Reviewerly/exHarmony huggingface dataset:
Prediction of Rainfall and Water Discharge in The Jagir River Surabaya with Long-Short-Term Memory (LSTM)

AbstractFloods can occur at any time if the amount of river water discharge and rainfall intensity tends to be high, so preparations and ways of handling are needed to anticipate flooding quickly, precisely, and accurately for the Surabaya City Public Works Service. One of the steps to predict and analyze the status of the flood disaster alert level is to calculate predictions based on rainfall and the amount of river water discharge. This study uses the Long-Short Term Memory (LSTM) algorithm to predict using a time series dataset of rainfall and river water discharge in the Jagir River, Surabaya. This data is used to make predictions with the proportion of 70% training data and 30% testing data. Data normalization is performed in intervals of 0 and 1 using a min-max scaler and activated using ReLU (Rectified Linear Unit) and Adam Optimizer. The process continues by repeating the process to enter iterations, or epochs until it reaches the specified epoch (n). The data is then normalized to their original values and visualized. The model was evaluated and produced acceptable performance evaluation results for the rainfall variable, namely at epoch (n) = 75 for training data, namely a score of 0.054 for MAE and 0.099 for RMSE. In contrast, data testing was given a score of 0.041 for MAE and 0.091 for RMSE. As for the water discharge variable, the performance evaluation shows the difference between the training and testing data. Results of training data MAE = 11.10 and RMSE=18RMSE =18.61.61 at epoch (n) = 150. Results of data testing MAE = 11.37 and RMSE = 21.08 at epoch (n) = 100. These results indicate an anomaly that needs to be discussed in further research.
UI/UX Designing of an Indonesian Language Writing Educational Game for Elementary School Students Using a Human-Centred Design Method

Based on previous research conducted on elementary school students, it was found that there are still many errors in the use of EYD or KBBI rules, such as errors in the use of capital letters and the use of words. The lack of learning media outside of school triggers students' lack of understanding. Using technology-based learning media in games is exciting and can help improve students' understanding outside school. Using educational games as out-of-school learning media has several advantages, namely ease of access and higher student interest in playing. In developing games, an attractive appearance is needed and is the need of elementary school students. This is adequate and can increase students' interest in using the game as an out-of-school learning media. Therefore, an appropriate design method is needed to design the appearance to be attractive and by the needs of students, one of which is Human-Centered Design (HCD). This method involves users directly during the design process. By applying the HCD method, this research aims to design the interface of the "CerdasEYD" educational game that suits the needs and answers the problems that students have. Testing is carried out using the System Usability Scale to measure the success of the interface that has been designed. Through this test, the results obtained in the form of an average score of 95 indicate that the design has met the needs and answered the problems that students' problems.
Kejahatan Dunia Maya Terkait Hoaks Saat Pandemi Covid 19

Crimes that often occur in cyberspace are crimes that are relatively new, cybercrime is growing rapidly along with the development of internet technology that is happening today. The spread of hoaxes during the Covid 19 pandemic has become a big problem because many people believe hoaxes, causing the handling of Covid 19 to be very slow and causing many victims. The Covid 19 pandemic has forced all people in the world, including Indonesia, to be comfortable living side by side with Covid 19. This research uses a normative legal research method using a statutory approach. The main source of this research is regulations. The results of this study indicate several crimes that can be used as protection by consumers who experience losses due to fake news amid the Covid 19 pandemic, namely Article 14 paragraph (1), paragraph (2), Article 15 Article 14 paragraph (1) and Article 45A paragraph (1). ) and (2), and article 28 of Law Number 11 of 2008 concerning Information and Electronic Transactions.
FAIR Island Experiments with Connecting Project Resources in DataCite

Erin Robinson and Ted Habermann, Metadata Game Changers Unique and permanent identifiers (PIDs) for many types of research objects are a growing part of the global research landscape and play a major role enabling connections between many kinds of research objects. Repositories of PID metadata are maintained by several members of the global research infrastructure.
Decision Support System for Selection of The Best Fuel for Households Using the Weighted Product (WP) Method

Fuel is one of the most critical needs for the community in carrying out various household activities dominated by fuel oil. Meanwhile, the availability of fuel is increasingly running low. Most people in the Botumoito area in Gorontalo province work in the agricultural sector with low local income. Availability of fuels such as kerosene and gas there is quite challenging because there is no source or supply of gas either directly from the gas field or terminal. The government needs to make the right policy on fuel selection according to the problems in the region. This research aims to design and build a decision support system for selecting the best fuel and implementing the Weighted Product (WP) method into the system. The method used in designing and manufacturing this system is the waterfall method. This research results in a decision support system that can help fuel ranking. The ranking results are based on the magnitude of the Vector (V) value obtained from testing ten alternative fuels. Bioethanol occupies the top priority with a vector value of 0.152. This research can help consultants, fuel experts, and local governments speed up their work in determining the best household fuel according to their respective regions.
Responding to the Nelson Memo: Repository Re-Curation for Open Science

