Judul: One-dimensional Cutting Stock Problem Solution: Optimization Case of  Light Steel Cutting Waste
Abstrak: Rumah merupakan kebutuhan primer bagi manusia. Salah satu komponen dari rumah yaitu atap yang rangka nya terbuat dari kayu atau baja ringan. Mempertimbangkan aspek harga bahan baku, daya tahan, dan biaya pekerja menjadikan baja ringan lebih ekonomis dan praktis untuk digunakan. Pemotongan baja ringan yang tidak terencana dengan baik dapat menyebabkan banyak sisa material tidak terpakai dan ongkos produksi yang besar. Penelitian ini memperlihatkan penyelesaian masalah pemotongan stok (cutting stock problem) satu dimensi pada rangka atap rumah dari baja ringan. Tujuannya adalah menentukan pola pemotongan sehingga keperluan baja ringan terpenuhi dan menghasilkan sisa potong baja ringan yang minimum. Masalah pemotongan stok ini dimodelkan sebagai masalah pemrograman linier integer, kemudian diselesaikan dengan metode eksak. Melalui bantuan Solver pada perangkat lunak Microsoft Excel, diperoleh solusi optimal yang meminimalkan sisa pemotongan sebesar 16.45 m atau 7.83% dari total 210 m baja ringan yang digunakan., House is a primary need for humans. One of the components of the house is the roof, whose frame is made of wood or light steel. Considering raw materials price, durability, and labour costs, light steel is more economical and practical. Cutting light steel that is not planned correctly can result in many unused materials and high production costs. This study shows the solution to the one-dimensional cutting stock problem on the roof truss of a light steel house. The goal is to determine the cutting pattern so that the needs of light steel are met and produce a minimum of cutting scraps of light steel. This cutting stock problem is modelled as an integer linear programming problem, and then solved by an exact method. With the help of Solver on Microsoft Excel software, the optimal solution was obtained, which minimized the remaining cutting by 16.45 m or 7.83% of the total 210 m of light steel used.
Keyword: cutting stock problem, integer linear programming, light steel, optimization

Judul: One-dimensional Cutting Stock Optimization of Reinforcing Bars Using Integer Linear Programming
Abstrak: Besi beton merupakan salah satu komponen penting dalam konstruksi bangunan. Pemotongan besi beton dalam prakteknya akan menyesuaikan kebutuhan yang didasarkan pada keragaman ukuran yang tersedia. Oleh karenanya, pemotongan bahan persediaan (cutting stock) besi beton ini perlu direncanakan agar memberikan hasil sesuai kebutuhan serta meminimalkan sisa pemotongan yang tidak terpakai. Penelitian ini bertujuan membangun model pemrograman linear bilangan bulat guna mendapatkan banyaknya besi beton yang diperlukan serta skenario pemotongannya yang sekaligus meminimalkan sisa hasil pemotongan. Solusi model berupa rekomendasi kombinasi pola pemotongan besi beton yang meminimalkan sisa pemotongan. Model diimplementasikan menggunakan bantuan bahasa pemrograman Python dan perangkat lunak optimisasi Lingo 17.0 pada proyek pembangunan Kantor Kelurahan Kota Surakarta pada tahun 2014, yaitu Kantor Kelurahan Gilingan, Kantor Kelurahan Jagalan, dan Kantor Kelurahan Kauman. Hasil implementasi memberikan sisa pemotongan 5.57% dari total besi yang digunakan., Reinforcing bar or also known as rebar is one of the main components in building construction. Practically, cutting rebar will be adjusted according to the required rebars and the variation of available rebars. Consequently, cutting stock such as rebar must be designed to satisfy the requirements and minimize the trim loss. This research aims to build an integer linear programming model to figure the number of rebars needed and the cutting patterns which minimize the trim loss. The solution to the problems consists of the combination of cutting patterns for trim loss minimization. The model is implemented using Python programming language and Lingo 17.0 optimization modeling software at the offices construction project in Surakarta City in 2014, namely Gilingan, Jagalan, and Kauman District Office. It is showed that the implementation model results trim loss to the tune of 5.57% of total rebars cut.
Keyword: cutting stock, integer linear programming, optimization, trim loss

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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