Analysis on Intention of Purchasing Organic Foods by the Undergraduate Students of IPB Using the Theory of Planned Behavior Approach

This study aims to identify factors that can increase the intention of buying organic foods and its implications in the design of organic food marketing strategy. The main model adopts Theory of Planned Behavior. Six variables were used in this study, namely, health awareness, environmental awareness, attitudes toward organic foods, subjective norms, perceptions of behavior control and organic food purchase intentions. The data to test the research model were collected from 140 respondents and were analyzed using statistical structural equation modeling method. The results of the study indicate that health awareness, environmental awareness, attitudes on organic foods, subjective norms and behavior control perceptions significantly influence the intention of buying organic foods. Furthermore, health awareness and environmental awareness have no significant effects on organic food purchase intention. The results of this study then become the basis in designing strategies to build a positive attitude on organic foods, subjective norms, and perceptions of consumer behavior control of organic foods that is by promoting organic foods through online or on certain events, creating new innovations so that the foods look attractive, and broadening market reach for organic food products to be more easily available.


INTRODUCTION
Currently, health is the most important aspect and sought after by the community because it starts many diseases that appear and attack. A number of diseases that arise, among others, are the result of people's consumption of unhealthy foods. Now most people are beginning to turn to a healthy lifestyle because they do not want to get diseases. Healthy lifestyle that is applied includes eating healthy foods and doing exercises. To maintain their health, people usually consume fruits and vegetables, but nowadays fruits and vegetables also contain a large number of substances/ chemicals derived from the remaining pesticides and chemical fertilizers used during the production process which are not good for health and may also pollute the environment (Melisa, 2014).
Indonesian National Standard or SNI on organic foods (2002) states that organic is a labeling term stating that a product has been produced in accordance with WKH RUJDQLF IRRG V\VWHP VWDQGDUGV DQG FHUWL¿HG E\ DQ 2UJDQLF &HUWL¿FDWLRQ $JHQF\ /62 DFFUHGLWHG E\ WKH National Accreditation Committee (KAN). All organic food production processes are carried out naturally and should meet the established international requirement guidelines.
Organic food market in the world has a tendency to increase. Although organic food farming is not a big EXVLQHVV LW VKRZV D VLJQL¿FDQW LQFUHDVH LQ LWV PDUNHW (Hasrini and Setiaboedhi, 2017). In 1997, the new organic food market was worth approximately USD10 billion, but in 2013, the market reached approximately USD 72 billion (IFOAM, 2015). Meanwhile, world demand for organic agricultural products has grown by approximately 20% per year (Idaman et al. 2012). In Indonesia itself, organic farming programs are supported by the government, one of which is by arranging the standard organic farming system (Muzayanah et al. 2015). Nevertheless, the market share of organic food in Indonesia only grows about 5% per year, with a sales value of about Rp10 billion (Handriana, 2014). This is because organic food products have their own characteristics which becomes a challenge in marketing the products. The main factor that greatly weakens the position of organic foods compared with non-organic foods is the price (Hasrini and Setiaboedhi, 2017). Organic foods generally charge higher prices than nonorganic competitors because of higher raw material costs and/or more complicated processes. The combination of KLJKHU SULFHV DQG LQWDQJLEOH EHQH¿WV SXWV RUJDQLF IRRG products to a lower position than non-organic products in the consumer's decision making process (Sari and Firmanzah, 2011).
Based on the theory of Planned Behavior (TPB), the actual behavior of a person in performing a particular DFWLRQ LV GLUHFWO\ LQÀXHQFHG E\ KLV EHKDYLRU LQWHQWLRQ which is jointly determined by attitude, subjective norm and perception of behavioral behavior (perceived behavioral control) of the behavior. Behavioral intention is a measure of one's willingness to exert efforts when performing certain behaviors (Lee, 2008). Meanwhile, $M]HQ GH¿QHV LQWHQWLRQ DV D PRWLYDWLRQDO IDFWRU WKDW LQÀXHQFHV EHKDYLRU WKDW LV LQGLFDWHG E\ KRZ KDUG people will try or how much effort is spent to perform a behavior. Attitude is a person's assessment on behavior WKDW LV SUR¿WDEOH RU QRW SUR¿WDEOH 7KH VXEMHFWLYH QRUPV DUH GH¿QHG DV D VRFLDO SUHVVXUH WKDW D SHUVRQ SHUFHLYHV in a behavior (Lee, 2008).
