Reviewerly/exHarmony huggingface dataset:
The Effects of University Students&amp;apos; Team Efficacy on Learning Engagement and Learning Outcomes in Team-Based Learning of General Education

The purpose of this study is to examine the effects of team efficacy on learning engagement and learning outcomes in team-based learning. For this purpose, we analyzed class cases conducted through team-based learning at C University's College of General Education. To achieve our purpose, the results of team efficacy, learning engagement, and learning outcomes of 130 learners who experienced team-based learning were analyzed. As a result of the study, first, from analyzing the correlation between team efficacy, learning engagement, and learning outcomes, we found that there was a significant positive correlation between the differences among the three variables. Second, in team-based learning, team efficacy had a positive effect on learning engagement and learning outcomes. Third, from analyzing whether there were differences in team efficacy, learning engagement, and learning outcomes by gender and field in team-based learning, we found that female students partook in higher learning engagement than their male counterparts. However, we also found the same statistically significant difference between female and male students in regards to their majors, as the data showed that female students enrolled in the humanities scored higher when it came to their learning engagment, but not as high as male students taking science and engineering courses. Based on the results of this study, we suggest that systematic instructional design is needed to promote the formation and development of team efficacy in order to increase learner engagement in team-based learning and to maximize learning outcomes.
ATTITUDES AND KNOWLEDGE OF STATE JUNIOR GIRLS IN BANJAR DISTRICT REGARDING BLOOD ADDING TABLETS

Iron deficiency anemia is a problem that is often found and attacks all age groups. Anemia can attack anyone, but most often attacks women of childbearing age, especially teenage girls. Adolescent girls are still a public health problem. The teenage girl period should be an important phase in preparation for becoming a mother-to-be so that she is required to fulfill nutritional needs. The effects of anemia are slowed growth and development, fatigue, decreased endurance and increased susceptibility to poisoning. Adolescent girls have a higher risk of experiencing anemia than adolescent boys. Iron lost due to menstruation and iron needs that are not yet met from food can be met by consuming blood supplement tablets. The aim of this research was to determine the level of female students' knowledge and the importance of taking blood supplement tablets as teenagers. The subjects in this research were 125 female students in class 8 A-H of SMP Negeri 3 Martapura, Banjar Regency. To obtain the sample in this study using the Slovin formula with an allowance of 5%, 95 female students were obtained in this research sample which shows that the average of 95 female students with 20 questions obtained a score of 15.03, median 15/20, range 9 /20 in the very good category.
PEMODELAN PEMANENAN AIR HUJAN UNTUK MENDUKUNG KAMPUS HIJAU DAN PENGURANGAN ANCAMAN BANJIR

High rainfall has two conflicting effects. On the one hand, it is beneficial because it has the potential to be used to replace conventional raw water sources. On the other hand, it creates disadvantages caused by flooding. The purpose of this study was to determine the design of a rainwater harvesting system based on the geometric model of the building and the rain regime in such a way that the collected water can replace the use of groundwater so far while at the same time reducing the urban drainage load. The sequential research steps include literature study, determining analysis parameters, designing a Rainwater Harvesting System (RHS) model, creating a spreadsheet-based application (simulation table) for analysis of the RHS's performance, collecting data, analyzing the RHS model using a simulation table, and making conclusions. The RHS simulation designed for the Polmed campus lecture building produces a tank capacity of 45 m3 with a water-saving efficiency of 25% and an efficiency of reducing peak rain runoff of 67.5%. The RHS analysis table resulting from this study can generally be used to design an RHS.
PENGARUH ANGKA KEMATIAN BAYI, ANGKA PARTISIPASI SEKOLAH, DAN RASIO KETERGANTUNGAN TERHADAP INDEKS PEMBANGUNAN MANUSIA

