SlideShare a Scribd company logo
1 of 15
Download to read offline
CONFERENCE COMMITTEE
Coordinator : Yandra Arkeman, Dr. M.Eng
(Departement of Agroindustrial Technology, IPB)
Co-Coordinator: Nastiti Siswi Indrasti, Prof. Dr. Ir.
(Head of Departemen of Agroindustrial Technology, IPB)
International Experts:
1. Kenneth De Jong, Prof.
(George Mason University, Fairfax, Virginia, USA)
2. Kim Bryceson, Prof.
(School of Agriculture and Food Science , University of Queensland, Australia)
3. Haruhiro Fujita, Prof.
(Department of Information Systems, Niigata University for International and
Information Studies Japan)
4. Gajendran Kandamsany, Dr. (United Kingdom)
5. Noel Lindsay, Prof. (University of Adelaide, Australia)
Committee Members from IPB:
1. Kudang Boro Seminar, Prof.
(Departement of Mechanical & Bio-system Engineering, IPB)
2. Marimin, Prof.
(Departement of Agroindustrial Technology, IPB)
3. Endang Gumbira Said, Prof.
(Departement of Agroindustrial Technology, IPB)
4. Suprihatin, Prof.
(Secretary of Departement of Agroindustrial Technology, IPB)
5. Ono Suparno, Prof.
(Departement of Agroindustrial Technology, IPB)
6. Agus Buono, Dr.
(Head of Department of Computer Science, IPB)
PROCEEDINGS
2nd
International Conference on Adaptive and Intelligent Agroindustry (ICAIA)
September 16 – 17, 2013, IPB International Convention Center
Bogor – Indonesia
Organized by :
Departement of Agroindustrial Technology, Faculty of Agricultural Engineering and
Technology Bogor Agricultural University
George Mason University, Fairfax, Virginia, USA
Indonesian Agroindustry Association (AGRIN)
Bogor, Desember 2013
Frekwensi Terbitan : 1 Tahunan
Nomor ISSN : 2354-9041
i
WELCOMING ADDRESS
Prof. Dr. Ir. Nastiti Siswi Indrasti
Head of Agroindustrial Technology Department
Faculty of Agricultural Engineering and Technology
Bogor Agricultural University
On
Second International Conference on Adaptive and Intelligence Agroindustry (2nd
ICAIA)
Bogor, September, 16 – 17, 2013
Assalamu’alaikum Warohmatullahi Wabarokatuh
In the name of Allah, the beneficent and the merciful,
Distinguish Guest, Ladies and Gentlemen
Let me first thank you all for accepting the invitation to participate in this 2nd
International Conference on
Adaptive and Intelligence Agroindustry (ICAIA). In particular I would like to thank Rector of IPB (Institut
Pertanian Bogor/Bogor Agricultural University) Prof. Herry Suhardiyanto for supporting this event as part
of the series academic event in celebrating the 50th
Anniversary of Bogor Agricultural University.
In fact, the idea of organizing this conference was the continuation of the International Workshop on
Computational Intelligence and Supercomputing Technology for Adaptive Agroindustry held by the
Department of Agroindustrial Technology, Bogor Agricultural University last year.
Professor Kenneth A De Jong from George Mason University, US has successfully conducted joint
international research with some staff from the Department of Agroindustrial Technology and Department
of Computer Science, Bogor Agricultural University. The research aims to develop an integrated and
intelligent system (namely SMART-TIN©) for the design of adaptive agroindustrial system in order to
achieve a sustainable agroindustry that can mitigate global climate change and at the same time secure food,
water, energy and natural medicine supply.
We are certainly proud to have been able to assemble this event in IPB, Bogor. The range of participants
and audience at this conference is precisely something I would like to stress. The main goal of the
conference is to provide an effective forum for distinguished speakers, academicians, professional and
practitioners coming from universities, research institutions, government agencies and industries to share or
exchange their ideas, experience and recent progress in Adaptive and Intelligent Agroindustry.
Distinguish Guest, Ladies and Gentlement,
Global climate change is the most challenging problems for us today and in the near future. This global
change in our climate can lead to the shortage of the food, water, bioenergy and natural medicine that will
affect the quality of human life. Many studies indicate that the threat of food, water, bioenergy and natural
medicine crisis due to global climate change still worries our society. This problem can be solved by the
development of agroindustry, i.e. an interrelated value chain entities from farming, to agro-processing
industry and then to the end-customers. In fact, the design of agroindustry is complex and involves many
factors and large data bases and more importantly, needs a good intelligence to process data and
information to good decisions. Therefore, the way to design and manage agroindustry should be improved
in order to meet the design objectives.
Agroindustries consume quite significant amount of energy on one side, on the other side they generate
sizable amount of industrial wastes and its utilization as a captive energy resource is a kind of potential.
Based on our study, a plywood industry with the production capacity of 200.000 m3
/year could generate 32
percentage of solid waste. If this amount of waste used as an energy alternative, it may result on the saving
of 131.037.768.597 rupiah per month. Similar to plywood industry, sugarcane industry with the production
capacity of 480 ton per hour could generate 154 ton per hour of waste (bagasse) and this amount of waste
contribute to the saving of energy consuming by 19.250 Kwh. Recent study we conducted, indicated that
cassava starch industry may contribute to a significant amount of waste. It has also potential usage as an
energy resource. Based on our study the conversion of its waste into energy will contribute to the saving of
energy usage of 4100 liter biogas per ton material.
The three industries mentioned is only examples of how potential the role of agroindustrial waste as an
alternative resource in replacing the conventional energy resource as its presence will be significantly
ii
reduced. The new, incremental energy contributions that can be obtained from waste biomass will depend
on future government policies, on the rates of fossils fuel depletion, and on extrinsic and intrinsic economic
factors, as well as the availability of specific residues in areas where they can be collected and utilized. All
of these factors should be in detail examined to evaluate the development of the industrial waste
contribution. Hope this conference will also discuss this issue in more detail as it is an important matter for
all of us. We should no more think just how to produce high value product but it is also necessarily
important how to keep our live in good quality by understanding following old saying…” only when the
last tree has been cut, only when the last fish has been angled, and only when the last river has been
polluted, then we realized that we could not eat money”.
I do not to take up any more of your time with these opening remarks. Let me simply thank you once again
for sharing your thoughts with us. Here’s wishing every success for the conference. May Allah bless all of
us.
Thank you for your kind attention,
Wassalamu’alaikum Warohmatullahi Wabarokatuh
iii
AGENDA of
2nd
International Conference on Adaptive and Intelligent Agroindustry
(ICAIA)
Time Activities Room
Day 1 (16 September 2013)
08.00 – 09.00
(60’)
Registration
09.00 – 10.00
(60’)
Opening Ceremony
 Welcoming Address: Prof. NastitiSiswiIndrasti (Head of Dept TIN,
Fateta, IPB)
 Conference Opening: Prof. HerrySuhardiyanto(Rector of IPB)
o ABET Certification announcement and short ceremony
o Launching International Double Degree Master Program in
Innovation and Technopreneurship in Cooperation with University
of Adelaide, Australia
o Soft-launching Master in Logistik Agroindustri (Agroindustrial
Logistics)
Ballroom
10.00 – 10.45
(45’)
Opening Speeches:
Prof. IrawadiJamaran (Agroindustry Guru, IPB: 25’)
Prof. Eriyatno (Industrial and System Engineering, IPB: 20’)
Ballroom
Session 1
10.45 – 11.15
(30’)
Keynote Speech Dr. YandraArkeman (IPB) Ballroom
11.15 – 12.00
(45’)
Keynote Speech Prof. Kenneth De Jong (George Mason University, USA) Ballroom
12.00 – 13.30
(90’)
Lunch Break
Session 2
13.30 – 15.15
(105’)
Moderator: Prof. EndangGumbiraSa’id (IPB)
Invited Speakers (1-4) (4 x 20 minutes)
Discussion (25 minutes)
Tentative Schedule: Prof. Kim Bryceson (Australia), Prof. SyamsulMa’arif
(IPB), Prof. KudangBoro Seminar (IPB), Prof. HaruhiroFujita (Japan)
Ballroom
15.15 – 15.45
(30’)
Break
15.45 – 17.30
(105’)
Moderator: Prof. Marimin (IPB)
Invited Speakers (5-8) (4 x 20 minutes)
Discussion (25 minutes)
Tentative Schedule: Dr. Gajendran (UK), Prof. Noel Lindsay (University of
Adelaide), Dr. KuncoroHartoWidodo (UGM), Prof. UtomoSarjonoPutro (ITB)
Ballroom
Day 2 (17 September 2013)
08.00 – 08.30
(30’)
Registration
08.30 – 10.15
(105’)
Moderator: Prof. KudangBoro Seminar (IPB)
Invited Speakers (9-12) (4 x 20 minutes)
Discussion (25 minutes)
Prof. Egum (IPB), Prof. Marimin (IPB), Dr. AgusBuono (IPB), Dr. HeruSukoco (IPB)
10.15 – 10.30
(15’)
Coffee Break
10.30 – 12.30
(120’)
Parallel Session 1
Moderator: Prof.
Fujita
(7 paper @ 15
minutes)
Discussion (15
minutes)
Parallel Session 2
Moderator: Prof. Ono Suparno
(7 paper @ 15 minutes)
Discussion (15 minutes)
Parallel Session
Moderator: Prof. Suprihatin
(7 paper @ 15 minutes)
Discussion (15 minutes)
iv
12.30 – 13.30
(60’)
Lunch Break
13.30 – 15.00
(90’)
Open Discussion (Open Forum) with Prof. Kenneth De Jong
Topic: Foundations and Applications of Genetic/Evolutionary Algorithms
Ballroom
15.00 – 15.30
(30’)
Conference Closing Ballroom
15.30 – 17.00
(90’)
Indonesian Agroindustry Association (AGRIN) National Congress
(PIC: Prof. Suprihatin)
Ballroom
17.00 – 17.45
(45’)
Refreshment and Closing of AGRIN National Congress Ballroom
v
CONTENT LIST
Conference Committee
Welcoming Address ….………………………………………………….…………….................. i
Agenda of 2nd
ICAIA 2013.............................................................................................................. iii
Content List …………..………………………………………………......……………................. v
A.  SMART-TIN© : An Integrated And Intelligent System For The Design Of
Adaptive Agroindustry (A Conceptual Framework) (Yandra Arkeman)
1‐9.
B.  GHG  Emission  Reduction  By  Waste  Cooking  Oil  Recycling  In  Environmental 
Partnership  Program  Of  Bogor  City  (Haruhiro  Fujita,  Atsushi  Yoshimoto, 
Katsuyuki Nakano,  Koji Okuhara, Noriaki Koide, Dadang Supriatna) 
10‐16.
C.  Challenge  of  Indonesian  Logistics  Infrastructure  for  Perishables  Products 
(Kuncoro Hartoto Widodo, Yandra Rahardian Perdana, Joewono Soemardjito) 
17‐28.
