Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Penjualan Ayam Asap Pada iSmoked Berbasis Web Menggunakan Metode RAD

One of the foods of animal origin is chicken. Chicken is the animal that is most often consumed by humans, one of the processed chicken is smoked chicken. Smoked chicken is a product sold by iSmoked, iSmoked is located in the city of Jakarta, precisely on Jalan Manunggal II, South Petukangan. Because people rarely know about the existence of this smoked chicken shop and the rapid development of information systems entering the realm of business, therefore an information system is needed as a medium that can help solve shop owner problems. From the problems cited above, the purpose of this study is to build a sales information system that utilizes a website as a means of sales and promotion. This website was created using HTML and PHP programming languages and uses a framework, namely Codeigniter and Bootstrap so that the web display becomes responsive and attractive and can be opened on all types of browsers. The design of this information system uses the Rapid Application Development (RAD) method and the implementation of the test uses several methods such as interviews and system observations. With the design of this information system, the owner can sell their products with other media.
UPAYA MENINGKATKAN MINAT BACA DIKALANGAN REMAJA DESA WIROBITING MELALUI LAYANAN BIMBINGAN KELOMPOK

The purpose of this study was to determine interest in reading among adolescents in the village of Wirobiting by increasing interest in reading through group guidance services. The method used in this research is using qualitative research methods with data collection methods in the form of interviews and observations. The study was conducted on adolescents aged around 14-17 years. data obtained from interviews. for data analysis using descriptive method. Based on the results of the study, it can be concluded that several factors causing the low reading interest of teenagers in Wirobiting Village are environmental factors, family factors, peer factors, and facilities factors. the use of group guidance services in the study was able to increase reading interest among village youth.
Data transmission networks modeling process

International scientific conference «Interaction between science and technology in modern conditions» : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : “Baltija Publishing”, 2022. 128 pages.
IMPLEMENTATION OF KAHOOT ONLINE AND GOOGLE FORM TOWARD STUDENTS’ VOCABULARY COMPREHENSION ENHANCEMENT

Vocabulary is one of the fundamental components learned in language learning.The teachers should prepare good English materials to support the students' learning activities during vocabulary instruction.Kahoot Online application and Google Form can be used as learning alternative to facilite the process of vocabulary instruction.This study was intended to find out (1) the students' vocabulary achievement after being treated with Kahoot Online and Google and (2) the significant difference in implementing Kahoot Online Application and Google Form toward students' vocabulary comprehension enhancement.The researcher used quasi-experimental method to conduct the research.The population of this study were all elementary students of SD Manggala in academic year 2020/2021.All fourth grade students had been involved in this study as the sample.The sample of this study used purposive sampling.The independent sample t-test results showed that the value significance (2-tailed) 0.096 was higher than the value significance 0.05.While, the value of t-obtained (1.319) was lower than t-table (1.6909) with degree of freedom was 34.In other words, there was no any significant difference on vocabulary comprehension between the third grade students of SD Manggala who were taught by using Kahoot Online Application strategy and Google Form (Vocabulary Quiz).
PENELUSURAN ALUMNI DALAM RANGKA PERSIAPAN AKREDITASI INTERNASIONAL PRODI-PRODI DI FIO UNESA

Tracer Study (TS) is an effective media used to track the absorption of alumni of a university in the world of work and become an illustration of the existence of a university. The purpose of this study was to obtain alumni data for the 2019 and 2020 graduate years. This research was a descriptive quantitative type which aims to provide an overview of the current situation and work of alumni. The instrument used in this research is the google form which consists of two types of open and closed questionnaires. The sample of this research was alumni of the Faculty of Sports Science and will be mapped for each generation of alumni. The sampling technique used is quota with a target number of 300 alumni. Data analysis was carried out to produce outputs according to the research objectives, namely calculating the average value of the percentage and probability of each answer scale in the questionnaire. The conclusion was that from 710 total alumni of 2019 and 2020 graduates who have filled 310 alumni which were divided into three study programs, namely PENJAS 73 alumni from a total of 271 graduates, PKO as many as 132 alumni from 225 graduates and IKOR 105 alumni from 214 graduates. Meanwhile, those who have not filled out the PENJAS study program are 198 alumni, PKO 93 alumni and IKOR 109 alumni. As many as 41, 47% of alumni who got a job before graduating from work and 47.49% after graduating from work. The waiting period for alumni to get a job was only before 3 months after graduation with a percentage of 62%. The majority of 2019 and 2020 FIO graduates found jobs in private companies with a percentage of 40.14%.
BiLSTM and Multiple Linear Regression based Sentiment Analysis Model using Polarity and Subjectivity of a Text

