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6. DAFTAR PUSTAKA

Ahalya, N., Ramachandra, T.V., Kanamadi, RD., 2003, Biosorption of Heavy Metal, Research Journal Of Chemical And Environment 7(4): 71-79

Badan Standarisasi Nasional 2009. SNI 01-3548-1994. Sardin Media Saus Tomat dalam Kaleng.

Badan Standarisasi Nasional 2004. SNI 06-6989.6-2004. Air dan air limbah – Bagian 6: Cara uji tembaga (Cu) dengan Spektrofotometri Serapan Atom (SSA)-nyala.

Badan Standarisasi Nasional 2004. SNI 06-6989.8-2004. Air dan air limbah – Bagian 8: Cara uji timbal (Pb) dengan Spektrofotometri Serapan Atom (SSA)-nyala.

Badan Standarisasi Nasional 2009. SNI 06-6989.16-2009. Air dan air limbah – Bagian 16: Cara uji kadmium (Cd) dengan Spektrofotometri Serapan Atom (SSA)-nyala.

Badan Standarisasi Nasional 2009. SNI 7387: 2009. Batas Maksimum Cemaran Logam Berat dalam Pangan.

Baker, R. A. 1994. Pectin. Carbohydrate Polymer. 12: 133-138

Charlena, 2004. Pencemaran Logam Berat Timbal (Pb) dan Cadmium (Cd) pada Sayur-sayuran. Falsafah Sains. Program Pascasarjana S3 IPB.

Constenla, D., Ponce, A. and Lozano, J. 2002. Effect of pomace drying on apple pectin. LWT-Food Science and Technology 35:216-221.

Darmono, 1995. Logam Berat dalam Sistem Biologi. UI Press. Jakarta.

Day, R. A, A L.Underwood (1999), Analisis Kimia Kuantitatif, Edisi Kelima, Erlangga, Jakarta.

Ebdon, L. (1982), An Introduction to Atomic Absorption Spectroscopy-A self teaching Approach, Heyden and Sons, London

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Endress, H. U. 1991. Nonfood uses of pectin. Pages 251-268 in: The chemistry and technology of pectin. H. W. Reginald, ed. Academic Press, Inc.: San Diego, CA.

Hall, D. 2010. Eat More Dietary Fiber. http://www.wellsource.info/wn/hc-fiber.pdf . Diunduh 01 Februari 2015

Herbstreith, K dan G. Fox. 2005. Pectin.

http://www.herbstreithfox.de/pektin/forschung und entwicklung

/forschung_entwicklung04a.htm . Diunduh 12 November 2015

Hoejgard, S. (2004). Pectin Chemistry, Funcionality, and Applications.

http://www.cpkelco.com/Ptalk/ptalk.htm. Diunduh 15 November 2015

Igwe, J.C and Abia, A.A., 2006, A Bioseparation Process for Removing Heavy Metals from Waste Water Using Biosorbents, African Journal of Biotechnology Vol.5(12), 1167-1179.

Kurniasari, L., 2010, “Pemanfaatan Mikroorganisme dan Limbah pertanian Sebagai Bahan Baku Biosorben Logam Berat” Majalah Ilmiah Fakultas Teknik Universitas Wahid Hasyim Semarang, MOMENTUM, ISSN 0216 7395, Volume 6 Nomor 2, 5-8

Li, B. W., K. W. Andrews and P. R. Pehrsson. (2002). Individual Sugars, Soluble, and Insoluble Dietary Fiber Contents of 70 High Consumption Foods.

http://www.nalusda.gov/fnic/foodcomp/Data/Other/jfca15_715-723.pdf . Diuduh 30 September 2015.

Lubis, E.S; Lely Sari Lubis; Julia Reveny. (2012). Pelembab Kulit Alami Dari Sari Buah Jeruk Bali [Citrus maxima (Burm.) Osbeck]. Journal of Pharmaceutics and Pharmacology, 2012 Vol. 1 (2): 104 -111. Universitas Sumatera Utara. Indonesia.

Mata, YN., Blazquez, ML., Ballester, A., Gonzalez, F., Munoz, JA., 2009, Sugar-beet Pulp Pectin Gels as Biosorbent for Heavy Metals: Preparation and Determination of Biosorption and Desorption Characteristics, Chemical Engineering Journal 150, 289-301.

McCready, R.M. 1965. Extraction of the Pectin from the Citrus Peels and Preservation of Pectin Acid. Method Carbohydrate Chem, 8:167-170.