Introduction During August 2022 the White House Office of Science and Technology Policy (OSTP) released a memo (generally known as the Nelson Memo) describing guidelines for “ensuring free, immediate, and equitable access to federally funded research”. The memo included guidelines for metadata which stated that federal agencies should:“Collect and make publicly available appropriate metadata associated with scholarly publications and data
PANDANGAN MAHASISWA DALAM PENGGUNAAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATA KULIAH DOKUMENTASI KEBIDANANMENGGUNAKAN CLASSPOINT

Interactive Learning is a learning method or technique that can be applied with a two-way communication system which is characterized by the interaction between lecturers and students, students and students and with learning resources in supporting the achievement of learning objectives. Classpoint is an interactive learning application tool from the company inknoe which can be integrated with the Microsoft Office PowerPoint presentation application and provides a number of features to create interesting learning materials so as to increase student engagement with the subject matter. This study aims to determine student perceptions of the use of Classpoint interactive learning media in lecture activities. The approach method used in this research is a descriptive quantitative approach using a questionnaire. A total of 34 semester 3 students in the undergraduate midwifery study program, the faculty of health sciences at 'Aisyiyah University, Surakarta who took the Religious Education course were given a questionnaire containing 16 statement items representing aspects of motivation, usability, and cognitive and psychomotor aspects. The collected student data is presented using the percentage of perception questionnaire score criteria. The results showed that students gave a positive response to the Classpoint interactive learning media with the criteria of strongly agreeing or a response percentage range of 86.40% to 94.67%. The positive response given to Classpoint media is due to several interesting features that support Classpoint's function as an interactive learning medium. The implication of this research is that Classpoint interactive media can be used as a reference for learning media in class, specifically in increasing student motivation and activeness in learning.
DATA SCIENCE: PENDEKATAN DAN LANGKAH PRAKTIS DENGAN EXCEL

The steps in conducting data science activities consist of several stages, namely problem identification, understanding the current business, data collection, data processing, and making decisions based on insights. Researchers who engage in data science activities are often referred to as data scientists. In their process, data scientists use applications to facilitate their data science activities. One application that can be used by data scientists is Excel. Excel has features that can handle a certain amount of data. However, for the initial steps towards becoming a data scientist, Excel is a good application with features that make it easier for researchers to conduct data science activities. Data that can be managed by Excel is not more than 1 million rows, as Excel only has a maximum of 1,048,576 rows and 16,384 columns. Nevertheless, the features in Excel are already powerful, such as error detection, removing duplicate data, correcting error values, detecting outliers, handling missing data, and validating data. This study discusses the functions of these features in an effort to promote data science for beginner data scientists.
Model Hybrid Menggunakan Dekomposisi-Neural Network Untuk Data Indeks Harga Saham Gabungan

Â The development of Covid-19 has worsened the economy not only nationally but also globally. Since its spread, the price movement of the Jakarta Composite Index (IHSG) has continued to be volatile. JCI price volatility shows risk and uncertainty in investing. Volatility is used as a barometer to determine portfolio management strategies for financial actors. Therefore, financial actors should find a strategy to be able to predict JCI price movements to reduce risks and gain profits. One way that can be done is to predict the JCI price as a reference in investing. This study uses a hybrid model between the decomposition model and the Neural Network (NN) in predicting JCI price volatility. The decomposition uses two approaches, namely additive and multiplicative, the two approaches will then be combined with NN and the NN algorithm used is Feed Forward Neural Network (FFNN) where the results of the decomposition in the form of seasonal, trend, and random data are used as input in the FFNN architecture. The FFNN architecture in this study differs from the hidden layer nodes and the epochs used. Furthermore, the prediction results from the model are compared with a single NN. The performance of each architecture will be measured using the Mean Absolute Error (MAE) and Mean Square Error (MSE). The results show that the hidden layer with more nodes can provide good performance while the epoch used provides good performance depending on the learning process carried out. The prediction results using the hybrid model can outperform the performance of a single NN.Keywords : time series, volatilitas, studi perbandingan, kecerdasan buatan, statistik.
6 Designing Science Visualizations

Making Dinosaurs Dance: A Toolkit for Digital Design in Museums takes the reader behind the scenes to learn how the American Museum of Natural History innovates visitor digital engagement, highlighting design techniques used both there and at museums around the world. Based on the author’s six years at the landmark institution that inspired the Night at the Museum franchise, the book introduces The Six Tools of Digital Design - user research, rapid prototyping, public piloting, iterative design, youth collaboration, and teaming up – then applies them through case studies across a range of topics:
From nominal quantifiers to adverbial modifiers: A corpus investigation with reference to Swedish

