Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Pelaporan dan Pencatatan Aktifitas Kegiatan Hutan di Taman Nasional Gunung Ciremai Berbasis Image Geotagging

Current advances in information technology, especially cellular phones, have become tools that can facilitate the dissemination and delivery of information from one party to another. The concept of geotagging is very similar to marking points on GPS devices, geotagging not only adds waypoints but also adds spatial metadata information to digital media or photos. The process of reporting and recording activities is still using manual processes, both recorded and unrecorded and there is no system for save the reporting process. The system design in this study is an information system that can be accessed by the public in the form of reporting geotagging images on an android application (.apk) and integrated management by Balai TNGC. Achievements or research targets to be achieved are the ease of delivery of information from the community or TNGC officers in terms of reporting and recording of forest activities and the wishes of the authors are expected to be a pilot or reference that can be used by all National Parks in Indonesia. The system development in this study uses the Extreme Programing (XP) method, where this method is suitable for the existing problems. For modeling design using UML (Unified Modeling Language. Keywords : TNGC; Geotagging; Android; Extreme Programing; UML
Contradictions of the choice of employment forms by students of the Omsk region in conditions of the digital economy development

Humanitarian workers operate in complex environments with various challenges and demanding working conditions.These challenges put aid workers in a range of risks and under the pressure.However, human resources are crucial for success of humanitarian operations in general.At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff.Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within.Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face.Up to this moment, needed skills and the performance of humanitarian logisticians were examined.Also, the motivators of humanitarian workers are covered in previous research.Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
Safety in Road Comunication and Role of Pre –Hospital Emergency Service

Traffic accidents are leading cause of death in the most productive age group - 20-45 years of age. 20 - 50 milion people in the world are left with injuries and disability caused by traffic accidents.&#x0D; Half of those who loose their life in traffic accidents are active participants - pedestrians, bicycle and motorcycle drivers. Unless preventive measure are taken, it is expected that by year 2030, traffic accidents with be the 7-th leading cause of death in the world. Large number of traffic accidents is caused by a variety of factors and the result is a relatively large number of victims left with disability and material loss. This number can be lowered with proper laws and practices.
INTEGRATING TECHNOLOGY IN BASIC ENGLISH CLASS

This study aims to determine the extent to which technology can be applied in the process of teaching and learning Basic English and affect student performance. Data obtained from classroom observations and interviews. The analysis shows how the application of technology provides an improvement in the teaching and learning process. The application of technology particularly computer games give students the opportunity to practice using English, as well as increasing students' interest in participating in classroom activities. In the process of applying this technology the development of the ability of students' vocabulary mastery can be seen. In short, this study shows that the application of technology raises a positive impact on students in the learning process in the classroom.
Faktor-Faktor Yang Mempengaruhi Prestasi Belajar Mahasiswa Program Studi Akuntansi di STIE AAS Surakarta

Accounting students have a fairly strong relationship with the problem to be studied, so researchers use accounting students as research subjects. The ethical attitude of accounting students is considered important because accounting students as prospective accountants, auditors, or managers cannot be separated from accounting practices in the world of work. The purpose of this study was to determine the effect of emotional intelligence (EQ) on the academic achievement of students majoring in accounting at AAS Surakarta. To determine the effect of intellectual intelligence (IQ) on student achievement in accounting majors at AAS Surakarta. To find out there is an influence of emotional intelligence (EQ) and intellectual intelligence (IQ) together on the academic achievement of students majoring in accounting at AAS Surakarta. The research method used is quantitative research methods. Data collection techniques using a questionnaire. Research location at STIE AAS Surakarta. The population used by accounting students is STIE AAS. Data analysis technique uses multiple linear regression. The results of the study contained a positive effect on emotional intelligence on student achievement in accounting at STIE AAS in Surakarta. There is a positive influence of intellectual intelligence on academic achievement of students majoring in accounting at STIE AAS in Surakarta. There is an influence of emotional intelligence and intellectual intelligence together on the academic achievement of students majoring in accounting at STIE AAS Surakarta.
Interest Preference Information Mining for Online Learning

With the advent of the Internet era, network technology has gradually been applied to education and teaching. The teaching method of online learning, as a derivative of the new teaching model, promotes the development and transformation of traditional education and teaching. Because each student has different learning focus areas and behaviors, it is the research direction of online learning to analyze the learning characteristics of specific students. This paper firstly divides the user type by clustering algorithm, uses the eye movement experiment to obtain the user behavior data, analyzes the data and finds the students' interest areas, which helps the online learning system to formulate specific learning strategies according to different users.
Performance evaluation of different machine learning algorithms in presence of outliers using gene expression data

