Reviewerly/exHarmony huggingface dataset:
Implementation of Telegram Chatbot as an Effective Communication Means at SMK PGRI 1 Tangerang

The use of technology in education continues to grow in response to demands for efficiency and effectiveness of communication in the school environment. This research aims to investigate the application of Telegram chatbots as an effective means of communication at SMK PGRI 1 Tangerang. The research method used is descriptive qualitative, focusing on collecting data through observation, interviews and content analysis of the use of Telegram chatbots among students, teachers and school administration staff. The research results show that the application of the Telegram chatbot as a means of communication has made a significant contribution to increasing interaction and access to information in the educational environment of SMK PGRI 1 Tangerang. Students, teachers and administrative staff showed a positive response to the use of Telegram chatbots as an efficient communication alternative, facilitating the exchange of information regarding schedules, assignments and other important information. Qualitative findings support the idea that Telegram chatbots have become an effective means of communication at SMK PGRI 1 Tangerang, opening up new opportunities for more dynamic interactions and easier accessibility of information among the school community. The implications of these findings indicate that the integration of communication technology such as the Telegram chatbot can be an innovation that has the potential to change the communication paradigm in the educational environment.
Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

Technological developments have had a significant impact on many aspects of life, one of which is patient care in hospitals. Apart from using technology in patient care, technology also provides access to effective and efficient information storage and management to record patient data for treatment purposes. In outpatient services at hospitals, there are often complaints from employees regarding the health recording system which is less than optimal. Therefore, a system that manages disease diagnoses and patient treatment recommendations is something that needs to be developed, with the hope of speeding up the performance of medical personnel, so that they can help more patients who need help. The application system design aims to help manage information related to disease diagnosis and patient drug recommendations, where this system uses Forward Chaining to assist users in identifying diseases and prescribing drugs according to the diagnosis the patient is complaining about. By using the Forward Chaining methodology, medical personnel are able to obtain patient diagnosis results more quickly. The result is an application that can help medical personnel in serving outpatients from registration, examination, to exchanging medicines. This application has been tested using black-box testing involving several respondents, where respondents can feel that this application works well and helps hospital staff in examining patients.
Stock Forecasting Information System using the Holt-Winters Method

In sales, prediction is an important element carried out by traders to help their sales efforts. Predictions involve assessing future values based on historical data. Problems that can arise from the combination of stock and transactions. The aim of this research is to create a sales prediction system, monitor sales and input transactions. This research uses the Holt-Winters method to predict sales. The main goal is to implement the findings of this research into a web administration site. In this research, transaction data is used as a basis for predictions using the Holt-Winters method. The Holt-Winters method uses a series of actual values for predictions. Parameters like Alpha, Gamma, and Beta are defined for weighting, and initial values are calculated for Trend, Level, and Seasonality attributes to achieve predicted results. Evaluation of the Holt-Winters method in this research involves searching for the Mean Absolute Percentage Error (MAPE) to determine the percentage of prediction error. The application of this research involves creating a website administration to assist sellers in combining transactions and available products. The average results of the evaluation of the administration of the website created resulted in a satisfaction percentage of 82.61%. This shows that the system can help in unifying transactions and products.
User Acceptance Testing through Blackbox Evaluation for Corn Distribution Information System

Corn Distribution Information System in Bandar Lampung has witnessed a significant surge in interest, highlighting the importance of ensuring system reliability and functionality. This research endeavors to investigate and enhance these aspects through the application of the black box testing approach, focusing on the user-centric perspective of User Acceptance Testing (UAT). Black box testing, a methodology emphasizing system functionality without delving into internal structures, is complemented by UAT to provide comprehensive evaluation. In executing 27 study cases to evaluate the system, 22 patients demonstrated proper functionality, while 5 issues were identified. Notably, 4 issues pertained to the unavailability of the export function to CSV, and 1 patient encountered difficulties with road letter generation facilities. The discussion elucidates that UAT through Black Box proves to be a valuable approach, effectively bridging the methodological gap of traditional black box and providing insightful input from end users. Furthermore, this methodology successfully identified 5 focal points that can serve as development suggestions for the company's system, previously undiscovered. In conclusion, the study underscores the efficiency of integrating UAT with black box in enhancing Corn Distribution Information System's dependability and functionality. Identified issues shed light on areas for improvement, emphasizing the need for ongoing research in system testing methodologies. Future studies are recommended to explore the integration of UAT with white box testing, iterative testing for bug identification, and comprehensive security testing within the system network. This approach ensures a holistic evaluation, addressing potential limitations and contributing to the continuous refinement of the information system.
The Use of Information Retrieval in Student Academic Document Plagiarism Detection System

