Judul: Pengembangan Model Bisnis Produk Manisan Belimbing Manis (Averrhoa carambola L) Kering
Abstrak: Star fruit is one of agricultural commodity which is perishable, that leads to quality declining and limited availability in market. Dried-candied star fruit processing is one of technology process alternatives in order to extend product shelf life. The research was based on technopreneurship program and consisted of three main stages such as initial business model identification, product profile development, and business model development. Initial model business was identified by determining assumptions of nine business model elements. Product profile development stage generated the best formula of dried-candied star fruit was immertion fruit in a solution of lime 0,1% for 1 hour with concentration of sugar solution 30%. Result of business model development in value propositions were as snack which is expected to be healthy and practical, free of preservatives, and contain vitamins for human body endurance. Customer segments were women aged 19–45 years old who would like to consume snacks and fresh or processed fruits. Revenue streams obtained by selling the product in channels such as sweet confectionary store, gift shop, retailer, and wholesaler.
Keyword: star fruit, dried-candied, business model

Judul: Pengembangan hidden markov model untuk pengenalan tingkat kemanisan buah belimbing
Abstrak: Starfruit (Averrhoa Carambola L) is one of agroproducts which is useful for many people. The fruit looks like a star when it is sliced athwartly. In post-harvest, one of the most important treatment is to classify the fruits based on its sugariness. This treatment aim is to give the best quality information of fruits. In this research, the characteristics of starfruit that can be used to indicate its sugariness is the color intensity. Fruits are grouped by size and ripe phase. In each group, starfruit pictures are analyzed based on their components, (red), (green), and (blue). These components are used to determine the total soluble solids using linear regression. Then the total soluble solids are used in order to determine the sugariness of the fruits. Certainly, an intelligent method is needed to solve this problem. Hidden markov model (HMM) is one the most popular method to recognize some instance in pattern recognition. By using HMM, the sugariness of the fruits can be detected. In order to compare accuracy of HMM, this research uses some different HMMs based on its sum of the hidden state. Finally, conclusion of this research is that the HMM gives good result to recognize the starfruit sugariness and it reaches the maximum accuracy of 75%.
Keyword: Starfruit, Linear regression, Hidden markov model(HMM), Bogor Agricultural University

Judul: Approximation of the Median of Poisson Distribution Using the Relation of Poisson-Gamma Distribution
Abstrak: A major drawback of median is that median cannot usually be defined in closed form, even in the cases where their distribution functions are known. This study gives an approximation of the closed form for the median of the Poisson distribution by using the relation of Poisson-Gamma distribution. The approximation uses elementary techniques based on the monotonicity of certain sequences involving tail probabilities of the Poisson distribution and the Central Limit Theorem. Furthermore, a closed form expression for the mean absolute deviation 􀜧|􀜰􀰒 􀵆 􀜯􀝁􀝀􁈺􀜰􀰒􁈻| is also studied. The median is relevant because of the fact that it minimizes the mean absolute deviation of a Poisson random variable (􀜰􀰒􁈻 by considering median as central tendency.
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