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Burhan Burhan
Jurusan Teknologi Industri Pertanian, Universitas Trunojoyo Madura

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PREFERENSI KONSUMEN TERHADAP PANCAKE DARI TEPUNG SUKUN Sitti Rosipah; Burhan Burhan; Umi Purwandari
AGROINTEK Vol 7, No 1 (2013)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v7i1.2050

Abstract

Preference of food product is influenced by personal characteristics (age, sex,education, income, and nutrient knowledge), food characteristics (taste, shape, and texture) andalso surroundings characteristics (job, number of family, mobility, and season). Pancake hassome attributes such as texture, colour, taste, and aroma. These attributes will influenceconsumer likes. The aims of this research are to determine the attributes of consumerpreference appraisal and to know the order of consumer preference toward pancake made ofbreadfruit flour. The method used in this research is conjoint analysis. Attributes and theirlevel is determined by asking for some respondents (questionaire) to collect data of consumerpreference of this product. The results (measured by utility value) of this research are: texture(rather soft) 0,029; colour (golden yellow) 0,112; taste (sweet) 0,021; and aroma (usual) 0,566.The priority of consumer’s decision making toward pancake made of breadfruit are: aroma(49,745%), texture (19,925%), colour (19,628%), and taste (10,702%).
MODEL P BACK ORDER DAN ALGORITMA PERMASALAHAN INVENTORI DENGAN MEMPERTIMBANGKAN ONGKOS TRANSPORTASI (FIXED AND VARIABLE COST) – PERMINTAAN PROBABILISTIK Burhan Burhan
AGROINTEK Vol 4, No 2 (2010)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v4i2.1370

Abstract

P Model of inventory for solving problem of controlling inventory is taking into account a probabilistic consumer’s demand. Transportation cost is included in calculating of total inventory cost. The solution of this model is done by Hadley – Within method. Thedecision variables of this research are: time period of ordering, the maximum inventory in hand, and the safety stock. A numerical example is provided to illustrate model mechanism in determining these decision variables. According to the numerical example, it can be concluded that there is saving of inventory total cost, by comparing the result to the existing model.