Reviewerly/exHarmony huggingface dataset:
PEMBUATAN GAME 2D HORROR “BLACK, WHITE, AND …” DENGAN PLATFORM WINDOWS

"Black, White And ..." is a 2D Horror game with a sub-genre psychological horror game developed for Windows PC. This game was made using Unity as the game engine with C# as the programming language. In this game, the player will play as an amnesiac girl who has just awoken. The goal of this game is to search for a way out from the strange black and white world. The player will have to survive from the enemy and traps with the ability to move from the black world to the white world and vice versa. to ward the enemies, the player had to scream. The game has implemented a Voice Recognition feature to differentiate between scream or not scream. The testing has been done by using blackbox testing, alpha testing, and beta testing method. The test results show that most of the respondents experience a sense of fear and tension as well as the intention to play the game again.
Utilization of E-Learning Media Portal Kemdikbud Learning House During Pandemic Learning to Increase Learning Motivation of Junior High School Students

The education system in Indonesia is experiencing new challenges due to the Covid-19 virus outbreak, which has caused the entire learning system in educational institutions to be shifted to online (online) methods.The implementation of online learning that is too long has an impact on students' learning motivation.Too long a time makes students bored because almost every day they have to sit in front of devices such as smartphones, laptops, and so on to access online learning.The policy of studying at home demands a high motivation from students to learn, while what is happening at this time is a decline in student learning motivation.In this case, the teacher is required to be able to use technology in order to continue the continuity of teaching.Online learning media in the form of "E-Learning Media Portal for Home Learning Kemdikbud" is one solution in the midst of the Covid-19 pandemic to increase student learning motivation.This study aims to explain the benefits of E-Learning to increase students' learning motivation.This study uses a quantitative phenomenological approach and uses an interactive model of Miles & Huberman.Data were collected through in-depth interviews, observations, and questionnaires.The results showed an increase in students' learning motivation in social studies lessons by utilizing five features in the Learning House Portal such as: Learning resources, Electronic School Books (BSE), Question Banks, Cultural Maps, and Maya Classes (google meet and zoom meetings) as one of the Learning Resources.However, it also has obstacles from several factors such as the unpreparedness of students in the distance learning process, the conditions of the learning environment that are not conducive, the condition of the parents of students, the lack of support for facilities provided by parents, and the psychological state of students which includes: talent, intelligence, attitudes, perceptions, and interests are also factors of student success in learning.
An Analysis of Reading Texts in English Textbook Based on Teachers’ Perception

This research aims to analyze reading texts in English textbooks based on teachers' perceptions. This research data were the reading texts in the student's English textbook of the 2013 curriculum for grade XI semester I. The Source of the data in this research was divided into two. First is the analysis checklist of reading texts in the students' English textbook of the 2013 curriculum for grade XI semester three analysts filled me. Two analysts are the English teachers at different schools that implement the 2013 curriculum, while the other is the researcher herself. Second is the interview with the teacher, who is also one of the analysts, to get more data about the teacher's perception of the reading texts, especially about the strength and weaknesses of the indicator. After the researcher collected and analyzed two pieces of data, she found in this research that reading texts fulfills the good criteria of reading text in terms of interest, authenticity, cultural background knowledge, text layout, text visuals, and values. On the other hand, the lexical knowledge in the reading text is not suitable for the students' level. There are many unfamiliar words found in each reading text. Then, some of the sentences are included in complex sentences that are not suitable for the students' level, especially for the second grade of senior high school students.
PERANCANGAN SISTEM INFORMASI SEKOLAH MENENGAH ATAS KRISTEN KASIH KEMULIAAN BERBASIS WEB

The world has entered the era of digitalization where information technology is growing very rapidly, especially technology related to the internet. Almost every aspect of life uses the internet as a practical and worldwide information medium. With the development of information technology, many things can be produced in certain fields including education; such as creating a website to advertise schools and/or campuses so that more people are known to be interested in registering their children so they can continue their education, creating a database containing a list of school/academic grades to monitor the progress of students who determine their graduation correctly. and accurate, or save teaching materials online so that they are easy to learn when learning must be online, etc. In this case, SMAK Kasih Kemuliaan utilizes the internet network to introduce information about the school as completely and interestingly as possible. Thus the school can be known by the wider community and even abroad. The information technology used by SMAK Kasih Kemuliaan is the school's web profile as complete as possible, besides that the public is expected to be able to access school information easily and efficiently. By using the school's web profile, it is hoped that prospective high school students will get the school they expect. Thus, SMAK Kasih Kemuliaan can be their main goal. With the increasing number of new students at SMAK Kasih Kemuliaan, the school will progress and develop, not closing the hope of becoming one of the leading schools.
The Use of Instagram to Boost Students’ Writing Skill In Explanation Text

