerHa/10000;

Nilai keberadaan kawasan Pantai Parangtritis permeter adalah sebesar Rp 56.585,-

permeter > TB:=WTPriil*Populasi;

>

Dengan demikian, total nilai keberadaan Pantai Parangtritis (EV) berdasarkan hasil

perhitungan adalah sebesar Rp. ,-

VALIDASI MODEL

TCM

No V Sebenarnya X1 X2 X3 X4 X5 X6 V Hitung Vhitung-Vsebenarnya Vhitung-Vsebenarnya kuadrat

61 1 150.000Rp 25 17 9.000.000Rp 3 1 0,94719901 -0,052800994 0,002787945

62 2 200.000Rp 23 17 10.000.000Rp 2 2 2,00288787 0,002887868 8,33978E-06

63 2 250.000Rp 19 13 7.000.000Rp 2 2 2,0895501 0,089550096 0,00801922

64 2 300.000Rp 22 13 10.000.000Rp 3 2 1,9885758 -0,011424201 0,000130512

65 1 110.000Rp 27 16 6.500.000Rp 4 1 1,04324648 0,043246481 0,001870258

66 3 300.000Rp 31 17 9.000.000Rp 2 2 2,99819589 -0,001804112 3,25482E-06

67 1 50.000Rp 25 17 7.500.000Rp 3 1 1,01756966 0,017569656 0,000308693

68 2 400.000Rp 24 17 5.500.000Rp 3 2 1,86331469 -0,136685309 0,018682874

69 4 300.000Rp 41 17 7.000.000Rp 3 2 3,93114945 -0,068850554 0,004740399

70 2 500.000Rp 19 13 8.000.000Rp 2 2 2,0019884 0,001988396 3,95372E-06

Rata-rata 2 256.000Rp 25,6 15,7 7.950.000Rp 2,7 1,7 1,98836773 -0,011632267 0,003655545 Rata-rata

0,060461102 RMSE

VALIDASI MODEL

CVM

WTP Sebenarnya X1 X2 X3 X4 X5 X6 X7 X8 X9

1 5 40 7 4 24000000 4 5 5 5

1 5 22 7 3 15600000 4 5 5 4

2 3 30 13 6 24000000 5 4 5 4

2 5 37 10 5 18000000 5 5 4 5

1 5 28 13 3 12000000 4 4 5 5

1 5 50 7 5 18000000 5 4 5 4

1 4 45 13 2 15600000 4 4 5 5

2 5 25 13 3 18000000 5 5 4 4

1 5 65 10 4 24000000 5 3 5 4

2 4 25 13 5 18000000 5 5 5 5

No WTP Sebenarnya X1 X2 X3 X4 X5 X6 X7 X8 X9 WTP Hitung WTP Hitung-Wtp Sebenarnya WTP Hitung-Wtp Sebenarnya 2̂

61 0 1,609438 3,688879 1,94591 1,386294 16,99356 1,386294 1,609438 1,609438 1,609438 0,02502299 0,02502299 0,00062615

62 0 1,609438 3,091042 1,94591 1,098612 16,56278 1,386294 1,609438 1,609438 1,386294 -0,0720404 -0,072040445 0,005189826

63 0,693147181 1,098612 3,401197 2,564949 1,791759 16,99356 1,609438 1,386294 1,609438 1,386294 0,56720999 -0,125937194 0,015860177

64 0,693147181 1,609438 3,610918 2,302585 1,609438 16,70588 1,609438 1,609438 1,386294 1,609438 0,6316608 -0,061486376 0,003780574

65 0 1,609438 3,332205 2,564949 1,098612 16,30042 1,386294 1,386294 1,609438 1,609438 -0,0017573 -0,001757345 3,08826E-06

66 0 1,609438 3,912023 1,94591 1,609438 16,70588 1,609438 1,386294 1,609438 1,386294 -0,0284283 -0,028428314 0,000808169

67 0 1,386294 3,806662 2,564949 0,693147 16,56278 1,386294 1,386294 1,609438 1,609438 -0,0427127 -0,042712692 0,001824374

68 0,693147181 1,609438 3,218876 2,564949 1,098612 16,70588 1,609438 1,609438 1,386294 1,386294 0,60967836 -0,083468821 0,006967044

69 0 1,609438 4,174387 2,302585 1,386294 16,99356 1,609438 1,098612 1,609438 1,386294 -0,0553418 -0,055341785 0,003062713

70 0,693147181 1,386294 3,218876 2,564949 1,609438 16,70588 1,609438 1,609438 1,609438 1,609438 0,61850616 -0,074641017 0,005571281

Jumlah 2,772588722 15,13727 35,45507 23,26765 13,38165 167,2302 15,2018 14,69098 15,64809 14,97866 2,25179772 -0,520790999 0,043693397

0,00436934 Rata-rata

0,066100981 RMSE

UJI STATISTIK

UJI ASUMSI KLASIK

UJI ASUMSI KLASIK CVM

UJI NORMALITAS

UJI HETEROSKEDASTISITAS

UJI AUTOKORELASI

UJI MULTIKOLINEARITAS

UJI ASUMSI KLASIK TCM

UJI NORMALITAS

UJI HETEROSKEDASTISITAS

UJI AUTOKORELASI

UJI MULTIKOLINEARITAS

PETA ZNEK

PETA UTILITAS

lampiraneprints.undip.ac.id/62828/8/lampiran.pdffrek kunjungan total cost (biaya) umur pendidikan...

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