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Lampiran 1 LEMBAR OBSERVASI PENGUMPULAN DATA PENGARUH FAKTOR RISIKO TERHADAP KEBERADAAN VEKTOR PENYAKIT DI KAPAL PADA PELABUHAN TEMBILAHAN

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(1)

Lampiran 1

LEMBAR OBSERVASI PENGUMPULAN DATA

PENGARUH FAKTOR RISIKO TERHADAP KEBERADAAN

VEKTOR PENYAKIT DI KAPAL PADA PELABUHAN TEMBILAHAN

Nama Kapal

:

Besar Kapal

:

Bendera

:

Tanggal SSCEC :

Jenis Kapal

:

A. DECK

No Komponen yang dinilai

Penilaian Keberadaan Vektor Tdk baik (0) Baik (1) .Ada (1) T.Ada (2) 1 Kebersihan (Tidak ada sampah, oli )

2 Lantai kedap air, tidak ada genangan air 3 Lantai tidak berkarat

4 Lantai rata, sambungan tidak menonjol 5 Barang-barang APD, tali tersusun rapi

Total Nilai

B. KAMAR AWAK KAPAL

No Komponen yang dinilai

Penilaian Keberadaan Vektor Tdk baik (0) Baik (1) .Ada (1) T.Ada (2) 1 Kebersihan (tidak ada sampah,

barang-barang tersusun rapi)

2 Ventilasi cukup (sirkulasi udara lancar, mempunyai lubang bukaan 1,25 cm)

3 Penerangan >5-10 fc

4 Hunian kamar <4 orang/kamar Total Nilai

(2)

C. KAMAR MANDI/TOILET

No Komponen yang dinilai

Penilaian Keberadaan Vektor Tdk baik (0) Baik (1) .Ada (1) T.Ada (2) 1 Kebersihan (Lantai tidak licin, dinding

tidak kotor) 2 Tidak berbau

3 Bukan tempat penyimpanan barang 4 Kran berfungsi baik

5 Tersedia wastafel 6 Tersedia air panas 7 Tersedia tissue, sabun

Total Nilai

D. DAPUR

No Komponen yang dinilai

Penilaian Keberadaan Vektor Tdk baik (0) Baik (1) .Ada (1) T.Ada (2) 1 Kebersihan (Tidak ada sampah berserakan,

permukaan dinding lembut dan terang) 2 Ada tempat sampah yg memenuhi syarat kes 3 Ada pemisahan sampah organik dan an organik 4 Alat-alat bersih

5 Makanan masak tertutup 6 Ventilasi cukup

7 Pencahayaan 20 fc

8 Mencuci dengan air panas 77 derajat Celcius Total Nilai

(3)

E. GUDANG PERSEDIAAN MAKANAN

No Komponen yang dinilai

Penilaian Keberadaan Vektor Tdk baik (0) Baik (1) .Ada (1) T.Ada (2) 1 Kebersihan (Tidak ada sampah

berserakan, barang-barang tersusun rapi) 2 Menyimpan pada rak 15 cm dari deck 3 Tidak berbau

4 Pencahayaan 20 fc

5 Thermometer berfungsi dengan baik 6 Temperatur bahan makanan mudah

membusuk disimpan 0-7 derajat celcius 7 Bahan makanan tidak mudah

membusuk disimpan 10-15 derajat Celcius

(4)

Lampiran 2

Dokumentasi Hasil Penelitian

Gambar 1: Dapur Kapal

(5)

Gambar 3: Deck Kapal

(6)

Gambar 5: Gudang Persediaan Makanan di Kapal

(7)

Gambar 7: Toilet di Kapal

(8)

Gambar 9: Dapur di Kapal

(9)

Gambar 11: Toilet di Kapal

(10)

Gambar 13: Kamar Awak kapal

(11)
(12)

Lampiran 3

Daftar kedatangan kapal yang diobservasi

pada Kantor Kesehatan Pelabuhan Kelas III Tembilahan

Bulan September dan Oktober Tahun 2011

No

Tanggal

Nama kapal

Isi kotor

(M3)

Bendera

Datang dari

1

01 Sept

Tb.Sri jaya Utama

203,76

Indonesia

Singapore

2

05 Sept

Tb.Surya Wira

646,07

Indonesia

Vietnam

3

05 Sept

Klm.Rajawali Sakti

280,17

Indonesia

Slt.Panjang

4

06 Sept

Mv.Didne

115.073,46

Malaysia

Malaysia

5

07 Sept

Tb.Terus Daya

732,97

Indonesia

Malaysia

6

08 Sept

Tb.Marcopolo 107

464,12

Indonesia

Jambi

7

08 Sept

Tb.Marcopolo 29

339,20

Indonesia

K.Tungkal

8

08 Sept

Mt.Pelumin Satu

4.004,45

Indonesia

Tj.buton

9

09 sept

Tb.Armada Asia

291,49

Indonesia

Tj.Balai

10

10 Sept

Tb.TS 293

648.07

Indonesia

Tj.Buton

11

10 Sept

Tb.Maju Daya 21

523,55

Indonesia

Palembang

12

11 Sept

Tb.Tri Daya Aruna

263,19

Indonesia

Tj.Balai K

13

12 Sept

Tb.TS 24.5.1

447,14

Indonesia

Tj.Buton

14

12 Sept

Tb.Asento 296

616,94

Indonesia

Tj.Buton

15

13 Sept

Tb.Surya Cakra 6

721,65

Indonesia

Malaysia

16

13 Sept

Tb.Marcopolo 99

356,58

Indonesia

Batam

17

14 Sept

Tb.Citra Karya

169,80

Indonesia

Tj.Buton

18

15 Sept

Klm.Johnson

251,87

Indonesia

Sumsang

19

15 Sept

Tb.Garuda III

481,10

Indonesia

Tj.Buton

20

16 Sept

Tb.Marcopolo 57

435,83

Indonesia

Jambi

21

17 Sept

Tb.Ocean Arindo

314,13

Indonesia

Tj.Buton

(13)

