C. Hanny Wijaya*, Vivi Rusviani, Vivi Rusviani
Department of Food Science and Technology - Bogor Agricultural University - Campus IPB Dramaga – P.O. Box 220 - Bogor – Indonesia
C Hanny Wijaya
Department of Food Science and Technology
Bogor Agricultural University
Campus IPB Dramaga
P.O. Box 220 - Bogor - Indonesia
Tel: +62 251 8626725
Article Type: Research Article
Manuscript ID: FNOA-1-108
Publisher: Boffin Access Limited.
Journal Type: Open Access
Copyright: © 2018 Wijaya CH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License
Wijaya CH, Rusviani V, Nurtama B. A Study on Reformulation of Gingerbased Traditional Drink based on Consumer Acceptability and Flavor Preference. Food Nutr OA. 2018 Aug;1(2):108
This research aimed to reformulate a Ginger-based Traditional Drink (GTD), traditionally consumed in Indonesia based on a consumer acceptance and flavor attribute preference. This study was conducted in Bogor, Indonesia. The research was divided into three steps, i.e. selection of GTD, optimization of the formula of selected GTD by Mixture Design in Design Expert 7.0 software, and final determination of physicochemical properties and acceptability of the optimized GTD. Fishbein and Wilcoxon’s tests were applied as a processor in analyzing the data obtained from questionnaires. The preference study showed that “bajigur” was the most favored GTD in which ginger pungency was found as the most important attribute. The usage of brown sugar, ginger, and coffee as ingredients significantly contributed to the preferences in product color, sweetness, and pungency but not in aroma. The reformulated GTD could be accepted by consumers from varied ethnics (Batavians, Javanese, Sumatrans, Celebes, and Sundanese), although the majority was still from the Sundanese ethnic (67%). The optimized GTD formula was more preferred than the commercial “bajigur” with the hedonic scores of 3.44 and 1.25, respectively.
Traditional Ginger-based Drink; Consumer Acceptance; Sensory; Reformulation; Flavor
Ginger (Zingiber officinale Rosc) is a medicinal plant well-known in national, regional,
and international market. Its ability to give a trigeminal impact “warm feeling” and the
pleasant flavor characteristic are outstanding properties of ginger. Therefore, ginger
is widely used as an ingredient in several recipes of Indonesian traditional drinks .
Ginger-based drinks have been known since long time ago in Indonesia and spread all over
Indonesia with different names such as wedang jahe (ginger tea), bajigur, sekoteng, bandrek,
serbat and bir pletok.
Indonesian ginger-based traditional drinks were previously reported to exert antioxidant effects . However, study concerning their consumer preferences is rather scarce; thus, there is clearly a need to conduct a research focusing on identification of acceptability level of ginger-based traditional drinks by consumers. Since sensory attribute of a food is the main factor in determining its acceptability by consumers; hence, the acceptability of the ginger-based traditional drinks should be determined by using sensory test.
Preference and acceptability of food are influenced by intrinsic and extrinsic factors , which also affected ginger-based traditional drinks. The use of different ingredients in the drinks according to their origin and various processing parameters may alter their taste and aroma . Moreover, demographic factors, such as social status, experience, knowledge, gender, age, and psychological state also influence sensory acceptability of the consumer .
Several researches on ginger-based traditional drinks have been made, which focus mostly on production technology and nutritional content , but studies pertaining their sensory acceptability seem to be still limited. Therefore, this research aimed to evaluate the sensory and flavor acceptability of available ginger-base traditional drinks by the consumer, while also observing the role and impact of certain ingredients frequently used in their production to the flavor attributes. Based on current reports, a modified formula of gingerbased traditional drinks will be developed. The available information will be further used as a basis to develop ginger-based traditional drinks according to consumer preference.
Main ingredients included ginger, coconut milk, palm sugar, while other materials used were coffee, salt, and pandanus leaves. These ingredients were purchased in Pasar Anyar Bogor, while ginger was obtained from BALITTRO (Indonesian Medicinal and Aromatic Crops Research Institute/Balai Penelitian Tanaman Obat dan Aromatik) Bogor. Different ginger-based traditional drinks, i.e. sekoteng, bandrek, wedang jahe, sarabba and bir pletok, were used, whereas commercial bajigur purchased from street vendor in Bogor was regarded as a reference in consumer’s acceptability and preference. The experimental equipments included colorimeter (CR-310 Minolta Chromameter), pH meter (Hanna Hi8014), Soxhlet extraction apparatus, distillation apparatus and glassware.