This study aimed to analyze the effect of infant mortality, school enrollment rate, and dependency ratio on the Human Development Index in districts/ cities of Bali Province. The data used in this study is secondary data for 6 years in 9 districs/cities Bali Province were obtained from various sources such as CPM and the Bali Provincial Health Department. The analysis technique used is panel data regression. The study showed that the infant mortality,school enrollment rate, and dependency ratio simultaneously affect the human development index in districts/ cities of Bali Province. Partially, the infant mortality rate and dependency ratio have a significant and negative effect on the human development index in n districts/ cities, Bali Province, while the school enrollment rate was positive effect but an insignificant effect. &#x0D; keyword: infant mortality rate, school enrollment rate, dependency ratio, human development index
Implicit Aspect Extraction Techniques in Sentiment Analysis: A Survey

Sentiment analysis is a Natural Language Processing (NLP) research field that uses texture data and machine learning approaches in analyzing sentiments, behaviors, and emotions. People use social media to express feelings in various forms of sentiment. Feelings of fear, worry, sadness, anger, and gratitude were expressed in an online social network. It might sometimes be difficult to get the proper sentiment associated to the aspect. Several feedback texts in which the sentiment is expressed indirectly or implicitly. The task of detecting and extracting terms important for opinion mining and sentiment analysis, such as terms for product qualities or features, is known as aspect extraction. The primary purpose of this research was to discuss and classify techniques for implicit aspect extraction or feature extraction, as well as to address previous research works on sentiment analysis. A few limitations and challenges had been discovered from the previous studies and the future direction of sentiment analysis can be explored further in more depth.
A Review Of Detection Technique For Flooding Zone And Landslide Susceptibility Zone

Floods as one of natural disaster can trigger landslides. Floods and landslides generally occur on a small micro scale and usually produced on a large scale map. Several data parameters are used to describe the distribution area of flooding and landslides, such as Topographical, Geological, Land Use/Cover, Floor Area, Rainfall, Soil, River/Stream, Roads/Street, Seismicity, Intense Precipitations, Building Footprint Area, and Population. Prediction of flood zone and landslide susceptibility zones uses data parameters that are analyzed using a quantitative approach. Meanwhile, combination with a qualitative approach is usually used to analyze the data parameters that more influence on the occurrence of floods and landslides based on the frequency of disaster events. This paper is attempts (1) to review methodology used to predict flood event zones and landslide susceptibility zones or floods that trigger landslides with quantitative approaches, qualitative approaches and combinations thereof and (2) to perform eligible data used or material as driven factor and subfactor triggering flooding and landslide. From the acquisition of 109 references paper related to the prediction of flood disaster zones or landslide vulnerability zones, about 87 references paper were obtained that linked flood disaster zones and landslide vulnerability zones and used as input material. Based on selected paper identified particular parameter (12 factors and 17 subfactor) were used to describe the distribution area of floods and landslides.&#x0D;
Menangani Ketaksaan dalam Transliterasi Mesin Jawi - Rumi menggunakan Pengelasan Naive Bayes Multinomial (NBM)

This paper discusses the problem of ambiguity in Jawi - Rumi machine transliteration for Jawi homograph words. Machine transliteration (MT) is the process of converting a script from source text to target text automatically. In the context of Malay MT for Jawi - Rumi, there are difficulties in obtaining high -accuracy transliteration of homographical Jawi words. Homographs are words that are the same spelling, but have different meanings and pronunciations. In the old Jawi spelling there were many homograph words, while it was successfully reduced when “Pedoman Ejaan Jawi yang Disempurnakan” (PEJYD) was first introduced by Dewan Bahasa dan Pustaka (DBP) in 1986. The main issue in the study of Malay Jawi - Rumi machine transliteration was word inaccuracy when the Jawi word is transliterated to Rumi. For example, the word “بيرو” can be transliterated to ‘biru’(blue) or ‘biro’(bureau), the word “بيليق” can be transliterated to ‘bilik’(room) or ‘belek’(turn around). This paper proposes that the Multinomial Naive Bayes (NBM) classification method be used for homograph unambiguity for TM Jawi - Rumi. Test results found that the accuracy of using this method can reach up to 67 percent.
Comparative study of two imputation methods in R package for RGB color histogram data

