The aim of the research is to make predictions from the best architectural model of backpropagation neural networks. In determining the outcome in the form of a prediction model, the activation function in the artificial neural network is useful to transform an input into a certain output. In this study the activation function used is sigmoid. The study uses the case of population density in Indonesia considering that for developing countries population growth has many negative impacts such as increased poverty, unemployment and crime rates. This study uses data from Badan Pusat Statistic Indonesia for population categories in 2003-2015. The process of determining the architectural model is carried out 2 stages including: the training stage and the testing stage. The two architectural models used (5-2-1 and 5-10-1), the selection of architectural models is done by looking at several assessment parameters such as epoch, accuracy, MSE training and MSE testing. The process of training and testing of data is done by using the help of the Matlab application. The results of the study obtained that the architectural model 5-2-1 is the best model for predicting with an accuracy of 65%, MSE Training 0,0009997254, MSE Testing 0.0014897214 and Epoch 28548.
Student academic achievement is a very important matter for all school parties that are directly or indirectly related, especially for Depok Tourism Vocational School, student academic achievement is one of the benchmarks in the success of education. Currently, the process of determining student achievement from the academic side of the Depok Tourism Vocational School is still using a manual system, so it takes a long time to determine the assessment of student academic achievement, because there are quite a lot of student data recording. In addition, it is still less relevant because it has not used the right calculation method, resulting in inaccurate calculations. This research uses the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method, because this method is a simple concept and easy to understand and to help the optimal decision-making process to solve practical decision problems. The results of the research using the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method found that students with the name Akmal Adnanto got the first rank with the highest preference value of 0.760.
Depok Madani Vocational School is a Vocational High School consisting of 2 majors namely Light Vehicle Engineering (TKR) and Computer and Network Engineering (TKJ) with 20 teachers as instructors from class X to class XII. The selection of the best teachers is done once a month to motivate the teacher in conducting teaching and learning activities. Schools in making decisions are often influenced by subjectivity and are done manually. Resulting in social jealousy among teachers and inaccurate decision results. Therefore, in assessing the best teachers a decision support system is needed in order to obtain accurate results. Decision Support System methods used in this study is Profile Matching. The method determines the value of weights on each criterion, which is to be present on time, responsibility, dress neatly and politely, participate and contribute, be active and productive, and help fellow teachers, which is followed by a ranking process. The result of the comparison of the two methods above is to produce the same chosen alternative, so that both methods can be applied to help the school's decision making.
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