Reviewerly/exHarmony huggingface dataset:
Optimasi Seleksi Fitur Information Gain pada Algoritma Naïve Bayes dan K-Nearest Neighbor

There was an increase in the number of late payments of tuition fees by 3,018 from a total of 5,535 students at the end of 2020. This study uses the Python library which requires data to be of numeric type, so it requires data transformation according to the type of data in the study, data that has a scale is transformed using an ordinal encoder, and data that does not have a scale is transformed using one-hot encoding. The purpose of this study was to evaluate the performance of the Naïve Bayes algorithm and K-Nearest Neighbor with a confusion matrix in predicting late payment of tuition fees at UMKT. The dataset used in this study was sourced from the financial administration bureau as many as 12,408 data with a distribution of 90:10. Based on the results of the calculation of the selection of information gain features, the best 4 attributes that influence the research are obtained, namely faculty, study program, class, and gender. The results of the evaluation of the confusion matrix that have the best performance using the Naïve Bayes with information gain algorithm obtain an accuracy of 55.19%, while the K-Nearest Neighbor with information gain only obtains an accuracy of 50.76%. Based on the accuracy results obtained in the prediction of late payment of tuition fees by using attributes derived from information gain, it influences increasing the accuracy of Naïve Bayes, but the use of the information gain attribute on the K-Nearest Neighbor algorithm makes the accuracy obtained decrease.
Evaluasi Kesuksesan Penerapan Sistem Elektronik Kinerja (E-Kinerja) Menggunakan Enhanced Information System Success Model di Kecamatan Benda Tangerang

E-Kinerja Benda District Tangerang City is an E-Government in the form of an Employee Performance Management Information System in charge of recording and reporting the performance of all employees in the government environment. The system should aim to simplify employee performance management and measure the efficiency and creativity of employees at work, in its implementation, there are still problems that occur. Many employees complain about the system, the implementation of the E-Kinerja system either directly or indirectly is considered troublesome, the internet network is not widely connected, the presence of technology devices (computers) is limited, and the lack of employees in understanding and utilizing the E-Kinerja system, and the lack of attendance and knowledge of information about IT as part of the supporting components in the process of presenting the information. So that an evaluation of the application of E-Kinerja is carried out, with the aim of this study being able to measure evaluation to prove the success rate of implementing E-Kinerja-based performance evaluations in Benda District, Tangerang City and knowing what factors or variables influence it. This study evaluates success using the Enhanced Information System Success Model with 7 evaluation variables: information quality, system quality, service quality, user satisfaction, trust, use, and net benefits. This study will use a qualitative and quantitative data approach through observation, interviews, literature studies, and questionnaires where the total respondents obtained are 62 respondents with PLS-SEM data analysis and SmartPLS 3.3 assistance. Based on the results of the research conducted, it is proven that from the 14 hypotheses proposed there are 5 hypotheses accepted while 9 other hypotheses are rejected. This evaluation also produces recommendations from the seven variables used which contain alternatives to improve and increase the success of the implementation of E-Kinerja.
Comparative analysis of the Cycles and Eevee graphics engines on the example of rendering 3D models of archaeological artifacts

The purpose of the article is to control the comparative analysis of the two that take place in the Blender application. These are the Eevee and Cycles engines. The analysis will include elements such as: applicable-possible tools, measurement possibilities and the provision of visual services. Perform research prepared research in the form of a desktop computer with a clean system.
Comparative analysis of the effectiveness of OWASP ZAP, Burp Suite, Nikto and Skipfish in testing the security of web applications

Application security is one of the key aspects necessary for its proper functioning. Ensuring security consists primarily in conducting regular penetration tests and checking the vulnerability of the application to various types of attacks. The recommended solution is to use tools dedicated to detecting security holes in applications. Choosing the right tool from among those available on the market can be difficult. This article presents a comparative analysis of the effectiveness of popular application security testing tools in terms of the number of detected vulnerabilities. The analysis was based on the obtained results of scanning two Internet applications containing a number of security vulnerabilities, used to learn ethical hacking.
Pengenalan Tulisan Tangan Huruf Latin Bersambung Menggunakan Local Binary Pattern dan K-Nearest Neighbor

