Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN SISTEM INFORMASI AKUNTANSI MASJID (SIMAS) PADA MASJID ASH-SHOBIRIN RUNGKUT SURABAYA

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Abstract.&lt;/em&gt;&lt;/strong&gt; &lt;em&gt;The purpose of community service is to design mosque books and accounts based on the Interpretation of Financial Accounting Standards (ISAK) 35. Community service activities focus on developing a mosque accounting information system that is designed regarding applicable accounting standards and is relevant to mosque entities. Mosque entities are classified as non-profit-oriented entities, so the accounting information system developed refers to accounting standards governing accounting for non-profit-oriented entities. namely SAK ETAP and ISAK 35. The implementation method in community service activities is currently carried out through discussion forums, training, and mentoring. Discussion forums were held with mosque administrators in the context of compiling a chart of accounts and initial trial balance. Training and mentoring are carried out concerning the input of daily transactions to prepare financial statements. The results of community service activities are software called the mosque accounting information system (SIMAS) and mosque financial statements.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;br /&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak.&lt;/strong&gt; Tujuan pengabdian masyarakat adalah merancang pembukuan dan pembukuan masjid berdasarkan Interpretasi Standar Akuntansi Keuangan (ISAK) 35. Kegiatan pengabdian masyarakat fokus pada pengembangan sistem informasi akuntansi masjid yang dirancang sesuai dengan standar akuntansi yang berlaku dan relevan dengan entitas masjid. Entitas masjid tergolong entitas non profit oriented, sehingga sistem informasi akuntansi yang dikembangkan mengacu pada standar akuntansi yang mengatur akuntansi untuk entitas non profit oriented. yaitu SAK ETAP dan ISAK 35. Metode pelaksanaan dalam kegiatan pengabdian kepada masyarakat saat ini dilakukan melalui forum diskusi, pelatihan, dan pendampingan. Forum diskusi dengan pengurus masjid dilakukan dalam rangka penyusunan chart of account dan neraca saldo awal. Pelatihan dan pendampingan dilakukan mengenai input transaksi harian untuk menyusun laporan keuangan. Hasil kegiatan pengabdian kepada masyarakat berupa perangkat lunak yang disebut sistem informasi akuntansi masjid (SIMAS) dan laporan keuangan masjid. &lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;div id="gtx-trans" style="position: absolute; left: -107px; top: 375.148px;"&gt; &lt;/div&gt;
Membangun Budaya Literasi Baca di UPT SD Inpres Bert Kaluku Bodoa

schools in carrying out reading literacy at the Inpres Bert Kaluku Bodoa Elementary School. Reading is an important thing in the teaching and learning process. Reading is the process of absorbing knowledge through reading or writing. Each student has abilities that vary from fast, medium and slow in terms of reading. This study aims to increase the need for habituation in students in increasing interest in reading. future at SD Inpres Bert Kaluku Bodoa. With some data and documenting the results of "learning while learning" making a reading corner in class. The object of the research is the class teacher and students in grades V and a reading corner in the library with data collection techniques by direct observation, interviews and documentation. The data obtained were analyzed qualitatively, showing that the first reading corner activity was an evaluation program at the Inpres Bert Kaluku Bodoa Elementary School. Second, the implementation of reading corner activities is carried out every day
Macroprudential Policies in Response to External Financial Shocks

This paper examines how countries use Macroprudential Policies (MaPs) to respond to external shocks such as US monetary policy surprises or fluctuations in capital flows.Constructing a model of a small open economy with financial frictions and a MaP authority that adjusts loan to value (LTV) ratio limits on borrowers and capital adequacy ratio (CAR) limits on banks, we show that using MaPs where stochastic external financial shocks are present entails a trade-off between macro-financial volatility and GDP growth.The terms of the trade-off are a function of a few country characteristics that amplify financial channels of external monetary shocks.Estimating MaP reaction functions for a panel of 41 countries in the period 2000-2017, we find that countercyclical macroprudential policy in response to surprise US monetary tightening is more likely for countries with net short currency mismatches (that is, foreign currency denominated liabilities larger than foreign currency denominated assets), consistent with the model's predictions.The paper also finds that domestic credit and interest rates are more insulated from US monetary tightening for countries that employ MaPs countercyclically.
Application of Domain Keys Identified Mail, Sender Policy Framework, Anti-Spam, and Anti-Virus: The Analysis on Mail Servers

