Reviewerly/exHarmony huggingface dataset:
PENINGKATAN KEMAMPUAN BERBICARA MELALUI TELEPON DENGAN METODE BERMAIN PERAN SISWA KELAS IV NEGERI 1 TEUBENG

The problem in the research is that the implementation of Indonesian language learning in SD Negeri Teubeng is not optimal, especially for fourth grade students. From the observations obtained, that in the implementation of teaching and learning activities the teacher has not been able to develop students' awareness of self-confidence in learning. Most of the students were afraid so they did not dare to speak about mastering the language. The problem of this classroom action research is whether the ability to speak by telephone can be improved by using the role-playing method in class IV SD Negeri 1 Teubeng. The aim of the study was to improve students' speaking skills by telephone by using the role-playing method in the fourth grade of SD Negeri 1 Teubeng. The subjects in this study were all fourth grade students, totaling 32 people. Data collection techniques carried out in this study were teacher activity observation sheets and student activity observation sheets during the implementation of learning through the role playing method and the results of the cycle action test. This research is a classroom action research (CAR). This research was conducted in two cycles. Based on the results of this classroom action research, it shows a gradual increase in each cycle. From the results of the first cycle of action research, the average value of students was 67.5% with classical learning completeness of 68.75%, then in the second cycle, the average value increased to 76.04% with classical completeness of 87.5 %. Based on these results, it can be concluded that through the role playing method, fourth grade students of Negeri 1 Teubeng can improve their speaking skills by telephone in learning Indonesian
Sistem Pendukung Keputusan Penerima Beasiswa Program Indonesia Pintar Menggunakan Metode Algoritma K-Means Clustering

SDN 020 PPU is one of the elementary schools that receive scholarships from the Program Indonesia Pintar (PIP) every year. The Smart Indonesia Program is a collaboration of three ministries of Kementerian Pendidikan dan Kebudayaan (Kemendikbud), the Kementerian Sosial (Kemensos), and the Kementerian Agama (Kemenag). Program Indonesia Pintar is designed to help school-age children from poor/vulnerable/poor priority families continue to receive education services until they finish secondary education, either through formal education (starting from SD/MI to graduating from SMA/SMK/MA) through this program the government seeks to prevent students from the possibility of dropping out of school, and is expected to attract dropouts to return to continue their education. Based on the results of the evaluation of the implementation of data processing, there are problems in distributing scholarships because there are often complications in proposing the eligibility of scholarship recipients. With these problems, a decision support system is needed to assist the school in determining scholarship recipients using the k-Means clustering algorithm method using Rapidminer studio version 9.10. This study uses 236 student data at SDN 020 PPU which consists of 5 research variables, namely Name, Number of Dependent Parents, Report Value, Occupation and Total Income of Parents. Based on the results of data processing, there are 70 data including cluster 1 with scholarship recipient status right on target, then 118 data including cluster 1 with scholarship recipient status not being targeted. and 48 data belonging to cluster 2 with scholarship recipient status not on target
Analisis Dan Implementasi Algoritma Active Fuzzy Constrained Clustering Untuk Pengelompokan Dokumen

Text document clustering techniques automatically become an important research in which volume of text document via digital media is growing rapidly. This technique is known as document clustering. Document clustering is a method of grouping documents based on their similarity. For groupping these documents, one of the clustering algorithms is used, namely Active Fuzzy Constrained Clustering (AFCC), which combines fuzzy and semi-supervised clustering methods where text documents as a bag of words will be calculated with the value of meaningful words using the Vector Space Model. (VSM). The AFCC algorithm is identified by the use of pairwise constraint and centroid in its cluster. The input documents tested in the research are a collection of documents in the BBC News Archives. Based on the research that has been done, using the parameters of the maximum number of clusters, the maximum number of constraints per iteration and the maximum number of iterations, the AFCC algorithm results in grouping text documents that are news article. Performance measurement of clustering results in this research uses the Confusion Matrix approach, which can be generated with an average precision and recall value of 0.53, and an accuracy value of 0.52
Analisis Tingkat Kepuasan Pengguna Sistem Informasi Website AHU Menggunakan PIECES Framework

