Reviewerly/exHarmony huggingface dataset:
Analysis and Design of Web-Based Wedding Planner Applications Case Studies on Resta Wedding Organizers

Wedding Planner is a service that serves to assist the bride and groom in doing a planning and implementation of the entire event in a wedding party by adjusting all the needs and desires of the bride and groom so as to make the desired wedding party. Problems that occur Data management and Marketing Services wedding organizer in Resta Wedding Organizer is still done manually. Customers must come to the location of the wedding organizer directly to place an order, this is due to media limitations. Meanwhile wedding organizer marketing is still done through people to people, through brochures and simple social media that still impactless widespread dissemination of information. So we need other marketing media better and can reach many people.The purpose of this study is to build a Wedding Planner information system designed using web application-based information technology that has a purpose to simplify the ordering process and further expand the distribution of marketing information and sales of Wedding Planner services. Wedding Planner is using PHP programming language and MySQL as a Database and for this system development method using prototyping method which consists of the process of analysis, design, application development, evaluation and results. The Wedding Planner information system is very helpful for brides and grooms who find it difficult to plan their wedding party and want to make it easier to make reservations. With the development of technology at this time the Wedding Organizer has begun to replace the manual process into the online process with a web-based Wedding Planner information system.
Online Learning Service Application Design Using Flutter and Laravel Framework

Bimbel Prisma is an elementary-high school level tutoring institution located at Jalan Pelopor Blok O8 RT.007 RW.011, Tegal Alur District, Kalideres Village, West Jakarta. Prisma Bimbel was founded because of the large number of requests from the community who wanted their children who occupy elementary to high school seats to improve their performance in school. The use of the Flutter framework as a Front-End Mobile Application and this application has a Video Conference using Flutter making application design easier with a collection of widgets that have been provided and can be customized as needed and have high performance which will make the application more comfortable to use. By using the Laravel framework, it makes backend design in the form of an Application Programming Interface (API) easier and saves time by using the Restful Controller feature and has strong security in protecting the backend so that user data privacy becomes more secure. With the online learning service application, it is able to improve the learning process for students by studying material or answering questions that can be accessed via the internet so that it helps improve the quality of education and is able to improve the performance process for staff and teachers without having to come to the office because it is online based but can be productive. in handling administrative services or learning activities.
MODIFICATION OF POLLARD RHO ALGORITHM USING NEGATION MAPPING

El Gamal encryption was introduced in 1985 and is still commonly used today. Its hardness is based on a discrete logarithm problem defined over the finite abelian cyclic group group chosen in the original paper was but later it was proven that using the group of Elliptic Curve points could significantly reduce the key size required. The modified El Gamal encryption is dubbed its analog version. This analog encryption bases its hardness on Elliptic Curve Discrete Logarithm Problem (ECDLP). One of the fastest attacks in cracking ECDLP is the Pollard Rho algorithm, with the expected number of iterations where is the number of points in the curve. This paper proposes a modification of the Pollard Rho algorithm using a negation map. The experiment was done in El Gamal analog encryption of elliptic curve defined over the field with different values of small digit . The modification was expected to speed up the algorithm by times. The average of speed up in the experiment was 1.9 times.
THE ORDINAL LOGISTIC REGRESSION MODEL WITH SAMPLING WEIGHTS ON DATA FROM THE NATIONAL SOCIO-ECONOMIC SURVEY

Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables. The parameter estimation of this model uses the maximum likelihood estimation having assumption that each sample unit having an equal chance of being selected, or using simple random sampling (SRS) design. This study uses data from the National Socio-Economic Survey (SUSENAS) having two-stage one-phase sampling (not SRS). So, the parameter estimation should consider the sampling weights. This study describes the parameter estimation of the ordinal logistic regression with sampling weight using the pseudo maximum likelihood method, especially in SUSENAS sampling design framework. The variance estimation method uses Taylor linearization. This study also provides numerical examples using ordinal logistic regression with sampling weight. Data used is 121,961 elderly spread over 514 districts/cities. Testing data (20%) is used to obtain the accuracy of the prediction results. The variables used in this study are the health status of the elderly as the response variable, and nine explanatory variables. The results of this study indicate that the ordinal logistic regression model with sampling weights is more representative of the population and more capable to predict minority categories of the response variable (poor and moderate health status) than is without sampling weights.
A Privacy-Preserving Distributed Medical Data Integration Security System for Accuracy Assessment of Cancer Screening: Development Study of Novel Data Integration System

