Judul: Analisis dan Desain Sistem Informasi Produksi dan Keamanan Pangan di PT XYZ, Analisis dan Desain Sistem Informasi Produksi dan Keamanan Pangan di PT XYZ
Abstrak: Beef consumption in Indonesia is only 34% compared to the world average. The main reason is the high price due to the long supply chain. As an importer and distributor of frozen food, PT XYZ provides meat at competitive prices. Production unit is a new unit that performs the process of cutting, milling, or repackaging to reach a broader range of consumers. The information system has not yet been formed, so it becomes an obstacle in product documentation and tracking. This study aims to analyze the production process flow, design information system components with its quality parameters, make system prototypes, implementation and evaluation system prototypes. Product definition is stable and system requirement is well-known hence, SDLC method and waterfall model are used. Black-box testing shows that the user can carry out all parts of the production information system appropriately. System implementation showed that the data access time increased from 5 minutes to 5 seconds, the data input time from 10 minutes to 4 minutes, and reports of production units that did not exist before became available. Exponential smoothing has highest accuracy compared to other forecasting method with 30.86 MSE value, 5.55 MAD value, and 90% accuracy.
Keyword: food safety, forecasting, information system

Judul: Analisis dan Desain Sistem Informasi Produksi dan Keamanan Pangan di PT XYZ
Abstrak: Beef consumption in Indonesia is only 34% compared to the world average. The main reason is the high price due to the long supply chain. As an importer and distributor of frozen food, PT XYZ provides meat at competitive prices. Production unit is a new unit that performs the process of cutting, milling, or repackaging to reach a broader range of consumers. The information system has not yet been formed, so it becomes an obstacle in product documentation and tracking. This study aims to analyze the production process flow, design information system components with its quality parameters, make system prototypes, implementation and evaluation system prototypes. Product definition is stable and system requirement is well-known hence, SDLC method and waterfall model are used. Black-box testing shows that the user can carry out all parts of the production information system appropriately. System implementation showed that the data access time increased from 5 minutes to 5 seconds, the data input time from 10 minutes to 4 minutes, and reports of production units that did not exist before became available. Exponential smoothing has highest accuracy compared to other forecasting method with 30.86 MSE value, 5.55 MAD value, and 90% accuracy.
Keyword: food safety, forecasting, information system

Judul: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
Keyword: