Journal of Computer Networks, Architecture and High Performance Computing
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Expert System Using Certainty Factor Method For Adjustment Of Learning Styles With Students
Get PDFAlignment of students with learning styles greatly affects the quality of learning of students in educational units. With good learning quality, the passing rate of students in an educational unit will also increase and can produce quality graduates. So far, the learning process implemented in this school has been going well when viewed based on the number of students graduating with the number of students present, but so far no further research has been conducted regarding this suitability so that the effectiveness of student learning is still not optimal. Based on this, the research objective is to build an Expert System with the Certainty Factor method to adjust the learning styles of students at SMK PGRI 5 Denpasar. Based on the results that will be obtained through the system designed and built in this research, it is hoped that it will make it easier for educators to prepare learning models and strategies that will be given to students from the results of determining student learning styles. The research results obtained from the test results show 100% suitability in giving dominant results to students' learning styles. In this study the students who were used as the test sample had different learning style percentage accuracy so that it could be used to determine the right learning style for each student
Analysis of User Satisfaction with E-Learning Services During the Covid-19 Pandemic Using the PIECES Framework
Get PDFDuring the Covid-19 pandemic, the education sector has been able to provide assistance for the continuation of the learning process through e-Learning services. E-Learning is an online-based learning and teaching process that utilizes information technology services. E-Learning is specially designed by the institution and integrated with academic progress data to offer the best support to students who have become increasingly familiar with information technology during the pandemic, addressing its limitations. The objective of this research is to measure user satisfaction with the e-Learning service using the PIECES framework. The PIECES framework consists of Performance, Information/data, Control/security, Efficiency, and Service categories. The PIECES framework is employed for analyzing the information system and consists of six variables: performance, information, economic, control, efficiency, and services. Data was collected through questionnaires distributed to 368 students from different graduation years, spanning from 2018 to 2021, who are users of the e-Learning service. Based on the gathered data analysis, the average satisfaction levels for each variable are as follows: performance scored 3.75, information scored 3.82, economic scored 3.84, control scored 3.74, efficiency scored 3.7, and services scored 3.84. Combining these values and referencing Kaplan and Norton, it can be concluded that the overall user satisfaction level with e-Learning falls into the satisfied categor
Implementation of Data Mining in Grouping Data of the Poor Using the K-Means Method
No full textProcessed, especially data on people who are classified as poor. So that the provision of assistance from the central government or donors is right on target. In village governance, data processing often occurs that is not good and does not use technology, so if any assistance is provided it will make it difficult for the village government to distribute it to poor people. This study aims to classify the data of the poor by implementing data mining and applying the K-means algorithm for grouping data of the poor by applying the K-means algorithm. The research method used is observation research methods and direct interviews to obtain problems and data needed in data processing. The data used is community data. The results of the study obtained that the poor community group was divided into three parts, namely: Poor, Simple, and Able. So it can be seen that there is no shift or change in the data group towards the center of the cluster
Temperature And Speed Monitoring On Google Sheet-Based Motorcycle Discs
Get PDFThe braking system for motor vehicles is very important which serves to slow down speed. So that the braking system is one that must be considered for driving safety. There are two types of braking systems on motorcycles based on the mechanism, namely braking using discs and drums. One of the causes of road accidents is because the brakes overheat so that failure of the braking system results in brake failure. Therefore, this research is about the design of temperature and speed monitoring on motorcycle brake discs based on google sheets. Which uses MLX90614 sensor as a temperature sensor and E18-D80NK sensor as a speed sensor and NodeMCU ESP8266 as a microcontroller. Both sensors are programmed to provide information so that the brake temperature does not overheat and turn on the buzzer when the temperature and speed reach / exceed predetermined values. The buzzer will turn on when the temperature on the disc brakes reaches ?65°C and when the speed reaches 120rpm
Decision Support System for Strategic Planning in Educational Organization: A Survey
Get PDFStrategic planning models and the provision of information for decision making in complex strategic circumstances are research topics of great interest. This research addresses the issue of supporting strategic planning decision-making in educational foundations by building a Decision Support System (DSS) to be used by decision-makers in carrying out their strategic planning process, the DSS is integrated in the entire organisation's information system database. This research provides an overview of DSS, the college planning process, the development of DSS through the use of artificial intelligence, and a framework for planning activities at different levels of the organisation to develop strategic plans. Based on the strategic planning process model, a DSS framework is proposed, along with decision support approaches for various DSS modules. DSS provides the best support (at individual, group, and organisational levels) for all stages of strategic planning decision-making. By applying DSS, it is possible to create more perfect circumstances to achieve sustainable future-orientated institutional goals
Implementation of Bot Telegram as Broadcasting Media Classification Results of Convolutional Neural Network (CNN) Images of Rice Plant Leaves
