Reviewerly/exHarmony huggingface dataset:
Implementation of Type-2 Fuzzy Controller in Matlab Software

The purpose of this work is to create a Matlab toolbox that makes it easy and accessible to get acquainted with a novel control method called type-2 fuzzy controller.A toolbox for working with type-1 controllers can be found in the Simulink package, while there is only few, simple toolboxes for type-2 fuzzy controllers.The article describes the details of the created software, which allows you to work both with simulation objects, but also enables you to create program code for an PLC industrial controller.This gives you the opportunity to work in a simulation environment with a model of the control object and then, after tuning the controller, to automatically implement the controller to control the real object.In the literature, you can find many methods for reducing type-2 to type-1 fuzzy logic, but most often they are compared to several well-known classical reduction methods, such as the KM algorithm.There is no compilation of the most popular methods and a comparison of their performance.With the new toolbox it was possible to quickly create and add new reduction methods so in the article an analysis of 16 reduction methods is also presented.
BENEFITS AND ATTITUDES OF INDONESIAN UNIVERSITY STUDENTS TOWARDS EXTENSIVE READING ACTIVITIES IN LEARNING ENGLISH GRAMMAR

In learning a second or foreign language, students commonly read for pleasure, which is called extensive reading (ER). Extensive reading is commonly related to increasing vocabulary knowledge and reading skills; however, extensive reading can also expand learners’ grammatical knowledge Based on the study of Khansir and Dehghani (2015), it was found that ER has improved their Iranian participants’ English grammar (as stated in Ng, Renandya, Chong, 2019, p. 180-181). Referring to the positive outcome of their study, this study aims to investigate Indonesian university students’ perceptions of the benefits of ER activities on their English grammar knowledge and also their attitudes after experiencing ER activities in Grammar class. The research participants were 30 Indonesian university students who attended Grammar classes at a private university in West Java. The instruments used were an online questionnaire which was distributed at the end of the semester and the students’ weekly ER log. The questionnaire result was counted manually before they were classified into certain categories, whereas content analysis was used to select and analyze the data from the learning log. The findings show both positive and negative outcomes regarding the students’ grammar knowledge and attitudes.
PENGARUH MODEL PEMBELAJARAN MIND MAPPING BERBANTUAN MEDIA POWER POINT TERHADAP HASIL BELAJAR

Students' mathematical learning results are influenced by many variables, including students, parents, schools, curricula, and mathematics itself. Preliminary observations showed that 27.7% of students received a score above 75 and 72.3% received a rating below 75. The minimum score for the exam was 75, which is the average grade. Many factors can contribute to poor student learning outcomes, including the role of teachers as instructors and their influence on students in creating and using inappropriate learning strategies. An alternative that can be developed on a model with learning is to use a mind mapping defence model. This survey aims to find out how much influence it has found on the mind mapping defense model with the help of power points. The type of quantitative research used in this study is the design of a single group pretest-posttest. The test results are known to have a thitung value of 3.27. Thitung values are matched to with Table values with a significant upgrade of a=0,05 and obtained Table Values of 2.063. Thitung Values are derived that is greater than Table Value (thitung = 3.27 &gt; ttable = 2.063 then Ha is accepted, that is, using the learning model of Mind Mapping and PowerPoint media, the student's learning results can be influenced.
Application of the Object Oriented Analysis Method and Design Web Profile at MA Darussalam Pangkal Pinang

Web profile is one of the effective media for disseminating information in introducing the institution to the wider community. This is what is used by many government and private agencies, one of which is an educational institution or school. MA (Madrasah Aliyah) Darussalam Pangkalpinang is one of the education institutions under the auspices of the Ministry of Religion of the Republic of Indonesia. MA Darussalam Pangkalpinang does not currently have a Web Profile as a means of disseminating information to the public at large. This research has the objective of helping MA Darussalam Pangkalpinang to have a medium for disseminating information that can be accessed by the wider community easily, effectively, and efficiently. In making the Web Profile in this study, the Object Oriented Analysis and Design (OOAD) method was used which has several work stages that can optimize web performance to be optimal. Based on the OOAD method in this study, there are 5 diagrams used, including Use Case, Activity, Collaboration, Sequence, and Class Diagrams. The result of applying the OOAD method is a website-based school profile application that contains useful information belonging to the school, especially MA Darussalam Pangkalpinang which can be accessed by students and the wider community. With this web profile, it is hoped that it will help MA Darussalam in promoting their school more broadly and building a better school branding.
Analysis and Design of Ticketing Application System (Case Study: Bebek Kaleyo)

