Reviewerly/exHarmony huggingface dataset:
Image Noise Detection and Classification Based on Combination of Deep Wavelet and Machine Learning

In the last decade, the number of digital images has increased dramatically. Noise is unwanted particles or signals contaminating the image during the captured image and transmission. Image noise reduces the image quality and increases the processing failure ratio. It is highly recommended to remove the noise, and before removing the noise, we have to know the type of noise, which highly assists in suggesting the proper de-noise algorithm. This study introduces a method to effectively detect and recognize image noise of various types (Gaussian, lognormal, Rayleigh, Salt &amp; Pepper, and Speckle). The proposed model consists of two stages: the first stage is detecting the noise in an image using Convolutional Neural Network. The second stage classifies the noisy images into one of five types of noise using a new method based on a combination of deep wavelet machine learning classifiers, we select five machine learning classifiers (support vector machine, decision tree, random forest, logistic regression, and K-nearest neighbor) to choose the more efficient classifier ultimately. The combination of wavelet with machine learning, specifically SVM, can highly enhance the results, where the accuracy was (91.30 %) through many experiments conducted to build a sturdy classification model.
Pengembangan Engine Web Crawler Sebagai Pencari Jejak Serangan Cyber Stored Cross-Site Scripting

Cross-site Scripting (XSS) vulnerability has long been a concern in web application security and is included in the OWASP Top 10 list. In 2017, XSS ranked 6th, but in 2021, it rose to the 4th position in the Injection category. This vulnerability exploits poorly validated input forms. This study aims to identify web pages that are vulnerable to Stored Cross-site Scripting attacks. The research is conducted by performing a search at three levels of depth. Web scraping is used to extract data from web pages, and the source code of the web pages is compared to Stored Cross-site Scripting attack patterns using the Knuth-Morris-Pratt algorithm. The results of the study indicate that some web pages exhibit detected attack patterns and traces of attacks, while others only show attack patterns without visible traces of attacks. Based on manual analysis of 56 randomly selected data from the research, it was found that 5 web pages had true positive values, indicating the presence of attack patterns and traces of attacks. Meanwhile, 49 other web pages had true negative values, where attack patterns were detected but no traces of attacks were found. This research provides insights into web pages vulnerable to Stored Cross-site Scripting attacks. The findings can be used to enhance web application security and reduce the potential for Cross-site Scripting attacks in the future.
Kacio Batusangakar Outlet E-Commerce Information System Design Using the YII2 Framework

According to Presidential Decree No. 99 of 1998, the replacement of small businesses with business sectors which are predominantly small business activities and need to be protected to prevent unhealthy business competition. In the development of information technology, especially in the field of internet, it is a global network that unites computer networks and interactions between one another throughout the world. The aim is by connecting the network with the producer's computer to the internet, the producer can establish relationships with buyers or customers more efficiently. In this final assignment we use the E-Commerce information system method with the YII 2 framework. And in this final assignment we produce an E-Commerce information system for the Kacio outlet in the Batusangkar area using the YII 2 Framework. By using E-Commerce marketing can be done anywhere and anytime because customers only need to access the website that has been provided.
Rancang Bangun Sistem Informasi Pemantau Kesehatan Balita Menggunakan Sistem Inferensi Fuzzy

Proper use of Information Technology in the health sector will significantly help the management of information become easier to done, business processes become more effective than before, and most importantly, services for the community can be done more efficiently, better and more accurately. The Indonesian government is eager to become an independent country, and of course, this can be achieved with the optimal next generation of the nation. However, the facts on the ground cause nutritional problems, and malnutrition occurs in Indonesia. Cases of hunger and poor nutrition are not monitored because the current medical record application has not been able to provide information on the nutritional status of children under five automatically. The impact is that many problems about malnutrition and malnutrition are not well monitored given the complete medical record data they have. This study aims to discuss and develop the Toddler Health Monitoring module, which is an additional component in the application of medical records. Fuzzy Tsukamoto's inference method is used to create a reasoning engine that can determine the nutritional health status of toddlers because this method is flexible and improves data on output, it is easier, can be accepted by many people, and it is more suitable to understand by the humans.
SHIKSHAK PRABHAVSHILTA AUR KAKSHA PRAVANDHAN MAEN BHAVNATMAK BUDHIMATTA KI BHUMIKA

Education is important in society as it influences the educational and cultural development of students. Teacher effectiveness refers to their skill in connecting with students through emotional, supportive, and positive interactions. Emotional intelligence improves student effectiveness. Emotional intelligence is developed and maintained through attention, perception, intelligence, awareness, and attention. Emotional intelligence allows a person to understand themselves and the people around them and makes interactions with their peers more enjoyable and enriching. Emotional intelligence helps people to understand and develop their feelings, emotions, sensations, and sensibilities.
Training on Optimizing the Use of Microsoft Word Applications for Students of the Faculty of Fisheries, University Abulyatama

