Reviewerly/exHarmony huggingface dataset:
NEED ANALYSIS OF INDONESIAN LANGUAGE TRAINING MATERIALS FOR FOREIGN WORKERS USING THE COMMUNICATIVE METHOD

There is no standardization of Indonesian language education and training for foreign workers (TKA), resulting in no training model that suits the needs of students. Therefore, this study aims to (1) describe the current condition of Indonesian language training for foreign workers by the Manpower Office; (2) identify Indonesian language training needs for foreign workers. The Ministry of Manpower has issued various regulations in this regard. This study uses a qualitative descriptive method through a communicative approach. The communicative approach forms the basis of the training model that will be developed because their main goal in learning Indonesian is to be able to communicate in their work environment. The data collection techniques used were interviews, surveys, and literature studies. The subject of this study is data on foreign workers in the Kepulauan Riau Province. The results of the study reveal two findings. Firstly, an overview of the current condition of Indonesian language training for foreign workers by the Manpower Office. Secondly, ) the identification of Indonesian language training needs for foreign workers . the data indicates that there is no standard training format yet.
BLUEPRINT FOR RECORDING DATA ON RED ONION FARMING ACTIVITIES USING THE BPR METHOD

To advance agriculture in Indonesia, farmers must be able to calculate the need for fertilizer, optimal use of pesticides, the amount of irrigation water required, the type of seed and the suitable land area in order to get maximum and sustainable agricultural yields. Besides that, farmers must also know the efforts in preventing and handling diseases. Therefore, researchers developed a prototype for recording data on agricultural activities both carried out by farmers and recording the condition of agricultural land by IOT. The Business Process Reengineering method is used to obtain an AS-IS system analysis so that a blueprint model is obtained that is suitable for recording agricultural activities. So that red onion farmers can manage customer relationships while performing their agricultural activities using this web-based information system application prototype. The results of the recording carried out by farmers and IOT using the Laravel web-based application development and using PostgreSQL version 14 can be used to provide input and notifications to farmers regarding actions that need to be taken.
IMPLEMENTATION OF INTERNSHIP DATA MANAGEMENT APPLICATION WITH PROTOTYPE METHOD AND USER ACCEPTANCE TEST METHOD

Universities generally have programs that offer students internship opportunities in departments within the university. In several universities especially Universitas Ciputra, internships in departments within these universities are mandatory activities for scholarship recipient students. This internship activity involves many parties, including students implementing internships, departments that provide internship vacancies and also student bureaus that monitor the implementation of internships. The obstacle faced in this activity is the difficulty of fulfilling internship vacancies with students who have interests, abilities and profiles that match the requirements of internship vacancies. The student bureau also has difficulty monitoring the progress of the implementation of internship activities in the field. The purpose of this research is to provide a solution to the problems faced in this internship in the form of a website application developed using the Prototype Model method using the Laravel framework and tested using the User Acceptance Test (UAT) method. The result of this research is a website prototype that can be used. The results of the UAT test show that the application made can help solve problems in this internship activity with a user satisfaction level of up to 96%.
AUGMENTED REALITY BASED IMAGE TRACKING FOR INTRODUCE PUPPET SHADOW TRADITIONAL MUSICAL INSTRUMENT

With the development of science and technology, traditional musical instruments are starting to be abandoned, one of the factors is the ease of playing modern musical instruments, and traditional musical instruments are also rarely found in everyday life. With the progress of today's era, AR (Augmented Reality) technology was born. The way Augmented Reality works is by scanning a sign or marker. This research aims to build an application with augmented reality technology to introduce traditional shadow puppets musical instruments. This research was designed using the MDLC (Multimedia Development Life Cycle) method. They were testing the application using blackbox testing on two smartphones with different specifications, with the result that both smartphones could run the application properly. Then for testing the use of the application using the heuristic evaluation method carried out by an expert with the highest severity rating value on the visibility of system status with a value of 0.625. The result of this research is the application of traditional shadow puppets musical instruments based on augmented reality, which is expected to be used to introduce traditional shadow puppets musical instruments.
PROTOTYPE OF THE INTERNET OF THINGS-BASED SWALLOW BUILDING MONITORING AND SECURITY SYSTEM