D.  Design Of Grouping Traditional Market  Distribution Using  Fuzzy Clustering And 
Design  of  Routing  of  Packaging  Cooking  Oil  From  Distribution  Center  To 
Traditional Market  Using Traveling Salesperson Problem– Genetic Algorithm in 
Indonesia  (Case‐Jakarta)  (Teja  Primawati  Utami,  Syamsul  Maarif,  Yandra 
Arkeman, Liesbetini Hartoto) 
29‐43.
E.  Determining the degree of product rightness at the conceptual stage:A Case of 
the Low Cost Green Car (Ade Febransyah, Fransisca Tharia) 
44‐53.
F.  Co‐Composting Process Of Bagasse And Sludge From Sugarcane  Industry With 
Influence Of Difference Initial C/N Value And Aeration (Andes Ismayana, Nastiti 
Siswi Indrasti, Tori Sane) 
54‐62.
G.  Analysis Of The Competitiveness Of The Agribusiness Sector Companies Using 
Porter's Five Forces (M. Hudori) 
63‐72.
H.  Design  And  Optimization  Of  Agro‐Scm  For  Food  And  Energy  Security  In 
Indonesia (Hoetomo Lembito, Kudang Boro Seminar, Nunung Kusnadi, Yandra 
Arkeman) 
73‐83.
I.  Construction Of Patchouli Oil’s Price In West Java : A Structural Equation Model 
(Isti Surjandari, Alan Dwi Wibowo, Erlinda Muslim, Nurwan Nugraha) 
84‐90.
J.  Optimization Vehicle Routing Problem With Cross Entropy Method And Branch 
& Bound Algorithm (Iwan Aang Soenardi, Budi Marpaung) 
91‐99.
K.  Design  And  Optimization  Of  Agro‐Scm  For  Food  And  Energy  A  Remote 
Monitoring System Of Broilers’ Behavior In A Multi‐Agent Broiler Closed House 
System (K.B. Seminar, R. Afnan, M. Solahudin, Supriyanto, A.K. Wijayanto, M.Z. 
Arifin, A. Fatikunnada) 
100‐112.
L.  Artificial Neural Network Model Based Capacitance Dielectric For Crackers Self‐
Life  Prediction  (Erna  Rusliana  Muhamaad  Saleh,  Erliza  Noor,  Taufik  Djatna, 
Irzaman) 
113‐121.
M.  Characterizing  Temporal  Dynamic  Of  Weather  Variability  To  Support  Decision 
Making  On  Weed  Control  (Rizky  Mulya  Sampurno,  Kudang  B.  Seminar,  Yuli 
Suharnoto, Mohamad Solahudin) 
122‐130.
vi
N.  Risk  Management  Model  in  Dairy  Product  Transportation  With  Fuzzy  Logic 
Approach (Winnie Septiani, Yandra Arkeman) 
131‐141.
O.  Strategy  to  Increase  Institutional  Capacity  of  Farmer  Groups  to  Support  the 
Transportation System Agroindustry Products (Zulfiandri, Yandra Arkeman) 
142‐156.
P.  Adsorption Of Carotenoid From Palm Oil Methyl Ester By Using Attapulgite And 
Synthetic Silica Magnesium As Adsorbent (Sapta Raharja, Prayoga Suryadarma, 
Zuni Fitriyantini) 
157‐163.
Q.  High Accuracy Agroindustry Environment Monitoring System Based on Photonic 
Crystal Sensor Network (Mamat Rahmat, Muhamad Azis, Erus Rustami, Wenny 
Maulina, Kudang Boro Seminar, Arief Sabdo Yuwono, Husin Alatas) 
164‐174.
R.  Study  on  Effect  ofTemperatureIncrease  on  the  Productivity  of  Methanefrom 
POME Fermentation (Sarono, E. Gumbira Said, Ono Suparno, Suprihatin, Udin 
Hasanudin) 
175‐180.
S.  The Design and Implementation of Geographic Information Systems to Support 
Food  and  Energy  Security  (Arif  Purnomo  Muji  Basuki,  Yandra  Arkeman, 
Musthofa) 
181‐191.
T.  Study Of White Crystal Sugar Distribution System In Indonesia (Suripto, Yandra 
Arkeman) 
192‐199.
U.  Corncob  Biodelignification  Process  Using  White  Rot  Fungi  (Liesbetini  Hartoto, 
Purwoko, Elis Nina Herliyana, Cucu Rina Purwaningrum) 
200‐212. 
V.  Color  Stability  of  Beet  Dyes  Label  During  Heating    (Endang  Warsiki,  Asih 
Setiautami) 
213‐219.
W  Precipitation  Classification  Using  LVQ  on  Dry  Season  Base  on  Global  Climate 
Indices Case Study in Indramayu District (Indra Kelana Jaya, Agus Buono, Yandra 
Arkeman) 
220‐225.
X.  Wood Identification Type By Using Support Vector Mechine‐Based Image (A.A. 
Gede Rai Gunawan, Sri Nurdiati, Yandra Arkeman) 
226‐232.
Y.  Fuzzy  Logic  Systems  and  Applications  in  Agro‐industrial  Engineering  and 
Technology (Marimin, Mushthofa) 
233‐241.
Z.  Adaptive  Learning  Model  of  Hypergame  by  using  Genetic  Algorithm:  an 
Application of Value Co‐creation in Service System (Case Study: Airline Service) 
(Santi Novani, Utomo Sarjono Putro) 
213
Color Stability of Beet (Beta vulgaris L.) Dyes Label During
Heating
Endang Warsiki
Department of Agroindustrial Technology, Faculty ofAgriculture Technology
Bogor Agriculture University
Fateta Building 2
nd
floor, Darmaga Campus Bogor 16658
Email: warsiki@yahoo.com.au
Asih Setiautami
Department of Agroindustrial Technology, Faculty ofAgriculture Technology
Bogor Agriculture University
Fateta Building 2
nd
floor, Darmaga Campus Bogor 16658
Email: warsiki@yahoo.com.au
ABSTRACT
The development of smart sensor in food packaging was continuously performed. The development of
which is being done, that is a smart label with the form of film which given additional color as an
indicator. The purpose of this research is to study and develop smart packaging by addition of natural
dyes of beet (B. vulgaris L. var cicla L.) as well as finding the best drying techniques for label producing.
This label was produced form chitosan and chitosan - polyvinyl alcohol (PVA). Two form (chitosan and
chitosa-PVA) films were compared to its properties. Three drying techniques were carried out in this
experiment, i.e. oven blower, oven vacuum and freeze drying. A result showed that films made from
chitosan-PVA has the appearance of a more clear, shiny, and looks more refined than the indicators of
chitosan films. The use of beet extract as dyes of color indicator did not allowed for the drying in
conjunction with the film solution. Natural dye staining technique that can still be used as an indicator
dye in smart packaging was freeze drying in temperature of -10o
C. Indicators with natural dyes of beet
responded through changes in color of the storage temperature. Color changes that occur in the film made
from chitosan had a vulnerable time longer in the retention time than films made from chitosan-PVA.
Keywords: Smart label, color stability, heat, beet dyes
1. INTRODUCTION
Currently a new breakthrough in the world of packaging has been resulted a
smart and intelligent packaging. The packaging serves as an indicator/sensor, wherein
the indicator can be placed internally and externally the package. This indicator will
communicate and inform the quality of the packaged product to the consumer directly
and continuously monitor the quality and safety of the product during handing and
storing. The development is being done in the form of smart packaging films or label
with the addition of color as an indicator. Researches on smart indicator in the form of
label with an indicator dye were previously done. For example, research have been
conducted to detects the decay of tilapia fillet [1]. It was also [2,3] with a color indicator
label made from synthetic and natural dye to detect the freshness of cutted pine apple
[4]. Research [5] had developed the color changing of label made from Erpa (Aerva
sanguinolenta) leaf extract. Furthermore, the label was applied for pasteurized milk and
gave a color changing of red when the milk was fresh and yellow when the milk was off
quality [6].
Generally, the indicator changing in color was driven by temperature [3,5], pH
[1,7,8], microorganism growth [9] and gas/volatile compound [10]. The color of dyes
used in this indicator was made from either synthetic or natural dyes. Synthetic dyes
gave a better quality in color, resist to water and high temperature, but it will change
214
due to food pH changing [2,4]. On the other hand, instead of pH, natural dyes was
sensitive to temperature thus producing label using this natural dye need a proper
technique especially when the process involving on drying. Brushing method was one
of the techniques for producing color indicator label with erpa leaf dye [3]. Off course,
this technique was time and cost consuming and difficult to be applied as a commercial
process. It is therefore finding other technique of drying for producing color indicator
label (with natural dye) is much needed to improve the quality of color as well as good
in mechanical and physical properties of the label. Thus the purpose of this research is
to study the color stability of smart indicator label producing from beet (Beta vulgaris)
extract as color dye and chitosan as well as PVA as a matrix of the label. Beet or known
as beetroot or garden beet is a vegetable which is rich with purple or red purple
betasianin pigment. This pigment has been using as natural dye for vary Indonesia
tradition food and beverage such as “pepe” and “lapis” cake. Exploring the beet dyes
for color indicator of a smart label is very interesting to be studied.
2. RESEARCH METHOD
2.1. Materials and Apparatus
The materials and apparatus used in this study were chitosan, Polyvinyl Alcohol
(PVA), 1% glacial acetic acid, plasticizer of glycerin, distilled water, beet extract, and
70% alcohol. While the apparatus were oven blower, oven vacuum, free dryer, hot plate
and magnetic stirrer, thermometer, volumetric puppet, glass plate with the size of 20 cm
× 20 cm × 1 cm, analytical balance, micrometer screw and Chromameter.
2.2. Method
2.2.1. Beet extraction
Beet was peeled and crushed in a blender and was given an additional water with
the ratio (w/w) of 2 (part of beet) and 1 (part of water). Beet extract was filtered by filter
paper 100 µm sizes. The red purple dye extract was collected and used to make an
indicator label.
2.2.2. Chitosan – PVA solution
Preparation of a mixture of chitosan and PVA films (polyvinyl alcohol) based on
research conducted Warsiki et al (2013). In this study, chitosan - acetate 1 % of 48 mL,
PVA 1% of 48 mL, and beet dye of 4 mL was mixed in a solution. In making the film
sheet was performed in three phases, namely, PVA solution preparation, chitosan
solution preparation, and the mixing the two of the solutions. At first, 3 gr of PVA was
dissolved in distilled water at temperature 80ºC, and then homogenized with a stirrer
until it was dissolved perfectly. Then weighing of 3 gr of chitosan and dissolved in 50
mL of 1% glacial acetic acid. The next stage was mixed the two solutions in the breaker
glass. Comparisons were used of 6:4 (PVA solution: chitosan solution).
2.2.3. Indicator film coloring and drying
215
The film solution of 100 mL was carefully poured in a glass plate with size of 20
cm × 20 cm and then dried. Firstly, it mixed the beet dye into the film solution and then
dried. There were three drying technique was used i.e. oven, vacuum and freeze dying.
Based on the results of the study [4], indicator of natural dye colors were very easy to
change color when heated thus a drying method with low temperature could be applied
