Organic Brown Rice (OBR) is whole grain of organic rice with the inedible outer hull removed. Though it is evident that OBR is better than white rice, most consumers choose white rice because of its appearance. OBR has a shelf life of approximately six months, but hermetic storage, refrigeration or freezing can extend its lifetime. Sensory evaluation is one of the effective tools to measure the quality parameters in grains. This study is aimed at determining the dominant attributes that can be used as quality parameters and packaging appropriate for several varieties of OBR. Projective mapping was used to assess three varieties of OBR (Ciherang, Pandan Wangi, and Mentik Wangi). Three types of packaging, viz., Polyamide (PA) Vacuum (0.35±0.005 mm), Low Density Polyethylene (LDPE) Zipper (0.15±0.005 mm), and plastic boxes High Density Polyethylene (HDPE) (2.16±0.005 mm) were used in these studies. Thirty-four voluntarily naïve panelists (47% male and 53% female; age between 18-24 years) participated in these studies. MFA and HCA on Principal Component were used to obtain the properties position of OBR, as well as different storage times. The result shows that panelists were consistent and able to distinguish between varieties as well as different packaging during 12 weeks of storage. Aroma and colours become the dominant attributes in distinguishing OBR during 12 weeks of storage. PA Vacuum and HEPE packaging accounts for the lowest loss of moisture content and delays the increase of free fatty acid. This study proved that the sensory evaluation method can determine the quality of OBR.

Keywords—Multifactor Analysis, napping, organic brown rice; storage; sensory evaluation.

AACCI 58-15.01 International Approved Methods Determination of Free Fatty Acids.

Amelia, P, David W, Ardiansyah. 2017. Sensory quality of brown rice Inpari 24 after 3 months of storage. Asia Pacific of Journal sustainable agriculture food and energy.; 5 (2) 9-13

Astawan, M and Febrinda A E. 2010. Potensi dedak dan bekatul sebagai ingredient pangan dan produk pangan fungsional. Jurnal Pangan 19 (1): 14-21.Collins, S.J., Bester, B.H. and McGill, A. E.J. 1993. Influence of psychotropic bacterial growth in raw milk on the sensory acceptance of UHT skim milk. Journal of Food Protection 56 (5): 418-425.

Bergonio, K.B., Lucatin, L.G.G., Corpuz, G.A., Ramos, N.C., dan Duldulao, J.B.A. 2016. Improved Shelf Life of Brown Rice by Heat and Microwave Treatment. Published by Faculty of Biotechnology and Food Science

Chrastil, J. 1990. Protein-Starch Interaction in Rice Grains. Influence of Storage on Oryzenin and Starch. Journal of Agricultural and Food Chemistry.

Cuyno, R. 2003. The Campaign to Combat Hidden Hunger through Brown Rice. Consultative Meeting on Nutritional Aspect of Brown Rice, at Food & Nutrition Research Institute, Manila Philippines.

David W and Ardiansyah. 2017a. Organic agriculture in Indonesia: challenges and opportunities. Organic Agriculture. 7 (3), 329–338.

David W and Ardiansyah. 2017b, Perception of young consumers towards organic food in Indonesia. International Journal of Agriculture Resources, Governance and Ecology. (13) 4, 315

Dehlholm C, Brockhoff B, Meine L, Aaslyng, Margit D, Bredie Wender L. P. 2012. Rapid descriptive sensory methods – Comparison of Free Multiple Sorting, Partial Napping, Napping, Flash Profiling and conventional profiling. Food Quality and Preference Vol. 26, No. 2, 267-277.

Garcia, R. 2013. Shelf-life Extension of Brown Rice. PCIEERD Technology Promotion Activity.

Husson et al 2014. SensoMineR: sensory data analysis with R. R Package version 1.20.

Liu L., Guo J., Zhang R., Wei Z., Deng Y., Guo J., Zhang M. 2015. Effect of degree of milling on phenolic profiles and cellular antioxidant activities of whole brown rice. Food Chemistry. (185) 318- 325.

Le S and worck, 2014. The R Series: Analyzing Sensory data with R. Taylor and Francis Group. New York. CRC Press.

Le S, Hussin F. 2008. Sensominer: A package for sensory data analysis. Journal of Sensory Studies. 23 (1) 14-25.

Meilgaard et al 1999. Sensory evaluation technique 3rd edition. Wasington DC: CRC Press.

Nestud and Lawless. 2010. Perceptual Mapping of apple and cheese using projective mapping and Sorting. Journal of Sensory study. 25:309-324.

Pino G., Peluso A.M., Guido G. 2012. Determinant of regular and occasional consumer’s intentions to buy organic food. Journal Consum Aff. 46 (1): 157-169.

Sinija VR, Sulochana S, Shwetha MS. 2017. Engineering properties of brown rice from selected Indian Varieties. In: Manickavasagan A., Santhakumar C., Venkatachalapathy N. (eds) Brown Rice. Springer, Cham

SNI 6128-2015 Standar Nasional Indonesia 2015. Beras. SNI 6128 2015.

Stolz H., Stolze M., Janssen M., Hamm U. 2011. Preferences and determinants for organic, conventional and conventional-plus product-the case of occasional organic consumers. Food Quality Preference. 22 (8): 772-779.

Tauscher B., Brack G., Flachowsky G., Henning M., Koepke U., Meier-Ploeger A., Muenzhing K., Niggli U., Pabst K., Rahmann G., Willhoerf C and Mayer-Miebach E. Bewertung von Lebensmitteln verschiedener Herkunft. Statusberict 2003. BMEL-senatsarbeitsgruppe Qualitative Bewertung von Lebensmitteln aus alternativer und konventionaller Produktion. Final Report, Karlsruhe.

Torjusen H., Sangstad L., O’Doherty-Jansen K and Kjaenes U. 2004. European consumers perception of organic food: a review available research. Project report 4- 2004 for national institute for consumer research. Oslo, Norway.

Worch, T. 2013. PrefMFA, a solution taking the best of both internal and external preference mapping techniques. Food Quality and Preference. 30 (2) 180-191

Zagata L. 2012. Consumers beliefs and behavior institutions toward organic food. Evidence from Czech Republic. Appetite, 59 (1): 81-89.

Zhout, Z., Robards, K., Helliwelt, S., and Blanchard, C. 2001. Ageing of Storage Rice: Changes in Chemical and Physical Attributes. Journal of Cereal Science.; 33.