Reviewerly/exHarmony huggingface dataset:
A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method

Technological Developments at this time, competition in the business world is getting tougher, to support this, companies must also improve their quality. On CV. Adiguna to increase the resources of his employees in improving the quality of his company is of course supported and influenced by the performance of employees who are competent in their field. Where in CV. Adiguna of Bengkulu City in giving awards to the best employees every year so far it is still done manually, this can certainly increase the enthusiasm of employees at work and always run a business by fulfilling several criteria set by CV Adiguna of Bengkulu City. Therefore to provide an objective assessment of employee performance, a Decision Support System is needed to select the best employees and provide rewards to employees, then to support the above, it is necessary to implement several Decision Support Systems at CV Adiguna of Bengkulu City based on the criteria that have been determined by the management of CV Adiguna of Bengkulu City. Decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is a desktop-based application that has implemented the Preferences Selection Index (PSI) method. This application can be used to assist in the process of selecting the best employees on CV Adiguna of Bengkulu City uses 5 predetermined criteria, then the assessment of these 5 criteria is processed using the Preferences Selection Index (PSI) method to produce a ranking that will be used to determine the best employee. Based on the results of the tests that have been carried out, it can be concluded that the decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is able to run well and can overcome data input errors besides that calculations are done manually with those carried out by the application producing the same output.
Implementation of Two Tier Architecture in the Design and Development of Bumdes Administrative Data at the Kelindang Village Office, Bengkulu Tengah

The Kelindang Bengkulu Tengah Village Office is one of the villages located in Merigi Kelindang District, Central Bengkulu Regency. So far, the data management process for Village-Owned Enterprises (BUMDes) has used office application packages, namely Microsoft Word and Microsoft Excel. However, not all administrative data processing processes use office application packages, one of which is the 3kg LPG base distribution administration. The Bumdes administration data application at the Kelindang Bengkulu Tengah Village Office is used to make it easier for the village office to process BUMDES administration data, especially regarding the supply and distribution of 3kg LPG Gas to residents within the scope of the Village of Kelindang Bengkulu Tengah. In the data processing process, a network-based two-tier architecture with a WLAN connection has been implemented, to simplify and speed up data input, because many laptops connected to the WLAN can access it. The devices used are 3 units of laptops, namely 1 laptop for the server and 2 laptops for the client. The Bumdes administrative data application at the Kelindang Village Office in Bengkulu Tengah was made using the Visual Basic .Net programming language and SQL Server 2008r2 Database. Based on the tests that have been carried out, the functionality of the Bumdes administrative data application at the Kelindang Village Office in Central Bengkulu is running well and as expected
TATA KELOLA REKAM MEDIS BERBASIS ELEKTRONIK DALAM PENGELOLAAN LAPORAN PASIEN RAWAT INAP BPJS KESEHATAN MENGGUNAKAN MICROSOFT VISUAL STUDIO

In medical records, patient report management is very important for hospitals in collecting data if there are new or old patients who have been treated will make it easier to find patient data. The Medical Recorder section in charge will carry out the data processing process by inputting user data, doctor data, diagnosis data, visit type data and polyclinic type data. Furthermore, the medical recorder, namely the reporting section, will get the information to be used as material for making patient data reports, BPJS Health inpatient visit reports. In the process of making reports of BPJS health inpatients at hospitals, there are still shortcomings. The obstacle in the process of making BPJS health inpatient reports is that the medical record file has not been filled in completely so that work becomes hampered and there are often delays in submitting reports. The purpose of this study is to design an electronic-based medical record information system in making BPJS health inpatient reports at hospitals. In this discussion, the research used is using qualitative methods in a descriptive approach. In collecting problems, the authors used observation methods and interviews with medical record officers. Inpatient reporting officers are the subject of research while BPJS health inpatient data is the object of research. The result of this study is the design of an information system for reporting inpatients of BPJS health at hospital. &#x0D; Keywords: Report, Medical Record, Hospitalization, BPJS Health
USE OF THE LATEST WEB TECHNOLOGY IN SCHOOL WEBSITE DEVELOPMENT

