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The importance of efficiency in the space of search rules C4.5 decision tree algorithm has been the focus of a lot of researchers. Therefore, the development needs to be conducted to form a new, more efficient method but it can not be separated from the accuracy of the analysis as the results of the algorithm itself. For that purpose, by using a genetic algorithm (GA), it is expected to optimize and simplify the search rules of more complex combinations. The use of C4.5 with Hybrid genetic algorithm in search of a more effective rules requires a better understanding and a long time. But the use of the two algorithms will be mostly effective if the cases faced are very complex, having more branching condition and highly accurate.

Gradient Descent (GD) is used to find the local minimum value, its purpose is to find variables on the errorfunction so that a function can model the data with minimum error. Therefore, the purpose of this researchis to see how much iteration is needed and how big is the accuracy level in predicting the data when usingGradient Descent (GD) Standard and GD With Momentum and Adaptive Learning Rate (GDMALR)functions. In this study, the data to be processed using the gradient descent function is the data of SchoolParticipation Rate (SPR) in Indonesia aged 19-24 years, which began in 2011 to 2017. The reason forselection This age range is one of the factors that determine success education in a country, especiallyIndonesia. SPR is known as one of the indicators of successful development of education services in an areaof either Province, Regency or City in Indonesia. The higher the value of SPR, then the area is consideredsuccessful in providing access to education services. SPR data are taken from Indonesian Central Bureau ofStatistics. This study uses 3 models of network architecture, namely: 5-5-1, 5-15-1 and 5-25-1. From 3models, the best model is 5-5-1 with epoch 6202 iteration, 94% accuracy and MSE 0.0008658637. Thismodel is then used to predict SPR in Indonesia for the next 3 years (2018-2020). These results will beexpected to help the Indonesian government to further improve the scholarship and improve the quality ofeducation in the future

Laying the position of the access point on the Wi-Fi network in a room is needed to Keyword: WI-FI, converage Area, Signals, Simulate Annealing AbstrakPeletakan posisi access point pada jaringan WI-FI dalam suatu ruangan sangat diperlukan untuk mengoptimalkan kekuatan sinyal yang diterima dari transmitter terhadap receiver. Parameter yang menentukan performa access point adalah nilai kekuatan sinyal. Kuat atau lemahnya sebuah sinyal access point akan dipengaruhi jarak dan penghalang yang ada antara access point dan client yang mengakses access point tersebut. Pada penelitian ini telah dilakukan beberapa simulasi di beberapa ruangan yang diletakan access point terhadap receiver. Parameter yang di gunakan untuk pengukuran kekuatan sinyal menggunakan aplikasi inSSIDer yang menghasilkan nilai RSSI (Received Signal Strength Indication) dari sebuah transmitter terhadap receiver dan penghalang (hambatan) yang dapat mempengarui kekuatan sinyal tersebut. Dari penelitian ini kekuatan sinyal yang di terima oleh receiver tidak hanya di pengaruhui oleh jarak antara accespoint terhadap penerima, melainkan di pengaruhi oleh penghalang(hambatan) yang ada pada suatu ruangan. Dari hasil penelitain ini diharapkan dapat memperoleh