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: Penyelesaian Cutting Stock Problem Dua Dimensi Menggunakan Pattern Generation Technique
Abstrak: Cutting Stock Problem (CSP) dua dimensi adalah suatu permasalahan pemotongan barang (item) yang berfokus pada dua sisi pemotongan yaitu anjang dan lebar. Pemotongan yang dilakukan bertujuan untuk meminimumkan sisa hasil pemotongan yang didapatkan. Salah satu metode dalam pemotongan CSP dua dimensi adalah pattern generation. Penelitian ini bertujuan untuk mendapatkan pola pemotongan optimal menggunakan pattern generation yang meminimalkan sisa hasil pemotongan kain di RB GROUP yang diimplementasikan menggunakan bantuan Excel dan software optimisasi Lingo 18.0. Hasil yang diperoleh untuk meminimumkan sisa pemotongan kain rol pada RB GROUP dapat dilakukan dengan memotong 2 kain rol berukuran 50 m × 1.5 m dengan pola 1633 yaitu 129 celana pendek ukuran XL, 84 ukuran L, dan 38 ukuran M, serta pola 1653 dengan 129 celana pendek ukuran XL, 51 ukuran L, dan 72 ukuran M. Kombinasi tersebut menghasilkan sisa pemotongan sebesar 14.81% dari total kain rol yang digunakan. Persentase tersebut lebih kecil 2.83 % dari persentase sisa pemotongan yang dilakukan oleh RB GROUP., The two-dimensional Cutting Stock Problem (CSP) is a problem of cutting items that focuses on two cutting dimensions: length and width. The cutting is aimed at minimizing the resulting of leftover cutting. One of the methods for solving the two-dimensional CSP is pattern generation. This research aims to obtain optimal cutting patterns using pattern generation to minimize the leftover fabric in RB GROUP's cutting process, implemented with the assistance of Excel and Lingo 18.0 optimization software. The results obtained indicate that to minimize the leftover fabric in roll cutting at RB GROUP, it is possible to cut 2 rolls of fabric with dimensions of 50 m × 1.5 m using pattern 1633, consisting of 129 XL-sized shorts, 84 L-sized shorts, and 38 M-sized shorts, as well as pattern 1653, consisting of 129 XL-sized shorts, 51 L-sized shorts, and 72 M-sized shorts. This combination results in a leftover fabric of 14.81% of the total fabric used. This percentage is 2.83% smaller than the leftover fabric percentage achieved by RB GROUP.
Keyword: cutting stock, leftover cutting, optimal, pattern generation

Judul: The Leukocyte Profile of Pregnant Friesian Holstein Cows vaccinated with Escherichia coli K99 polivalen vaccine.
Abstrak: The objective of this experiment was to study the leukocyte profile of pregnant cows vaccinated with E.coli K99 polivalen vaccine. Three pregnant Friesian Holsteins cows were used in this experiment. Before the administration of vaccine, the cows were given a series of immunomodulator injection for three days. The vaccinations were administered three times at 8, 6, and 4 weeks before calving. Blood were drawn through jugular vein, first before the administration of vaccines, then weekly until calving. Based on the observation, it can be concluded that the administration of E.coli K99 polivalen vaccine in pregnant cows not affected the leukocyte profile. Keywords : Escherichia coli vaccine, leukocyte profile, differential leukocyte
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