Introduction: Writing is the skill of expressing ideas, feelings, and thoughts arranged in words, sentences, and paragraphs. Writing skills are related to the ability to arrange graphics such as letters, words and certain language sentences used in written communication so that readers can understand messages or information. Objectives purpose of this research is to improve students' writing skills using Instagram in explanatory text. This research is a classroom action research which includes several stages. Namely reconnaissance, planning, action, observation, and reflection. The subjects of this study were 23 second semester students (class A) English Education Study Program, University of Muhammadiyah Metro Methods This research was conducted in two cycles and obtained qualitative and quantitative data. The data collection instruments were observation checklists, interview guidelines, and writing tests. Data in the form of field notes, interview transcripts, observation checklists, and scores. Results The results showed that the use of Instagram in the teaching and learning process significantly improved students' writing skills. Students can develop their ideas to produce explanatory texts. Based on quantitative data, the average score of students' writing skills increased. In the pre-test, the students' mean score was 50.82. Then, after Cycle 1 (post-test 1), the students' mean score from post-test 1 was 62.26. Finally, after Cycle 2 (post-test 2), the average score of students on post-test 2 was 76.08. Conclusion conclusion, the use of Instagram can significantly improve students' writing skills.
ANALISA DATA DAN MASALAH DALAM PERANCANGAN INTERFACE e-LOCATION kAFE

Payakumbuh has a population of 78,702 people with teenagers and adults, which makes many internet cafe businesses appear with a very attractive and comfortable internet cafe display design and good facilities. This makes people hesitate in choosing which cafe they want to visit because cafes with a nice and comfortable appearance must have expensive menu prices. And there are people who get information about the internet cafe from the information circulating in the surrounding environment with the appropriate appearance and the right price for themselves but do not know where the internet cafe is. So the purpose of this research is to design a web site-based interface for the map page of the spread of internet cafes and important information pages for internet cafes in the city of Payakumbuh. The method used is a system life cycle with a focus on problem analysis and data obtained from the results of literature studies, interviews, and observations. The results obtained from this study are in the form of an e-location cafe system interface design.
Co-Relation of Psychological Stress &amp; Self-Esteem on Suicidal Thoughts and Behaviors among DPT Students

Background: Stress can disrupt an individual's bodily and mental wellbeing.It is apt to state that Professional education is a stressful phase for numerous candidates, and can result in a negative effect on one's emotional health and academic performance.Objective: The objective of the study was to identify the correlation of Psychological stress and self-esteem on suicidal thoughts and behaviors among Doctor of Physical Therapy (DPT) students.Methodology: Descriptive Cross-Sectional Survey was conducted for the duration of 8 months from July 2019 to February 2020, after getting approval from the institutional research committee FUIRS and the sampling technique was convenient sampling.The study included 298 DPT students (13.70%) males and (86.30% females) with a mean age of 21.9 +1.59 years.For the evaluation of suicidal thoughts and behavior, psychological stress and self-esteem.We used the suicidal behavior questionnaire revised version SBQ Revised, student stress inventory scale SSI, and Rosenberg questionnaire RBQ respectively.Statistical analysis was done through SPSS version 21.Results: The results showed that there was a non-significant very weak negative correlation between Suicidal thoughts & behavior with student's self-esteem (r = -0.1,p = 0.084) and a significant weak positive correlation between Suicidal thoughts & behavior with student's psychological stress (r = 0.309, p = 0.001).Conclusion: The results showed that DPT students constitute a vulnerable group having a weak positive correlation of Psychological stress on suicidal thoughts and behaviors.
Urban Street Cleanliness Assessment using Deep Learning

Implementation of smart cities is going on all over India. The key focus in smart city is to automate the tasks required to monitor the management activities and effective usage of resources. One important task in the city management is keeping city clean and the man power utilised for it. An automatic garbage monitoring system would help the administration to plan and allocate work for garbage cleaners in an efficient way. CNN is used to identify the street garbage categories, count the number of garbage. And the system is much efficient manner with accuracy. The results are incorporated into the street cleanliness calculation framework to ultimately visualize the street cleanliness levels, which provides convenience for City Corporation to arrange clean up personnel effectively.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS APLIKASI ANDROID PADA MATERI SISTEM IMUNITAS

