Reviewerly/exHarmony huggingface dataset:
Modification of Da’wah Through the Art Performance of Ki Dalang Ulin Nuha

This study aims to understand the messages, methods, and strategies carried out by puppeteers in changing the traditional da'wah format into an interesting and memorable art performance. Descriptive qualitative research was used to collect data, using observation, interviews, and content analysis of art performances performed by Ki Dalang Ulin Nuha. The research findings show the use of various strategies by Ki Dalang Ulin Nuha to deliver da'wah messages to the audience in his art performances, incorporating contemporary innovations such as the use of media &amp; technology, music, sholawat, and interactive dialog with the audience. In addition, Ki Dalang Ulin Nuha also uses straightforward language and relates strict messages to everyday life. The modification of da'wah through Ki Dalang Ulin Nuha's art performances intends to reach and impact various levels of society. Ki Dalang Ulin Nuha's art performances attract audiences of all ages, including children, teenagers, and adults. The implication of this research is that the modification of da'wah through art performances can be an effective strategy in spreading religious messages to the wider community and can be used as a rol model in preaching that is not monotonous. Da'wah grows through larger art performances and inspires puppeteers and other artists to spread religious messages effectively, positively and attractively.
Comparative Analysis of Ridge, LASSO, and Elastic Net Regularization Approaches in Handling Multicollinearity for Infant Mortality Data in South Sulawesi

Infant mortality rate is a crucial indicator for assessing the health and infant care quality in a region. In the effort to reduce infant mortality rates, regression analysis serves as a tool to identify influential factors. However, regression analysis often encounters the challenge of multicollinearity, which involves high correlation among predictor variables. To address this issue, various regularization techniques can be applied, such as ridge regression, least absolute shrinkage and selection operator (LASSO), and elastic net. Ridge regression aims to control coefficient variance, while LASSO directs some coefficients to zero, functioning as variable selection. Elastic net combines the strengths of both methods by merging ridge and LASSO regularization. The objective of this research is to evaluate the performance of ridge regression, elastic net, and LASSO methods in handling multicollinearity issues, utilizing infant mortality rate data in South Sulawesi Province. The results indicate that the elastic net method outperforms both Ridge and LASSO methods. The best-performing model is obtained through elastic net with a coefficient of determination value of 60.81%, whereas ridge and LASSO methods yield coefficient of determination values of 54.11% and 58.18%, respectively. This demonstrates that the application of the elastic net method is capable of producing more accurate results in modeling the variables within the analysis of infant mortality rate data compared to other methods.
Prediction of Clean Water Supply Using the Fuzzy Time Series Cheng Method at PDAM Tirta Silau Piasa

This research aims to determine predictions of clean water supply at PDAM Tirta Silau Piasa in 2023 using the Fuzzy Time Series Cheng method. This type of research is quantitative research using data sources, namely secondary data. This research data was taken from clean water supply data at PDAM Tirta Silau Piasa, namely data on the volume of clean water for the period January 2021 to May 2023. From the calculation results of the prediction analysis of clean water supply at PDAM Tirta Silau Piasa using the Fuzzy Time Series Cheng method, for the amount of water supply clean water in June 2023 is 443,620, with a total predicted clean water supply from 2021 to June 2023 of 12,031,703. With a MAPE value of 3%, if we look at the MAPE which is less than 10%, the results of predicting clean water supply using the Fuzzy Time Series Cheng method produce the best prediction value.
Comparison Predictions of the Demam Berdarah Dengue (DBD) using Model Exponential Smoothing: Pegel’s Classification and ChatGPT

The evolution of AI since the Covid-19 pandemic has developed very rapidly. Until 2023, AI is claimed to be a threat to several professional jobs, especially data analysts and scientists. The purpose of this research is to check the effectiveness chat-GPT to predict about demam berdarah dengue (DBD) case. Method of the analyzing the data in this research is Mixed method. Quantitative method using exponential smoothing: pegel’s classification and qualitative method using GPT-3. The aim of this research is to check whether ChatGPT can predict the demam berdarah dengue (DBD) data time series. The prediction result are check it by exponential smoothing: pegel’s classification method. The benefit of this research is it can be used to reference how far the evolution of AI can be threaten the profession of data analyst or data scientist. The result of this study conclude that the ChatGPT (GPT-3) can’t predict DBD’d data correctly.
Eligibility Classification of Aid Recipients Hope Family Program in Cinta Rakyat Village Using the Method Weighted Naive Bayes with Laplace Smoothing

