Unemployment is a group of labor force who has not done an activity that generates money. Someone who is said to be unemployed can also be categorized as people who have not worked, people who are looking for work, or people who have worked but have not gotten productive results. The purpose of this study is to analyze the unemployment stay by province in Indonesia. This research data is sourced from the Central Statistics Agency in 2014 - 2019. This study uses data mining techniques, namely the K-means algorithm, the K-means method is a clustering method that functions to break the dataset into groups. The K-means method can be used for percentage unemployment data by province. Data will be divided or grouped into 2 Clusters, where Cluster 1 is the group of provinces with the highest potential for unemployment with the results of 13 provinces and Cluster 2 is the province with the lowest potential unemployment results which is 21 provinces. The results of this study are as a way to assist the government in expanding employment to develop and improve the economy in each province in Indonesia. It is hoped that this research can provide input to the government. In particular, the provinces with minimal employment opportunities in Indonesia have an impact on unemployment

This study discusses the effect of achievers lifestyle on the decision to use credit card to customers of credit card customers of Bank Mandiri branch Pematangsiantar. The goal is to determine the effect of achievers' lifestyle with the decision to use credit cards to customers of Bank Mandiri credit card users. The number of respondents determined as many as 100 respondents. Sampling procedure is done by purposive sampling that is sampling technique based on credit card user who live in Pematangsiantar city. Mutiple linier regressions are used as technique of analysis. The results showed that the achievers lifestyle variables have a significant influence on the decision to use credit cards. From result of regression analysis known that activity and opinion variable have influence stronger than interest to decision using credit card.

Pusat TIK Nasional menggunakan infrastuktur IT konvensional dimana penggunaan resource masih bersifat boros, dan manajemen serta monitoring yang rumit. Oleh karena itu, perlu dirancang sebuah infrastruktur private cloud menggunakan Openstack yang dapat melakukan resource sharing. Tujuan perancangan privat cloud adalah melakukan efisiensi dan skalabilitas yang tinggi serta memudahkan akses, monitoring dan manajemen secara terpusat. Berdasarkan hasil penelitian yang dilakukan, sistem infrastruktur private cloud yang dirancang dan dibangun dengan Openstack versi Kilo menggunakan satu node controller dan satu node compute mampu melakukan efisiensi sumber daya infrastruktur IT sebesar 1 CPU dan 638.296 bytes RAM dan mampu melakukan resource sharing infrastruktur IT.

This study aims to analyze the level of community satisfaction with services in the District Court Simalungun using the C4.5 Algorithm method. The data source used in this study was taken with an instrument in the form of a questionnaire with closed and open answers, where the data is in the form of numbers and analyzed static descriptive. The study population was all service users in the District Court Simalungun, including Procedures, Service Time, Costs/ Tariffs, Implementing Behavior, etc. After doing the calculations manually, the verification is also done using the application, namely RapidMiner. From the analysis process, it can be seen that the responsive aspect is the most dominant aspect in determining the level of community satisfaction at the District Court Simalungun

The aim of this study is to determine the effect of leadership and motivation to employees' discipline in PT. Bank Muamalat Indonesia Pematangsiantar branch. The data collection method of the research is conducted by distributing questionnaires to 25 employees of PT. Bank Muamalat Indonesia Pematangsiantar branch. Leadership (X1) and motivation variable (X2) simultaneously have positive and significant impact on employees' discipline in PT. Bank Muamalat Indonesia Pematangsiantar branch. It can be seen from the value of Ftest = 3.287 > Ftabel = 3.101. At the level of error α = 5%, the value of the Ftest was significant, with significance = 0.411 < error level α = 5%. T-test for leadership variable (X1) is 0.676, for employee's motivation variable (X2) is 0.875. Based on the hypothesis of criteria if ttest < ttabel then H0 is accepted; and H1 is rejected. From determination identification is known that the correlation coefficient of 0.550 which showed a very strong relationship in which the coefficient of determination (adjusted R 2 ) for 0.379 is between 0 ≤ R2 ≤ 1. And it can be concluded that the variables of leadership and working motivation of employees have significant effect on employees' discipline at PT. Bank Muamalat Indonesia Pematangsiantar branch.

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Banks As intermediary institutions have a very important role in driving the economy in Indonesia, so banks must be managed very carefully and need special supervision from the government. The bank soundness assessment method continues to evolve, there are two newer bank soundness assessment methods namely CAMELS and RGEC. This study aims to compare the CAMELS and RGEC methods in assessing the soundness of PT. Bank Panin Dubai Syariah Tbk 2014-2018. This research is quantitative research. The population of this research is the financial statements of PT. Bank Panin Dubai Syariah Tbk. The sample of this research is the financial statements of PT. Bank Panin Dubai Syariah Tbk 2014-2018. The analytical technique used is descriptive analysis using the CAMELS and RGEC methods. The results of this study indicate that the assessment of bank soundness using the CAMELS and RGEC methods has different results. The CAMELS method is more focused on achieving profit and growth, while the RGEC method focuses on a combination of self-assessment assessment that emphasizes risk management, GCG implementation, and financial ratios that measure the condition of a bank. So that the RGEC method becomes a more comprehensive bank soundness assessment solution.

This study aims to see the development of the number of vegetable crop yields in the following year. With this prediction, it is hoped that it can help the government and the community to be more careful in increasing the supply of crop stocks in order to meet the food needs of the people of Simalungun Regency. The data source is obtained from the Central Bureau of Statistics. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target. The results of this study show that the best architectural model is the 2-1-1 model with an accuracy rate of 75.0% and an epoch of 1392 iterations in 00:07 seconds. This research is expected to be a reference material in other studies that have the same research object and as a consideration for the government in making an even more accurate evaluation system