Reviewerly/exHarmony huggingface dataset:
Keamanan Pesan Menggunakan Kriptografi dan Steganografi Least Significant Bit pada File Citra Digital

In the current era, data security disturbances often occur, such as data theft by unwanted people. To overcome security problems can be handled using cryptography and steganography methods. The cryptography process generates random writing that can obscure the message making it difficult for others to read. However, cryptography itself is still too weak to secure messages, so steganography is needed to disguise the existence of the message so that it is not visible to the human eye. Apart from hiding messages, another goal is to know the impact of message insertion. In this study, the encryption steps were followed by insertion and decryption followed by extraction. In the secret message encryption process using two algorithms, namely Vigenere Cipher and Playfair Cipher. In the process of inserting a secret message using Least Significant Bit (LSB) steganography. The results of the combination of cryptography and steganography are able to secure secret messages without causing significant changes even though the digital image used before and after the steganography process has increased in size, the Mean Square Error (MSE) value obtained is 0.000136 and the Peak Signal to Noise Ratio (PSNR) value is obtained. 86.8062 dB and the result of message encryption is enough to obscure the relationship pattern in the modified secret message with an avalanche effect value of 53.06%.
Perbandingan Metode k-Nearest Neighbor, Regresi Logistik Biner, dan Pohon Klasifikasi pada Analisis Kelayakan Pemberian Kredit

Kredit Tanpa Anggunan (KTA) are bank loans given to debtors without asking for guarantees. Some debtors who have made KTA but still need additional loan funds can top up. However, offering this facility to the public cannot be separated from the risk that the debtor and/or other parties fail to fulfill their obligations to the bank. In an effort to assess the feasibility of prospective debtors, banks need decision-making tools so that they can easily and quickly estimate which debtors are able to pay off credit on time (good credit). The tool that is often used is classification. In this study, we will compare 3 classification methods, namely k-nearest neighbor, binary logistic regression, and classification tree, to obtain the best method for analyzing the feasibility of giving KTA top-up. Based on the accuracy value in each method, the classification tree produces the highest accuracy value compared to the other two methods. Thus, for this study, the classification tree is the best method, with an accuracy value of 87.68%. The variables used in the classification tree are DBR, length of service of a debtor, credit limit, type of debtor's occupation, the total income of the debtor, the area where the debtor lives, and the credit period of the debtor is 1 month.
Pengembangan Aplikasi E-Learning Akuntansi Sektor Publik dengan Metode Prototyping

The development of computer-based learning models (e-learning) is so rapid. In Indonesia, various universities have implemented e-learning for their students. In addition, in- general, there are many e-learning applications that offer learning packages that can be used by learners. However, the learning packages offered to the general public are still limited (some are paid). With the enthusiasm to succeed the independent learning policy launched by the government, the researcher proposes an e-learning application that presents material on public sector accounting. This public sector accounting e-learning application can be used for free by anyone, anytime, anywhere with any teacher.Given that users of public sector accounting e-learning are all levels of Indonesian society whose needs are difficult to identify, there will be a big challenge in developing e-learning that suits user needs. Therefore, the development of public sector accounting e-learning is proposed using the prototyping method. The system development steps consist of planning, analysis, design and implementation stages. In the analysis stage, the researcher develops an initial prototype and analyzes user needs by submitting a survey to get the level of user wawsatisfaction as measured by the Customer Satisfaction Index method and explores user needs.This study shows that the curriculum-based prototype of e-learning Public Sector Accounting provides a level of user satisfaction (Customer Satisfaction Index) which can be categorized into excellent criteria, which is 90.52%. In addition, based on a survey on the initial prototype, many students want learning media in the form of slides, videos and practice questions.
SPK Penerima Bantuan Sosial Menggunakan Metode BWM-SAW dengan Metodologi Team Data Science Process (TDSP)

This study aims to be able to perform manual calculations using the BWM-SAW method in determining social assistance recipients. The economic crisis triggered by COVID-19 creates a need to improve the social assistance system that has been implemented so far. The socialization process, data verification and other problems often create problems in determining the recipients of social assistance. To solve this problem, DSS can be one of the solutions in determining the recipients of social assistance. This study uses 3 criteria with 10 sub-criteria with 5 alternatives. This study uses the TDSP model which is the development of the CRISP-DM model. This study succeeded in performing manual calculations well. The weighting of the criteria is very important to give a good preference value. The grouping of sub-criteria helps decision makers to more easily provide comparisons between criteria. Alternative-1 is the best candidate in receiving social assistance with a score of 0.9519
Analisis Kesalahan Siswa Kelas XI SMA Negeri 2 Indramayu dalam Menyelesaikan Soal Limit Fungsi Berdasarkan Self Regulated Learning

