Reviewerly/exHarmony huggingface dataset:
Model Hibrid Harmonik, ARMA dan Outlier Curah Hujan di Surabaya, Malang dan Banyuwangi

The main factors affecting the climate in Indonesia are monsoons, El Nino Southern Oscillation (ENSO) and sunspot cycles. Another influence is local characteristics, namely the geography and topography of each region. The harmonic model is an applied statistical model of Fourier series analysis. Because the harmonic model is a deterministic model with residuals that often still have autocorrelation, it is necessary to add a stochastic Autoregressive Integrated Moving Average (ARIMA) model. With the existence of 3 main factors that influence the climate in Indonesia with different seasonal periods, plus local influences, the bulk modeling with Seasonal ARIMA, Double S ARIMA is not enough so that a combination of harmonics, ARMA and Additive Outliers (AO) appears. The purpose of this study is to find the periodicity of rainfall and model rainfall time series data with hybrid harmonics, ARMA outliers. Periodogram analysis of monthly rainfall data for three cities in East Java shows a 1-year seasonal return period influenced by monsoons, an 11-year return period influenced by sunspots that cannot be detected. The monthly rainfall model for the city of Surabaya is the 2nd order Harmonic Hybrid Model, ARMA([1,9,11],0,0) and the outlier type , for the city of Banyuwangi is the 1st order Harmonic Hybrid Model, ARMA (1,0,0) and 2 outliers of type , , Malang city are first order Harmonic Hybrid models, ARMA([6,7],0,0) and outliers of type . First order Harmonic Hybrid models, ARMA and Outlier are better than ARIMA and Outlier models.&#x0D; Key words: Monsoon, ENSO, sunspot, harmonics, ARMA and outliers.
Analisis Faktor-Faktor yang Menjelaskan Kasus AIDS Provinsi Jawa Timur Menggunakan Model Geographically Weighted Logistic Regression (GWLR)

AIDS is the most chronic phase of HIV infection which can weaken the immune system. In 2020, East Java Province is a province which has the most HIV infections and in the third place for the highest total number of AIDS cases in Indonesia. The purpose of this research is to build a model using Geographically Weighted Logistic Regression (GWLR), and to work out the grouping results of regencies/cities using K-means Clustering Analysis. The variables used in this research are Gini Ratio, L Index of Per Capita Expenditure, Gender Ratio, Dependency Ratio, Gender Development Index, and The Number of Pos Pelayanan KB Desa. The proportion levels of AIDS cases are categorized into 2 categories based on cut-point which has been specified, which 0 as the category of low level with the proportion of AIDS cases is less than 0.0006 and 1 as the category of high level with the proportion of AIDS cases is more than or equal to 0.0006. Parameter estimation for GWLR is using Maximum Likelihood Estimation (MLE) method with Fixed Gaussian as weighted kernel function and optimum bandwidth is determined using Akaike's Information Criterion Corrected (AICc). Z-Score of the most suitable model will be grouped using K-means Clustering Analysis, with Z-score is parameter estimator divided by standard error. Grouping results indicates cluster 1 members tend to be regencies/cities that have gender ratio and dependency ratio as significant variables, meanwhile cluster 2 members tend to be regencies/cities that have only dependency ratio as significant variable.&#x0D;
Needs and Profile of Game Temanggung Library (GATEL) for Madrasah Ibtidaiyah in Temanggung Regency: A Preliminary Study

This research-based community service aims to analyze the overview and media needs of Game Temanggung Library (GATEL) in Madrasah Ibtidaiyah in Temanggung Regency by applying a survey method with a cross-sectional survey type and in-depth interviews. The findings in this article refer to ten criteria. First, 100% of Madrasah Ibtidaiyah in the assisted subjects have no games for learning. Second, not having games is because there is no training, ignorance, and unfamiliarity with games. Third, there has never been training on making games in all Madrasah Ibtidaiyah in the assisted subjects. Fourth, the condition of Madrasah Ibtidaiyah students in the assisted subjects in playing games, data obtained 60% Madrasah Ibtidaiyah often, 40% Madrasah Ibtidaiyah ever, and 0% Madrasah Ibtidaiyah never. Fifth, the condition of the names of games/types played by students in the assisted subjects is very diverse, namely LoL games, Jigsaw Puzzles games, E-Sport, LEGO Nijago, and Once Upon a Tower. Sixth, the condition of the games played by students in the assisted subjects integrated into learning obtained data very often 0%, quite often 0%, and less often as much as 100%. Seventh, the causes of students playing games without being directed and not integrated into learning is obtained because the teacher cannot direct and there is no planning, no assistance, lack of concern, not accompanied by parents and teachers, and not noticed by the teacher. Eighth, the condition of teacher knowledge in the assisted subjects on educational games obtained data that 80% know and 20% do not. Ninth, the condition of Madrasah Ibtidaiyah teachers' knowledge on the assisted subjects of Homer, Prodigy Math, Buzzmath, Robot School, PBS Kids, The Time Tribe, and One Globe Kids games obtained data of 20% of teachers know, and 80% of teachers do not know. The last aspect is that all assisted subjects provided input on the need for training because there has rarely been training or training in making games.
Design of Automatic Archivery Software to Easy Work System in Social Services