Questionnaire design and evaluation: Questionnaire was
used as a survey instrument to determine which GTDs would be
used in further experiment. The questionnaire included product
description and general information of the respondent and contained
2 types of question, i.e. open and close questions. Thus, validity and
reliability tests using 30 respondents were carried out to validate the
questionnaire prior to use.
Location and respondent selection: The consumer’s acceptability and preference test for ginger-based traditional drink (GTD) was conducted in Bogor, Indonesia. Respondents of this study were consumers in Bogor. They were selected using purposive sampling , while the eligible respondents for selecting GTD were untrained panelists who consumed GTD at least once in the last two months. Another criterion of the respondents was their ethnic, including Batavians, Javanese, Sumatrans, Borneo/Celebes, and Sundanese.
Data collection: Data were collected by survey method  for 40 respondents. The type of data collected was primary data from the questionnaire using written interview.
Data analysis: The survey data for each GTD were analyzed to determine the most preferable product, indicated by the highest consumption frequency. The formula in the selected product was then chosen as a basis for the product reformulation. Fishbein method was used to analyze data, which score of bi and ei ranging from -2 to +2. These scores were then calculated according to the utilized attributes. The formula of Fishbein method can be expressed as:
The reformulated GTD was selected according to questionnaire evaluation in the first stage, focusing on the highest preference score (hedonic) in taste, aroma, and color.
Mixture Design (MD) in Design Expert (DX) 7.0 program was used to optimize formula. The input data required for DX 7.0 were test variables and level range of each variable. The results of preference test were used as response. This step was applied to find the optimum formula through multivariate equation. This multivariate equation was mapped in both contour plot (2-D) and surface plot (3-D).
Physicochemical analysis: Physicochemical analysis included proximate tests (water, ash, crude fat and protein contents) , sugar content analysis by Luff Schoorl method , color measurement by Hunter method , and pH value.
Sensory evaluation by hedonic-test : Hedonic test was carried out to evaluate sensory characteristics of product in several stages of research, i.e. product optimization, consumer acceptability and preference test. In product optimization, subjects were instructed to taste the samples and rank their aroma and test on the basis of line scale ranging from 0 (dislike extremely) to 8 (like extremely). The respondents were also asked to consume neutralizer prior to taste next sample.
In acceptability and preference test, subjects were instructed to taste samples and rate their aroma and taste on the basis of a 5-hedonic scale from 1 = dislike very much to 5 = like very much. The samples (selected GTD and commercial bajigur) were served in a hot condition.
Consumer acceptability and preference test: In this experiment, acceptability and preference test was conducted using survey method  combined with sensory (hedonic) test as mentioned above. The collected data included primary data obtained from the questionnaire using a written interview and the result of sensory test.
In this stage, the validated questionnaire was used, with a slight modification in product terminology. The respondents were untrained panelists and consumed GTD at least once in the last two months. The data from acceptance and preference test were then statistically evaluated using Fishbein and Wilcoxon method in SPSS 13.0 software.
Initial preference analysis of GTD was performed to determine
a GTD candidate for reformulation. GTD demonstrating the highest
score in each category was selected. The category was based on GTD
consumption frequency in a week, the amount of GTD consumed in
each serving, ethnic difference, and gender. The results showed that
bajigur was selected as the most preferable GTD and therefore, its
formula was optimized in further step. Based on the four selection
categories, bajigur conformed to three selection categories, while
sekoteng, bir pletok, and sarabba only conformed to two and one
selection category, respectively.
The result of total preference percentage (by ignoring the ethnic differentiation) also supported bajigur as the selected GTD to be optimized further. In term of number of respondents, the best preference was attributed to bajigur with 12 respondents (30%), sekoteng and bandrek with each 8 respondents (20%), wedang jahe and sarabba with each 5 respondents (12.5%) and bir pletok with 2 respondents (5%).
Fishbein (ei) evaluation score test was also performed in this preference step, enabling to guide better formula optimization. Evaluation score data (ei) of the selected GTD (bajigur) could be seen in Table 1. Two types of product attributes included internal (aroma, umami, sweet, ginger pungency, and color) and external (easy-to-get, served hot). Based on evaluation score data (ei), all attribute scores were positive which indicated that the attributes were considered important for bajigur. Among them, the pungency of ginger with 1.17 e i score was considered as the most important attribute by consumer
Therefore, it is regarded as the main target in optimization. Moreover, based on Table 1, it could be concluded that “served hot” as external attribute should be considered as important criterion for bajigur.