Classification of samples into one or more populations is one of the main objectives of gene expression data (GED) analysis. Many machine learning algorithms were employed in several studies to perform this task. However, these studies did not consider the outliers problem. GEDs are often contaminated by outliers due to several steps involve in the data generating process from hybridization of DNA samples to image analysis. Most of the algorithms produce higher false positives and lower accuracies in presence of outliers, particularly for lower number of replicates in the biological conditions. Therefore, in this paper, a comprehensive study has been carried out among five popular machine learning algorithms (SVM, RF, Naïve Bayes, k-NN and LDA) using both simulated and real gene expression datasets, in absence and presence of outliers. Three different rates of outliers (5%, 10% and 50%) and six performance indices (TPR, FPR, TNR, FNR, FDR and AUC) were considered to investigate the performance of five machine learning algorithms. Both simulated and real GED analysis results revealed that SVM produced comparatively better performance than the other four algorithms (RF, Naïve Bayes, k-NN and LDA) for both small-and-large sample sizes.&#x0D; J. bio-sci. 28: 69-80, 2020
The Influence of Social Networks on Students’ Essay Writing: A Study of Selected Senior High Schools in the Cape Coast Metropolis, Ghana

The 21 st century has been described as a century of technological advancement since social networks are currently being used regularly by millions of people all over the world.The paper examined the influence of social networks on students' essay writing in English Language in selected Senior High Schools in the Cape Coast Metropolis.The descriptive survey design was adopted for the study.Questionnaires were used to gather relevant data from students at the Senior High Level.In all, 201 sample was selected for the study out of a population of 420.The proportionate random sampling technique was used to collect samples from the selected schools.The study found out that Facebook, WhatsApp, Instagram, Imo, Twitter and Viber are the various social media networks available to students.It is worth mentioning here that there is a high level of students' participation in social media networks in Cape Coast Metropolis.It was recommended that teachers should be more vigilant on their students in order to monitor their use of phones and other electronic devices so that they can limit or regulate the time their wards spend on the various social media sites.English Language teachers should be critical on students' writing and should encourage students to read over their writings.
Fundraising Model Of Coaching Of The Teaching Staff Of The Technical University

The article is proposed a fundraising model and technology for continuing education of the teaching staff of the technical university. The model assumes the formation and implementation of a fundraising strategy of a technical university, as well as the development of new technologies of academic fundraising, including the formation of new pedagogical competencies of higher education teachers. Clarified the economic content of the category of fundraising, which is the art and science of continuously attracting charitable and sponsorship funds for projects or for the activities of non-profit organizations in general, with the participation of philanthropists in the activities of the organization. The author’s classification of objects and methods of fundraising is given in the article, a system of principles is formulated and the most promising models of fundraising activity are identified. This allows formulating a strategy of attracting resources for the revitalization and implementation of scientific and technical developments in the organization. The criteria for success of fundraising activities in the field of financing scientific and technical developments were determined, based on the priority of conditions for long-term mutually beneficial cooperation with philanthropists and partners in the joint application of the results of scientific and technical developments, as well as the expansion of interregional and inter-industry cooperation with partner organizations and individuals. This allows to form an independent public and market demand for high-quality scientific and technical developments, as well as build a system of incentives and increase the loyalty of partners to the activities of a non-profit organization.
Meter Detection of Substation Scene Based on Deep Learning

Automatic detection of the substation meters based on deep learning is of great importance. Meters are important equipment for monitoring substations safety. A large number of meters in the substation need to be detected and recognized, which is labor-intensive and time-consuming. Aiming at solving low detection accuracy problem in the existing methods, an efficient and accurate method based on YOLO for meter detection is proposed. First, we build a dataset of substation meters with 1432 images as the training set and 615 images as the test set. We use data augmentation strategy to solve the problem of data shortage and class-imbalance. Second, according to the characteristics of the meter image, feature pyramid is used to train the model to effectively improve the recognition performance. Finally, we use the training warm-up method to reduce the over-fitting of the training model. Experiments results show that, compared with other methods, our method can achieve better performance on several benchmarks. The detection recall improves from 88.03% to 96.08% and mAP improves from 89.64% to 93.84% on the premise of ensuring real-time performance.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN PAKAIAN BERBASIS WEB PADA DISTRO CHANNEL CIREBON DENGAN METODE CRM OPERASIONAL (STUDI KASUS : DISTRO CHANNEL)