In the era of globalization, computer technology has an important role in assisting the process of work activities in agencies and offices, both from government and private institutions. The use of computer equipment as a supporting device for data management and processing is very appropriate with the consideration of computer equipment in any information that is needed in management or office activities. The purpose of this program is to facilitate data management of incoming and outgoing letters at the social service office still using manual methods in data input, in the office world the existence of information technology is also very useful for agencies to facilitate performance in daily activities, especially in managing mail data. incoming and outgoing letters. using qualitative research methods with literature study stage, software design stage using a programming language with flutter framework. The results of the software design that has been successfully created can be carried out in the testing phase or the implementation of the program application to see whether the program created can run according to the desired goal or not. The concept of this program is to change the manual system in filing letters to an automated system. The impact of this program is that it is hoped that the archiving of incoming and outgoing mail will be more effective and more structured. At the end of this program, it is hoped that outgoing and incoming letters will not be mixed and when looking for the required letters or documents it does not take a long time with the existence of this incoming and outgoing mail archiving software, making archiving more effective and more structured. With this software, it is easier for social service employees to process incoming and outgoing mail documents
Smartwatch-Based Information System as a Compliance Detector in Traffic

The purpose of this study is to design a mobile-based application that serves to provide reminders to vehicle users to create orderly traffic and aims to build an obedient attitude to applicable traffic rules. To support this research, we used a qualitative method. While in the application development process using the Prototype approach. The results of this study indicate that the development of this system can increase compliance in traffic and reduce the number of accidents so that an orderly traffic can be created. The main concept of this system is as a reminder so that drivers are orderly traffic, for example, when a driver commits a violation by driving on the wrong road, he will get a reminder. This information system will later get a warning signal that will be sent to the smartwatch when the user violates traffic, the user will be aware of things that endanger his life or others.
PEMBELAJARAN KOSA KATA BAHASA ASING BERBASIS TPR (TOTAL PHYSICAL RESPONSE)

Learning foreign languages ​​in early childhood requires certain strategies so that learning languages ​​feels fun so that they can motivate students to learn foreign languages. The purpose of this activity is to help improve the competence of teachers who are members of the RA/BA KKG throughout the Sambi sub-district in developing teaching methods for teaching foreign language vocabulary to early childhood. One of the methods introduced to teachers is TPR (Total Physical Response) based learning which is a language teaching method based on commands, speech, and motion. This activity was attended by 30 TK/RA teachers from the Sambi sub-district. The stages carried out in this activity are as follows 1) presentation of TPR-based teaching method material via powerpoint, 2) Introduction of teaching instruments or media to be used, 3) Practical teaching using the TPR method, 4) question and answer discussion. The results of this activity are KKG teachers RA/BA in Sambi sub-district can practice teaching foreign languages ​​well using TPR-based methods
The Teaching of Word Recognition to Pupils with Reading Difficulties in Class Two to Overcome Their Problems

The purpose of this study is to build the automatic process of word recognition for pupils who are less proficient at word recognition and reading. This study initially looked at the problems less proficient readers face and what research has revealed. It then explores what teachers can do in their practice, such as reading aloud, unlocking pronunciation models, using reading materials in reading programmes or letter-sound association, and mastering spelling, to name but a few, to facilitate the process of word recognition. Tasks are then introduced, such as extensive reading, read and look-up procedures, the matching of specific words with identical words, and predict and infer meaning tasks that pupils can work on to develop their word recognition skills. These include the use of phonics, fluency, vocabulary building, extensive reading, the look-and-say method, and syntactic word order clues. The final part of the paper explores autonomous learner methods (learner strategies) that can be employed by pupils to improve their word recognition skills.
Factors Contributing to Positive and Negative Attitudes of Students towards the Learning of English Language in Junior High School

This study examines the possible factors that contribute to the positive and negative attitudes of students towards the learning of English Language in some selected junior high schools in the Asante Akyem North District of the Ashanti Region. This study offers a broad overview of the field of individual differences in the teaching and learning of English language. All learners are endowed with different mindsets that they employ while performing various activities in their daily lives. Many teachers and researchers believe that learning preferences or learning styles can be used advantageously to enhance English language study and motivate students.&#x0D; The objectives of this study were to investigate the attitude of students towards the study of English and the competence level of their English. The participants were interviewed and asked to complete questionnaires that would reveal their attitudes toward learning English.&#x0D; The findings revealed that the students are dominant towards the learning of English; their levels of attitude are influenced by many factors such as lack of adequate and well-qualified English teachers, lack of need-based facilities, and social inadequacies.&#x0D; The researchers provided recommendations for language teachers and other stakeholders to develop programmes that would encourage and motivate students in their learning of the English language.
Crucial Factors in the Implementation of Intervention Programmes for Learners with Dyslexia: An Examination