to improve the label color quality. These colors were measured by Chromameter and the
data was tested by parametric statistical using Paired Samples t test. The test of t was
conducted to determine whether there was a difference between the three techniques of
drying.
2.2.4. Color stability observing
Color changing of the film during the heating process was observed. It was also
observed color stability during the storage in different temperature. A label was made
by cutting the color indicator film in a size of 3 cm × 3 cm and then stored in five
different places, i.e. room temperature (± 27ºC), the temperature of the refrigerator (3-
5ºC), the temperature of the freezer (-5 - (-10)°C), dark space, and exposure to sunlight.
The color changes observed visually every hour until the color of film was definitely
constant or no more in color changing. Time needed for the color stain in the film was
defined as Retention Time.
3. RESULT AND DISCUSSION
3.1. Chitosan and Chitosan –PVA film
The film was produced from the two materials has different visual appearance
(see Figure 1 and 2). A Chitosan film sheet was yellowish while the chitosan-PVA film
sheets was colored translucent, shiny, and looks smoother surface. In addition, chitosan-
PVA films look more like a sheet of plastic. This was because the PVA was included
into the plastic material. However, both have the same flexibility. Both films of chitosan
and chitosan-PV were easy to be separated from the glass plate and not easily torned.
(a) (b)
Figure 1. Indicator film before coloring : (a) kitosan, dan (b) kitosan-PVA
216
(a) (b)
Figure 2.. Indicator film after coloring : (a) chitosan, dan (b) chitosan-PVA
3.2. Color stability of indicator film during heating
Three drying techniques were tested to find the appropriate drying in order to
obtain a stable color for film indicator. As [4] finding, a film beet colored change during
the process of drying in an oven for 24 hours from purplish red to green. In this
research, oven blowers has also resulted on changing in color form purplish red after
drying become brown for 24 hours at a temperature of 50º C. Then vacuum drying has
been done by colored beet subsequently poured into a glass plate and dried by vacuum
drying for 3 hours. This technique was also resulted on changing color of the film to
yellow-green. While freeze-drying, the film changed from red -purple into pink sheet
film after 6 h. This means, for drying the film indicator with freeze drying should be
taken less 6 hours to produce dried film. Figure 3 show the changing of color of
indicator film using the three techniques of drying.
(i)
(a) (b) (c)
(ii)
Figure 2. Film : (i) before drying and (ii) after drying with : (a) oven blower, (b)
freeze ; and (c) oven vacuum
217
Heat has degraded dye due to its sensitive. Betalain/betasianin, the pigment pf
beet dye stability mainly was influenced by temperature. According to [11], the most
stable betasianin color temperature was below 40ºC. According to [12] temperature and
duration of heating have caused decomposition and changes in the structure of the
pigment resulting in bleaching. It was also the nature of the beet betalain affected by
pH, light, air, temperature and water activity [13]. When temperatures were used less
than 50ºC, the film drying process will require a longer time thus the two drying
techniques were not suitable for use in drying films with dye indicator beet. However,
dry the film using freeze dryer looked good for the performance of film as long as the
temperature was kept in low or it might be in minus.
Color changing using freeze-drying was not so high compared to blower and
vacuum drying, although there was still more pale red color. This was because of
betalain pigment has a high solubility in water [14] so that when it was dried in freeze,
the dye was bound in a matrix of water and difficult to leach out. According to [15],
freeze-drying has different working principle of vacuum drying. Freeze drying will
draw the components of the material to be dried, including the physically bound water
will also be interested while evaporative drying vacuum dried material components so
that only the free water that has a great chance to evaporate and remain water that is
physically and chemically bonded on it. Then freeze drying produced texture on film
sheets more fibrous - fiber, not smooth or flat as in the vacuum drying and drying
blower.
The three of drying techniques were resulted on the changing of color of the film
unless only a small changing in freeze drying. Data analysis using Paired Sample Test
was displayed in Table 1. It was shown that a value with significance level of 0.05 with
data (n) of 3 has performed and obtained the degrees of freedom (df) equal to 2. T table
value obtained was equal to 4.303. Based on this calculation, the t value calculation was
smaller that t table thus it means there was a real relationship (significant) between the
indicator color films before and after drying.
Table 1. Result of t test.
Drying
technique
t test
RemarkT
calculation
T table
Blower 1.073(a)
4.303
N
0.339(b)
N
-14.359(c)
N
Vaccum -0.721(a)
N
3.698(b)
N
-12.016(c)
N
Freeze -3.696(a)
N
2.237(b)
N
-0.215(c)
n
3.3.3. Color stability of the film during storage
Indicator film was produced by drying in a freezer (-10±1o
C) to produce more
stable color on that film. A label was made by cutting the sheet film into small pieces (3
218
cm × 3 cm) and then store in five different conditions, i.e. at room temperature, the
temperature of 3-5ºC, the temperature of -5 - (-10)°C, dark room, and sun exposure.
Visual observation was performed every hour until the film has no changes in color.
The results were shown Table 2.
Tabel 2. Result of the retention time of color in the film
Storage condition
Chitosan
(h)
Chitosan-PVA
(h)
3-5ºC 30 13
-5-(-10)ºC 30 13
26-27ºC 14 5
Dark room 14 5
Sun exposure 3 2
Based on the above observations (Table 2) it can be seen that the film made from
chitosan has a color changing in longer time than the indicator color films made from
chitosan and PVA mixture. In addition, the temperature observations were selected for
use in the main study was the temperature of 3-5 º C, the temperature of -5 - (-10) ° C,
and exposure to the sun. This was because of the film color indicator of beet was
expected to be applied as a sensor or indicator of products that are sensitive to
temperature.
Indicator chitosan-PVA films was stored in a refrigerator has been resulted on
color changing after 13 hours of storage, which was from purplish red became dark
purple. At room temperature and dark room, the color changed after 5 hours of storage,
i.e. from purplish red to red, while the sun exposure changed after storage for 2 hours
(pale purplish red to red and hardened). In meanwhile, the film made from chitosan
indicator, the color changed after 3 hours of storage on sun-exposed films, from
purplish red to orange. Film stored in the fridge (refrigerator and freezer) changed after
30 hours of storage (purplish red to red), and 14 hours of storage for the film stored in
room temperature and dark room dark (purplish red to red-orange).
4. CONCLUSION AND RECOMMENDATION
4.1. Conclusion
Films made of chitosan - PVA had the appearance of a more clear, shiny, and
more refined than the chitosan films. The use of dyes as a color indicator of beet, did
not allow for drying in conjunction with the film solution. Freeze drying with
temperature of -10o
C was the best technique for color indicator label producing. The
film indicator with natural dyes responded by changing the color of the storage
temperature. Color changes occurred in the chitosan -based films had vulnerable longer
than films made from chitosan - PVA.
4.2. Recommendation
It was the need of other study of natural dyes that was more resistant to
temperature and light. It was also needs further research on the application of this smart
label for food product.
219
5. REFERENCES
1. Hasnedi YW. 2009. The development of smart packaging with a sensor from
chitosan-asetat, polyvinyl alcohol and bromthymol blue indicator to detect the
deterioration of tilapia fillet. [Bachelor Thesis]. Bogor Agricultural University,
Bogor.
2. Warsiki E, Putri CW. 2012. Colored Label Indicator Using Natural And Synthetic
Dye). E-Journal Agroindustri Indonesia 1 (2): 82 – 87.
3. Warsiki E, Nofrida R, Yuliasih I. 2013. The utilization color extract from Erpa
(Aerva sanguinolenta) leaf for smart label color indicator. Indonesian Journal of
Agricultural Sciences (In Press).
4. Putri CDW. 2012. Smart packaging of color indicator to detect the freshness of cut
pineapple during storage. [Bachelor Thesis]. Bogor Agricultural University, Bogor.
5. Nofrida R, Warsiki E, Yuliasih I. 2013. The effect of storage temperature on the
Erpa Leaf (Aerva sanguinolenta) color indicator smart label. Journal of
Agroindustrial Technology (In Press).
6. Warsiki E, Nofrida R, Yuliasih I. 2013. Smart thermometer for quality assurance.
105 Innovations Indonesia. Jakarta: Business Innovation Center P18-19.
7. Hong SI, Park WS. 2000. Use of color indicators as an active packaging system for
evaluating kimchi fermentation. Journal of Food Engineering. 46 (1) :67-72.
8. Rukchon, C. 2011. Volatile compounds as quality indicators of fresh chicken and
possible application in intelligent packaging. The 12th
ASEAN Food Conference
2011, 16-18 June, 2011. BITEC Bangna, Bangkok, Thailand.
9. Lestari IA. 2013. Smart label producing for Escherichia coli detector. [Bachelor
Thesis]. Bogor Agricultural University, Bogor.
10. Kuswandi, B. Jayus, Restyana, A. Abdullah, A. L.Y.H. Ahmad, M. 2012. A Novel
Colorimetric Food Package Label For Fish Spoilage Based On Polyaniline Film.
Journal of.Food control. 25(1): 184-189
11. Pranutikagne EB. 2009. Extraction and stability testing of skin fruit dyes of
betasianin from dragon fruit (Hylocereus polyrhizus) and its application as a natural
food dyes. [Bachelor Thesis]. Diponegoro University, Semarang.
12. Sutrisno AD. 1987. Creation and improvement of the quality of the natural red dye
produced by Monascus purpureus.. University Research Center, Bogor Agricultural
University, Bogor.
13. Cai YZ, Sun M, Wu HX, Huang RH, Corke H. 1998. Characterization and
quantification of betacyanin pigments from diverse Amaranthus species. Journal of
Agricultural.Food Chemistry., 46 (90):2063-2070.
14. Eder R. 1996. Handbook of Food Analysis. Vol. I. Marcel Dekker Inc, New York.
15. Ishak MC. 2012. The effect of the drying process and immobilization on the activity
and stability of the enzyme bromelain from pineapple (Ananas comosus (L) Merr).
[Bachelor Thesis]. Hasanudin University, Makasar.