Nawirska, A. and M. K. Sniewska. (2005). Dietary Fibre Fractions from Fruit and

Vegetable Processing Waste.

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39

Palar, H. 1995. Pencemaran dan etoksiologi logam berat. Jakarta: Rineka Cipta.

Park, H. J., M. Kim, S. M. Shim and G. H. Kim. (2005). Adsorption of Kadmium and

Lead by Various Cereals from Korea.

http://www.springerlink.com/content/t4u2784718n2g42g/. Diunduh 05 September 2015.

Puteri, D. N. 2012. Penyerapan Logam Kadmium (Cd) oleh Fraksi Terlaut dan Tidak Terlarut Biji Jinten Hitam (Nigela Sativa L): Pengaruh Ukuran Partikel dan Konsentrasi yang Berbeda. Skripsi. Universitas Katolik Soegijapranata, Semarang.

Rao, K.S., M. Mohapatra, S. Anandz dan P. Venkateswarlu. (2010). Review on Cadmium Removal from Aqueous Solutions. International Journal of Engineering, Science and Technology Vol. 2, No. 7, 2010, pp 81-103. Diunduh 16 Desember 2015.

Rolin, C. 2002. Commercial pectin preparations. Pages 222-241 in: Pectins and their manipulation. G. B. Seymour and J. P. Knox, eds. CRC Press: Boca Raton, FL.

Sharma, N.; and J. Singh. (2008). Removal Zn2+ ions from aqueous solution using rice (Oryza Sativa) Husk in Sequential Bed Adsorption Coloumn. Panjab University. Chandigarh. 12 Desember 2015.

Schiewer, S & Patil, B.S. 2007. Pectin-rich fruit wastes as biosorbents for heavy metal removal: Equilibrium and kinetics. Bioresour. Technol. (2007), doi:10.1016/j.biortech.2007.03.060. University of Alaska Fairbanks. United States.

Sudarmaji., Mukono, J., & Corie, P. I. (2006). Toksikologi Logam Berat B3 dan Dampaknya Terhadap Kesehatan. Jurnal Kesehatan Lingkungan, 2(2), 129 -142.

Soelarso, B. 1997. Budidaya Apel. Kanisius. Yogyakarta

Torresday, J.L.G., Rosa, G., Videa, J.R.P., 2004, Use of Phytofiltration Technologies in The Removal of Heavy Metals: A review, Pure Appl. Chem. Vol. 76, No. 4, 801-813.

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USDA. (2011). USDA National Nutrient Database for Standard Reference, Release 24. USDA. Download 29 September 2015.

Widaningrum, M. dan Suismono. (2007). Bahaya Kontaminasi Logam Berat dalam

Sayuran dan Alternatif Pencegahan Cemarannya.

http://pascapanen.litbang.deptan.go.id/media/publikasi/bulletin/2007_3.pdf . Diunduh 28 Maret 2015.

Wirakusumah, E.S. 1995. Buah dan Sayur untuk Terapi. Penebar Swadaya. Jakarta.

Wong, W.W., Abbas F.M.A., Liong, M.T., Azhar, M.E., 2008, Modification of Durian Rind Pectin for Improving Biosorbent Ability, International Food Research Journal 15(3), 363-365.

Zafar, F., M. Idrees and Z. Ahmed. (2005). Use of Apple By - Products in Poultry Rations of Broiler Chicks in Karachi. http://pps.org.pk/PJP/1-1-2/zafar.pdf . Diunduh 20 Agustus 2015.

Zhang, N., C. Huang and S. Ou. (2011). In Vitro Binding Capacities of Three Dietary Fibers and Their Mixture for Four Toxic Elements, Cholesterol, and Bile Acid.

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41

7. LAMPIRAN

7.1. Hasil Normalitas Data Penyerapan terhadap Logam Berat

7.1.1.Hasil Penentuan Waktu Kontak (Metode Non Teabag)

a. Penyerapan Kadmium

b. Penyerapan Tembaga

Te sts of Normality

,292 3 . ,923 3 ,463

,219 3 . ,987 3 ,781

,276 3 . ,942 3 ,537

,219 3 . ,987 3 ,780

,219 3 . ,987 3 ,780

,175 3 . 1,000 3 1,000

,247 3 . ,969 3 ,664

,219 3 . ,987 3 ,780

,320 3 . ,883 3 ,334

waktu_kontak 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam fraksi_tidak_terlarut

fraksi_terlarut

total_cd

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

Lilliefors Significance Correction a.