The use of information systems requires special arrangements and management, so this system is commonly referred to as a website information system. Website information system is a representation of information technology which is a medium in obtaining information. One of the benefits of a website-based information system is to facilitate the presentation of data that can be accessed by all internet users. The role of a website-based information system is to produce information for all levels of management. The need for information for a management process must be analyzed, so that the information produced can function and be right on target. One application of a website-based information system is a notarial information system. This study aims to evaluate user satisfaction of the Online AHU (General Legal Administration) Website in relation to the Directorate General of AHU. With the application of AHU Online as a breakthrough in public services by the Directorate General of AHU, these problems can be overcome as a form of excellent service to the community. In this case, it cannot be separated from the information system used in the company, of course it cannot be separated from the impressions of users (notary employees) in registering legal entities using the AHU Online Website. The method used is the PIECES Framework analysis method, which consists of several points of analysis, namely: Performance, Information and Data, Economics, Control and Security, Efficiency, and Service. The results of this study are an AHU website that is able to analyze the level of user satisfaction with the website information system using the PIECES Framework analysis method
Analisis Kepuasan Aplikasi Anjungan Pasien AWS Berbasis Website Menggunakan Metode WEBQUAL 4.0

The use of the Website-based AWS Patient Pavilion application that has been implemented by Abdul Wahab Syahrani Hospital in providing services is one example or form of information technology advancement. To find out the quality of a Website-based application that has been implemented by the hospital, it is necessary to take measurements. By measuring the quality of the AWS Patient Pavilion Website, it is possible to know the level of satisfaction based on the perception of the end user.In this research, the researcher uses the WebQual method which has been modified by adding user satisfaction variables with three main dimensions of WebQual 4.0, namely Usability, Information, Service Interaction. This research was conducted at Abdul Wahab Syahrani Hospital. Data was collected by using questionnaires. The population of this study were patients who were in a halfway house as users of the AWS Patient Pavilion Website. The results of this research are suggestions for website development
Perbandingan Metode K-NN, Naïve Bayes, Decision Tree untuk Analisis Sentimen Tweet Twitter Terkait Opini Terhadap PT PAL Indonesia

PT PAL Indonesia is one of the state-owned enterprises engaged in the shipbuilding industry which has business advantages in shipbuilding and shipbuilding capabilities. Being a fairly large company, PT PAL gets opinions from the public regarding the performance and services provided. Therefore, a sentiment analysis was carried out on public opinion on Twitter social media using data that had been collected into a dataset and processed using Rapidminer tools. This study uses the Naïve Bayes, K-NN and Decision Tree methods to make comparisons by looking at the level of accuracy of the three methods used. The results of the study show that the Naïve Bayes method has an accuracy rate of 84.08% with class precision for pred. positive is 83.65%, pred. Neutral is 97.06%, pred. negative 100%, K-NN method is 83.38% with class precision for pred. positive is 83.05%, pred. Neutral is 96.43%, pred. negative 0.0% and the Decision Tree method is 81.09% with class precision for pred. positive is 81.09%, pred. Neutral is 0.0%, pred. negative 0.0%. The results of this study can show that the Naïve Bayes method has a higher accuracy rate than other methods used with an accuracy rate of 84.08%
Impementasi Algoritma Naive Bayes Terhadap Analisis Sentimen Opini Masyarakat Indonesia Mengenai Drama Korea Pada Twitter

Korean culture in the last two decades has shaken the whole world, including Indonesia, almost all millennial children talk about Korean culture, whether from dramas, films, songs, fashion, lifestyle, industrial products have begun to penetrate the lives of Indonesian people. One of the trends of public interest is Korean film drama. However, in the expansion of Korean film dramas in Indonesia, there must still be a negative perspective, so an analysis of the sentiments of Indonesian people's opinions regarding Korean culture is currently on the rise. This sentiment analysis data is taken from comments about Korean dramas that are widely written on Twitter. From the many opinions about Korean dramas, a classification is needed according to the existing sentiments so that it will be easy to get the tendency of opinions written on Twitter towards Korean dramas whether they tend to have positive, neutral or negative opinions. In the analysis of opinion sentiment using a Naive Bayes approach taken from Twitter Social Media. The application of the Nave Bayes algorithm in grouping positive, neutral and negative sentiments based on Korean drama commentary review data collected. The purpose of this study is to analyze public opinion and sentiment on Korean dramas on Twitter based on 100 data taken, using Orange tools for the sentiment analysis process. The results given show a percentage value of 69% by calculating the Naive Bayes algorithm
Penerapan Data Mining Untuk Menentukan Strategi Penjualan Pada Toko Raja Komputer Menggunakan Metode Clustering

