Reviewerly/exHarmony huggingface dataset:
SMARTBOX PENERIMA PAKET BELANJA ONLINE

&#x0D; &#x0D; &#x0D; &#x0D; At the time of the development of industry 4.0, freight forwarding services urgently needed increased online buying and selling services supported by e-commerce. Problems with delivery services are usually caused by the sender himself. For example, such as damage and loss of goods sent, high shipping costs and erratic delivery times. To overcome the above problems, the researcher created a design in the form of a package receiving box using a linear sequential method such as analysis, design, coding and testing where this box can later be used when the box owner is not at the box's house. The box that is made has a camera that is used to monitor the whereabouts of the person in front of the box, if someone is in front of the box, the box will send a notification to the telegram so that later the owner can control the box to open so that packages can be put into the box. The final result of this research is a package receiving box that can be controlled and provides notification via telegram, where this tool uses a camera as a person detector and ultrasonic to detect items in the box, which will later provide notifications to the telegram bot so that the package owner knows if there is a courier or not in front of the package receiving box, and also telegram can control the servo to unlock the package receiving box itself. &#x0D; &#x0D; &#x0D; &#x0D;
From implementation to application: FAIR digital objects for training data composition

Composing training data for Machine Learning applications can be laborious and time-consuming when done manually. The use of FAIR Digital Objects, in which the data is machine-interpretable and -actionable, makes it possible to automate and simplify this task. As an application case, we represented labeled Scanning Electron Microscopy images from different sources as FAIR Digital Objects to compose a training data set. In addition to some existing services included in our implementation (the Typed-PID Maker, the Handle Registry, and the ePIC Data Type Registry), we developed a Python client to automate the relabeling task. Our work provides a Proof-of-Concept validation for the usefulness of FAIR Digital Objects on a specific task, facilitating further developments and future extensions to other machine learning applications.
Sistem Informasi Repository Berbasis Web Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Palembang Dengan Menggunakan Framework Codeigniter

The Repository Information System Is Implemented In Order To Create The Needs Needed By The Faculty Of Teacher Training And Education. Therefore, the Repository Information System must be implemented by the Faculty of Teacher Training and Education to support accreditation to become a high-impacted faculty.The purpose of this research is to help one of the governance systems in the teaching and education faculties, especially in the field of scientific writing or libraries, the author creates a WEB-based Repository Information System for the Teaching and Education Faculty, University of Muhammadiyah Palembang using the Codeigniter Framework (PHP).The Data Collection Method Is Observation, Literature Study To Determine What Is Needed In Making The Repository Information System.&#x0D; &#x0D; Keywords: Repository, Scientific Writing, Library, Faculty of Teacher Training and Education, University of Muhammadiyah Palembang&#x0D;
The application of formative evaluation in middle school English teaching

ormative evaluation has always been one of the hot topics of scholars' research. This paper mainly provides a brief overview of formative evaluation, principles of formative evaluation, different feedback strategies in formative evaluation, and interaction between students and teachers in formative evaluation.
Influence of pump brightness, self-Kerr and cross-Kerr effects on the entanglement of partially degenerate triple-photon state

Abstract Recently, partially degenerate triple-photon states (TPS) generated by the third-order spontaneous parametric down-conversion have been observed in a superconducting cavity (2020, Phys. Rev. X 10 , 011011). Their non-Gaussian entanglement properties, characterized by a series of high-order covariance matrices, have also been theoretically revealed. Here, we use the non-Gaussian entanglement criterion proposed in (2021, Phy. Rev. Lett. 127 , 150502) and the logarithmic negativity to study the effect of pump brightness, self-Kerr and cross-Kerr interactions on the entanglement of partially degenerate TPS (PDTPS). We find that the brighter the pump, the easier the entanglement of PDTPS leap to higher-order covariance matrices. Although both self-Kerr and cross-Kerr interactions induce nonlinear phase shifts and weaken the entanglement of PDTPS, cross-Kerr interactions can effectively raise the threshold of entanglement loaded on the third-order covariance matrix. These results can contribute to our understanding of the mechanism of the generation of unconditional non-Gaussian entanglement.
Teaching Design of Senior High School English Writing Based on Pragmatics Theory

This paper first overviews the pragmatic theory and mainly introduces Grice’s Conversational Cooperative Principle and Leech’s Politeness Principle. Then, the application situations of the Cooperative Principle and Politeness Principle in English teaching at home and abroad are reviewed. Finally, through analyzing the relevance of the Cooperative Principle, Politeness Principle and English writing teaching in senior high school, taking Unit 1 “Teenage Life”, the first volume of compulsory English for senior high school in the People’s Education Press (2019 edition), as an example, this paper presents a reading and writing teaching design that integrates pragmatics theory with English writing teaching in senior high school.
RANCANG BANGUN APLIKASI INFORMASI TATA LETAK PERPUSTAKAAN BERBASIS VIRTUAL REALITY

