<p><em>There are many genres found in video games, one of which is role-playing games (RPGs). Roguelike was originally a type of RPG subgenre whose game was based on a risk-aware pattern. The Roguelike game is synonymous with games that require players to play efficiently in order to minimize the risk of losing game progress. This research is in the form of making a Roguelike game by implementing the A-star algorithm to search for the shortest path in the process of chasing enemies against player characters. Overall, this final assignment research is carried out by applying a prototype system development model. The results of this study are able to prove that using the A-star algorithm is one of the right methods for the shortest search in the process of chasing enemies against player characters.</em></p><p><strong><em>Keywords</em></strong><em>: </em><em>A-star, Roguelike, unity</em><em></em></p>

Generasi baru dari konsep teknologi yang digunakan pada halaman website mengalami perubahan yang juga selaras dengan kebutuhan bisnis yang ada dalam dunia digital. Halaman website mengalami transformasi dari pada mulanya adalah hanya berupa halaman website statis, kemudian pada versi atau generasi berikutnya menjadi halaman website 2.0 sampai dengan generasi ketiga atau halaman website 3.0 (web 3.0) atau yang juga dikenal dengan istilah website semantik (Semantic Web). Generasi ketiga dari teknologi halaman website inilah yang akan menjadi topik utama dari penulisan paper ini, dimana pembahasan yang akan dituliskan dan dijelaskan pada paper ini adalah mengenai karakteristik dari web 3.0, teknologi yang ada pada web 3.0 seperti RDF (Resource Description Framework), SPARQL dan Web Ontology. Kemudian dalam penulisan jurnal ini juga akan diberikan contoh atau implementasi dari penggunaan teknologi web 3.0 dan kemudian penjelasan teknis mengenai cara kerja web 3.0. Hasil dari penulisan paper ini adalah untuk mengetahui perbedaan apakah yang ditawarkan oleh halaman website yang mengadopsi atau menggunakan teknologi web 3.0 dan juga untuk mengetahui keunggulan yang dimiliki oleh teknologi web 3.0.

Mint is a plant that has many benefits and uses. However, some people are not familiar with the types of mint leaves because they cannot tell the difference. Actually, if you look closely, mint leaves have their own characteristic shape and texture. However, most people judge mint leaves to have a shape similar to other leaves so it is difficult to tell them apart. This paper aims to classify the types of mint leaves using the Euclidean distance algorithm and K-Means clustering with shape and texture feature extraction. The K-Means Clustering Algorithm functions as a segmentation so that the image to be classified can be separated from other objects. In the feature extraction process, metric and eccentricity parameters are used. Meanwhile, for texture feature extraction, use the parameters in the Gray Level Co-occurence Matrix (GLCM). Furthermore, the classification process uses the Euclidean Distance algorithm which has a function to represent the level of similarity between two images by taking into account the distance value from the identified image. Based on the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, the precision value is 82%, recal is 84% ​​and accuracy is 83%.

Today's internet network is expanding quickly, which encourages consumers to connect to more server services. A reliable server system is required to handle these circumstances. One approach that can be taken is to implement multiple servers. However, using many servers affects the response time of the server to be able to serve requests. Improving server system services through the load balancing method needs to be balanced with analysis, testing and evaluation of the network architecture and algorithms used in order to produce an optimal server system. In order to determine the algorithm to be tested optimal response time value, this study compares and analyses the load balancing approach utilizing the least-connection algorithm and the round-robin algorithm. Based on the test results using a request value of 500 connections/second for 1000 requests and 600 connections/second for 1200 requests, the round-robin algorithm looks slightly better than the least-connection algorithm. However, in the test scenario for the value of 700 connections/second for 1400 requests, 800 connections/second for 1600 requests, and 900 connections/second for 1800 requests, the least-connection algorithm looks superior. So that the average response time of the least-connection algorithm is smaller when there is an increase in connections. This condition has an impact on the faster the server responds to requests from users so that server performance can be continuously improved.

The selection of the right place for the online English course is certainly expected to produce output that is in line with expectations. For this reason, a solution is needed to help make decisions on choosing the right place for online English courses. A system that can assist in making decisions and can provide recommendations for the right choice is a decision support system (DSS). In the implementation of DSS, appropriate methods or models are also needed according to the cases discussed. One method that can be used is the Additive Ratio Assessment (ARAS) method. The ARAS method is a multi-criteria decision-making method based on the concept of classification using the utility level by comparing the overall index value of each alternative with the overall optimal alternative index value. The system created has features or functions that are in accordance with the needs of using the ARAS method in calculating to perform alternative rankings. Based on the case studies conducted, ARAS was able to find the best alternative from several alternatives with Lister results of 0.459, Engoo of 0.635, Golden English of 0.702, English Academy of 1. The system was made using the XP methodology, with features including being able to manage criteria values, alternatives and count to display the ranking of the best alternatives. In terms of functionality, the system that has been made has met expectations or in other words 100% functions well, and produces calculations that are in accordance with manual calculations. This system can be implemented in a choice of online English courses quickly and precisely.