Reviewerly/exHarmony huggingface dataset:
EFEKTIFITAS E-BOOK ENSIKLOPEDIA SERANGGA DENGAN STRATEGI MIND MAPPING UNTUK MELATIHKAN KETERAMPILAN BERPIKIR KREATIF SISWA

Abstrak. Perkembangan teknologi yang semakin maju, mempengaruhi proses pembelajaran yang mengaplikasikan perkembangan teknologi dan melatihkan keterampilan yang dibutuhkan di abad 21 yaitu keterampilan berpikir berpikir kreatif. E-book yang dikembangkan dengan strategi mind mapping, dilengkapi berbagai fitur yang dapat mendukung kreativitas siswa. Penelitian ini bertujuan untuk menghasilkan e-book ensiklopedia serangga dengan strategi mind mapping untuk melatihkan keterampilan berpikir kreatif kelas X SMA Negeri yang dinyatakan efektif. Keefektifan e-book ensiklopedia serangga ditinjau dari hasil belajar , keterampilan membuat mind mapping dan respon siswa. Metode yang digunakan adalah metode penelitian dan pengembangan (R&amp;D) yang dimodifikasi dan dilakukan di Pascasarjana Sains Unesa pada bulan Juni 2020 – Februari 2021. Teknik pengambilan data melalui validasi, observasi, angket dan tes. Teknik analisis data dilakukan secara kuantitatif. Berdasarkan hasil penelitian diperoleh rata-rata skor hasil belajar siswa sebesar 82,60% dan nilai N gain sebesar 0,50 kategori sedang. Skor rata-rata keterampilan siswa membuat mind mapping sebesar 79 dengan kategori tinggi. Dan ditinjau berdasarkan keterampilan membuat mind mapping dengan rata-rata 79 kategori baik dan berdasarkan respon siswa (dengan hasil 99,46% merespon positif).Abstract. The development of increasingly advanced technology affects the learning process that applies technological developments and trains the skills needed in the 21st century, namely creative thinking skills. The e-book, which was developed with a mind mapping strategy, is equipped with various features that can support student creativity. This study aims to produce an insect encyclopedia e-book with a mind mapping strategy to practice creative thinking skills for class X SMA Negeri, which was declared effective. The effectiveness of the insect encyclopedia e-book in terms of learning outcomes, mind mapping skills and student responses. The method used is a modified research and development (R &amp; D) method and was carried out at the Unesa Science Postgraduate in June 2020 - February 2021. The data collection technique was through validation, observation, questionnaires and tests. The data analysis technique was carried out quantitatively. Based on the results of the study, the average score of student learning outcomes was 82.60% and the N gain value was 0.50 in the medium category. The average score of students' mind mapping skills was 79 in the high category. And reviewed based on the skills of doing mind mapping with an average of 79 good categories and based on student responses (with the result of 99.46% responding positively).
Tri-Endomorphisms on BCH-Algebras

In this paper, we use the concept of endomorphisms and bi-endomorphisms as a model to create tri-endomorphisms on of BCH-algebras. We introduce the concepts of left tri-endomorphisms, central tri-endomorphisms, right tri-endomorphisms, and complete tri-endomorphisms of BCH-algebras and provide some properties. In addition, we obtain the properties between those tri-endomorphisms and some subsets of BCH-algebras.
A Comparative-Correlative Study of Test Rubrics Used as Benchmarks in Assessing IELTS and TOEFL Speaking Skills

The study focused on the comparative correlative study Test Rubrics Used as Benchmarks in Assessing International English Language Testing System (IELTS) and Test of English as a Foreign Language (TOEFL) Speaking Skills. To carry out this project, the researcher searched for IELTS and TOEFL candidates and recruited and finally selected 37 male and female candidates who took both standard tests for various reasons. The statistical results obtained (mainly Pearson&amp;#39;s correlation coefficient of correlation moments) showed significant joint variability between IELTS Speaking scores derived from IELTS test bars and frequency band description factors, TOEFL Speaking scores derived from TOEFL test bars, and assessment scores. criteria. The results show that there is a high correlation index (0.862**) between the two tests scoring systems for speaking. The results also reflect a high correlation index (.903**) between the two tests scoring systems, assessing general English proficiency and speaking ability using both tests rubrics.
Combination RC4 Algorithm and Base64 Encryption on The Least Significant Bit Method

