As an educator, the responsibilities of lecturers are demanded on three things, known as the tri dharma of higher education. A lecturer must be able to make a real contribution to students. Not only to students but also required to be able to cooperate well with the institutions where the lecturers serve. In order for the performance of a lecturer to be better, then, in this case, the educational institution can conduct a performance appraisal of the lecturers at the institute. Effective assessment is certainly needed so that the results obtained are better and more appropriate. For this reason, the writer tries to use the Operational Competitiveness Rating Analysis (OCRA) and Centroid Rank Order (ROC) methods in evaluating the performance of lecturers at STMIK Budi Darma.
In companies both large and small, they must always communicate and exchange data to other divisions at a considerable distance. In carrying out the process of data exchange, it is not uncommon for the data to suffer damage and some do not even reach the destination, the incident is known as packet loss. Therefore, a routing protocol is needed to solve the problem. OSPF routing is the right routing to be implemented. Because, OSPF routing uses Dijkstra’s algorithm to find the closest distance, OSPF determines the best path based on the lowest cost and OSPF also divides its network into several levels, so the information dissemination on each router becomes that has been done, messages time from PC to PC get a range of values of 0.25%. Based on the analysis table of packet loss, the packet is categorized very well, because the packet sent is not much lost.
Oil palm fruit theft at PT. Perkebunan Nusantara V still occurs frequently, especially in one district, Tandun District which has 6 oil palm and rubber plantations. The high rate of theft of oil palm fruit causes a decrease in the production of oil palm fruit and palm kernel. This study discusses the use of the K-Means Clustering algorithm as one of the data mining algorithms in grouping data on palm oil theft in the oil palm plantation area of Tandun District. With a number of theft data, this study enables the discovery of the potential for theft of oil palm fruit in the location of oil palm plantations at low, medium and high levels. K-Means Clusering algorithm calculation uses 3 supporting parameters, namely the area of each afdeling, the number of fruits that have been saved, and the number of fruits that have been stolen. After knowing the locations that have the potential for theft of oil palm fruit, the company can implement a strategy to safeguard those potential locations.
Utilization of cloud computing technology in the development of a website has significant developments such as the use of disk storage, memory, and CPUs running in the cloud at a low cost when compared to physical servers. When creates a website, human interaction in carrying out the deployment process such as creating a database and installing the packages needed by the website, all of this is done manually so it takes a lot of time. An automation process is needed to solve this problem by using ansible and shell scripts in the website deployment process. This final project will compare ansible and shell scripts as configuration management for drupal deployments to the Amazon web service EC2 server by analyzing the deployment process time, CPU and memory usage on the server, throughput, and packet loss. Based on tests that shell scripts have performed outperformed ansible at deployment time with a difference of 3 minutes, troughput generated in ansible testing is better with an average of 60,164 Kb/s and 22,009 Kb/s for shell scripts, and ansible usage against the CPU is much better because it does not make the server overloaded.
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