Reviewerly/exHarmony huggingface dataset:
Optimization of Agricultural Technology with Irrigation Control in Rice Plants Based on Internet of Things

Agriculture in Indonesia is the cog of the country's economy. Currently Indonesia continues to strive to increase productivity in the agricultural sector, one of the efforts to increase the productivity of agricultural products is to optimize agriculture based on Internet of Things (IoT) technology using sensor devices and databases. The application of technology has advantages in terms of control systems for the irrigation process and plant nutrition. Furthermore, this research uses Research and Development (R&amp;D) research methods or research and development methods , namely research conducted to solve problems through the development of applied technology. It is hoped that through the implementation of this innovation the process of controlling and supervising agriculture can be easily carried out so that agricultural productivity can increase and the welfare of farmers.
Rancang Bangun Sistem Informasi Perpustakaan Berbasis Web Pada SMAN 10 OKU

The library is a facility that supports student and teacher learning activities. The library collection is in the form of textbooks that are used as references during the learning process. The Library of SMA Negeri 10 OKU Regency South Sumatra uses traditional methods in managing data and information. This hinders librarians to process data and present information effectively. The purpose of this research is to design a web-based library information system to assist libraries in solving school library problems. Observations, interviews and literature studies are the methods used to collect data (needs analysis). The prototype is used to build a school library information system. The results of the school library information system design were tested using black box testing. The results of the system activity data, the designed school library information system and the results of the information system evaluation. Activity data is shown in the analysis of running systems. The information system design is displayed with business processes, UML diagrams, and web-based information system screen displays. The evaluation results show that the school library information system can quickly query data, and the information displayed in reports is accurate.
Expanding Demand for Master’s Degree Programs in Interdisciplinary Studies in Education in Mongolia

The fourth revolution of industrialization has enormously influenced the education sector and needs to be dynamic and sensible in light of the changeable requirements of employers. Specifically, higher education institutions (HEIs) must focus on the global labor market to offer an innovative curriculum and attract prospective students. One of the current trends in the higher education sector is to design interdisciplinary degree programs. The interdisciplinary master's degree program is relatively new in Mongolian tertiary education. Therefore, we aimed to identify the need for a master’s degree program in interdisciplinary studies in education from the perspective of prospective students and also determine the areas of studies that have been preferred in the field of education. In this study, two online surveys and a focused-group interview were conducted. Three hundred ten educators were involved in the online surveys and focused-group interviews. The research questions were created on Google form, data was collected electronically, and focused group interviews were conducted simultaneously. The findings indicated that 52% of the prospective students preferred a master’s degree program in interdisciplinary studies in education, and a diverse combination of areas has been demanded, in particular, education and modern teaching methodology (26.4%); teaching and linguistics (25.5%); education and international studies (23%) and, teaching and psychology (19.4%). The other important finding was that interdisciplinary studies would be able to provide the necessary knowledge and skills that make graduates competitive in the labor market.
Earth Electric Generator

The purpose of this research is to research the cause of the earth electric generator. In the case of this method, the rotation of the earth and the principle of the electric generator were investigated. The result is that Earth's magnetic field creates a rotational force that rotates the Earth. As the Earth rotates, it functions as a generator. This generator function produces electrical energy and rotates the Earth. Therefore, the Earth continues to rotate and produce electrical energy as if an electric generator and an electric motor were combined. Electric energy is charged to the earth. Some of the electrical energy is converted into thermal energy. This thermal energy is associated with volcanoes, earthquakes, and hot springs. The conclusion is that the Earth rotates at high speed to produce electrical energy, and this electrical energy rotates the Earth, and some of the electrical energy is charged to the Earth.
The Effectiveness of the Open University Digital Library in Fulfilling the Information Needs of Master of Management Students at UPBJJ-UT Jakarta

The Open University digital library plays an important role in supporting the learning process of open and distance education by providing various digital collections for all UT students. This research focuses on the effectiveness of UT's digital library in meeting the information needs of Master of Management students at UPBJJ-UT Jakarta. This research uses a quantitative approach with descriptive methods. The results in this study indicate that UT's digital library has not been fully effective in meeting the information needs of master of management students at UPBJJ-UT Jakarta. This is because UPBJJ-UT Jakarta master of management students are still experiencing several problems in utilizing the UT digital library, so the role of UT librarians is needed in promoting and socializing their digital library.
English for Young Learning Method through Games and Songs for Elementary School