As has been noted in grammaticalization literature, partitives, i. e. nominals encoding parts, portions, and sets, tend to evolve into vague quantifiers, and then into degree adverbs. However, while this grammaticalization path has already received a fair amount of scholarly attention in English, the extension of such items beyond the nominal domain in Swedish remains an empirically unexplored territory. Thus, based on random samples of attestations extracted from selected Språkbanken corpora, this paper offers a synchronic glimpse into the syntactic expansion of nine Swedish nominal quantifiers, namely droppe ‘drop’, nypa ‘pinch’, smula ‘crumb’, hop ‘heap’, hopar ‘heaps’, hög ‘pile’, högar ‘piles’, massa ‘mass’, and massor ‘masses’. The Swedish results largely coincide with those obtained for English, and demonstrate that in the verbal domain, most of the scrutinized elements reveal a preference for pronominal uses, in which they function as an argument of the verb rather than a genuine degree adverb, but which nonetheless give rise to secondary scalar inferences, whereas in the adjectival domain, a majority of the items exhibit a propensity to combine with the comparative forms of adjectives/adverbs. Both of these environments may therefore be assumed to constitute bridging contexts in the emergence of full-blown degree modifier uses of grammaticalized partitives. It is further shown that there exists a strong positive correlation between the items’ respective degrees of grammaticalization in the quantifier function and their extents of adverbialization, which testifies to the importance of frequency of use in the scrutinized instance of grammaticalization.
Referencing: Use of Reference Manager

Referencing in research is a critical aspect of academic writing. It involves citing the sources of information and ideas we have used in the research to give credit to the original authors and to enable readers to locate and verify the sources. Reference is the last component of research writing and should be done with accuracy. There are various referencing styles used in the research, and we will learn about them in this chapter. It is often difficult for the researchers to manage the references manually when the number is large. For such instances, researchers prefer to use reference managers, and we shall learn about them as well.
Research and Development of Three-Dimensional Isolation System

The seismic integrity of sodium-cooled fast reactor (SFR) designs in nuclear power plants is of paramount importance. Based on the static loading test, this study investigates the force-displacement relationship and load transference in a three-dimensional seismic isolation system that is envisaged for use in reactor buildings. In SFR designs, the necessity for thin-walled structures to maintain high-temperature structure integrity can unintentionally compromise the seismic design. Consequently, addressing horizontal and vertical seismic forces become vital for ensuring seismic resilience. Currently, there are no specific codes or standards governing the integration of Three-dimensional seismic isolation systems into nuclear reactor buildings. However, current guidelines for the design of horizontal seismic isolation systems emphasize the necessity to clarify the force-displacement relationship and load transfer under conditions of superimposed horizontal and vertical loads. This study involves static loading tests performed on a half-scale specimen, which is subjected to horizontal and vertical loads exceeding the design basis ground motions for the SFR. The findings affirm that the system's horizontal supporting function maintains the segregation of horizontal and vertical load transference, even under seismic loads that exceed the design basis ground motions.
Flying Robot Program in Department of Mechanical and Aerospace Engineering, Nagoya University

Department of Mechanical and Aerospace Engineering, Nagoya University has been attracting attention for its one of compulsory subjects, "Design Practice 3 (DP3)," a hands-on educational program for comprehensive learning through actual design and fabrication based on studies of various mechanics and control engineering. We discuss "Flying Robots Theme" selected from a total of three themes of DP3 in this paper. So far, DP3’s faculty members have reported on this program. However, the reports from the students who have taken the program have not been addressed yet. In this paper, the students who worked on this program themselves discuss their efforts in this program, from the robot design to its operation, including their thoughts of this program.
A Study on the Self-excited Sound Mechanism of Edgetone.

One type of aerodynamic noise caused by airflow is edge tone, which is generated when airflows collide with edge-shaped objects and are separated at the edges. This edge tone is called self-excited sound, but the self-excitation mechanism has not yet been clarified, and quantitative modeling is not yet possible. Therefore, this study examines a mathematical model of edge tones and analyzes the self-excitation mechanism. The hypothesis of the self-excitation mechanism proposed in this study is as follows. "A dipole source above and below the edge induces a vertical particle velocity on the jet axis, which causes the jet to oscillate vertically. The jet vibrates perpendicularly. The oscillation of the jet causes the dipole sources above and below the edge to grow moment by moment, and the value of the particle velocity perpendicular to the axis also increases, resulting in self-excited oscillation of the jet." In the computational model, the dipole source is assumed to be a point source in the opposite phase, and the impulse response of the particle velocity to an impulse input of volume velocity is calculated using the Fourier series transform. As a result, a self-excited phenomenon was generated by assuming a dipole source with an assumed waste time at the edges.
THE USE OF MONDLY APPLICATION AS A MEDIA TO INCREASE STUDENTS’ WRITING ABILITY AT SECOND GRADE SD INPRES TETEBATU