The practice of plagiarism can threaten the credibility of academic documents such as final assignments, theses, theses, and dissertations. Universitas Muhammadiyah Ponorogo (UMPO) is one of the best Muhammadiyah Universities in Indonesia. All academic documents at UMPO are well stored. However, plagiarism is only found in the Turnitin database and in the title of academic documents. This research aims to pre-screen academic documents in the internal scope by creating a plagiarism application that is easy to use and cheaper in terms of cost than using Turnitin. The steps of making a plagiarism detection system in academic documents using information retrieval (IR) with waterfall development. The design process starts from system requirements analysis, design, implementation, and testing. This plagiarism detection system goes through several stages, namely tokenisation, stopword removal, stemming, and termweigthing. Tokenisation involves converting uppercase letters into lowercase letters and removing punctuation marks. Stopword removal removes noise, stemming converts words into basic forms, and termweigthing uses local and global weighting to calculate similarity with the Vector Space Model. Document similarity is calculated using cosine similarity, rejected documents are considered free of plagiarism. If there is no similarity, the document is accepted as a source document, while the rejected document is not stored in the database. Further research on the document plagiarism detection system that previously only used the txt file extension, in the future it can use the .doc or HTML extension so as to increase the effectiveness of the performance of academic document examination time.
Evaluation of Distance Measurement Using Complete Linkage Method

Cluster analysis is the process of grouping a number of objects based on information obtained from data that explains the relationship between objects with the principle of maximizing similarities between members of one cluster and minimizing similarities between clusters. Cluster analysis is useful for identifying objects (recognition), supporting decision-making systems, and data mining. Cluster analysis consists of hierarchical (Average Linkage, Single Linkage, Complete Linkage, Ward's, and Centroid) and non-hierarchical (K-Means) methods. Each method generally has advantages and disadvantages. Apart from that, there are several distance measures that are commonly used in the grouping process, such as Euclidean, Canberra Metric, Czekanowski Coefficient, and others. In general, researchers will choose one or several cluster analysis methods as a comparison and a certain distance measure to be applied to the data in order to group objects based on certain criteria. In this research, a study and evaluation of Euclidean distance measures, Canberra Metric, and Czekanowski Coefficient were carried out using the Complete Linkage method based on simulated data. The conclusion obtained from evaluating measures of object similarity, namely Euclidean distance, Canberra Metric, and Czekanowski Coefficient by applying the Complete Linkage method, concluded that Euclidean distance is better used as a measure of object similarity in grouping cases compared to Canberra Metric and Czekanowski Coefficient.
Application Of Deep Learning For Image Deepfake Detector Using Convolutional Neural Network Algorithm

Social media has long been used by the public in general as a means of exchanging information. Behind this commonly exchange of information, hide the malicious intent of those who are not responsible for spreading false information or hoaxes. This false information, which can come in various forms such as images, sounds, or videos, can actually be useful when used as stock photos or simply used as caricatures and satire. Unfortunately, false information often used on famous people instead to make them look like they said or did something that never happened. This certainly needs to be controlled, one of which is by using deepfake detector that aims to recognize false information pattern. Deepfake detector utilizes the computer's ability to self-learn to recognize that invisible patterns in images using one of deep learning algorithms, namely Convolutional Neural Network, which converts images into a collection of arrays containing numbers and then performs mathematical operations repeatedly on each layer. The result of the mathematical operation can then be used as a reference to determine whether an image is real or hoax. Author’s deepfake detector application using Convolutional Neural Network, specifically using the Resnet-50 model on hoax images created using AI with the ProGAN model, appears to be able to detect hoax images with the same model, with an accuracy of 85%, precision of 100%, and recall of 65%, but appears to experience decrease in accuracy when used in deepfakes with other models such as StyleGAN and BigGAN.
Software design ARM "Medical and educational station"

By analyzing the nature of information systems professional determine their often as professionally-oriented small computer system situated directly in the workplace specialists and designed for the automation of their work. For cach object management is necessary to provide workstations corresponding to their functional purpose. However, the principles of IP should be common: consistency, flexibility, stability, and efficiency.
ANDROID-BASED DEVELOPMENT OF INTERACTIVE MULTIMEDIA LEARNING APPLICATION SYSTEMS FOR CHILDREN