This study sought to examine crucial factors that affect the implementation of intervention programmes to enhance the inclusion of learners with dyslexia in mainstream primary schools of Bubi District. A descriptive research design was adopted. Questionnaires were used to collect quantitative data. All 50 mainstream primary schools were included in the study. Simple random sampling procedures were used to select respondents for the study. This sampling technique was used to select 150 teachers (3 from each school). In this case, 50 were Grade 1 teachers, the other 50 taught Grade 3 classes and the last 50 were schools' clinical language remedial teachers. Quantitative data were analysed through the use of the Statistical Package for Social Sciences (SPSS) version 24. The major findings of the study were that the attitudes of teachers are crucial in the teaching of learners with dyslexia and that the awareness and knowledge of teachers on dyslexia need to be improved to support inclusion. It is recommended that awareness programmes should be conducted to activate a paradigm shift skewed towards the realisation of profitable attitudes of teachers and constructive staff development services.
Facial Expression Recognition on the High Aggregation Subgraphs

With the development of deep learning technology, the performance of facial expression recognition (FER) has been significantly improved. The current main challenge comes from the confusion of facial expressions caused by the highly nonlinear changes of facial expressions. However, the existing FER methods based on Convolutional Neural Networks (CNN) often ignore the underlying relationship between expressions which is crucial to meliorate the performance of recognition for confusable expressions. And the methods based on Graph Convolutional Networks (GCN) can capture the relationship between vertices, but the aggregation degree of subgraphs generated by these methods is low. They are easy to include unconfident neighbors, which increases the learning difficulty of the network. To solve the above problems, this paper proposes a method to recognize facial expressions on the high aggregation subgraphs (HASs) by combing the advantages of CNN extracting features and GCN modeling complex graph patterns. Specifically, we formulate FER as a vertex prediction problem. Considering the importance of high-order neighbors and higher efficiency, we utilize vertex confidence to find high-order neighbors. Then we construct the HASs based on the top embedding features of these high-order neighbors. And we utilize the GCN to perform reasoning and infer the class of vertices for HASs without a large number of overlapping subgraphs. Our method captures the underlying relationship between expressions on the HASs and improves the accuracy and efficiency of FER. Experimental results on both the in-the-lab datasets and the in-the-wild datasets show that our method achieves higher recognition accuracy than several state-of-the-art methods. This highlights the benefit of the underlying relationship between expressions for FER.
Multimedia Design Of Gandrung Dance Using Android Application

In this era where technology is vastly developed, and even children can use or utilise smartphones, technology has become something general because of its ease. Therefore, technology can keep learning materials relevant to create suitable learning media for learners in this era. This study aimed to elaborate on the product's specifications and the learning media of Gandrung dance using the android application's developmental process. The research and Development method was used, and ADDIE-model was featured to assess the product's effectiveness. The data was collected using observation and interviews. The result of the study shows that the product development of Gandrung dance into a smartphone application consisting of Gandrung dance's graded material study from the synopsis, dance movements, makeup and wardrobe to quizzes. The three developmental processes that have been done up until this point are analysis, design, and development. The research problems were decided during the analysis stage, and the design and development stage was developed, developing the material or the product's display and bringing the idea into the product.
ANALISIS FAKTOR-FAKTOR PENGHAMBAT PENYELESAIAN SKRIPSI MAHASISWA UIN RADEN MAS SAID SURAKARTA

Writing a thesis is one of the problems in completing student studies. Based on the results of observations, there are still many students of UIN Raden Mas Said who have not completed their thesis on time. This research is a descriptive qualitative research that aims to describe the inhibiting factors in the completion of the thesis. The subjects in this study were students of UIN Raden Mas Said who had not graduated with a study period of more than four years. The results showed that there were 9 factors that hindered the completion of the script. Of the 9 factors, researchers grouped into 2 factors, namely internal factors and external factors. Internal factors in the form of physical and mental health and academic ability. While external factors in the form of lecturer guidance and references, the environment of friends and family and other activities. Keywords: internal factor; external factor; finishing the thesis undergraduate
Blockchain Mining: Optimal Resource Allocation