The Swallow nest production in a cultivation building have high commercial value. There are several factors that affect nest productivity such as light intensity, temperature and humidity conditions in the cultivation building. Better factors can be found in cultivation building that located far from residential area. However, this led to a risk of theft. Therefore, this study proposes a system that able to monitor the productivity factors and safety status of the building. System development uses a comparison method with black box testing. The system controller uses the Raspberry Pi B+ and the python programming language. Sensor Modules (GY-302, DHT-22, BME-280) are used to monitor light intensity, temperature and humidity. The security system uses sensor modules (LDR LM393, PIR HC-SR501 and SW-420) as flashlight, motion and vibration detectors. The black box testing result shows a good performance of the proposed system. The monitoring and security system can monitor the condition of swallow cultivation parameters and security status that can turn on alert alarms, send WhatsApp messages, store log data and send data to the website periodically according to the level of conditions that occur.
ANALYSIS OF SENTIMENT OF INDONESIAN COMMUNITY ON METAVERSE USING SUPPORT VECTOR MACHINE ALGORITHM

Metaverse was widely discussed right on October 28, 2021, when Mark Zuckerberg announced the company name change from Facebook to Meta. Regarding the sophisticated Metaverse concept, it is possible to make the pros and cons between the Indonesian people. This information is widely distributed in various media crews, one of which is Twitter social media. Tweets from social media can be used to obtain data and information as material for research on sentiment analysis. This study aims to determine the response of the Indonesian people to the Metaverse. Material data was obtained from Twitter tweets with keywords or Metaverse queries. Research conducted by the Support Vector Machine Algorithm in research with TF-IDF word weighting, the tests carried out with the results of the class division of positive sentiment 70.69%, neutral 15.85%, negative 13.46% will produce values ​​of accuracy, precision, recall, and f1-score. They use various data, namely, 90% training data and 10% test data. The result is high accuracy in testing many data, 2504 data, and the accuracy value is 81%, with an average value of 79% precision, 63% recall, and 57% f1-score.
EXPERT SYSTEM FOR INITIAL IDENTIFICATION OF DISEASES CAUSED BY HELICOBACTER PYLORI BACTERIA USING CASE BASED REASONING APPROACH

Helicobacter pylori, which is a bacterium that can live in the stomach. Infection can occur when bacteria invade and damage the stomach wall. Lack of information and ignorance of the public about the seriousness of these bacteria causes various very serious diseases such as inflammation of the digestive tract (gastritis), gastric bleeding, gastric perforation (leak stomach), infection of the peritoneal wall (peritonitis) and gastric cancer. This expert system aims to provide information and also early identification of diseases caused by the bacterium Helicobacter pylori. After the expert system has identified the type of disease, it will then suggest the actions that need to be taken. The method used is CBR, this method works with the stages of Retrieve, Reuse, Revise, and Retain. The data that will be processed in this study are 30 data, with the results of 29 data in accordance with the doctor's diagnosis. From these results, it can be said that the accuracy of this expert system is 97% so that it can be used as an alternative in identifying diseases caused by the bacterium Helicobacter pylori.
Pemodelan Sistem Informasi Pengelolaan Dokumen Online Untuk Sistem Penjaminan Mutu Internal Pada Politeknik Jambi

Documents at a tertiary institution are one of the important factors in the internal quality assurance system to measure the level of achievement of organized activities within the tertiary institution. ‘Documents ‘can ‘be ‘used‘ as‘ a ‘reference‘ in ‘making decisions, formulating policies, ‘planning, ‘regulation, ‘monitoring ‘or ‘monitoring ‘the ‘achievements ‘of ‘activities ‘and ‘evaluating these activities. Document management at the Jambi Polytechnic is carried out using a file sharing system. The use of file sharing in document management results in limitations on document storage and access by stakeholders, where stakeholders can only store and access documents using the local network at the Jambi Polytechnic. This has hampered the process of decision making, policy formulation, planning, regulation, monitoring by stakeholders when they are not connected to the Jambi Polytechnic local network. Existing problems can be solved by having an information system that is devoted to managing documents in the form of storing and accessing documents at the Jambi Polytechnic. Modeling an online document management information system can be used as a reference before developing an information system. Modeling of this document information system will be carried out by means of visual modeling which will give an overview of how the components are connected and interact so that detailed information from an information system can be seen clearly.
Regression analyzes of cryptocurrencies under COVID-19

The global COVID pandemic is changing the way we understand the world in all spheres of public, social, economic, financial and political life. Digital and digital technologies are displacing human capital by changing the hitherto dominant world order. This change, which is linked to the international pandemic imposed by the WHO / World Health Organization /, has an impact on the financial well-being of economic agents in both positive and negative aspects. Digital cryptocurrencies manage to fit into this digital-remote living environment, which raises many questions for research circles.
Industrial and sports cluster as a tool for the development of universal and general professional competencies of future specialists in the field of physical culture and sports