Students and teachers of SMK Negeri 1 Pontianak have achieved numerous academic and non-academic accomplishments, which, however, have not been documented and published on the school's website portal. This research employs a literature review method, studying various sources, including journals and the internet. The data used for this study has been collected and published in national online journals between the years 2017 and 2023. The researcher conducted a search for research journals published on the internet using Google Scholar, with a focus on full-text access. The abstract and full texts of the journals were carefully examined and analyzed. The research objectives and findings were extracted and analyzed using content analysis of the journals.The web-based school information system at SMK Negeri 1 Pontianak was developed to provide information and an overview of the school to the community, enabling them to familiarize themselves with the institution. The need for information related to both academic and non-academic aspects of students is also crucial for parents or guardians. The creation of a virtual tour using 360-degree photos is highly influenced by the choice of camera, selection of shooting spots, and photo stitching software. A 360-degree camera facilitates image capture compared to regular cameras, which are then merged to form panoramic photos. The Multimedia Virtual Tour 360 effectively describes the school's location.
Evaluasi Pembelajaran Berbasis Information and Communication Technology (ICT) pada Mata Pelajaran PAI

Computer-based information technology is a means of delivering and processing information using micro-processors. In the context of learning evaluation, the implementation of ICT-based learning evaluation in PAI subjects at the senior high school level is a form of learning evaluation that uses the Computer Based Test (CBT) model, where CBT itself is also part of the application of Information and Communication Technology (ICT). The implementation of ICT-based evaluation in PAI subjects is no longer using paper, but the test can be done directly on the computer and the scoring system is also directly managed by the system, so that the presence of ICT-based learning evaluation in PAI subjects is able to provide convenience for educators and can advance the world of education at the pace of technological and information development.
Pengaruh Pola Asuh Orang Tua dan Fasilitas Laboratorium Komputer terhadap Hasil Belajar Siswa SMA Negeri 3 Kubu

This study aims to determine parenting styles and computer laboratory facilities on student learning outcomes at SMA Negeri 3 Kubu. There are two variables in this study, namely, the independent variables include parenting parents and computer laboratory facilities, while the related variables are learning outcomes. In this study, the researcher used a quantitative descriptive research method. The form of research that is considered suitable and in accordance with the method required in this research is the ex post facto research form. The population in this study were all students of class X and XI SMA Negeri 3 Kubu. proportional random sampling technique. Proportional aims so that each class can be represented in proportion and carried out randomly, namely collecting samples randomly. The data collection technique uses a questionnaire or questionnaire technique, before being used the data collection tool has been validated and tested for reliability. Data analysis techniques from the results of this study are simple regression analysis and multiple linear regression. The results that are known after conducting this research are that there is an influence of parenting styles on the learning outcomes of SMA Negeri 3 Kubu students. There is an influence of computer laboratory facilities on student learning outcomes of SMA Negeri 3 Kubu. There is an influence of parents' upbringing and computer laboratory facilities together on the learning outcomes of SMA Negeri 3 Kubu students.
IMPLEMENTASI PENGOBATAN KOMPLEMENTER SECARA DARING UNTUK MENGATASI KELUHAN NYERI PUNGGUNG BAWAH DI TENGAH PANDEMI COVID-19

Low back pain (LBP) is a complaint that many people experience throughout our lives. It can occur in young people, but is most often experienced by geriatrics or workers who lift weights. We sometimes treat ourselves by means of a massage, taking over the counter medicine or going to a health facility. Taking medicine without a doctor's prescription and it lasts for a long time can cause damage to the liver, kidneys and stomach. The Covid-19 pandemic in Indonesia since mid-2020 has caused changes in social life challenges. Covid-19 is easily transmitted, through micro-splashes of saliva and can last a long time in contaminated air or objects. Advanced age, history of diabetes, high blood pressure, and heart disease are high risk factors. Currently, many are afraid to go to health facilities because many people gathering for treatment will put patients and health workers at risk of contracting Covid-19 amid the pandemic, so they often seek other treatment that can cause complaints of low back pain to get worse. The aim of this service is to provide knowledge and skills to the community online so that they can independently handle complaints of low back pain amid the Covid-19 pandemic. The solution offered was to conduct a simple hand manipulation webinar to independently treat low back pain complaints. The implementation results showed that most of the participants had complaints of low back pain. After following the demonstration given by the instructor, most of the participants experienced a decrease in the pain scale in the waist. In conclusion, online hand manipulation is a simple, easy to apply, and quite effective technique for dealing with low back pain experienced by participants
Types of Grammatical Elements in Indonesian ELT Textbook: SFL Perspective