Sentiment analysis has become more and more requested by companies to improve their services.However, the main contribution of this paper is to present the results of the study which consists in proposing a combined model of sentiment analysis that is able to find the binary polarity of the analyzed text.The proposed model is based on a Bidirectional-Long Short-Term Memory recurrent neural network and the TextBolb model which computes both the polarity and the subjectivity of the input text.These two models are combined in a classification model that implements each of the Logistic Regression, k-Nearest Neighbors, Random Forest, Support Vector Machine, K-means and Naive Bayes algorithms.The training and test data come from the Twitter Airlines Sentiment data set.Experimental results show that the proposed system gives better performance metrics (accuracy and F1 score) than those found with the BiLSTM and TextBlob models used separately.The obtained results well serve organizations, companies and brands to get useful information that helps them to understand a customer's opinion of a particular product or service.
Desenvolvimento de um Sistema SCADA para uma Estação Meteorológica e Solarimétrica Usando Python

The paper presents the discrete design for tuning the proportional-integral-derivative controller by using the Smith predictor control structure.A feedback filter is inserted to enhance the control loop and to achieve the closed-loop specifications for reference tracking and disturbance rejection.Processes with different characteristics are conducted including a dominant dead time case study.Numerical and experimental simulations are carried out on various systems.The effectiveness of the dead time compensating PID tuning over the standard PID tuning methods is shown to be able to meet the desired performance and to decrease the impact of the dead time over the closed-loop stability.
Evaluation of the Budget Allocation Policy on Improving the Quality of High School and Vocational High School Education in Kutai Kartanegara Regency

This study aims to describe the implementation and evaluation of budget allocation policies for high school and vocational education in Kutai Kartanegara Regency and what obstacles are faced by the government in the education budget allocation policy. This study uses a qualitative approach with the policy evaluation method Context, Input, Process, Product (CIPP) model. Data collection in the study involved ten participants consisting of the Head of the Education and Culture Office of East Kalimantan, Member of Commission IV of the DPRD of East Kalimantan Province. Principal of SMAN 1 Tenggarong, Principal of SMAN 2 Tenggarong, Principal of SMAN 3 Kota Bangun, Principal of SMAN 2 Tenggarong Seberang, Principal of SMAN 1 Muara Badak, Principal of SMKN 3 Tenggarong, Principal of SMKN 1 Tenggarong Seberang, and Principal of SMKN 2 Sebulu. Data collection methods are observation, interviews, and documentation. The process of data analysis was carried out through the stages of reduction, presentation, and conclusion drawing as well as analysis of the evaluation of the CIPP model. The results of this study indicate that: (1) The implementation of the education budget allocation policy in Kutai Kartanegara Regency is carried out by the East Kalimantan Provincial Government through the Department of Education and Culture by allocating a budget for the education sector of Rp 2.1 trillion. The budget is used by the Department of Education and culture with 2 expenditure compositions, namely direct expenditure, and indirect expenditure; (2) Based on the evaluation, decisions can be formulated into 4, namely: decisions on planning, decisions on procedures, decisions on implementation and decisions on follow-up; (3) The obstacle faced is the limited number of activity items, especially the existence of policies that regulate budget proposals for schools which must be based on the number of students. This causes delays and delays in the construction and development of schools that have a shortage of students.
Analysis of Lexical of English Spoken by Non-Native Speakers in British Television Series Mind Your Language Session 1

In language, ambiguity is often considered a problem. Ambiguity can be found in every aspect of language whether it is written or spoken. Research in terms of ambiguity mostly found in written language, but this study conducted using spoken data. In this research, the ambiguity that is going to be studied is an ambiguity spoken by Non-native English speaker in a humoristic way. Lexical ambiguity is usually caused by homonymy and polysemy. This research aims to describe the ambiguity in the British television series Mind Your Language Season 1 and the writer focus on the lexical ambiguity and contextual meaning. The type of this research is descriptive qualitative. The technique of collecting the data is note-taking technique. The writer describes all possible meanings from the ambiguous jokes by analyzing the contextual meaning. This study conducted to find types of lexical ambiguity used by non-native English and described all possible meanings from the ambiguous jokes within the context. There are two lexical ambiguities found in this data, polysemy and homonymy. The writer found 51 words considered as lexical ambiguity. From 51 words, 15 words were classified as polysemy and 36 as homonymy. In homonymy, there are 18 words categorized in both homonyms and homophones. By analyzing the contextual meaning, the writer reveals the correct interpretation and intention of the ambiguous words. The writer also found the reason why the jokes are considered as lexical ambiguity. Finally, the writer reveals the type of lexical ambiguity used by non-native English.Keywords: ambiguity; contextual meaning; lexical ambiguity; polysemy; homonymy
UPAYA PENINGKATAN KOGNITIF ANAK DENGAN ALAT PERMAINAN EDUKATIF POHON ANGKA