22

17 Sept

MV.Power Stell

110.033,23

Malaysia

Malaysia

23

18 Sept

Tb.Citra Sanjaya

206,59

Indonesia

Tj.Buton

24

19 Sept

Tb.BPW 3

283,00

Indonesia

Tj.Buton

25

20 Sept

Tb.BPW 5

305,84

Indonesia

Tj.Buton

26

21 Sept

Tb.Arwana

249,04

Indonesia

Tj.Buton

27

22 Sept

Tb.Mitra Kencana

421,67

Indonesia

Dumai

28

23 Sept

Tb.Venus I

229,23

Indonesia

Tj.Buton

29

23 Sept

Tb.Maju Agung

192,44

Indonesia

Tj.Buton

30

24 Sept

Klm.Cahaya Indo

311,30

Indonesia

Sumsang

31

25 Sept

Tb.Jangkat

240,55

Indonesia

Tj.Balai K

32

25 Sept

Tb.Marcopolo 296

3.421,79

Indonesia

Jambi

33

26 Sept

Tb.United I

430,16

Indonesia

Tj.Buton

34

27 Sept

Tb.Amethyss I

247,93

Indonesia

Tj.Buton

35

27 Sept

Tb.Honduras

291,43

Indonesia

Tj.Buton

36

27 Sept

MV.AB Jad

85.049,99

India

India

37

28 Sept

Tb.Marcopolo 107

464,12

Indonesia

K.Tungkal

38

28 Sept

Tb.GMS Fortuna

149,99

Indonesia

Siak

39

29 Sept

Klm.Sinar Maju

367,90

Indonesia

Palembang

40

29 Sept

Klm.Indra Jaya

362,64

Indonesia

Sumsang

41

30 Sept

Klm.Mekar Puspita

1.743,28

Indonesia

Pekanbaru

42

01 Okt

Klm.Victory

223,83

Indonesia

Sumsang

43

03 Okt

Tb.Garnet-I

308,47

Indonesia

Tj.Buton

44

04 Okt

Klm.Fajar

642,41

Indonesia

S.Kelapa

45

05 Okt

Klm.Bina Abadi

837,68

Indonesia

S.Kelapa

46

06 Okt

Tb.Cipta Agung-I

266,02

Indonesia

Kijang

47

07 Okt

Tb.Terus daya-25

732,83

Indonesia

Singapura

(14)

49

09 Okt

Km.Duta Samudra

990,5

Indonesia

Slt.Panjang

50

10 Okt

Km.Lucky Star

478,83

Indonesia

Palembang

51

11 Okt

Tb.Hufco Flower

232,72

Indonesia

Tj.Buton

52

13 Okt

Km.Dwi Fortuna

1.013,14

Indonesia

Batam

53

14 Okt

Km.Sejahtera-X

840,15

Indonesia

S.Kelapa

54

15 Okt

Tb.Capricon-18

251,87

Indonesia

Tj.Buton

(15)

Lampiran 4

HASIL OBSERVASI PENGARUH FAKTOR RISIKO TERHADAP KEBERADAAN VEKTOR DI KAPAL

K pl

FAKTOR RISIKO DI KAPAL DECK Total n ilai k ateg o ri Vek to r KMR AWAK KAPAL T o tal n ilai Kateg o ri Vek to r KAMAR MANDI/TOILET T o tal n ilai Kateg o ri Vek to r DAPUR Total n ilai Kateg o ri Vek to r GUD PERS MAKANAN T o tal n ilai k ateg o ri Vek to r No komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian 1 2 3 4 5 1 2 3 4 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7