Transitivity analysis is used to study news, reading, speeches, and other discourses. However, recent textbooks on grammatical element participants and processes have little transitivity analysis research. Teachers who understand transitivity analysis can help students understand grammar and improve their oral and written communication skills by developing grammar and using proper teaching methods to teach about sentence subjects and predicates. This study seeks to identify the transitivity participants and processes that define grammatical elements in English for Nusantara for Grade 7. This study employed a textbook for qualitative content analysis. Subsequently, Halliday and Matthiessen's (2014) transitivity analysis is applied to the data. The types of participants found in this study were carrier (93 words), actor (79 words), senser (29 words), token (18 words), sayer (17 words), and behaver (8 words). Additionally, the relational processes (112 words) include attributing (94 words) and identifying (18 words), material processes (111 words), mental processes (32 words), verbal processes (18 words), existential processes (8 words), and behavioral processes (7 words). This study suggests that teachers employ transitivity to create activities and strategies to help students learn English grammar. It should assist students meet Merdeka Belajar curriculum goals, including speaking and writing English well. Keywords: Grammatical Elements, English Textbook, Systemic Functional Linguistics, Transitivity
Exploring Feature Engineering Strategies for Improving Predictive Models in Data Science

A crucial step in the data science pipeline, feature engineering has a big impact on how well predictive models function. This study explores several feature engineering techniques and how they affect the robustness and accuracy of models. In order to extract useful information from unprocessed data and improve the prediction capability of machine learning models, we study a variety of techniques, from straightforward transformations to cutting-edge approaches. The study starts by investigating basic methods including data scaling, one-hot encoding, and handling missing values. Then, we go on to more complex techniques like feature selection, dimensionality reduction, and interaction term creation. We also explore the possibilities for domain-specific feature engineering, which entails designing features specifically for the issue domain and utilising additional data sources to expand the feature space. We run extensive experiments on numerous datasets including different sectors, such as healthcare, finance, and natural language processing, in order to evaluate the efficacy of these methodologies. We evaluate model performance using metrics like recall, accuracy, precision, and F1-score to get a comprehensive picture of how feature engineering affects various predictive tasks. This study also assesses the computational expense related to each feature engineering technique, taking scalability and efficiency in practical applications into account. To assist practitioners in making wise choices during feature engineering, we address the trade-offs between model complexity and performance enhancements. Our results highlight the importance of feature engineering in data science and demonstrate how it may significantly improve prediction models in a variety of fields. This study is a useful tool for data scientists because it emphasises the significance of careful feature engineering as a foundation for creating reliable and accurate prediction models.
A Detailed Study on IIR-FIR Filters and Design of a Graphical User Interface for Simulation of EEG Signals

Electroencephalography (EEG) plays a pivotal role in accepting brain activity and identifying neurological disorders. The precise analysis and explanation of EEG signals require the solicitation of digital signal processing techniques, such as Infinite Impulse Response (IIR) as well as Finite IJmpulse Response (FIR) filters. This paper investigates into a complete exploration of IIR-FIR filters and their application in EEG signal processing. The first part of this research paper involves a detailed examination of IIR and FIR filter types, their mathematical foundations, pros, and cons. Various filter design methods, such as Chebyshev, Butterworth and Elliptic filters, are discussed as well as compared through literature survey. Speculative aspects, including filter design, transfer functions, and frequency responses, are presented in a clear and much accessible manner. The second phase of the study introduces the design of a Graphical User Interface (GUI) on mathematical modelling tool aimed at enabling EEG signal simulation and analysis. This GUI is designed to enable users, including researchers and clinicians, to generate synthetic EEG signals with controllable parameters, apply IIR-FIR filters in real-time, and thereby visualize the filtered signals. The interface offers user-friendly controls for customizing filter characteristics, such as filter order, cutoff frequencies, and filter type. To validate the efficiency of the designed GUI and the selected IIR-FIR filters, general simulations are conducted using EEG datasets. The results showcase the GUI's efficacy in real-time EEG signal processing, demonstrating its prospective in research, clinical diagnostics, and educational settings and many areas. In summary, this paper presents a full investigation into IIR-FIR filters, proposing insights into their theory and practical application for EEG signal processing. The development of a intelligible GUI for EEG signal simulation and study further enhances the approachability of these mathematical modelling tools to a wider audience, eventually contributing to progressions in the field of neuroscience and brain signal analysis.
Analysis of Descriptive Text Writing Skill Characteristics Based on Performance-Based Assessment for Junior High School Level

