Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF THE EFFECTIVENESS OF ELECTRONIC MEDIA FOR READING COMPREHENSION: EFL STUDENTS' PERSPECTIVES

The advancement of technology has given an impact on education, especially in comprehension way. This means in the world of literature, especially reading people get the benefit of improving their capability in terms of comprehension everywhere and anywhere. Comprehension has given the best impact to develop skills like listening, speaking, and reading. The main focus of this will be reading comprehension with the tools of technology advancement. This is leading to a better quality of learning for the people, especially the EFL students and language learners. There are so many media that allow the reader to access the easiest way to gain information or to develop themselves. Especially in the era of 4.0 where technology became the main media for the people to reach. This is important to give an analysis of the effectiveness of electronic media for the readers in this era. The effectivity allowed the reader to gain easy access, to the improvement and any other kind.
Implementasi Algoritma ARAS Pada SPK Untuk Menentukan Peringkat Dosen Terbaik

In the world of higher education, lecturers are one of the main components in building quality and quantity. Good quality will give good results as well, to improve the quality of each lecturer, it is necessary to have an award given to lecturers from the campus so that it becomes a motivation for lecturers to improve the quality given to students and the community. Amik Mitra Gama is a private campus located in the Duri Riau area, in this case to improve the quality of education one of the steps taken is to give awards and appreciation to the best lecturers who will be selected every year. To realize this, we need an easy calculation system that is carried out in the form of ranking according to the final value, therefore a decision support system using the ARAS method is chosen because it is very appropriate for the selection process and provides convenience in the calculations which are determined based on ranking. The decision support system using the ARAS method uses 8 criteria that are set as a reference in determining the best lecturers, namely Recent Education, Lecturer Functional Position, Lecturer Certification, Number of Journal Publications, Roles in Research, Journal Publication History, Research Grants, and Community Service. There are 10 lecturers in the field of computers who will be used as alternative data with lecturer codes D01, D02, D03, D04, D05, D06, D07, D08, D09, D10. The results obtained from this study are the lecturer code D04 = 0.0974, D06 = 0.0965, D09 = 0.0932, D07 = 0.0903, D03 = 0.0901 was selected as the best lecturer in 2021/2022. So that the results of this study can help the campus to determine the best lecturers every year fairly and be selected based on rankings.
Implementasi Modul Pembelajaran Berbasis Virtual Reality untuk Pendidikan Kedokteran

The Corona-Virus Disease 2019 (COVID-19) pandemic has impacted all levels of society and has disrupted all aspects of life, including education. On the other hand, the current crisis is rekindling the need for online learning opportunities and virtual education programs. Most medical schools have responded to this by turning to online or video-based learning. In the face of a pandemic, maintaining standards in medical education, keeping clinical knowledge on track, and minimizing assessment disruptions are complex tasks to complete. This new environment requires adaptation to prepare future doctors for their roles better. This research will implement an immersive medical learning platform by integrating the real immersive experience of Virtual Reality (VR) into medical education. The use of VR in this study has given satisfaction to users through the PIECES framework analysis by getting a score between 3.9 - 4.2 from the measurement of user satisfaction which means that users are satisfied with the offerings and services of this platform.
Perancangan Sistem Penerbitan dan Verifikasi E-Ijazah dan E-Transkrip Menggunakan Teknologi Blockchain pada Universitas Dinamika Bangsa

With the development of increasingly sophisticated technology, the act of counterfeiting becomes an easy thing to do. An image editor application intended to heed a work of art, has now turned its function into a tool for document forgery. Forgery of a diploma is a form of deviant behavior that violates the rule of law and makes the perpetrator criminal. Economic conditions, low education and the need to get a job are reasons for perpetrators to commit forgery. In addition, political motives are also often a reason to get political office. One of the technologies to anticipate this problem is to apply blockcerts to electronic diplomas. Blockcert is built using blockchain technology that provides transparency and accountability in the storage of certificates and diplomas. This research resulted in a system of publishing and validating e-diplomas and e-transcripts at the University of Dinamika Bangsa which are stored on a private blockchain. The system has been tested and all modules are running properly according to the expected output.
Prediksi Kelancaran Pembayaran Angsuran Pada Koperasi Dengan Metode Naive Bayes Classifier

This study aims to predict the smoothness of installment payments in cooperatives, making it easier for staff to analyze credit lending. Lack of prudence in analyzing credit results in customers who are in arrears in paying installments, resulting in bad credit. To minimize errors that exist, it is necessary to evaluate the provision of loans to prospective debtors. By utilizing past member criteria data in the past that will be used to predict smooth payments using data mining. The data mining technique used is the Naive Bayes classifier method. The prediction process uses the naive Bayes method, namely by determining the probability or opportunity based on the previous member's data, and the results are used to help make a decision. The criteria used are member data: employment, income, house status, number of credits, and type of credit. Based on the naive Bayes method, the results obtained are 90.00% accuracy, 0.880% AUC, 83,33% recall, and 100% precision.
A Heterogeneous Hybrid Cloud Storage Service Using Storage Gateway with Transfer Acceleration and Diff Algorithm

Recently, the cloud service has the potential to replace conventional cluster and grid systems. The objective of migrating apps to the cloud is to minimize maintenance and procurement expenses while simultaneously boosting scalability and availability. However, embra=cing cloud technology created some challenges, such as the complexity of cloud storage. In addition, many clients underestimate if it is not plug-and-play. Each vendor has its access methods, and nonstandard application programming interfaces (APIs) make integrated applications, such as archiving or sharing data with cloud storage, complicated, costly, and require high throughput. Furthermore, organizations did not have many alternatives for implementing high-performance object storage systems in the cloud and on-premises data centers until now. In this paper, we would like to suggest a storage gateway as a solution to this issue and will optimize it using Transfer Acceleration and Diff algorithms to improve the performance, Intelligent Tiering to reduce costs, and Server-Side encryption for extra protection. Moreover, utilizing Storage Gateway has proven can provide more efficient integration between the on-premises data center environment and the AWS Cloud Storage ecosystem that is safer and more reliable. This technology can work in a common data center environment regardless of the vendor used by the company it can communicate seamlessly with the AWS Environment.
Sistem Alert Warning Monitoring Masa Tenggang Kontrak

PT Superintending Company of Indonesia (Persero) (referred to as SUCOFINDO) is a State-Owned Enterprise established between the Government of the Republic of Indonesia and SGS. At this time PT. Sucofindo (Persero) cooperates a lot with other companies, a total of 3458 external supply companies are active in the procurement of goods and services, so that often employees in the general function section have problems remembering the time of the cooperation contract. At this time the general function is still using the system in a way where employees still have to manually input data from every activity of procurement of goods and services in Microsoft Excel. the system used is deemed less effective and efficient, making it difficult to obtain information on a procurement contract. This research was conducted to facilitate the monitoring of a contract. The system uses the PHP programming language and MySQL database. The results of this study are a web-based monitoring information system that provides warning alerts if the contract is in the grace period, as well as providing other information about the stages of the process that have been carried out in a contract.
Design of the Attendance System using RFID and Similarity Metric Learning at Universitas Dinamika Bangsa

Admission of new students at Universitas Dinamika Bangsa has a significant increase, so that the number of active students on campus becomes more. This has an impact on the recapitulation process of lecture absence by study staff to be longer than before, due to the calculation process that is done manually. This research will create a system designed to increase efficiency in lecture attendance activities by presenting an attendance system equipped with an RFID (Radio Frequency Identification) Reader and camera. In addition to the process of digitization of attendance data will be added similiarity metric learning method for validation of student absences that are done periodically. The method to be used in system development is prototyping. This research resulted in a system design with UML modeling and absentee device design.
Analisis Pilkada Medan pada Sosial Media Menggunakan Analisis Sentimen dan Social Network Analyisis

The simultaneous regional head elections were over, but during the campaign until it was decided to become regional head there were many comments, both pro and contra. The city of Medan is one of the regions that will hold the 2020 ELECTION during the pandemic. The Medan City Election has decided that the pair Bobby Nasution and Aulia Rachman have won. This victory certainly gets a variety of comments on social media, especially Twitter. This study conducts sentiment analysis to see the sentiment that occurs, namely seeing negative, positive, or neutral comments. This sentiment analysis uses two methods to see the resulting accuracy, namely Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC). This study also looks at the interactions that occur using Social Network Analysis (SNA). In addition to sentiment analysis and SNA, this study also looks at the existence of BOT accounts used in the #PilkadaMedan. The results obtained from the sentiment analysis show that NBC has the highest accuracy, which is 81, 72% with a data proportion of 90:10. Then on SNA, the @YanHarahap account got the highest nodes, namely 911 nodes. Then from 10326 tweets, 11% were suspected of being BOT by the DroneEmprit Academic system.
Aplikasi Pemertahanan Nama Tempat Berbahasa Minang untuk Menguatkan Nilai Kearifan Lokal

Language maintenance of regional languages is one phenomenon that appears in the middle of a language shift polemic. This phenomenon also occurs in the Minangkabau community where People began to ignore their own language. On the map of West Sumatra, place names are no longer in Minang language. On the other hand, technological developments have led us to an advancement in IT-based mapping technology. This technology has been widely used in various fields including the social sector. However, currently there is no GIS application that focuses on language maintenance, especially Minang, which is a very rich language. This study aims to make an application design based on the name of the place in the Minang Kabau area which has undergone many changes. The method used in this application is the SDLC with a waterfall model. The result is a GIS-based language maintenance application that can be used easily for users to find out the original word, the meaning of the word, and information related to places in West Sumatra.
Rancang Bangun Aplikasai Pemesanan Katering Berbasis Web

The package process and ordering the katering package are carried out by means of the customer directly visiting the katering place. This process has many complaints from consumers who are in the city of Bandar Lampung to come directly to the katering place, when they want to place orders and pay for packages, Packages in companies can be done using internet technology which is better known as (e-promotion). The process of the activities carried out by the (company) in offering food packages through online media (internet), so there is no face-toface between the buyer and the seller of this study resulted in an application that can simplify the booking package foods, based on the results implementai performed by the application ISO / IEC 25010 standard is tested based on functional suitability, performance efficiency and operability, so it can be concluded that it is feasible to be applied to help package ordering and marketing processes..
Coherence on Undergraduate Thesis Abstract Written by English Language Students

Coherence is one of the important aspects in academic writing. It affects the reader’s understanding about a text. Particularly in education, academic writing becomes the requirement for undergraduate students to claim their graduation by writing a thesis. Thesis has some important parts, one of them is a thesis abstract which delivers a brief summary about the whole thesis. Therefore, the students need to write the thesis abstract coherently to provide positive first impression and build the reader interest toward the thesis. However, many of the students are not aware to this demand. Based on the issue, this study aimed to reveal the coherence on undergraduate thesis abstract written by English Language Education Study Program students of Lambung Mangkurat University. This study applied descriptive qualitative approach. There were four abstracts from higher grade theses and four abstracts from lower grade theses analysed in this study that were selected by using purposive sampling. The analysis of coherence in this study was conducted by content analysis method based on the topical subject progressions applied in the abstracts. This study found that the coherence in the four abstracts of higher grade theses was consistent and the coherence in the four abstracts of lower grade theses was varied by the finding of two from four abstracts had failed to reach coherence. Based on the findings, it was suggested for the students to improve and build awareness in writing a coherent abstract for their thesis as a academic writing product. Keywords: coherence, topical subject progression, undergraduate thesis abstract
Penentuan Pencemaran Air Menggunakan Metode Self Organizing Maps (SOM)

Water pollution is the entry of a component or substance into water, which causes water quality to decrease. The decrease in water quality causes the water to be unfit and affects the community's health. Therefore, an application for determining the water quality level building using the SOM algorithm with several data input parameters: Fluoride, Hardness, and Nitrite. These parameters use for data clustering in determining clean and polluted water. The SOM algorithm arranges SOM neurons based on the data input values ​​in a SOM cluster. For testing the SOM method on 114 data, the Silhouette Coefficient value was used to find the best number of clusters. Silhouette Coefficient will evaluate clustering the proximity of the distance between data. The test was carried out 27 times with variations of the experiment with the learning rate starting from 0.1 to 0.9 and the number of clusters from 2 to 4 to get the best Silhouette Coefficient value. The result of clustering the best silhouette coefficient value obtained is 0.7276473444141 with 3 clusters and the learning rate of 0.2.
The Effect of Suggestopedia Method on Young Learners’ English Vocabulary Achievement at Destawan Hindu Orphanage

English is a very important language to be taught and learnt because nowadays it is spoken by billions of people worldwide in many aspects of life. It makes people across the globe with English as L1, L2, and also foreign language need to learn English as well especially Indonesia. This study aimed to investigate the significant effects of the Suggestopedia method implementation on young learners’ vocabulary achievement. This study applied a quantitative method with a quasi-experimental design. The population of this study was children at the Destawan Hindu orphanage. The sample was 10 children classified as young learners (ages 7-12). Data were collected through a pretest-posttest which includes 20 MCTs. The experimental and control group data were analyzed using an independent samples t-test and Glass’s delta effect size. The finding revealed that the mean score of the experimental group was higher than the control group with a large Glass’s delta effect size (2.98 more than 0.80). In conclusion, the implementation of the suggestopedia method has a significant effect on young learners’ vocabulary achievement.
The Phonological Interference of Balinese Language of Jagaraga Dialect in English Pronunciation