There are 26 Latin letters in Indonesia, 5 of which are vowels and 21 consonants. This study will translate handwriting with a Latin object using the K-Nearest Neighbor method with the Local Binary Pattern extension. The research is being done with a focus on experimentation using a few methods that have already been discussed. Concatenated Latin letters have a few variations that depend on the work's author, so research will be conducted to identify cursive Latin letters based on these variations. Each of the 30 respondents wrote 26 capital letters and 26 lowercase letters on paper, which was then scanned to provide the image data. Black, blue, and red pens were used to write by every ten responders. The recognition procedure is broken into two halves, capital and non-capital letter recognition using 780 picture datasets each. In the study, k-fold cross-validation is used, with k = 6. The best value was reached at k = 7 with 29.49 percent accuracy, 33.88 percent precision, recall 33.46 percent, and F1-score 27.65 percent according to the research utilizing KNN with values k = 3, 5, and 7. and for recognizing non-capital characters, the best result was found at k=3 with accuracy, precision, recall, and F1-score of 26.28, 27.27, and 22.7%, respectively.
Effectiveness of Localized English Reading Materials in Enhancing the Reading Skills of the Grade two Pupils

Students today are 21st-century learners who prefer digitization and reading is not their top priority, teachers at the same time should meet the needs of these students. English teachers, specifically in reading skills, should have the capability and knowledge to craft methods to use in dealing with students who have difficulty with reading. This study aimed to determine the effectiveness of localized english reading materials in enhancing the reading skills of grade two pupils. The reading skills of the pupils in this research were determined through match pairing. The participants came from the total population of 32 pupils from section orange in grade two, who were grouped into two through match pairing based on their pretest results. There was 16 match paired pupil-participants included in this study. These pupil-participants were the advisees of the researcher for the school year 2021-2022 in modular distance learning. Another group of respondents were the 20 teacher-validators who assessed the crafted localized reading materials using the survey questionnaire. The pretest showed that both groups are at the beginning level in terms of their reading skills. The findings of this study indicated that the experimental group got much higher mean scores than the comparison group on their formative and post-test. The computed t-values for lesson 1 gained a t-value of 2.368, lesson 2 with a t-value of 2.885; lesson 3 with a t value of 5.085; and lesson 4 having a t-value of 8.259 showed extremely significant differences between the formative means scores of the participants. A similar result found a highly significant difference between the post-test mean scores performance of the experimental group and the comparison group with a t-value of 3.966 and a p-value less than 0.01 level of significance. All results indicated the rejection of null hypotheses and acceptance of alternative ones. These findings implied that teachers must use tactics and practices such as learning by doing, manipulative, and practical learning to integrate localization and contextualization into the teaching-learning process.&#x0D; Keywords: localized English reading materials, reading skills, teaching-learning process
Examination of the Role of Family Socioeconomic Status and Parental Education in Predicting English as a Foreign Language Learners' Receptive Skills Performance

There is a stereotype of a correlation between family socioeconomic status and parental educational background with the student's achievement. Therefore, this study aims to know in-depth roles. Examine 60 students of Melati Junior High School Samarinda in their performance on reading and listening comprehension tasks. There is a significant relationship between SES and parents' educational background using the correlational method, non-experimental. Nevertheless, it s not always that students with low socioeconomic and parents' educational backgrounds get low scores and vice versa. Likewise, students with high educational backgrounds of their parents do not necessarily get high grades in school. Several factors revealed that SES and Educational background is the main predictor of academic achievement.
Digital Etiquette: Educational Strategies

Introduction. The modern digital reality imposes its own requirements to the modern paradigm of knowledge acquisition, which with necessity objectivizes the role and importance of social-humanitarian and educational components of the educational process, including through teaching digital etiquette – behavioral culture in practices, networking. The article analyzes the specifics of educational strategies in relation to teaching digital etiquette within school and higher education.Methodology and sources. The paper is based on the application of axiological, interdisciplinary, institutional and systemic approaches to the consideration of digital etiquette learning processes depending on the specifics of each subsystem of the educational process, in particular school and higher education. The research is based on the materials of domestic and foreign sources, scientific publications and websites. In particular, papers of such specialists as D. Stillman, Jo. Stillman, P. Doherty, V. Shi, O. Lukinova, R.I. Mamina and many others are analyzed.Results and discussion. Based on the presented in this article analysis of the specific educational strategies of such institutional structures as school and WSB, the specificity of digital etiquette learning in relation to each of these subsystems of the educational process is analyzed, the main trends of digital etiquette as a digital humanistic knowledge are determined. The main trends include: active attempts to introduce digital etiquette into the educational process, as well as the emergence of new strategies for teaching digital etiquette to generation Z, as the main subject of learning in the modern educational environment within school and higher education.Conclusion. The new realities actualize the role and importance of behavioral culture in the digital space of modern society; first, it concerns the representatives of the young generation – generation Z, which has defined personal freedom as the main value in the practices of their existence. In this regard, the role and importance of the educational component of the modern educational process, an important component of which is the teaching of digital etiquette in the framework of school and HS-education, is increasing. In this case we are talking about different educational strategies in school and HS. In general, regardless of the specifics of educational subsystems and their strategies, teaching digital etiquette is the teaching of digital humanities knowledge, which is a unity of educational and educational, which with necessity reflects the challenges of the new era.
IMPLEMENTASI KEBIJAKAN STANDAR PELAYANAN MINIMAL PENDIDIKAN SEKOLAH MENENGAH PERTAMA DI KABUPATEN BANYUMAS