Nilai Nilai Nilai Nilai Nilai

1 0 0 0 1 0 1 A R Ad 0 0 1 0 1 A R Ad 1 1 1 0 0 0 1 4 TR Ta 0 0 0 1 1 1 0 0 3 A R Ad 0 1 1 1 0 1 1 5 TR Ta 2 0 0 0 0 0 0 A R Ta 1 1 1 0 3 TR Ta 1 1 1 0 1 0 0 4 TR Ta 1 0 0 1 1 1 1 0 5 TR Ad 0 1 1 1 1 0 0 4 TR Ad 3 0 0 0 1 0 1 A R Ta 1 1 1 0 3 TR Ta 0 1 1 0 0 0 0 2 A R Ta 0 0 0 1 1 1 0 0 3 A R Ad 0 0 1 0 0 0 0 6 AR Ad 4 0 0 0 1 0 1 A R Ta 1 1 1 1 4 TR Ta 0 1 1 0 0 0 1 3 A R Ta 1 0 1 1 1 1 1 1 7 TR Ta 1 0 1 1 1 1 1 6 TR Ta 5 1 1 1 1 0 4 TR Ta 1 1 1 0 3 TR Ta 0 1 1 1 0 0 1 4 TR Ad 1 0 0 1 1 1 0 1 5 TR Ad 1 0 1 1 0 1 1 5 TR Ta 6 0 0 0 1 1 2 A R Ta 0 0 1 0 1 A R Ad 0 1 1 0 0 0 0 2 A R Ad 1 0 0 1 1 1 1 0 5 TR Ad 0 1 0 1 0 0 0 2 Ar Ad 7 0 0 0 1 0 1 A R Ta 0 0 1 0 1 A R Ad 0 0 0 0 0 0 1 1 A R Ad 0 0 0 1 1 1 1 1 5 TR Ta 1 1 1 1 0 1 0 5 TR Ad 8 1 1 0 1 0 3 TR Ta 0 1 1 1 3 TR Ad 0 0 0 0 0 0 1 1 A R Ad 0 0 1 1 1 1 1 0 5 TR Ta 1 1 1 1 1 1 0 6 TR Ta 9 0 0 0 1 0 1 A R Ta 0 0 1 0 1 A R Ad 0 1 1 1 1 0 1 5 TR Ad 0 0 0 1 1 1 0 0 3 A R Ad 0 0 0 1 0 0 0 1 AR Ad

(16)

10 1 1 1 0 1 4 TR Ad 1 1 1 0 3 TR Ta 0 0 1 0 0 0 0 1 A R Ad 1 0 1 1 1 1 1 0 6 TR Ad 1 1 1 1 1 1 0 6 TR Ta 11 1 1 1 0 1 4 TR Ta 0 0 1 0 1 A R Ad 0 0 1 0 0 0 1 2 A R Ad 1 0 0 1 1 1 1 1 5 TR Ad 1 1 1 1 1 0 0 5 TR Ta 12 1 1 0 1 1 4 TR Ta 0 0 1 0 1 A R Ad 0 1 1 1 0 0 1 4 TR Ta 0 0 0 1 1 0 0 0 2 A R Ad 0 1 0 1 0 0 0 2 AR Ad 13 0 1 1 1 1 4 TR Ad 0 0 1 0 1 A R Ta 0 0 1 0 0 0 1 2 A R Ad 0 1 0 1 1 1 1 0 5 TR Ad 1 1 0 1 0 1 1 5 TR Ad 14 0 1 1 1 1 4 TR Ad 1 1 1 0 3 TR Ad 0 0 1 0 0 0 1 2 A R Ta 0 0 0 1 1 1 0 0 3 A R Ta 0 1 0 0 1 1 1 4 TR Ad 15 0 1 1 1 1 4 TR Ta 1 1 1 0 3 TR Ta 0 0 1 0 0 0 1 2 A R Ad 0 0 1 1 1 1 1 1 6 TR Ad 1 1 1 1 1 1 0 6 TR Ta K pl

(17)

FAKTOR RISIKO DI KAPAL DECK T o tal n ilai Kateg o ri Vek to r KMR AWAK KAPAL T o tal n ilai Kateg o ri Vek to r KAMAR MANDI/TOILET T o tal n ilai Kateg o ri Vek to r DAPUR T o tal n ilai Kateg o ri Vek to r GUD PERS MAKANAN T o tal n ilai Kateg o ri Vek to r No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian 1 2 3 4 5 1 2 3 4 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7

Nilai Nilai Nilai Nilai Nilai

16 0 1 1 1 1 4 TR Ta 0 0 1 0 1 A R Ad 0 0 1 0 0 0 1 2 A R Ad 0 0 0 1 1 0 0 1 3 AR Ad 0 1 1 1 0 0 0 3 AR Ta 17 1 1 1 1 1 5 TR Ta 0 0 0 0 0 A R Ad 0 0 0 0 0 0 1 1 A R Ad 0 0 0 1 1 0 0 0 2 AR Ad 0 1 0 0 0 0 0 1 AR Ad 18 1 0 1 1 1 4 TR Ta 0 1 1 1 3 TR Ad 0 1 1 1 1 0 1 5 TR Ad 0 0 0 1 0 1 0 1 3 AR Ad 0 0 1 1 0 0 0 2 AR Ad 19 1 1 0 1 0 3 TR Ta 1 1 0 1 3 TR Ta 0 1 1 1 1 1 1 6 TR Ta 1 1 0 1 1 1 1 0 6 TR Ta 0 1 0 1 0 0 0 2 AR Ad 20 1 0 1 1 1 4 TR Ad 0 0 1 1 1 A R Ad 0 0 1 0 0 0 1 2 A R Ad 0 0 0 1 0 1 1 0 3 AR Ad 1 1 1 1 0 1 0 5 TR Ad 21 1 1 0 1 1 4 TR Ta 0 0 1 0 1 A R Ta 0 0 1 0 0 0 0 1 A R Ta 0 0 0 1 1 1 0 0 3 AR Ta 1 1 0 0 0 0 0 2 AR Ad 22 0 1 1 1 1 4 TR Ta 1 1 1 1 4 TR Ta 0 0 1 0 0 0 1 2 A R Ta 1 0 1 1 1 1 1 1 7 TR Ta 0 0 0 0 0 0 0 0 AR Ta 23 0 1 1 1 0 3 TR Ta 0 0 1 0 1 A R Ta 1 1 1 1 1 0 1 6 TR Ta 0 0 0 1 1 1 0 0 3 AR Ta 1 1 0 1 0 0 0 3 AR Ad 24 0 1 1 1 1 4 TR Ad 1 0 0 0 1 A R Ta 0 0 1 0 0 0 1 2 A R Ta 0 0 0 1 0 1 1 0 3 AR Ad 0 0 0 0 1 1 1 3 AR Ad 25 1 1 0 0 1 3 TR Ad 0 0 1 0 1 A R Ad 0 0 0 0 0 0 1 1 A R Ad 0 0 0 1 1 0 1 0 3 AR Ta 0 1 0 0 1 1 0 2 AR Ad 26 1 0 1 0 1 3 TR Ad 0 0 1 0 1 A R Ad 0 0 1 0 0 0 1 2 A R Ad 0 0 0 1 1 1 0 0 3 AR Ad 0 1 0 0 0 1 0 2 AR Ad 27 0 1 1 1 0 3 TR Ta 0 0 1 0 1 A Ad 0 0 1 0 1 0 1 3 A Ad 1 0 1 1 1 1 0 1 6 TR Ta 0 0 0 1 1 0 1 3 AR Ad