The last model of TPB has been empirically tested through validation, palication and replication process by many researchers according to Weng et al. (2014) and has also been tested by Lee and Yun (2015), Irianto (2015) and Kim and Chung (2013). Else and Sihombing (2016) in their analytical studies integrate subjective norms on attitudes to buy and combine several other variables such as awareness of the environment, consumer perceptions, and health awareness. The study shows that consumer perceptions and attitudes to buy have a positive relationship to purchase intentions.
Sari and Firmanzah (2016) adopted the TPB model in this research and added the perceptions of risk and usefulness to credit card usage intentions, as independent YDULDEOHV WKDW LQÀXHQFH WKH GHSHQGHQW YDULDEOH RI LQWHQW on usage. Furthermore, Carolyn et al. (2013) in their study found that the moderate perceieved behavioral FRQWURO KDG QR LQÀXHQFH RQ EX\LQJ LQWHUHVW LQ RUJDQLF self-care products. Indrasari (2016) in her research shows that there is a difference between respondents who choose inorganic and organic vegetables.
The variables used in this study included health awareness variables, environmental awareness, attitudes on organic foods, subjective norms, perceptions of behavior control and purchase intentions. Thus, the research model used here is different from that of the previous studies i.e. by using the basic model of TPB because it utilized the IPB student respondents who have a single tuition (UKT) of at least seven million rupiahs. Previous research used as the basis of this research model was conducted by Else and Sihombing (2016) with an attitude variable to buy, subjective norms and combination of several variables such as awareness of environment, consumer perception, DQG KHDOWK DZDUHQHVV ZKLFK LQÀXHQFH WKH LQWHQWLRQ to buy organic foods in Y generation. Irianto (2015) uses health awareness, environmental awareness, organic food prices, buying attitudes, subjective norms, and differences in attitudes in the intention of purchasing organic food products between female and male consumers. Furthermore, Indrasari (2016) uses consumer perception variable toward inorganic DQG RUJDQLF YHJHWDEOHV PDUNHWLQJ PL[ LQÀXHQFH consumer's attitude and buying interest toward buying decision of inorganic and organic vegetables in Bogor City. In this study, the writers used buying intentions LQÀXHQFHG E\ KHDOWK DZDUHQHVV HQYLURQPHQWDO awareness, attitudes toward organic food, subjective norms and behavioral control perceptions. Organic IRRG DWWLWXGHV DUH LQÀXHQFHG E\ KHDOWK DZDUHQHVV and environmental awareness as research variables. Therefore, this study aims to explore the factors that can increase the intention of the IPB S1 students from upper middle class in purchasing organic foods, as well as the implications in the design of marketing strategies, especially organic food products.

METHODS
The output of this study is the factors that need to be considered in the approach of using Theory of Planned Behavior for organic products that can increase purchasing intentions from consumers. For this reason, a research consisting of two stages in which in the ¿UVW VWDJH LGHQWL¿FDWLRQ RI IDFWRUV WKDW LQÀXHQFH WKH intention to buy organic foods was conducted. At this stage, research was conducted using the quantitative research method, which is a method of research to test certain theories through testing the relationship between variables using the research instruments (Creswell, 7KH REMHFWV RI WKH UHVHDUFK LQ WKLV ¿UVW VWDJH were students who had a single tuition (UKT) of at least seven million rupiahs. The respondents were S1 undergraduate students. The primary data needed in this research were obtained through a survey method with the aid of measurement instrument in the form of questionnaire. The questionnaire consisted of two parts ZKHUH WKH ¿UVW SDUW ZDV LQWHQGHG WR ¿QG RXW WKH SUR¿OH of the respondents, and the second part contained questions related to the research model.
An online questionnaire was created in Google Docs with links. The link was distributed through the Email application which aims to simplify and accelerate the distribution of the questionnaire. Data collection through questionnaires was conducted at IPB campus, and the distribution of questionnaires was conducted from July to August 2017.
