Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Optimization of the LEACH Protocol to Increase Stability on the Wireless Sensor Network

2020-04-02T21:00:00+07:00

Wireless sensor networks (WSNs) are small devices that are run by batteries as minimal energy resources. The cluster method is one of the ways on WSN that is widely applied to the routing protocols to extend the network's lifespan. Low-Energy Adaptive Clustering Hierarchy (LEACH) is a cluster-based protocol proven to increase energy efficiency in sensor networks. However, LEACH also has disadvantages such as a selection of cluster heads that don't consider residual energy at every node. It is the cause of failure in the election process and affects the stability of the network cluster. Period network stability is essential as reliable feedback from a network. Therefore, this study tries to investigate and solve stability problems in the LEACH algorithm. In this paper, the authors propose a new protocol that is Optimization-LEACH (O-LEACH), which is the development of the LEACH protocol. The O-LEACH protocol cluster-head selection process is developed based on the initial energy of each node, and a new beginning energy levels calculated from each node to every round. The test results show that the proposed O-LEACH protocol has a better stability period and network lifetime than the LEACH protocol.

English Edugame Application for Childhood base on Android

2020-02-20T21:25:45+07:00

apply arithmetic with play compared to without playing. Play and child is an inseparable unity. Play activities carried out children and children’s activities always indicate play activities. In childhood the comprehension is very high, more activities a child does, the ability to remember will also be higher. There are several factors make it difficult for children to recite and remember the object, color around them, it is less interested in the media used. Childhood always follows the rhyme of its development. at an early age, language development is very important, because at this age it is a sensitive period for children. The English language is the International language. English language for children starts from introducing vocabulary that is closest to the child, the goals to make it easier for children to remember. One way to maximal comprehension by giving learning fun involves learning with the game. The research resulted in an English game application based on android. In this application, there are education and game features. The education features an exciting good and gets the sound from the lesson that is available. Game features available are guessed pictures, guess sounds, and puzzles. The purpose of English edugame application to teach children vocabulary of English and make children not bored to learn.

Implementation of the Perceptron Method for Recognizing the Patterns of Types of Intestinal Nematode Worms

2020-04-02T20:57:08+07:00

The purpose of pattern recognition is do the process of classifying an object into one particular class based on the pattern it has, so it can be used to recognize patterns of intestinal nematode worm types. One of the methods used in pattern recognition is by utilizing the artificial neural network method, the artificial neural network is able to represent a complex Input-Output relationship. For that the algorithm used is the perceptron algorithm. Perceptron is one method of Artificial Neural Networks. In the introduction of types of intestinal nematode worms, a computer must be trained in advance using training data and test data, this study discusses how a computer can recognize a pattern of types of intestinal nematode worms using the perceptron method. Based on the results of testing trials with input in the form of worm image scan results, based on the results of the perceptron method testing is able to recognize the pattern recognition of the types of intestinal nematode worms and be able to analyze with the right results of 100% for pinworms patterns, hookworm patterns, and 40- 50% for roundworms, by comparing the output value and the target value entered first.

Recommendation System for Specialization Selection Using K-Means Density Canopy

2020-04-02T20:55:58+07:00

The carelessly selection of specialization course leaves some students with difficulty. Therefore, it is needed a recommendation system to solve it. Several approaches could be used to build the system, one of them was K-Means. K-Means required the number of initial centroid at random, so its result was not yet optimal. To determine the optimal initial centroid, Density Canopy (DC) algorithms had been proposed. In this research, DC and K-Means (DCKM) was implemented to build the recommendation system in the problem. The alpha criterion was also proposed to improve the performance of DCKM. The academic quality dataset in the 2018 informatics programs students of ITTP was used. There were three main stages in the system, namely determination of the weight of the course in dataset, implementation of DCKM, and determination of specialization recommendations. The results showed that the system by using DCKM has good quality based on the Silhouette results (at least 0.655). The system also used standar valuation scale in ITTP and silhouette index in the process of system. The results showed that 176 (65.91%) students were recommended in IT specialization, 25 (9.36%) students were recommended in MM specialization and 66 (24.7%) students were recommended in SC specialization.

Career Development Expert System Application Using the Entrepreneurship Personality Inventory

2020-04-02T20:32:52+07:00

This study aims to describe the process of designing expert system applications in career development using entrepreneurship personality inventory. The reason for conducting this research is a) the limited number of instruments that are able to measure the entrepreneurship personality of vocational students, b) the high costs incurred in conducting personality tests in career development of vocational students, c) The need for an application that is able to speed up the process of identifying personality and provide recommendations careers for vocational students. The research methodology used is Research and Development. There are four stages that must be carried out: Define, Design, Develop and Disseminate. The instrument used to measure entrepreneurial personality is inventory (non-test) with four indicators of entrepreneurship personality, namely Extroverted, Leader, Moderate Risk Taker, Ambisious, and tested fit using Confirmatory Factor Analysis. The research sample was 30 vocational high school students in the field of Information Technology and Computers. Bayes Method is used for the process of transferring knowledge from experts to the system and decision making, after Based on the results of data analysis, it was found that a) Career development applications based on Entrepreneurship Personality are valid with a percentage (0.887) and very practical (91.11), the results of product effectiveness are 82.47 (effective). Therefore this application is declared valid, practical and effective in measuring the personality of vocational student entrepreneurship.