Technological developments are developing very quickly, so in this digital era, the use of technology as an effort to improve the delivery of information and promotional media at Perjuangan University uses Virtual Reality technology. Because not all students know or even have never visited the library. This study aims to produce a library layout information application based on Virtual Reality. An Android-based application that can provide information about the layout and usability of the library in a virtual form as if it were in a location using the VR Box tool as the media. The tests were carried out using ISO 25010 quality standards, namely the parameters of functional suitability, portability, and usability using a Likert scale measurement. The results of this study obtained a score of 84% in the "Good" category based on user satisfaction when using the application.
PERBANDINGAN PERFORMA ALGORITMA K-MEANS, K-MEDOIDS, DAN DBSCAN DALAM PENGGEROMBOLAN PROVINSI DI INDONESIA BERDASARKAN INDIKATOR KESEJAHTERAAN MASYARAKAT

One of the development orientations in Indonesia is to improve the welfare of society. Therefore, it is important to identify and understand the characteristics of community welfare in each province in order to determine effective and targeted development strategies. Cluster analysis is one of the analyses that can be used to group provinces in Indonesia that have homogeneous characteristics within a cluster. The partition method is the simplest and fundamental approach to cluster analysis, but it can only find clusters with spherical-shaped forms. On the other hand, DBSCAN is a density-based clustering algorithm that can be used to find clusters with arbitrary shapes. In this study, the performance of the K-Means, K-Medoids, and DBSCAN algorithms was compared using data that had been dimensionally reduced using the t-SNE method. The data used was the indicator data of community welfare in the year 2022. The evaluation results of clustering based on the highest Silhouette coefficient (0.917) and the lowest Davies-Bouldin index (0.089) indicate that the best clustering methods are K-Means and DBSCAN with parameters perplexity = 1, minPts = 2, and epsilon = 9. Both methods produce the same result, which is the formation of eight clusters.
Feature fine-tuning and attribute representation transformation for zero-shot learning

Zero-Shot Learning (ZSL) aims to generalize a pretrained classification model to unseen classes with the help of auxiliary semantic information. Recent generative methods are based on the paradigm of synthesizing unseen visual data from class attributes. A mapping is learnt from semantic attributes to visual features extracted by a pre-trained backbone such as ResNet101 by training a generative adversarial network. Considering the domain-shift problem between pre-trained backbone and task ZSL dataset as well as the information asymmetry problem between images and attributes, this manuscript suggests that the visual-semantic balance should be learnt separately from the ZSL models. In particular, we propose a plug-and-play Attribute Representation Transformation (ART) framework to pre-process visual features with a contrastive regression module and an attribute place-holder module. Our contrastive regression loss is a tailored design for visual-attribute transformation, which gains favorable properties from both classification and regression losses. As for the attribute place-holder module, an end-to-end mapping loss function is introduced to build the relationship between transformed features and semantic attributes. Experiments conducted on five popular benchmarks manifest that the proposed ART framework can significantly benefit existing generative models in both ZSL and generalized ZSL settings.
AN ANALYTICAL STUDY ON DIGITAL TRANSFORMATION: ITS POSITIVE AND NEGATIVE IMPACT ON EDUCATION SECTOR

There are many studies and surveys done on digital transformation in different areas like E-Banking, E-Commerce, hospitality, information technology, etc. In the present time, there is a strong need for digitalization in the proper manner with highly digitalized tools and security. The term digitalization means the conversion of physical or paper mode to digital mode. Digitalization plays an important role in the education sector at present, or after the covid-19 pandemic, it shows the replacement of the old education system and policies in schools and colleges. Digitalization brings lots of changes in both positive and negative aspects of students life. E-learning tools make the tutor lecture easier with attractive colorful animation forms, and on the other hand, it also affects students mental and physical health. In this study, we discuss the pillars of digitalization, E-learning platforms, opportunities, challenges, and the future aspect of digitalization in the education sector at the college level.
Strategi Manajemen Koleksi Dinas Perpustakaan dan Arsip Kabupaten Deli Serdang