Multiple imputation (MI) is a powerful tool in handling missing data issue. This paper provides a comparison of the multiple imputation method in Amelia II package and MICE package in R. Both packages are well-known and incredible to conduct the missing data research in numerous domains. There are very limited researches comparing the multiple imputation combined with other techniques in the image data context. We employ the mean absolute error (MAE) error metric to evaluate the accuracy on the predicted values based on 20% and 50% of missing data percentages. Although the implementation of MICE is time consuming, the result shows that MICE can deal with large amount of missing values while Amelia II is only capable to deal up 20% amount of missing values. Based on the MAE result, both packages show that they are superior on the particular variables.
Research on Prediction of Breast Cancer Based on BP Neural Network

Breast cancer, as the most common cancer in women worldwide, poses a great threat to human life. Therefore, the prediction of benign and malignant breast cancer is particularly important. In this paper, from the perspective of machine learning model, BP neural network model is used to predict the incidence of breast cancer. In the fitting of the neural network, the regression R value is selected as an observation index, and the R value is 0.99126. The fitting degree of the model is good, which proves that the model has better availability. The model can be applied to the prediction of benign and malignant breast cancer in hospitals, and the idea of the model can also be used for the prediction of other diseases.
DIGITAL CREATIVITY NFTS OR LIES UNDER THE GUISE OF CREATIVITY IN THE DIGITAL AGE

Currently, the development of digital technology is advancing rapidly, all the information needed can be accessed very easily. One of the digital technologies today is NFT. "Non-Fungible Token" or stands for NFT, which means Token that cannot be exchanged. NFTs themselves have their own serial number on each work created through the Blockchain. There are many things that can be used as NFTs, including photos, profile pictures/avatars, videos, artwork, music, games and gifs. In its application, NFT files can be works of art such as paintings, music clips, videos, games. As time goes by, NFTs can be used in the industrial world. An example of its application is as an official record of the Land Agency. The purpose of writing this paper is to show whether NFTs are a new digital creativity or just a lie under the guise of digital creativity. This research uses a qualitative approach method obtained through Case Studies with literature study data collection.
The role of learning digital systems in improving employee productivity

In today's competitive world, the most important goal of any organization is productivity - a philosophy and approach grounded in improving strategy. Productivity must span all sectors of society like a chain. One of the greatest challenges facing governments is providing comprehensive systems based on technology and information, including human development programs. Information and communication technology has revolutionised many daily work processes. The study is a descriptive and applied investigation that encompasses all public office personnel within Balkh Province. The findings reveal a predominance of government workers, consisting of 110 tons, 41 Bachelor's degrees, 59 Bachelor's degrees, 8 Master's degrees, and one Doctorate degree. The study utilized a 25-question questionnaire and alpha value of 0.82, indicating good reliability. The study revealed that, as per the respondents' perspective, effective factors in corporate training include integrating computers in the curriculum, investing significantly in enhancing employee capability, and organizing training workshops.
SOLUTION SELECTION FOR FASTER ESSENTIAL MATRIX BASED STEREO VISUAL ODOMETRY

For autonomous navigation systems used in robots and self-driving vehicles, the usage of sequence images captured from single or multiple cameras for localization has been widely adopted due to both the low cost and high accuracy. The approach using essential matrix estimation for calculating the transformation is so popular that the essential matrix is estimated from five points which is the minimum number of points for pose estimation. However, each five pairs of points provides up to ten solutions for the essential matrix. In this paper, we propose an approach to improve the computation speed of the essential matrix by selecting the number of solutions based on a comparison with the previous essential vector of the two consecutive frames. The proposed method evaluated on the KITTI dataset shows at least 15% reduction in computation speed compared to the conventional method.
Analisis Penerapan Sangfor Ngaf Firewall Sebagai Keamanan Pada Jaringan Internet Universitas Muhammadiyah Purwokerto