Te sts of Normality

,254 3 . ,964 3 ,634

,292 3 . ,923 3 ,463

,196 3 . ,996 3 ,877

,219 3 . ,987 3 ,780

,175 3 . 1,000 3 ,999

,175 3 . 1,000 3 1,000

,327 3 . ,872 3 ,302

,259 3 . ,959 3 ,613

,334 3 . ,860 3 ,267

waktu_kontak 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam fraksi_tidak_terlarut

fraksi_terlarut

total_Cu

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

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c. Penyerapan Timbal

7.1.2.Penelitian Utama

a. Penyerapan Kadmium

Te sts of Normality

,191 3 . ,997 3 ,899

,301 3 . ,912 3 ,425

,282 3 . ,936 3 ,510

,175 3 . 1,000 3 1,000

,175 3 . 1,000 3 ,999

,175 3 . 1,000 3 1,000

,237 3 . ,976 3 ,705

,286 3 . ,931 3 ,493

,176 3 . 1,000 3 ,979

waktu_kontak 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam 1 jam 3 jam 5 jam fraksi_tidak_terlarut fraksi_terlarut total_Pb

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

Lilliefors Significance Correction a.

Te sts of Normality

,193 9 ,200* ,884 9 ,174

,222 9 ,200* ,838 9 ,055

,224 9 ,200* ,861 9 ,098

,226 9 ,200* ,849 9 ,072

,146 9 ,200* ,928 9 ,463

,249 9 ,115 ,878 9 ,151

,201 9 ,200* ,889 9 ,197

,168 9 ,200* ,922 9 ,409

,202 9 ,200* ,882 9 ,164

,200 9 ,200* ,882 9 ,165

,142 9 ,200* ,938 9 ,558

,212 9 ,200* ,857 9 ,089

jenis_pektin pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil fraksi_tidak_terlarut

fraksi_terlarut

total_Cd

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

Te sts of Normality

,211 12 ,145 ,865 12 ,057

,175 12 ,200* ,871 12 ,068

,181 12 ,200* ,904 12 ,176

,159 12 ,200* ,911 12 ,221

,183 12 ,200* ,879 12 ,086

,169 12 ,200* ,898 12 ,149

,197 12 ,200* ,886 12 ,103

,233 12 ,071 ,869 12 ,063

,234 12 ,068 ,861 12 ,050

waktu_kontak 30 menit 60 menit 90 menit 30 menit 60 menit 90 menit 30 menit 60 menit 90 menit fraksi_tidak_terlarut fraksi_terlarut total_Cd

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

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43

b. Penyerapan Tembaga

7.2. Tabel Deskriptif Statistik Penyerapan Logam Berat

a. Penyerapan Kadmium

Te sts of Normality

,255 9 ,094 ,837 9 ,053

,233 9 ,174 ,843 9 ,062

,186 9 ,200* ,890 9 ,199

,183 9 ,200* ,915 9 ,350

,114 9 ,200* ,970 9 ,897

,193 9 ,200* ,902 9 ,265

,115 9 ,200* ,963 9 ,829

,199 9 ,200* ,872 9 ,128

,245 9 ,128 ,854 9 ,082

,189 9 ,200* ,876 9 ,143

,165 9 ,200* ,920 9 ,396

,152 9 ,200* ,934 9 ,519

jenis_pektin pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil pektin fresh pektin oven 5 jam pektin oven 10 jam pektin komersil fraksi_tidak_terlarut

fraksi_terlarut

total_Cu

Statistic df Sig. Statistic df Sig.

Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

Te sts of Normality

,190 12 ,200* ,867 12 ,060

,159 12 ,200* ,909 12 ,209

,188 12 ,200* ,890 12 ,119

,111 12 ,200* ,964 12 ,833

,201 12 ,197 ,863 12 ,054

,090 12 ,200* ,967 12 ,872

,156 12 ,200* ,928 12 ,364

,247 12 ,041 ,870 12 ,065

,190 12 ,200* ,873 12 ,072

waktu_kontak 30 menit 60 menit 90 menit 30 menit 60 menit 90 menit 30 menit 60 menit 90 menit fraksi_tidak_terlarut

fraksi_terlarut

total_Cu

Statistic df Sig. Statistic df Sig. Kolmogorov-Smirnova Shapiro-Wilk

This is a lower bound of the true significance. *.