This study aims to describe and find out the results of the use of number tree APE in improving children's cognitive at TK PGRI 07 Tapen. This study uses action research Arikunto's design class with 4 stages, namely: planning, implementing action, observing, and reflecting. This research is used to understand children's development and as an effort to improve children's cognitive abilities. The conclusion of this study is that children are able to count 1-10 well, can point to numbers and sort numbers, mention colors and shapes. The results of the cognitive improvement of children using the number tree educational game tool at TK PGRI 07 Tapen Bondowoso are: In the initial pre-cycle observation, the average score was 4.1 and the percentage of classical completeness was 26.1%. Based on the results of the first cycle, children's cognitive improvement with the number tree educational game tool has not been considered successful, as evidenced by twenty-three children only twelve children are categorized as complete, with an average score of 4.6 and a percentage value of classical completeness 52.2% . In the results in the second cycle, the children's learning completeness was said to be successful, as evidenced by the twenty-three children, twenty of them were said to be complete with an average score of 5.2 and the percentage of classical completeness was 86.9%.
Medical image learning by integrating image grade and kernel processing into feature extraction

Many strategies of segmentation of medical images are based on supervised voxel classification. These approaches usually work best if a training kit is given that describes the test images by line. However, complications may occur in training and analyzing results, such as due to variations in scanners, procedures, or patient classes, which follow different distributions. Even under the circumstances, weighing pictures based on delivery similarities has demonstrated a substantial improvement in inefficiency. This suggests that part of the training examples represents test information; it makes non-representative data more comparable. Thus, we analyze kernel education to minimize distinctions between training and test data and investigate an additional benefit for picture weighting in kernel learning. Furthermore, we suggest a new image measurement process, minimizing the maximum mean difference between training and test results, improving image weight, and kernel joint optimization. Brain tissue tests, a brain structure lesion, and personalization of the skin suggest that heterogeneous data efficiency significantly boosts both kernel learning and picture weighting when used separately. In this case, MMD weighting works in a manner close to the imaging approaches previously indicated. Integrating picture measurement and matrix modeling will lead to minor performance enhancements, either independently or jointly optimized.
Systematization of interdisciplinary research in the master's degree programs in architecture

The article dwells on the possibilities of processing extensive materials of interdisciplinary research in the field of architecture and suggests the methods of systematization and structuring them in the form of an active algorithm that allows you to systematically, without loss, predict the processes organized in the object, clarify the target settings, form general research patterns, expand the boundaries of the structural field without loss of the collected databases and cope with the tasks of a systematic approach.
Dimensionality Reduction Method Apply for Multi-view Multimodal Person Identification

In biometric systems, reducing the data dimensionality without compromising intrinsic information is essential in pre-processing high-dimensional data.Many states of the art use techniques to minimize the dimensionality of such data and avoid the so-called curse of dimensionality.When operating on limited datasets, supervised methods suffer from over fitting.Reducing the semi-supervised dimensionality in the next comparison or classification module can affect the recognition efficiency.This article introduces a novel multiview multimodal semi-supervised dimensionality reduction methodology that applies Multi-view Multidimensional scaling dimensionality reduction based on Gabor 2D-Log extraction features and Fuzzy Multiclass SVM classification (FMSVM), respectively.In addition, it examines its application to multi-view multimodal biometric processing, especially multi-view faces, and fingerprints.An experimental study was conducted, and the results emphasize that this methodology surpasses baseline supervised and semi-supervised methods.
Model Pembelajaran Berbasis Proyek pada Mata Kuliah Metode Optimisasi di Program Studi Matematika Fakultas Sains dan Teknologi Universitas Jambi

This study aims to confirm the effectiveness of implementing the project-based learning (PjBL) model. The results of this study show that applying the PjBL model to the optimization method course has efficacy in terms of positive responses to learning participation according to the outcomes that need to be met at each meeting increase. As many as 100% of student studies show that learning a musical instrument in the form of materials and task plans can stimulate learning and curiosity in students. Additionally, 98% of students said they were delighted with the project assignments, and 2% said they were burdened with their tasks. Ninety percent of students said group work helped them complete a particular project, and 5% of students said they disagreed with their group assignments. In addition to the questionnaire, the effectiveness of implementing the PjBL model can be seen from the written exam results and the given project assignments. These are cumulative to the final value of the optimization technique course. That means 71% of students get an A. 17% A- and 10% B+. The value indicates that the optimization techniques course is very successful, and no student fails while working with the PJBL model
A systematic approach to the multi-level career guidance «kindergarten - school - university»