The rapid development of technology directly requires users to able adaptation to these developments. Likewise, students must be able to adapt to technology so that activities related to lectures can be done easily. This service activity aims to help students understand the use of Microsoft word application software so that it can make it easier for them to do assignments, write reports, write final assignment and other needs. The method used in this service activity in the preparation, implementation and evaluation of activities. The training materials include how to write papers, paragraphs, insert tables and merge cells, insert images, page setup, create a list of images and create a table of contents. Based on the results of the evaluation of this service activity, it was found that this activity had a positive impact on participants. This is indicated by the increase in the the ability of participants who participate in the activity. In addition, the participants were very enthusiastic about participating in this activity until it was finished.
Structured Model of “Three Flows in One” Emergency Preplan Based on Knowledge Graph

Emergency preplan can be viewed in the guidance document to respond to emergencies. To improve its effectiveness and applicability, this dissertation raised the structural model and method of the “Three flows in one” convergence emergency preplan based on a knowledge graph, which, constructed on the “Three flows in one” of the structural decomposition and connection of scenario flow, task flow, element information flow, aims to achieve the digitalization and intelligentization of emergency preplans. In terms of improving the decision support ability of emergency preplans, promoting the management system and modernization of emergency, it is of great practical significance.
Development Of Webtoon-Based Comic Learning Media On Human Respiratory System Topic For Class VIII Middle School

Research on the development of Webtoon-based comic learning media on the material of the human respiratory system to increase the learning motivation of grade VIII junior high school students aims to determine whether there is a significant influence on student motivation after the application of the media developed by the researcher. Media development used the ADDIE model RD strategy, while to determine the effect on student motivation, the ARCS motivational questionnaire (Attention, Relevance, Confidence and Satisfaction) was used and then analyzed using the normality test and Paired Sample t-Test. The results of the study showed that there was an increase in the average value of motivation from before and after the application of the developed media, so that it can be stated that the developed media has a significant influence on the learning motivation of Grade VIII junior high school students.
PERENCANAAN INSTALASI PENGOLAHAN AIR LIMBAH DOMESTIK SYSTEM LUMPUR AKTIF DI GEDUNG TRANS MART

This study aims to design a waste water treatment plant (WWTP) design; reference in making WWTP in another place; and do waste water treatment so it is not harmful to the surrounding environment. The location of the research in the Jakarta Transmart building, when this research was conducted in March to June 2018. The method used in the implementation of this study planning was the preparation of reports that included analysis of waste characteristics; review of literature studies that are used to study supporting theories during conducting problem analysis and discussion so that they can be considered into the planning of wastewater treatment institu- tions that will be carried out; collection of primary data and secondary data as material for study of wastewater treatment plant planning; and design, calculation of the dimensions of the wastewater treatment plant, technical specifications. Planning criteria, among others: processing efficiency and achieving target results in accordance with desired quality standards; land area needed; and care must be easy and simple. The results showed that the estimated discharge of water requirements found in the Transmart building was around 59.97 m³ / day, obtained from the calculation of the area of the building building to meet the needs of clean water needed per square meter. Aeration tank volume and Aeration 1 dimensions: 3.35 m long, 4.450 m wide, 2.550 m depth, 0.625 m free space height, 38.01 m³ volume. Aeration 2: 3.375 m long, 4.450 m wide, 2.550 m depth, 0.625 m free space height, 38.3 m³ volume. Total aeration body area = 76,315 m. Tub sedimentation: 3.35 m long, 2.850 m wide, 2.350 m depth, 0.90 m free space height, 38.3 m³ volume. Volume: 13.7. Tub Equalization: 2.625 m long, 5.975 m wide, 2.60 m depth, free space height 0.575 m, volume 40 m³. In the design of planning the installation of wastewater treatment systems for activated sludge should be added or further processing so that the water from processing can be reused and not wasted, such as filtration so that it can be used such as for washing vehicles, watering plants etc.
Text Extraction of Esports Summary Score Image in the Thai Language Using OCR Technology

The esports industry in Thailand has gained widespread attention, with several organizations starting to organize RoV tournaments to enhance the excitement of the competitions. Consequently, statistics of each match are collected and utilized as data for promoting each round of the competition. Conventionally, the method of data collection involves capturing images of the match results and manually inputting the information for further analysis. However, this process often leads to errors or delays, particularly when dealing with a large volume of data. To address these issues, the researchers explore the use of Optical Character Recognition (OCR) for data extraction from images, aiming to reduce errors associated with manual data entry and improve the convenience and efficiency of data collection. A comparative analysis of image data extraction performance between pytesseract and easyOCR reveals that pytesseract provides superior data extraction results and requires less time for the extraction process.
Unconditionally Secure Ciphers with a Short Key for a Source with Unknown Statistics