Lilliefors Significance Correction a.

De scriptiv e Statistics

36 81,21 209,01 147,5850 34,53136

36 9,01 156,82 85,4017 43,31627

36 122,39 357,26 232,9867 69,49059

36 fraksi_tidak_terlarut

fraksi_terlarut total_Cd Valid N (listwise)

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b. Penyerapan Tembaga

7.3. Hasil Uji Beda Penyerapan Logam Berat

7.3.1.Penyerapan Kadmium

a. Penyerapan Kadmium oleh Fraksi Tidak Terlarut

b. Penyerapan Kadmium oleh Fraksi Terlarut

De scriptiv e Statistics

36 18,57 149,23 83,2975 36,65794

36 1,03 55,24 19,3656 14,06866

36 51,08 154,52 102,6633 29,89601

36 fraksi_tidak_terlarut

fraksi_terlarut total_Cu Valid N (listwise)

N Minimum Maximum Mean Std. Deviation

Cd_fraksi_tidak_terlarut Duncana 3 84,2333 3 107,1633 3 113,2933 3 128,4967 3 137,6800 3 152,6033 3 154,5200 3 156,3033 3 163,9300 3 175,8433 3 189,6300 3 207,3233

1,000 1,000 1,000 1,000 1,000 ,172 1,000 1,000 1,000 1,000

variasi komersial 30 menit komersial 60 menit fresh 90 menit fresh 60 menit oven 10 jam 30 menit komersial 90 menit oven 10 jam 60 menit fresh 30 menit oven 5 jam 90 menit oven 5 jam 30 menit oven 10 jam 90 menit oven 5 jam 60 menit Sig.

N 1 2 3 4 5 6 7 8 9 10

Subset for alpha = .05

Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 3,000. a. Cd_fraksi_te rlarut Duncana 3 11,9667 3 28,9367 3 41,0233 3 62,1567 3 75,3033 3 83,3300 3 92,4500 3 92,5300 3 113,7033 3 125,4400 3 145,9967 3 151,9833

1,000 1,000 1,000 1,000 1,000 1,000 ,976 1,000 1,000 1,000 1,000 variasi

komersial 90 menit komersial 60 menit komersial 30 menit oven 10 jam 90 menit fresh 90 menit oven 10 jam 60 menit oven 10 jam 30 menit fresh 60 menit fresh 30 menit oven 5 jam 90 menit oven 5 jam 60 menit oven 5 jam 30 menit Sig.

N 1 2 3 4 5 6 7 8 9 10 11

Subset for alpha = .05

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45

7.3.2.Penyerapan Tembaga

a. Penyerapan Tembaga oleh Fraksi Tidak Terlarut

b. Penyerapan Tembaga oleh Fraksi Terlarut

Cu_fraksi_tidak_terlarut Duncana

3 21,4700

3 45,9500

3 48,4300

3 65,0667

3 67,3033

3 68,7033

3 85,9933

3 88,6700

3 109,3967

3 123,0967

3 130,7133

3 144,7767

1,000 ,429 ,277 ,394 1,000 1,000 1,000 1,000 variasi

komersial 60 menit komersial 30 menit oven 10 jam 30 menit fresh 30 menit komersial 90 menit oven 5 jam 60 menit oven 10 jam 60 menit oven 5 jam 30 menit oven 10 jam 90 menit fresh 60 menit oven 5 jam 90 menit fresh 90 menit Sig.

N 1 2 3 4 5 6 7 8

Subset for alpha = .05

Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 3,000. a.

Cu_fraksi_te rlarut

Duncana

3 3,2000

3 3,2867

3 8,2733

3 10,0600

3 10,2067

3 17,2400

3 17,3500

3 24,8500

3 25,3333

3 25,3833

3 34,7133

3 52,4900

,967 ,392 ,958 ,813 1,000 1,000

variasi fresh 90 menit oven 5 jam 60 menit komersial 30 menit oven 5 jam 90 menit fresh 60 menit oven 10 jam 90 menit fresh 30 menit oven 10 jam 60 menit komersial 90 menit oven 5 jam 30 menit oven 10 jam 30 menit komersial 60 menit Sig.

N 1 2 3 4 5 6

Subset for alpha = .05

Means for groups in homogeneous subsets are displayed. Uses Harmonic Mean Sample Size = 3,000.

