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.

Abstrak-Beasiswa yayasan merupakan beasiswa yang pendanaannya berasal dari yayasan yang diperuntukkan bagi mahasiswa berprestasi dan kurang mampu dari segi ekonomi, yang bertujuan agar tidak terjadi putus kuliah bagi mahasiswa. Pada saat ini, AMIK Tunas Bangsa belum memiliki sistem pendukung keputusan dalam menentukan penerima beasiswa yayasan sehingga kemungkinan terjadinya kesalahan dalam merekomendasikan calon menerima beasiswa dan sangat rentan dalam praktik nepotisme. Oleh karena itu, penulis melakukan penelitian dalam menentukan penerima beasiswa yayasan. Metode penelitian yang diterapkan dalam menentukan penerima beasiswa yayasan AMIK Tunas Bangsa adalah metode SMART (Simple Multi Attribute rating Technique), karena metode ini mampu menyelesaikan masalah pengambilan keputusan multikriteria berdasarkan teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting kriteria tersebut dengan kriteria lain. Kriteria yang digunakan dalam menentukan penerima beasiswa yayasan pada penelitian ini adalah IPK, penghasilan orang tua dan jumlah tanggungan. Hasil dari penelitian ini adalah rekomendasi penerima beasiswa. Dengan menggunakan metode SMART, maka rekomendasi yang dihasilkan lebih akurat.Kata kunci-Beasiswa, SMART, Sistem Pendukung Keputusan.

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

Pematangsiantar  is a developing city in North Sumatra, so it is not surprising that there are a lot of freight forwarding partners that offer goods delivery services to peoples such as POS Indonesia, JNE, JET Express, J & T Express and SiCepat Express. Many factors that influence people, especially online shop users on the selection of freight forwarding companies, such as the length of delivery, price, type of fleet, range, to company experience. Then it is necessary to build a system that helps the community in taking a decision. The model used to build this Decision Support System uses the Multi-Objective Optimization On The Base Of Ratio Analysis Method which is expected to provide convenience for people in the selection of cellular operators that they will use.Keywords: Decision Support System, MOORA, Online Shop, delivery services

The Smart Indonesia Card (KIP) is an educational cash assistance until graduating from high school with the age of 6-21 years of school age coming from poor families (underprivileged) or who are registered as participants in the Family Hope Program (PKH) or Family Welfare Card (KKS ) The Indonesia Smart Card (KIP) is a refinement part of the Poor Student Assistance Program (BSM) since the end of 2014. The author took a case study on 124395 Public Elementary School. 124395 Public Elementary School is one of the Public Elementary Schools in Pematangsiantar which received the Smart Indonesia Program for students / i poor and have difficult economic constraints. This research is in the background of the problem of KIP provision where the process of delivering assistance sometimes does not meet the target or target. Invalid data causes errors in the distribution of KIP that should be given to recipients who are entitled to receive it. To overcome these problems, a Decision Support System (SPK) is needed which is expected to solve problems in the provision of KIP with the Moora method. The Moora method is a multicriteria decision making method based on each appropriate criterion. The criteria used are: Father's Work, Mother's Work, Father's Income, Mother's Income, Amount of Dependent, Amount of Dependents Still in School, Rapot Value, KKS Holder, Residence, Type of House. SPK KIP is a recommendation to the school, for the next process to be returned to the school.Keywords: Decision Support System, Moora, Indonesia Smart Card (KIP)

Foundation scholarship is scholarship whose fund comes from AMIK Tunas Bangsa Foundation and given for student achievement and poor, which aims to prevent collage drop outs for students. Foundation scholarship are given to students achievement and poor, but they dont get scholarship from any source. The criteria used in determining the foundation scholarship recipients are GPA, parents income and the number of dependents. The method applied in determining the foundation scholarship recipients is the MOORA (multi objective optimization on the basis of ratio analysis) method. The MOORA method will produce the exact ranked in determining the foundation scholarship recipients, simple calculation so it is easier to understand and use.

