STMIK Pontianak Online Journals (Sekolah Tinggi Manajemen Informatika dan Komputer)
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Psycoeducation Handling The Impact of Cyberbullying on Adolescents at The Bani Adam
This study aims to provide psychoeducation on handling the impact of cyberbullying which includes definitions, aspects, factors, characteristics, impacts and prevention. Cyberbullying is bullying that is carried out repeatedly on purpose, such as making fun of, or activities that intervene and also demean the bullied target on social media, for example Instagram. This act of cyberbullying has a negative impact on victims of bullying, especially teenagers who are the dominant use of social media. With it, it is hoped that it will equip students with knowledge. According to a 2018 survey in Indonesia, there were 49% of internet users who experienced cyberbullying and only 3.6% reported incidents of cyberbullying. A self-control and ways to prevent cyberbullying behavior are: having ethics when using social media, not talking nonsense and being able to make the right decisions, and being able to choose a good environment so that we don't avoid cyberbullying behavior in adolescents which is a period of development and maturity of attitud
Design And Development Of Arduino-Based Smart Classroom System
The purpose of this research is to design and develop a Smart Classroom system. The system is expected to minimize academic dishonesty in attendance and assignment submission. A survey about academic dishonesty was distributed to 144 university students and lecturers to measure the level of academic dishonesty. Survey result shows that 54.5% of students surveyed has committed academic dishonesty, and 60% of lecturers surveyed has discovered academic dishonesty incidents. Furthermore, 55.2% of students and 20% of lecturers surveyed believed that the attendance system used is not effective, which causes academic dishonesty cases. Thus, a Smart Classroom system was developed using fingerprint scanner module to take attendance and QR barcode scanner to take assignment submission. The system is controlled using Arduino Mega 2560 microcontroller board and includes database and website to manage and display data. System testing shows that success rate of fingerprint scanner module in taking attendance is 90%, and success rate of QR barcode scanner module in assignment submission is 100%
ClausTher VR: Claustrophobia Therapy using Virtual Reality
Fear or anxiety about a particular situation or object is called phobia, one of the phobias that exists today is Claustrophobia which is a phobia of a closed or small room. The current Claustrophobia therapy method is still traditional, namely by placing the patient in a place that will trigger the patient’s Claustrophobia. This study aims to produce a therapeutic aid and diagnosis of Claustrophobia with Virtual Reality Exposure Therapy method that uses Android-based Virtual Reality and Photogrammetry technology that can be used by medical experts or therapist when conducting therapy to Claustrophobia patients. The research method used is prototyping model. The way to collect data that will be used is by interview and application testing. Researchers used the Unity3D Engine software to create Virtual Reality application and Agisoft Metashape software to create Photogrammetry objects. The application is expected to facilitate the Claustrophobia patients and help people to predict the level of Claustrophobia suffered. The app produced on this research was able to produce the expected virtual environment and had a limited test to user and had similar reaction to a real room. For future research additional rooms and exploration mode may be added, as well as further evaluation to see how this application can be used for therapy tools
Survey of Chatbot Testing Methods on Social Media to Measure Accuracy
The design of Chatbot aims to facilitate social activities in all areas to be considered. A Chatbot is one type of machine that can communicate with humans using natural language. Chatting is used to communicate, and it is a written conversation. Chatbot is a form of application implementation Natural Language Processing (NLP) that belongs to one branch of artificial intelligence or Artificial Intelligent AI social media now provides a service that allows developers to process and integrate chatbot applications. This paper aims to review the papers that build chatbot applications for various social media using various testing methods. The contribution to this paper is to determine which method can measure the level of chatbot accuracy best. This review paper will choose the equations of the most widely used test methods and social media from various papers, so that further research is expected to implement the right testing methods and use better social media in terms of user experience, features, and services. According to the review papers and papers, the Black-box and System Usability Scale testing methods are the most commonly used in the review papers. This testing method is a type of method that performs testing for the flow and how the chatbot works to achieve functional validation completely
IoT Framework Current Trends and Recent Advances to Management Company in The PT.TNC
The Internet of Things (IoT) is a fast growing and user-friendly technology that connects everything together. And it can communicate effectively between the people who connect "Things." Internet of Things, also known as Internet of Objects, usually refers to remote systems between projects. Systems will be remote and self-designable. However, the world's largest information technology companies tend to release products in the form of services to avoid disclosing detailed design and implementation knowledge. Hence, the overall trend of academic institutions is to use these mainstream IoT platforms as "black boxes". IoT is something that is useful as a sensor, computer architecture, software, security, packaging, technology selection based on the amount of data, as far as data is needed, whatever power you have. Fundamental way to collect and store data Thing: SQL, noSQL, and time series databases Machine learning algorithms with outputs: regression, classification, anomaly detection. Improve service quality, reduce service costs New models (precision services), Reduce consumption costs of higher quality products or services, Improve health and safety
Measuring Body Temperature Based Internet of Things (IoT) Using Esp8266 and Firebase