This study discusses the collection management strategy of the Deli Serdang Regency Library and Archives Service. The purpose of the study was to determine the strategy for procurement of collections and the obstacles faced in procuring collections at the Department of Library and Archives of Deli Serdang Regency. This type of research is a qualitative research with a descriptive approach. The technique used in data collection is by conducting observations, interviews, and documentation. While the data analysis technique is done by doing data reduction, data presentation, and drawing conclusions. The results of this study indicate that the implementation of the procurement of collections at the Library and Archives Service of Deli Serdang Regency begins with planning by conducting a survey to visitors and providing a complaint box so that the collections owned are relevant to the needs of users. Organizing in the procurement of collections is done based on the job description. Implementation of collection procurement is done through purchases with publishers and through donations not on request. Supervision in the procurement of collections is carried out by the Head of Service who is assisted by the Head of Division and supervision of the collections owned is carried out by officers in the field of procurement of library materials. Evaluation is done by matching the evaluation is done by matching library materials with statistical data that has been recorded. Constraints faced in procuring collections are budget deficits.
Assessment of oculomotor function after prolonged computer use

To analyze the specific effects of prolonged computer use on oculomotor function, we propose an oculomotor function evaluation system to analyze changes in oculomotor movement function by using an eye tracker to record eye movement data when performing gaze, smooth pursuit, and saccade under normal condition, after one hour and one and a half hours of continuous working at a computer. The captured eye movement data is pre-processed, and then data features are calculated and analyzed to understand the specific effects of continuously using the computer on the oculomotor function. The results show that the oculomotor function decreases as we gaze at the computer screen for longer periods, as evidenced by a decrease in the stability of the gaze function, a reduction in the gaze focus, a reduction in the speed of eye saccades, and a decrease in the smooth pursuit function. In short, the oculomotor function worsens after prolonged working at a computer. This paper presents the effects of continuously using the computer quantificationally for the first time. The proposed oculomotor function evaluation system could also be used to assess patients who have a disability in oculomotor function and specific individuals, e.g. pilots.
Analisis Sistem Informasi Inventory Menggunakan Metode Single Moving Averange Pada PT. Inkolanggeng Makmur Jakarta

Abstracts - With the advancement of information technology, the need for fast, accurate, and precise information access has become increasingly crucial. Therefore, companies must have efficient computerized systems to support their business processes. The issue at PT. INKOLANGGENG MAKMUR in the warehouse department is that the recording of incoming and outgoing goods is still done manually, which is time-consuming and prone to errors. By using an inventory system, users have the ability to organize and control the necessary information. For example, they can view, add, store, modify, and delete data. Additionally, this system can also predict the quantity of goods needed to be purchased for the next period and control the activities of expenditure and receipt of goods. The author utilizes the single moving average method to facilitate forecasting regarding stock inventory.&#x0D;
The Ideal Over Semiring of the Non-Negative Integer

Assumed that (S,+,.) is a semiring. Semiring is a algebra structure as a generalization of a ring. A set I⊆S is called an ideal over semiring S if for any α,β∈I, we have α-β∈I and sα=αs∈I for every s in semiring S. Based on this definition, there is a special condition namely prime ideal P, when for any αβ∈P, then we could prove that α or β are elements of ideal P. Furthermore, an ideal I of S is irreducible if Ia is an intersection ideal from any ideal A and B on S, then I=A or I=B. We also know the strongly notion of the irreducible concept. The ideal I of S is a strongly irreducible ideal when I is a subset of the intersection of A and B (ideal of S), then I is a subset of A, or I is a subset of B. In this paper, we discussed the characteristics of the semiring of the non-negative integer set. We showed that pZ^+ is an ideal of semiring of the non-negative integer Z^+ over addition and multiplication. We find a characteristic that 〖pZ〗^+ is a prime ideal and also a strongly irreducible ideal of the semiring Z^+ with p is a prime number.
Biclustering Performance Evaluation of Cheng and Church Algorithm and Iterative Signature Algorithm

Biclustering has been widely applied in recent years. Various algorithms have been developed to perform biclustering applied to various cases. However, only a few studies have evaluated the performance of bicluster algorithms. Therefore, this study evaluates the performance of biclustering algorithms, namely the Cheng and Church algorithm (CC algorithm) and the Iterative Signature Algorithm (ISA). Evaluation of the performance of the biclustering algorithm is carried out in the form of a comparative study of biclustering results in terms of membership, characteristics, distribution of biclustering results, and performance evaluation. The performance evaluation uses two evaluation functions: the intra-bicluster and the inter-bicluster. The results show that, from an intra-bicluster evaluation perspective, the optimal bicluster group of the CC algorithm produces bicluster quality which tends to be better than the ISA. The biclustering results between the two algorithms in inter-bicluster evaluation produce a deficient level of similarity (20-31 percent). This is indicated by the differences in the results of regional membership and the characteristics of the identifying variables. The biclustering results of the CC algorithm tend to be homogeneous and have local characteristics. Meanwhile, the results of biclustering ISA tend to be heterogeneous and have global characteristics. In addition, the results of biclustering ISA are also robust.
Implementasi Metode Backpropagation Neural Network Dalam Memprediksi Hasil Produksi Kedelai

