Lampiran 1. Data Angka Kematian Ibu Tahun 2013 dan Faktor-Faktor yang Diduga MempengaruhinyaNoKabupaten /Kotayx1x2x3x4x5x6x7

1Kab.Cilacap1.14799.7494.1100.0092.7586.2974.1518.72

2Kab.Banyumas1.262100.0094.3497.5892.38133.778.3417.66

3Kab.Purbalingga1.71098.9696.1999.9296.6290.5982.6921.24

4Kab.Banjarnegara1.16597.5990.2494.8886.47124.878.6630.84

5Kab.Kebumen0.736100.00100.11100.1197.7790.8879.5211.93

6Kab.Purworejo0.72897.9393.67100.0087.91118.783.914.96

7Kab.Wonosobo0.84399.5398.7199.9986.42112.780.9834.19

8Kab.Magelang0.57999.8198.1897.4389.26136.179.9417.94

9Kab.Boyolali0.95193.0394.5193.9292.46110.976.1719.25

10Kab.Klaten1.241100.0096.7196.6891.2697.4682.325.48

11Kab.Sukoharjo0.988100.0097.72100.0090.1888.0081.0310.79

12Kab.Wonogiri1.055100.00100.00100.0092.11100.0087.7221.54

13Kab.Karanganyar0.67990.5395.6495.2090.1168.1979.4612.51

14Kab.Sragen1.05899.97100.71100.0092.9795.876.8620.21

15Kab.Grobogan1.020100.2795.6795.3088.4694.4981.4234.95

16Kab.Blora1.19199.52100.00100.0092.689.2981.6731.36

17Kab.Rembang1.90292.6694.494.4280.81101.688.2330.58

18Kab.Pati1.57195.3297.8497.7292.2791.3481.8024.70

19Kab.Kudus1.33494.3199.5099.5094.1887.2779.2916.68

20Kab.Jepara1.24399.9995.4896.5394.0793.9981.1626.14

21Kab.Demak1.165100.00100.00100.0097.41101.8076.0519.89

22Kab.Semarang1.20295.4689.3499.0990.7114.582.2116.02

23Kab.Temanggung0.62599.97100.00100.0092.41142.379.3824.15

24Kab.Kendal1.28893.4176.4599.2593.1671.6179.0710.01

25Kab.Batang1.12295.41101.36101.6093.66120.781.0828.13

26Kab.Pekalongan1.832102.81102.53100.1598.8132.383.8921.64

27Kab.Pemalang1.11098.1397.53100.0090.2990.2283.8229.20

28Kab.Tegal1.46695.7094.8296.6686.39104.976.1619.24

29Kab.Brebes1.84492.6497.3599.1390.3398.7384.432.57

30Kota Magelang0.55699.94100.00100.0095.692.7381.276.83

31Kota Surakarta0.302100.0098.66100.0097.7399.680.296.09

32Kota Salatiga2.79299.9695.4999.0293.46100.0082.7510.95

33Kota Semarang1.07198.3398.47102.9695.99100.0076.467.92

34Kota Pekalongan0.990100.0098.6097.8594.6698.8185.368.91

35Kota Tegal1.770100.00100.00100.0095.89106.973.4915.94

Keterangan :y = Angka Kematian Ibu ( per 100.000 kelahiran hidup)x1 = Persentase persalinan yang dilakukan dengan bantuan tenaga medis x2 = Persentase ibu hamil yang mendapatkan Tablet Fe1 x3 = Persentase ibu hamil melaksanakan program K1 x4 = Persentase ibu hamil melaksanakan program K4 x5 = Persentase ibu hamil berisiko tinggi/komplikasi yang ditanganix6= Persentase peserta KB aktifx7 = Rata-rata wanita kawin dengan umur perkawinan pertama di bawah usia 17 tahun

Lampiran 2. Program GCV Spline Linier 1 Knot dengan Software R

GCV1=function(data){data=as.matrix(data)p=length(data[,1])q=length(data[1,])m=ncol(data)-1F=matrix(0,nrow=p,ncol=p)diag(F)=1nk= length(seq(min(data[,2]),max(data[,2]),length.out=50))knot=matrix(ncol=m,nrow=nk)for (i in (1:m)){for (j in (1:nk)){a=seq(min(data[,(i+1)]),max(data[,(i+1)]),length.out=50)knot[j,i]=a[j]}}knot=knot[2:(nk-1),]a1=nrow(knot)knot1=rbind(rep(NA,2))for ( j in 1:(a1-1)){for (k in (j+1):a1){xx=cbind(knot[j,i],knot[k,i])knot1=rbind(knot1,xx)}}aa=rep(1,p)data1=matrix(ncol=m,nrow=p)data2=data[,2:q]GCV=rep(NA,a1)Rsq=rep(NA,a1)for (i in 1:a1){for (j in 1:m){for (k in 1:p){if (data[k,(j+1)]