Judul: One Dimensional Cutting Stock Problem Optimization with Ant Colony Optimization
Abstrak: Cutting Stock Problem (CSP) satu dimensi merupakan permasalahan optimisasi pemotongan bahan yang berfokus pada satu pola pemotongan yaitu panjang atau lebar. Tujuannya adalah untuk menentukan pola pemotongan yang meminimumkan stok yang terpakai. Salah satu metode untuk menyelesaikan CSP yaitu metode metaheuristik. Pada penelitian ini, metode yang digunakan untuk menyelesaikan CSP satu dimensi yaitu metode metaheuristik Ant Colony Optimization (ACO). Metode ACO diimplementasikan menggunakan bantuan bahasa pemrograman Python pada kasus pemesanan kusen dengan item sebanyak 213 dan panjang stok 4000 mm. Hasil yang diperoleh yaitu pola pemotongan terbaik dengan nilai fitness tertinggi 99,848% pada parameter tingkat kepentingan relatif dari informasi heuristik yaitu 2. Stok yang terpakai sebanyak 64 kayu dan sisa pemotongan sepanjang 200 mm., One dimensional Cutting Stock Problem (CSP) is a material cutting optimization problem focusing on one cutting pattern, namely length or width. The goal is to determine a cutting pattern that minimizes used stock. One of the methods to solve CSP is the metaheuristic method. In this study, the metaheuristic method used to solve one dimensional CSP is Ant Colony Optimization (ACO). The ACO method is implemented using Python programming language in the case of ordering frames with 213 items and 4000 mm stock length. The results obtained are the best cutting pattern with the highest fitness is 99,848% at the relative importance parameter of the heuristic information is 2. The stock used is 64 wood and the trim loss is 200 mm.
Keyword: metaheuristic method, ant colony optimization, one dimensional cutting stock problem

Judul: Optimisasi Cutting Stock Dua Dimensi Pola Homogen Dua Tahap Menggunakan Integer Linear Programming
Abstrak: Cutting Stock Problem (CSP) dua dimensi merupakan permasalahan optimisasi pemotongan bahan yang memperhatikan dua sisi yaitu panjang dan lebar. Tujuannya adalah untuk menentukan pola pemotongan yang meminimumkan sisa pemotongan bahan. Proses pemotongan bahan dapat dilakukan secara guillotine dan non-guillotine. Salah satu proses pemotongan bahan secara guillotine adalah pemotongan bahan dengan pola homogen dua tahap. Penelitian ini bertujuan membangun suatu model optimisasi cutting stock dua dimensi pola homogen dua tahap menggunakan integer linear programming. Model ini diimplementasikan menggunakan bantuan bahasa pemrograman Python 3.10 dan perangkat lunak optimisasi Lingo 18.0 untuk memecahkan masalah pemotongan kain pada RB GROUP. Hasil yang diperoleh memberikan sisa pemotongan sebesar 3,98 % dari total bahan kain yang digunakan. Sisa tersebut lebih kecil dibandingkan sisa pemotongan yang dilakukan oleh RB GROUP sebesar 17,64 % dari total bahan kain yang digunakan., Two-dimensional Cutting Stock Problem (CSP) is a material cutting optimization problem that pays attention to two sides: length and width. The goal is to determine a cutting pattern that minimizes material cutting residue. The process of cutting materials can be done by guillotine and non-guillotine. One of the guillotine is cutting materials with a two-stage homogeneous pattern. This study aims to build a two-dimensional cutting stock two-stage homogeneous pattern using integer linear programming. This model is implemented using Python 3.10 programming language and Lingo 18.0 optimization software to solve fabric-cutting problems in RB GROUP. The results obtained provide the residue as much as 3.98 % of the total fabric used. This value is smaller than the residue of cutting made by RB GROUP that was 17.64% of the total fabric used.
Keyword: integer linear programming, optimization, two dimensional cutting stock

Judul: Profil Antibodi IgM dan IgG pada Beruk (Macaca nemestrina) setelah Diinfeksi Virus Dengue Serotipe-3 (DEN-3) melalui Rute Intravena
Abstrak: The aim of this study was to detect IgM and IgG in pig-tailed macaques (Macaca nemestrina) primarily innoculated by Dengue virus serotype-3 (DEN-3) by intravenous route. A total of 84 plasma samples were examined in the study. Plasma samples were taken on day 0 before infection, followed by plasma collections on day 1 through day 13 post infection. The obtained plasma samples were analyzed using indirect ELISA test. The results showed the increasing titer of IgM started on day-3 post infection with its peak occurred on day 11 post infection and started to decline afterward; while the IgG titer started to increase on day 6 or day 7 post infection and continue to increase until the day 13 post infection. These results showed that in a primary infection of DEN-3 byintravenous route, the tendency of IgM titer increase was higher than the IgG titer increase; also shown that the IgM titer increase was occured earlier than IgG. The profile of IgM and IgG antibodies is outlined in this study.
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