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: 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: Aktivitas dan Stabilitas Superoksida Dismutase dari Ekstrak Deinococcus radiodurans yang Diimobilisasi pada Zeolit Alam sebagai Biosensor Antioksidan
Abstrak: Immobilization of superoxide dismutase (SOD) from extract of Deinococcus radiodurans have been studied. D. radiodurans is a bacteria having an enzyme Mn-SOD. The optimum condition of SOD antioxidant activity of the extract was at 31 °C, pH 9, and 157 mg zeolite. Determination of Michaelis-Menten constant was based on Lineweaver- Burk, Eadie-Hoofstee, and Hanes methods. The KMapp of SOD of the extract immobilized on zeolite was lower than that of without immobillization. Electrode stability was relatively stable up to 22 hours. Antioxidant activity of using zeolite as the matrix was higher than that of the unimmobilization. The antioxidant activity on electrode with zeolite at 22nd hour was 64.0 %, and the stability of electrodes without zeolite at the same time was only 49.3 %. The SOD of D. radiodurans is potential as a biosensor for antioxidants because of the high antioxidant activity despite of the low stability.
Keyword: superoxide dismutase, natural zeolites, Deinococcus radiodurans, antioxidant biosensor