(18)

R R 28 1 0 1 0 1 3 TR Ad 0 0 1 0 1 A R Ad 1 1 1 0 1 0 1 5 TR Ad 0 0 0 1 1 1 0 0 3 AR Ad 0 1 1 0 0 0 0 2 AR Ad 29 1 1 0 1 0 3 TR Ta 0 1 0 0 1 A R Ad 0 0 1 0 0 0 1 2 A R Ad 0 0 0 1 0 0 1 1 3 AR Ad 0 0 0 1 0 0 0 1 AR Ad 30 0 1 1 1 0 3 TR Ad 0 1 1 1 3 TR Ad 0 0 1 0 1 0 1 3 A R Ad 0 0 0 0 1 1 0 0 2 AR Ad 1 1 0 0 0 0 0 2 AR Ad

(19)

Kp l

FAKTOR RISIKO DI KAPAL DECK Total n ilai Kateg o ri Vek to r KMR AWAK KAPAL T o tal n ilai Kateg o ri Vek to r KAMAR MANDI/TOILET T o tal n ilai Kateg o ri Vek to r DAPUR Total n ilai Kateg o ri Vek to r GUD PERS MAKANAN T o tal n ilai Kateg o ri Vek to r No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian 1 2 3 4 5 1 2 3 4 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7

Nilai Nilai Nilai Nilai Nilai

31 0 0 1 1 1 3 TR Ta 1 0 1 1 3 TR Ad 0 0 1 0 0 0 1 2 A R Ad 1 0 0 1 1 1 1 0 5 TR Ad 0 0 0 0 1 0 1 2 AR Ta 32 1 0 1 1 1 4 TR Ta 1 0 0 0 1 A R Ta 0 0 1 0 0 0 1 2 A R Ad 0 1 0 1 1 1 1 0 5 TR Ta 0 0 0 0 0 0 1 6 AR Ta 33 0 1 1 1 0 3 TR Ta 0 0 1 0 1 A R Ad 1 1 1 1 1 1 1 7 TR Ad 1 1 0 1 1 1 0 0 5 TR Ta 1 1 0 1 0 0 0 3 AR Ta 34 1 1 0 1 0 3 TR Ta 1 1 1 0 3 TR Ad 0 0 0 0 0 0 1 6 A R Ad 0 0 0 1 1 1 0 0 3 TR Ad 0 0 0 0 0 0 0 0 AR Ad 35 0 0 1 1 1 3 TR Ta 0 0 1 0 1 A R Ad 0 1 1 0 0 0 1 3 A R Ad 0 0 1 1 1 1 1 0 5 TR Ad 0 1 0 1 0 0 0 2 AR Ad 36 1 1 1 1 0 4 TR Ad 0 0 0 1 1 A R Ta 0 0 1 0 0 0 1 2 A R Ad 1 0 1 1 1 1 1 1 7 TR Ta 0 0 0 0 0 0 0 0 AR Ta 37 1 0 1 1 1 4 TR Ta 0 0 1 0 1 A R Ta 0 0 1 0 0 0 0 1 A R Ad 0 0 0 1 1 1 0 0 3 A R Ad 0 1 1 1 0 0 0 3 AR Ta 38 0 1 1 1 1 4 TR Ad 1 0 0 0 1 A R Ta 0 1 1 0 0 0 0 2 A R Ad 0 0 0 1 1 1 0 0 3 A R Ad 1 1 0 0 0 0 0 2 AR Ta 39 0 0 1 1 1 3 TR Ta 0 0 0 1 1 A R Ad 0 0 1 0 0 0 0 1 A R Ad 0 0 0 1 1 1 0 0 3 A R Ad 0 1 0 1 0 0 0 2 AR Ad

(20)