The necessary of soybean in Indonesia tends to increase annually. However, soybean production tends to decrease so that soybean needs does not fullfilled. One of the environmental factors that influence soybean production is climate such as temperature, humidity, sunlight, rainfall, and wind velocity. This study aims to predict soybean production results based on the influence of climate by using an Artificial Neural Network (ANN) method. The algorithm used is Backpropagation with climate and soybean production results in the previous period parameters as input in the prediction process. The results of this study get a training accuracy of 96.6% and testing accuracy of 96.5%.
The Implementation of Control Charts as a Verification Tool in a Time Series Model for COVID-19 Vaccine Participants in Pontianak

Vaccines are the primary weapon used to stop the outbreak, especially amid the COVID-19 pandemic. Thus, supplying vaccines to control the COVID-19 pandemic is essential, especially in minimizing the incidence and achieving herd immunity to break the chain of COVID-19. West Kalimantan has taken firm anticipatory steps to prevent COVID-19 in the form of a vaccination program in Indonesia. The highest vaccination achievement occurs in Pontianak City, the province’s capital. The research analyzed data on vaccine participants in Pontianak using time series analysis. In addition, the residuals from the time series model were used as observations in constructing the control chart. The research also analyzes the accuracy of the time series model using the Individual Moving Range (IMR) control chart. The results show that the ARIMA model (5,0,2) is the best because it fulfills the assumption of white noise. However, the ARIMA (5,0,2) model is inaccurate in making predictions because the residuals from the ARIMA (5,0,2) model are out of control (based on the IMR control chart). Hence, it is necessary to evaluate in determining the time series model. It can be analyzed using a control chart. Therefore, measuring the model’s accuracy on the best model is essential in predicting several subsequent periods.
Social Networking Usage, Psychological Distress and Happiness among Young Adults during COVID 19 Pandemic

Background:The coronavirus disease (COVID-19) outbreak has wreaked havoc throughout the world, impacting millions of people physically and mentally.Interpersonal connections are confined to social networks during the pandemic.However, there has been a dearth of research focusing on social networking usage during COVID-19 in particular.As a result, it is currently unclear whether and how utilizing social networks during epidemic is linked to mental health.The present paper examines the relationship between social networking usage among youngsters and its impact, like the psychological distress and happiness during the COVID-19 epidemic.Furthermore, because young adults are frequent users of social media, it is important to study the effects of social networking usage in this age group.Methodology: An online survey of a sample of 316 young adults was carried out using Social Networking Sites Usage and Needs Scale, Depression Anxiety Stress Scale (DASS -21) and Oxford Happiness Scale. Results:The results show that females were happier than males.Further, the number of social networks used was negatively correlated with happiness.Personal integrative needs were found to be a positive predictor of psychological distress.The implications of the findings are elaborately discussed.
Freestyle Layout-to-Image Synthesis

Typical layout-to-image synthesis (LIS) models generate images for a closed set of semantic classes, e.g., 182 common objects in COCO-Stuff. In this work, we explore the freestyle capability of the model, i.e., how far can it generate unseen semantics (e.g., classes, attributes, and styles) onto a given layout, and call the task Freestyle LIS (FLIS). Thanks to the development of large-scale pre-trained language-image models, a number of discriminative models (e.g., image classification and object detection) trained on limited base classes are empowered with the ability of unseen class prediction. Inspired by this, we opt to leverage large-scale pre-trained text-to-image diffusion models to achieve the generation of unseen semantics. The key challenge of FLIS is how to enable the diffusion model to synthesize images from a specific layout which very likely violates its pre-learned knowledge, e.g., the model never sees “a unicorn sitting on a bench” during its pre-training. To this end, we introduce a new module called Rectified Cross-Attention (RCA) that can be conveniently plugged in the diffusion model to integrate semantic masks. This “plug-in” is applied in each cross-attention layer of the model to rectify the attention maps between image and text tokens. The key idea of RCA is to enforce each text token to act on the pixels in a specified region, allowing us to freely put a wide variety of semantics from pre-trained knowledge (which is general) onto the given layout (which is specific). Extensive experiments show that the proposed diffusion network produces realistic and freestyle layout-to-image generation results with diverse text inputs, which has a high potential to spawn a bunch of interesting applications. Code is available at https://github.com/essunny310/FreestyleNet.