The Influence of Android-Based Mobile Learning on Students' Learning Independence on the Subject of Derivative Algebraic Functions

The purpose of this research are: 1) to find out how much student’s self regulated learning in using android-based mobile learning, 2) to determine students’ responses about the using of android-based mobile learning in mathematics learning, and 3) to determine whether or not there is an influence of android-based mobile learning on students’ self regulated learning. Metodology in this research is using the experimental method with data collection techniques in the form of questionnaires for the two variables. The population in this research are all students of the clas XI Science in SMAN 1 Astanajapura, while the research sample is XI Science 4 class which was selected using cluster random sampling technic. Based on the results of the research, it can be concluded that the results of the student response questionnaire in using android-based mobile learning show strong criteria with an average percentage of 70.7% and the results of the students’ self regulated learning questionnaire show strong criteria with an average percentage of 73.7%. After hypothesis testing with , it can be seen that the value of is . Because then is rejected and is accepted, meaning that there is a significant influence between the using android-based mobile learning on students’ self regulated learning. The magnitude of the coefficient of determination obtained is 0.423 or 42.3% which means that the using of android-based mobile learning has an effect of 42.3% on students’ self regulated learning and the rest in influenced by other factors. Keywords: Instructional Media, Android-Based Mobile Learning, Self Regulated Learning

Designing a Lecture Room Monitor System with an Android Application Based on the Chip's ESP8266

The classroom monitoring system with an android application based on the ESP8266 chip was created to solve problems on campus in finding unused rooms and to provide solutions to the problems of finding classroom thus far by using inefficient manual methods. The monitor system was made to determine the status of classroom usage with a passive infrared (PIR) sensor which functions to detect human presence in the room and a light sensor with a Light Dependent Resistor (LDR) to detect the use of the projector in the room. The two sensors are connected to the ESP8266 chip which is connected to a realtime database via the internet. The android application is specifically made to access monitoring data stored in a realtime database throughout it is connected to the internet. The results of this system test the PIR sensor reaches a maximum distance of 4 meters, a time delay of about 3 minutes, a reliable tool, and low cost.

Design and Implementation of Web-Based Helpdesk Information Systems Using Extreme Programming Methods

Technological developments have become a necessity for job optimization, be it desktop, web or mobile-based software, of course this really supports work with fast, timely completion, without spending a lot of effort and money. The Help Desk is a facilitator for the process of solving operational problems, through communication and interaction networks, internal and external, between the source of the problem (the client) and the potential / problem solving analysis capacity (experts) so that the Asset Management process becomes more effective in improving unit performance. Its operational implementation refers to the principles in the concept of Knowledge Management. Extreme programming is a method that lightens the burden or speeds up the software development process, the characteristics of this method are in accordance with this study which has a small number of team members. This method is flexible so that it can adapt to the changes that customers want. With this the user becomes easier for system development

A Survey on Abandoned Objects Detection from CCTV Surveillance

Computer Vision is an important and challenging area of ​​research in image processing applied to analytical video. Image data comes from CCTV surveillance which is spread in public places owned by the government, private sector and the public. Supervision is carried out to monitor anomalies in the surrounding environment such as abandoned objects, crowds, theft and others. An abandoned object is one of the anomalies that is important to monitor because it can be categorized as a danger and can also prevent theft of the object left behind, therefore automatic monitoring is needed to prevent adverse events from occurring. In the last decade, a number of publications have been presented in the field of intelligent visual surveillance to detect abandoned objects (AOD). In this paper, we present a state-of-the-art showing the overall progress of the detection of objects that were abandoned or removed from surveillance video in recent years. We include a brief introduction to the detection of abandoned objects with their problems and challenges. The aim of this paper is to provide a review of the literature in the field of recognition of abandoned objects of visual surveillance systems with a general framework for researchers in this field.

Acceptance of Technology in Online Learning Perspective at Educational Institutions : A Systematic Literature Review

Today, many applications or technologies have been produced by every software developer. However, the success of all there is the decision of each user. Users have two possibilities to accept or reject a technology that is presented. The TAM model has been widely researched and undergone development and changes besides being quite reliable in predicting the level of technology acceptance in all countries in the world. In this study, we will recapitulate all studies on the acceptance of technology in the field of Education that handles online learning. The results showed that there was 51 article review publication were selected through some process of review. The period taken ranges from 2011 to 2020. The main findings show that there are differences in the models, methods, and applications identified. Since the TAM model has two basic variables, namely perceived ease of use and perceived usefulness as a framework for analyzing the make and influence technology acceptance. In this study also provides information about the results of the identification of some of the gaps in current research and also in the future. Therefore, the results of a systematic literature review were able to provide a better understanding of TAM especially in the perspective of education in online learning.