&lt;em&gt;Technological developments have progressed very rapidly, marked by progress in the field of technology and information. Information technology has now spread to almost all aspects of life, one of which is that it has entered the educational aspect which is used as an interesting learning medium, because it is able to provide new colors in the learning process, and can use a learning while playing approach so that the learning process can feel happy, so that later students are able to express themselves maximally in the learning process. In education there are many things that need to be considered in child development so as to avoid various obstacles in the learning process, such as color blindness, speech delays, and other pre-school abilities by introducing cognitive education to children such as recognition of numbers, letters, colors. And according to IDAI this cognitive recognition period is recommended for children aged 2 -5 years. Researchers developed an Android-based interactive multimedia learning system for children with the aim of providing facilities to parents for children in introducing cognitive aspects with new colors, namely in the form of interactive multimedia applications. The development method used is MDLC (Multimedia Development Life Cycle), because the application being developed involves various media such as sound, images and text. The development of this application also applies quiz content to maximize children's learning media. Through testing using Black Box Testing, the WARUKA Education application that was developed managed to achieve good results. All the features contained in the application run well and as expected. In the User Acceptance Testing test using a questionnaire, the WARUKA Education application gets positive results, with a user satisfaction percentage of 94.167%. Based on this percentage, the WARUKA Education application can be categorized as very good, indicating very high acceptability for users.&lt;/em&gt;
PERANCANGAN VISUALISASI ANIMASI 2D INTERAKTIF SIKLUS PANJANG HIDROLOGI BERBASIS LAZARUS

&lt;p&gt;&lt;em&gt;Technological advances have had a positive impact on various aspects, including education and understanding of natural phenomena. One natural phenomenon that is important to understand is the long cycle of the hydrosphere which involves changes in the phase of environmental water. The main goal of this design is to create a visualization that can clearly and comprehensively depict the long cycle of the hydrosphere. The design methods used include literature analysis, user interface design, hydrosphere cycle modeling, and implementation of interactive animation using Lazarus. The data and information needed to produce this animation were collected from trusted sources and verified by experts in the field of hydrology. Users can easily understand various aspects and processes of the hydrosphere cycle through interesting and informative animations. Lazarus, a Free Pascal-based software development environment, because it offers high flexibility and affordability in developing interactive 2D animation rendering applications. The result of this design is an interactive 2D animated visualization application that gives users an idea of how to explore the long cycle of the hydrosphere using interactive controls. Users can see the changes that occur at each stage and monitor the progress of the steps according to their wishes. It is hoped that this visualization will contribute to education and understanding of the hydrospheric cycle and will be a useful tool for teachers and students in interactive learning. Apart from that, the development of this application can be the basis for developing other visualizations related to natural phenomena.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;2D animated visualization, interactive, long cycle of the hydrosphere, Lazarus, Education&lt;/em&gt;&lt;/p&gt;
PENGENALAN KOMPONEN KOMPUTER BERBASIS AUGMENTED REALITY PADA ANDROID DENGAN METODE SINGLE MARKER

&lt;p&gt;&lt;em&gt;Computers are one of the most popular electronic devices today. With the development of PC games and Esports in the world, computers are becoming more and more popular among young people today. Computers have many components that are needed as a support so that the computer can be used.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;At the education level, students are taught about the components in a computer. However, the introduction still uses images because it is difficult to introduce the components one by one. One way to easily introduce components on a computer is to use Augmented Reality technology. Augmented Reality allows users to be able to combine the virtual world, both 2D and 3D, with the real environment in real time. This application is based on Android and is built using the Unity3D Game Engine.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;The method used in developing this computer component recognition application is the single marker method and uses the FAST Corner Detection algorithm. In addition, application development will use the Multimedia Development Life Cycle (MDLC) method. The reason for making this computer component recognition application is so that it can be a tool to introduce computer components to students more attractively and make it easier for students to absorb the existing material.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Based on the test results, the single marker method and the FAST Corner Detection algorithm were successfully implemented into the application. The application can run well on Android 5.1 to Android 10 with a minimum of 2GB RAM. The results of the single marker method test that the marker can be detected by the camera. Marker detection can be done on markers with a slope of 0° - 45°. The closest distance for marker detection is 4cm and the farthest distance for marker detection is 92cm. The results of the questionnaire on questions about the functionality of the application with a total of 30 respondents who were students of Class 12 Bunda Mulia School answered "strongly agree" more than 50% and on questions about the use of applications as learning aids answered "strongly agree" more than 50%. These results mean that the application of the introduction of computer components has a good impact on the respondents.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Augmented Reality, Unity 3D, Vuforia, Android, Single Marker, FAST Corner Detection, Computer.&lt;/em&gt;&lt;/p&gt;
ANALISA PERBANDINGAN TINGKAT EFISIENSI ALGORITMA DATA DEFINITION LANGUAGE COPY, INPLACE, INSTANT DATABASE MYSQL

