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: Perencanaan Produksi Menggunakan Fuzzy Goal Programming: Studi Kasus Produksi Jilbab pada Konveksi Rumahan
Abstrak: RAFIF SUHAIRI. Perencanaan Produksi Menggunakan Fuzzy Goal Programming: Studi Kasus Produksi Jilbab pada Konveksi Rumahan. Dibimbing oleh PRAPTO TRI SUPRIYO dan HIDAYATUL MAYYANI. Perencanaan produksi adalah salah satu strategi untuk menghadapi berbagai permasalahan dalam proses produksi. Tujuan yang ingin dicapai dalam perencanaan produksi cukup bervariasi. Seringkali tujuan-tujuan tersebut bersifat samar sehingga mengandung ketidakpastian atau fuzzy. Penelitian ini bertujuan memodelkan masalah perencanaan produksi sebagai model fuzzy goal programming (FGP). Ketidakpastian pada fungsi tujuan diselesaikan menggunakan fungsi keanggotaan fuzzy. Fungsi keanggotaan fuzzy dibangun dengan refererensi batas optimal dari masing masing fungsi tujuan dan batas toleransi yang diinginkan oleh pembuat keputusan. Model FGP diformulasikan dengan pendekatan max-min Bellman-Zadeh. Model diimplementasikan menggunakan bantuan software LINGO pada industri rumahan konveksi jilbab di Kebon Jeruk, Jakarta Barat dengan fungsi tujuan meminimumkan waktu produksi dan memaksimumkan keuntungan. Hasil implementasi menghasilkan tingkat produksi jilbab yang mengoptimalkan fungsi tujuan, yaitu meminimumkan waktu produksi dan memaksimumkan keuntungan. Minimum waktu produksi yang diperoleh 2105 menit, sedangkan maksimum keuntungan yang diperoleh yaitu Rp 3.460.295,68., RAFIF SUHAIRI. Production Planning Using Fuzzy Goal Programming: A Case Study of Hijab Production at Home Convection. Supervised by PRAPTO TRI SUPRIYO and HIDAYATUL MAYYANI. Production planning is one of the strategies to deal with various problems in the production process. The objectives to be achieved in production planning are quite varied. Often these goals are vague so they contain uncertainty or fuzzy. This study aims to model the production planning problem as a fuzzy goal programming (FGP) model. The uncertainty in the objective function is solved using a fuzzy membership function. The fuzzy membership function is built by reference to the optimal limit of each objective function and the tolerance limit desired by the decision maker. The FGP model is formulated with the Bellman-Zadeh max-min approach. The model is implemented using the LINGO software in the hijab convection home industry in Kebon Jeruk, West Jakarta with the objective function of minimizing production time and maximizing profit. The results of the implementation is the production level of the headscarf that optimizes the objective function, namely minimizing production time and maximizing profit. The minimum production time obtained is 2105 minutes, while the maximum profit obtained is Rp. 3,460,295.68.
Keyword: fuzzy, fuzzy goal programming, 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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