More Related Content

Similar to color stability of beet (beta vulgaris L) dyes label during heating

ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
IAEME Publication
 
Advantages And Disadvantages Of The Feedstock In Anaerobic...
Advantages And Disadvantages Of The Feedstock In Anaerobic...Advantages And Disadvantages Of The Feedstock In Anaerobic...
Advantages And Disadvantages Of The Feedstock In Anaerobic...
Amber Wheeler
 
Review on Biogas Production in Nigeria
Review on Biogas Production in NigeriaReview on Biogas Production in Nigeria
Review on Biogas Production in Nigeria
AJSERJournal
 
Review on Biogas Production in Nigeria
Review on Biogas Production in NigeriaReview on Biogas Production in Nigeria
Review on Biogas Production in Nigeria
AJSERJournal
 

Similar to color stability of beet (beta vulgaris L) dyes label during heating (20)

Proceedings icaia 2015_yandra_367-373
Proceedings icaia 2015_yandra_367-373Proceedings icaia 2015_yandra_367-373
Proceedings icaia 2015_yandra_367-373
 
Proceedings icaia 2015_yandra_367-373
Proceedings icaia 2015_yandra_367-373Proceedings icaia 2015_yandra_367-373
Proceedings icaia 2015_yandra_367-373
 
ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
ROLE OF NANO TECHNOLOGY ON AGRI-GREEN PRODUCT PRODUCTION PROCESS: EMERGING NE...
 
Advantages And Disadvantages Of The Feedstock In Anaerobic...
Advantages And Disadvantages Of The Feedstock In Anaerobic...Advantages And Disadvantages Of The Feedstock In Anaerobic...
Advantages And Disadvantages Of The Feedstock In Anaerobic...
 
NewsLeTERRE vol-3-issue-march-2016
NewsLeTERRE  vol-3-issue-march-2016NewsLeTERRE  vol-3-issue-march-2016
NewsLeTERRE vol-3-issue-march-2016
 
7th GoGreen Summit
7th GoGreen Summit7th GoGreen Summit
7th GoGreen Summit
 
7th GoGreen Summit
7th GoGreen Summit7th GoGreen Summit
7th GoGreen Summit
 
Future Technologies in Agriculture
Future Technologies in AgricultureFuture Technologies in Agriculture
Future Technologies in Agriculture
 
Mr Ashwin Shroff's presentation at CII Biotechnology Committee meeting on 6th...
Mr Ashwin Shroff's presentation at CII Biotechnology Committee meeting on 6th...Mr Ashwin Shroff's presentation at CII Biotechnology Committee meeting on 6th...
Mr Ashwin Shroff's presentation at CII Biotechnology Committee meeting on 6th...
 
Drying of foods vegetables and fruits volume 1
Drying of foods vegetables and fruits volume 1 Drying of foods vegetables and fruits volume 1
Drying of foods vegetables and fruits volume 1
 
NewsLeTERRE Nove 2014
NewsLeTERRE Nove 2014NewsLeTERRE Nove 2014
NewsLeTERRE Nove 2014
 
Food Technology A Tutorial
Food Technology A TutorialFood Technology A Tutorial
Food Technology A Tutorial
 
Biodiversity, Biofuels, Agroforestry and Conservation Agriculture
Biodiversity, Biofuels, Agroforestry and Conservation Agriculture  Biodiversity, Biofuels, Agroforestry and Conservation Agriculture
Biodiversity, Biofuels, Agroforestry and Conservation Agriculture
 
Biodiversity, Biofuels, Agroforestry and Conservation Agriculture
Biodiversity, Biofuels, Agroforestry and Conservation AgricultureBiodiversity, Biofuels, Agroforestry and Conservation Agriculture
Biodiversity, Biofuels, Agroforestry and Conservation Agriculture
 
Environmental biotech
Environmental biotechEnvironmental biotech
Environmental biotech
 
Sd Conference Aiaer Jan. 2008
Sd Conference Aiaer Jan. 2008Sd Conference Aiaer Jan. 2008
Sd Conference Aiaer Jan. 2008
 
Review on Biogas Production in Nigeria
Review on Biogas Production in NigeriaReview on Biogas Production in Nigeria
Review on Biogas Production in Nigeria
 
Review on Biogas Production in Nigeria
Review on Biogas Production in NigeriaReview on Biogas Production in Nigeria
Review on Biogas Production in Nigeria
 
2. project on air pollution in the context of ethiopia
2. project on air pollution in the context of ethiopia2. project on air pollution in the context of ethiopia
2. project on air pollution in the context of ethiopia
 
Ijetm 22-sulaiman et al.
Ijetm 22-sulaiman et al.Ijetm 22-sulaiman et al.
Ijetm 22-sulaiman et al.
 