Steganography is an art form of hiding data or information on a medium. Steganography was created as a way to secure data by hiding it in other media so that it is "invisible". In steganography, secret data is hidden in a carrier such as sound, image or video. Securing messages using steganography is still vulnerable to third parties because the message inserted is still the original message, so that when it is successfully deleted from the message carrier it can be immediately identified. Given these problems, the steganography method needs to be combined with other methods to strengthen the level of data security, in this case a combination of steganography and cryptography will be carried out so that the embedded message will be different from the original message. Even if the data is deleted from the user, the message cannot be known immediately. In this trial, the RC4 cryptographic method which has a symmetric key and also Base64 will be implemented in the PHP and Android programming languages using the Least Significant Bit (LSB) steganography method which will create encrypted secret messages embedded in JPG format, JPEG image media formats on each the last bit of a pixel so that the eye does not see the difference between the inserted and non-inserted images with the original image variable/result of 131.91KB after the Encryption process the amount of data is 31.92KB with very small differences so that data security is maintained without being visible to the naked eye
ICTS and new scenarios for diversity

Research is a process aimed at seeking new knowledge, in this case, it will be to find alternative paths in the field of new technologies that serve to support special educational needs. Society demands these technological contributions to solve problems that contribute to inclusion, which led man to work with greater ergonomics; The school, a social institution, also needs these resources so that all students can build a teaching process of functional and meaningful learning for each and every student. The educational system outlines an education that attends to the educational needs of all students; and from these pages the intention is that new technologies are a path of support that assists diversity and inclusion.
GEOSPATIAL TECHNIQUES FOR MAPPING AND ANALYSIS OF CLIMATIC VARIABLES IN GOMBE STATE, NORTH-EAST NIGERIA

This study was carried out to apply satellite- based climatic data in geospatial environment to downscale climatic data into smaller political units and to generate and analyse thematic maps of climatic variables in Gombe State. Spatial climatic data on rainfall, minimum and maximum temperature were obtained from DivaGIS climatic data, while water vapour, solar radiation and wind speed were derived from the WorldClim climatic data. Monthly climatic records from 1981-2021 in twenty-four points evenly spread across Gombe State on rainfall, minimum/maximum temperature and relative humidity were obtained from NASA Power Project to generate the trends and seasonal patterns of temperature and rainfall. Daily climatic records of rainfall were also acquired from globalweather climatic data between 1979 and 2013 and processed to derive the values of rainfall indices using Nieuwolt formula. The monthly climatic records were processed using the kriging module of ArcGIS to transform the point climatic data to spatial data. The result revealed that rainfall in Gombe State occurs mainly between May and September with the peak in August, while the trends in rainfall was decreasing at the southern and northern parts of the state but increasing at the central region. Rainfall onset occurs in the 1st or 2nd week of May in the south, but late (1st week of June) in the north. Rainfall cessation at the central and northern parts of the state occurs in the 3rd or 4th weeks of September, while the southern part experiences late cessation between the 1st and 3rd week of October. The LRS ranges from 95-111 and 160-175 days in the northern and southern parts respectively. High relative humidity was recorded between May and October with the peak in August. Spatial patterns of solar radiation and wind speed were also generated and analyzed. Awareness of the use of satellite based climatic data and geospatial techniques for downscaling climatic data were recommended in order to ease the problems of lack or inadequate climatic data for spatial mapping. Causal factors for the spatial patterns of climatic variables in Gombe state was suggested for further studies
Validasi Data Model Prediksi Curah Hujan Satelit GPM, GSMaP, dan CHIRPS Selama Periode Siklon Tropis Seroja 2021 di Provinsi Nusa Tenggara Timur

Rainfall is also one of the meteorological parameters that are very influential in life. Measurements of this rainfall can also vary both from direct observations and remote sensing results from satellites. But often, data from satellites is not accurate for the conditions that occur in an area. The purpose of this study is to test the accuracy of product data from various GPM, GSMaP, and CHIRPS satellites with observational data using the Seroja tropical cyclone case study that will occur in 2021 in East Nusa Tenggara Province. Based on the results of the analysis, it can be seen that there are variations in various assessments, including RMSE, correlation, and contingency table analysis. In terms of correlation, it shows that the lowest correlation is in the Ruteng area based on data from the GSMaP satellite, and the highest correlation is in the Larantuka area based on data from the GSMaP satellite. Meanwhile, the satellite data that has the smallest error value is from the CHIRPS satellite data in the Maumere area.
Implementasi Kebijakan Sistem Zonasi Dalam Penerimaan Peserta Didik Baru (PPDB)