This study aims to determine the role of music and games in elementary school children's learning. The method used in this research is a type of qualitative research. The data collection process was carried out using the Focus Group Discussion (FGD) model in natural settings (natural conditions), primary data sources, and more data collection techniques on observation, in-depth interviews (in-depth interviews), and documentation. The chosen research location is an elementary school in Tulungagung Regency. Teaching English to young learners for teachers is fun. Teachers are required to learn in an interesting and not monotonous manner. Young learners also have a good memory in responding to something. Young learners are active students, so playing is one of the things they enjoy doing. So, the teacher must have innovations to create a learning atmosphere that is not monotonous. One of the things that can be done is to do learning by applying games in class. Young learners in learning English need various interesting methods to be applied in class. One technique that can be used for young learners in learning English is song and games. The benefit for young learners learning English is that they can speak English in the future. The aim of young learners learning English is to master as many vocabulary words as possible. Therefore, they will not experience any difficulties using English in the future. That way, English can be used for their skills in the future.
Blockchain Based used Vehicle Tracking System

Abstract: The used vehicle market has long been in India, but due to the danger involved in buying an old vehicle without a guarantee and the fact that it lacks certification, it has not been able to make a significant vehicle in the vehicle sector. Purchasing a second-hand vehicle is a risky decision since it is impossible to judge a vehicle just on the basis of appearance if you don't know anything about its history. Many individuals buy vehicles without looking into their past, which frequently results in them getting into legal difficulties. Some people offer vehicles that have been reported stolen with no prior history. Due to them, consumers who wish to purchase a quality used car are duped, which puts them in legal trouble. A solution to this problem is to use a platform that offers the consumer a reliable approach to looking up information about a vehicle, where all vehicle-related data is added in a safe, unchangeable manner. Thus, this issue may be solved via blockchain technology. We are trying to create an Android app that will use blockchain technology to store previous owner data in such a way that it cannot be altered.
EMPLOYEE PRESENCE DESIGN BASED ON NEAR FIELD COMMUNICATION (NFC)

There are many indications that show the performance of an employee, one of which is presence or attendance at work. In the institution of Universitas PGRI Wiranegara or UNIWARA, the employee attendance system still uses a manual system or is not modern. In the era of the COVID-19 pandemic, an attendance system based on no physical contact is the best choice. This study aims to develop an automatic attendance system without physical contact using Near Field Communication (NFC). NFC is a wireless computer network technology that uses radio frequency that allows you to connect without physical contact combined with applications developed using the SDLC (Software Development Life Cycle) method that can process data automatically. The final results of the study show that, from the tests carried out by this application, it makes it easy to make attendance without physical contact, where previously physical contact was still used. And in testing using Blackbox there were no errors, whereas when testing an objective system to respondents it was found that this system is easy to use, useful for users, has an attractive appearance, and is easy to understand.
IoT-based interaction design of smart home products for elderly families

Abstract A LoRa (Long Range Radio) based smart home product interaction system for the elderly is designed to solve the problem of reliability communication in the collection and information transmission of smart home environment parameters, device status parameters and the complex layout of communication lines inside smart devices. A privacy-preserving data aggregation scheme without a trusted authority center is proposed to address the privacy protection problem in the process of Internet of things (IoT) data collection. Firstly, without relying on the trusted authority center, the key exchange algorithm is used to generate shared secret keys and construct encryption keys among terminal devices to ensure the privacy of reported data; secondly, a fault tolerance mechanism is designed according to Carmichael’s theorem, so that the control center can still aggregate the received data when the terminal device fails or the network connection is wrong; in addition, the batch In addition, the integrity of the reported data is ensured by means of batch verification. Finally, the theoretical analysis proves the correctness and security of the scheme in this paper. The performance experiments show that the required computational overhead is lower compared to existing schemes, while some communication overhead is increased in order to have fault tolerance and to improve the verification efficiency of digital signatures. The application of this system will highlight the main position of the elderly, so that they can truly experience and accept the benefits of smart home for their lives and improve their quality of life.
Sign Language Detection without Sensors

bstract: The time period time device assists communication between the hearing impaired and the general public. We are proud to present the design and implementation of language learning models. In most cases, we create a trust model that distributes signatures regularly. Also, this method is a good way for beginners to use sign language to practice the language. As part of this study, various human-computer interactions for gesture recognition were investigated and analyzed. It has been found that the best way to detect human movement is layered image processing. Even with very little background, the system can detect certain characters in the language with 70-80% accuracy.
Automatic Generation of Meeting Minutes Using NLP

