Judul: Optimisasi Manajemen Produksi Berbasis Fuzzy Goal Programming (Studi Kasus pada Perusahaan Minuman Ringan)
Abstrak: Every company wants to regulate the production of each product in order to provide optimum benefit for the company. To optimize the benefits need to consider the cost and used production equipment. So that the objectives are not limited to optimization of profits but also consider the desire of decision makers in the company. This research will analyze production management optimization-based fuzzy goal programming (FGP). By reason of FGP consider the decision maker wishes to determine any restrictions on the objective function value that exists. Companies to be analyzed is the PT. Bangun Wenang Baverages Company (BWBC) which is a soft drink company. The objective function to be analyzed is profit maximization, minimization of working time machine, minimization the cost of raw materials, and minimization the cost of labor. In FGP models, each of the objective function is converted into the form of constraints with fuzzy membership functions respectively. For analysis of the optimal solution, FGP formed into a model such as linear programming. Further sensitivity analysis was performed after the optimal solution is obtained, to see the changes in each interval availability of resources to maintain optimal conditions. Model optimization and sensitivity analysis is a part in the decision support system for the company in its production planning. This study provides the results of the FGP can accommodate the decision-makers desires in each objective function. This model provides an optimal solution for the company based on the decision-makers desire. For PT. BWBC, the model established in this study provide an optimal solution for the company in its production planning based on the decision-maker wishes fourth objective function that is it.
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Judul: Optimization of Determination Production Levels Using Fuzzy Integer Goal Programming
Abstrak: Perencanaan sangat diperlukan suatu perusahaan dalam proses produksi guna memenuhi berbagai tujuan (multi objective) yang ingin dicapainya. Berbagai tujuan yang terlibat seringkali memiliki informasi dan nilai target yang tidak tepat sehingga menimbulkan ketidakjelasan yang bersifat fuzzy. Penelitian ini bertujuan membangun model masalah tingkat produksi berdasarkan Fuzzy Integer Goal Programming (FIGP). Solusi model berupa rekomendasi kuantitas produk yang sebaiknya diproduksi di masa mendatang. Tujuan yang tidak akurat diwakili oleh fungsi keanggotaan fuzzy yang menunjukkan derajat pencapaian setiap tujuan dengan mempertimbangkan sasaran dan batas toleransi yang ditetapkan pengambil keputusan. Model FIGP diformulasikan pada dua pendekatan yaitu operator-min Bellman dan Zadeh dan FIGP berbobot. Model diimplementasikan menggunakan bantuan perangkat lunak LINGO 11.0 pada perencanaan produksi usaha rumahan (home industry) kue bolu. Kedua pendekatan FIGP ini memperoleh hasil tingkat produksi yang lebih baik dibandingkan dengan realisasi produksi dan hasil model program linear multi objektif de Novo dengan pendekatan IGP., Planning is necessary for a company in the production process in order to meet the various objectives (multi objectives) that it wants to achieve. The various objectives involved often have inaccurate information and target values, giving rise to fuzzy obscurity. This study aims to build production level problem models based on Fuzzy Integer Goal Programming (FIGP). The model solution is in the form of recommendations for the quantity of products that should be produced in the future. Inaccurate goals are represented by fuzzy membership functions that show the degree of achievement of each goal by considering the goals and tolerance limits set by the decision maker. The FIGP model is formulated in two approaches, namely Bellman and Zadeh min-operators and weighted FIGP. The model is implemented using the LINGO 11.0 software in the production planning of a sponge cake home industry. Both of these FIGP approaches obtained better production rates than the actual production and the result of de Novo multiobjective linear programming model with IGP approach.
Keyword: fuzzy membership function, Fuzzy Integer Goal Programming (FIGP), production planning

Judul: Posisi Filogenetik Kura-Kura Carettochelys Insculpta  (Reptillia: Testudinata)
Abstrak: Carettochelys insculpta is an endemic freshwater turtle of southern Papua and northern Australia. Phylogenetic position of this turtle is remain unresolved until now. Most of the research conducted show close relationships of C. insculpta and members of Trionychidae family. However, some of the research show distance between C. insculpta and members of Trionychidae family. This research is conducted to analyze phylogenetic relationship between C. insculpta and other members of Testudinata using 12S rRNA, 16S rRNA, and both gene as markers. DNA samples were obtained from three different organisms of C. insculpta. Two species used as outgroups were Alligator mississippiensis and Iguana iguana. Phylogenetic analysis was carried out using Neighbor-Joining method with Felsenstein 1981 (F81) modeltest. A polytomy tree of Testudinata was produced by using 12S rRNA gene. However, analysis using 16S rRNA and both genes as markers confirmed that C. insculpta was located between the Chelonidae and the Trionychidae family.
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