40 1 1 1 1 0 4 TR Ta 1 0 0 0 1 A R Ad 1 1 1 1 1 1 1 7 TR Ad 0 0 0 1 1 1 0 0 3 A R Ad 1 1 0 0 0 0 0 2 AR Ad 41 1 0 1 1 0 3 TR Ad 1 0 0 0 1 A R Ta 0 1 1 1 0 0 1 4 TR Ad 0 0 0 1 1 1 0 0 3 A R Ad 1 1 0 0 0 0 0 2 AR Ad 42 0 1 0 1 1 3 TR Ta 0 1 0 0 1 A R Ad 1 0 1 0 0 0 0 2 A R Ad 0 0 0 1 1 1 0 0 3 A R Ad 0 1 1 0 0 0 0 2 AR Ad 43 1 0 1 1 1 4 TR Ta 1 0 0 0 1 A R Ad 0 0 1 0 0 0 0 1 A R Ad 1 0 1 1 1 1 1 0 5 TR Ta 1 0 1 0 0 0 1 3 AR Ad 44 1 1 0 1 0 3 TR Ta 0 1 0 0 1 A R Ad 0 1 1 1 0 0 0 3 A R Ad 0 0 0 1 0 1 1 0 3 A R Ad 0 1 0 1 0 0 0 2 AR Ad 45 1 0 0 1 1 3 TR Ta 0 1 0 1 3 TR Ta 0 1 1 0 1 1 0 4 TR Ad 0 1 1 0 0 0 0 1 3 A R Ta 0 1 1 0 0 0 0 2 AR Ad

(21)

Kp l

FAKTOR RISIKO DI KAPAL DECK Total n ilai Kateg o ri Vek to r KMR AWAK KAPAL T o tal n ilai Kateg o ri Vek to r KAMAR MANDI/TOILET T o tal n ilai Kateg o ri Vek to r DAPUR Total n ilai Kateg o ri Vek to r GUD PERS MAKANAN T o tal n ilai Kateg o ri Vek tor No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian No Komponen Penilaian 1 2 3 4 5 1 2 3 4 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7

Nilai Nilai Nilai Nilai Nilai

46 1 0 0 1 1 3 TR Ad 0 0 1 0 1 A R Ta 1 0 0 1 1 1 1 5 TR Ta 0 1 1 1 0 1 0 1 5 TR Ad 0 0 0 1 0 0 0 1 AR Ta 47 1 0 0 1 1 3 TR Ta 1 0 0 0 1 A R Ta 1 0 0 0 1 1 1 4 TR Ta 0 1 1 0 0 0 0 1 3 AR Ta 0 0 0 0 1 0 1 2 AR Ta 48 1 1 1 1 0 4 TR Ad 0 0 1 0 1 A R Ad 1 0 0 1 1 1 1 5 TR Ta 0 0 0 1 1 1 0 0 3 AR Ad 0 1 1 0 0 0 1 3 AR Ad 49 1 1 0 1 0 3 TR Ad 0 0 0 1 1 A R Ad 1 0 0 1 1 1 1 5 TR Ta 0 0 1 0 0 0 0 1 3 AR Ta 0 0 0 1 0 0 0 1 AR Ad 50 1 1 1 1 0 4 TR Ad 0 0 1 0 1 A R Ta 1 1 1 1 0 0 0 4 TR Ta 0 0 1 0 0 0 1 1 3 AR Ta 0 0 0 1 0 0 0 1 AR Ad 51 1 1 1 0 1 4 TR Ta 0 1 0 0 1 A R Ta 1 1 1 1 1 1 1 7 TR Ta 0 0 1 1 1 0 1 1 5 AR Ad 1 1 0 0 0 0 0 2 AR Ad 52 1 1 0 1 0 3 TR Ad 0 1 0 0 1 A R Ta 0 0 1 0 0 0 1 2 A R Ad 1 1 0 1 1 1 1 0 6 TR Ad 1 1 1 0 0 0 0 3 AR Ad 53 0 0 1 1 1 3 TR Ta 0 0 1 0 1 A R Ad 0 1 1 1 1 0 1 5 TR Ta 0 0 0 1 1 1 0 0 3 AR Ta 0 1 0 1 0 0 0 2 AR Ad 54 1 1 1 1 0 4 TR Ta 0 0 1 0 1 A R Ad 0 1 1 0 0 0 0 2 A R Ad 0 1 1 0 0 0 0 0 2 AR Ad 0 0 0 1 1 0 1 3 AR Ad

(22)

Ket :- AR (Ada Risiko)

- TR (Tidak ada risiko)

- Ad (Ada)

(23)

Frequencies

deck 7 13.0 13.0 13.0 47 87.0 87.0 100.0 54 100.0 100.0 res iko

tidak ada resiko Total

Valid

Frequency Percent Valid Percent

Cumul ative Percent vektordeck 18 33.3 33.3 33.3 36 66.7 66.7 100.0 54 100.0 100.0 ada tidak ada Total Valid

Frequency Percent Valid Percent

Cumul ative Percent

kamar awak kapal

38 70.4 70.4 70.4

16 29.6 29.6 100.0

54 100.0 100.0

res iko

tidak ada resiko Total

Valid

Frequency Percent Valid Percent

Cumul ative Percent vektorkamarawak 37 68.5 68.5 68.5 17 31.5 31.5 100.0 54 100.0 100.0 ada tidak ada Total Valid