Measuring the body temperature can be the basis for determining the health level of a person which increasing the body temperature can also be a reference to find out whether a person infection early symptoms of a disease, both fever and cases as currently occurring, namely as an indicator of determining whether someone is indicated to be infected with the Covid 19 virus, which is currently a pandemic in the various countries. Initially, measurement the body temperature was carried out massively using the body temperature measuring device circulating in the community using a thermometer that was already standardized by SNI, wherein the measurement process like this some obstacles or problems occur, which the officer being infected the risk by virus covid19 and will cause increasing in the cases. In this study, a tool was made to measure human body temperature based on the internet of things technology, which then the measurement data will be sent to an Android smartphone application based monitoring via the internet. This tool uses the MLX-90614 sensor device [1] to detect temperature, after that the data will be processed by Nodemcu ESP8266 and stored on the Firebase server before the data will sent to the user's monitor. The measurement result data will be displayed with the android application and if the temperature data exceeds the normal limit or> 37.50C, the system will send a sound signal alarm via a buzzer. The results of this study can achieve an accuracy level of about 95% from value of data the measuring temperature using device standards SNI and data display to the application monitoring need about 3 seconds
Training on the Use of Computer Applications in Making Learning Videos (Training for MTs Miftah Assa'adah Teachers)
This Community Service activity was carried out because they we the teacher's lack of ability in making their own learning videos. This ability is very much-needed in this pandemic, because students have to do distance learning. Universitas Pembangunan Jaya conducts training for teachers at MTs Miftah Assa'adah School located in South Tangerang area. In distance learning, the use of video media is needed by students. Teacher training is conducted using a combination of online and offline methods. The teachers were also given hand-on training to create, edit and upload the learning videos they made. Training using common applications and can be obtained easily. The applications used are also applications that do not require high computer resources, so they can be done with only standard devices. For example MS Power Point, Canva and Movie Maker, VLC and even Zoom. Of the 10 indicators used as a measure, 8 of them showed an increase of over 50%. The post-test results at the end of the training also showed an improvement in the general abilities of the training participants
Cluster Evaluation Weighing Intercomparison Data with Self Organizing Maps Algorithm
Laboratory intercomparison is one of method to determine the ability and assess the performance of a laboratory. Laboratory performance can be seen from the evaluation of the En ratio’s value, which is a comparison between the difference in the value test of the participant's laboratory with reference’s laboratory and the difference in the square root of the uncertainty value form participant's laboratory and reference’s laboratory. The laboratory is declared equivalent if the En value is in the range of En ≤|1|. Intercomparisons evaluation can also be done by utilizing one of the data mining technologies in the form of clustering. Clustering is done by using self-organizing maps algorithm, which is an unsupervised learning algorithm. The advantage of clustering in evaluating intercomparation data lies in its ability to group data into several clusters that have closeness or similarity in characteristics / traits / characters of data, making it easier for intercomparation organizers to provide analytical recommendations for improving laboratory performance. Intercomparation data are grouped based on the homogeneity between members in one cluster and heterogeneity among the clusters. To get the best number of clusters, evaluation is carried out through three testing methods, pseudo-F statistic, icdrate and davies bouldin index. From several experiments, the largest pseudo-F statistic value was 167.53, the smallest icdrate value was 0.071 and the smallest DBI value was 0.053 for the 1000 g artifact. As for the 200 g artifact, the largest pseudo-F statistic value was 104.86, the smallest icdrate value was 0.289 and the smallest DBI value was 0.30
Decision Support System for Online Learning Media Selection During the Pandemic Period
Online learning media is one of the uses of technology in the form of software. During the COVID-19 pandemic, the government issued a policy for distance learning, so to facilitate the teaching and learning process between teachers and students who are in different places, online learning media are needed that can be used by educators or students. For this reason, researchers conducted research on online learning media. Alternatives used by researchers include google classroom, zoom free, google meeting free, and WhatsApp group. The criteria used by the researcher are easy to access, according to purpose, time limit for access, interactivity. The method used is the SAW (Simple Additive Weighting) method. This method is a method for calculating the weights of the criteria and alternatives so that the final weight of each alternative is obtained so that it is known which alternative has the highest value weight that can be recommended to decision makers. From the research results obtained WhatsApp group with a weight of 0.75, google classroom with a weight of 0.74, google meeting free with a weight of 0.67, zoom free with a weight of 0.55. It is necessary to do further research using different methods or combining several methods so that the research conducted by this researcher is not the end of research with the same discussion
Optimization of the Alumni Site of SMK Muhammadiyah Sintang
Alumni have an important role in the development of educational institutions in the public sphere, but regarding alumni, many schools have not used alumni in school contributions, one of which is SMK Muhammadiyah Sintang. Regarding information, SMK Muhammadiyah alumni have not implemented an online alumni data collection and management system. So far, data collection on alumni is still carried out by recording in written documents which results in data management that cannot be done quickly, and errors often occur, and it is difficult to update information about alumni. In conducting research, the authors use existing literature and literature study materials to build alumni websites using the WSDM (Website Development Design Method) research method, website development methods using Extreme Programming (XP), and the development of alumni information systems using a bootstrap framework, providing designs responsive web that gives the appearance of the website will automatically adjust the screen size of the browser used. The purpose of this research is to design or create a website that can help schools quickly and accurately in the process of data collection and data management of alumni in obtaining information about alumni