Journal of Information Technology and Computer Science

Usability Evaluation of English Learning Application Base on Augmented Reality Using ISO 9241

2022-09-19T13:35:31+07:00

Augmented Reality (AR) technology is one of the educational applications that may be created. AR is a learning tool that may be used to integrate virtual things or objects into a natural environment to engage in real-time. English is a foreign language that must be learnt. For language assistance, pupils must acquire a sufficient command of vocabulary via reading and listening exercises. Two factors contribute to the ineffectiveness of oral communication: pupils who do not have enough vocabulary knowledge and students who do not know how to employ vocabulary non their spoken language. One of the learning media that has been developed is the AR-based English vocabulary learning application which was developed in early April 2020 to September 2020. This application aims to help elementary school students (6-12 years) in learning English vocabulary. Where in the current learning which is due to the pandemic thus making distance learning. The purpose of this study is to measure the usability of the application whose vocabulary has been developed from three aspects, namely effectiveness, efficiency and user satisfaction (ISO 9241). The results of the research conducted show that the usability level of this application is 89% effectiveness, 94% efficiency and 91% user satisfaction. So that this learning application can be said to have good usability and can be used as a supporting medium for learning English vocabulary for children aged 6-12 years independently.

Responding to Natural Disasters on Twitter Social Media to Comparative Analysis of User Behavior and Geospatial Information Content in Indonesia and the United States

2022-05-21T11:50:56+07:00

Disasters are a series of events that threaten, disrupt people's lives and livelihoods which are caused by natural, non-natural and human factors, resulting in casualties, environmental damage, losses and psychological impacts. Natural disasters have prompted Twitter social media users to upload information about the conditions of areas affected by natural disasters in pictures or only text of the disaster site. At that time, the researcher proposed to analyze the behavior of Twitter social media users towards education levels in Indonesia and the United States. This research provides an overview of the facts about the content shared on Twitter social media, and provides a solution for the extraction of geospatial content on Twitter social media. From the processing of data from Twitter social media, it can be seen that there is no difference in the relationship between Twitter social media users and education levels in Indonesia and the United States and more geospatial information content in the United States than in Indonesia.

Sentiment Analysis of Visitor Reviews on Star Hotels in Manado City

2022-11-06T18:29:38+07:00

Sentiment analysis is a technique of extracting the text data to analyze the opinions and evaluate to obtain the information. Sentiment analysis is performed by internet users on social media or online applications or websites to provide assessments or personal opinions. Tourism in North Sulawesi has grown by 600% in the past four years, and the rise of tourism has sent tourists flocking to the city of Manado. These travelers need a hotel that satisfies their desires, so they need to read about the hotel in the reviews on the hotel reservation service website. This takes a lot of time. To overcome existing problems, sentiment analysis applications were developed to make it easier for potential hotel users to find previous user responses. Additionally, data mining classification techniques are used to help hotel managers determine the satisfaction of previous hotel users using a Naive Bayes algorithm. The five tests performed gave the best result, 76.20% accuracy, with an average of 70.55%. While the average precision is 70.57% and 99.85% for the recall.

Usability Evaluation for Mobile-Based Nutritional Food Recommender System

2022-07-04T14:25:34+07:00

COVID-19 was designated as a global pandemic by WHO and Government Regulation of the Republic of Indonesia Number 21 of 2020 concerning Large-Scale Social Restrictions for the handling of Corona Virus Disease 2019 (COVID-19). Eating healthy foods with balanced nutrition can increase the body's immunity during a COVID-19 pandemic. Since many foods that sold freely are not guaranteed in nutritional ingredients, cooking becomes a better alternative. system is a mobile application that provides a recommendation of healthy food recipe by using the Simple Additive Weighting (SAW) algorithm, which has been studied in the previous research of recipe recommendation and gives significant result. Previous research has not examined the appropriate variables and the data are still general food. We conducted a user study to measure the usability of the proposed system. The result of usability testing shows that there is a significant increase in SUS score from 63.5 to 87.

Rain Harvester Prototype Integration for Drinking Water Using IoT And Mobile Apps

2022-10-11T09:23:45+07:00

The drought that hit Indonesia caused 8 provinces in Indonesia to experience a crisis of clean water and drinking water. Meanwhile, the rainy season in Indonesia occurs for 6 months, starting from November to April. The peak of the rainy season in Indonesia occurs in January, with an average maximum rain intensity of around >700 mm. Based on the situation from the massive potential of rainwater in Indonesia, the possibility to produce clean water and drinking water to overcome drought problems in the dry season. The resulting drinking water must qualify according to its standards. Therefore, the water quality produced from this prototype must be observed. The purpose of this study is to determine the reliability of the filter on the rainwater harvester. The water filter materials used are zeolite natural stone, activated carbon stone, and filter cotton, and further filters are carried out through the Ultrafiltration membrane and electrolysis process. Then the water can be monitored for quality through the user's device. The external water quality of the rainwater harvester is tested with acidity or pH, Total Dissolve Solid or dissolved solids, and Turbidity or water clarity. The change in water quality is seen in TDS, from 50 ppm to 203 ppm. In addition, water quality is seen from the pH of 6.1 to 6.9 and for Turbidity of rainwater which is 0 NTU. Rainwater harvesters can convert rainwater into drinking water. However, in the future, there must be further research on the quality of water produced from rainwater harvesters.

Enhancing River Monitoring Embedded System using Time Redundancy Fault Tolerance to Resolve Transient Sensor Fault

2022-10-12T09:16:36+07:00

Reading data from sensors in the context of the Internet of Things (IoT) is one of the main parameters of a high-reliability system. Data reading by sensors is prone to errors due to various variables that the problem cannot accommodate. One method to overcome this problem is the time redundancy algorithm, where the sensor takes data and its best value several times. In this study, the sensors used to calculate the water levels are ultrasonic sensors and resistance. At the river monitoring point, data is sent using the UDP (User Datagram Protocol) protocol that previous studies have used. This research has been done as a prototype with a maximum distance between sensor nodes of one meter. The results of sending data using UDP were successful, with an average delay of 3293 microseconds. And the ultrasonic sensor that has been tested based on transient fault against time redundancy has an accuracy of 94.5% based on a sampling delay of 1000ms.