Distro Channel is located on Jalan Raya Letjend S Parman, Pabuaran Cirebon. At this time, Distro Channel only markets its products around Pabuaran. Efforts to get new entrants depend on the participation of old customers to spread information about the Distro Channel to other prospective customers. This becomes less effective in terms of time and it can result in a greater risk of losing customers. This study aims to create an information system that implements operational CRM methods so that customers can make product purchases as desired by accessing the Distro Channel website. This research uses the waterfall system development method. The stages of this waterfall are analyzing system requirements, making system design, implementing system, testing and operating and maintaining system. The implementation of CRM that is applied in the Distro Channel, namely giving points in accordance with the provisions will get 1 point for multiples of spending Rp. 65,000, - points with a certain amount can be exchanged with the promo product points that have been provided, these points can be used as a discount of Rp. 1,000, -. The application of CRM in this system is expected to be able to improve services so that it impacts on increasing customer loyalty.� Keywords: Information Systems, Distribution Channel, operational CRM, Waterfall, Sales Website, customer loyalty, points
Designing Web-Based DISC Psychology Personality Analysis Tests

Using a manual system in the companies or organizations today, has many disadvantages like inefficient, wasting time, require a lot of costs, and make work difficult. By integrating a DISC personality analytical psychological test with information system, the tests are carried out with computers initially using paper, so it more economical for using less paper. More than that, the test results are done automatically check by the computer, no need to manually check by the psychologist. In addition to being effective in examining, the validation of examinations is very high because it can recover human errors.
A Vulnerability Assessment Method for Network System Based on Cooperative Game Theory

It is very important for administrators to understand the severity of vulnerabilities in network systems. Although many systems such as CVSS can evaluate individual vulnerabilities, they do not take into account the specific environment, so the results are not helpful. In our paper, we construct a vulnerability dependency graph by modeling the complex dependencies between vulnerabilities, and introduce the Shapley value in the cooperative game. We consider an attack path as a cooperation between the vulnerability nodes, and use Access Complexity as the attack cost of each node, define the characteristic function in the cooperative. Finally, according to the Shapley value of each node, all the vulnerabilities are ranked, and the administrator can patch the high-rank vulnerabilities with the limited security resources. Our experimental results demonstrate that show that our method can more effectively assess the severity of vulnerabilities in specific environments.
Implementation of Mpu6050 6 DOF Gyro Accelerometer IMU as Auto Correction Direction in Ship Weapon System

The stability of gun shots on warships has a very important role in the accuracy of the shooting results to support the operations of the Warship.The problem that often arises is the lack of stability in gun shooting on ships.At present one of the data sources to maintain stability in gun shooting is from the gyro compass so that it can overcome ship shocks by waves either shaking or bobbing.However, because the gyro compas works on a mechanical system, there is often wear and tear on the gyro compas component as the rotating clock increases.Besides that the cost of maintenance and maintenance of the gyro compass is quite expensive, if the tool will be reconditioned to restore its optimal capabilities.Accuracy enhancements are needed in addition to streamlining the cost of maintenance and maintenance of the system (Gyro Compass).The purpose of this study is to make the implementation concept of the IMU MPU 6050 6 DOF Accelerometer as an Auto Correction Direction on the Ship Armament System to obtain better stability, more efficient and effective.
SOCIAL INTEGRATION OF YOUNG PEOPLE WITH DISABILITIES TO EDUCATIONAL SPACE AND PUBLIC LIFE OF UKRAINE: STATE, PROBLEMS AND PROSPECTS

The article under review deals with the issues of the state, problems and prospects of the social integration of young people with disabilities to educational space and public life of Ukraine (on the example of Sumy region).Much attention is given to development of a questionnaire and conducting a survey of young people with disabilities involving members of their families in order to find out their awareness of national legislation concerning protection of rights of people with special needs, targeted social programs, opportunities for physical access to social infrastructure, education level, material well-being, etc.The authors concluded that joint efforts of state and local authorities in developing effective legislation concerning realization of rights and opportunities of young people with disabilities in modern society would promote better integration of this category of persons. Key words: social integration
GAME SIMULASI BELAJAR PEMBAGIAN BERBASIS MULTIMEDIA UNTUK ANAK KELAS 5

