Judul: Karakteristik fisik, kimia dan organoleptik sosis sapi dengan perendaman dalam substrat antimikroba Lactobacillus sp. (1A5) pada penyimpanan suhu dingin
Abstrak: Sosis adalah salah satu bahan pangan yang sudah banyak dikonsumsi oleh masyarakat dunia. Penggunaan nitrit sebagai bahan pengawet membuat sosis memiliki daya simpan yang lama. Setelah diketahui bahwa nitrit ini bersifat karsinogenik, maka dicari bahan alami alternatif untuk menggantikan nitrit. Substrat antimikroba Bakteri Asam Laktat Lactobaccilus sp. 1A5 diduga dapat menjadi bahan pengawet alami alternatif ini. Penelitian bertujuan untuk mengetahui sifat fisik, kimia, dan organoleptik sosis sapi dengan perendaman substrat antimikroba pada lama penyimpanan yang berbeda. Penelitian ini dilakukan di Laboratorium Ruminansia Besar, Fakultas Peternakan, dan Laboratorium Pusat Antar Universitas. Penelitian ini dilaksanakan pada bulan September 2008 sampai Maret 2009. Rancangan percobaan yang digunakan adalah Rancangan Acak Lengkap (RAL) Faktorial dengan 3 kali ulangan. Perlakuan yang diberikan ada dua yaitu perendaman sosis sapi dengan substrat antimikroba dan lama masa simpan dalam suhu 4°C selama 0, 5, dan 10 hari. Sifat fisik yang diamati adalah nilai pH, daya serap air, kekenyalan, dan aktifitas air. Sifat kimia yang diamati adalah kadar air dan bilangan peroksida. Sifat organoleptik yang diujikan adalah aroma, rasa, warna, kekenyalan, dan lendir untuk uji mutu hedonik. Sifat fisik dan kimia dianalisis ragam (ANOVA), kecuali bilangan peroksida menggunakan deskriptif, apabila berbeda nyata diuji lanjut Tukey. Sifat organoleptik menggunakan uji non parametrik Kruskal Wallis, apabila berbeda nyata diuji lanjut Gibbon. Hasil penelitian ini menunjukkan bahwa kedua faktor perlakuan berpengaruh sangat nyata terhadap nilai pH dan nilai bilangan peroksida, sedangkan untuk daya serap air, hanya faktor perlakuan perbedaan lama simpan saja. Kedua faktor perlakuan tidak berpengaruh nyata terhadap peubah fisik dan kimia lainnya. Hasil uji organoleptik berbeda nyata dari setiap kriteria mutu, kecuali pada kriteria lendir, tidak berbeda nyata.
Keyword: Beef sausage, Lactic acid bacteria, Refrigerated storage

Judul: Karakteristik Sifat Fisik, Kimia, Dan  Organoleptik Sosis  Sapi Dengan Pe rendaman Dalam Substrat  Antimikroba  Lactobacillus sp.  (1A5) Pada Penyimpanan  Suhu Dingin
Abstrak: Sausages are a food product that has been consumed by many people in the world. Sausages are normally processed with nitrite in order to keep them endure longer before they are consumed. After further study has been conducted, it is now known that nitrite contains elements that are carcinogenic, therefore further researches has been conducted to find an alternative for nitrite as a food preservative. Antimicrobial Subtract from Lactic Acid Bacteria Lactobacillus sp. (1A5) are suspected to be a natural form of alternative preservatives. Those conducted research are designed to study and explore the sausages physical, chemical, and sensory characteristics of the product, with submersion the sausages in antimicrobial subtract, then storing them at different period of time in refrigerated storage. This research gave a variety of result. The pH and peroxide level were very influenced by those two methods, while the water absorption was influenced by the different period of time method, only. Those two methods were not significantly affected to physical and chemical component. The sensory test has a different result in every criteria of quality, except the ooze level and firmness that are not significantly different.
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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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