Computer network technology is developing very rapidly, but as a result of these technologicaldevelopments causing the exploitation of security gaps in network systems by exploiting securitholes, unauthorized users can easily commit crimes in the cyber world known as Cyber CrimeSniffing, Spoffing, DoS attacks. Sangfor NGAF is a network firewall security tool designed to filteand check across networks and applications, The analysis is intended to provide an overview ofsecurity vulnerabilities in network systems where these steps are important steps to determine thebest way to close security holes in the network. In this analysis there are steps taken, namelPreparation, Observation, Data Collection, and Network Analysis. The results of this study areseveral servers that have been compromised, from the analysis results obtained there are variouskinds of attacks including WebShell or Backlink, Bot Controlled, Brute-force, SQL Injection, and so on.
Student Enrollment Performance of Telkom Schools in 23/24 schoolyear using k-Means Clustering

Nowadays, competition in student enrollment among schools has growth significantly. Every school tries to get as many new students as possible. Telkom Schools, an integral part of the Telkom Education Foundation, has taken strategic steps that reflect their commitment to providing high quality education relevant to the times’ demands. Fifty-one schools consisting of thirty-two kindergartens, three elementary schools, four middle schools, and twelve high schools have different enrollment achievements for new students. Therefore, a method is needed to group the performance of new student admissions for each school so that it is easier to make related policies. By using clustering method, each school can be grouped into similar performance and evaluated in real time. K-Means algorithms were explored to find the best cluster and analyzed them in Elbow method, Sillouhete score, Davies-Bouldin Index, and Dunn Index. The result show that the performance of student enrollment in Telkom schools can be divided into two clusters.
Implementasi Sistem Pakar Menggunakan Metode Forward Chaining Untuk Mendiagnosa Penyakit Rahim

The problem at the present time, especially in the field of health is part obstetrics uterine disease that causes high mortality rates in women , not only in the country of Indonesia is also the world . This happens due to the high number of deaths of women who develop uterine disease . Lack of information and knowledge on diseases of the uterus also cause new problems to the high rate of mortality. The public does not know the symptoms and attack patterns of uterine disease is due to a lack of information about the disease of the uterus. Application of expert system is a computer -based expert system that uses facts and reasoning techniques to solve problems that typically can only be solved by an expert or a doctor . The application of expert systems produce the output of an application program that can be used to diagnose diseases of the uterus in women based on facts or symptoms experienced by users. The method used is forward chaining. Testing the system with forward chaining method begins with questions about the facts or the symptoms experienced user, then the resulting conclusions based on the results of the analysis system .
PENINGKATAN KEMAMPUAN MENYIMAK MELALUI KEGIATAN MESATUA

This research is aimed at exploring the listening skills processing activity of class I students in SDN 1 Selat and investigating to what extend the processing result of listening skills can be improved through mesatua activities. This study is a classroom action research using Kemmis and Mc. Taggart research model. This study was conducted in 2 cycles with 8 meetings in cycle 1 and 8 meetings in last cycle where every cycle consisted of the following steps: planning, action, observation and reflection. The sample of this study was 21 class I students comprissing of 12 male students and 9 female students. The instruments used in this study was observational sheet of students activities using masatua activities. The data in this study were quantitative and qualitative data. Quantitative data were analyzed by using descriptive statistic to compare the result from the first and second cycle. While qualitative data from field notes and interview were analyzed through the following steps: data reduction, data display and data verification. The results of this study depicts that there was the improvement of listening skills through mesatua activities, proven by the listening skills mean score in pre-intervention which was 48,64 % gained 16,17 % improvement to 64,81 % in cycle I and keep increasing the gain into 17,50 % and become 82,31 % in cycle II.
Megaprojects and their potential impacts on innovation and technological progress