This research aims to develop a performance-based assessment model for descriptive text writing skills at the junior high school level. The success of the learning process for descriptive text writing skills in junior high school can be seen in the learning outcomes achieved by students. These learning outcomes are obtained through assessments conducted by teachers at school. However, in reality, teachers face difficulties in developing assessment tools for descriptive text writing skills. These difficulties are addressed by developing a performance-based assessment model for descriptive text writing skills. The research method used in developing the ADDIE model for skills assessment is Research and Development. The ADDIE model consists of five steps: (1) analysis; (2) design for performance-based descriptive text writing; (3) development; (4) implementation; and (5) evaluation. The results of this research include the characteristics of the assessment model for Indonesian language learning at the junior high school level.
Development of Bahasa Indonesia for Foreign Speaker’s Learning Material Based on Indonesian Cultures-Literatures and 5C Integrated

Currently, BIPA learning material which includes grammar, language skills and culture is delivered in an integrative manner, but the learning activities in it have not fully provided a way for foreign students to be able to communicate in Indonesian properly. The appropriateness of this communication can be achieved based on the context, society and culture of Indonesia. Because of this gap, BIPA students will experience communication barriers because there are differences between the Indonesian language learned in the classroom and the use of Indonesian in society. Apart from that, cross-cultural understanding has not been well established because the use of cultural and literary topics as language arts which can be an effective means of improving mastery of Indonesian language skills is not yet optimal. Based on this situation, this research focuses on developing a BIPA teaching material model based on Indonesian culture and literature by integrating the 5C aspects, namely communication, culture, connections, comparison, and communities. By integrating these five aspects in teaching materials for listening, speaking, reading, writing and grammar, foreign students can master Indonesian language competencies better and more comprehensively. These five aspects are covered in topics and discussions using various topics related to Indonesian culture and literature. The teaching material model developed will focus on the advanced level or BIPA 7.
Validity of Circulation of Meeting Minutes as a Basis For Making Deed of Meeting Minutes

Limited Liability Company (PT) is a common form of company in Indonesia. In holding a general meeting, the PT follows certain procedures, including the circulation of minutes. A general meeting is an important forum where shareholders can take strategic decisions and oversee the management of the company. Minutes circulation is the process of disseminating meeting minutes to shareholders for approval. General meeting minutes contain detailed records of discussions, decisions, and actions taken in the meeting. This document must comply with the provisions of the company's laws and regulations. After the meeting is over, minutes are circulated to shareholders for approval or revision if necessary. The process of circulating minutes allows shareholders to understand the results of meetings and provides opportunities to provide input or improvements. Approved minutes become the official record of the meeting and are important for the purposes of documentation and legal compliance, Notarris is the general officer authorized to make authentic deeds insofar as this provision is not specific to other general officials. The purpose of this paper is to see how the validity of the circulation of minutes of the general meeting of shareholders as the basis for making the deed of minutes of the meeting by a Notary
Sarcasm Detection in News Headline Dataset with Ensemble Deep Learning Method

Sarcasm, a prevalent linguistic device, is frequently used in public discourse, often causing offence and distress to the listener. The complexity inherent in detecting sarcasm is a significant and ongoing challenge in the field of sentiment analysis research. The widespread use of this phenomenon in diverse conversational contexts further complicates its identification in data sets full of human interactions. Deficiencies in methodologies for distinguishing such statements adversely affect the performance of sentiment analysis, especially in distinguishing negative, positive or neutral sentiments. Inaccuracies in sarcasm detection can affect the classification results of sentiment analysis. Therefore, sentiment analysis seeks to categorise sarcastic sentences that, despite appearing positive, actually contain negative meanings. This research aims to build a deep learning ensemble stack model. The basic deep learning methods used are Bidirectional Gated Recurrent Unit (BiGRU) and Convolutional Neural Network (CNN). LightGBM is used to perform stack ensemble of deep learning methods. The dataset used comes from the Kaggle website and consists of English headlines. The findings show that the stack ensemble method outperforms BiGRU and CNN, evidenced by an accuracy rate of 91.2% and an F1 score of 90.2%. Therefore, from the above discussion, it can be concluded that the LightGBM method emerges as the optimal solution for sarcasm detection
Studi Hubungan Self-Efficacy terhadap Hasil Belajar Kognitif pada Mahasiswa PGSD Surakarta UNS

&lt;em&gt;This research aims to find out whether there is a relationship between the self-efficacy variable and the cognitive learning outcome variable. The research design taken is correlational research with data collection techniques in the form of tests and scales. The research population is the entire student PGSD UNS Forces 2021. Sampling is done using the random cluster sampling technique. The data analysis technique used is simple correlation coefficient analysis. From the results of data analysis can be drawn the conclusion that there is no positive and significant relationship between self-efficacy and cognitive learning outcomes with the acquisition of a significance value of 0,657 &amp;gt; 0,05 with a pearson correlation value of -0,054.&lt;/em&gt;