LAMPIRANeprints.undip.ac.id/62828/8/Lampiran.pdfFrek Kunjungan Total Cost (Biaya) Umur Pendidikan...
Transcript of 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
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
SUMMARY OUTPUT
Regression Statistics
Multiple R 0,433625
R Square 0,188031
Adjusted R Square0,09611
Standard Error1,688894
Observations 60
ANOVA
df SS MS F Significance F
Regression 6 35,00817 5,834695 2,045567 0,075591
Residual 53 151,1752 2,852362
Total 59 186,1833
CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%
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
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
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
Regression Statistics
Multiple R 0,54014
R Square 0,291751
Adjusted R Square0,20322
Standard Error1,340289
Observations 55
ANOVA
df SS MS F Significance F
Regression 6 35,51942 5,919903 3,29547 0,008511
Residual 48 86,22604 1,796376
Total 54 121,7455
CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%
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
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
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.
41 1 2.980.000Rp 23 17 3.000.000Rp 2 1 ALI HASIBUAN
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
Regression Statistics
Multiple R 0,749484
R Square 0,561726
Adjusted R Square0,500572
Standard Error0,832517
Observations 50
ANOVA
df SS MS F Significance F
Regression 6 38,19737 6,366228 9,185358 1,77E-06
Residual 43 29,80263 0,693084
Total 49 68
CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%
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
Regression Statistics
Multiple R 0,591712
R Square 0,350123
Adjusted R Square0,233146
Standard Error0,34953
Observations 60
ANOVA
df SS MS F Significance F
Regression 9 3,291004 0,365667 2,993076 0,006248
Residual 50 6,108552 0,122171
Total 59 9,399556
CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%
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
Regression Statistics
Multiple R 0,717382
R Square 0,514636
Adjusted R Square0,413048
Standard Error0,282832
Observations 53
ANOVA
df SS MS F Significance F
Regression 9 3,647192 0,405244 5,065927 0,000113
Residual 43 3,43974 0,079994
Total 52 7,086933
CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95,0%Upper 95,0%
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-
(beta0+beta2*X2rata+beta3*X3rata+beta4*X4rata+beta5*X5rata+
beta6*X6rata))/beta1;
> TCrata:=(Vrata-
(beta0+beta2*X2rata+beta3*X3rata+beta4*X4rata+beta5*X5rata+
beta6*X6rata))/beta1;
> 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
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