Reviewerly/exHarmony huggingface dataset:
농산물 도매시장의 유통효율화를 위한 정보화 전략요인의 우선순위 분석

There have been many discussions on improving distribution efficiency through integration with the technologies of “the Fourth Industrial Revolution” in the Korean agricultural sectors in recent years in response to the development of the technologies of “the Fourth Industrial Revolution”. Particularly the reestablishment of the functions of wholesale market through the integration with advanced information and communication technology(ICT) and the necessity for intensification of distribution efficiency have emerged as a major issues.The informatization of wholesale market through the integration with ICT has the effect of leading the efficiency of the entire agricultural and food industry by raising efficiency of the interdependent collaboration activities within the agricultural product value chain.This study examined the concept and scope of the informatization of agricultural product wholesale market and suggested eight major strategic factors for the informatization of agricultural wholesale market.In additions, this study empirically analyzed the order of priority among strategic factors by related expert groups using a ‘Best-Worst Scaling(BWS)’ in order to derive implications for the establishment of successful wholesale market informatization strategy.The result of analysis showed that ‘Improving the quality of wholesale market distribution information’ appeared as the most important strategic factor and ‘Sophistication of existing trading method and introduction of various trading methods’ and ‘Developing integrated trade platform for wholesale market’ also appeared as important strategic factors.Based on the empirical results, this study proposed the wholesale market informatization promotion strategy and the two implementation schemes. First method is the single-track development scheme which starts from the ‘improvement of the quality of the wholesale market distribution information’ and subsequently promotes the informatization of the wholesale market. On the other hand, the second method is the two-track development scheme which executes both ‘sophistication of trade methods in the wholesale market and addition of various trade methods’. Both schemes have advantages and disadvantages.The study suggested that one of these schemes should be chosen in light of the policy decisions on the urgency of informatization in the wholesale market, the conditions for promoting the scheme, and the willingness to promote the scheme of the various stakeholders in the wholesale market.
Forecasting the Number of Passengers from Bakauheni Port during the Sunda Strait Tsunami Period Using Intervention Analysis Approach and Outlier Detection

Abstract The purpose of this study is to model and predict the number of ferry passengers from the Bakauheni port during the Sunda Strait Tsunami period. The Bakauheni-Merak crossing route is one of the sea crossing nodes serving crossings from Sumatra to Java and vice versa. The cruise line with a route length of 27.75 km serves both passenger and vehicle crossings. This route is the main route of logistics distribution from Java to Sumatra and vice versa. The tsunami that happened in the Sunda Strait on 22 December 2018 indirectly impacted the Sunda Strait sea crossing node especially the Bakauheni-Merak route. Methods that can be used to analyze the external impact of an event that causes changes in data patterns are Intervention Analysis and Outlier Detection. Both approaches are a type of Time Series method based on time series data. Therefore, this method can be used to model and predict the number of ferry passengers from the Bakauheni port during the Sunda Strait Tsunami period. If observed visually based on time series data patterns, the number of passengers from the port of Bakauheni has decreased for 2 days after the Tsunami. However, the number of passengers increased again on the Christmas holiday on December 25, 2018 or 3 days after the Tsunami. The tsunami that happened close to the Christmas holidays 2018 gave the results of initial identification, namely the existence of other events that caused changes in the pattern of passenger data. The event was a Christmas holiday on December 25, 2018. This research is expected to be able to capture and analyse phenomena that happen in a series of data during the Sunda Strait Tsunami period.
COVID-19 due to SARS-Cov2 has also affected Medical Education/ COVID-19 por SARS-Cov2 también ha afectado a la Educación Médica

The virus, besides causing a pandemic, with hundreds of thousands ill, and with tens of thousands dead, has had the ability (‘the power’) to break standard education practices. This has had, or may have, one benefit: to reconsider that which is really important and that which is not so important. And this is of great value for the teacher and for the student. And it has also served to recognise and find alternative ways to transmit the knowledge. All things considered, the teacher has had the opportunity to contribute in creating an education model capable of boosting the development of new ways and methods of learning. Certain educational techniques and resources have been able to be recognised as ‘present’ or ‘absent’ in our education system. This implies that certain recourses have to be present, or that is required to optimise those that are available in order to teach, to learn, or to evaluate. Technology helps to provide ‘direct’ contact between teacher and student, between teachers and between students. But it goes without saying that the technology has to be available.
SECURING THE AUDIO MESSAGE WITH IN DIGIAL MAGE