Abstract: The COVID-19 pandemic exposed the globe to a different time period. Due to the widespread adoption of the workfrom-home culture, business meetings are increasingly taking place online. Minutes Of Meeting(MOM) maintains a record of the topics discussed in online business meetings. Meeting minutes is a written document used to inform participants and nonparticipants of what happened during the meeting. The main issue with meeting minutes is that the person should personally attend the meeting and it takes a lot of time to create MOM manually. We proposed a system to get fluent, concise, and adequate minutes of meeting from a given transcript. We observe better results than our baseline models and achieve eval_rouge1 score of 47.39 and an eval_loss of 1.56 for summarization tasks .
POWER BUSINESS INTELLIGENCE DASHBOARD VISUALIZATION of LOSSES NUMBER of MOTOR VEHICLE in EAST JAVA, INDONESIA

East Java Province has a high number of motorized vehicle losses with various modes of crime. There needs to be a system that can process the data to assist the decision-making process for law enforcement officers in investigating the crime of motor vehicle theft and reducing the amount of loss. For this reason, in this research, data processing of motor vehicle theft was carried out using Business Intelligence (BI) and displayed on the Power BI dashboard. The research methodology used is literature study, interviews, data collection, implementation, evaluation, and documentation. The test results show the highest number of vehicle theft cases occurred in 2016 (1,635 cases) with the most modes using fake keys, and with the highest vehicle brand being Honda. The final result of the study shows that the presentation of data and information visually and interactively based on Power BI can help law enforcers to understand data, obtain information, and make decisions and policies to handle motorcycle theft cases. &#x0D;
APLIKASI PELAPORAN PELAKSANAAN KEGIATAN DANA ALOKASI KHUSUS MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (Studi Kasus di Dinas PUPR Kota Payakumbuh)

The Public Works and Spatial Planning Service or known as (PUPR of Payakumbuh is the agency in charge of public works, spatial planning, and building permits in Payakumbuh. So it is necessary to control reports on development implementation, especially in the special allocation fund (DAK) activity section, one of the activities contained in PUPR, namely managing DAK activity report data to manage financial data in the PUPR Office. At the PUPR Service, especially the subdivision of the Program, there is no application system so they still use Microsoft Office Excel, this results in errors regarding funding information in making reports due to large amounts of data and delays in preparing reports. This study aims to create a web-based DAK reporting application. The method used to build the system is Rapid Application Development (RAD), with the stages of Requirement Planning, Workshop Design and Implementation, so that system development is faster and more efficient. Application development uses PHP, in this case Laravel and MySQL. The results of the research show that the application built is easy to use, all functions are running as expected, and user needs can be met.
Smart Attendace System Using ML

Abstract: The world is changing, and automatic face recognition (AFR) technologies have advanced greatly. Smart Attendance with Real-Time Face Recognition is a practical method for managing the student attendance system on a daily basis. The technique of recognising a student's face for collecting attendance using facial biometrics based on high-definition monitor footage and other information technology is known as a face recognition-based attendance system. In my face recognition project, a computer system will be able to quickly and accurately find and recognise human faces in pictures or videos being taken using a security camera. Many algorithms and methods have been created to enhance facial recognition ability, however deep learning is the idea that will be used in this case. It assists in turning the video frames into photos so that the student's face can be quickly identified for their attendance and the attendance database can be quickly updated automatically.
DTM-CPS: Dynamic Trust Management Mechanism for Cyber Physical System based on Dirichlet Reputation System

In Cyber Physical System (CPS), data protection is considered as an important factor when sensors are employed in hostile environment.The sensors are highly prone for security threats like compromised nodes, who's crypto keys embedded in the security chip are physically captured by adversaries easily.Compromised node attack are launched by the attackers by physically capturing the cryptographic keys in remote region and becoming the internal node.Traditional protection mechanisms are mostly based on cryptography, which failed to address this kind of threat.Trust Management Mechanism based on rating, ranking, weight schemes help in building a secure, flexible and available system and provides second level of security for such compromised node attack.This paper presents a dynamic trust management mechanism for Cyber Physical System based on Dirichlet Reputation System (DTM-CPS).The simulation result shows that, this DTM-CPS has a better performance and security for CPS than traditional trust management mechanisms.
Pengaruh Fasilitas Belajar Dan Kapasitas Guru Terhadap Pemahaman Akuntansi Dengan ILC Sebagai Variabel Moderasi Pada Smk Akuntansi Bagian Medan Utara