Umami seems to be the least important by consumer for choosing bajigur. Hence, it might be concluded that umami was not very important for the consumer. Therefore, in the next step of this study (consumer acceptability), umami was not included in the test. Another reason for eliminating umami in the following test was to avoid bias since untrained panelists could not distinguish between umami and salty taste.
GTD formula optimization was performed by mixture design
approach using Design Expert 7.0. (DX7) program. Ingredients of
GTD, including palm sugar, ginger and coffee, were included as
test variables with each ingredient in its own range. Test variables
were inserted with certain total amount, while the rest was a total
from fixed variables (coconut milk, salt and pandanus leaf). Fixed
variables were components whose composition was not changed in
In addition to optimize pungency flavor, the optimization aimed to produce optimum responses in color, sweetness and aroma. Therefore, palm sugar and coffee are also included as test variables.
Trial design using two repeated measurements without grouping consisted of 10 formulas, while the responses included average preference score of four attributes (response variable), i.e. color, aroma, pungency (ginger) and sweetness. The results of the experiment are presented in Table 2.
Each response variable was then analyzed in DX7 to get polynomial model with a suitable order (linier, quadratic, special cubic and cubic). The polynomial model was based on sequential model sum of squares [Type I], lack of fit tests and summary statistics.
As a result, DX7 offered the polynomial model with the best order for each response variable. Table 3 showed summary for attribute regarding order and model. Model with “prob>f” lower than 0.05 exhibited significant effect on the response . The model with significant difference could be used as prediction model in optimization step. Based on analysis of variance (ANOVA), the resulted model for color, pungency and sweetness responses could be statistically acceptable as prediction model. Model for aroma response was not utilized further due to the negligible effect of palm sugar, ginger, and coffee on aroma.
The optimization stage also aimed not only to minimize efforts or operational cost, but also to maximize desirability , ranging from 0 to 1 (least to most desirable, respectively). Desirability at value of approximately 1 indicates greater probability for obtaining desirable response value .
Based on the trial design and evaluation data (color, sweetness and pungency score) of 10 GTD formulas, DX7 displayed suggested optimum formulas, in which the best one (formula A) was achieved at desirability of 0.668. Formula A consisted of 80% coconut milk, 11.88% palm sugar, 5% ginger, 1.12% coffee, 1.5% salt and 0.5% pandanus leaves.
The desirability values were largely influenced by component complexity, range of the components, and desired targets. The range of treatment values was relatively not large, while the desired goal was expected to reach approximately 8. Consequently, the desirability value obtained in this study only reached 66.8% (0.668).
Profile of respondents: The respondent was randomly selected,
although the preferable subjects are from those who experienced on
consuming bajigur previously. This condition is needed because the
GTD formula produced from the modification of bajigur formula.
According to Stepherd and Spark , gender is one of the factors influencing one’s preference to certain food product. Based on gender, the respondents consisted of 60 female (60%) and 40 male (40%).
Furthermore, respondent’s age was not decided, considering that bajigur is consumed by wide range of ages (except for infant). In fact, the age of respondents was >15 years old since they are regarded capable of filling out the questionnaire and considered to be able to give comments without external interference. Most respondents consuming bajigur were 36-50 years old (37%), which was slightly higher than other age groups of 20-35 years old (29%), <20 years (26%) and >50 (8%). This results suggested that bajigur consumers were from wide range of age.
Regarding acceptability and preference of bajigur, the result indicated that most respondents consuming bajigur were dominantly from unworked group such as students and housewife (56%), followed by civil servant (16%), employee (14%), entrepreneur (12%), and retired man (2%). Based on monthly expenditure (rupiah per month), the bajigur consumers were classified as follows: <500,000 (29%), 1,000,001-1,500,000 (23%), 500,001-1,000,000 (20%), 1,500,001-2,000,000 (19%) and 2,000,000 (9%).
Furthermore, most respondents consumed the drink less than once a week. The result showed that the bajigur consumption frequency at less than once a week was voted by 64% respondents, followed by less than 3 times a week (32%) and 3 times a week (4%). This may be linked with the unfixed location of the bajigur street vendors because they often moved to other places; therefore, consumers only purchased bajigur when they could find the vendor. This was also supported by the result of survey, demonstrating that 94% of respondents purchased bajigur in street vendors, while others purchased it in supermarket (4%) and small shop or warung (2%). In case of amount, most respondents (69%) consumed bajigur at less than 250 ml, followed by 250-300 ml (29%) and 301-350 mL (2%).