Viruses spread through email are often sent by irresponsible parties that aim to infect email users' servers. This background encouraged the author to analyze the application of DKIM, SPF, anti-spam, and anti-virus to avoid spam, viruses, and spoofing activities. The goal is for the server to prevent spam, spoofing, and viruses to ensure the security and convenience of email users and prevent the impact of losses caused by them. The design and analysis of DKIM, SPF, anti-spam, and anti-virus applications use the NDLC methodology. The process includes designing spam, spoofing, and virus filtering systems and performing installation and configuration simulations. The next stage is implementation, during which the previously developed system is tested on the spam filtering system, spoofing, and viruses. The last stage is the monitoring stage, where supervision is conducted on the approach to determine its success level. This study concludes that applying the DKIM protocol can prevent spoofing through private and public key-matching methods for authentication. Meanwhile, the application of the SPF protocol can prevent spoofing by authorizing the IP address of the sending server. Additionally, SpamAssassin, ClamAV and Amavisd-New can prevent spam and viruses from entering by checking email headers, bodies, and attachments.
Differences and Similarities: Variability and Fractality in CDST

Variability and fractality, two key concepts in Complex Dynamic Systems Theory (CDST)—the former concerning changes and variations, and the latter concerning recursiveness and self-similarities—may seem contradictory at first glance. This forum piece attempts to elucidate how the two seemingly contradictory properties can be reconciled in CDST to examine second language (L2) development. To that end, this piece includes a definition and short epistemological history of each concept, accompanied by a review of some relevant studies. It concludes with two metaphors to illustrate the relationship between variability and fractality, and how the two seemingly irreconcilable ideas can generate a clearer and more panoramic view of L2 development.
Peningkatan Kapabilitas Siswa Sekolah Dalam Belajar dan Penerapan IPTEK

This community service has been carried out from August to September 2022 in Cikahuripan Village, Cisolok District, Sukabumi Regency. Some of the main problems in Cikahuripan Village are not yet optimal ability to use computer technology, public awareness about the importance of technology already exists but this only focuses on cellphone technology not on larger technology. This service aims to increase public awareness of the importance of mastery in the use of computer technology. The service is carried out in the form of a seminar with the title "Socialization of Computer Introduction to Junior High School Students." The seminar was held at SMP Negeri 1 Cisolsok which aims to develop students' abilities to understand more about computers. This socialization also explains the history of computers from generation to generation and the hardware and software on computers.
Penerapan Algoritma K-Means untuk Klasterisasi Penduduk Miskin pada Kota Pagar Alam

The purpose of this study was to obtain a poverty data cluster in Pagar Alam City. The data collection of beneficiaries of the Program Keluarga Harapan (PKH) is not correct, the provision of assistance only pays attention to the criteria for poverty in general, so there are still many poor people who feel more deserving of PKH assistance. To overcome the problem of PKH recipients, it is necessary to cluster the community into various levels, so that the government can know the level of poverty of the community and can provide PKH assistance appropriately. The methods used in this study are CRISP-DM and the K-Means clustering algorithm. The attributes used are Identity Number, Name, Family Family Card Number, Poverty Rate, Pregnant Women, Early Childhood, Elementary School, Junior High School, Senior High School, Elderly, and Family Hope Program Recipient Group. This clustering process produced three clusters, namely cluster_0 as many as 156 people, cluster_1 as many as 82 people, and cluster_2 as many as 233 people. Furthermore, it was developed into a system with the Rapid Application Development (RAD) system development method. Thus producing a K-Means algorithm system to classify the poor in Pagar Alam City. The system test method uses black box testing with the alpha method and obtained database test results with a value of 4, interfaces with a value of 4, functionality of 4.42, and algorithms with a value of 4. In the testing process with UAT, in the system aspect got 87% of users agreed, in the user aspect 86% agreed, and in the interaction aspect 87% of users agreed. So it can be concluded that this system is worth using.
ANALISIS PENENTUAN POLA DATA PENDUDUK BERHAK MENDAPAT BANTUAN MENGGUNAKAN ALGORITMA APRIORI

Data collection is a process of proving a research result which is used as the basis for studies and opinions. The problem of poverty has always been a fundamental problem that continues to be faced by society. With the problems that exist, the researcher uses a set of data by analyzing a number of population data in the database using data mining with the a apriori algorithm method to produce information. The a apriori algorithm calculation performed by the author retrieved 150 population data to be processed. the results of the research and discussion that have been carried out by researchers that the analysis process of determining population data patterns is entitled to assistance using the a apriori algorithm method can be seen based on a combination of 2 itemsets with a tendency value on unstable income and cement floors in houses with a minimum support value of 70% and minimum value of 84% confidence.
Interconnected Dynamic Components of Learner Language