Toko Raja Computer Balikpapan is one of the laptop sales shops engaged in electronics with main products such as laptops, PC computers, and other accessories. Where the company every day must meet the needs of consumers and sales to be able to make the right decisions in determining the strategy. To be able to do this, Toko Raja Computer requires sales strategies to be able to attract buyers and increase company profits or revenues. In this study, data mining analysis was carried out by clustering techniques using the K-Means method. From the results of the research conducted, the results obtained from 1044 datasets of the Raja Computer sales list in 2021. So the results of clustering on the sales transaction data were 4 clusters of which there were 398 data following cluster 0, 363 data following cluster 1, 145 data following cluster 2 , and 138 data follow cluster 3, which means that clusters 0 and 1 are defined as products that must pay attention to the supply with the highest number, while clusters 2 and 3 are products with stock supply below clusters 0 and 1.
Evaluasi Layanan Sistem Informasi GO PPU Menggunakan Metode Pieces Framework Pada Disdukcapil Penajam

The Population Administration and Civil Registration Services provided by the Government to the Community are actually the result of thinking that follows the current relevant era. Along with the development of modern times, the Dukcapil District Office. Penajam Paser Utara presents innovations in public services provided through the GO PPU application. The involvement of the GO PPU application in public services in the field of population administration in North Penajam Paser Regency is the result of research from the previous population system. Therefore, the researcher tries to find out the performance system with the PIECES framework method which has six indicators of Performance, Information and Data, Economics, Control and Security, Efficiency, and Service. The purpose of this study is to determine the main purpose of the agency to satisfy users of the service. By using PIECES as a tool to analyze the system, a detailed and comprehensive system will receive special attention, so that the strengths and weaknesses of the system can be known to later be used as a reference for the company's progress in the future. 98, it can be categorized as users who feel SATISFIED with the GO PPU information system service
Sistem Informasi Jasa Cuci Interior Rumah dan Mobil Menggunakan Metode User Acceptance Test

At this time, the development of science and technological progress is increasing and sophisticated, especially the use of computers and mobile phones that almost use them and have a significant impact. The usefulness of information technology becomes a management of information that is easier to use. The same is felt by the owner of Wowo Clean Solution, wanting to feel an easier dissemination of information but still experiencing a shortage of information and ordering systems that have not been computerized, resulting in the people of Purwokerto not knowing much about home and car interior cleaning services, thereby reducing orders for cleaning the interior of the house and car. Therefore, researchers build a system using the Waterfall Method or the waterfall method is a model developed for software development. The Waterfall method was chosen because this method can help the author to develop the first stage software system that will be built according to the needs of the user (user). This researcher builds a website using the PHP and MYSQL programming languages. The final result of this research is to analyze the response of using the wowo clean solution website. The response to the use of the webiste from the community uses the User Acceptance Test (UAT) model testing. UAT aims to determine the functionality of software testing. The final result of this research is to produce an information system, namely the wowo clean solution website and the results of the examiner's assessment using the user acceptance test with an average score of 80% so that it gets good criteria.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENGAGENDAAN SURAT PADA UNIVERSITAS MUHAMMADIYAH JAMBI

Computer-based information systems are needed, especially in the development of an organization, in this case is the University of Muhammadiyah Jambi. Where the University of Muhammadiyah Jambi pays less attention to incoming and outgoing letters because currently the mail scheduling information system has not been fully integrated with the system where for mail scheduling still uses the conventional system. Where the process is still carried out by separating incoming and outgoing letters and then writing or recording several parts of the letter, namely: letter number, letter description, letter origin, incoming letter date, outgoing letter date, agenda date, document. The purpose of this research is to analyze and design a prototype letter scheduling system so as to increase the effectiveness and efficiency in scheduling letters and speed up the process of searching for letters so as to make it easier for mail managers to find letters according to their needs. This design was made using the visual paradigm and using object-based modeling techniques to describe the analysis and design of the system, namely in the form of use case diagrams, class diagrams, and activity diagrams. This research resulted in a prototype design of an analysis system and design of a letter scheduling information system at the University of Muhammadiyah Jambi. On this basis, an integrated system is needed, it is hoped that the system can be implemented directly to increase the effectiveness and efficiency of the implementation of the letter logging information system at the University of Muhammadiyah Jambi.
Analisis Kepuasan Mahasiswa STMIK Borneo Internasional Balikpapan Pada Website SIMAK Menggunakan PIECES Framework