The variables used in this study included health awareness, environmental awareness, attitudes on organic food, subjective norms, perceptions of behavior control and purchase intentions. The dependent variables in this research included the buying attitude of organic foods and the intention to buy organic food. The measurement instrument of each variable used the semantic differential measurement scale (1 = Strongly Disagree, up to 5 = Strongly Agree). Health awareness was measured by 5 indicators, environmental awareness was measured by 5 indicators, attitudes on organic food were measured by 4 indicators, subjective norms were measured by 4 indicators, perception of behavior control were measured by 5 indicators, and the intention to buy organic food was measured by 5 indicators. Details of the indicators of each variable can be seen in Table 1.
The sampling method used was judgment sampling, and S1 IPB students with a single tuition (UKT) of at least seven million rupiahs were chosen. The minimum number of samples taken refers to Hair et al. (2010), WKDW VWDWHV WKDW WKH QXPEHU RI VDPSOHV WDNHQ DW OHDVW ¿YH times the number of parameters analyzed, and it will be more satisfactory if the number of sample is multiplied by ten times. General rules apply to multivariate DQDO\VLV WHFKQLTXHV LQ JHQHUDO QRW VSHFL¿F WR VSHFL¿F multivariate techniques. This study used 28 parameters in the form of questions in the questionnaire; thus, the minimum number of samples taken was 28 × 5 = 140 samples by using the ratio of the number of samples with the parameter equal to 5:1. The data from the questionnaire were then processed using the quantitative analysis methods, namely, descriptive and inferential statistical analyses. -Always think about personal health (KK1) -Be alert to health changes (KK2) -Be aware of health condition throughout the day (KK3) -Always check your health regularly (KK4) -Always pay more attention to health (KK5) Environmental awareness (KL): environmental concerns resulting from QRQ RUJDQLF IRRGV WKDW ZLOO LQÀXHQFH WKH environment.
-Participate in efforts to reduce environmental damage (KL1) -Engagement in current environmental activities will help save the environment for future generations (KL2) -Environmental preservation means great (KL3) -Environmental preservation must be improved in Indonesia (KL4) -Being angry against the way that an industry pollutes the environment (KL5) Organic food attitudes (SP): evaluation of favorable or unfavorable assessments of organic foods.
-Organic foods are preferred because they contain a lot of nutrients (SP1) -Buying organic foods is healthier (SP2) -Organic foods are preferred because they are natural food products (SP3) -Eating foods that are free from synthetic preservatives is important (SP4) Subjective norm (NS): refers to the perceived social pressure to engage in or not to engage in organic food purchasing behavior.
-Awareness of the risks arising from consuming non-organic foods (KP1) -Having enough time to choose organic foods to be purchased (KP2) -Buying organic food is entirely self-control (KP3) -Having enough money makes it easier to buy organic foods (

RESULT
The results of the processed data on the respondent SUR¿OH VKRZHG WKDW RI WKH UHVSRQGHQWV ZHUH females, and 58% of them had a single tuition fee (UKT) ranging from IDR7,000,001 to IDR9,000,001. Reliability testing in the actual research was conducted by looking at the values of Cronbach's alpha and corrected-item total correlation. The corrected-item value of the total correlations is greater than 0.30 (Tsiouris et al. 2003). Table 2 shows the results of the actual research reliability test. While the validity test of actual research was carried out by loading factor, AVE, and CR to test the validity of convergent, discriminant validity was tested using Pearson correlation. The loading factor values used in the EFA testing were adjusted to the number of research samples. There were 140 respondents taken as the samples of the research.