Students' understanding of teaching and learning is determined by academic performance and lecturers who give teachings to students. Among them is the education of programming languages. Programming language is one of the main subjects at AMIK Tunas Bangsa Pematangsiantar. Many students buy programs in the final project so that students have difficulty answering questions from examiners n during the trial. The statement of students in difficulty understanding different programming languages. The factors used in the study are lecturer factors, programming language factors, facility factors, lab assistant factors and interest factors. The purpose of this study is to provide academic decision makers in taking solutions to overcome this. The method used in this study is Classification using the C4.5 method as many as 90 data. The results of the study have an accuracy of 84.44% with a Factor Interest is the highest factor in the analysis and Lecturer Factors as the highest factor of students who do not understand the category of Good and Less. It can be concluded that academics provide good education and provide motivation for dynamic programming languages to keep up with the times, especially in the industrial world. With the results of this study, it contributed greatly to AMIK Tunas Bangsa in making decisions to minimize students buying programs. Academic success in educating students is by giving students an acceptable degree in the industry in accordance with the education and teaching provided.

<p><em>Prediction is a process for estimating how many needs in the future. This study aims to predict the amount of coal exports according to the country the main goal in driving the pace of economic growth. The role of the agricultural sector in the national economy is very important and strategic. Coal is one of the fossil fuels. The general definition is a sedimentary rock that can burn, formed from organic deposits, mainly the remains of plants and formed through the process of pembatubaraan. The main elements consist of carbon, hydrogen and oxygen. Domestic production makes the government continue to implement coal export policies according to the state's main goal in driving the pace of economic growth in Indonesia. By using Artificial Neural Networks and backpropagation algorithms, architectural models will be sought to predict the amount of coal exports according to the state's main goal in driving the pace of economic growth to determine steps to assist the government in exporting coal based on the main destination country. This study uses 12 input variables with 1 target. Using 4 architectural models to test the data to be used for prediction, namely models 12-8-1, 12-16-1, 12-32-1 and 12-64-1. The best architectural model results obtained are 12-16-1 architectural models with 100% truth accuracy, the number of epoch 2602 and MSE is 0.0032. By using this model, predictions of coal exports are in accordance with the main destination countries with 100% accuracy.</em></p><p><em></em><strong><em>Keywords: </em></strong><em>Coal, Exports, predictions, backpropagation, Artificial Neural Networks</em> </p><p><em>Prediksi adalah proses untuk memperkirakan berapa banyak kebutuhan di masa depan. Studi ini bertujuan untuk memprediksi jumlah ekspor batubara menurut negara tujuan utama dalam mendorong laju pertumbuhan ekonomi. Peran sektor pertanian dalam ekonomi nasional sangat penting dan strategis. Batubara adalah salah satu bahan bakar fosil. Definisi umum adalah batuan sedimen yang dapat terbakar, terbentuk dari endapan organik, terutama sisa-sisa tanaman dan terbentuk melalui proses pembatubaraan. Unsur utama terdiri dari karbon, hidrogen, dan oksigen. Produksi dalam negeri membuat pemerintah terus menerapkan kebijakan ekspor batubara sesuai dengan tujuan utama negara dalam mendorong laju pertumbuhan ekonomi di Indonesia. Dengan menggunakan Jaringan Saraf Tiruan dan algoritma backpropagation, model arsitektur akan dicari untuk memprediksi jumlah ekspor batubara sesuai dengan tujuan utama negara dalam mendorong laju pertumbuhan ekonomi untuk menentukan langkah-langkah untuk membantu pemerintah dalam mengekspor batubara berdasarkan negara tujuan utama . Penelitian ini menggunakan 12 variabel input dengan 1 target. Menggunakan 4 model arsitektur untuk menguji data yang akan digunakan untuk prediksi, yaitu model 12-8-1, 12-16-1, 12-32-1 dan 12-64-1. Hasil model arsitektur terbaik yang diperoleh adalah model arsitektur 12-16-1 dengan akurasi 100%, jumlah zaman 2602 dan MSE adalah 0,0032. Dengan menggunakan model ini, prediksi ekspor batubara sesuai dengan negara tujuan utama dengan akurasi 100%</em>.</p><p><strong><em>Kata kunci:</em></strong><em> Batubara, Ekspor, prediksi, backpropagation, Jaringan Syaraf Tiruan</em></p>