Second language development can be viewed as a complex and dynamic process in which learners follow non-linear trajectories and develop their language over a period of time (Larsen-Freeman, 2006). Intrinsic to the view of Complex Dynamic Systems Theory (CDST), a system is composed of hierarchical, interdependent subcomponents (learner, learner language, and environment) in dynamic relations as learners develop their interlanguage over time. This piece reviews the interactive and dynamic nature of the subcomponents illuminating the transitory nature or variability (in patterns of language development) that is inherently a characteristic of a complex dynamic system (Larsen-Freeman &amp; Cameron, 2008). First, the forum piece describes how the growth of a subsystem can affect other parts of the system, followed by an explanation of the diverse interrelationships between the connecting subsystems. Next, three empirical studies on the varied relationships between the subsystems are presented. The article concludes with a critique of the current state of research on this topic, revealing some gaps that need to be addressed in future research.
Penerapan Data Mining dengan Metode Regresi Linear untuk Memprediksi Data Nilai Hasil Ujian Menggunakan RapidMiner

Prediction is one of the methods in data mining. One of the models that can be used in prediction is using linear regression. Linear regression is used to make predictions on the data that has been provided. In this study, a linear regression model was made with a datasheet containing data that affected student achievement in achieving final exam scores. The linear regression model developed can be used to predict student test scores. The linear regression model developed can be used to predict student test scores. The datasheet used in the test uses a public datasheet, namely student_performance.csv. The datasheet consists of 395 records and 33 attributes. The attributes used are selected that influence the label. The selection of attributes is based on the results of the weighting in the process of checking the correlation matrix. Based on the weighting, the attributes used are seven attributes and one attribute becomes a label. The research method uses CRISP DM which consists of business understanding, data understanding, data preparation, model making, evaluation, and deploying. The data mining process uses the Rapid Miner application. The results of the study resulted in a linear regression model y=0.729-(0.024×Medu)-(0.020×Fedu)+(0.053×failures)-(0.077×goout)-(0.012×absences)+(0.126×G1)+(0.862×G2). The result of evaluating the performance of the RMSE value was 0.675. Based on these results, it can be concluded that the resulting model can be recommended for use in predicting student test scores.
Optimized algorithms for temporal phase unwrapping without degrading the signal-to-noise ratio

In this work, the general temporal phase unwrapping (TPU) algorithm is described as a weighted sum of wrapped phases, followed by a rewrapping process to remove integer multiples of 2π. Then, we propose dual-sensitivity phase unwrapping using the scalar relation between a synthetic non-wrapped estimation and one of the high-modulation phases. This two-stage approach allows TPU algorithms to preserve the original signal-to-noise ratio (SNR). An optimized method considering the relative phase modulations is also proposed, allowing us to successfully use TPU in conditions where fixed-coefficients algorithms would fail. Mathematical derivation, numerical simulations and experimental results are presented.
A Case Study on the Experience of Professionalism, Resilience and Happiness of Local Children's Center Workers

This study is a case study on the experience of professionalism, resilience, and euphoria of local children's center workers.The local children's center is a place that provides comprehensive child welfare services to promote the sound development of children through the protection and education of local children, the provision of wholesome play and entertainment, and the connection between guardians and the local community.The participants of this study conducted in-depth interviews with 5 center heads currently working at local children's centers.In this study, a general method of selecting participants for qualitative research was selected for purpose sampling, and individual in-depth interviews were conducted from April 1, 2022 to July 5, 2022 by selecting the research participants.The in-depth interview data analysis of this study used the analysis method used by Ahn Ji-ryeong ( 2013) and Jang and Park (2016).For data analysis, all interview contents recorded at the time of collection were transcribed, and the transcribed data were reconstructed and analyzed after reviewing the contents of each question and transcribed contents.Local children's center workers are human service professionals demanded by society, and they can reduce work stress so that the expectations, rewards, and hopes they started with are not gradually weakened, and they can feel happy by receiving social support from the work environment and resilience.This suggests that institutional arrangements are necessary.
Investigating Academic Motivation and Achievement of College Freshmen in Hybrid, Online, and In-class Learning

The purpose of this study was to investigate academic motivation and achievement of college freshmen and the impact of course modality on their motivation and achievement.The participants were 350 college freshmen with a mean age of 20.1, and male students were 116 and female were 184.They participated in the same elective course with three types of course modality: 119 in offline in-class learning, 130 in online learning, and 101 in hybrid learning.The Academic Motivation Scale (AMS) was adapted to analyze students' motivation for engaging in their learning class.An online survey was used to collect students' AMS.Confirmatory factor analysis and Cronbach's α were conducted to examine the validity and reliability of the scale and three factors were found: intrinsic motivation (IM), extrinsic motivation (EM), amotivation (AM).It was found that EM and AM were significant predictors of students' achievement.The result indicated that students who had a higher EM showed a higher performance and those who had a higher AM had a lower performance.This study also found that students attending hybrid learning classes had a highest AM and a lowest IM while those attending inclass learning had a lowest AM and a highest EM.Some suggestions and limitations were provided in the conclusion.
Factors Afecting of Online Lecture on Online Class Satisfaction of Health Science Students Taking Online Classes Acording to COVID-19