There are two stages of analysis in the SEM method, namely, the measurement model and the structural model (Hair et al. 2006). The measurement model test LV GRQH E\ &RQ¿UPDWRU\ )DFWRU $QDO\VLV &)$ DQ analytical tool to test how well the measured variable can describe the concept in small quantities (Hair et al. 2006). The CFA result is also seen from the SEM worthiness index value. The indeces used in this research included RMSEA, GFI, AGFI, and CFI. The followings are the results of these indices: GFI = 0.93; AGFI = 0.92; RMSEA = 0.07; CFI = 0.96; therefore, it can be concluded that the model meets the minimum criteria for absolute match: RMSEA value is less than 0.8, and GFI and CFI values are over 0.9 (Wijayanto, 2008). For the validity test, all absolute values of t are greater than or equal to one and the standardized loading factor is more than 0.5. Wijayanto (2008) and Hair et al. (2010) state that the minimum acceptable factor loading factor is 0.5. The result of reliability test shows that construct reliablity is > 0,7 and variance extracted is > 0.5. Because the conclusion of several GLPHQVLRQV UHVXOWHG LQ WKH FRQFOXVLRQ RI JRRGQHVV RI ¿W model, hypothesis testing could be conducted.  Hypothesis testing shows that of the seven hypotheses prepared, two hypotheses are not supported. Unsupported hypothesis included hypothesis 3 and hypothesis 4 while the hypotheses supported included hypothesis 1, hypothesis 2, hypothesis 5, hypothesis 6 and hypothesis 7. Hypothesis 1 states that there is a positive relationship between health awareness with attitudes on organic foods. The results of hypothesis 1 were supported. Along with the development of the organic food market, questions arise on the reasons why someone purchases organic foods (Mc Carthy DQG 0XUSK\ 7KHUH DUH DW OHDVW ¿YH PRWLYDWLRQV in the purchase of organic foods, namely, taste factor, IRRG VDIHW\ KHDOWK EHQH¿WV HQYLURQPHQWDO IDFWRUV DQG ethics (McEachern and McClean, 2002). The third-UDQNHG PRWLYDWLRQ LV KHDOWK EHQH¿WV WKHUHIRUH LW FDQ be said that health awareness becomes one of the main motivations to encourage a positive attitude toward organic foods.
The results of Hypothesis 2 test state that there is a positive relationship between environmental awareness and attitude on organic foods. Hypothesis 2 is a supported hypothesis, and this can be due to the importance of cleanliness of the surrounding environment so that the beauty of the environment can be felt by the young generation of the future.

Figure 2. Evaluation of SEM Results
Hypothesis 3 states that there is a negative relationship between health awareness and purchase intentions, but the results of this hypothesis are not supported. The reason why this hypothesis is not supported is because someone who has a healthy lifestyle tends to choose healthy foods such as fruits and vegetables and does regular physical exercise or exercise (Divine and Lepisto, 2005). Health awareness depends not only on the type of food consumed alone, and physical activities such as sports are also considered to be a form of health awareness. Thus, the consumption of organic food is not the only factor that determines a person has health awareness or not (Eles and Sihombing, 2013). Previous research has also shown no positive relationships between health awareness and organic cosmetic buying intentions (Putri, 2016).
Hypothesis 4 states that there is a negative relationship between environmental awareness and purchase intentions; howver, the results of this hypothesis are not supported. This hypothesis is not supported because organic foods are focused only on their environmentally friendly products, so the consumers of organic foods are known to use environmentally friendly materials only but not for their healthful ingredients or good health effects.
Hypothesis 5 test result states that there is a positive relationship between attitude on organic food with purchase intentions. This hypothesis is a supported hypothesis. Intentions can be accurately predicted when attitudes toward intentions are high. Consumers tend to do a behavior if the person has a a positive attitude toward the behavior (Kim and Chung, 2011). This is caused by the attitude which is the basis of the formation of one's intentions. A positive attitude toward organic food will encourage consumers' intention in purchasing organic foods (Wijaya, 2014). The results of previous studies also found a positive relationship between buying attitudes and buying intentions (Jin and suh, 2005;Tarkiainen and Sundqvist, 2005;Chow and Chan, 2008;Michaelidou and Hassan, 2008;Han et al. 2010;Kim and Chung, 2011;Wijaya, 2014;Irianto, 2015). The next reason is the attitude to buy is an individual evaluation. Such evaluations may arise from personal experience. When a person has an experience in consuming organic food it will arise a positive evaluation of the product. Positive evaluation is what then encourages the intention of individuals to repurchase (Budiman and Wijaya, 2014).