This research is a research and development research and development (R&amp;D) that aims to develop interactive learning media in the immune system material based on android applications. The learning media developed in this study is a form of learning media innovation that is able to follow the modern era by utilizing the Android system through the Playstore feature. The product trial developed was carried out on students of class XI Science SMA N 1 Bandar Sribhawono, before the product trial was carried out a validation stage was carried out by a team of experts from the Muhammadiyah Metro University lecturer. Based on the data analysis, it was obtained that the overall percentage value of the expert team was 90.8%, so the media developed was included in the "very feasible" category for use. The product trial phase for students obtained results for the good category of 64.8% and the very good category of 27.4% so that the results obtained for the feasibility of the product were 92.2%. The results of these calculations can conclude that this android-based application is "very feasible" to be used in the learning process. Kata Kunci: android, Media Pembelajaran Interaktif Analisis Kebutuhan, Pengembangan
Exploring EFL Students’ Speaking Anxiety of English Teacher Education Program at One Public University in Jambi

Speaking is one of the most difficult skills in language learning particularly in learning English as a foreign language. The purpose of this qualitative study was to explore the issues of speaking anxiety, the factors influencing their speaking anxiety, and the strategies they employed to alleviate the anxiety at one English teacher education program in Jambi, Indonesia. In order to collect the data, a semi-structured interview was employed and guided by an interview protocol to stimulate the participants in answering the questions during the interview. Due to the Covid-19 pandemic, we only had access to invite 12 students to participate in our study-they were nine male and three female student teachers. To select the participants, we employed purposive sampling with a convenience case strategy. Through thematic analysis (Braun and Clark, 2006), we identified three major themes of factors influencing the participants’ speaking anxiety, including 1) language barrier (Grammar, vocabulary, pronunciation, and fluency); 2) psychological issues (low motivation, and personality); and 3) learning proponents (lecturers, classmates, and unfamiliar topic). To alleviate their anxiety, the participants have undertaken strategies, such as 1) self-management (self-practice and doing positive activities) and 2) getting-help strategies (friends’ help and motivation).
Mandarin Language Material using Artificial Intelligence for Z-Generation student

This aims of research to develop an artificial intelligence-based Mandarin learning media for the millennial generation that is interesting and can be learned anywhere. The content of the latest material determined in this study is a descriptive text of the coronavirus in Indonesia. This study uses the Research and Development ADDIE design. The research data was obtained from the results of questionnaires, and validation of material and media experts. In the initial observation, it was found that 96.1% of students aged 15 – 20 years in Malang City are familiar with the use of technology in everyday life, therefore it is necessary to develop a technology-based interactive learning media that can support teachers in teaching students who are also Generation Z. After testing the material, it was found that this learning media has very good quality that score is 84. This research is also considered capable of making prototypes that have very good quality in terms of media that the total final score is 85.
Open knowledge management in university education in the context of digital transformation

Research objectives: this study aims to clarify the role of knowledge in social development, and open knowledge management in higher education. Research Methods: The authors mainly use theoretical research methods. Research through documents: retrospective, summarizing, systematizing theories from domestic and foreign studies, selected documents closely related to the task of knowledge research, knowledge management, thereby, act as a scientific basis for further studies to propose appropriate measures for higher education in Vietnam in the digital transformation period in education. Research results: the study shows the role of knowledge in the process of social development. In addition, the study points out the importance of open knowledge management to the training process in universities.
Optimization of Blood Bag Distribution Routes Using AMPL Software and Nearest Neighbor Algorithm (Case Study of the Indonesian Red Cross Jakarta)

The process of distributing blood bags by the Indonesian Red Cross (PMI) DKI Jakarta uses route selection preferences by ambulance drivers. Basically, this routing problem can impact other aspects such as additional costs, distribution time, fuel use, carbon emissions, and others, so this research needs to propose the best route to minimize travel distance. There are several Hospital Blood Banks (BDRS) in Jakarta that do not receive blood bags at the right time. As an organization authorized to provide blood bag supply, the PMI must distribute blood bag using the 7R concept (Right Time, Right Place, Right Quantity, Right Quality, Right Cost, Right Condition, and Right People). The PMI also has to consider that blood bags are classified as perishable items that need to require fast and precise handling. Therefore, it is necessary to optimize the blood distribution by minimizing travel distance. The optimization model used is the Vehicle Routing Problem (VRP) with AMPL software comparing with the Nearest Neighbor (NN) algorithm. After 4 hours of running the trial, this research has revealed that AMPL software gives the best combination of travel distance than the Nearest Neighbor algorithm, with the differences being approximately 11.52 km.
Using Augmented Reality to improved understanding of the Carbon cycle