We consider the problem of constructing an unconditionally secure cipher with a short key for the case where the probability distribution of encrypted messages is unknown. Note that unconditional security means that an adversary with no computational constraints can only obtain a negligible amount of information (“leakage”) about an encrypted message (without knowing the key). Here, we consider the case of a priori (partially) unknown message source statistics. More specifically, the message source probability distribution belongs to a given family of distributions. We propose an unconditionally secure cipher for this case. As an example, one can consider constructing a single cipher for texts written in any of the languages of the European Union. That is, the message to be encrypted could be written in any of these languages.
Pengaruh Penerapan Strategi Pembelajaran Kooperatif Learning Tipe Numberred Heads Together (NHT) terhadap Motivasi Belajar Siswa PAI SMAN 1 Kinali Kabupaten Pasaman Barat

This research is motivated by the lack of student motivation to participate in PAI learning activities because teachers have not used interesting strategies when learning takes place. So one of the efforts that must be made so that students are motivated to take part in PAi learning is with the help of the Numberred Heads Together (NHT) learning strategy. The formulation of the problem in this research is how much influence the application of the Numberred Heads Together (NHT) type cooperative learning strategy in PAI subjects, the material of pursuing glory through life, has on student learning motivation. This research aims to determine the effect of the Numberred Heads Together (NHT) learning strategy on student learning motivation. The method used in this research is a quantitative type of quasi experiment. The population in this study was all class X at SMAN 1 Kinaii. The sampling in this study was random sampling, namely classes E1 and E2 as the research sample. The research results showed that the questionnaire was calculated using the SPSS test. With a sig result &lt; α, namely 0.000 &lt;0.005, it can be concluded that Ho is rejected and Ha is accepted. So it can be concluded that student learning motivation in PAI subjects is influenced by using the Numberred Heads Together (NHT) learning strategy which is used when learning takes place at SMAN 1 Kinali.
An Examination of Cybercrimes Leading to Vulnerabilities in Energy, Transportation, and Financial Systems

The commencement of the current decade is the primary milestone in the progression from Industry 4.0 to Society 5.0. The contemporary period necessitates the ability of individuals from all strata of society to effectively acclimate to the rapid advancements in technology. In the context of Society 5.0, which emphasizes the central role of human beings in generating novel value through technical advancements, there exists the potential to mitigate future disparities among individuals and address economic challenges. The potential risks that may emerge are diverse, intangible in tangible terms, and characterized by uncertainty. The aforementioned threat is a cyber threat that possesses the capacity to inflict significant losses upon a nation. One potential future development of significant consequence involves the occurrence of cyberattacks against essential national assets or critical infrastructure, including but not limited to renewable energy facilities, transportation networks, and financial institutions. Hence, it is imperative for all nations to possess the capability to effectively organize training programs, establish fresh military units, and enhance their individual national defense capabilities. In brief, the text elucidates the prevailing societal transition towards Society 5.0, which underscores the vital role of humans in technology progress. This highlights the potential advantages of this transition, such as the mitigation of inequalities and economic difficulties, while also stressing the importance of implementing strong cybersecurity protocols to prevent possible cyber risks in this dynamic technological environment.
Real-time eye blink detection using general cameras: a facial landmarks approach

Eyes are essential in Human-Computer Interaction (HCI) as they provide valuable insights into a person's thoughts and intentions. However, current eye movement analysis methods require specialized equipment or high-quality videos, making them less accessible and usable. This paper proposes a real-time eye blink detection algorithm that uses standard cameras, making it widely applicable and convenient. The approach achieves accurate and efficient eye blink detection by leveraging the Eye Aspect Ratio (EAR) algorithm and facial landmarks technique. This paper developed a Python application and conducted tests using a laptop webcam to validate the performance and practicality of the algorithm across various settings. The algorithm's effectiveness depends on carefully tuning parameters such as threshold and frame rate. The results demonstrate the algorithm's potential in real-time eye blink detection, with potential applications in drowsiness detection during driving, prevention of Computer Vision Syndrome, and assistance for individuals with disabilities. By enabling eye blink detection using commonly available cameras, the algorithm paves the way for integrating eye movement analysis into everyday devices and systems, enhancing user experience and enabling more natural interactions. Further refinement and optimization of this approach hold promise for a wide range of applications in HCI, healthcare, and beyond, opening up new possibilities for research and innovation.
LITERATURE LITERACY IN CHILD SPECIAL DEVELOPMENT INSTITUTIONS (LPKA) CLASS II MAROS, SOUTH SULAWESI