Risaverkefni (e. Megaprojects) eru mjög flókin vegna tæknilegra, efnahagslegra, fagurfræðilegra og pólitískra þátta og eiga sér jafnan öfluga talsmenn en einnig harða andstæðinga. Í hagfræðiritum er ríkjandi viðfangsefni greining á mistökum og áhrifum þeirra á kostnað og framkvæmdatíma. Fjöldi tilvika og tölfræðilegra greininga hafa sýnt fram á að þessi mistök eru ekki handahófskennd heldur tengjast frekar dæmigerðum ferlum við skipulagningu og framkvæmd risaverkefna. Ekki er hægt að nota þessi dæmigerðu mistök sem algild rök gegn risaframkvæmdum almennt. Það eru mörg dæmi um risaverkefni sem hafa reynst hagkvæm, jafnvel eftir erfiðleika á upphafsstigum verkefnisins. Risaverkefni geta stuðlað að nýsköpun og tækniframförum. Þetta er hægt að greina á örkvarða með ítarlegri virknigreiningu og umfangsmeiri kvarða með því að búa til líkan af innbyggðum vaxtaráhrifum. Hægt er að nota kerfishreyfingu (e. system dynamics) og samþætt matslíkön til að bera kennsl á möguleika risaverkefna til að undirbyggja tækniframfarir. Þar sem risaverkefni, sem hugsanlega fela í sér möguleika á tækniframförum, krefjast langtíma- og að hluta til spámennsku greiningar varðandi kostnað og ávinning er nauðsynlegt að framkvæma vandaðar áhættugreiningar til að forðast fjárhagslegt tap vegna takmarkaðra verkefnaáætlana og hlutdrægni sem á rætur í óhóflegri bjartsýni.
Pemertahanan Bahasa Melayu Riau Pada Mahasiswa Program Studi Sastra Melayu Fakultas Ilmu Budaya Universitas Lancang Kuning

The research conducted by the author discusses the preservation of Riau Malay language among students majoring in Malay literature at the Faculty of Cultural Sciences, Universitas Lancang Kuning (case study: Riau Malay language speakers from the 2017 and 2018 cohorts). The research problem focuses on the preservation of Riau Malay language by these students based on their language attitudes in maintaining Riau Malay language, which is the identity of the Malay ethnic group in Riau. The background of this research is to determine the percentage of Riau Malay language usage and the language attitudes of the students. The objective is to understand how Malay literature students preserve Riau Malay language at the Faculty of Cultural Sciences, Universitas Lancang Kuning. The author used a questionnaire distributed to the students to collect data, and the data analysis was done in a written format. Based on the research results, it is concluded that students who are speakers of Riau Malay language from the 2017 and 2018 cohorts are preserving the language. When communicating with lecturers, 26 students (52%) out of 50 students (100%) use Riau Malay language inside the classroom, and 23 students (46%) out of 50 students (100%) use it outside the classroom. When communicating with classmates, 27 students (54%) use Riau Malay language inside the classroom, and 29 students (58%) use it outside the classroom. However, when communicating with administrative staff, 34 students (68%) out of 50 students (100%) do not use Riau Malay language within and outside the campus environment. Similarly, when communicating with students from different study programs, 37 students (74%) out of 50 students (100%) do not use Riau Malay language within and outside the campus environment.
HUMAN CAPITAL MANAGEMENT AND ITS IMPACT ON THE DEVELOPMENT OF MODERN MARKETING PERFORMANCE IN ORGANIZATIONS

The study aimed to measure the impact of human capital management on the modern marketing performance in organizations. A random sample of 150 marketing managers from industrial organizations operating in the Hashemite Kingdom of Jordan was selected. To achieve this goal, a questionnaire was prepared based on the study's hypotheses. The study's population included marketing managers, department heads, and marketing technicians working in the researched organizations. The study adopted a descriptive-analytical approach and used the Statistical Package for Social Sciences (SPSS) as the statistical tool. The study yielded a set of results, among which it was found that human capital, with its dimensions of training, experience, skills, and knowledge, significantly influences marketing performance development. Based on the study's findings, it is recommended that the management of the researched organizations pay great attention to human capital and preserve its assets due to its prominent role in enhancing marketing performance for these organizations.