Frequency Percent Valid Percent

Cumul ative Percent toilet 35 64.8 64.8 64.8 19 35.2 35.2 100.0 54 100.0 100.0 res iko

tidak ada resiko Total

Valid

Frequency Percent Valid Percent

Cumul ative Percent

(24)

vektoroilet 35 64.8 64.8 64.8 19 35.2 35.2 100.0 54 100.0 100.0 ada tidak ada Total Valid

Frequency Percent Valid Percent

Cumul ative Percent dapur 32 59.3 59.3 59.3 22 40.7 40.7 100.0 54 100.0 100.0 res iko

tidak ada resiko Total

Valid

Frequency Percent Valid Percent

Cumul ative Percent vektordapur 40 74.1 74.1 74.1 14 25.9 25.9 100.0 54 100.0 100.0 ada tidak ada Total Valid

Frequency Percent Valid Percent

Cumul ative Percent

gudang persediaan makanan

37 68.5 68.5 68.5

17 31.5 31.5 100.0

54 100.0 100.0

res iko

tidak ada resiko Total

Valid

Frequency Percent Valid Percent

Cumul ative Percent vektorgudang 38 70.4 70.4 70.4 16 29.6 29.6 100.0 54 100.0 100.0 ada tidak ada Total Valid

Frequency Percent Valid Percent

Cumul ative Percent

(25)

Crosstabs

deck * keberadaan vektor

Crosstab 6 1 7 4.8 2.2 7.0 85.7% 14.3% 100.0% 11.1% 1.9% 13.0% 31 16 47 32.2 14.8 47.0 66.0% 34.0% 100.0% 57.4% 29.6% 87.0% 37 17 54 37.0 17.0 54.0 68.5% 31.5% 100.0% 68.5% 31.5% 100.0% Count

Ex pec ted Count % within deck % of Total Count

Ex pec ted Count % within deck % of Total Count

Ex pec ted Count % within deck % of Total res iko

tidak ada resik o deck

Total

ada tidak ada keberadaan vektor Total Chi-Square Tests 1.102b 1 .294 .377 1 .539 1.248 1 .264 .412 .281 1.082 1 .298 54 Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fis her's Exact Test Linear-by-Linear As soci ation N of Valid Cases Value df As ymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)

Computed only for a 2x2 table a.

2 cells (50.0%) have expected count less than 5. The mi nimum expected count is 2. 20. b. Risk Estimate 3.0 97 .34 3 27 .985 1.3 00 .90 2 1.8 73 .42 0 .06 5 2.6 89 54 Od ds Ratio for d eck

(re siko / tida k ad a res iko) Fo r coh ort keberadaa n vektor = ada

Fo r coh ort keberadaa n vektor = tida k ad a N o f Va lid Cases

Va lue Lo wer Up per

95 % Co nfid ence Interval

(26)

kamar awak kapal * keberadaan vektor

Crosstab 30 8 38 26.0 12.0 38.0 78.9% 21.1% 100.0% 55.6% 14.8% 70.4% 7 9 16 11.0 5.0 16.0 43.8% 56.3% 100.0% 13.0% 16.7% 29.6% 37 17 54 37.0 17.0 54.0 68.5% 31.5% 100.0% 68.5% 31.5% 100.0% Count

Ex pec ted Count % within kamar awak k apal % of Total Count

Ex pec ted Count % within kamar awak k apal % of Total Count

Ex pec ted Count % within kamar awak k apal % of Total res iko

tidak ada resik o kamar awak

kapal

Total

ada tidak ada keberadaan vek tor

Total Chi-Square Tests 6.466b 1 .011 4.938 1 .026 6.229 1 .013 .022 .014 6.347 1 .012 54 Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fis her's Exact Test Linear-by-Linear As soci ation N of Valid Cases Value df As ymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)

Computed only for a 2x2 table a.

0 cells (.0%) have expected count less than 5. The m inim um expected count is 5. 04. b. Risk Estimate 4.8 21 1.3 70 16 .972 1.8 05 1.0 11 3.2 21 .37 4 .17 6 .79 4 54 Od ds Ratio for kama r

awak kapa l (res iko / tid ak a da re siko )

Fo r coh ort kebe rada an ve ktor = ad a

Fo r coh ort kebe rada an ve ktor = tida k ad a N of Va lid Case s

Va lue Lo wer Up per

95 % Confid ence Interva l

(27)

toilet * keberadaan vektor

Crosstab 30 5 35 24.0 11.0 35.0 85.7% 14.3% 100.0% 55.6% 9.3% 64.8% 7 12 19 13.0 6.0 19.0 36.8% 63.2% 100.0% 13.0% 22.2% 35.2% 37 17 54 37.0 17.0 54.0 68.5% 31.5% 100.0% 68.5% 31.5% 100.0% Count Expected Count % within toilet % of Total Count Expected Count % within toilet % of Total Count Expected Count % within toilet % of Total res iko

tidak ada resiko toi let

Total

ada tidak ada keberadaan vektor Total Chi-Square Tests 13.636b 1 .000 11.464 1 .001 13.557 1 .000 .000 .000 13.384 1 .000 54 Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fis her's Exact Test Linear-by-Linear As soci ation N of Valid Cases Value df As ymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)

Computed only for a 2x2 table a.