The result of hypothesis test 6 states that there is a positive relationship between subjective norm and purchase intention. This hypothesis is a supported hypothesis. Hillhouse et al. (2000) in the context of behavior related skin management said that if the group of referents or individuals whose opinions are considered important by consumers like the food, the consumer's intention to buy the food will be greater. It can be concluded that the opinion of referent people RU JURXSV WKDW DUH FRQVLGHUHG LPSRUWDQW DQG LQÀXHQWLDO for consumers to like or agree to the consumption of organic foods will encourage their purchase intention.
Hypothesis 7 states that there is a positive relationship between the perception of behavioral control and purchase intentions. This hypothesis is a supported hypothesis. The emergence of consumer perceptions that organic foods are healthier than non-organic foods. Organic food itself is food free of pesticides and other FKHPLFDOV &DUULQJWRQ DQG $UQHWW VR WKH EHQH¿WV of organic food for health become the consumers' motives to make purchases (Paul and Rana 2012). The results of previous studies also found a positive relationship between subjective norms and purchasing intentions (Kim and Chung, 2011;Eriyani and Wiyono, 2014).

Managerial Implications
There are four applied implications of this study that organic marketers need to pay attention in terms of consumer purchase intentions. Firstly, one positive DWWLWXGH RI FRQVXPHUV WR RUJDQLF IRRG LV LQÀXHQFHG by health awareness and environmental awareness. Providing detailed information on organic foods can be carried out by marketers to maintain the products. Furthermore, it is also important for marketers to list the EHQH¿WV RI FRQVXPLQJ WKHP 7KXV FRQVXPHUV REWDLQ DQ XQGHUVWDQGLQJ RQ ZKDW EHQH¿WV DUH REWDLQHG ZKHQ consuming organic foods. A lack of understanding on WKH EHQH¿WV RI RUJDQLF IRRGV FDQ EH WKH FDXVH RI WKH ORZ purchase intentions of the foods. Secondly, sometimes consumers prefer non-organic foods than organic foods that have higher prices than non-organic foods. One of the actions that a marketer can do is by promotion. Promotion can be done through posters, banners, or special promotions at certain time. The goal is to increase consumer sensitivity to organic food. Thirdly, the ease in purchasing organic foods also needs to be considered. Marketers must be able to reach a wider market so that consumers can obtain organic foods more easily. If the organic food is limited in a certain place, marketers must perform a wider distribution strategy. For example, making an intensive distribution of organic foods in large supermarkets such as Carrefour, Hypermart, Foodmart, and so forth. Fourthly, retail and marketers can work together to see the development of sales in a certain period.

Conclusions
7KLV VWXG\ DLPV WR LGHQWLI\ WKH LQÀXHQFHV RI KHDOWK awareness, environmental awareness, and attitudes on organic foods, subjective norms, and perceptions of behavior control. The results show that health awareness and environmental awareness have a positive relationship to attitudes over organic foods. Then, the DWWLWXGH RI RUJDQLF IRRG KDV D SRVLWLYH LQÀXHQFH RQ WKH purchase intention of organic food, subjective norm DOVR SRVLWLYHO\ LQÀXHQFHV WKH LQWHQWLRQ RI SXUFKDVLQJ organic food. In addition, perceptions of consumer EHKDYLRU FRQWURO DOVR SRVLWLYHO\ LQÀXHQFH WKH LQWHQWLRQ of purchasing organic foods. Of the seven hypotheses prepared, there are two unsupported hypotheses i.e. the relationship of the awareness of the environment and health toward the purchase intention.

Recommendations
This research is also inseparable from limitations, DQG WKHUH DUH IRXU OLPLWDWLRQV LQ WKLV VWXG\ 7KH ¿UVW limitation is the objects of this study are organic foods which include vegetables, fruits and food using organic materials. Thus, these organic foods do not represent other organic products. Therefore, the results of this study can only be implemented on organic foods alone. The second limitation is that the samples in this study were students of S1 IPB with an average age of 18-21 years old. The samples used in the study tend to be homogeneous. The third limitation is that the results of this study cannot be generalized at the population level but only applicable to study respondents only. The last limitation is that the researcher did not do the research until the purchasing behavior.