Problems in research on the implementation of the zoning system policy at four state senior high schools (PPDB) have not yet been adequately communicated to the community in regards to the zoning system policy. This study aims to investigate and comprehend the implementation of the PPDB zoning system policy. This method is qualitative in nature. Interviews, observation, and documentation are techniques for collecting data. Communication-wise, the implementation of the zoning policy in SMA Negeri 4 Kisaran has not been optimal. The dissemination of information has been limited to banner placement and social media sharing. In addition, the socialization period ended just one week before the new student admission (PPDB) registration opened. However, SMA Negeri 4 Kisaran's resources, including human resources, facilities, and financial funding, are already quite adequate. The school principal selects human resources, such as the PPDB organizing committee, based on their skills and knowledge. BOS funds provide the financial resources for implementing the zoning policy. The infrastructure and facilities at SMA Negeri 4 Kisaran are already adequate. It is deemed adequate in terms of the disposition and attitude of the implementers, including the appointment of bureaucrats and the incentives provided to them. This is evident in the dedicated service provided by the PPDB organizing committee, which provides detailed explanations to the community visiting the registration site and addresses other issues pertaining to the admission of new students. In addition, the incentives offered to implementers of the zoning policy for conducting the PPDB in SMA Negeri 4 Kisaran are deemed adequate.
Analysis of University Dropout Research Trends Using Structural Topic Modeling

Objectives This study aimed to identify various issues and problems related to university dropout by analyzing research trends related to university dropout using structural topic modeling, and to identify various factors that affect university dropout.&#x0D; Methods A total of 86 papers related to college dropout published from 2003 to 2022 were analyzed for research purposes using the R program and R Studio. The DTM generation and topic modeling analysis, which represent the frequency of all word occurrences in a matrix, were analyzed and visualized, and the final analysis was performed using structural topic modeling.&#x0D; Results As a result of the study, the keywords associated with college dropout were academic achievement, stress, physical condition, adaptability, and career indecision. In addition, five themes were identified in the structural topic modeling: “students' psychological factors and academic achievement,” “social adjustment and integration of college life,” “career indecision and learning motivation,” “learning environment factors and sense of belonging,” and “school environment factors and support services.&#x0D; Conclusions Over the past 18 years, there has been a steady increase in the number of studies on personal characteristics, college environmental factors, and support services related to college dropout. The comprehensive results of research trends related to dropout shown in this study will provide implications for the preparation of support measures and follow-up studies that can prevent university dropouts.
EFEKTIVITAS PENGELOLAAN KEARSIPAN PADA DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN SUKABUMI

The title of the research is "The Effectiveness of Archives Management at the Population and Civil Registration Department of Sukabumi Regency". The research was aimed at finding out archives management effectiveness at the Population and Civil Registration Department of Sukabumi Regency. The method used in the research was quantitative method with descriptive approach. The techniques of collecting data conducted in the research were observation, questionnaire, interview and documentation. The population in the research were employees of the Population and Civil Registration Department of Sukabumi Regency. The technique of sampling deployed in the research was purposive sampling using the Slovin formula with a precision of 5% obtaining samples amounted to 66 employees. The technique of processing data in the research used SPSS (Statistical Product and Service Solutions) 25 in order to determine the validity and reliability of data, as well as hypothesis testing. The results of the research show that the effectiveness of archives management at the Population and Civil Registration Department of Sukabumi Regency gains a percentage of 83.45%; thus, the hypothesis testing obtains a value of tcount 79.271 &gt; ttable 1.66864. Therefore, H0 is rejected and Ha is accepted. The results indicate that the Effectiveness of Archives Management at the Population and Civil Registration Department of Sukabumi Regency is considered very effective.
Visualization of Signals with Variable Length for Character Recognition

Research on human motion recognition using various sensors has been steadily conducted.However, despite the increasing spread of smartphones and the activation of research using smartphone sensors, research on character recognition methods using signals with variable length is still at a standstill.The reason is that even with the same motion, the length of the signal is always different, making it difficult to process.To solve the problem, the study proposes a method of recognizing characters using an object detection neural network as a classifier.In this study, five different subjects collect data by drawing three alphabets, I, S, and Z letters 100 times each in the air and the collected data is used to train an object detection neural network and to evaluate the performance of the network.The data changes into images through denoising and normalization.Third-order spline interpolation and Fourier transform are used to remove noise from the raw signal.The values of the acceleration sensors x, y, and z axes correspond to the values of the R, G, and B channels of an image, respectively.As a result of evaluating character recognition performance by applying image data to YOLOv5, it showed an average accuracy of 99% for three characters.
Investigation on the Performance of Surrogate-assisted Genetic Algorithms According to Changes in Learning Model and Data