This study aims to identify errors and describe the factors that cause students to make mistakes in solving function-limit questions based on self-regulated learning. This descriptive qualitative research was conducted at SMA Negeri 2 Indramayu 2021/2022. Subjects were identified in this study using the purposive sample technique. Data collection techniques used self-regulated learning questionnaires, function limit tests, and interviews. They were taken based on the subject of the questionnaire results. Based on the questionnaire results, it was divided into three categories: high, medium, and low. The results of this study revealed various kinds of errors, namely: factual errors that students did not write down symbol boundaries; operation error, incorrect operation of numbers; conceptual error, students do not understand limit rules; principle error, students determining the form of a group. Factors that cause errors are that students need help understanding the concept and are inappropriate when answering questions.
A study on the attitude of post-graduate level students towards online open book examination system at COVID - 19 situation

The subject of research is to investigate a study on the attitude of post graduate level students towards online open book examination system at COVID-19 situation.The three purposes for which I have studied are-To know the attitude of post graduate level students towards Online Open Book Examination System at COVID -19 situation, To know the attitude of Boys and Girls students towards Online Open Book Examination System in COVID-19 situation, To know the attitude of rural and urban students towards online open book examination system in COVID-19 situation.Descriptive survey research method has been used for a study.The results I obtained through the self-constructed attitude scale are -There is no significant difference between the attitude of Boys and Girls students towards Online Open Book Examination System in COVID-19 situation.And There is significant difference between the attitude of rural and urban students towards online open book examination system in COVID-19 situation.58.8% of students are Disagree, 26.5% of students are Strongly Disagree and 14.7% of students are Agree with the opinion that Online open book examination system is an effective evaluation method.42.6% of students are agree, 30.9% of students are strongly agree and 22.1% of students are disagree with the opinion that the use of Online Open Book Examination System is not suitable for Practical exam.58% of students are agree, 27.9% of students are strongly agree and 11.8% of students are disagree with the opinion that Online Open Book Exam reduces the power of problem-solving among the students.55.9% of students are agree, 25% of students are strongly agree and 14% of students are disagree with the opinion that Online Open Book Examination is not acceptable for Post-graduate students.52.9% of students are agree and 41.2% of students are strongly agree with the opinion that in the case of Online Open Book Examination System, technological problems make students' anxiety level high.57.4% of students are agree, 33.8% of students are strongly agree and 8.8% of students are disagree with the opinion that the students are to face with different problems due to the lack of knowledge about Technology.
ONLINE TEACHING AND LEARNING DURING THE CORONAVIRUS PANDEMIC: ADVANTAGES AND DISADVANTAGES IN HIGHER EDUCATION

Everything is changing rapidly and the development of technology and information has changed significantly in the last few decades. Education, like other aspects of society, needs to change and adapt appropriately. Online teaching and learning is a new approach for the authors to use information technology via distance learning programs, especially the way relationships and interactions altered between students and teachers or instructors when the Coronavirus disease (COVID-19) pandemic occurred last year. Mahidol University responded to the situation rapidly and announced that academics can use online teaching of students free of charge. The authors of this paper have identified the advantages and disadvantages we have encountered while applying this method of instruction. The online program has made teaching possible but it has disadvantages which may decrease the quality of education. Nevertheless, it was used to replace traditional teaching methods by utilizing the web–based program, Webex Meetings, across the whole university. This new approach has changed and opened horizons earlier than the authors thought and far beyond our beliefs concerning traditional education methods for future generations.
Media literacy as a solution to the Edu-communicative challenges of the pandemic: Paradoxes, questions and alternatives

Abstract A revision is made of the central arguments that give substance and shape to media literacy as a conceptual proposal necessary to overcome the challenges related to the communication and educational crises produced by the pandemic. The article is organised into three sections. In the first one, a media literacy review is done as a set of interdisciplinary knowledge that each time they gain more strength and relevance for the communicative and field practice; in the second part, the proposal of transmedia literacies is developed as a theoretical–conceptual update that wonders about the diversity of media experiences and the current Edu-communicative practices; and in the third, critical questions are displayed about the implementation of a media literacy strategy based on a set of paradoxes, questions and alternatives that problematise the intersection between communication and education in the pandemic context of the contemporary society.
Creating an effective web solution for managing images and their versions