Based on consumer’s acceptability to reformulated GTD, we noticed that 96% of respondents could accept the modified formula of GTD, while only 4% of respondents did not accept the product. Through direct interview, we found that their unacceptability was due to the changes in taste which are not familiar with their expectation.
The consumer’s acceptance and preference test in Bogor demonstrated that the optimum GTD formula could be accepted by consumers from various ethnics including Batavians, Javanese, Sumatrans, Borneo/Celebes and Sundanese. However, Sundanese seemed to be the biggest consumers (67%). In summary, the consumers of bajigur were female (60%) and their age was 36–50 years old (37%). Furthermore, they were also from non-working consumers (56%) and people with expenditure of <Rp. 500,000 per month (29%). Additionally, 71% of non-working consumers was female.
Fishbein multi-attribute analysis: Table 6 showed the results of Fishbein multi-attribute score (A0). The total number of attribute score of each attribute would be a total attribute score. According to , the higher total attribute score of a product increased the consumer preference.
Based on Table 6, total attribute score of reformulated GTD (3.44) was higher than commercial bajigur (1.25). It means that respondent preferred the reformulated GTD than the commercial bajigur. The result of this total Fishbein attribute was in accordance with attribute score prediction (response) in formulation optimization step by using DX7. Using DX7, the optimized GTD formula was predicted to produce optimum score in respondent evaluation towards each attribute/ response which is suitable with the respondent’s desire.
Wilcoxon test: Table 7 showed that Batavians and Borneo/ Celebes stated that no difference in preference between the two types of bajigur, reformulated and commercial, either in their aroma, sweetness, pungency (of ginger), color or overall attribute. In the other hand, the Javanese indicated that there was significant difference in their preference to aroma, pungency, color and overall attribute of the two GTDs. Only the sweetness attribute was found to have no difference in preference to both types of GTD.
Similar result was observed in Sundanese group. They seemed to be more familiar with bajigur, since this traditional beverage originated from West Java (Sunda area). The result of Wilcoxon test in Table 7 showed that the preference of all attributes was significantly different, except for aroma.
Regarding to Sumatrans, there was a difference in preference to pungency and overall attributes to both types of GTD, while there was no difference in aroma, sweetness, and color attributes. These different preferences by ethnical groups strongly indicated the correlation between ethnical culture (or eating habit) and product’s preferences. This was in line with the statement of Cardello , finding that sensory properties in food will be processed in the brain, which is influenced by the cultural factor.
Furthermore, most ethnics, except for Javanese, expressed that there was no difference in preference to aroma. This was in accordance with ANOVA prediction in formulation optimization using DX7 program, indicating that changes in components (palm sugar, ginger, and coffee) unaltered the preference of aroma. The evaluation in ginger pungency attribute showed a reversed result compared to aroma attribute. The pungency preference by most ethnics to both GTD samples was recorded as significant difference. This was supported by the result of Fishbein test (Table 6). The result showed that consumer preference score to pungency of reformulated GTD was much higher (0.57) in comparison with that of commercial bajigur (0.09). This finding also indicated that the optimization was carried out according to respondent preferences.
In this present work, bajigur was found to be the most desirable
ginger-based traditional drink by consumers compared to bandrek,
sekoteng, bir pletok, wedang jahe, and sarabba. The ginger pungency
in bajigur appeared as the most important attribute according to
The optimization of GTD formula based on aroma, sweetness, pungency and color produced a reformulated GTD with desirability value of 0.668. It was made of 80% coconut milk, 11.88% palm sugar, 5% ginger, 1.12% coffee, 1.5% salt, and 0.5% pandanus leaves, while its chemical composition was 63.05% moisture, 0.41% ash, 1.47% protein, 28.32% fat, and 5.81% sugar. Physically, the reformulated drink had a pH level of 5.96 and appeared in a range of red color with lightness value of 46.90 and 0Hue of 48.52. GTD optimum formula could be accepted by consumers from various ethnics (Batavians, Javanese, Borneo/Celebes, Sumatrans and Sundanese). We also found that the greatest percentage of bajigur consumer was Sundanese (67%), while difference in ethnics also influenced preference to each bajigur attributes. The reformulated GTD was more preferred (3.44) by the consumers compared to commercial bajigur (1.25). The reformulation of GTD according to respondent’s preference was achieved.
The authors acknowledge Program Riset Kolaborasi Indonesia and Hibah Kompetensi, Menristek-DIKTI.