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7.4. Tabel ANOVA Penyerapan Logam Berat

7.4.1.Penyerapan Kadmium

a. Penyerapan Kadmium oleh Fraksi Tidak Terlarut

b. Penyerapan Kadmium oleh Fraksi Terlarut

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: fraksi_tidak_terlarut

,219 11 24 ,994

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

Design: Intercept+jenis_pektin+waktu_ kontak+jenis_pektin * waktu_kontak a.

Te sts of Betwee n-Subje cts Effects

Dependent Variable: fraksi_tidak_terlarut

41511,501a 11 3773,773 406,119 ,000

784127,960 1 784127,960 84384,954 ,000

24161,254 3 8053,751 866,715 ,000

1661,499 2 830,750 89,402 ,000

15688,748 6 2614,791 281,394 ,000

223,015 24 9,292

825862,475 36

41734,515 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

R Squared = ,995 (Adjusted R Squared = ,992) a.

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: fraksi_terlarut

,670 11 24 ,752

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

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47

c. Total Kadmium yang Terserap

Te sts of Betwee n-Subje cts Effects

Dependent Variable: fraksi_terlarut

65419,341a 11 5947,213 568,331 ,000

262564,008 1 262564,008 25091,314 ,000

59309,219 3 19769,740 1889,249 ,000

5888,256 2 2944,128 281,349 ,000

221,866 6 36,978 3,534 ,012

251,144 24 10,464

328234,493 36

65670,485 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

R Squared = ,996 (Adjusted R Squared = ,994) a.

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: total_Cd

1,527 11 24 ,186

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

Design: Intercept+jenis_pektin+waktu_ kontak+jenis_pektin * waktu_kontak a.

Te sts of Betwee n-Subje cts Effects

Dependent Variable: total_Cd

168590,049a 11 15326,368 869,723 ,000

1954180,326 1 1954180,326 110893,6 ,000

149096,791 3 49698,930 2820,258 ,000

1601,544 2 800,772 45,441 ,000

17891,714 6 2981,952 169,216 ,000

422,931 24 17,622

2123193,306 36

169012,980 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

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7.4.2.Penyerapan Tembaga

a. Penyerapan Tembaga oleh Fraksi Tidak Terlarut

b. Penyerapan Tembaga oleh Fraksi Terlarut

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: fraksi_tidak_terlarut

,453 11 24 ,914

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

Design: Intercept+jenis_pektin+waktu_ kontak+jenis_pektin * waktu_kontak a.

Te sts of Betwee n-Subje cts Effects

Dependent Variable: fraksi_tidak_terlarut

46690,815a 11 4244,620 297,574 ,000

249785,046 1 249785,046 17511,482 ,000

21656,494 3 7218,831 506,085 ,000

16912,118 2 8456,059 592,822 ,000

8122,203 6 1353,701 94,903 ,000

342,338 24 14,264

296818,199 36

47033,153 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

R Squared = ,993 (Adjusted R Squared = ,989) a.

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: fraksi_terlarut

,347 11 24 ,964

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

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49

c. Total Tembaga yang Terserap

Te sts of Betwee n-Subje cts Effects

Dependent Variable: fraksi_terlarut

6769,928a 11 615,448 93,768 ,000

13500,891 1 13500,891 2056,955 ,000

2256,483 3 752,161 114,597 ,000

536,090 2 268,045 40,839 ,000

3977,355 6 662,893 100,996 ,000

157,525 24 6,564

20428,343 36

6927,452 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

R Squared = ,977 (Adjusted R Squared = ,967) a.

Le vene's Te st of Equality of Error Variance sa

Dependent Variable: total_Cu

,314 11 24 ,975

F df1 df2 Sig.

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

Design: Intercept+jenis_pektin+waktu_ kontak+jenis_pektin * waktu_kontak a.

Te sts of Betwee n-Subje cts Effects

Dependent Variable: total_Cu

30655,126a 11 2786,830 106,694 ,000

379431,360 1 379431,360 14526,564 ,000

11215,970 3 3738,657 143,135 ,000

11852,836 2 5926,418 226,893 ,000

7586,319 6 1264,387 48,407 ,000

626,876 24 26,120

410713,362 36

31282,002 35

Source

Corrected Model Intercept jenis_pektin waktu_kontak jenis_pektin * waktu_kontak Error

Total

Corrected Total

Type III Sum

of Squares df Mean Square F Sig.

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