0 cells (.0%) have expected count less than 5. The m inim um expected count is 5. 98. b. Risk Estimate 10.286 2.724 38.837 2.327 1.272 4.256 .226 .094 .546 54 Odds Ratio for toilet

(resiko / tidak ada res iko) For cohort keberadaan vektor = ada

For cohort keberadaan vektor = tidak ada N of Valid Cases

Value Lower Upper

95% Confidence Interval

(28)

dapur * keberadaan vektor

Crosstab 28 4 32 21.9 10.1 32.0 87.5% 12.5% 100.0% 51.9% 7.4% 59.3% 9 13 22 15.1 6.9 22.0 40.9% 59.1% 100.0% 16.7% 24.1% 40.7% 37 17 54 37.0 17.0 54.0 68.5% 31.5% 100.0% 68.5% 31.5% 100.0% Count Expected Count % within dapur % of Total Count Expected Count % within dapur % of Total Count Expected Count % within dapur % of Total res iko

tidak ada resiko dapur

Total

ada tidak ada keberadaan vektor Total Chi-Square Tests 13.120b 1 .000 11.049 1 .001 13.393 1 .000 .001 .000 12.877 1 .000 54 Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fis her's Exact Test Linear-by-Linear As soci ation N of Valid Cases Value df As ymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)

Computed only for a 2x2 table a.

0 cells (.0%) have expected count less than 5. The m inim um expected count is 6. 93. b. Risk Estimate 10.111 2.624 38.965 2.139 1.273 3.594 .212 .079 .564 54 Odds Ratio for dapur

(resiko / tidak ada res iko) For cohort keberadaan vektor = ada

For cohort keberadaan vektor = tidak ada N of Valid Cases

Value Lower Upper

95% Confidence Interval

(29)

gudang persediaan makanan * keberadaan vektor

Crosstab 29 8 37 25.4 11.6 37.0 78.4% 21.6% 100.0% 53.7% 14.8% 68.5% 8 9 17 11.6 5.4 17.0 47.1% 52.9% 100.0% 14.8% 16.7% 31.5% 37 17 54 37.0 17.0 54.0 68.5% 31.5% 100.0% 68.5% 31.5% 100.0% Count

Ex pec ted Count % within gudang persediaan makanan % of Total

Count

Ex pec ted Count % within gudang persediaan makanan % of Total

Count

Ex pec ted Count % within gudang persediaan makanan % of Total

res iko

tidak ada resik o gudang persediaan

makanan

Total

ada tidak ada keberadaan vek tor

Total Chi-Square Tests 5.297b 1 .021 3.944 1 .047 5.131 1 .023 .030 .025 5.199 1 .023 54 Pearson Chi-Square Continuity Correctiona Likelihood Ratio Fis her's Exact Test Linear-by-Linear As soci ation N of Valid Cases Value df As ymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided)

Computed only for a 2x2 table a.

0 cells (.0%) have expected count less than 5. The m inim um expected count is 5. 35. b. Risk Estimate 4.078 1.189 13.991 1.666 .979 2.835 .408 .191 .873 54 Odds Ratio for gudang

persediaan makanan (resiko / tidak ada res iko) For cohort keberadaan vektor = ada

For cohort keberadaan vektor = tidak ada N of Valid Cases

Value Lower Upper

95% Confidence Interval

(30)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(31)

Va riables not in the Equa tion 1.102 1 .294 1.102 1 .294 deck Variables Overall Statistic s St ep 0 Sc ore df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

1.2 48 1 .26 4 1.2 48 1 .26 4 1.2 48 1 .26 4 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 66.025a .023 .032 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 5 because param eter estim ates changed by les s than .001. a. Classification Tablea 37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.130 1.123 1.013 1 .314 3.097 .343 27.985 -2.922 2.182 1.793 1 .181 .054 deck Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: deck. a.

(32)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(33)

Va riables not in the Equa tion 6.466 1 .011 6.466 1 .011 ktotk Variables Overall Statistic s St ep 0 Sc ore df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

6.2 29 1 .01 3 6.2 29 1 .01 3 6.2 29 1 .01 3 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 61.044a .109 .153 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 4 because param eter estim ates changed by les s than .001. a. Classification Tablea 30 7 81.1 8 9 52.9 72.2 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.573 .642 6.002 1 .014 4.821 1.370 16.972 -2.895 .942 9.444 1 .002 .055 ktotk Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: ktotk. a.

(34)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(35)

Va riables not in the Equa tion 13.636 1 .000 13.636 1 .000 km tot Variables Overall Statistic s St ep 0 Sc ore df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

13 .557 1 .00 0 13 .557 1 .00 0 13 .557 1 .00 0 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 53.716a .222 .312 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 5 because param eter estim ates changed by les s than .001. a. Classification Tablea 30 7 81.1 5 12 70.6 77.8 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

2.331 .678 11.822 1 .001 10.286 2.724 38.837 -4.123 1.077 14.657 1 .000 .016 kmtot Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: kmtot. a.