Bebek Kaleyo is a restaurant chain with several outlets in the food business. Information technology (IT) equipment is used extensively in Bebek Kaleyo's operating processes, and any problems with the IT hardware are escalated to the IT department for solutions. However, each restaurant branch's reporting of interruptions is still done by hand. Based on these issues and the analysis, it is necessary to speed up the complaint procedure to guarantee quick repairs of IT equipment and successful execution of tasks. The research was conducted by examining the company's daily activities, and the results were used to develop a ticketing system for monitoring process improvements and reporting interruptions. A ticketing system that facilitates effective reporting of IT issues and monitors process improvements was designed and developed as part of this research using the prototype methodology. The installed ticketing system helps users at each branch report problems, keep track of repairs, and improves the efficiency and quality of service provided by the IT department in support of the supply and use of system and technology-related facilities. By using this ticketing system, Bebek Kaleyo hopes to improve overall process efficiency while streamlining the process of reporting IT concerns. This solution gives branch users the ability to discuss IT issues with the IT department in an efficient manner, which improves the organization's operational performance.
Deep Transfer Learning for Sign Language Image Classification: A Bisindo Dataset Study

This study aims to identify and categorize the BISINDO sign language dataset, primarily consisting of image data. Deep learning techniques are used, with three pre-trained models: ResNet50 for training, MobileNetV4 for validation, and InceptionV3 for testing. The primary objective is to evaluate and compare the performance of each model based on the loss function derived during training. The training success rate provides a rough idea of the ResNet50 model's understanding of the BISINDO dataset, while MobileNetV4 measures validation loss to understand the model's generalization abilities. The InceptionV3-evaluated test loss serves as the ultimate litmus test for the model's performance, evaluating its ability to classify unobserved sign language images. The results of these exhaustive experiments will determine the most effective model and achieve the highest performance in sign language recognition using the BISINDO dataset.
RANCANG BANGUN APLIKASI MOBILE WEB UNTUK MARKETPLACE KLINIK HEWAN

Pet owners rely on veterinary clinics to meet the healthcare needs of their pets, and yet, many veterinary clinics still manage data using conventional methods without fully utilizing digital information systems. This leads to issues such as repetitive registration, difficulties in obtaining copies of medical records, and challenges in finding nearby veterinary clinics. This research aims to address these problems by designing and developing a mobile web application for a veterinary clinic marketplace. The application consists of two main components. The front-end utilizes the React.js library based on Progressive Web Apps (PWA), while the back-end utilizes the Express.js framework. To ensure the overall functionality of the application, black box testing is conducted by the developer. Through this approach, the application is expected to assist pet owners in searching for and accessing information about veterinary clinics, viewing the services provided, and managing pet medical records digitally and easily. This research contributes to optimizing data management in veterinary clinics and enhancing the experience of pet owners.
PERANCANGAN PLTS TERAPUNG UNTUK MENDUKUNG WISATA HIJAU DI BENDUNGAN TAMBLANG, DESA SAWAN, KABUPATEN BULELENG

The Province of Bali have many dams, one of it is the Tamblang Dam, which is located in Sawan Village, Sawan District, Buleleng Regency. The Government of Buleleng Regency is planning to make Tamblang Dam as a new Tourist Destination Area (Daerah Tujuan Wisata or (DTW) in order to improve the existing tourism conditions in North Bali. It is planned to utilizing Renewable Energy (Energi Baru Terbarukan or EBT) sources to support the needs of DTW and to support government programs to reaching the Bali's clean energy target on 2050. The Renewable Energy Power Plant that will be designed is a Floating Solar Photovoltaic (PV) Power Plant, as it the potential source of energy considering that Indonesia is located on the equator. The Solar PV Power Plant is designed using the tool from website by utilizing 5% of the surface area of the dam water which is 4,561.97 m2, based on Kementrian PUPR no 6 Tahun 2020 regulation. So that a Floating Solar PV Power Plant capacity of 0.6 MW is obtained by using 1,533 solar modules and produce energy reaching of 926,539 kWh in a year. The designed Floating PV need an initial investment cost of IDR 13,551,481,157, with the result of economic analysis, obtained value of each parameter including the NPV value is IDR 7,470,053,884, BCR is 2.66, and PP is less than 25 years.
Perancangan Sistem Informasi Pendaftaran Pasien Rawat Jalan Menggunakan Visual Studio 2010 Di RSUD Al-Ihsan

