Judul: Penyelesaian Cutting Stock Problem Satu Dimensi Menggunakan Metode Branch and Bound
Abstrak: Kain batik katun merupakan bahan utama yang biasa digunakan untuk membuat baju seragam keluarga. Pemotongan bahan kain batik haruslah menyesuaikan dengan kebutuhan keluarga tersebut. Oleh karena itu, pemotongan bahan kain batik perlu direncanakan agar mendapatkan hasil yang optimal untuk meminimumkan sisa bahan yang terbuang. Penelitian ini bertujuan untuk mencari pola pemotongan bahan seragam keluarga yang dapat meminimumkan sisa hasil pemotongan satu dimensi pada kain batik katun yang diperoleh menggunakan metode branch and bound serta mencari solusi yang optimal menggunakan bantuan software Lingo 11.0. Solusi yang diperoleh merupakan kombinasi pola pemotongan bahan kain yang optimal sehingga meminimumkan sisa hasil pemotongan. Model diimplementasikan pada masalah pemotongan stok bahan kain batik katun menggunakan bantuan bahasa pemrograman Python 3.9.5 dan software Lingo 11.0 yang memperlihatkan bahwa sisa hasil pemotongan sebesar 2,95% dari total bahan yang digunakan., Cotton batik cloth is the main material that is usually used in making family attires. The cloth's cut must be suitable with the family's requirement. Because of that, the cutting process must be planned carefully to give the optimal cut to minimalize the material wasted. This research is intended to find the cutting pattern for family attire material that could minimalize the one-dimensional cut on cotton batik cloth using the branch and bound method whilst finding an optimal solution using software Lingo 11.0. The produced solution would be optimal combinations of cutting patterns on the cloth so that the material leftover is minimal. The model is applied to the cutting stock problem using Python 3.9.5 and software Lingo 11.0 shows that the leftover and profit from the cutting process would be 2.95% of the total material used.
Keyword: branch and bound, cutting stock problem, optimization

Judul: Penyelesaian Cutting Stock Satu Dimensi pada Kerajinan Kain Tenun ATBM dengan Pendekatan Model Arc Flow
Abstrak: Kerajinan kain tenun ATBM memerlukan tahap pemotongan dalam proses produksinya. Pemotongan bahan baku kain umumnya hanya bertujuan memenuhi permintaan, tanpa memperhatikan sisa pemotongan. Hal ini dapat berakibat pada meningkatnya biaya produksi, sehingga pemotongan bahan baku kain perlu direncanakan untuk mendapatkan pola pemotongan optimal yang memenuhi permintaan dan meminimumkan sisa pemotongan (trim loss). Masalah ini dikenal sebagai cutting stock problem. Pada penelitian ini, penyelesaian cutting stock problem satu dimensi dilakukan melalui pendekatan model arc flow. Hasil yang diperoleh untuk meminimumkan sisa pemotongan didapatkan dengan memotong 34 bahan baku kain berukuran 25 m, dengan kombinasi tiga pola pemotongan optimal, yaitu pola 1 sebanyak 13 buah, pola 2 sebanyak 3 buah, dan pola 3 sebanyak 18 buah. Berdasarkan ketiga pola optimal tersebut, didapatkan sisa pemotongan minimum sebesar 0 m., ATBM handwoven crafts require the cutting process in their production lines. The cutting process is usually aimed to satisfy the demand without considering the trim loss. This problem can lead to the increasing of production costs. The alternative way to overcome this problem is by finding a cutting plan that would satisfy the demand and minimize the trim loss. This problem is widely known as the cutting stock problem. This research solves the one-dimensional cutting stock problem using an arc flow formulation. The result that minimizes the trim loss can be obtained by cutting 34 pieces of twenty five-meter fabrics, with the optimal combination consisting of the first pattern as many as 13, the second pattern as many as 3, and the third pattern as many as 18. As a result, this optimal combination takes zero trim loss.
Keyword: arc flow model, cutting stock problem, trim loss

Judul: Evaluation of Influenza Antibody Titers in Serum and Egg Yolk of Layers Vaccinated with Influenza Vaccines.
Abstrak: Influenza belongs to the Orthomyxoviridae family which causes upper and lower respiratory tract infection. The aim of this study was to evaluate influenza-A specific antibody titers from serum and egg yolk of hens vaccinated with quadrivalent influenza vaccines. Three Hy-line Brown layers were vaccinated with quadrivalent influenza type A and B inactivated vaccines. Vaccination was carried out three times at a dose of 0.25 ml/chicken via the intramuscular route. The first vaccination was carried out at 24 weeks of age, then boosters were performed at 28 and 32 weeks of age. Serum and egg yolk were collected every week for 20 weeks since the first vaccination. Influenza A H3N2 and H1N1 antibody titers were determined using hemagglutination-inhibition (HI) test and agar-gel-precipitation (AGP) test. Influenza-A H3N2 and H1N1 specific antibodies were detected in both serum and egg yolk from the first to twenty weeks after the initial vaccination. Highest HI geometric mean titer (GMT) of H1N1 antibody reached 26.67 HIU at nine weeks post first vaccination (p.f.v), while H3N2 antibody reached 26 HIU at six weeks p.f.v. Our result showed that influenza antibodies can be produced in layers using quadrivalent vaccines and layer chickens are able to produce equivalent antibody levels for each influenza subtype.
Keyword: antibody, egg yolk, influenza, layer chickens, serum