More from Repository Ipb

SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
Repository Ipb
 
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
Repository Ipb
 
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
Repository Ipb
 
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
Repository Ipb
 
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
Repository Ipb
 
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUMTHERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
Repository Ipb
 
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIKSTUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
Repository Ipb
 
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIATHERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
Repository Ipb
 
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
Repository Ipb
 
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
Repository Ipb
 
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
Repository Ipb
 
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
Repository Ipb
 
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
Repository Ipb
 
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
Repository Ipb
 
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
Repository Ipb
 
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
Repository Ipb
 
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
Repository Ipb
 

More from Repository Ipb (20)

Peta ipb
Peta ipbPeta ipb
Peta ipb
 
SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
SUPERABSORBEN HASIL PENCANGKOKAN DAN PENAUTAN SILANG FRAKSI ONGGOK DENGAN AKR...
 
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
 
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
TEKNOLOGI SEPARASI BAHAN AKTIF TEMULA W AK MENGGUNAKAN BIOPOLIMER TERMODIFIKA...
 
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
PEMBUATAN ARANG DARI SAMPAH ORGANIK DENGAN CARA KARBONISASI MENGGUNAKAN REAKT...
 
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
IDENTIFIKASI SENYAWABIOAKTIFANTIFEEDANT DARIASAPCAIRHASILPIROLISISSAMPAHORGAN...
 
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUMTHERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
THERMAL EFFECT ON APATITE CRYSTAL SYNTHESIZED FROM EGGSHELL’S CALCIUM
 
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIKSTUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
STUDI PRODUKSI PEKTIN ASETAT SEBAGAI BAHAN BAKU LEMBARAN BIOPLASTIK
 
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIATHERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
THERMOGAVIMETRIC-DIFFERENTIAL ANALYSIS PADA MINERAL TULANG MANUSIA
 
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
SINTESIS POLIOL SEBAGAI BAHAN DASAR PEMBENTUK POLIURETAN BERBASIS MINY AK JAR...
 
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
EKSTRAK SAPOGENIN AKAR KUNING SEBAGAI HEPATOPROTEKTOR PADA MENCIT YANG DIINDU...
 
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
PENGARUH EKSTRAK BANGLE (Zingiber cassumunar Roxb.) TERHADAP AKTIVITAS ENZIM ...
 
BRlKET AMPAS SAGU SEBAGAI BAHAN BAKAR ALTERNATIF
BRlKET AMPAS SAGU SEBAGAI BAHAN BAKAR ALTERNATIFBRlKET AMPAS SAGU SEBAGAI BAHAN BAKAR ALTERNATIF
BRlKET AMPAS SAGU SEBAGAI BAHAN BAKAR ALTERNATIF
 
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
STUDI IN VIVO KHASIAT ANTIINFLAMASI EKSTRAK HERBA SURUHAN (PEPEROMIA PELLUCID...
 
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
POTENSI MINYAK ATSIRI DAUN Cinnamomum multiflorum SEBAGAI INSEKTISIDA NAB A T...
 
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
ISOLASI DAN IDENTIFIKASI GOLONGAN FLAVONOID DAUN DANDANG GENDIS (Clinacanthus...
 
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
Metode Spektrofotometri UV-Vis Untuk Penentuan Barium dalam Tanah Liat dengan...
 
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY PROFilE OF TEMPUYUNG Sonchus arvensis ...
 
UDAH BUAYA (Aloe vera) SEBAGAI TANAMAN PENGHASIL ZAT ANTI BAKTERI
UDAH BUAYA (Aloe vera) SEBAGAI TANAMAN PENGHASIL ZAT ANTI BAKTERIUDAH BUAYA (Aloe vera) SEBAGAI TANAMAN PENGHASIL ZAT ANTI BAKTERI
UDAH BUAYA (Aloe vera) SEBAGAI TANAMAN PENGHASIL ZAT ANTI BAKTERI
 
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
EFEK ANTIOKSIDAN DAN PENGKELAT LOGAM TERHADAP AKTIVJTAS PROTEOLITIK ENZIM PAP...
 

Recently uploaded

Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
Chris Hunter
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 

Recently uploaded (20)

General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Role Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptxRole Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptx
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 