The Indonesian government sometimes faces difficulties in dealing with poverty problems. The Indonesian government utilizes a number of programs and stimulants to overcome the problem of poverty. The government's PKH program offers conditional assistance to low-income families who have been designated as PKH recipient households. PKH provision is still below optimal standards, this may be because the data used is not updated frequently. To assist village officials in determining which residents are eligible to receive PKH assistance, this research tries to classify the eligibility of recipient residents in Cinta Rakyat Village. With the Weighted Naive Bayes method, classification calculations are not only based on probability distributions but also by adding weights to each attribute to the class. Assisted with Laplace Smoothing to avoid a probability value of 0. As a result, there are eight factors that determine a person's eligibility to receive PKH assistance, including age, occupation, income, number of family members, number of dependent school children, quality of house, type of floor, and type of walls. As well as classification into eligible and non-eligible groups. And obtained test results using the Confusion Matrix with an accuracy value of 95.65%, error rate of 4.34%, sensitivity of 100% and specificity of 94.74%. To identify village communities who deserve PKH assistance, Cinta Rakyat Village administrators can use the findings of this research.
Environmental health risk analysis of hydrogen sulfide (H2S) and ammonia (NH3) from vehicle fumes around Purabaya Terminal with a radius of 250 and 500 meters in 2022

Introduction: Purabaya Terminal or commonly referred to as Bungurasih Terminal is a type of A passenger terminal and the main terminal of Surabaya City, which is located outside the southern and western borders of Surabaya City, precisely in the administrative area of ​​Bungurasih Village, Sidoarjo Regency. Purabaya Terminal is a type A terminal with an increased risk of activity vehicles that cause air pollution, resulting in hydrogen sulfide (H2S) and ammonia (NH3) gas which pose a risk to the health of the surrounding community when exposed to vehicle pollution. This study aims to analyze environmental health risk analysis of hydrogen sulfide (H2S) and ammonia (NH3) from vehicle fumes around Purabaya Terminal with a radius of 250 and 500 meters in 2022. Methods: This research is a type of descriptive research using quantitative analysis methods. The sample in this study was 50 people with a sampling technique using purposive sampling within a radius of 250 and 500 meters. Results: The highest level of H2S exposure was at point 3, which was 0.004 mg/m3. Meanwhile, the highest level of NH3 exposure was at point 2, which was 0.029 mg/m3. Conclusion: Based on the research that has been done, it can be concluded that the levels of H2S and NH3 at a radius of 500 meters are smaller than those of a radius of 250 meters.
Preliminary Regulations for Effective Implementation of Integrative Education in Korean Medicine College

For the purpose of deducing efficient teaching program for the undergraduates of the Korean medicine college(KMC), details on the concept, goal, method, format and contents of integration are proposed for sharing consensus among members of instructors and students in KMC. The reorganization of the curriculum of KMC should be designed to reflect the trend of changes of the times that encompass scientific and convergent research on the micro and macro world. From the instructor
Gamification in the STEM Domain Subject: The Prospective Method to Strengthen Teaching and Learning

Several meta-analysis studies related to game-based learning or Gamification have been carried out by various researchers. However, there is still a scarcity of studies specifically elucidating the extent of Gamification's impact on STEM domain subjects. Therefore, this research aims to summarize various research results related to the influence of game-based learning in improving student learning outcomes in STEM domain subjects. This research was a meta-analysis using the standardized group contrast design with a random model. Research data were from articles published in Scopus-indexed journals or proceedings. The inclusion criteria in this research were articles published between 2014 – 2023 in English, quantitative type data with a contrast group design containing control and experimental groups, complete data (n, mean, SD), and research focused on STEM domain subjects. The data collection process used the PRISMA method. To ensure data quality, researchers conducted publication bias analysis using the fail-safe N method. The moderator variables were continent, stem domain, era, developing competency, game type, and education level. The results find that Gamification has a positive impact on student learning outcomes, as indicated by an effect size value of 0.5492 [0.3943; 0.7041] with a confidence interval of 95%. Gamification does not provide a significant positive difference in the moderator variables continent, era, developing competence, and game type. For STEM domain subjects, Gamification is highly recommended to be applied. For the educational level, Gamification is most recommended to be implemented in elementary school.
DEVELOPMENT OF SCRIPTS FOR OPTIMIZING WORK ON A PC USING AUTOHOTKEY

This article describes the process of creating scripts that optimize work with a PC using the AutoHotkey program. The created scripts simplify the user’s interaction with the PC.&#x0D; Purpose – develop scripts for users, when interacting with which they will be able to significantly increase the efficiency of working with a PC.&#x0D; The method or methodology of the work: this article discusses a method in which using scripts simplifies working with a PC and increases its efficiency.&#x0D; Result: easy-to-use scripts have been developed that increase the practicality of interaction with a PC, which has a positive effect on work efficiency.&#x0D; Scope of the results: the developed scripts can be applied in various areas where automation of repetitive actions on a PC is necessary.
HYPERTEXT CASE MODEL FOR TEACHING SEMANTIC READING TO SECONDARY SCHOOL STUDENTS IN MATH LESSONSPROBLEMS OF MANAGING A CYBER-PHYSICAL SYSTEM IN THE PRESENCE OF MALFUNCTIONS IN IT