This study aims to apply literary literacy at the Class II Child Special Development Institute (LPKA) Maros, South Sulawesi. This research method is descriptive qualitative with a field study approach (field study) through a deductive model to understand the research problem. The source of the data in this study was Andikpas (Correctal Students), totaling 28 men. The results of this study indicate that Andikpas is able to convey empirical experiences in the coaching process they experience at LPKA through literary literacy. They all have the same hopes, namely they want to be free soon so they can be with their parents (family) and friends, they want to be free so they can continue their education, and they want to be free so they can work to help support their family. Of these three things, Andikpas hopes most dominantly, so that he wants to be free soon, is to gather with his parents.
Klinik Baca Metode Multisensori di Lembaga Kesejahtraan Sosial Anak Budi Mulia Bangunrejo Plosoklaten Kediri

The Reading Clinic is a forum for students who are still lacking in mastering basic skills, precisely skills in terms of reading and writing which are focused on low grades at LKSA Budi Mulia Plosoklaten The purpose of writing this article is to increase interest in reading in students with multisensory methods for difficulty learning to read and write. The learning method that learners need to help overcome reading difficulties is a method that can function the entire senses to recognize or learn something, namely the mutisensory method. In the study itself, the author chose to use the PAR (Participatory Action Research) method. As a result of this study, some children were able to adapt the material, create works and have a high interest in reading.
THE COMPLEXITIES OF ONLINE LEARNING AMONG THE STUDENTS OF STAIN MANDAILING NATAL DURING COVID-19 PANDEMIC

This research aims to identify the complexity of online learning of STAIN Mandailing Natal students in the pandemic covid-19 era. The type of research used is a survey method with random sampling data collection techniques of active students in the 2020-2001 school year. Data collection is used through google forms with descriptive statistical analysis techniques. The results of the study found the complexity of online learning of STAIN Mandailing Natal students summarized in several categories, namely, geographical conditions do not have good internet connectivity; lack of ability in the use of gadgets; learning methods are less interactive because they rely on learning through WhatsApp, and; The burden of presumption is too high
Carving Orphaned Uncompressed Image File Fragments

The issue of reconstructing erased records from a defined set of clusters arises frequently in digital/computer forensics. In this paper, we present a method to efficiently carve orphaned uncompressed image blocks in the absence of header block and without using file system metadata. In this paper, the challenges that arise in transforming an orphaned uncompressed block of bytes to an image fragment on computer screen are addressed. They are (1) finding the starting column of the first row of the image fragment and (2) finding the first byte’s color component (red or green or blue). In this paper, we have addressed these two challenges that require manual intervention. Our methods produce possible image fragments, and the forensic expert selects one among them. With this approach, these two challenges are addressed with 100% accuracy.
Performance analysis of hypervisor based on energy efficiency

Cloud computing has become one of the inevitable technology in the current situation. This technology made the possibility of creating more work areas using a single machine the concept of virtualization. Virtualization is a cloud-computing technology that only needs one CPU to work. Virtualization makes it look like many devices are working together. Virtualization focuses mainly on efficiency and performance-related tasks because it saves time. This paper will compare the performance of hypervisors based on energy consumed by the hypervisor and their performance based on the workload applied.
Creating automatic passwords and patterns based on image processing from back hand wrinkles

Passwords, Patterns and Finger prints are a ubiquitous part of the present age. They are the keys to unlock our online profiles, bank accounts, mobile phones, iPad, opening money Box (safe) which is hosted across a plethora of websites and other electronic devices. With each of our profiles necessitating a separate password, it is not uncommon for people to need up to 50 passwords. Recent events have now seen hundreds to millions of passwords leaked in online, more than one hundred million LinkedIn logins and tens of millions of Twitter logins were made available on the darknet. This paper aims at proposing a novel objective approach which utilizes wrinkles on the back four fingers of the human to create patterns or passwords automatically using randomization by extracting the four fingers back wrinkles using sensors then merging all four fingers’ wrinkles together and make the system to create pattern or password without known by the user or any human beings. Each and every time the same wrinkles group is detected it creates and changes new passwords. This cannot be known to anyone. This can be done through image enhancement and morphologic methods through wrinkle retrieval. We identify the pixels of the image of wrinkles and label them as letters for each and every pixel of a particular finger wrinkles and give decimal values from the ASCII table. We merge all four finger tables and start creating randomized patterns using Boolean Expression. The methodology is explained below.