English is a very important language to be taught and learnt because nowadays it is spoken by billions of people worldwide in many aspects of life. It makes people across the globe with English as L1, L2, and also foreign language need to learn English as well especially Indonesia. This study aimed to investigate the significant effects of the Suggestopedia method implementation on young learners’ vocabulary achievement. This study applied a quantitative method with a quasi-experimental design. The population of this study was children at the Destawan Hindu orphanage. The sample was 10 children classified as young learners (ages 7-12). Data were collected through a pretest-posttest which includes 20 MCTs. The experimental and control group data were analyzed using an independent samples t-test and Glass’s delta effect size. The finding revealed that the mean score of the experimental group was higher than the control group with a large Glass’s delta effect size (2.98 more than 0.80). In conclusion, the implementation of the suggestopedia method has a significant effect on young learners’ vocabulary achievement.
The state of the art of Natural Language Processing - a systematic automated review of NLP literature using NLP techniques

Abstract Nowadays, natural language processing (NLP) is one of the most popular areas of, broadly understood, artificial intelligence. Therefore, every day, new research contributions are posted, for instance, to the arXiv repository. Hence, it is rather difficult to capture the current "state of the field" and thus, to enter it. This brought the idea of applying state-of-the-art NLP techniques to analyse the NLP-focused literature. As a result, (1) meta-level knowledge, concerning the current state of NLP has been captured, and (2) a guide to use of basic NLP tools is provided. It should be noted that all the tools and the dataset described in this contribution are publicly available. Furthermore, the originality of this review lies in its full automation. This allows easy reproducibility and continuation and updating of this research in the future as new researches emerge in the field of NLP.
Miniaturized microscope for non-invasive clinical diagnosis of severe inflammation in sepsis (Conference Presentation)

Sepsis is a life-threatening medical emergency caused by body's extreme inflammatory response to an infection. The important features of sepsis are the alternations in leukocyte numbers, enhanced adhesiveness of leukocytes on the blood vessel walls, and impaired microvasculature network that can ultimately lead to organ failure and death. To non-invasively quantify these parameters, we have built a miniaturized oblique back-illumination microscope capable of high-resolution and label-free imaging of human microvasculature in vivo. The developed instrument was used to capture high-speed videos of circulating, rolling, and adherent leukocytes. We have also developed a deep learning data analysis algorithm for rapid diagnosis of sepsis without drawing blood.
AI-Powered Smart Contracts: The Dawn of Web 4. O

&lt;p&gt;Smart contracts backed by artificial intelligence hold the key to a better tomorrow. As smart contracts begin to incorporate artificial intelligence, many previously steady marketplaces might instantly turn unpredictable. A smart contract is a program that operates autonomously on a blockchain. The program's decentralization ensures its safety, openness, and credibility. However, since they are static in essence and cannot adapt to new circumstances due to their immutable nature, these programs are limited in the tasks they perform. As a remedy for this shortcoming, we propose a few novel use cases where we solve some of the huge problems in a wide array of domains by incorporating Artificial Intelligence in these programs called Smart Contract. With consideration of hardware and new frameworks, this manuscript also discusses the potential of utilizing AI in such contracts. We describe the usage of AI to monitor the activity of these smart contracts in real- time and to provide an alert if an attack seems imminent. We also offer a new approach for marketing businesses and organizations on the blockchain (DAO) that is likewise decentralized and makes use of AI in the smart contract to enable incentivization. The use of AI in Smart Contracts also opens the door to the possibility of other applications, such as Fashion Design in Gaming.&lt;/p&gt;
Exploring the Effectiveness of Preordering Technologies in the Food Industry to Other Technology Solutions

Abstract: There is frequently a sizable influx of people looking to interact, shop, or eat on college campuses as well as in public locations like food courts and retail malls. But because of the heavy traffic, there are frequently huge queues at the restaurants, which costs customers a lot of time. The current COVID-19 outbreak has also highlighted how crucial it is to minimise intimate contact between people. As a result, using contactless ordering and payment systems has grown in popularity as a way to reduce the spread of disease. Hence, using effective and secure contactless transaction technologies may help to improve customer service while also emphasising public health and safety. To solve the problem of lengthy queues at restaurants in congested public spaces. We will make an application which it let you schedule a certain time for your order to be ready by placing an advance food order while shopping or even from home. Then, simply go to the food outlet and collect your food, ready to enjoy. Our Work can be used in a restaurant and universities cafeteria.