The aim of this research is to know the improvement of students’ writing ability by the implementation of Mondly Application. The research applies pre-experimental with one grup class pre-test and post-test. This research was conducted at SD Inpres Tetebatu. In this research the population was the eight students of SD Inpres Tetebatu in 2021/2022 academic year. The researcher used total sampling technique. The total number of samples was 26 students from class II. After conducted the research, the researcher concludes that the used of mondly application increase writing skill student, it is proved by the mean score of the students in pretest and post-test. The result of the research shows that Mondly application significantly increase students’ writing ability after did treatment. mean score improved from 334 in pre-test to 510,75 in post-test. It indicated that the alternative hypothesis (HA) was accepted and, of course, the null hypothesis (H0) was rejected. It means that Mondly Application could increase the students’ Writing ability in learning English at SD Inpres Tetebatu.
THE EFFECT OF APPLYING CONTEXTUAL LEARNING MODELS IN LEARNING WRITING NARRATIVES AT SMP KARTIKA XXI MAKASSAR

This research uses quantitative research methods with experiments. Using a one group pre-test post-test design. The data analysis used was the T-test with results showing that it was 0.841 and the t-table was 0.684. Because t-count ≥ t-Table = 0.841 ≥ 0.684 and it can be concluded that it is rejected and based on the criteria of significant examiner rules which say if t-Count ≥ t.Table then it is rejected and accepted which means it can be influenced by the application of the Contextual learning model in learning to write narratives and if t-Count &lt; t-Table then it is accepted and rejected, meaning there is no influence on the application of the contextual learning model in learning to write narratives at SMP Kartika XXI Makassar .
Perancangan Sistem Informasi Jasa Laundry Berbasis Web Pada Syam Laundry

The impact of technological developments is spoiling service companies. Laundry services at Syam Laundry Bekasi is a company engaged in laundry services. Syam Laundry does not use any computerized system to manage event data. Maintenance of customer data, event data and delivery slips is still done manually, the solution to the Syam Laundry problem is to utilize webbased information technology in this system using the system development method, namely. a prototype of the Syam Laundry service information system can facilitate employee data entry by 66% to 100% in terms of recording transaction data and data security.
ROR Identifiers That Have Disappeared

Introduction One of the key characteristics of Permanent Identifiers (PIDs) is permanence – the ability to persist through time. Technology evolution is an ever-present challenge to permanence with rapid evolution of essentially everything at all levels: back-end storage, data and api representations, indexing and searching, web technologies, and user expectations.
Perancangan Sistem Informasi Kepegawaian Dengan Model System Development Life Cycle Pada Kantor Kelurahan Cimuning

In government agencies, computer technology is considered to be able to support the effectiveness, productivity and work efficiency of employees and is very reliable in supporting every job in government agencies. The Cimuning sub-district office is one of the government agencies that continuously improves employee work effectiveness. Data collection on employee leave and employee permits needs optimization. The purpose of this research is to build a personnel information system using Visual Basic.Net programming which will provide solutions and convenience in processing data and searching employee data. This research method is SDLC waterfall model. The result of this information system is to make it easier for employees to search data and collect employee data.
Metadata Life Cycle: Mountain or Superhighway?

This work could not have been done without Lisa Johnson, the Director of the Data Repository for the University of Minnesota (DRUM). Thanks Lisa!Introduction During the early days, repositories had metadata collections in one dialect that served, to some degree, all needs: discovery, identification, access, interoperability, and reuse.
Funder Metadata: Identifiers and Award Numbers

Research activities depend on monetary and other support from a wide variety of state and federal agencies, universities, foundations, and individuals.
Pemodelan Sistem Identifikasi Pembicara Dengan MFCC dan Support Vector Machine

In this paper, we focus on speech recognition were speakers used text-dependent which means the text agreed in advance and will be used next. This system using MFCC as feature extraction and SVM as pattern recognition. Data were taken from 10 adult speakers with differences in gender, age and ethnicity. Each speakers provide 50 ballot "computer" and its pronunciation is not controlled resulting in 500 data. Some data training are contaminate with gaussian noise with level 80dB, 70dB, 60dB, 50dB, 40dB, 30dB, 20dB, 10dB and 0dB. The research uses a frame length: 40 ms, overlapping frames: 50%, and the coefficient mel: 13. Noise Cancelling also tested in this research, although not getting optimal results. Pattern recognition SVM with RBF kernel functions produce 100% accurate results. Time process of Sequential Minimal Optimization algorithm is better than Quadratic Programming algorithms. Increasing the number of speakers to see the performance of the system with a greater amount of data can be made for further research.