The organization of training in the direction of training 49.03.01 Physical culture should be carried out in accordance with the requirements of the federal state educational standard of higher education and taking into account the specifics of the development of the sphere of physical culture and sports at the federal, regional and municipal levels. Preparation of future specialists for their professional activities is implemented in the process of formation of universal and general professional competencies regulated by the Federal State Educational Standard of Higher Education. In this article, the features of the organization of cluster interaction were considered on the example of the industrial and sports cluster of the Sverdlovsk region, within the framework of studying the activities of which it is possible to form competencies for the disclosure of the personnel potential of specialists in the field of physical culture and sports, as well as increase their competitiveness in the labor market.
MVARN: Multi-view Attention Relation Network for Figure Question Answering

Figure Question Answering (FQA) is an emerging multimodal task that shares similarities with Visual Question Answering (VQA). FQA aims to solve the problem of answering questions related to scientifically designed charts. In this study, we propose a novel model, called the Multi-view Attention Relation Network (MVARN), which utilizes key picture characteristics and multi-view relational reasoning to address this challenge. To enhance the expression ability of image output features, we introduce a Contextual Transformer (CoT) block that implements relational reasoning based on both pixel and channel views. Our experimental evaluation on the Figure QA and DVQA datasets demonstrates that the MVARN model outperforms other state-of-the-art techniques. Our approach yields fair outcomes across different classes of questions, which confirms its effectiveness and robustness.
Prediction of Heatwave Using Advanced Soft Computing Technique

At present, there is no suitable instrument available to simulate modeling the thermal performance of various areas of our states due to its complicated meteorological behavior. To accurately predict a heatwave, we studied the research gaps and current ongoing research on the prediction of heatwaves. For the accurate prediction of a heatwave, we considered two soft computing concepts, (a) Rough Set Theory (RST) and (b) Support Vector Machine (SVM). All the ongoing research on the prediction of heatwaves is based on future predictions with an error margin. All the available techniques use a particular pattern of heatwave data, and these methods do not apply to vague data. This paper used an innovative RST and SVM technique, which can be applied to vague and imprecise datasets to produce the best outcomes. RST is helpful in finding the most significant attributes that will be alarming in the future. This analysis identifies the heat wave as the most prominent characteristic among various meteorological data. SVM is responsible for the future prediction of heat waves, which includes various parameters. By further classification of heatwaves, we found that a lack of greenery will increase the heatwave in the future. Although the survey was conducted based on a sampling distribution, we expect this result to represent the population as we collected our sample in a heterogeneous environment. These outcomes are validated using a statistical method.
Navigation for a mobile robot to inspect aircraft

Preflight inspection is an important part of aircraft maintenance, as it does not affect only safety but also expenditure.In order to reduce the risks from human errors and the cost of operation, a mobile robot is introduced as an effective solution.This research examines navigation for aircraft inspection using a mobile robot.The two path planning methods, Dijkstra with DWA and A* with TEB, are compared by navigation performance in the simulation and three environments which are office, atrium, and hangar, to ensure that the robot is able to handle a variety of situations.In addition, an ultrasonic sensor was installed to perform obstacle avoidance and support LIDAR when it failed.The result is that both algorithms have their advantages depending on the purpose; if an accurate position is required, A* with TEB should be selected, while Dijkstra with DWA offers a smooth path and less time spent in small and complex environments.The notable parameters in navigation for the mobile robot, TurtleBot3, are presented, and limitations are detailed.The use of the autonomous mobile robot could support the operation with high precision and repeatability.
PuRR-RRT*: Behavioral Path Planning in Uncertain, Risky and Rewarding Environments

Effective robotic deployment in uncertain risky and rewarding environments demand diverse reasoning and planning capabilities from robots. In this work, we propose a novel behavioral planning algorithm to navigate in such environments with continuous and uncertain sources of risks and rewards. Agents can express a variety of different behaviors, leading to various environment assessments and correspondingly different planned paths. We take inspiration from behavioral decision making models from Cumulative Prospect Theory (CPT), to construct a class of novel perceived loss functions to capture these different behaviors. We then incorporate these perceived losses into path costs and leverage sampling based planning techniques from RRT*. Our planner Perceived uncertain Risk and Reward RRT* (PuRR-RRT*) plans asymptotically optimal paths, consistent with any given behavioral profile, resulting in a diverse AI for path planning. We then illustrate the proposed algorithm in virtual experiments conducted in a ROS-Unity environment embedded with risk and reward sources. We show that our proposed planner is capable of producing a larger range of diverse paths, aligned with the required behavior.
Chapter 14 Applications of quantum AI for healthcare