We designed an activity to improve students’ knowledge and understanding of the Carbon cycle, which is typically a difficult concept. We wanted users to understand what are the main Carbon repositories and how the element circulates, as well as how human activity is impacting it. Originally designed for an advanced biogeochemistry course on paper, it was later redesigned using augmented reality to reach a wider audience and increase accessibility to both specialized and nonspecialized audiences. The Carbon cycle was divided into 7 stations that will be placed throughout the university campus, and which can be accessed by anybody using an android smartphone. They can choose to complete the whole cycle and answer the activity’s questionnaire, or just browse freely. We expect that the activity will improve understanding of the Carbon cycle in a didactic, playful and non-threatening way, and motivate users to learn independently.
Comparison of Agglomerative Hierarchical and K-Means in Grouping Provinces Based on Maternal Health Services

D uring the Covid-19 period, there were barriers to access for pregnant women to health services that could interfere with maternal health. Therefore, it is necessary to know the achievement of maternal health service coverage in Indonesia during the Covid-19 period in 2020, especially at the provincial level so that it can help the government to determine regional priorities for the fulfillment of more adequate maternal health services. Determination of provincial priorities for the fulfillment of maternal health services can be achieved by grouping the regions according to the characteristics of maternal health services in the local province. Cluster analysis is able to group objects in the form of provinces into one cluster. The clustering methods that will be used are agglomerative hierarchical clustering and k-means clustering. The results of the clustering of the two methods will be compared with internal validation in the form of dunn index, connectivity index, ang silhouette index. The best clustering resuls are obtained by using agglomerative hierarchical clustering alghoritm using the complete linkage similarity function with the resulting five clusters. The results of the identification of cluster characteristics show that cluster 1 with 14 members is categorized as provinces with good coverage of maternal services. Cluster 2 which consists of 15 provinces is categorized as best coverage. Cluster 3 which member are NTT and Maluku is categorized as bad. Cluster 4 which member is East Kalimantan is categorized as sufficient coverage. Meanwhile cluster 5 which member are Papua and West Papua is still on concern because its categorized as worst coverage
Analisis Sentimen dari Aplikasi Shopee Indonesia Menggunakan Metode Recurrent Neural Network

&lt;p align="justify"&gt;Sentiment analysis on unbalanced data will cause classification errors where the classification results tend to be in the majority class. Therefore, it is necessary to handle unbalanced data. In this study, a combination of synthetic minority oversampling technique (SMOTE) and Tomek link methods will be used to handle unbalanced data. In this study, we use the Recurrent Neural Network (RNN) method to analyze the sentiment of Shopee application users based on review data. Shopee Indonesia application review data shows that around 80% of Shopee application users have positive sentiments and 20% have negative sentiments, which means the data is not balance. In this study, preprocessing process with combination of synthetic minority oversampling technique (SMOTE) and Tomek link method used to handle the condition. The performance of the result is quite good, namely 80% accuracy, 84.1% precision, 92.5% sensitivity, 30% specificity, and 88.1% F1-score. It is better than performance of sentiment analysis that without preprocessing to handle imbalanced data.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;/strong&gt;&lt;strong&gt;: &lt;/strong&gt;sentiment analysis; imbalanced data; Tomek link; SMOTE; RNN&lt;/p&gt;
Outpainting Natural Scenery Images by Fusing Forecasting Information

Abstract Image outpainting receives less attention due to the challenges of predicting the spatial content consistency and maintaining the high quality in generated images. All-sides image prediction is a generalized task in outpainting, aiming to extrapolate the outside content for all sides of an image. It is a challenging task to maintain spatial and semantic consistency between the original input and the generated multi-step regions. In this paper, we embed a novel Multi-view Recurrent Content Transfer module into an Encoder-Decoder architecture for long-range all-side image outpainting. A multi-head attention mechanism is leveraged to fuse information from different representation sub-spaces at different positions to enhance the consistency of generated images and the original input. Our model could obtain sufficient temporal information in predicting the extended feature maps, which improves the quality of long-range images extrapolation. We experimentally demonstrate that our proposed method could produce visually appealing results for outside image outpainting against the state-of-the-art image inpainting and outpainting approaches. Modelling the temporal relationship could help generate the outside regions and reconstruct the input regions smoothly and realistically. In addition, an attempt to possibly allow for arbitrary output resolutions is supported as well.