Registration is the initial process of the entire medical recording process that will be carried out on patients in the implementation of health services to patients. Registration is one of the very important initial processes. This study aims to determine the design of the outpatient patient registration information system using Microsoft Visual Studio 2010 at RSUD Al-Ihsan so that the outpatient patient registration process can be well-integrated and efficient in terms of patient service time and also make it easier for officers to register patients. The research method used in this study is a qualitative method with a descriptive approach. The technique used to collect data was through direct observation, interviews with medical record officers, and also a literature review of previous studies. The problem that occurred in the hospital was when patients registered for outpatient services, the patient's name did not appear in the system. To overcome this problem, this design was made using the System Development Life Cycle (SDLC) development method through the stages of needs analysis, design, implementation, and testing assisted by the creation of flowmap designs, Context Diagrams, Data Flow Diagrams, and Entity Relationship Diagrams, which were then implemented using Microsoft Visual Studio 2010 as a programming language using the Microsoft Access database so that the data that has been inputted can be saved so that the names of patients who have registered for outpatient services can appear. The results of the system design that have been made and tested using Black Box testing show that the system functions as intended. In conclusion, the information system design can help and facilitate registration officers in serving patients at the outpatient patient acceptance site effectively and efficiently.
Comparative Analysis of Techniques Used to Detect Copy-Move Tampering for Real-World Electronic Images

Evolution of high computational powerful computers, easy availability of several innovative editing software package and high-definition quality-based image capturing tools follows to effortless result in producing image forgery. Though, threats for security and misinterpretation of digital images and scenes have been observed to be happened since a long period and also a lot of research has been established in developing diverse techniques to authenticate the digital images. On the contrary, the research in this region is not limited to checking the validity of digital photos but also to exploring the specific signs of distortion or forgery. This analysis would not require additional prior information of intrinsic content of corresponding digital image or prior embedding of watermarks. In this paper, recent growth in the area of copy-move tampering identification have been discussed along with benchmarking study. In this study, three combination of methods like discrete cosine transform with Fast K-Means, discrete wavelet transform with Fast K-Means and discrete cosine transform with Fuzzy-C means can efficiently locate duplicated regions with quantitative parameter i.e. 92%, 83% and 92% respectively. With variety of methodologies and concepts, different applications of forgery detection have been discussed with corresponding outcomes especially using machine and deep learning methods in order to develop efficient automated forgery detection system. The future applications and development of advanced soft-computing based techniques in digital image forgery tampering has been discussed.
Penggunaan Media Interaktif sebagai Bahan Literasi Digital Era 21 untuk Pembelajaran di Sekolah Dasar

With technology from age to age increasingly sophisticated in the needs of all of us. Technological progress is accelerating, and with digital literacy through interpainful media it is easier for students to achieve excellence and educational goals. Education in the 21st era, students are more likely to close or adapt to learning through the media because it portrays material through digital literacy with interactive media to achieve the purpose of learning. The methods used in this study use the analysis of content from various journals by describing them. With this study, researchers have excavated digital literations regarding interactive media for elementary school children. The study also brought positive values with informative, inspiring and useful value. As a result of this study, it presents interactive media as text, animation, or comics, existing media from youtube, powerpoint given by teachers or getting information from the Internet, kahoot, edmodo, Google classroom, Google meet, quiziz, e-book or something else and can be used as a digital literacy for students or readers to understand.
YOLOv5 with Dual Attention Network for Object Detection on Drone

Detecting the objects in images is a fundamental and crucial research field in computer vision, aiming to locate and classify objects in images. Applying object detection to drones offers numerous advantages. However, to achieve this, the light-weight algorithm is mandatory to operate in real-time on low-cost devices such as Lattepanda and Jetson Nano. In this paper, we propose the YOLOv5 Network with the incorporation of Efficient Residual Bottleneck and DANet. The Efficient Residual Bottle-neck can decrease the parameters, making the model lightweight and reducing computational complexity. DANet emphasizes important image features while suppressing noise and unnecessary information, thereby improving object detection performance. We trained our model on the VisDrone dataset, and compared to YOLOv5, the proposed model achieved approximately a 12% improvement in mAP (mean Average Precision) with an mAP value of 22.8, while reducing the number of parameters by approximately 55% to 3,897,433.
Kriptografi dan Penerapannya Dalam Sistem Keamanan Data

An understanding of what cryptography is, to understand cryptography and how it is applied in data security, so that data will be safer and more protected from spamming or illegal hacking of information. Observations of cryptography and its application to data security are carried out using the Approach of Literary Studies. Library Studies is a data collection technique by studying various reference books and the results of previous similar research, which is useful for obtaining a theoretical foundation on the problem to be studied. Cryptography is a technique of conveying messages in a hidden manner by utilizing data encryption features, which serve to secure data, whether transferred through a computer network or not, which is very useful for protecting, privacy, data integrity, authentication, and non-repudiation. Nowadays the use of cryptography has begun to be widely used in everyday life. Use cryptographic systems for the security of your data when accessing information.
Peningkatan Pengamanan Data File Menggunakan Algoritma Kriptografi AES Dari Serangan Brute Force