color stability of beet (beta vulgaris L) dyes label during heating

  • 1.
  • 2. CONFERENCE COMMITTEE Coordinator : Yandra Arkeman, Dr. M.Eng (Departement of Agroindustrial Technology, IPB) Co-Coordinator: Nastiti Siswi Indrasti, Prof. Dr. Ir. (Head of Departemen of Agroindustrial Technology, IPB) International Experts: 1. Kenneth De Jong, Prof. (George Mason University, Fairfax, Virginia, USA) 2. Kim Bryceson, Prof. (School of Agriculture and Food Science , University of Queensland, Australia) 3. Haruhiro Fujita, Prof. (Department of Information Systems, Niigata University for International and Information Studies Japan) 4. Gajendran Kandamsany, Dr. (United Kingdom) 5. Noel Lindsay, Prof. (University of Adelaide, Australia) Committee Members from IPB: 1. Kudang Boro Seminar, Prof. (Departement of Mechanical & Bio-system Engineering, IPB) 2. Marimin, Prof. (Departement of Agroindustrial Technology, IPB) 3. Endang Gumbira Said, Prof. (Departement of Agroindustrial Technology, IPB) 4. Suprihatin, Prof. (Secretary of Departement of Agroindustrial Technology, IPB) 5. Ono Suparno, Prof. (Departement of Agroindustrial Technology, IPB) 6. Agus Buono, Dr. (Head of Department of Computer Science, IPB) PROCEEDINGS 2nd International Conference on Adaptive and Intelligent Agroindustry (ICAIA) September 16 – 17, 2013, IPB International Convention Center Bogor – Indonesia Organized by : Departement of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology Bogor Agricultural University George Mason University, Fairfax, Virginia, USA Indonesian Agroindustry Association (AGRIN) Bogor, Desember 2013 Frekwensi Terbitan : 1 Tahunan Nomor ISSN : 2354-9041
  • 3. i WELCOMING ADDRESS Prof. Dr. Ir. Nastiti Siswi Indrasti Head of Agroindustrial Technology Department Faculty of Agricultural Engineering and Technology Bogor Agricultural University On Second International Conference on Adaptive and Intelligence Agroindustry (2nd ICAIA) Bogor, September, 16 – 17, 2013 Assalamu’alaikum Warohmatullahi Wabarokatuh In the name of Allah, the beneficent and the merciful, Distinguish Guest, Ladies and Gentlemen Let me first thank you all for accepting the invitation to participate in this 2nd International Conference on Adaptive and Intelligence Agroindustry (ICAIA). In particular I would like to thank Rector of IPB (Institut Pertanian Bogor/Bogor Agricultural University) Prof. Herry Suhardiyanto for supporting this event as part of the series academic event in celebrating the 50th Anniversary of Bogor Agricultural University. In fact, the idea of organizing this conference was the continuation of the International Workshop on Computational Intelligence and Supercomputing Technology for Adaptive Agroindustry held by the Department of Agroindustrial Technology, Bogor Agricultural University last year. Professor Kenneth A De Jong from George Mason University, US has successfully conducted joint international research with some staff from the Department of Agroindustrial Technology and Department of Computer Science, Bogor Agricultural University. The research aims to develop an integrated and intelligent system (namely SMART-TIN©) for the design of adaptive agroindustrial system in order to achieve a sustainable agroindustry that can mitigate global climate change and at the same time secure food, water, energy and natural medicine supply. We are certainly proud to have been able to assemble this event in IPB, Bogor. The range of participants and audience at this conference is precisely something I would like to stress. The main goal of the conference is to provide an effective forum for distinguished speakers, academicians, professional and practitioners coming from universities, research institutions, government agencies and industries to share or exchange their ideas, experience and recent progress in Adaptive and Intelligent Agroindustry. Distinguish Guest, Ladies and Gentlement, Global climate change is the most challenging problems for us today and in the near future. This global change in our climate can lead to the shortage of the food, water, bioenergy and natural medicine that will affect the quality of human life. Many studies indicate that the threat of food, water, bioenergy and natural medicine crisis due to global climate change still worries our society. This problem can be solved by the development of agroindustry, i.e. an interrelated value chain entities from farming, to agro-processing industry and then to the end-customers. In fact, the design of agroindustry is complex and involves many factors and large data bases and more importantly, needs a good intelligence to process data and information to good decisions. Therefore, the way to design and manage agroindustry should be improved in order to meet the design objectives. Agroindustries consume quite significant amount of energy on one side, on the other side they generate sizable amount of industrial wastes and its utilization as a captive energy resource is a kind of potential. Based on our study, a plywood industry with the production capacity of 200.000 m3 /year could generate 32 percentage of solid waste. If this amount of waste used as an energy alternative, it may result on the saving of 131.037.768.597 rupiah per month. Similar to plywood industry, sugarcane industry with the production capacity of 480 ton per hour could generate 154 ton per hour of waste (bagasse) and this amount of waste contribute to the saving of energy consuming by 19.250 Kwh. Recent study we conducted, indicated that cassava starch industry may contribute to a significant amount of waste. It has also potential usage as an energy resource. Based on our study the conversion of its waste into energy will contribute to the saving of energy usage of 4100 liter biogas per ton material. The three industries mentioned is only examples of how potential the role of agroindustrial waste as an alternative resource in replacing the conventional energy resource as its presence will be significantly
  • 4. ii reduced. The new, incremental energy contributions that can be obtained from waste biomass will depend on future government policies, on the rates of fossils fuel depletion, and on extrinsic and intrinsic economic factors, as well as the availability of specific residues in areas where they can be collected and utilized. All of these factors should be in detail examined to evaluate the development of the industrial waste contribution. Hope this conference will also discuss this issue in more detail as it is an important matter for all of us. We should no more think just how to produce high value product but it is also necessarily important how to keep our live in good quality by understanding following old saying…” only when the last tree has been cut, only when the last fish has been angled, and only when the last river has been polluted, then we realized that we could not eat money”. I do not to take up any more of your time with these opening remarks. Let me simply thank you once again for sharing your thoughts with us. Here’s wishing every success for the conference. May Allah bless all of us. Thank you for your kind attention, Wassalamu’alaikum Warohmatullahi Wabarokatuh
  • 5. iii AGENDA of 2nd International Conference on Adaptive and Intelligent Agroindustry (ICAIA) Time Activities Room Day 1 (16 September 2013) 08.00 – 09.00 (60’) Registration 09.00 – 10.00 (60’) Opening Ceremony  Welcoming Address: Prof. NastitiSiswiIndrasti (Head of Dept TIN, Fateta, IPB)  Conference Opening: Prof. HerrySuhardiyanto(Rector of IPB) o ABET Certification announcement and short ceremony o Launching International Double Degree Master Program in Innovation and Technopreneurship in Cooperation with University of Adelaide, Australia o Soft-launching Master in Logistik Agroindustri (Agroindustrial Logistics) Ballroom 10.00 – 10.45 (45’) Opening Speeches: Prof. IrawadiJamaran (Agroindustry Guru, IPB: 25’) Prof. Eriyatno (Industrial and System Engineering, IPB: 20’) Ballroom Session 1 10.45 – 11.15 (30’) Keynote Speech Dr. YandraArkeman (IPB) Ballroom 11.15 – 12.00 (45’) Keynote Speech Prof. Kenneth De Jong (George Mason University, USA) Ballroom 12.00 – 13.30 (90’) Lunch Break Session 2 13.30 – 15.15 (105’) Moderator: Prof. EndangGumbiraSa’id (IPB) Invited Speakers (1-4) (4 x 20 minutes) Discussion (25 minutes) Tentative Schedule: Prof. Kim Bryceson (Australia), Prof. SyamsulMa’arif (IPB), Prof. KudangBoro Seminar (IPB), Prof. HaruhiroFujita (Japan) Ballroom 15.15 – 15.45 (30’) Break 15.45 – 17.30 (105’) Moderator: Prof. Marimin (IPB) Invited Speakers (5-8) (4 x 20 minutes) Discussion (25 minutes) Tentative Schedule: Dr. Gajendran (UK), Prof. Noel Lindsay (University of Adelaide), Dr. KuncoroHartoWidodo (UGM), Prof. UtomoSarjonoPutro (ITB) Ballroom Day 2 (17 September 2013) 08.00 – 08.30 (30’) Registration 08.30 – 10.15 (105’) Moderator: Prof. KudangBoro Seminar (IPB) Invited Speakers (9-12) (4 x 20 minutes) Discussion (25 minutes) Prof. Egum (IPB), Prof. Marimin (IPB), Dr. AgusBuono (IPB), Dr. HeruSukoco (IPB) 10.15 – 10.30 (15’) Coffee Break 10.30 – 12.30 (120’) Parallel Session 1 Moderator: Prof. Fujita (7 paper @ 15 minutes) Discussion (15 minutes) Parallel Session 2 Moderator: Prof. Ono Suparno (7 paper @ 15 minutes) Discussion (15 minutes) Parallel Session Moderator: Prof. Suprihatin (7 paper @ 15 minutes) Discussion (15 minutes)
  • 6. iv 12.30 – 13.30 (60’) Lunch Break 13.30 – 15.00 (90’) Open Discussion (Open Forum) with Prof. Kenneth De Jong Topic: Foundations and Applications of Genetic/Evolutionary Algorithms Ballroom 15.00 – 15.30 (30’) Conference Closing Ballroom 15.30 – 17.00 (90’) Indonesian Agroindustry Association (AGRIN) National Congress (PIC: Prof. Suprihatin) Ballroom 17.00 – 17.45 (45’) Refreshment and Closing of AGRIN National Congress Ballroom