&lt;p&gt;&lt;em&gt;MySQL database schema changes are becoming more frequent than ever, Four out of five application updates (releases) require appropriate database changes, For Database schema changes are more often a repetitive task, it may be a request from the application team to add or modify a column in a table and many cases other. This study aims to measure the level of time efficiency to modify the sales transaction table schema which consists of 50000 number of records in the MySQL database with the Data Definition Language (DDL) Copy, Inplace and Instant algorithm on the MySQL database.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
ANALYSIS OF ANTI COMPUTER FORENSICS TECHNIQUE USING OVERWRITING METADATA METHOD ON DIGITAL EVIDENCE

&lt;p&gt;&lt;em&gt;The development of technology during this globalization period is very fast and rapid, especially during the pandemic in this world which makes all activities like education, work etc. carried out online-based. Because, with the increase in the use of online-based media, a problem arises like crimes that use online or digital media as an intermediary known as cybercrime. With this cybercrime, a science that can be used in securing personal data is needed, namely anti-computer forensic science. This research is focused on the analysis and implementation of forensic anti-computer science in securing personal files. In this study, the anti-computer forensic method that will be analyzed and applied is metadata overwriting, data destruction, and data hiding.In this test, the three methods will be broken down again into several sub methods or techniques such as file obscure manipulation, file timestamp manipulation, secure deletion, and data encryption. The results of the application of several categories of techniques will be written and then analyzed.The results of the study showed that the technique tested was very good and safe in securing personal files so that they could not be detected by systems or digital forensic software but there were still weaknesses, namely in the data hiding section if the password or key used was simple, it would be easy to hack.&lt;/em&gt;&lt;/p&gt;
NATURAL DISASTER EVENT MAPPING IN WEST JAVA USING K-MEANS ALGORITM

&lt;p&gt;&lt;em&gt; Natural disaster is an event that cannot be avoided, therefore a mapping of occurrence of the natural disaster is needed. In additional to mapping, clustering of natural disaster events is also needed to determine which areas have low to high intensity events. In performing the clustering, a method or algorithm can be used, namely the k-means algorithm.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;In the research conducter, the scope of natural disasters is West Java Province with the attributes used are floods, landslides and tornadoes. And also from this research, it was conducted to find out how many optimal number of clusters that can be clustered.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The method that used in this study is the K-Means algorithm which is used to perform clustering. The Elbow method is used to determine the optimal K value from the dataset by calculate the SSE (Sum Square Error) of each predetermined cluster.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;From the result of its application, the K-Means algorithm can cluster datasets of Natural Disaster in West Java with predetermined attributes. Based on the calculation results from the elbow method, the value of K from the dataset is 4. And from the research conducter, the accuracy rate of each cluster is 0,04% to 0,56%.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;K-Means, Natural Disaster, Elbow Method, Cluster, Machine Learning&lt;/em&gt;&lt;/p&gt;
PERSEPSI PESERTA DIDIK TERHADAP PEMBELAJARAN GEOGRAFI SECARA LURING DAN DARING PADA SMA NEGERI DI KOTA BONTANG

Learning geography carried out using offline and online methods will lead to different perceptions. Perception arises because students experience and directly observe geography learning which is carried out offline and online. This study aims to (1) determine students' perceptions of online geography learning at State Senior High Schools in Bontang City, and (2) determine students' perceptions of online geography learning at State Senior High Schools in Bontang City. This research is a type of descriptive research with a quantitative approach. The population in this study were students of class XII Social Sciences SMA Negeri Bontang with a population of 265 students using the Cluster Random Sampling sampling technique with a sample of 79 students. Data collection techniques in this study were interviews and questionnaires. The results showed that some of the students' perceptions of offline geography learning at State Senior High Schools in Bontang City stated strongly agree with the number of 47 students (59%), and students' perceptions of online geography learning at State Senior High Schools in Bontang City stated that they agreed with total 46 students (58%). Based on these results, there is a tendency that students prefer if learning is done offline, because students understand the material better and can interact directly with the teacher and their friends.