(36)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(37)

Va riables not in the Equa tion 13.120 1 .000 13.120 1 .000 datotk Variables Overall Statistic s St ep 0 Sc ore df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

13 .393 1 .00 0 13 .393 1 .00 0 13 .393 1 .00 0 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 53.880a .220 .308 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 5 because param eter estim ates changed by les s than .001. a. Classification Tablea 28 9 75.7 4 13 76.5 75.9 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

2.314 .688 11.299 1 .001 10.111 2.624 38.965 -4.260 1.154 13.633 1 .000 .014 datotk Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: datotk. a.

(38)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(39)

Va riables not in the Equa tion 5.297 1 .021 5.297 1 .021 gtotk Variables Overall Statistic s St ep 0 Sc ore df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

5.1 31 1 .02 3 5.1 31 1 .02 3 5.1 31 1 .02 3 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 62.142a .091 .127 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 4 because param eter estim ates changed by les s than .001. a. Classification Tablea 29 8 78.4 8 9 52.9 70.4 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.406 .629 4.995 1 .025 4.078 1.189 13.991 -2.693 .935 8.300 1 .004 .068 gtotk Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: gtotk. a.

(40)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(41)

Va riables not in the Equa tion 6.466 1 .011 13.636 1 .000 13.120 1 .000 5.297 1 .021 21.556 4 .000 ktotk km tot datotk gtotk Variables Overal l Statisti cs St ep 0 Sc ore df Si g.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

24 .286 4 .00 0 24 .286 4 .00 0 24 .286 4 .00 0 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 42.987a .362 .509 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 6 because param eter estim ates changed by les s than .001. a. Classification Tablea 36 1 97.3 7 10 58.8 85.2 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.229 .795 2.392 1 .122 3.418 .720 16.228 1.538 .801 3.683 1 .055 4.655 .968 22.387 1.677 .847 3.923 1 .048 5.348 1.018 28.108 1.466 .833 3.097 1 .078 4.330 .846 22.153 -9.206 2.501 13.544 1 .000 .000 ktotk kmtot datotk gtotk Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: ktotk, kmtot, datotk, gtotk. a.

(42)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(43)

Variables not in the Equation 13.636 1 .000 13.120 1 .000 5.297 1 .021 20.192 3 .000 km tot datotk gtotk Variabl es Overall Statistics Step 0 Score df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

21 .827 3 .00 0 21 .827 3 .00 0 21 .827 3 .00 0 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 45.446a .332 .467 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 5 because param eter estim ates changed by les s than .001. a. Classification Tablea 33 4 89.2 6 11 64.7 81.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.434 .783 3.351 1 .067 4.194 .904 19.463 1.905 .819 5.414 1 .020 6.721 1.350 33.453 1.390 .809 2.948 1 .086 4.014 .821 19.612 -7. 574 1.993 14.437 1 .000 .001 kmtot datotk gtotk Constant St ep 1a

B S. E. W ald df Sig. Ex p(B) Lower Upper 95.0% C.I. for EXP(B)

Variable(s) ent ered on step 1: k mtot, datotk , gtotk. a.

(44)

Logistic Regression

Case Processing Summary

54 100.0 0 .0 54 100.0 0 .0 54 100.0 Unweighted Casesa

Included in Anal ysis Mis sing Cases Total

Selected Cases

Unselected Cas es Total

N Percent

If weight is in effect, s ee class ification table for the total number of cases.

a.

De pe n de n t V a ria ble Enc odi ng 0 1 Or igina l Va lue

ad a

tid ak a da

Int erna l Va lue

Block 0: Beginning Block

Classification Tablea,b

37 0 100.0 17 0 .0 68.5 Observed ada tidak ada keberadaan vektor Overall Percentage Step 0

ada tidak ada

keberadaan vektor Percentage Correct Predicted

Constant is included in the model. a.

The cut value is .500 b.

Variables in the Equation

-.778 .293 7.045 1 .008 .459 Constant

St ep 0

(45)

Variables not in the Equation 13.636 1 .000 13.120 1 .000 17.912 2 .000 km tot datotk Variabl es Overall Statistics Step 0 Score df Sig.

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

18 .735 2 .00 0 18 .735 2 .00 0 18 .735 2 .00 0 Ste p Blo ck Mo del Ste p 1

Ch i-sq uare df Sig .

Model Summary 48.538a .293 .412 Step 1 -2 Log likelihood

Cox & Snel l R Square

Nagelkerke R Square

Es timation term inated at iteration num ber 5 because param eter estim ates changed by les s than .001. a. Classification Tablea 33 4 89.2 7 10 58.8 79.6 Observed ada tidak ada keberadaan vektor Overall Percentage Step 1

ada tidak ada

keberadaan vektor Percentage Correct Predicted

The cut value is .500 a.

Variables in the Equation

1.703 .743 5.251 1 .022 5.492 1.279 23.573 1.694 .754 5.052 1 .025 5.441 1.242 23.831 -5.768 1.455 15.713 1 .000 .003 kmtot datotk Constant Step 1a

B S.E. Wald df Sig. Exp(B) Lower Upper 95.0% C.I.for EXP(B)

Variable(s) entered on s tep 1: kmtot, datotk. a.

Gambar

Gambar 1:  Dapur Kapal
Gambar 4: Gudang Persediaan Makanan di Kapal
Gambar 5: Gudang Persediaan Makanan di Kapal
Gambar 7: Toilet di Kapal
+5

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