The purpose of this study was to determine, test and analyze the effect of learning facilities on accounting understanding at the Accounting Vocational School in North Medan, the effect of teacher capacity on accounting understanding at the Accounting Vocational School in North Medan, Internal Locus of control moderated learning facilities and teacher capacity on accounting understanding at the Accounting Vocational School. in North Medan. This study uses a quantitative associative approach with data collection techniques through library research and questionnaires. The research population is class XI Accounting SMK students in North Medan, totaling 175 students. The data analysis of this research used quantitative data analysis techniques. The statistic used is Structural Equation Model - Partial Least Square (SEM-PLS). Software to process this research data using SmartPLS. The results showed that accounting learning facilities had a effect on accounting understanding. The better the available accounting learning facilities, the more students' understanding of accounting will increase. Teacher capacity has a significant effect on accounting understanding. The higher the level of teacher capacity, the higher the level of accounting ability. Internal Locus Of Control does not moderate the effect of learning facilities and teacher capacity on accounting understanding
Automatic Synthesis of Realistic Human Faces from Text using GANs

Abstract: The field of image generation has witnessed significant advancements in recent years, particularly through the application of Generative Adversarial Networks (GANs). Many capable generative adversarial networks (GANs) models have emerged in recent times which help in synthesizing, generating real-like images and playing around with images using text. However, most existing tasks are limited to generating simple images such as flowers from captions.This project aims to create a deep learning based model and a system that tries to generate realistic human facial images from a given textual description. The project explores the utilization and applications of GANs, and uses a particular type like VQGAN. In this work, we extend this problem to the domain of face generation from fine-grained textual descriptions of the human face, e.g. “A person has curly hair, an oval face, and a mustache”. To expedite this process, the project uses VQGAN that is conditioned on the given text using a language conditioning model called CLIP (Contrastive Language-Image Pretraining). The model is trained on the CelebA image dataset. Overall, the project seeks to improve the speed and accuracy of mapping faces to text by leveraging advances in deep learning and image generation. We broaden this objective in our study to the less-explored area of face generation using precise textual descriptions of faces.
Security Awareness in Iot for Industrial Applications Using Blockchain

Abstract: The internet of things is the ability to mechanically transfer knowledge over a network. IIoT has been wide enforced in industries like manufacturing and F&amp;B. To meet the difficult paradigms of wireless device networks like Energy potency and accommodative mechanism, the device nodes are increased with IoT support. IoT allows streamlining of information that may manage and monitor the industrial activities within the sensing space. Security issues arise within the space wherever IoT is used. There is a need for a information sharing system which should be directly implemented on the required field of the IoT system. The functions to be performed between the individual and the IOT system are generated as a set of functions in the IOT information sharing system. In order for the users to share the transactions within the system a storage database called a blockchain is used, this blockchain stores all the processed transactions and keep them safe from any adversaries. These information’s are stored and are available for each and every user or the nodes in the network. These informations are stored in the form of a public ledger which in turn can be easily modified and restored by all the user that are using ths system. as the intermediate proxies are used as a result secutity issues with the CoAP messages will rise which can be nullified by the use of Object Security of CoAP (OSCoAP) an IETF draft
IMPROVING STUDENTS’ READING ABILITY AT THE TENTH GRADE OF SMA HARAPAN 3 MEDAN BY USING SCAFFOLDING METHOD

The low ability to read in English is still a problem that most students often experience.In fact, today's English is needed along with the development of information and communication technology and the strong currents of globalization that make the world seem limitless.Therefore this study aims to improve students' ability to read English using the scaffolding method.The research was conducted on grade X SMA Harapan 3 Medan using the Classroom Action Research (CAR) method.Based on the results of classroom action carried out in 2 cycles on grade X SMA Harapan 3 Medan, it shows that the scaffolding method is proven to improve students' English reading skills.Based on the results of the actions in Cycle I, it is known that the percentage of completeness of student learning outcomes is 60%.Whereas in cycle II the completeness of students learning outcomes increased to 80%.While the average value of the two cycles shows that there were 24 students (80%) who experienced completeness, while only 6 students (20%) did not experience mastery in the material for students' English reading ability by using the Scaffolding method.Thus it can be stated that the Scaffolding method can improve students' English reading ability, where 70% of the total number of students can follow the learning process well and have achieved a KKM score of 70.