Having enabled numerous applications, blockchains have attracted not only much attention, in the past decade, but also huge amount of resources: talent, capital, energy, etc. Focusing on the mining side of the market, in this paper, we aim at understanding how to efficiently use the resources mining and staking pools attract. We start with developing predictions about factors that increase the efficient allocation of pools' resources. We then test our predictions based on a general model for optimal resource allocation that we develop, as well as data we collected on pools' actual resource allocations. We find that pools can increase resource efficiency by mining for more blockchains as well as by increasing the frequency of resource re-allocation. Further, we enroll to mining pools as a miner to understand and comment on how pools can encourage their miners to increase the efficiency of their allocation. While our empirical investigation mostly focuses on the BTC family, we show that our theory and results are general and applicable to the Ethereum family as well as other proof-of-work (PoW) and proof-of-stake (PoS) chains.
PKM KELOMPOK GURU SMK KARYA GUNA DI KEC. TEBET JAKARTA SELATAN DALAM MEMBUAT WEBLOG MENGGUNAKAN BLOGSPOT SEBAGAI MEDIA PEMBELAJARAN ONLINE DI MASA PANDEMI COVID-19

Abstract: The social restriction policy has an impact on various fields including the field of formal education. Learning which is usually done face-to-face between teachers and students in government classrooms applies learning methods with an online system or in a network (online). Online learning or online learning is learning without face to face directly but is done online through the internet network. The same thing happened in Guna's SMK, Jalan Manggarai Utara No. 01 Ex. Manggarai district. Tebet, South Jakarta. In teaching and learning activities are carried out online or online. Online learning requires several media applications that are effective, easily accessible, and understood by teachers and students. These applications include: whatsapp, telegram, instagram, zoom application, googlemeet or other media as learning media.&#x0D; As an alternative media for learning media, our community service team proposes blog media as an online learning medium. The team offers weblog creation training activities using blogspot as an online learning medium
Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck

As graphs are getting larger and larger, federated graph learning (FGL) is increasingly adopted, which can train graph neural networks (GNNs) on distributed graph data. However, the privacy of graph data in FGL systems is an inevitable concern due to multi-party participation. Recent studies indicated that the gradient leakage of trained GNN can be used to infer private graph data information utilizing model inversion attacks (MIA). Moreover, the central server can legitimately access the local GNN gradients, which makes MIA difficult to counter if the attacker is at the central server. In this paper, we first identify a realistic crowdsourcing-based FGL scenario where MIA from the central server towards clients’ subgraph structures is a nonnegligible threat. Then, we propose a defense scheme, Subgraph-Out-of-Subgraph (SOS), to mitigate such MIA and meanwhile, maintain the prediction accuracy. We leverage the information bottleneck (IB) principle to extract task-relevant subgraphs out of the clients’ original subgraphs. The extracted IB-subgraphs are used for local GNN training and the local model updates will have less information about the original subgraphs, which renders the MIA harder to infer the original subgraph structure. Particularly, we devise a novel neural network-powered approach to overcome the intractability of graph data’s mutual information estimation in IB optimization. Additionally, we design a subgraph generation algorithm for finally yielding reasonable IB-subgraphs from the optimization results. Extensive experiments demonstrate the efficacy of the proposed scheme, the FGL system trained on IB-subgraphs is more robust against MIA attacks with minuscule accuracy loss.
EnhancedTree+: A Novel Approach for Improving Decision Tree Classifiers

https://www.ijraset.com/best-journal/enhanced-tree-a-novel-approach-for-improving-decision-tree-classifiers
Stability Problems on D-finite Functions

This paper continues the studies of symbolic integration by focusing on the stability problems on D-finite functions. We introduce the notion of stability index in order to investigate the order growth of the differential operators satisfied by iterated integrals of D-finite functions and determine bounds and exact formula for stability indices of several special classes of differential operators. With the basic properties of stability index, we completely solve the stability problem on general hyperexponential functions.
YENI BIR ÜRETIM TARZI OLARAK SIBER KAPITALIZMIN BIR DEĞERLENDIRMESI

This study investigates the theme that Cyber capitalism has an accelerating effect on the genetic relationship between capitalism and crisis and its possible impacts on developing economies at the intersection of innovative technology, digital culture, and neoliberal paradigms. Due to cutting-edge digital transformations, IoT electronic devices, the internet, mobile phones, etc., can always be kept in an accessible, visual, and controllable medium altogether to consumers, employees, and people. On the other hand, cyber-capitalism substitutes the market's priorities for society's priorities, trust, accuracy, stability, etc., that keep the community together and hold religious and moral values. As a result, being open to continuous change, inability to adapt to new situations, insecurity, and anxiety negatively affect established moral values and principles. It is argued that cyber-capitalism, with its premises of industry 4.0 on the one hand, replaces new production relation networks in flexible production environments with technological possibilities of artificial intelligence (AI) and mixed virtual reality (VR).