The Effects of Mobile Games on Male Adolescents using Data mining techniques- A Review

Abstract

: In following study “The effects of mobile games on male adolescents using Data mining techniques”, various papers are reviewed. There are about 67% mobile users world-wide. Almost every mobile user has a mobile game installed on their mobile. Most of mobile users play mobile games, while adolescents are very specific and keen users of mobile games. This paper introduces mobile game usage gaming addiction among adolescents, it reviews difference between computer games, video games, console games and mobile games and it then reviews positive and negative effects of mobile games on male adolescents using data mining techniques. Abstract : In China, stock investment is o ne of the important ways for people to manage their finances. Mastering the stock market dynamics can not only bring economic benefits to individuals and enterprises, but also help government to understand Chinese macroeconomic situation. The overall situation of Chinese stock market is mainly displayed through the SSE Composite Index. Therefore, effective prediction of the SSE Composite Index will help investors, enterprises and government agencies to grasp the overall information of the stock market and reduce investment risks in trading. With the development of computer technology, the application of machine learning algorithms to predict stock market volatility has become a hot spot. Among them, BP neural network is the most widely used model, but the gradient descent algorithm used in the model's back propagation has the problem of easily falling into a local minimum. Therefore, the ADAM algorithm to solve this problem was born. This article uses the ADAM optimizer to optimize the BP neural network for SSE Composite Index short-term prediction. The constructed ADAM-BP neural network’s Goodness-of-fit index R2 reached 0.986, which means that the model has good prediction performance. In addition, Compared with the BP neural network without the ADAM optimizer, the error evaluation index of the ADAM-BP neural network is significantly reduced. Abstract : The use of Internet in this globalization era is really needed to support easier data and information exchange. The quality of the connection or has to be considered too, a good Internet connection is must for a smooth data and information exchange. This paper explains about the quality of Internet network or known as QoS (Quality of Service) on Udayana University the parameters used are throughput, delay, jitter and packet loss. Measurements at the access point in every 13 Faculty and Pasca Sarjana at Sudirman Campus, Nias Campus and Bukit Campus in the morning, afternoon and evening. From the results of the measurements, the performance of wireless network service on Udayana University is belongs to the very good, which has a average value of delay < 150 ms, an average jitter of 0 ms and an average packet loss of 0% categorized according to TIPHON version standardization is very good. Abstract : Audit and Information Technology Governance Framework is an assessment that required to alin an organization’s bussiness processes with technology of information. Archives and Library Department Bali Region is the government department that tasked to realizing potential archives and library in their valuable management as a vechile for learning and preservation towards BALI MANDARA. Anticipating the occurrence of obstacle such as lack of human resources and infrastructure optimalization to do an archival services and libraries which potentially make procedural errors happened. It is necessary to conduct a governance audit to determine the capability level of IT processes and the level of gaps. The IT’s Procsses obtained according to COBIT 5 are EDM 04, APO 06, APO 12, DSS 04, MEA 01. Previously, the domain selection process has been carried out starting from the observation and interview stages to determined the critical point of the department, followed by identification of business objectives with department’s critical point, identifixation od IT objectives, identification od IT processes, and level of importance analysis. The results of the IT process capability level obtained for the average current capability at the agency is a performed process while the target capability desired by the agency is a predictable process. The recommendations are given using the ISO 27002 standard which got through mapping IT process on COBOT 5. Abstract : Bakeries are one of the business ventures that have intense business competition. However, the sales, procurement, and production processes that are still manual make it difficult to maintain market share, so it is necessary to be efficient in all fields including ongoing business processes in order to increase competitiveness. The way to improve business process efficiency is to improve business processes by applying the concept of Business Process Reengineering. Techniques to determine the success of performance targets in previous business processes need to be used as a measuring instrument. Measuring test instruments used are Key Performance Indicators. The results of KPI measurement are four factors that has yet to be achieved, namely, reducing errors in making sales invoices, reducing errors in receiving raw materials, reducing errors in the purchase of raw materials, and reducing misuse of raw materials. To improve business processes that are still conventional and overcome the problems of the results of the KPI at the bakery, it is necessary to create a new business process that is systemized using the Odoo Application. After using the Odoo Application the problems contained in the KPI results can be overcome by using a number of Odoo modules related to sales, procurement, and production. Abstract : Operational Audit (Operational Audit), is an audit that evaluates the efficiency and effectiveness of each part in the operational procedures and methods applied by the organization / company. This research begins with the identification of business goals, IT objectives, and IT processes. The IT processes that are obtained are then scaled down to obtain important IT processes for company leaders (Top Level Management). The IT processes obtained are DSS 02, EDM 01, APO 05, and then are used as material to determine the level of capability of the company level. The results of the audit using these 3 domains namely DSS 02 are at level 2, EDM 01 is at level 2, and APO 05 is at level 2. This study also compares the results of the audit (current capability) with the expectations of company officials (expected capability) Gap obtained when there is a difference between (current capability) and (expected capability. Suggestions and improvements are then given to the process that has a GAP so that in the future in accordance with expected. Abstract : The issue of garbage classification has aroused great concern for residents recently. The traditional garbage classification method has a low classification accuracy rate, high cost, and large personnel demand. With the increasing amount of garbage, it is difficult for traditional methods to effectively separate waste. Therefore, consider applying deep learning to the garbage classification problem. This paper uses two types of Convolutional Neural Networks (CNNs)--Inception V3 and Inception V4 to train Huawei's public garbage data set (Garbage Date) and establish a garbage classification model. After experiments, the classification results are compared and the performance of the model is tested. In this paper, by observing the changes in the accuracy rate and cross-entropy loss function of the two models on the training and test sets in the experiment, it is found that both models can obtain higher accuracy of garbage classification The network model using Inception V4 is more stable and accurate than the network model using Inception V3. The experimental results also show that this method can improve the accuracy of garbage classification in daily life and the efficiency of recyclable garbage collection.