The purpose of this study is to establish an effective teaching and learning strategy by understanding the effect of COVID-19 on online class satisfaction of health college students who have experienced online lectures and provide basic data for the paradigm of online class satisfaction.For data analysis, t-tests and one-way ANOVA were performed using the SPSS 21.0 program.The variables that appeared statistically significant in the subjects' general characteristics and online learning characteristics, the interaction between professors and students, and the factors that self-directed learning ability affect online class satisfaction were analyzed(p〈.05).The major, confidence in online classes, satisfaction of online classes, online class types, effectiveness of online classes, and interaction between professors and students explained 68.3% of online class satisfaction (F=45.499,p<.001).Major (β=.210, p<.001), the higher the confidence of online classes (β=.148, p<.001), the higher the satisfaction of online classes (β=.239, p<.001), the more preferred the online class type (β=.117, p<.001), the higher the effectiveness of online lectures (β=.370, p<.001), and the better the interaction between the professor and the student (β=.298, p<.001) were higher with online class satisfaction.Therefore, it is necessary to establish online education methods and teaching and learning strategies for health college students who need on-site practical skills, and to develop educational intervention programs using online content to cultivate various learning skills.
Exploring Big Idea-Based Content for School Music Education

In a society with many changes, education aimed at fostering competency, which is based on big idea education.Accordingly, the purpose of this study is to extract the elements of big ideas in school music education and to present music education contents based on these big ideas.To achieve the research purpose, competency, which is the goal of the big idea, was examined, and the meaning, content, composition, and characteristics of competency were investigated.In addition, cases in other countries where music contents were composed based on big ideas were analyzed.These studies were conducted through the documentary research method and case study method, and the main results are as follows.First, the big idea of music education should be centered on methods and processes, connection and application, not specific content or knowledge.Second, how humans perform music, what the process is like, in what context humans make music, and what kind of musical experiences or expressions are the main issues of music big ideas.In the end, big ideas in music education should be presented in terms of music itself, people who perform music, and society/culture/context to which people and music belong.
A Novel Neural Collaborative Filtering Recommendation Based on Side Information Fusion

It is difficult to accurately learn user's latent features using only one single data source. In order to solve these problems, we consider to utilize relevant side information of users or items as a supplement to rating information to enhance the performance of recommender systems, and propose a novel neural collaborative filtering recommendation model based on side information fusion. Extensive experiments on different datasets validate the efficiency and accuracy of our proposed framework.
Dynamic Coding Method of Video Segments Stream by Specifying Structural Changes

Consequently, many basic non-equilibrium positional coding is built using the technology of supporting the bases in the process of encoding the transform sequence. The essence of this technology is to represent the elements of the subsequent array, the processed segment of the video image, in the form of a multi-basic unequal weight positional number, which corresponds to the differential basis of the bases. Taking into account this, the bases for the corresponding elements of the segment are completely replaced by the bases of the previous array. A code-forming system has been developed to create an effective syntactic representation of video image segments, taking into account their informativeness based on the use of many basic unevenly weighted positional code structures. The basic differences are that: an effective syntactic representation of image segments is carried out taking into account their informativeness; simultaneous use of synthesized spatial components and systems of many basic unequal weight positional structures that adapt depending on the number of structural and statistical informativeness of the segments.
On the Use of CSP Semantic Information in SAT Models

Constraint Satisfaction Problems (CSP) and Propositional Satisfiability Problems (SAT) are two paradigms intended to deal with constraint-based problems.In CSP modeling, it results natural to differentiate between decision and auxiliary variables.In SAT, instances do not contain any information about the nature of variables; solvers use the Variable Selection heuristic to determine the next decision to make.This article studies the effect of transfer semantic information from a CSP model to its corresponding SAT instance, in order to guide the branching only to variables directly related to the CSP model.The results obtained suggest that this modification can speed up the resolution for some instances.
Financial Inclusion as a Gateway to Human Development in Africa

In this paper, we investigate the relationship between financial inclusion and human development in Africa using annual data from 45 African countries covering the period 2000-2020. In analyzing the data, the generalized method of moments (GMM) technique is adopted. The results show that financial inclusion positively and significantly influences human development in Africa, implying enhancing financial inclusion engenders human development. The findings also reveal that financial development and economic growth have a positive significant effect on human development while trade openness and human development are negatively related. Following from the findings it is recommended that national governments and connected stakeholders should step up efforts to deepen financial inclusion as a critical pathway to enhancing human development.