Abstract The aim of this paper is to describe the process of creating a web service and its client applications. One can combine them and create Flare application, an image repository which simplifies the image management process in developing web or mobile applications. Original image versioning is enabled so that users can have several different versions of the same image in their application. These versions are created by adding parameters to the original image URL. The newly created image version is saved on the server to optimize each subsequent request for the identical version. Client application provides a graphical interface for web service interaction via HTTPS protocol.
PENERAPAN METODE AWARENESS DALAM MENINGKATKAN MINAT BACA MASYARAKAT UNTUK MENDUKUNG LAYANAN PROGRAM TAMAN BACAAN MASYARAKAT (TBM)

The focus of this research problem is related to the reading interest of the community around Taman Baca Masyarakat Cahaya Karawang Regency. There are two factors that can affect reading interest, including internal factors and external factors. Internal factors include people who tend to be lazy to read, then busy activities, while external factors include the lack of adequate facilities or infrastructure, then the influence of the environment and the tendency of people to be more interested in multimedia. The purpose of the research includes to obtain an overview of the empirical condition of reading interest, knowing the steps of implementing awareness methods, as well as the advantages and disadvantages of applying awareness methods. Qualitative approaches with descriptive methods are applied in this study. Data collection techniques applied in research include interviews, observations, library studies, and documentation studies. The expected results, 1) Obtaining data on the empirical condition of people's reading interest, 2) Obtaining accurate data on the overview of measures to implement awareness methods to increase people's reading interest, 3) Obtaining data on the advantages and disadvantages of implementing awareness methods.
Exploring the current state and application of quantum computing

Abstract This paper is focused on the field of quantum computing which is an important area of research these days. The paper gives a brief history of this phenomenon and discusses how it has been developing since its conception. Furthermore, the paper describes the principles on which the quantity computer is built, such as qubits, entanglement, and superposition. It also discusses the necessity to build a quantum computer and how it could an improvement upon the existing computers. In addition, the paper covers some of the fields in which quantum computing could be particularly beneficial. Finally, some of the problems and challenges associated with the development of quantum computing are addressed.
Hierarchical Similarity Measure for Spectral Clustering

In this paper we propose a novel similarity measure for spectral clustering that incorporates a hierarchical component.The main advantage of this measure is that it produces an algorithm that does not depend on any scaling parameter, making it very easy to apply.Our experiments showed that our algorithm performs better than other spectral clustering methods on synthetic data sets with complex shape and multiple scales.
Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity

Networks of semiconductor lasers are the foundation of numerous applications and fundamental investigations in nonlinear dynamics, material processing, lighting, and information processing. However, making the usually narrowband semiconductor lasers within the network interact requires both high spectral homogeneity and a fitting coupling concept. Here, we report how we use diffractive optics in an external cavity to experimentally couple vertical-cavity surface-emitting lasers (VCSELs) in a 5×5 array. Out of the 25 lasers, we succeed to spectrally align 22, all of which we lock simultaneously to an external drive laser. Furthermore, we show the considerable coupling interactions between the lasers of the array. This way, we present the largest network of optically coupled semiconductor lasers reported so far and the first detailed characterization of such a diffractively coupled system. Due to the high homogeneity of the lasers, the strong interaction between them, and the scalability of the coupling approach, our VCSEL network is a promising platform for experimental investigations of complex systems, and it has direct applications as a photonic neural network.
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps

Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes. In this paper, we propose a non-invasive and light-invariant framework based on depth devices and deep neural networks to estimate the 3D pose of robots from an external camera. The method can be applied to any robot without requiring hardware access to the internal states. We introduce a novel representation of the predicted pose, namely Semi-Perspective Decoupled Heatmaps (SPDH), to accurately compute 3D joint locations in world coordinates adapting efficient deep networks designed for the 2D Human Pose Estimation. The proposed approach, which takes as input a depth representation based on XYZ coordinates, can be trained on synthetic depth data and applied to real-world settings without the need for domain adaptation techniques. To this end, we present the SimBa dataset, based on both synthetic and real depth images, and use it for the experimental evaluation. Results show that the proposed approach, made of a specific depth map representation and the SPDH, overcomes the current state of the art.
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning

Language model debiasing has emerged as an important field of study in the NLP community. Numerous debiasing techniques were proposed, but bias ablation remains an unaddressed issue. We demonstrate a novel framework for inspecting bias in pre-trained transformer-based language models via movement pruning. Given a model and a debiasing objective, our framework finds a subset of the model containing less bias than the original model. We implement our framework by pruning the model while fine-tuning it on the debiasing objective. Optimized are only the pruning scores - parameters coupled with the model's weights that act as gates. We experiment with pruning attention heads, an important building block of transformers: we prune square blocks, as well as establish a new way of pruning the entire heads. Lastly, we demonstrate the usage of our framework using gender bias, and based on our findings, we propose an improvement to an existing debiasing method. Additionally, we re-discover a bias-performance trade-off: the better the model performs, the more bias it contains.
On Adversarial Examples for Text Classification By Perturbing Latent Representations

Recently, with the advancement of deep learning, several applications in text classification have advanced significantly. However, this improvement comes with a cost because deep learning is vulnerable to adversarial examples. This weakness indicates that deep learning is not very robust. Fortunately, the input of a text classifier is discrete. Hence, it can prevent the classifier from state-of-the-art attacks. Nonetheless, previous works have generated black-box attacks that successfully manipulate the discrete values of the input to find adversarial examples. Therefore, instead of changing the discrete values, we transform the input into its embedding vector containing real values to perform the state-of-the-art white-box attacks. Then, we convert the perturbed embedding vector back into a text and name it an adversarial example. In summary, we create a framework that measures the robustness of a text classifier by using the gradients of the classifier.
PENERAPAN MEDIA BUKU PINTAR DALAM MENINGKATKAN HASIL BELAJAR PESERTA DIDIK PADA MATA PELAJARAN IPA TEMA 3 SUB TEMA 1 DI SD NEGERI 4 KLAMBU

The background of the problem in this research is the lack of variation in the learning process of fourth grade students. This is caused by the learning that is used less in the use of media in learning so that it is less than optimal. The purpose of this study is to find out how the application of Smart Book Media in Improving Student Learning Outcomes in Science Subjects Theme 3 Sub Theme 1 at SD Negeri 4 Klambu. The type of this research is quantitative research with experimental research method and using One-Group Pretest-Posttest design. Based on the results of the research which includes the formulation of the problem, hypothesis, data analysis, and discussion, it can be concluded that there is an increase in learning outcomes using Smart Book Media. In addition, it can also increase the activeness of students in the learning process, thereby increasing learning outcomes in understanding the material. The samples taken were 26 fourth grade students at SDN 4 Klambu using the Nonprobability Sampling technique. The data in this study were obtained through observation, tests and documentation. The results of the study after receiving treatment showed an increase in student learning outcomes seen from the results of the pretest and posttest. the average pretest value is 44.6154 and the posttest average value is 67.5385. Based on the initial normality test of 4.2 Lo = 0.092 and N = 26 with a significant level of 5%, the L table is 0.173. So Lo &lt; Ltable or (0.092 &lt; 0.173) then Ho is accepted. while the final normality test was 4.3 Lo = 0.143 and N = 26 with a significant level of 5%, obtained Ltable = 0.173. So Lo &lt; Ltable or (0.143 &lt; 0.173) then Ho is accepted
EDUCATION FOR THE PREVENTION OF POOR NUTRITION AT TUGU ELEMENTARY SCHOOL

The purpose of this study was to provide education regarding the prevention of malnutrition in early childhood at Tugu Elementary School, Cihideung Village, Parongpong, Indonesia. The method used is a qualitative descriptive study, which describes the situation in the field with social activities by providing educational insight on the theme entitled prevention of malnutrition at an early age. This research was conducted on 18 3rd grade students of Tugu Elementary School, Cihideung Village, Parongpong, Indonesia. With an age range of 8-9 years. Respondents consisted of 8 boys and 10 girls. This research was conducted through 3 stages, namely (1) pre-test; (2) providing education through learning media; and (3) post-test. The results obtained from this study there is a change in children's habits in consuming nutritious foods that contain carbohydrates or protein. And it can also be seen from the results of the pre-test and post-test that there is an increase in each statement given. With this research, it is hoped children can sort and choose nutritious foods or not and also with this research, it is expected to reduce the problem of malnutrition.