The use of the website in the education sector has been implemented by the STMIK BI Balikpapan campus in the form of the website http://stmik-borneo.ac.id as a forum for information for students, lecturers and the wider community. Website services are certainly supported by many features for information such as student data, academic activities, payments, grades, and even student academic services. SIMAK is an information forum for students to collect student data in the form of academic information, achievements, research and counseling forums with academic supervisors on the STMIK BI Balikpapan campus. The website that is currently in use will of course always require system development according to the needs of its users, especially students. To identify problems, it is necessary to identify problems to find out how satisfied students are on the SIMAK website. One of the evaluation methods is the PIECES method (performance, information, economy, control, efficiency, service). You can determine satisfaction for each domain based on the PIECES method, which consists of performance, information, economy, control, efficiency, and service in measuring student satisfaction for the SIMAK website. Research results from Performance get a value of 4.19, Information get a value of 3.89, Economy gets a value of 3.96, Control gets a value of 4.03, Efficiency gets a value of 4.15 and service gets a value of 4.03. So that the average value obtained is 4.04, it can be categorized as students who feel SATISFIED with the SIMAK website.
Persepsi Penggunaan Sistem E-learning menggunakan Technology Acceptance Model (TAM)

E-learning is a learning activity that uses the internet which can be combined with face-to-face activities in educational institutions. Utilization of e-learning can also make the development of high learning flexibility. The user's perception in this case is that students will be needed to help optimally use e-learning. STMIK Borneo International Balikpapan is one of the educational institutions that has developed an e-learning system. This study aims to examine student behavior in the use of e-learning STMIK Borneo International Balikpapan on the e-learning system with the Technology Acceptance Model (TAM) using SPSS version 26 as data processing with the aim of providing convenience and acceleration in the research completion process. Respondents in this study were 37 students in 2018. The data collection method used an electronic questionnaire (google form), a measuring instrument with a Likert scale, in validity and reliability tests and descriptive analysis by looking for the average value of each question item. The research model uses the Technology Acceptance Model (TAM) with 3 variables, namely user acceptance (Acceptance), ease of use (Ease of Use), and usefulness (Usefulness). The results of the analysis show that the perception of the use of the e-learning system is the average overall value of the mean score usefulness (Usefulness) 4, ease (Ease of Use) 3.6, acceptance (Acceptance) 4.03. So it can be concluded that respondents get good benefits in using the e-learning system
Penerapan Algoritma Winnowing dan Word-Level Trigrams Untuk Mengidentifikasi Kesamaan Kata

Identifying the same words in two or more texts is the first step in the process of detecting plagiarism. Plagiarism detection software are commercially available but relatively expensive. Although some software is offered for free, the features provided are very limited. Therefore, a word similarity detection system is needed to be used as an alternative for users that can be freely accessed. The application of the pattern matching method is one of the solutions that can be used to find the similarity of words between documents. There are several algorithms that can be used as a method to find the similarity of words in the text, including the Winnowing algorithm which is known to have good performance in detecting similarity of words. Winnowing is a hashing-approach based algorithm that applies hash-function and window formation to obtain fingerprints during pattern matching. Based on these fingerprints, the word similarity level can be calculated. Previous studies have only calculated the level of similarity of words based on the character (character-level), while the calculation of the level of similarity based on words (word-level) is still limited. This research was carried out with the aim of measuring the level of similarity of words using the Winnowing algorithm and word-level trigrams. The results showed that the Winnowing algorithm which was applied using word-level trigrams could detect similarities in the text of 76.84%, 52.29%, 37.40%, and 19.29%, respectively. From the results of the study, it can be concluded that the pattern matching method with the Winnowing algorithm and word-level trigrams can be used to measure the level of similarity of the text
Deteksi Berita Palsu Menggunakan Metode Random Forest dan Logistic Regression

Fake news is information that is presented incorrectly or falsely. Of course, if the spread of fake news continues, it can result in wrong knowledge of the information obtained. One of the efforts to prevent the spread of fake news is by detecting whether the news is genuine or fake in order to provide an explanation to the readers of the related news. This study aims to detect fake news using a supervised learning random forest model. The news dataset used contains 6256 rows of titles that have a fake or real class. The dataset first goes through a cleaning, tokenization, and stemming process to break sentences into words. The results obtained using the random forest model of 84%, this result is higher than using the logistic regression model of 77%.
Implementasi Aplikasi Kepengaturan Dokumen Akreditasi Program Studi dengan Metode Borg and Gall

The Study Program Accreditation Document Arrangement Application is an application that helps to arrange accreditation supporting evidence documents. Accreditation is often a tiring job because all supporting evidence is scattered, both in physical or digital format. The focus of this research is on making your own application product. The research method is based on the Borg and Gall method. This method has several stages to make a product. The programming language used is NodeJS. NodeJS has a small execution time and is light, so it does not burden the user's device.The result of this research is in the form of an application, according to this method the results of this application have only reached the stage of Develop preliminary form of product.