Abstract− Data is a component that can be collected into a single unit and managed, so that it can be used as useful information. Any information that has been collected will later be stored in digital form in the form of files that can then be managed in such a way before the file is published. By using information into the form of files, it can save more than the use of paper types. However, along with the times, the use of digital files has a level of security that is starting to be risky because there are often data breaches from parties who do not have the right to use data. Some of the methods used for data breaches are to use brute force methods. So to be able to anticipate the data breach, several methods are needed that can be used to secure data, including using cryptography with the AES (Advanced Encryption Standard) method. With the use of this method, it is hoped that at least it can increase the security of file data used and stored in digital archives.
Increasing Access to Research

In the ever-evolving landscape of scientific research and scholarly publications, staying synchronized with technological advancements and industry standards is crucial. JAMI, a scholarly research journal, has taken a significant leap forward by registering with CrossRef and implementing Digital Object Identifiers (DOIs) for each article, volume, and issue. This proactive move not only demonstrates our commitment to enhancing access and visibility of scientific content but also heralds a promising future for our journal.
Secure Synchronization of Artificial Neural Networks Used to Correct Errors in Quantum Cryptography

Quantum cryptography can provide a very high level of data security. However, a big challenge of this technique is errors in quantum channels. Therefore, error correction methods must be applied in real implementations. An example is error correction based on artificial neural networks. This paper considers the practical aspects of this recently proposed method and analyzes elements which influence security and efficiency. The synchronization process based on mutual learning processes is analyzed in detail. The results allowed us to determine the impact of various parameters. Additionally, the paper describes the recommended number of iterations for different structures of artificial neural networks and various error rates. All this aims to support users in choosing a suitable configuration of neural networks used to correct errors in a secure and efficient way.
The Formation of Russian Genre Cinema at the Beginning of the 21st Century

The problem of genre formation in cinema constantly causes controversy and discrepancies among art historians, since this type of creativity is synthetic, using the creative possibilities of other types of art. Сommon in the definition of the term “genre” is only the provision that a genre is a way of embodying a certain concept of reality in a work, creating an artistic picture or an artistic model of the world, perceived from a certain angle, which implies a limitation in the choice of means of artistic embodiment of the theme of the work. Like any complex concept, a genre should be considered in a system of several coordinates, among which the dominant features inherent in a particular genre play the most significant role. These two dominants are: 1) the emotion that the film should evoke in the viewer (laughter, horror, sympathy, etc.); 2) the theme of the film (historical, military, sci-fi, etc.). When investigating the problem of genre formation, one should also not forget that the genre is a historical category, i. e. the specific period in which it was created plays an important role in determining the genre characteristics of a particular film. Over the past 30 years, Russian cinema has undergone significant changes in the aesthetic and ethical paradigm, including changes in the themes and genre palette of films. This article is the first attempt to analyze the process of mastering by Russian cinematography new genres for it, which were not previously in the repertoire of Russian cinema (fantasy, disaster film, horror, biopic, musical). Having considered the problem of interaction between cultural globalization and national mentality, the author comes to the conclusion that, having survived the period of imitation of foreign models, Russian genre cinema at the present stage has the opportunity to gain self-identification and become an art that is in demand by a wide audience.
Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization

While we typically focus on data visualization as a tool for facilitating cognitive tasks (e.g. learning facts, making decisions), we know relatively little about their second-order impacts on our opinions, attitudes, and values. For example, could design or framing choices interact with viewers' social cognitive biases in ways that promote political polarization? When reporting on U.S. attitudes toward public policies, it is popular to highlight the gap between Democrats and Republicans (e.g. with blue vs red connected dot plots). But these charts may encourage social-normative conformity, influencing viewers' attitudes to match the divided opinions shown in the visualization. We conducted three experiments examining visualization framing in the context of social conformity and polarization. Crowdworkers viewed charts showing simulated polling results for public policy proposals. We varied framing (aggregating data as non-partisan "All US Adults," or partisan "Democrat" / "Republican") and the visualized groups' support levels. Participants then reported their own support for each policy. We found that participants' attitudes biased significantly toward the group attitudes shown in the stimuli and this can increase inter-party attitude divergence. These results demonstrate that data visualizations can induce social conformity and accelerate political polarization. Choosing to visualize partisan divisions can divide us further.