Get PDFRice plants play an important role in the life of the Indonesian people because rice is the raw material for rice as a staple food. The rice production process does not rule out the possibility of interference by pests and diseases resulting in losses that cause crop failure. Meanwhile, pests on rice plants can be caused by various types, namely types of fungi (leafblast, hispa, brownspot) and types of nuisance animals. In this research, it will be carried out how to classify the image of rice plant leaves using the deep learning Convolutional Neural Network (CNN) algorithm, then the results of the classification are sent to users by utilizing the telegram chat application. The rice plant leaf image dataset is grouped into 4 groups (leafblast, brownspot, hispa and healthy). From several experiments it can be seen the results of system performance, namely the classification speed takes 30-60 seconds
Vulnerability Assessment with Network-Based Scanner Method for Improving Website Security
Get PDFThe digital world has seen a significant increase in security threats in recent years, with hacker attacks on websites being a major concern in cybersecurity. One platform that is particularly vulnerable is WordPress, which is widely used and therefore a popular target for hackers. About 95.62% hacked website in 2021 is WordPress based site. Therefore, to improve website security we conducted a vulnerability assessment on a WordPress based website, in order to identify vulnerabilities that may be exploited by hackers. To do the vulnerability assessment, we used the network-based scanner based to detect vulnerabilities on the WordPress website. Our results showed that the website had several vulnerabilities that needed to be addressed and fixed immediately. The conclusion of our research highlights the importance of conducting regular vulnerability assessments on WordPress-based websites to reduce the risk of vulnerabilities being exploited. By taking proactive measures to identify and fix vulnerabilities, website owners can better protect their sites from potential hacker attacks. It is crucial for website owners to be aware of the risks posed by security threats in the digital world and to take steps to mitigate these risks to protect their businesses and their customers
Decision Support System for Sentiment Analysis of Youtube Comments on Government Policies
Get PDFSentiment analysis is the process of classifying a text dataset as positive, negative or neutral. Youtube is one of the popular media used to provide responses to a problem. In the Jokowi era, infrastructure development was carried out massively and evenly, one of which was in Bali Province, namely the construction of the Mengwi-Gilimanuk Toll Road. The construction of the Mengwi-Gilimanuk Toll Road consumed a lot of people's agricultural land, which resulted in various pro and con responses from the community. From these problems, sentiment analysis is carried out to get community reviews related to the object being analyzed by utilizing algorithms to be able to classify opinions, in the construction of this system the naïve bayes algorithm is used with testing methods namely accuracy, precision, and recall. From the sentiment analysis conducted by utilizing 18 video links on YouTube with 701 comments, it produces positive sentiment as much as 50.64%, negative sentiment as much as 7.70% and neutral sentiment as much as 39.23%
Artificial Intelligence (AI) of Financial in the VUCA Era: A Systematic Mapping Study
No full textThe purpose of the study was to systematically map Artificial Intelligence (AI) in the financial sector in the VUCA era. The research design employed a quantitative approach with a descriptive method. The study utilized a systematic literature review with bibliometric analysis techniques. Researchers collected the data from the Google Scholar database, technique analysis using VOSviewer, and descriptive statistics as data analysis techniques. The results indicated the following: (RQ1) 539 articles met the criteria for research; (RQ2) Springer was the publisher with the highest number of AI in Financial articles (58 articles); (RQ3) Karina Kasztelnik authored the most papers on AI in financial (3 documents); (RQ4) an article written by David Mhlanga titled "Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion" had the most citations (145 citations); and (RQ5) the systematic mapping results identified 8 clusters as research gaps, suggesting potential themes for future studies related to AI in the financial domain. The findings indicate a research gap and highlight the potential for further research on AI in the financial sector in the VUCA era. The role of AI in the financial industry in the VUCA era was to enhance efficiency, speed, accuracy, and security. AI can assist in addressing rapidly emerging complex challenges, providing competitive advantages for FinTech companies to navigate dynamic changes and uncertain business environments
Forensic Web Analysis on The Latest Version of Whatsapp Browser
Get PDFWith the rapid growth of technology and the increasing number of smartphone users, social media applications have proliferated. Among them, WhatsApp has emerged as the most widely used application, with over a quarter of the world's population using it since 2009. To meet the increasing customer demands, WhatsApp has introduced a browser version, which has undergone continuous updates and improvements. The latest version of WhatsApp exhibits significant differences in features and settings compared to its predecessors, particularly in conversations, images, video recordings, and other aspects. Consequently, this research focuses on analyzing artifacts that can aid in forensic investigations. The study aims to extract artifacts related to conversation sessions, as well as media data such as audio files, contact numbers, photos, videos, and more. To achieve these objectives, various forensic tools will be employed to assist in the artifact search within the WhatsApp browser. The research adopts the NIST framework and utilizes forensic techniques like Autopsy and FTK Imager to read encrypted backup database files. These files contain valuable information such as deleted conversations, phone logs, photos, videos, and other data of interest. Analyzing the artifacts from the WhatsApp browser version contributes to forensic activities, providing valuable insights into the evidence that can be obtained from conversations and media files. By leveraging forensic tools and techniques, forensic practitioners can effectively retrieve and analyze data from the encrypted backup database files. In summary, this research explores the artifacts within the WhatsApp browser version, sheds light on its distinct features, and presents a forensic approach utilizing the NIST framework and forensic tools like Autopsy and FTK Imager to examine encrypted backup database files containing crucial deleted data, conversations, and media files