The study of various properties of information-technical systems from the point of view of interaction of their physical and digital components is a new and actual direction of modern science of cyber-physical systems. When considering modern cyber-physical systems, various authors recommend considering them as complex systems within the framework of system analysis. Due to the complexity of systems, adaptive algorithms should be relied upon in human-machine interaction. In this case, the specialist is seen as a decision maker. In the course of his work, he will strive to ensure the required mode of functioning of the cyber-physical system, including in the presence of faults in it. This paper proposes to consider the possible actions of a specialist in a cyber-physical system from the perspective of a simulation experiment. The paper provides an illustration of an algorithm scheme related to adaptive resource selection in a cyber-physical system. The scheme of rational decision making when resources are selected is shown. A methodology for generating logic models is proposed. The paper shows how game modeling can be applied to cyber-physical systems. The results obtained in this paper can be applied to a wide range of cyberphysical systems.
AUTOMATION OF THE PROCESS OF CONVERTING CURRENCIES INTO ROUBLES ON THE BASIS OF TELEGRAM

This article describes the creation of a Telegram bot that will help us quickly convert any currency into rubles. The main thing for the user will be the simplicity and speed of using this bot. And to a large extent it simplifies the work for many employees who often have to convert foreign currency into rubles.&#x0D; The goal is to create a convenient environment in which users can quickly and without much difficulty convert currencies into rubles.&#x0D; Method or methodology of work: the article considers a method in which any user, specifying the letter code of the currency, can find out the exchange rate for today in rubles. For realization the programming language Python and programming environment PyCharm are used.&#x0D; Result: a tool is developed by which the user can find out the ruble exchange rate in the selected currency.&#x0D; Scope of the results: the data will be used by bank employees or any other users who are interested in the ruble exchange rate.
NEURAL NETWORKS OPTIMIZATION: METHODS AND THEIR COMPARISON BASED OFF TEXT INTELLECTUAL ANALYSIS

The research resulted in the development of software that implements various algorithms of neural networks optimization, which allowed to carry out their comparative analysis in terms of optimization quality. The article takes a detailed look at artificial neural networks and methods of their optimization: quantization, overcutting, distillation, Tucker’s dissolution. Algorithms and optimization tools of neural networks were explained, as well as comparative analysis of different methods was conducted with their advantages and disadvantages listed. Calculation values were given as well as recommendations on how to execute each method. Optimization is studied by text classification performance: peculiarities were removed, models were chosen and taught, parameters were adjusted. The set task was completed with the use of the following technologies: Python programming language, Pytorch framework and Jupyter Notebook developing environment. The results that were acquired can be used to reduce the demand on computing power while preserving the same level of detection and classification abilities.
Implementasi Metode K-Medoids Untuk Clustring Penerima Bantuan Berdasarkan Normalisasi Data Masyarakat Miskin Dengan Metode Desimal Scaling

The Social Welfare Office is the distributor of aid for the economically disadvantaged population in accordance with the regulations set by the Minister of Social Affairs of the Republic of Indonesia Number 20 of 2019. This aid is provided to the economically disadvantaged population selectively, not continuously, in the form of goods or cash, aiming to improve the welfare of the economically disadvantaged and socially vulnerable. The data of aid recipients from the economically disadvantaged population needs to be processed and normalized to obtain the desired information, facilitating the grouping of aid recipients at the Southeast Aceh Social Welfare Office. The aid recipients' data is processed and normalized to ease the grouping process using Decimal Scaling method, enabling the extraction of desired information. Subsequently, the data is clustered using the K-Medoids method to group aid recipients based on the normalized data, thus simplifying the identification of the most suitable aid recipients. This research employs a system capable of providing a solution for clustering aid recipient data using the K-Medoids method and the RapidMiner application
Implementasi Metode Tsukamoto Pada Sistem Pakar Diagnosa Kernikterus