This research entitled "Implementation of Minimum Service Standards for Junior High School Education in Banyumas Regency". This research based result the achievement of MSS Junior High School in Banyumas Regency which is still low, especially the availability of facilities and infrastructure and the availability. Therefore, the need for research on the implementation of MSS policy of junior high school education based on the implementation theory of Van Meter and Van Horn. The purpose of this research is to analyze and describe how the implementation of policy of minimum service standard of junior high school in Banyumas Regency. This research used qualitative research method. The technique of selecting informant used purposive sampling technique. Methods of data collection used interview, observation, and documentation. The result obtained shows that implementation of SPM education has not been implemented maximally according to the theory Implementation of Van Meter and Van Horn policy. This is evidenced by the unavailability of standard and target of MSS policy and the absence of SOP made by Banyumas District Education Office. human resources in terms of competence less support, financial resources usage not maximal, least communications, bad attitude executor, and least support from external environment.
An inverse artificial neural network algorithm for retrieval of sunshine hours from ground-based global solar irradiation measurements

Availability of meteorological parameter values is important in applications that require solar irradiation. Meteorological parameters such as sunshine hours are best provided by measuring equipment mainly stationed at weather stations. The cost of purchasing the measuring equipment, and setting up and maintaining weather stations is enormous and cannot be easily afforded by many developing countries like Uganda. Furthermore, in Uganda, we have some weather stations which have been measuring global horizontal solar irradiation for quite some time but lacked sunshine duration sensors, and at some others, the sunshine measuring equipment malfunctioned. In this work we present an inverse artificial neural network algorithm that predicts sunshine hours based on horizontal global solar irradiation, the algorithm caters to cases where global horizontal solar irradiation is present but sunshine hour measuring equipment is missing or malfunctioned. A radial basis function neural network (RBF-NN) was trained for forward computation of global horizontal solar irradiation from sunshine hour values. The inverse modelling algorithm employs multidimensional unconstrained non-linear optimization to retrieve sunshine hours. The correlation coefficient (r) between the measured sunshine hour values and those predicted by the inverse artificial neural network algorithm was found to be 0.924. The average value of the ratios of the inverse artificial neural network algorithm computed values to the sunshine duration sensor measurements was 1.043. The algorithm predicted sunshine hour values with a mean bias and relative root mean square error of 0.043 and 0.394, respectively. The algorithm developed provides an affordable, fast and reliable method for determining sunshine hour values based on global horizontal solar irradiation. However, sunshine hour values prediction for low values of global horizontal solar irradiation was less precise, and this could be attributed to high levels of cloudiness. It is recommended that an inverse algorithm that retrieves sunshine hours under cloudy conditions be constructed
Origin and mineralization significance of the ore-hosting Guishan Formation at the Laowan Gold Deposit in Qinling-Dabie Orogen, Central China

Mesozoic lode-gold deposits in the Qinling orogen are important gold reservoirs in China.The Laowan gold deposit is one of the largest one in this region.The ore bodies are fault-controlled, sulfide-rich lodes and disseminations that hosted in amphibolite and mica schist of the Guishan Formation intruded by a Cretaceous pluton at ca. 120 Ma.Long-standing controversies are whether the Guishan Formation provided ore-forming materials or just create a favorable setting for gold deposition.Here, we discussed the mineralogy and geochemistry of this rock formation to pinpoint its contributions to gold mineralization.Studies on metamorphic petrographic and whole-rock geochemical characteristics of the Guishan Formation were carried out to reveal the classification and the tectonic environment of metamorphic protolith.In-situ race element and sulfur-lead isotopic geochemical characteristics of pyrites from the ore samples are compared with those of the Guishan Formation to explore their relationships.Results shows that the amphibolite has tholeiite-like major and trace element compositions with a continental affinity, and the mica schist has geochemical characteristics similar to sedimentary rocks deposited in active continental forearc margin.Significantly enrichment of Au (avg.13 and 22 ppb), Ag (0.14 and 0.17), As (7.81 and 9.26), and Sb (0.47 and 0.39) contents (in ppm) in amphibolites and mica schists of the Guishan Formation suggests they might be a potential ore-forming material source of the gold deposit.The high Ni content (avg.103 and 38.6 ppm), low Co/Ni ratios (0.41 and 0.5) and δ 34 S values (0.73-2.05‰ and 1.83-2.98‰) in pyrites from the pre-ore and early main-ore stages resemble those from the Guishan Formation (Ni=283 ppm, Co/Ni=0.4,δ 34 S=-0.1-+2.67‰).The similar Pb isotopic composition between the Guishan Formation and pyrite from the early stage of the gold mineralization also suggests a genetic relationship between the two.With the late mineralization stage, magmatic hydrothermal fluids dominated the gold mineralization.
AI System Design for Robotic Hand to Play the Piano