Steganography is that the workmanship and study of composing concealed messages in such the way that no one, barring thesender and assumed beneficiary, associates the presence with the message. We are building and actualizing anothercalculation dependent on concealing a lot of information (picture, sound, content) document into shading BMP picture. Wehave been utilized versatile picture separating and versatile picture division with bits substitution on the reasonable pixels.These pixels are chosen haphazardly as opposed to successively by utilizing another idea characterized by fundamental caseswith their subcases for every byte in one pixel. This idea dependent on both visual and factual. As indicated by the means ofstyle, we have been closed 16 primary cases with their subcases that spread all parts of the info information into shadingbitmap picture. High-security layers are anticipated through 3 layers to shape it inconvenient to hinder through the coding ofthe PC record and befuddle steganalytic as well. These systems are progressively valuable for distinguishing thestegopictures just as the picture media identifying with security of pictures and insert the information for complex pictureterritory and we can without much of a stretch gauge the high installing rate by utilizing the quantitative steganalytic method.
Traffic Parameter Estimation System in Urban Scene Based on Machine Vision

The estimation and acquisition of traffic parameter information is the key to solving urban management and control problems. This paper proposed a novel video-based traffic parameter extraction system. In the first part, we used advanced techniques such as deep learning, calibration method, and image processing to obtain the key information such as vehicle trajectories of the traffic video. In the second part, all information of the first part was processed uniformly and generated traffic parameters such as traffic flow, vehicle type, vehicle composition of different vehicle types, and speed of vehicles passing through a scene in a traffic video. The results show that the accuracy of the information obtained by the proposed system can reach more than 90%. High-precision and abundant traffic parameters can provide important data support for traffic management and control, which illustrate the importance and significance of the proposed system.
Fortune Nets for Fortunettes: Formal, Petri Nets-Based, Engineering of Feedforward for GUI Widgets

Feedback and feedforward are two fundamental mechanisms that supports users’ activities while interacting with computing devices. While feedback can be easily solved by providing information to the users following the triggering of an action, feedforward is much more complex as it must provide information before an action is performed. Fortunettes is a generic mechanism providing a systematic way of designing feedforward addressing both action and presentation problems. Including a feedforward mechanism significantly increases the complexity of the interactive application hardening developers’ tasks to detect and correct defects. This paper proposes the use of an existing formal notation for describing the behavior of interactive applications and how to exploit that formal model to extend the behavior to offer feedforward. We use a small login example to demonstrate the process and the results.
Data Stream Clustering Algorithm in Data Mining

With the rapid development of Internet technology and services, data flow models have entered the field of data mining. Cluster analysis, as an important issue in the field of data flow mining, has been highly valued and widely studied in the recent past. Against this background, in this paper, the research on the analysis of data stream clustering algorithms in data mining is mentioned. This paper implements a parallelization strategy for the grid structure update in the CDD-Stream algorithm, and designs a distributed data stream clustering algorithm, DCD-Stream. In order to verify the accuracy and timeliness of the distributed data stream clustering algorithm, a comparative experiment based on Storm is designed in this paper. The results of this study show that the DCD-Stream algorithm has a clustering accuracy equivalent to the CDD-Stream algorithm on the data stream object and better timeliness.
The Teacher Â€“ Main Actor In The Knowledge Society

We live in a world in continuous transformation, mainly characterized by an informational explosion as well as an aspirational one. This can arouse interest, send to searches and constructions, but it can also create confusion. Therefore, the man needs stable benchmarks. Children and young people need support and guidance. The roles of the teacher are about to be rethought, not so much from the perspective of their change, but from the point of view of adapting to the new demands. The concept of education for the knowledge society starts to be formed in the second half of the 20th century. During this period, the change of the entire educational system of the society is taking place. To effectively promote the development of the knowledge-based economy, it must be understood that information is a factor of production (as well as labor, land and capital). The process of globalization coincides with a fundamental transition to the informational society - a new global information-based community.
ANALYSIS ON THE PERFORMANCE OF SOME STANDARD DEEP LEARNING NETWORK MODELS FOR QUESTION ANSWERING TASK

