Judul: Isolasi dan Identifikasi Bakteri Asam Laktat Dangke Asal Kabupaten Sinjai Sulawesi Selatan
Abstrak: Dangke is an Indonesian traditional food from Sinjai South Sulawesi made from buffalo and bovine milk. This product is made by clotting boiled milk with fresh fruit leaves juice of Carica papaya (papain enzyme) as coagulant. An experiment was conducted to analyze the physics characteristics of dangke, isolate and identified Lactic Acid Bacteria (LAB) from original dangke. BAL isolates were futher identified and characterized its growth at different temperature conditions and concentration of NaCl 6.5%. This experiment was arranged in a factorial completely randomized design and consisted of 3 treatments of incubation temperature (10 ºC, 37 ºC, and 45 ºC), each treatment in 3 equal replicates. Data was analyzed by analysis of variance (ANOVA) and continued to Tukey HSD. Data of bacterial growth in concentration of NaCl 6.5% was analyzed by T-test. Result identification showed that species of LAB isolated from dangke were Pediococcus pentosaceus MSS 1 and Pediococcus pentosaceus MSS 2. It is concluded that P. pentosaceus MSS 1 and P. pentosaceus MSS 2 were mesophiles LAB that could survive at 30 °C up to 45 °C incubation temperature and high salt condition with concentration of NaCl 6.5%
Keyword: P. pentosaceus MSS 2, P. pentosaceus MSS 1, LAB, dangke

Judul: Karakterisasi Senyawa Antimikroba Dari Bakteri Lactobacillus Fermentum Dengan Media Whey Dangke
Abstrak: Dangke merupakan makanan khas Kabupaten Enrekang yang dibuat tanpa melalui proses fermentasi. Proses pembuatan dangke menghasilkan by product (hasil sampingan) berupa whey. Whey dangke dapat digunakan sebagai media pertumbuhan bakteri asam laktat karena mengandung nutrisi yang tinggi. Lactobacillus fermentum (L. fermentum) merupakan salah satu bakteri asam laktat yang mampu menghasilkan bakteriosin. Tujuan dari penelitian adalah untuk menganalisis potensi dangke sebagai media pertumbuhan L. fermentum asal dangke untuk menghasilkan bakteriosin. Strain L. fermentum asal dangke yang digunakan yaitu A323L, B323K, dan C113L. Metode penelitian meliputi beberapa tahap yaitu persiapan Bakteri Asam Laktat (BAL) dan bakteri patogen, pengujian nutrisi whey, pewarnaan Gram, pembuatan kurva pertumbuhan, dan purifikasi bakteriosin. Peubah yang diamati yaitu total BAL, nilai pH, total asam tertitrasi (TAT), aktivitas antimikroba bakteri L. fermentum, konsentrasi protein dan aktivitas antimikroba bakteriosin. Total BAL, Nilai TAT, nilai pH dianalisis menggunakan rancangan acak kelompok (RAK) pola faktorial, sedangkan aktivitas antimikroba bakteri, antimikroba bakteriosin dan konsentrasi protein dianalisis dengan menggunakan rancangan acak lengkap (RAL), data yang berbeda nyata dianalisis lebih lanjut dengan uji Duncan. Hasil penelitian menunjukkan bahwa fase logaritmik pada kurva pertumbuhan L. fermentum A323L yaitu pada waktu inkubasi 24-28 jam sedangkan B323K dan C113L pada waktu inkubasi 20-24 jam. Zona hambat yang dihasilkan oleh semua strain L. fermentum termasuk kategori lemah karena diameternya hanya kurang lebih 3 mm. Whey dangke dapat dimanfaatkan sebagai media pertumbuhan L. fermentum asal dangke karena BAL tersebut mampu mencapai fase pertumbuhan logaritmik. Namun kebutuhan nutrisi dalam media whey dangke belum tercukupi untuk menghasilkan bakteriosin. L. fermentum strain A323L, B323K, C113L asal dangke hanya mampu menghasilkan daya hambat kategori lemah (zona hambat kurang dari 3 mm) pada media whey dangke. Namun diantara ketiganya, strain yang terbaik adalah C113L.
Keyword: Lactobacillus fermentum, whey dangke, bakteriosin

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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