Big data useful for epidemiological research can be obtained by integrating data corresponding to individuals between databases managed by different institutions. Privacy information must be protected while performing efficient, high-level data matching.Privacy-preserving distributed data integration (PDDI) enables data matching between multiple databases without moving privacy information; however, its actual implementation requires matching security, accuracy, and performance. Moreover, identifying the optimal data item in the absence of a unique matching key is necessary. We aimed to conduct a basic matching experiment using a model to assess the accuracy of cancer screening.To experiment with actual data, we created a data set mimicking the cancer screening and registration data in Japan and conducted a matching experiment using a PDDI system between geographically distant institutions. Errors similar to those found empirically in data sets recorded in Japanese were artificially introduced into the data set. The matching-key error rate of the data common to both data sets was set sufficiently higher than expected in the actual database: 85.0% and 59.0% for the data simulating colorectal and breast cancers, respectively. Various combinations of name, gender, date of birth, and address were used for the matching key. To evaluate the matching accuracy, the matching sensitivity and specificity were calculated based on the number of cancer-screening data points, and the effect of matching accuracy on the sensitivity and specificity of cancer screening was estimated based on the obtained values. To evaluate the performance, we measured central processing unit use, memory use, and network traffic.For combinations with a specificity ≥99% and high sensitivity, the date of birth and first name were used in the data simulating colorectal cancer, and the matching sensitivity and specificity were 55.00% and 99.85%, respectively. In the data simulating breast cancer, the date of birth and family name were used, and the matching sensitivity and specificity were 88.71% and 99.98%, respectively. Assuming the sensitivity and specificity of cancer screening at 90%, the apparent values decreased to 74.90% and 89.93%, respectively. A trial calculation was performed using a combination with the same data set and 100% specificity. When the matching sensitivity was 82.26%, the apparent screening sensitivity was maintained at 90%, and the screening specificity decreased to 89.89%. For 214 data points, the execution time was 82 minutes and 26 seconds without parallelization and 11 minutes and 38 seconds with parallelization; 19.33% of the calculation time was for the data-holding institutions. Memory use was 3.4 GB for the PDDI server and 2.7 GB for the data-holding institutions.We demonstrated the rudimentary feasibility of introducing a PDDI system for cancer-screening accuracy assessment. We plan to conduct matching experiments based on actual data and compare them with the existing methods.
Pengaruh Kualitas Sistem Informasi Sumber Daya Manusia, Pelatihan dan Pengembangan terhadap Kinerja Karyawan melalui Disiplin Kerja pada PT. Era Mulia Abadi Sejahtera

The aims of this study is to analyze the effect of the quality of human resource information systems, training and development, and work discipline on employee performance. The technique of analysis uses a linear regression analysis. The population of this sample was 116 workers. The findings have shown the quality of human resource information systems and training and development will enhance the discipline of work. This ensures that the quality of human resource systems accompanied by the seriousness of the workers in training and development will strengthen work discipline. Therefore, the quality of human resource information systems and training development will enhance the employee performance. Moreover, the work discipline mediates the impact of the quality of human resources information system as well as training and development on employee performance.
Physicochemical Properties, Total Concentration, Geochemical Fractions, and Health Risks of Trace Metals in Oil-Bearing Soils of Akwa Ibom State, Nigeria

The physicochemical properties, total metal, metal fractions, and related human health problems of metals in oil-bearing soils of Akwa Ibom State were appraised using standard procedures. The study aimed at assessing the effects of crude oil and related activities on the properties of soil including metals (Cd, Cr, Ni, Pb and V), their fractions and associated health problems. Results showed that, levels of parameters were higher in the soils examined than in the control. The entire metals examined, apart from Cd, were within their acceptable limits however; higher than the limits for agricultural soils. Cd and Cr existed mainly in the readily available fraction, while Ni, Pb, and V occurred mainly in the reducible fraction in the studied soils. Conversely, these metals, except Cd, occurred principally in the inert fraction in the control. V/Ni ratio confirmed the soils as oil-forming continents and of organic matter origin. The natural factor, crude oil, and oil-related activities were major sources of soil contaminants. Anthropogenic proportions of metals were more in the soils investigated than in the background soil. The locations were contaminated with metals. Daily intake rates of metals were within their recommended doses except for Pb. The pollution status of the oil-bearing soils and the related human health risks have been revealed.
Maximizing English Speech on YouTube Videos to Enrich Students’ Vocabulary