  • 7. v CONTENT LIST Conference Committee Welcoming Address ….………………………………………………….…………….................. i Agenda of 2nd ICAIA 2013.............................................................................................................. iii Content List …………..………………………………………………......……………................. v A.  SMART-TIN© : An Integrated And Intelligent System For The Design Of Adaptive Agroindustry (A Conceptual Framework) (Yandra Arkeman) 1‐9. B.  GHG  Emission  Reduction  By  Waste  Cooking  Oil  Recycling  In  Environmental  Partnership  Program  Of  Bogor  City  (Haruhiro  Fujita,  Atsushi  Yoshimoto,  Katsuyuki Nakano,  Koji Okuhara, Noriaki Koide, Dadang Supriatna)  10‐16. C.  Challenge  of  Indonesian  Logistics  Infrastructure  for  Perishables  Products  (Kuncoro Hartoto Widodo, Yandra Rahardian Perdana, Joewono Soemardjito)  17‐28. D.  Design Of Grouping Traditional Market  Distribution Using  Fuzzy Clustering And  Design  of  Routing  of  Packaging  Cooking  Oil  From  Distribution  Center  To  Traditional Market  Using Traveling Salesperson Problem– Genetic Algorithm in  Indonesia  (Case‐Jakarta)  (Teja  Primawati  Utami,  Syamsul  Maarif,  Yandra  Arkeman, Liesbetini Hartoto)  29‐43. E.  Determining the degree of product rightness at the conceptual stage:A Case of  the Low Cost Green Car (Ade Febransyah, Fransisca Tharia)  44‐53. F.  Co‐Composting Process Of Bagasse And Sludge From Sugarcane  Industry With  Influence Of Difference Initial C/N Value And Aeration (Andes Ismayana, Nastiti  Siswi Indrasti, Tori Sane)  54‐62. G.  Analysis Of The Competitiveness Of The Agribusiness Sector Companies Using  Porter's Five Forces (M. Hudori)  63‐72. H.  Design  And  Optimization  Of  Agro‐Scm  For  Food  And  Energy  Security  In  Indonesia (Hoetomo Lembito, Kudang Boro Seminar, Nunung Kusnadi, Yandra  Arkeman)  73‐83. I.  Construction Of Patchouli Oil’s Price In West Java : A Structural Equation Model  (Isti Surjandari, Alan Dwi Wibowo, Erlinda Muslim, Nurwan Nugraha)  84‐90. J.  Optimization Vehicle Routing Problem With Cross Entropy Method And Branch  & Bound Algorithm (Iwan Aang Soenardi, Budi Marpaung)  91‐99. K.  Design  And  Optimization  Of  Agro‐Scm  For  Food  And  Energy  A  Remote  Monitoring System Of Broilers’ Behavior In A Multi‐Agent Broiler Closed House  System (K.B. Seminar, R. Afnan, M. Solahudin, Supriyanto, A.K. Wijayanto, M.Z.  Arifin, A. Fatikunnada)  100‐112. L.  Artificial Neural Network Model Based Capacitance Dielectric For Crackers Self‐ Life  Prediction  (Erna  Rusliana  Muhamaad  Saleh,  Erliza  Noor,  Taufik  Djatna,  Irzaman)  113‐121. M.  Characterizing  Temporal  Dynamic  Of  Weather  Variability  To  Support  Decision  Making  On  Weed  Control  (Rizky  Mulya  Sampurno,  Kudang  B.  Seminar,  Yuli  Suharnoto, Mohamad Solahudin)  122‐130.
  • 8. vi N.  Risk  Management  Model  in  Dairy  Product  Transportation  With  Fuzzy  Logic  Approach (Winnie Septiani, Yandra Arkeman)  131‐141. O.  Strategy  to  Increase  Institutional  Capacity  of  Farmer  Groups  to  Support  the  Transportation System Agroindustry Products (Zulfiandri, Yandra Arkeman)  142‐156. P.  Adsorption Of Carotenoid From Palm Oil Methyl Ester By Using Attapulgite And  Synthetic Silica Magnesium As Adsorbent (Sapta Raharja, Prayoga Suryadarma,  Zuni Fitriyantini)  157‐163. Q.  High Accuracy Agroindustry Environment Monitoring System Based on Photonic  Crystal Sensor Network (Mamat Rahmat, Muhamad Azis, Erus Rustami, Wenny  Maulina, Kudang Boro Seminar, Arief Sabdo Yuwono, Husin Alatas)  164‐174. R.  Study  on  Effect  ofTemperatureIncrease  on  the  Productivity  of  Methanefrom  POME Fermentation (Sarono, E. Gumbira Said, Ono Suparno, Suprihatin, Udin  Hasanudin)  175‐180. S.  The Design and Implementation of Geographic Information Systems to Support  Food  and  Energy  Security  (Arif  Purnomo  Muji  Basuki,  Yandra  Arkeman,  Musthofa)  181‐191. T.  Study Of White Crystal Sugar Distribution System In Indonesia (Suripto, Yandra  Arkeman)  192‐199. U.  Corncob  Biodelignification  Process  Using  White  Rot  Fungi  (Liesbetini  Hartoto,  Purwoko, Elis Nina Herliyana, Cucu Rina Purwaningrum)  200‐212.  V.  Color  Stability  of  Beet  Dyes  Label  During  Heating    (Endang  Warsiki,  Asih  Setiautami)  213‐219. W  Precipitation  Classification  Using  LVQ  on  Dry  Season  Base  on  Global  Climate  Indices Case Study in Indramayu District (Indra Kelana Jaya, Agus Buono, Yandra  Arkeman)  220‐225. X.  Wood Identification Type By Using Support Vector Mechine‐Based Image (A.A.  Gede Rai Gunawan, Sri Nurdiati, Yandra Arkeman)  226‐232. Y.  Fuzzy  Logic  Systems  and  Applications  in  Agro‐industrial  Engineering  and  Technology (Marimin, Mushthofa)  233‐241. Z.  Adaptive  Learning  Model  of  Hypergame  by  using  Genetic  Algorithm:  an  Application of Value Co‐creation in Service System (Case Study: Airline Service)  (Santi Novani, Utomo Sarjono Putro) 
  • 9. 213 Color Stability of Beet (Beta vulgaris L.) Dyes Label During Heating Endang Warsiki Department of Agroindustrial Technology, Faculty ofAgriculture Technology Bogor Agriculture University Fateta Building 2 nd floor, Darmaga Campus Bogor 16658 Email: warsiki@yahoo.com.au Asih Setiautami Department of Agroindustrial Technology, Faculty ofAgriculture Technology Bogor Agriculture University Fateta Building 2 nd floor, Darmaga Campus Bogor 16658 Email: warsiki@yahoo.com.au ABSTRACT The development of smart sensor in food packaging was continuously performed. The development of which is being done, that is a smart label with the form of film which given additional color as an indicator. The purpose of this research is to study and develop smart packaging by addition of natural dyes of beet (B. vulgaris L. var cicla L.) as well as finding the best drying techniques for label producing. This label was produced form chitosan and chitosan - polyvinyl alcohol (PVA). Two form (chitosan and chitosa-PVA) films were compared to its properties. Three drying techniques were carried out in this experiment, i.e. oven blower, oven vacuum and freeze drying. A result showed that films made from chitosan-PVA has the appearance of a more clear, shiny, and looks more refined than the indicators of chitosan films. The use of beet extract as dyes of color indicator did not allowed for the drying in conjunction with the film solution. Natural dye staining technique that can still be used as an indicator dye in smart packaging was freeze drying in temperature of -10o C. Indicators with natural dyes of beet responded through changes in color of the storage temperature. Color changes that occur in the film made from chitosan had a vulnerable time longer in the retention time than films made from chitosan-PVA. Keywords: Smart label, color stability, heat, beet dyes 1. INTRODUCTION Currently a new breakthrough in the world of packaging has been resulted a smart and intelligent packaging. The packaging serves as an indicator/sensor, wherein the indicator can be placed internally and externally the package. This indicator will communicate and inform the quality of the packaged product to the consumer directly and continuously monitor the quality and safety of the product during handing and storing. The development is being done in the form of smart packaging films or label with the addition of color as an indicator. Researches on smart indicator in the form of label with an indicator dye were previously done. For example, research have been conducted to detects the decay of tilapia fillet [1]. It was also [2,3] with a color indicator label made from synthetic and natural dye to detect the freshness of cutted pine apple [4]. Research [5] had developed the color changing of label made from Erpa (Aerva sanguinolenta) leaf extract. Furthermore, the label was applied for pasteurized milk and gave a color changing of red when the milk was fresh and yellow when the milk was off quality [6]. Generally, the indicator changing in color was driven by temperature [3,5], pH [1,7,8], microorganism growth [9] and gas/volatile compound [10]. The color of dyes used in this indicator was made from either synthetic or natural dyes. Synthetic dyes gave a better quality in color, resist to water and high temperature, but it will change
  • 10. 214 due to food pH changing [2,4]. On the other hand, instead of pH, natural dyes was sensitive to temperature thus producing label using this natural dye need a proper technique especially when the process involving on drying. Brushing method was one of the techniques for producing color indicator label with erpa leaf dye [3]. Off course, this technique was time and cost consuming and difficult to be applied as a commercial process. It is therefore finding other technique of drying for producing color indicator label (with natural dye) is much needed to improve the quality of color as well as good in mechanical and physical properties of the label. Thus the purpose of this research is to study the color stability of smart indicator label producing from beet (Beta vulgaris) extract as color dye and chitosan as well as PVA as a matrix of the label. Beet or known as beetroot or garden beet is a vegetable which is rich with purple or red purple betasianin pigment. This pigment has been using as natural dye for vary Indonesia tradition food and beverage such as “pepe” and “lapis” cake. Exploring the beet dyes for color indicator of a smart label is very interesting to be studied. 2. RESEARCH METHOD 2.1. Materials and Apparatus The materials and apparatus used in this study were chitosan, Polyvinyl Alcohol (PVA), 1% glacial acetic acid, plasticizer of glycerin, distilled water, beet extract, and 70% alcohol. While the apparatus were oven blower, oven vacuum, free dryer, hot plate and magnetic stirrer, thermometer, volumetric puppet, glass plate with the size of 20 cm × 20 cm × 1 cm, analytical balance, micrometer screw and Chromameter. 2.2. Method 2.2.1. Beet extraction Beet was peeled and crushed in a blender and was given an additional water with the ratio (w/w) of 2 (part of beet) and 1 (part of water). Beet extract was filtered by filter paper 100 µm sizes. The red purple dye extract was collected and used to make an indicator label. 2.2.2. Chitosan – PVA solution Preparation of a mixture of chitosan and PVA films (polyvinyl alcohol) based on research conducted Warsiki et al (2013). In this study, chitosan - acetate 1 % of 48 mL, PVA 1% of 48 mL, and beet dye of 4 mL was mixed in a solution. In making the film sheet was performed in three phases, namely, PVA solution preparation, chitosan solution preparation, and the mixing the two of the solutions. At first, 3 gr of PVA was dissolved in distilled water at temperature 80ºC, and then homogenized with a stirrer until it was dissolved perfectly. Then weighing of 3 gr of chitosan and dissolved in 50 mL of 1% glacial acetic acid. The next stage was mixed the two solutions in the breaker glass. Comparisons were used of 6:4 (PVA solution: chitosan solution). 2.2.3. Indicator film coloring and drying