Question Answering (QA) system is a field of Natural language processing, which allows users to post questions in natural language sentence and return a short and precise answer to the users rather than a set of documents. This work aims to evaluate three deep learning models RNN, LSTM and GRU on question answering tasks. The use of deep learning networks allows us to expand and apply these models to a variety of question answering tasks. In this work, we implement three deep learning model based question answering systems and evaluate their performance with a simple and complex question answering tasks from bAbI dataset. We will study the performance of training and testing with suitable metrics and find the difference in performance in the two question answering tasks.
Pelatihan Pendidik Sebaya tentang Generasi Berencana (GenRe) di SMP N 24 Kota Semarang

The true teenager is the hope of a nation, the country will become strong if it has teenagers who are spiritually intelligent, intellectually and have a strong emotional. As the rapid development of the world makes changes in behavior in adolescents, but these changes are more likely to lead to negative activities rather than positive activities. Problems that often arise are usually related to sexuality issues, such as unwanted pregnancy, abortion, HIV / AIDS, and drug abuse. Adolescents with these behavioral deviations need a treatment and also get information about reproductive health for young women and men, need to organize a good future by leaving unwholesome behavior that can damage the future of adolescents. Going through adolescence far from deviant behavior would certainly be our common concern. Teenagers will not be able to walk on their own without the assistance of parents, the school, home and etc. Realizing this, the Community Service Study Program of the Midwifery Study Program at the Faculty of Health, Ngudi Waluyo University, felt responsible for facilitating adolescents to learn to understand and be able to practice healthy behaviors to become adolescents who had strong hopes for the nation. Community Service is carried out in 5 stages, namely the first phase of selecting active groups of students who are willing to be agents of change for GenRe / willing to be peer educators, the second stage of counseling and training of peer educators. The third stage of mentoring is increasing peer group skills in providing information to peers. Stage four peer educators independently socialize GenRe to peers. The Fifth stage evaluates the delivery of information from peer educators to their peers, explores the usefulness of the existence of peer educators, limitations and new things that arise when becoming a peer educator.Keywords: Generation planning, peer educators
Intrusion Detection System Using Honeyword

We proposed a most accurate and best method for improving the security of hashed passwords by providing of additional “honeywords” (false passwords) associated with each user’s account. An adversary who wants to steals a file of hashed passwords and inverts the hash function cannot tell if he has found the password or a honeyword. An auxiliary server (the “Honeychecker”) can distinguish the user password from honeywords for the login routine, and will set off an alarm if a honeyword is use. we suggest an alternative approach that select the honeywords(fake pass) from existing user password in the system in order to provide realistic honeywords, a perfectly flat honeyword generation method and also to reduce the storage cost. Keywords: Authentication, honeypot, honeywords, login, passwords, password cracking
Local Wisdom and Karst Spring Management in Playen District, Gunungkidul Regency, Indonesia

For the population of Playen District, Gunungkidul Regency, karst springs serve as the primary water sources because surface rivers are rare in karst areas and, if present, the quality of their water is reportedly less than that of the springs. In the spring water utilization, local wisdom is incorporated into the management and has so far contributed to sustainability. Since only a few studies have examined local wisdom and its correlation with changes in spring management pattern, this research initiates the provision and dissemination of information on karst spring management that is applicable elsewhere. It was designed to scrutinize the local wisdom and regulatory measures implemented at many springs in Playen District. Detailed data were obtained by in-depth interviews with four key informants responsible for managing springs block 1 (Gedad, Grunggung, and Karangkulon Springs), 2 (Banyusoco and Sungai Oyo), 3 (Dung Poh, Nganding, Umbul, and Jambe), and 4 (Ngrunggo and Ngrasih). Through qualitative descriptive analysis, the research found that the laying of offerings at springs in blocks 1 and 2 during traditional celebratory ceremonies had been abandoned, but cleaning activities at and around these springs as part of the local wisdom sustained. In the context of utilization, the spring management had changed from direct manual withdrawal to indirect systematized one that used pipes with gravitational water flow system (block 1) to distribute spring water to villagers’ houses (block 2). On the contrary, local wisdom like offerings and cleaning activities at and around the springs in blocks 3 and 4 was preserved. Their management had changed from manual extraction to gas-fueled water pumping systems, which were later replaced with electricity-powered pumps (block 3), and to indirect withdrawal through pipelines with pump-generated flows (block 4). To manage the springs in all blocks and their sustainable utilization, the people of the district still adopt local wisdom. Besides, they no longer collected water directly at springs but have switched to water distribution technology like pumps and pipelines instead.
ALGORITMA APRIORI DALAM MENENTUKAN POLA KONSUMEN TERHADAP TATA LETAK BARANG