Learning vocabulary is essential in language learning since it will help students to master a language as well as communicate with others effectively using various words. This classroom action research, which followed Kemmis and McTaggart’s model, aimed to investigate the effectiveness of utilizing English Speech on YouTube Videos to enrich students’ English vocabulary. The participants of this study were the seventh graders of the Language Class in SMP Muhammadiyah Banjarbaru. The results revealed that maximizing English Speech on YouTube Videos can effectively boost students’ vocabulary building since the scores of the pre-test, post-test 1, and post-test 2 showed different and significant improvements. Moreover, the classroom environments and the students’ enthusiasm improved as well. The classroom became conducive and interactive, and the students were excited and enthusiastic and genuinely paid attention to the videos and the teacher’s explanations.
LANGUAGE AMBIGUITY IN EFL LEARNERS’ NARRATIVE TEXTS: A SEMANTIC DISCOURSE ANALYSIS

This qualitative study investigates the ambiguity in five EFL learners’ narrative texts. This study reveals that the narrative texts contain lexical and syntactic ambiguities. Lexical ambiguity can happen because of polysemy and homonymy. In terms of syntactic ambiguity, ambiguous languages occur in the surface and deep structure of the sentences for various reasons, such as coordinator, gerund, and adjectives followed by an infinitive. Luckily, the lexical and syntactic ambiguities do not give the readers much trouble comprehending the texts if the context is clear. The context, particularly the preceding and following sentences, helps the readers understand the text. Sentences with ambiguous words or ambiguous structures can be clearly delivered as long as the writers are able to provide a clear context. Additionally, the writers in this present study tend to intentionally use ambiguous words in their sentences in order to use the words metaphorically and to tell the story in a more artistic way since the purpose of the narrative text is to entertain the readers.
Exploring EFL students’ motivation in essay writing through writing beliefs, self-efficacy, and attitudes: a case from Papua, Indonesia

Although writing motivation has been widely investigated, limited research has focused on the three elements of internal motivation: writing beliefs, self-efficacy, and attitudes, let alone in the Papuan context. This study explored 32 Papuan EFL undergraduate students' internal motivation in essay writing through a purposive sampling technique. This research adopted a mixed method of quantitative and qualitative data. In collecting the quantitative data, a questionnaire was distributed through the Google Forms platform and analyzed using SPSS 26.0. Meanwhile, semi-structured interviews were conducted to gain qualitative data and analyzed by reading the data transcription and listening to the data recording three times to gain more valid information about the students' internal motivation in writing. The findings revealed that most EFL students had realized the importance of writing (WB1; M=3.63). Some students also demonstrated self-efficacy as writers (SE1; M=3.67), while others still felt anxious during writing (SE4; 3.60). Furthermore, some participants had created a positive attitude toward writing, whereas others did not. This research offers pedagogical implications for the lecturers and educators to promote the importance of writing to their students, encourage them to increase their self-efficacy as writers, and create positive attitudes toward writing.
INFORMATION TECHNOLOGY AND REMOTE AUDIT DURING COVID 19 PANDEMIC

This study aims to analyze the role of information technology to remote auditing during the covid 19 pandemic. Covid 19 has changed the work style of auditors in the manual/traditional audit process to remote audit, as a solution in dealing with the impact of the pandemic. This condition demands that the auditor profession in preparing or dealing with remote audits will be closely related to the use of information technology. This research method is literature review. The data is obtained from articles uploaded on Google, Google Scholar and Sciencedirect with the keyword: remote audit and information technology. After collecting, a descriptive analysis was carried out to answer the research objectives. The result is that during the COVID-19 pandemic, remote auditing has become a solution to the impacts of covid 19, such as social distancing. Auditors in carrying out remote audits need information technology facilities in the audit process. Information technology has a vital role in remote auditing from planning, working papers, documentation, communication and supervision. Information technology is an integral part of remote auditing.
Biological collections as an element of research infrastructure

The article analyzes the issue of legal regulation of biological collections as an object of research infrastructure. The problems associated with the fixation and delimitation of organizational and legal form of subdivisions of scientific organizations, depending on the functions performed, are also considered. On the basis of analysis of doctrinal provisions the classification of collections is proposed. A comparative analysis of the draft law “On scientific and scientific-technical activity” and normative legal acts regulating the development of research infrastructure in the European Union has been carried out. The necessity of allocating biological resources centers as a separate infrastructure object is explained.
Interest-Free Finance Model by Using Blockchain-Based Company Tokens: Research on Digital Turkish Lira (DTL) and Borsa Istanbul with Technology Acceptance Model (TAM)