  • 11. 215 The film solution of 100 mL was carefully poured in a glass plate with size of 20 cm × 20 cm and then dried. Firstly, it mixed the beet dye into the film solution and then dried. There were three drying technique was used i.e. oven, vacuum and freeze dying. Based on the results of the study [4], indicator of natural dye colors were very easy to change color when heated thus a drying method with low temperature could be applied to improve the label color quality. These colors were measured by Chromameter and the data was tested by parametric statistical using Paired Samples t test. The test of t was conducted to determine whether there was a difference between the three techniques of drying. 2.2.4. Color stability observing Color changing of the film during the heating process was observed. It was also observed color stability during the storage in different temperature. A label was made by cutting the color indicator film in a size of 3 cm × 3 cm and then stored in five different places, i.e. room temperature (± 27ºC), the temperature of the refrigerator (3- 5ºC), the temperature of the freezer (-5 - (-10)°C), dark space, and exposure to sunlight. The color changes observed visually every hour until the color of film was definitely constant or no more in color changing. Time needed for the color stain in the film was defined as Retention Time. 3. RESULT AND DISCUSSION 3.1. Chitosan and Chitosan –PVA film The film was produced from the two materials has different visual appearance (see Figure 1 and 2). A Chitosan film sheet was yellowish while the chitosan-PVA film sheets was colored translucent, shiny, and looks smoother surface. In addition, chitosan- PVA films look more like a sheet of plastic. This was because the PVA was included into the plastic material. However, both have the same flexibility. Both films of chitosan and chitosan-PV were easy to be separated from the glass plate and not easily torned. (a) (b) Figure 1. Indicator film before coloring : (a) kitosan, dan (b) kitosan-PVA
  • 12. 216 (a) (b) Figure 2.. Indicator film after coloring : (a) chitosan, dan (b) chitosan-PVA 3.2. Color stability of indicator film during heating Three drying techniques were tested to find the appropriate drying in order to obtain a stable color for film indicator. As [4] finding, a film beet colored change during the process of drying in an oven for 24 hours from purplish red to green. In this research, oven blowers has also resulted on changing in color form purplish red after drying become brown for 24 hours at a temperature of 50º C. Then vacuum drying has been done by colored beet subsequently poured into a glass plate and dried by vacuum drying for 3 hours. This technique was also resulted on changing color of the film to yellow-green. While freeze-drying, the film changed from red -purple into pink sheet film after 6 h. This means, for drying the film indicator with freeze drying should be taken less 6 hours to produce dried film. Figure 3 show the changing of color of indicator film using the three techniques of drying. (i) (a) (b) (c) (ii) Figure 2. Film : (i) before drying and (ii) after drying with : (a) oven blower, (b) freeze ; and (c) oven vacuum
  • 13. 217 Heat has degraded dye due to its sensitive. Betalain/betasianin, the pigment pf beet dye stability mainly was influenced by temperature. According to [11], the most stable betasianin color temperature was below 40ºC. According to [12] temperature and duration of heating have caused decomposition and changes in the structure of the pigment resulting in bleaching. It was also the nature of the beet betalain affected by pH, light, air, temperature and water activity [13]. When temperatures were used less than 50ºC, the film drying process will require a longer time thus the two drying techniques were not suitable for use in drying films with dye indicator beet. However, dry the film using freeze dryer looked good for the performance of film as long as the temperature was kept in low or it might be in minus. Color changing using freeze-drying was not so high compared to blower and vacuum drying, although there was still more pale red color. This was because of betalain pigment has a high solubility in water [14] so that when it was dried in freeze, the dye was bound in a matrix of water and difficult to leach out. According to [15], freeze-drying has different working principle of vacuum drying. Freeze drying will draw the components of the material to be dried, including the physically bound water will also be interested while evaporative drying vacuum dried material components so that only the free water that has a great chance to evaporate and remain water that is physically and chemically bonded on it. Then freeze drying produced texture on film sheets more fibrous - fiber, not smooth or flat as in the vacuum drying and drying blower. The three of drying techniques were resulted on the changing of color of the film unless only a small changing in freeze drying. Data analysis using Paired Sample Test was displayed in Table 1. It was shown that a value with significance level of 0.05 with data (n) of 3 has performed and obtained the degrees of freedom (df) equal to 2. T table value obtained was equal to 4.303. Based on this calculation, the t value calculation was smaller that t table thus it means there was a real relationship (significant) between the indicator color films before and after drying. Table 1. Result of t test. Drying technique t test RemarkT calculation T table Blower 1.073(a) 4.303 N 0.339(b) N -14.359(c) N Vaccum -0.721(a) N 3.698(b) N -12.016(c) N Freeze -3.696(a) N 2.237(b) N -0.215(c) n 3.3.3. Color stability of the film during storage Indicator film was produced by drying in a freezer (-10±1o C) to produce more stable color on that film. A label was made by cutting the sheet film into small pieces (3
  • 14. 218 cm × 3 cm) and then store in five different conditions, i.e. at room temperature, the temperature of 3-5ºC, the temperature of -5 - (-10)°C, dark room, and sun exposure. Visual observation was performed every hour until the film has no changes in color. The results were shown Table 2. Tabel 2. Result of the retention time of color in the film Storage condition Chitosan (h) Chitosan-PVA (h) 3-5ºC 30 13 -5-(-10)ºC 30 13 26-27ºC 14 5 Dark room 14 5 Sun exposure 3 2 Based on the above observations (Table 2) it can be seen that the film made from chitosan has a color changing in longer time than the indicator color films made from chitosan and PVA mixture. In addition, the temperature observations were selected for use in the main study was the temperature of 3-5 º C, the temperature of -5 - (-10) ° C, and exposure to the sun. This was because of the film color indicator of beet was expected to be applied as a sensor or indicator of products that are sensitive to temperature. Indicator chitosan-PVA films was stored in a refrigerator has been resulted on color changing after 13 hours of storage, which was from purplish red became dark purple. At room temperature and dark room, the color changed after 5 hours of storage, i.e. from purplish red to red, while the sun exposure changed after storage for 2 hours (pale purplish red to red and hardened). In meanwhile, the film made from chitosan indicator, the color changed after 3 hours of storage on sun-exposed films, from purplish red to orange. Film stored in the fridge (refrigerator and freezer) changed after 30 hours of storage (purplish red to red), and 14 hours of storage for the film stored in room temperature and dark room dark (purplish red to red-orange). 4. CONCLUSION AND RECOMMENDATION 4.1. Conclusion Films made of chitosan - PVA had the appearance of a more clear, shiny, and more refined than the chitosan films. The use of dyes as a color indicator of beet, did not allow for drying in conjunction with the film solution. Freeze drying with temperature of -10o C was the best technique for color indicator label producing. The film indicator with natural dyes responded by changing the color of the storage temperature. Color changes occurred in the chitosan -based films had vulnerable longer than films made from chitosan - PVA. 4.2. Recommendation It was the need of other study of natural dyes that was more resistant to temperature and light. It was also needs further research on the application of this smart label for food product.
  • 15. 219 5. REFERENCES 1. Hasnedi YW. 2009. The development of smart packaging with a sensor from chitosan-asetat, polyvinyl alcohol and bromthymol blue indicator to detect the deterioration of tilapia fillet. [Bachelor Thesis]. Bogor Agricultural University, Bogor. 2. Warsiki E, Putri CW. 2012. Colored Label Indicator Using Natural And Synthetic Dye). E-Journal Agroindustri Indonesia 1 (2): 82 – 87. 3. Warsiki E, Nofrida R, Yuliasih I. 2013. The utilization color extract from Erpa (Aerva sanguinolenta) leaf for smart label color indicator. Indonesian Journal of Agricultural Sciences (In Press). 4. Putri CDW. 2012. Smart packaging of color indicator to detect the freshness of cut pineapple during storage. [Bachelor Thesis]. Bogor Agricultural University, Bogor. 5. Nofrida R, Warsiki E, Yuliasih I. 2013. The effect of storage temperature on the Erpa Leaf (Aerva sanguinolenta) color indicator smart label. Journal of Agroindustrial Technology (In Press). 6. Warsiki E, Nofrida R, Yuliasih I. 2013. Smart thermometer for quality assurance. 105 Innovations Indonesia. Jakarta: Business Innovation Center P18-19. 7. Hong SI, Park WS. 2000. Use of color indicators as an active packaging system for evaluating kimchi fermentation. Journal of Food Engineering. 46 (1) :67-72. 8. Rukchon, C. 2011. Volatile compounds as quality indicators of fresh chicken and possible application in intelligent packaging. The 12th ASEAN Food Conference 2011, 16-18 June, 2011. BITEC Bangna, Bangkok, Thailand. 9. Lestari IA. 2013. Smart label producing for Escherichia coli detector. [Bachelor Thesis]. Bogor Agricultural University, Bogor. 10. Kuswandi, B. Jayus, Restyana, A. Abdullah, A. L.Y.H. Ahmad, M. 2012. A Novel Colorimetric Food Package Label For Fish Spoilage Based On Polyaniline Film. Journal of.Food control. 25(1): 184-189 11. Pranutikagne EB. 2009. Extraction and stability testing of skin fruit dyes of betasianin from dragon fruit (Hylocereus polyrhizus) and its application as a natural food dyes. [Bachelor Thesis]. Diponegoro University, Semarang. 12. Sutrisno AD. 1987. Creation and improvement of the quality of the natural red dye produced by Monascus purpureus.. University Research Center, Bogor Agricultural University, Bogor. 13. Cai YZ, Sun M, Wu HX, Huang RH, Corke H. 1998. Characterization and quantification of betacyanin pigments from diverse Amaranthus species. Journal of Agricultural.Food Chemistry., 46 (90):2063-2070. 14. Eder R. 1996. Handbook of Food Analysis. Vol. I. Marcel Dekker Inc, New York. 15. Ishak MC. 2012. The effect of the drying process and immobilization on the activity and stability of the enzyme bromelain from pineapple (Ananas comosus (L) Merr). [Bachelor Thesis]. Hasanudin University, Makasar.