Learning to count for school children becomes a daunting subject matter, difficult because it requires thinking and using reasoning to solve it. As material that has been taught since elementary school, media are needed that can help students learn to count. To overcome students' difficulties in learning to count, Diginusa has special counting software for grade 5 children, based on multimedia that combines elements of text, sound, images and animation. The purpose of this study is to make learning to count easier because it is done in the form of a visualization on a computer monitor screen. This research utilizes quantitative data types, with data collection obtained from the results of software experiments to students in the form of grades that will be compared with the KKM scores. The Tecknology Acceptance Model (TAM) application is used to measure acceptance of interactive learning media. This TAM model illustrates the acceptance of the use of information technology that is strongly influenced by usefulness. The results of this study are from two data that are processed based on Minimum Completeness Criteria (KKM) whose percentage is 97% and the results of the Questionnaire are 64%.
MODELS OF GENERATION OF INPUT DATA OF TRAINING OF NEURAL NETWORK MODULES FOR DIAGNOSTIC OF DISEASES IN UROLOGY

The subject of the research presented in the article is neural network modules (NNMs), which are used to solve problems in the practice of diagnosing diseases in urology. This work aims to develop a mathematical model for generating a multitude of uroflowmetric parameters, in particular, graphs of uroflowrograms of the required volume, used as input data for NNM training. Objective: to develop a mathematical model for the formation of uroflowmetric parameters using a probabilistic approach based on a uniform "white noise". To develop an effective algorithm for the procedure for generating new parameter values and tools for its implementation. Methods used: NNM training methods, mathematical modeling methods, digital signal processing methods, tools for generating and processing random numerical sequences, digital data filtering methods. The following results were obtained: when creating and implementing a mathematical model for generating a large amount of training data, the requirements of randomness are taken into account when obtaining new values of uroflowmetric parameters. And at the same time, the obtained noise values are filtered to values of a given range, which are percentage-wise comparable to the amplitude value of the uroflowmetric parameter. Conclusions. The scientific novelty of the results is as follows: the NNM training method for recognizing diseases in urology has been improved by developing a mathematical model to generate uroflowmetric parameters for NNM training. The presented model allows you to create the necessary amount of data for training neural network modules in the course of experimental research on the recognition of diseases. The generation of uroflowmetric parameters is based on adding noise to the parameter values. This allows you to change the input data of the NNM training in a given range. This ensures the creation of the required input volume of the NNM training procedure. In the future, this contributes to the testing process of trained neural network modules with reliable information on the diagnosis of diseases in urology.
Correction to: A reversible data hiding in encrypted image based on prediction-error estimation and location map

In the original publication, figure 2 has some incorrect notations and Table 1 has inappropriate alignment. The original article has been corrected.
Automatic Detection of Stellate Lesions in Digital Mammograms Using Multi-scale SIFT

This paper presents a novel automatic mammography recognition approach used to develop computer-aided diagnostic systems that require a robust method to assist the radiologist in identifying and recognizing speculations from a multitude of lines corresponding to the normal fibrous breast tissue.Following this rationale, this paper introduces a novel approach for detecting the speculated lesions in digital mammograms based on multi-scale SIFT (scale-invariant feature transform) orientations.The proposed method starts by estimating a set of key points that best represent the image mammography in a scale space.We then benefit from SIFT algorithm to locally characterize each key point by assigning a consistent orientation.Thereafter, a set of three features are extracted for each pixel in the image mammogram based on these orientations.The extracted features are fed into BDT (binary decision tree) in order to perform per pixel classification and decide whether the pixel is normal or abnormal.We evaluate the proposed system on BCDR (breast cancer digital repository) database and the experimental results show that our method is accurate with 97.95% recognition rate, while it is robust to illumination changes, rotation and scale variations.
Sistem Pakar Penanganan Kasus Sengketa Tanah Menggunakan Metode Backward Chaining

Land dispute is a conflict between two or more parties that have different interests in one or several objects of land rights that can result in legal consequences for both. Problems to explain government regulations and legislation relating to land dispute cases in a simple way that is, explained the rules that correspond to the problems that occur. This makes it difficult for a lawyer to deal with many clients and different cases. The purpose of this study is to design the Expert System for Handling Land Dispute Cases using the Backward Chaining Method. The study was conducted to analyze the existing needs, collect data, design, implement the results of the design into the application that is used, after that will be tested and maintained the system. The results of the study show that the existence of this expert system, it provides very meaningful benefits for the client, namely facilitating the client to carry out consultations regarding the handling of land dispute cases.