One of the most important problems of modern society in general and of each individual person in particular is the problem of professional self-determination. Currently, the labor market is characterized by rather high requirements for potential workers. At the same time, job seekers are constantly faced with numerous problems: these are ongoing changes in market conditions; and fierce competition for vacant jobs, the number of which is constantly decreasing in the context of digitalization of all spheres of society; and the emergence of new digital professions professions of the future, in which labor maintenance requires special skills; and the exponentially accelerating obsolescence of professional competencies due to rapidly changing technologies and the ongoing scientific and technical revolution, etc. At the same time, professional self-determination is characterized by the dynamic process of finding oneself in the profession, which manifests itself, among other things, in entering the phase of option more than once in a lifetime due to various circumstances. In this regard, the problem of organizing an early multi-level comprehensive career guidance work with the younger generation, which would ensure successful professional self-determination of the individual, becomes urgent. The paper presents the authors view on the organization of the system of career guidance work, as well as the results of diagnostics of students of university classes of the Ulyanovsk State University of Education according to the method of J. Holland using digital career guidance services.
SOCIO-PHILOSOPHICAL ASPECTS OF MODERN INFORMATION TECHNOLOGY RESEARCH

Despite the presence of a significant number of research, the issue of the impact of information technology on a person's life requires further study.Virtually absent are studies that consider the category of "information technology" in its conjunction with the category "life path" of an individual.In this respect, the concept of a system of factors affecting modern human life taking into account the transformative role of IT needs to be clarified.The problem of substantiating the system of conditions facilitating the choice and practical implementation of positive life path model of an individual as a bio-socio-spiritual creature, taking into account the impact of IT, requires further study.The present research reveals the content of the "information technology" concept in the unity and interrelation with the philosophical categories of "technology" and "information".The role of information technologies in the system of factors affecting modern society is analyzed.The system of interrelated objective and subjective conditions facilitating person's choice and practical implementation of positive life path in the conditions of informatization is developed.
Sistem Informasi Pencatatan Surat Masuk dan Surat Keluar Berbasis Website Menggunakan Metode Waterfall

Sokaraja Lor is a village located in Sokaraja Subdistrict, Banyumas Regency, Central Java Province led directly by the Village Chief. The Village Head is also assisted by the village device consisting of the Village Secretary, Head of Affairs, and Section Head with duties in accordance with their respective fields. As one of the elements of government organizers, the village government has a duty to organize government affairs, community, and village development. Office activities or work related to the management of letters, storage, and documents are called archiving. Recording of incoming and outgoing mail archives at Sokaraja Lor Village Office is still done manually, which is recorded in the ledger and then stored in the storage cabinet. However, stored mail archives are sometimes lost because the borrowed letters are not recorded by the officer. The purpose of this research is to apply the management of mail archives from manual systems into website-based information systems by utilizing information technology to facilitate and assist the work in managing, searching, or inputting. The method used is the waterfall, which is also called a linear sequential model (sequential linear) or classic life cycle. The results of this study are a website system that is expected to improve administrative performance in terms of managing incoming and outgoing mail so that the process of filing letters and mail search becomes easier and faster.
Diversifying Approaches to Co-Designing the Smart Everyday

In this workshop, we will venture into the current state of co-design for imagining and creating smart objects and services within the context of “the home”. Together with a diverse group of workshop participants, we will conduct two rounds of co-designing which gives each of the participants the opportunity to explore two of the following three toolkits and methods. The Idiosyncratic Ideation Workshop is a combination of Loaded Dice, a pair of 3d-printed, cubical IoT devices with diverse sensors on the sides of one, and diverse actuators on the sides of the other cube and different card sets. The IoT Design Kit is a set of design and strategy workshop tools which provides various elements that can be completed as individual exercises and from different starting points and user journeys in workshops. Tiles IoT Inventor Toolkit consists of the Tiles IoT Cards, a canvas and a playbook for instructions on the use of the cards. The Tiles IoT Inventor Toolkit focuses on basic understanding of possibilities of the IoT. Collectively, participants will have the opportunity to reflect on the implicit assumptions, goals, and values backed into the co-design methods and toolkits. This helps us to articulate desiderata beyond standard solutions for the self-contained habitat of cost-efficient consumers, and instead appreciate the contingent and idiosyncratic needs and expectations enveloping “the home”. In particular, we will critically inquire about the western perspective of the available co-design methods and toolkits. In response, we will collectively explore and interrogate goals and values of co- design for “the home” from a non-Western perspective. Furthermore, the workshop enables the participants to select the most fitting design method and toolkit for their own creative practice beyond the workshop.