Since technology benefits people in many areas, its effectiveness is increasing day by day. For this reason, many products and services have been digitized and made available to people. Especially in the last period, with the development of blockchain technology, there has been a significant change in the financial sector. Blockchain technology, which offers a decentralized transaction network, has contributed significantly to the development of digital currencies. In this context, the Central Bank of the Republic of Turkey (CBRT) started to work on Digital Turkish Lira (DTL) in 2021. In this context, it will enable the company tokens, which are proposed to be issued as a sub-unit of DTL, which is planned to use blockchain technology in its infrastructure, to be used in the financing of businesses, while also allowing investors to invest in Turkish Lira assets. In the research, it has been suggested that the company tokens to be issued under DTL can be traded on the Borsa Istanbul (BIST) and invested, as well as the relevant tokens can be traded. The proposed model has been examined within the scope of the Technology Acceptance Model (TAM), which is frequently used in the research of technological innovations. The analysis process of the research was carried out with Structural Equation Modeling (SEM). The analysis of the research was carried out with the Smartpls 3 package program. Hypotheses H3, H5, and H8 were rejected and other hypotheses were accepted. When the results of the research were analyzed, it was determined that the factors affecting the intention to use the proposed company tokens were parallel to the literature. As a result of the analysis, it has been reached that the attitude and intention towards the use of company tokens in the proposed model are positive.
PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI JAWA TENGAH MENGGUNAKAN METODE REGRESI RIDGE DAN REGRESI STEPWISE

The Human Development Index (HDI) is an important indicator in measuring the success of national development. Central Java with a high population can be considered as an obstacle and a driver of development. To find out the factors that affect HDI, it is necessary to make a model. One of the statistical methods that can be used is multiple linear regression analysis. However, in modeling multiple linear regression there are assumptions that must be met, namely linearity, normality, homoscedasticity, non-autocorrelation, and non-multicollinearity. If the non-multicollinearity assumption is not met, then another alternative is needed to estimate the regression parameters. Several methods that can be used are ridge regression and stepwise regression methods. The best model selection is done by looking at the smallest Mean Square Error (MSE) value. In this study, ridge and stepwise regression were applied to Central Java HDI data in 2021 and the factors that influence it, namely life expectancy at birth, expected years of schooling, average length of schooling, per capita expenditure, percentage of poor people, and unemployment open. Based on the Variance Inflation Factor (VIF) value of more than 10, it can be concluded that there is a multicollinearity violation. Modeling with stepwise regression produces the best model, with the smallest MSE value. The R square model value of 0,99 indicates that the model is included in the criteria for a strong model.
Teaching English Strategy for Young Learners

AbstractTeaching English Strategy for young learners.Â In teaching and learning, teacher must have strategies in every subject including English lessons, the teacher must have strategies in teaching to support the learning process and achieve learning goals especially for young learners because they have different characteristics from adults, she must have strategies suitable for young learners. This research aimed to find out the strategies of teaching English to young learners at MIN 2 Kutai Kartanegara. The research design was descriptive qualitative. The subject of this research is an English teacher at MIN 2 Kutai Kartanegara. The data were obtained from interviews and documentation. Then, the data were analyzed using an interactive model of Miles, Huberman, and Saldana condensation. The technique of data validity uses triangulation data. Based on the data results, this research can be concluded that the teacherâ€™s strategies for teaching English to young learners at MIN 2 Kutai Kartanegara were teaching planning, implementation of strategy, and teaching Evaluation. The teacher prepares the lesson plan, materials, media, and methods in teaching planning. Moreover, she implemented teaching English strategies by using demonstration, choral drill, look-and-say, pictorial illustration, verbal illustration, association, question and answer, narration, and read-and-say. She also evaluated teaching English through formative and summative evaluation.Keywords: Teaching English, Strategy, Young Learners.
A Study on the Development of Vocational Education Training Model Using Metaverse Realistic XR Content

AR and VR , which have been developed for many years, have emerged as the main educational delivery environment owing to the transition to non-face-to-face content delivery due to COVID-19. Even after COVID-19 has subsided, the use of AR and VR continue to increase owing to digital transformation in the industry and various safety problems. In particular, owing to the introduction of the metaverse platform, existing AR and VR contents have been recognized as metaverse contents, and their diverse usage has been attempted.&#x0D; However, limitations in vocational education and training restrict their usage. In this study, the use of AR and VR for education is examined and a training model is proposed for their application to vocational education at polytechnic institutes.