The Use of Learning Media Motion Graphics Towards Students Mathematical Understanding

Learning about the concept and structure of a mathematical material and looking for relationships between them is real math learning. In many math learning materials, students often struggle to understand the concept of the material. The mathematical skills need to be stimulus and encouraged when learning. To practice such skills need innovations such as using motion graphics learning media. The purpose of this research is to know the student's response to the use of motion graphic media, to find out how much the mathematical skills of students after using motion graphic learning media, to know how much influence The media use of motion graphic learning to the students mathematical skills, to determine the effectiveness of the use of motion graphic learning media to the students mathematical skills. This method of research is experimental research with data collection techniques using poll and observation for variable X and test for variable Y. Population for this research is all students of grade IX SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon, while the sample Taken by the cluster method of random sampling with the elected class IX B SMP IT Umar Al Khattab Gunung Jati Kabupaten Cirebon. Based on the results of the data processing, the student response questionnaire was obtained against the use of media in motion graphic media learning with an average of 85.23% with very strong criteria. Based on the hypothesis test result obtained tcount > ttable = 9,895 > 2.063, then H0 rejected or Ha is acceptable, the use of Motion graphics Learning Media is effective against the mathematical understanding of grade IX students SMP IT Umar Al Khattab. It is also supported through an N-Gain value of 65.40 as well as an indicator of the learning effectiveness of a KKM pass of 91.66% classifying, student response 85.23%, student activity of 77,,33%, as well as the ability of the teacher to manage the class that got the value 3.34.

Service Innovation for Customer Satisfaction of Telecommunication Companies

Customer perception is important in the company's business sustainability. In today's competitive global market situation, customers are always looking for services that have more value to meet their needs. Innovation becomes important to differentiate service values ​​in customer perceptions. This paper presents several survey papers which state the significant relationship between the innovation of telecommunications companies and their customers' satisfaction and loyalty. The influence factors considered by customers and aggressively affect their satisfaction also explained in previous surveys. Several innovations have also been carried out by various researchers to improve customer perceptions through excellent customer experience when interacting with customer relationship management. This paper also presents the novel method of developing value-added services for telecommunications companies and the development service roadmap that accurately predicts the successful implementation of an innovation into the market. Further research can utilize the above studies to develop services in other aspects of customer experience on telecommunications services.

A Survey Paper: Implementation of the Internet of Things in Industry

The use of the Internet of Things (IoT) has been widely developed in various fields of technology application. Using IoT can make it easier to build robust industrial systems and applications and provide visualization for the safety of industrial employees by taking advantage of the increasing number of radio frequencies, wireless devices, mobile devices and sensors. In understanding the development of IoT in the industry, the paper reviews the latest IoT research, a survey that compares the use of IoT from several existing papers, the main applications of IoT in the industry, and identifies trends and research challenges. The main contribution of this survey paper is to systematically summarize the current state of IoT in the industry.

Decision Making in Internet of Things (IoT) : A Systematic Literature Review

Today’s internet technologies support everything that human do. By using integrated technologies the things that connected to internet can provide data. The Internet of Things (IoT) is the new paradigm in provide the data without human communicated. The IoT system support machine to machine communication that can be used to develop smart services that can generate a lot of data. This exponential data can support a decision making. The decision making system depend on availability and reliability of data. This study focus to how the Internet of Thing support decision making system. With a survey of literature to understand the trends, models and factors of decision making in IoT based on previous research. This survey following step by conduct the research question (RQ), then search and observation the previous research from database journal. Based on reviewing 26 articles, this study conclude that the trends of decision making in IoT are implemented on Manufacturing and Industry, Healthcare, Agriculture and Transportation. Besides that the decision model that can support by IoT used Fog Computing, Fuzzy, Game Theoritic, Clustering Based on Multimodal Data Correlation, etc. Meanwhile the decision making factors that influenced by IoT like Latency, data-driven, security, data reliability and accurate. The integrated of model and point of interest on decision making in IoT should be improved. It will be the opportunities and challenge in IoT to support decision making in future.

A Survey : Application of Big Data in the Travel and Tourism Industry

The development of information technology has increased the travel and tourism industry. The travel and tourism data are available in many sources such as telephone, social media, sensor system on the internet of things, and others. The application of big data has great potential in the development of the travel and tourism industry. Big data can take advantage of new things in making the right decisions and seeing opportunities in doing better business. This paper provides a survey that discusses big data in the travel and tourism industry. Big data is used to ticket price and demand prediction. In addition, big data is also used to build a tourism plans and recommender system with the personalized and adaptive method. Combination of using the internet of things and big data can help the industry to price their product. The result of this study is some of the implementation of big data in the travel and tourism industry. We conclude that big data can be used to explore new things in making the right decisions, seeing opportunities more observant, and doing business more efficiently