Healthcare plays an important role in human life. Quantum artificial intelligence (AI) for healthcare is the need of the day. In order to get an insight about healthcare, certain case studies have been discussed here. Here we are going to focus on the development of healthcare within the context of the Fourth Industrial Revolution. The transition from “Healthcare 1.0” to “Healthcare 4.0” and “Industry 1.0” to “Industry 4.0.” can be understood from this chapter. Better information and more individualized care are just two ways in which the Fourth Industrial Revolution can improve patients’ health. The Internet of things (IoT), blockchain, big data, and AI are some of the technologies that have improved healthcare efficiency and effectiveness. Diseases can be predicted and detected at earlier stages with the help of predictive data analysis. Blockchain technology can safeguard sensitive patient information gathered from IoT-connected wearable sensors. Medical professionals can receive and analyze the data in real time. The applications covered in this chapter will be a boon to modern medicine, and the possibilities of Healthcare 4.0 seem endless. The most cutting-edge applications of Industry 4.0 medical research solutions are to compile and interpret data from high-income nations in order to assess medical sector efforts toward health value chain development 4.0. This chapter examines information on patients’ symptoms, diagnoses, and ongoing care.
AUTOMATIC VEHICLE COUNTER SYSTEM BASED BLOB DETECTION FOR HIGHWAY SURVEILLANCE

The number of vehicles that increase every year has a major impact on the occurrence of congestion and accidents and causes a significant increase in the volume of vehicles, especially on the highway. With this increase, many officers find it difficult to be able to anticipate or supervise vehicles directly. The research that we made, entitled Automatic Vehicle Counter System Based on Blob Detection for Highway Surveillance Using OpenCV, is a solution to this problem because by utilizing image transformation it makes it easier for the system to be able to detect vehicles and identify the number of vehicles entering the lane. The results obtained show an accuracy value of 97.11% based on testing with 10 video samples, with a total of 1329 vehicles detected out of a total of 1362, meaning that the total error is only 3.02%.
Gitar Dalam Karya Digital Painting

This work aims to visualize the problems of adolescents experienced by the author through the image of a guitar which is used as a metaphor in digital painting works. The hope of this work is to improve the messages contained, to be able to inspire and provide support to teenagers who find it difficult to deal with problems. With this work, the author seeks to raise awareness of the importance of mutual understanding and provide space to talk about sensitive issues in the youth environment. The method of creating this work follows five stages, namely: preparation, in which the author makes observations and explorations to find inspiration. Then, at the elaboration stage, relevant references are collected and searched. The third stage, synthesis, involves applying the ideas and main ideas that have been generated. Furthermore, at the concept realization stage, the final work is made based on the previously designed concept. Finally, at the completion stage, the work is exhibited and a report is created covering the entire process from start to finish. In creating works, the author uses the Krita application as a technique in making digital painting works. Each work features a guitar object consisting of 10 works with the titles, "Break up", "Abandoned", "Stuck", "Confused", Depression", "Social Media", "Frenzy", Academic", "Bully", and “trapped”
Embracing the Diversity of Craft Functions in Daily Life

Craft is a field of art that is very open with various meanings, according to the purpose of its creation, the raw materials used, the work process, and the form of the work produced.Crafts have always been present and needed to support various needs in daily life.Therefore, crafts certainly have various functions, but these functions have not been completely decomposed.This study aims to reveal the various functions of crafts in daily life.This study employs a qualitative research method.Data were collected through literature studies, observation of the creation process and craft products, and interviews with craftsmen.Data analysis was carried out interactively by continuously comparing data from literature studies, observations, and interviews.The results showed that the craft has been used for various functions in daily life, namely: as a ritual, a medium of expression, an economic driver, an educational medium, means of social interaction, means of therapy, environmental preservation, means of recreation, means of self-actualization, individual identity, and symbol of cultural identity.These various functions can appear in one craft phenomenon (process and product) or in different craft phenomena.Further researchers are expected to be able to explore these functions more deeply in a particular craft phenomenon to produce an increasingly extensive appreciation.Thus, we will be encouraged to continue to preserve it in daily life.