Kernicterus is brain damage in infants due to high levels of bilirubin in the blood. Bilirubin is the cause of jaundice, and if left untreated, it can accumulate in the brain. The issue at hand is that the community, especially parents, still struggle to find a solution to determine the diagnosis of Kernicterus in a baby's body. Expert systems are advanced technology that can be used to address diagnostic problems with relevant accuracy. One of the expert system methods that can be employed for diagnosing diseases is Tsukamoto. Therefore, in this research, a expert system is built to obtain a Kernicterus diagnosis with relevant accuracy by implementing the Tsukamoto method to address the issues faced by patients. The results of this research show that testing the Tsukamoto method for diagnosing Kernicterus provides good accuracy. Hence, it can be concluded that implementing the Tsukamoto method in an expert system can be a solution to address the Kernicterus diagnosis problem
Analisa Metode Backpropagation Dalam Memprediksi Jumlah Perusahaan Konstruksi Berdasarkan Provinsi di Indonesia

This research aims to analyze the number of construction companies in Indonesia and gain an understanding of the trends and characteristics of the construction industry in that country. In this research, data related to the number of construction companies is analyzed using available sources such as government statistical reports, industry publications, and other secondary data sources. The data we use in this research is data on the number of construction companies by province in Indonesia from 2016-2021 which was taken from the website of the Central Statistics Agency (BPS) using the backprogation artificial neural network (JST) method. The analysis results show that the number of construction companies in Indonesia has increased significantly in recent years. It is hoped that this research will encourage strong economic growth and increasing investment in the infrastructure and property sectors has driven demand for construction services. In addition, government policies that support the construction sector, such as infrastructure development programs and regulations that facilitate foreign investment, also contribute to the growth in the number of construction companies. Apart from growth trends, this research also identifies several characteristics of the construction industry in Indonesia. The industry is dominated by small and medium-sized companies operating locally, although there are also large companies involved in large-scale projects. Competition in this industry is fierce, with companies vying to win construction contracts and develop a competitive advantage. The architectural models that we use in this research are 6 architectural models, of which the best architectural model will be obtained. The architectural models include 5-11-1-1 with an accuracy percentage of 61.8%, 5-12-1- 1 with an accuracy percentage of 70.6%, 5-14-1-1 with an accuracy percentage of 82.4%, 5-18-1-1 with an accuracy percentage of 64.7%, 5-20-1-1 with an accuracy percentage of 70.6%, 5-22- 1-1 with an accuracy percentage of 73.5%. So the best architectural model is obtained, namely the 5-12-1-1 model which produces an accuracy rate of 82.4%. with a Mean Square Error (MSE) of 0.00099997 with an error prone of between 0.001-0.05. These results are quite good in predicting the number of construction companies based on provinces in Indonesia
THE EFFECTS OF VAK TECHNIQUES IN EFL CLASSROOM

The aim of this research was to scrutinize the usage of VAK techniques used in EFL classroom, considering their effects on students’ learning process. In order to reach this aim, three main research questions were raised at the beginning: 1. Which is the most applied VAK technique in EFL classroom?, 2. Does the use of the VAK techniques impact students’motivation?, 3. Which VAK technique is the most favorable for students? This research was conducted using quantitative research method, whereas the data collection instrument was a questionnaire consisting of 8 questions. These questions were focused on the VAK teaching techniques used nowadays in EFL classrooms, trying to identify which technique is the most favorable one for learners. Participants of the study were 160 learners selected from two primary schools located in Prizren: “Emin Duraku” and “Mati Logoreci”. Findings have shown that generally the most applied VAK technique in most of the EFL classrooms nowadays is the visual one, since teachers include mostly verbal elements during the class such as taking notes, writing sentences, reading instructions. In addition, this study showed that the usage of VAK techniques during the learning process increases students’ motivation and encourages them to be more involved in the learning process. Since teachers pay less attention on kinesthetic and auditory teaching techniques, learners have presented their demands on increasing the number of the activities that allow them to learn through listening and movement. Related to students’ preference, the study has shown that games, short movies, and songs are the most favorable VAK activities for learners. If teachers include VAK techniques while teaching, the number of learners that are going to be engaged will be higher. It happens because through VAK techniques learners with different learning styles will find something that fit them the most.
Evaluation of the Job Training Policy Implementation Process at the Manado City Manpower Office in IT Perspective

Implementation of training programs Work based on the Minister of Manpower Regulation Number 11 of 2013 concerning Guidelines Maintenance System Training National Work. Implementation of training programs carried out by the Manado City Employment Service experienced several obstacles, such as unemployment data on the same with existing real data. Study This uses the theory implementation of public policy. Objective study This is to know How the implementation of training programs is suitable to work with the needed company at the Manado City Employment Service. Study This use method studies qualitative descriptive. Data was obtained through observations, interviews, as well as documentation. Research results This discloses that evaluation of implementation programs policy training Work at the Manado City Employment Service is feasible next However with several repairs like providing more facilities sufficient to do so complete lack of maintenance training, adding source Power teacher or instructor Training for implementation training can walk in a way maximum, as well increase Work The same with companies related for help absorption of alumni participants training to the world Work.