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IJARAI Volume 5 Issue 2

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: An Evaluation of the Implementation of Practice Teaching Program for Prospective Teachers at Ganesha University of Education Based on CIPP-Forward Chaining

Abstract: The recognition of teacher status is very high and this is followed by a requirement of a high competence level that a teacher has to have that the existence of teachers has to gain a serious attention, including also the beginning of prospective teachers preparation. Ganesha University of Education (Undiksha) as one of public universities in Indonesia is given authority by the government to train prospective teachers. To produce quality prospective teachers that meet the requirement Undiksha requires all education students who will become prospective teachers to take Practice Teaching Program (PPL Real). However, in its implementation it can be said that it has not been effective yet. Thus there is a need to evaluate the implementation of Practice Teaching Program for prospective teachers at Undiksha. One of the techniques used is the CIPP model that is combined with Forward Chaining Method that is one of inferring strategies of Expert System. From the components of context, input, process, and product, the implementation of Practice Teaching Program (PPL-Real) of the education students of Undiksha in 2015 falls into an effective classification.

Author 1: I Putu Wisna Ariawan
Author 2: Dewa Bagus Sanjaya
Author 3: Dewa Gede Hendra Divayana

Keywords: Evaluation; Practice Teaching Program; CIPP; Forward Chaining; Expert System

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Paper 2: Optimal Network Reconfiguration with Distributed Generation Using NSGA II Algorithm

Abstract: This paper presents a method to solve electrical network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and energy not supplied function in distribution system. A method based on NSGA II multi-objective algorithm is used to simultaneously minimize two objective functions and to identify the optimal distribution network topology. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on radial electrical distribution network with 213 nodes, 248 lines and 72 switches. Numerical results are presented to demonstrate the performance and effectiveness of the proposed methodology.

Author 1: Jasna Hivziefendic
Author 2: Amir Hadžimehmedovic
Author 3: Majda Tešanovic

Keywords: radial distribution network; distributed generation; genetic algorithms; NSGA II; loss reduction

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