Robotic and Artificial Intelligent (AI) have been introduced as a key factor for industry revolution4.0. Many industries, such as manufacturing, agriculture, logistics, supply chain, and so on, are transformed and applied robotic and AI to enhance productivity and reduce cost. AI in creative work is very challenging, especially in music. This paper presents a system to enable the robotic arm to play piano notes with minimal errors. We used the knowledge of Optical music recognition (OMR), Automatic music transcription (AMT), Music source separation (MSS), and the elimination of robot arm cycle times problems for creating this system. The robotic arm used in testing with this system was LEGO. It can perform 4 functions. The first function is to play piano notes from sheet piano using Sheet Vision and Tesseract-OCR. Note reading accuracy is 21.36%, and note reading accuracy with note duration is 13.46%. The second function is to play the piano like a piano sound separate from a music file using Spleeter and Onsets and Frames. Piano note accuracy is 58.32%, piano note onset time error is ± 0.17, and piano note duration time error is ± 0.65. The third function is to play piano notes from real-time piano sounds using Onsets and Frames Real-time mode. The last function is to play the piano notes from the brain waves by comparing the frequency of the brain waves with the frequency of the piano notes. The design and experimental results are explained in this paper.
Analyzing Tasks in Middle School Mathematics Textbooks under 2015 Revised Curriculum from the Perspective of Mathematical Modeling

This study aims to investigate opportunities to experience mathematical modeling process in tasks with realistic context in middle school mathematics textbooks under the 2015 revised national curriculum. Analyzing 10 different kinds of middle school mathematics textbooks based on the analysis frame, we found that tasks with relevant and essential context were quite less than tasks with camouflage context. For mathematical modeling process in the tasks with relevant and essential context, there were not enough opportunities to experience mathematical modeling process given in mathematics textbooks.&#x0D; Particular stages of mathematical modeling process were heavily provided and there was no task dealing with the whole mathematical modeling process. And there was huge variation among mathematics modeling of tasks across textbooks, grade levels, and content areas. This study offers meaningful implications for the future research and development of tasks in mathematics textbooks.
Meningkatkan kemampuan berbicara Bahasa Inggris anak melalui cerita bergambar

In learning English, speaking aspect has an important role when communicating. The development of children's language skills underlies the ability to read. Tthe more they read, the easier it will be for children to understand writing, and the more fluent their speaking skills will be. However, in developing their English speaking, children have difficulty because of the limited vocabulary. Heving difficulty in expressing ideas and lack of courage to speak because they are afraid of being wrong are factors that prevent children from speaking English well. In addition to the factors mentioned above, internal factors, such as the lack of seriousness of children in learning English itself as well as inadequate learning methods and lack of media are obstacles for children in learning English. This is felt by the children of TPA RT 004/RW 04 Pabuaran Tumpeng Tangerang. The low interest in reading in the environment where they live is the basis for the lack of development of language skills, especially English. Therefore, the Community Service team (PKM) Universitas Pamulang (UNPAM) offers a problem solution in the form of teaching English with the method of storytelling by using digital media with illustrated stories in English. From the results of the PKM activities at Taman Alquran Pabuaran Tumpeng with a series of activities, it seems that the children are happy, interested, and active. If proves that the use of storytelling method through pictures can improve children's English speaking skills.
Back to Futures

Common approaches to concurrent programming begin with languages whose semantics are naturally sequential and add new constructs that provide limited access to concurrency, as exemplified by futures. This approach has been quite successful, but often does not provide a satisfactory theoretical backing for the concurrency constructs, and it can be difficult to give a good semantics that allows a programmer to use more than one of these constructs at a time. We take a different approach, starting with a concurrent language based on a Curry-Howard interpretation of adjoint logic, to which we add three atomic primitives that allow us to encode sequential composition and various forms of synchronization. The resulting language is highly expressive, allowing us to encode futures, fork/join parallelism, and monadic concurrency in the same framework. Notably, since our language is based on adjoint logic, we are able to give a formal account of linear futures, which have been used in complexity analysis by Blelloch and Reid-Miller. The uniformity of this approach means that we can similarly work with many of the other concurrency primitives in a linear fashion, and that we can mix several of these forms of concurrency in the same program to serve different purposes.