The world of trade competition requires managers to improve strategies to survive in competition, as well as the Great Stationery Store that sells stationery and office supplies. With sales transactions carried out every day, the data stack is only stored as an archive. Data Mining is a solution for decision making in developing a business. One of them is to arrange the layout of goods which greatly affects the level of sales seen from the way consumers buy goods outside of planning. By utilizing data on sales transactions that accumulate, it will produce consumer patterns to find out shopping habits and consumer buying interest. The effective data mining method for preparing the goods layout uses the Apriori algorithm association method. By using the Apriori algorithm it can produce a combination of goods purchased simultaneously from consumer patterns and produce high association rules. Sales transaction data processing using Apriori algorithm will be tested using RapidMiner software to find accurate association rules. The results of this study found 4 association rules with a minimum value of 5% support and 50% confidence which are expected to be able to recommend businesses in the preparation of the layout of goods to improve sales strategies.
PEMODELAN FAILURE TIME PADA MAHASISWA BERHENTI STUDI DI UNIVERSITAS JEMBER

Problems in higher education concerning students are always interesting objects studied from any side. One of the problems faced by universities and students is stopping study. Stopping the study of students became a problem in universities, including the University of Jember. One of the statistical methods used is Survival Analysis. In its development, survival analysis was carried out by combining the concepts of Geometric regression. Geometric is one of the non linear regression for discrete data. Geometric regression modeling cannot be done with ordinary linear modeling, but must be done using the Generalized Linear Model (GLMs) method. In this study the variables used were gender, GPA, faculty, age of entry and entry point. The results of the study students stopped studying in the first semester 140 students. Average GPA of 1.54. 62.85% male sex. Student faculty of education and teacher stopped most studies. The student entry pathway stopped the most SBMPTBR studies and 54.40% were 18 years old. Significant influential factors for stopping the study were GPA, gender and entry point. From the Geometric opportunity, it was found that female students were slower when they stopped studying than men. The faculty stops studying at the latest is the Faculty of Medicine. Keywords: Drop Out, Failure Time, Regrition Geometric Method
Mapping Character Position Based Cryptographic algorithm with Numerical Conversions

Security of data is the challenging aspects of modern information technology. An improved cryptology algorithm is introduced in this paper to offer comparatively higher security. We divide our message into several blocks as 8bits per block then convert each character into its corresponding positional number, where uppercase letters, lowercase letters, digits and special characters are mapped into some range of numbers. Then replace each decimal number into their binary equivalent consisting of 7-bits. Then combine 8 blocks of binary numbers into a single string. After performing some operation on the data, we get the final encrypted message. For decryption, we use same method in reverse way. Taking the decrypted message we perform some basic operation as replacing by binary or equivalent decimal and position then we get the original message back. Though the length of the encrypted message is larger than original message in this proposed algorithm, it offers higher security for the real-time communications
Vehicle Counting Framework for Intelligent Traffic Monitoring System

Regulating the number of vehicles on the road is one of the solutions to the traffic problems. It is done by counting the number of vehicles passing the road. However, the lack of data and the manual observation to the closed-circuit television (CCTV) cameras make this solution becomes unreliable. Thus, in this paper, the system to automatically detect and count the number of vehicles is presented. The method based on a computer vision approach which utilized background modeling and Kalman filter. The method will be evaluated using real CCTV data which were obtained in Sukoharjo north of Gas Stations (POM) Bulakrejo at 05.00 am until 5.00 pm. The CCTV produces a bird-view angle video with a resolution of 1280 × 720. The experimental result shows that our method obtains only 20% of false positive and 10% of a false negative in counting the vehicle.
Classification of (k;4)-arcs up to projective inequivalence, for k &lt; 10

Abstract In this paper, the classification of ( k ;4)-arcs up to projective inequivalence for k &lt; 10 in PG(2,13) is introduced in details according to their inequivalent number, stabilisers, the action of each stabiliser on the associated arc, and the inequivalent classes N c of secant distributions of arcs. Here, the strategy is to start from the projective line PG(1,13) where there are three projectively inequivalent tetrads.