Optimization problems are used in various fields, but it is difficult to use optimization techniques such as genetic algorithms when calculating fitness takes a very long time.In this context, many studies have been conducted to reduce the computation time of black box optimization problems by predicting the quality of solutions by creating surrogate models with machine learning algorithms such as gaussian process and support vector regression.In this study, we compared the difference in approximate performance of machine learning according to the type of learning model, the amount of training data, and the sampling method of training data in binary, permutational, real, and periodicfunction encodings.Therefore, the simpler the problem is, the better the performance of the gaussian process is, also, the larger the number of training data is, the better the approximation performance is, The results showed that unbiased training through sampling is advantageous for high performance.Based on these results, experiments were performed by replacing the fitness function of the genetic algorithm with a machine-learning model on binary, permutation, and real number encoding.When the machine learning approximation was well done, on average, the performance of genetic algorithms with surrogate models was slightly lower or similar to that of genetic algorithms without surrogate models.In rare cases, it showed better performance, such as finding an optimal solution within about 1.6 times fewer generations, or finding an optimal solution with a higher fit than the genetic algorithm that dose not use a surrogate model.
Applications and resource reductions in measurement-based variational quantum eigensolvers

Abstract We discuss the procedure for obtaining measurement-based implementations of quantum algorithms given by quantum circuit diagrams and how to reduce the required resources needed for a given measurement-based computation. This forms the foundation for quantum computing on photonic systems in the near term. To demonstrate that these ideas are well grounded we present three different problems which are solved by employing a measurement-based implementation of the variational quantum eigensolver algorithm (MBVQE). We show that by utilising native measurement-based gates rather than standard gates, such as the standard controlled not gate (CNOT), measurement-based quantum computations may be obtained that are both shallow and have simple connectivity while simultaneously exhibiting a large expressibility. We conclude that MBVQE has promising prospects for resource states that are not far from what is already available today.
Introduction to programming Using Clean

In this poster, we report our on-going project that aims to design a good set of course materials for introduction to programming using a functional programming language, Clean[2]. While procedural languages such as C, Python, etc are used in most introduction to programming classes, we believe that Clean might be better for students, because the syntax is very simple and in many cases, the size of a program in Clean is shorter than a corresponding program in C or other procedural languages. In addition, if Clean is used in an introduction to programming course, a lot of recursive examples can be introduced intuitively. This is important because even though recursion is one of important concepts that students should understand, many students have difficulty understanding the concept[3].
Chapter 2: Using R to Simulate Events

In the next chapters we will learn many pencil-and-paper methods for computing probabilities of events. However, we can also write computer code to approximate probabilities of events (to as much precision as desired), either because they are too hard to calculate, or simply to verify that our calculation is correct. Computer simulations are extremely useful in the “real world,” where problems are seldom as “nice” as in statistics textbooks.
Chapter 18: The Normal Random Variable

The famous “bell-shaped” density is the most important of the probability distributions, largely because of the central limit theorem, which is the topic for a future chapter. There are two parameters, called μ and σ2, which we will show are the mean and the variance of the distribution. We write Y ∼ N(μ, σ2), and its density function isLet’s sketch this density using notions from calculus. First, we notice that the density is symmetric about μ; that is, when y is some distance to the right of μ, the density has the same value as when y is the same distance to the left of μ. The density is positive over the entire real line, and the limit as y gets large in either direction is zero.
Chapter 19: CDF Tricks: Probability Plots and Random Number Generation

Quantiles and percentiles of a distribution can be found using the cumulative distribution function (CDF), which was defined in Chapter 15. For example, to find the 10th percentile of a distribution with CDF F, we solve F(x) = .1 for x. This percentile will exist and be unique for a continuous distribution. For many families of distributions, the quantiles are easy to find using R. For example, qgamma(.25,8,2) will return the 25th percentile of a Gamma(8,2) density, and qnorm(. 95,10, 2) will return the 95th percentile of a normal distribution with mean 10 and standard deviation 2. Further, qnorm(l :n/(n+l), 10, 2) will return n quantiles from this normal distribution, as shown for n = 20 in the plots below. On the left, the areas under the normal curve, between consecutive quantiles, are all equal to 1 /{n + 1). On the right, there are η equally spaced vertical ticks in (0,1), and these are mapped to the quantiles through the CDF.
Data Acquisition for Abnormality Detection using an Experimental Bogie on Test Track

Actual data on the state of the vehicle leading to derailment is necessary for research on the detection of derailment signs of railway vehicles.In this paper, the acquisition of data on the state leading to wheel climb of the experimental bogie is described.