Determination of graduation status is often faced by lecturers in every university. The facts show that many of the decisions still have a fairly high error rate in determining graduation status. This study aims to develop an analytical model in the process of determining student graduation using the Hybrid Decision Support System (DSS). The methods used in the analysis process are Analytical Hierarchy Process (AHP) and Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). The performance of AHP can determine the value of the weight criteria and TOPSIS performs rankings to produce solutions in determining. The criteria indicators used to consist of Depth (C1), Material Breadth (C2), Answer Accuracy (C3), Fluency of Answers (C4), Scientific Attitude (C5), Logical Consistency of Content (C6), Authenticity (C7), Scientific Quality ( C8), Language (C9), and Writing (C10). The results of this study indicate that the Analytical Hierarchy Process (AHP) method provides a weighting value for each criterion with a fairly good accuracy rate of 85,86%. These results conclude that each criterion has a consistent level of relationship in determining student graduation. Based on the output of the TOPSIS analysis, the results presented can determine the student's graduation status correctly and accurately.

<p>The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.</p>

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

Pemilihan calon Wali Nagari merupakan sebuah kegiatan yang dilakukan oleh masyarakat dengan melakukan aktifitas pemungutan suara untuk menentukan pemimpin dalam sebuah kenagarian yang ada di daerah. Calon Wali Nagari itu sendiri atau yang setingkat dengan kelurahan merupakan seorang yang dipercaya dalam memimpin masyarakat di suatu kawasan atau daerah. Dalam menentukan pemilihan calon wali nagari, adapun penelitian ini menggunakan sebuah konsep Sistem Pendukung keputusan (SPK) dengan metode TOPSIS. Sistem pendukung keputusan yang dibangun ini dapat memberikan rekomendasi pilihan kepada masyarakat terhadap calon Wali Nagari yang akan memimpin dimasa yang akan datang. Metode TOPSIS yang digunakan dapat melakukan sebuah perhitungan yang dimulai dengan menentukan kriteria dari variabel yang digunakan, kemudian menciptakan matrik dan dilanjutkan pada proses matriks solusi lalu pada akhirnya proses akan masuk pada tahap perangkingan hingga keluaran yang dapat merekomendasikan calon Wali Nagari yang terbaik untuk dapat memimpin masyarakatnya pada periode selanjutnya. Hasil yang didapat dalam penelitian juga memberikan sebuah model ataupun bentuk sistem yang semi tersruktur dalam penentuan calon Wali Nagari menggunakan sistem pendukung keputusan metode TOPSIS. Sehingga manfaat yang akan dapat adalah memberikan rekomendasi kemudahan bagi masyarakat untuk memilih calon Wali Nagari secara tepat dan akurat.

In today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store.