Judul: The Incorporation of Oleic Acid and Anthocyanin in Gelatin Film for Bekasam pH Monitoring
Abstrak: This study was aimed to develop and investigate the characteristics of the gelatin film with oleic acid (OA) and anthocyanin extract incorporation and its application for Bekasam pH monitoring. Anthocyanin was extracted from red cabbage (RC), sweet potato (SP), black bean coat seed (BB), and purple rice (CR) and then tested for pH sensitivity. Anthocyanin from SP was selected as showed the highest pH sensitivity. Gelatin film was incorporated with 20% of anthocyanin extract and 50% OA then characterized in comparison with control, and film with only OA or anthocyanin extract. The film with OA and anthocyanin extract incorporation was selected for application as the color changes can be observed clearly at pH 2-11. Red color was present on the film added with anthocyanin extract from SP. OA incorporation significantly decreased the elongation of the film, while it is on the contrary for anthocyanin extract incorporation. Both OA and anthocyanin extract incorporation decreased thickness, moisture content, and tensile strength of the film significantly (p<0.05). Additionally, there was a reduction trend of water vapor permeability for gelatin film incorporated with OA and anthocyanin. However, this reduction was insignificantly different with the control (p>0.05). The incorporation of OA provided wavier surface while anthocyanin extract incorporation enhanced the compactness and smoothness of the film, and provided smoother surface of the film. Higher enthalpy was needed for melting the film with anthocyanin extract. The film was unable to provide the color changes corresponding to the pH decrease of Bekasam during fermentation for 7 days.
Keyword: Anthocyanin, Bekasam, gelatin film, intelligent packaging, oleic acid

Judul: Edible Film Komposit Pati TapiokaAgar Kertas Terplastisasi Gliserol dan Limonena
Abstrak: Edible film is a food packaging material which can be consumed directly. The objective of this research is to composite edible film with tapioca starch, agar and plasticizers, namely glycerol and limonene. Edible film was made in 2 conditions, by adding fixed agar constituent (10%w/w) and fixed glycerol constituent (10%w/w), while other parameters were varied. Thermal analysis, specific gravity, tensile strength, water vapor permeability, and morphology of edible film were analyzed as it was applied for strawberry packaging. The addition of agar increased the specific gravity and tensile strength of edible film but percentage of elongation and water vapor permeability decreased. The composition of agar:glycerol:limonene (10:5:5) (%w/w) showed high tensile strength and specific gravity but low water vapor permeability. Thermal analysis showed decreasing of melting point was occurred when the concentration of limonene was increased. In addition, single melting point peak showed edible film was homogenous, this result was supported with morphology analysis. Edible film which was made of agar:glycerol:limonene (10:5:5) (%w/w) composition resulted in the longer shelf-life of strawberry for 3 days
Keyword: Bogor Agricultural University (IPB), tapioca starch, glycerol, edible film, agar

Judul: Real Option Valuation Using Binomial Decision Trees.
Abstrak: A firm that decides to invest has a choice to invest in real assets. A method which is usually used in valuation of the project is discounted cash flow (DCF) method. But, this method can’t be used in projects that account for value of managerial flexibility, such as decision to suspend operations temporarily. Therefore, this kind of project needs to be assessed using real option. Real option valuation can be done in some ways, including the use of path-dependent simulation, as well as closed-form models like Black-Scholes model, partial differential equation, and binomial or multinomial approaches. In this paper, real option valuation using binomial decisions id discussed. Determination of the project value can be done in three steps. First, calculate the expected present value of the project. Next, calculate volatility of the project using Monte Carlo simulation. Last, construct a binomial tree to model the dynamics of the project value using the parameters of the stochastic process, and then add some decision nodes to model the project’s real options.
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