Judul: An Aggregate Production Planning Model with Goal Programming Approach for A Wooden Door Industry in PT C
Abstrak: Penelitian ini bertujuan untuk mengembangkan model matematika menggunakan program tepat sasaran sebagai alat yang menghasilkan solusi optimal pada masalah perencanaan produksi agregat di industri pintu kayu, PT C. Model yang dikenalkan dilakukan untuk memecahkan masalah perencanaan produksi agregat di industri pintu kayu yang memproduksi pintu dalam lingkungan manufaktur MTO. Kompleksitas penelitian ini meliputi variabilitas antara kapasitas produksi dan permintaan pelanggan agar dapat meminimalkan tingkat backorder. Selain itu, perusahaan memiliki multiproduk dengan multi-proses, sehingga model harus mengontrol waktu kerja dan tenaga kerja ke tingkat minimum. Beberapa variabel dalam model yang merupakan jumlah bilang bulat, menyebabkan algoritma branch and bound dipilih sebagai metode untuk menjalankan model. Hasil perhitungan dalam model menunjukkan produksi optimum, yang akan mendukung perusahaan untuk mengelola produksi dalam waktu yang teratur dan lembur, buruh kontrak dan tingkat subkontraktor, dan unit backorder. Kata kunci: perencanaan produksi agregat, program tepat sasaran, multi-produk,
Keyword: aggregate production planning, goal programming, multi-product, branch and bound algorithm, Mathematical model, APP, Wooden door industry, Business process model notation, Forecasting technique, Production process

Judul: An Aggregate Production Planning Model With Dynamic Programming Approach for Palm Oil Industry
Abstrak: A common challenge in fulfilling the demand of the raw material requirement is a continuous and repetitive work in a CPO based industry. Main type of operations and procurement in this work lead to how to identify factors that affect the Aggregate Production Planning (APP) system in a CPO based industry. The objectives of this work including how to construct the forecasting model of raw material supply and demands, and to develop an aggregate production planning model in CPO based industry with a dynamic programming approach, and eventually to optimize the total production cost and increase the profit. Parameters of the production process in the APP system consists of working time, productivity, production capacity, inventory level, inventory capacity, subcontract and cost parameters. The forecasted demand of CPO was computed by Additive Decomposition. The forecasted supply of raw material was computed by Multiplicative Decomposition Method. The model showed that the total minimum cost of the CPO production for a year is around Rp 126 Billion. The result of DP showed a potential forecasted profit in the next year.
Keyword: aggregate production planning, forecasting, dynamic programming

Judul: Light Microscope Study of ConnectiveTissue in The Spleen of Common Rousette Bat (Rousettus amplexicaudatus)
Abstrak: The spleen is the largest lymphoid organ. As a secondary lymphoid organ, in addition to its immune function, the spleen also has functions as blood filtration, storage, and hematopoiesis. The spleen has different morphologies between species that support different physiological functions, one of which is the difference in the structure of the capsule and trabeculae. Capsule and trabeculae of the spleen generally consist of connective tissue and smooth muscle. The thickness of smooth muscle composed together with connective tissue in the capsule and trabecula determines the function of the spleen that is divided spleen into three storage, defense, and intermediate. Bats are the reservoir of various zoonotic diseases. Bats are thought to have unique immune systems compared to other mammals but the characteristics of its immune organs such as the spleen have never been studied before. This study was conducted to examine the characteristics of capsulae and trabecula of the Common Rousette (Rousettus amplexicaudatus).
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