Reviewerly/exHarmony huggingface dataset:
An Evolutionary Multi-objective Discretization based on Normalized Cut

Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect. Therefore, discretization as one of the preprocessing techniques plays an important role in learning processes. The most important challenge in the discretization process is to reduce the number of features’ values. This operation should be applied in a way that relationships between the features are maintained and accuracy of the classification algorithms would increase. In this paper, a new evolutionary multi-objective algorithm is presented. The proposed algorithm uses three objective functions to achieve high-quality discretization. The first and second objectives minimize the number of selected cut points and classification error, respectively. The third objective introduces a new criterion called the normalized cut, which uses the relationships between their features’ values to maintain the nature of the data. The performance of the proposed algorithm was tested using 20 benchmark datasets. According to the comparisons and the results of nonparametric statistical tests, the proposed algorithm has a better performance than other existing major methods.
Analisis faktor memilih karier jabatan fungsional pustakawan di Perpustakaan Pusat Universitas Padjadjaran

Choosing the type of job for a civil servant is the first step to establishing a career. A civil servant can opt for several careers. One of which is the functional librarian, through the librarian at the skill level and the librarian at the expertise level. Many factors are the background of career selection for civil servants who choose the functional librarian so that the librarian profession can develop both in quantity and quality. This study aimed to determine the civil servant's factors choosing the functional librarian at Universitas Padjadjaran in Bandung. This research used a descriptive method through a qualitative approach, by distributing questionnaires conducted from December 7, 2017, to December 15, 2017. The total number of population sampel was 100 people. Based on the study results, the conclusions are that many of the a civil servant choose the functional librarian due leadership encouragement, to the opportunity to move up the rank/class faster and the expectation of increased income. The job for a civil servant choose the functional librarian because of the opportunity to move up the rank faster to increase income. In addition, educational staff as functional positions to get a level or a career that is better than the job previous condition. Meanwhile, the job for a civil servant basically already have expertise in the field of library science in the different degrees.
Improved Intelligent Water Droplet Navigation Method for Mobile Robot Based on Multi-sensor Fusion

To improve the navigation accuracy of mobile robots, a grid map construction based on multi-sensor fusion is proposed from the perspective of map construction. And a path planning algorithm based on improved intelligent water droplet algorithm is proposed. Firstly, the observation model and information fusion framework of radar and depth vision sensor are established to construct the grid map. Secondly, the intelligent water droplet algorithm is introduced into the path planning model. The neighborhood perturbation strategy is used to optimize the evolution process of intelligent water droplets. Finally, through the verification of map construction on the mobile robot, as well as the experimental simulation of robot path planning, the improvement of map accuracy by multi-sensor fusion and the effective improvement of path convergence speed and accuracy by the intelligent drop algorithm are verified.
Re-Visits the Grand Theory of Geoffrey Leech: Seven Types of Meaning

Meaning is the field of the study discussed in the semantic field. Semantics is a branch of linguistics that studies the meaning of words in languages. This present study would like to set thought and argues that the meaning of a word in language can be known with the foundation of semantic perspective. Therefore, this present study focused on explaining its thought based on the seven types of meaning and their descriptions in the book of Semantics by Geoffrey Leech: 1981. The research aims to classify and to identify seven types of meanings, and also to analyze Leech’s book and three article reviews of his theory. This present study uses a qualitative approach focusing on the words, phrases, and sentences regarding the theory. The result of this research believes that there are seven types of meaning just as Leech’s mentioned in his theory, namely conceptual, connotative, collocative, reflective, affective, social, and thematic. This present study also found that the seven types of meaning have variations in their descriptions which somehow liked to connotative meaning, social meaning, affective meaning, reflected meaning and collocative meaning include to associative meaning.
Localizing JPEG Image Forgeries via SIFT and DCT Coefficient Analysis

As JPEG is one of the most popularly used image formats, localizing JPEG image forgeries plays a special role in passive forensics. In this paper, a copy-move forgery detection scheme combined scale invariant feature transform (SIFT) with discrete cosine transform (DCT) coefficient analysis in JPEG images is proposed. Generally, all the matching sift keypoints are located at the suspected regions obviously by means of sift-based forensic methods. But they cannot discriminate between original and forged regions. In order to localize the regional tampering, two conditional probabilities formulas made by histogram and interval length of quantized DCT coefficients are introduced. By comparing the two probabilities of 8 × 8 image block to which each sift keypoint belongs, it can determine if the block is authentic or not. Experimental results demonstrate that the proposed scheme is effective on localizing the tampered area, especially for avoiding misjudgment in a true image.
Sistem Deteksi Biometrik Keunikan Wajah Secara Real Time

&lt;table width="605" border="0" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="382"&gt;&lt;p&gt;Facial recognition is important for identifying a person's biodata profile. The physical development of students from the time they entered college to graduation has experienced inconspicuous changes but it is sometimes difficult to identify faces one by one. Digital form is becoming a trend to remember more real time. An important part of human physical identification has begun to shift from signature - finger - face selection. The face includes five important senses that are interconnected into an identification device. In this study the focus is on face detection based on color, the application of the Camshift Algorithm and finding the distance between the face sensing points is the result of the Gabor Wavelet method. Training data uses 4-8 second real time video. The hue histogram is basically the same as the RGB histogram, the difference is that the hue histogram uses the Hue value instead of RGB because the hue value represents natural color without regard to lighting. Gabor Wavelet transform is provided to solve filter design problems. The face detection system looks for face points to form a frame-shaped face selection if previously the face has been stored in a database so the system can easily describe biodata. Face selection can be done on live testing data. The selection box detection follows every facial movement.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;
Value orientations of a modern teenager

The comparative analysis of data from student surveys of different years (from 1991 to 2017) has revealed their emotional assessment of life prospects, formation of plans for the future and value priorities.The data analysis considered the factors of social stratification (level of household welfare).It has identified growing social differentiation as well as changes in the emotional assessment of success in life among different populations of adolescents which is reflective of the dynamics of socio-economic well-being of the country.It is revealed that the assessment of success and planning can be considered as two relatively independent parameters for intergenerational comparisons of adolescents.For high-income students priority values are associated with social success whereas low-income students opt for personal fulfillment.The study included a special comparative analysis of value orientations among adolescents surveyed in 2002 and 2017 taking into account their age, sex and self-assessment of household welfare.This study found that intergenerational differences are manifested with respect to two types of value oppositions: "the desire for self-fulfillment and maintaining health" and "problematization of future and situational behavior".
Upaya untuk Meningkatkan Kemampuan Guru dalam Pemanfaatan Media Microsoft Powerpoint pada Mata Pelajaran SKI di MI NU Rawa Bening

Teachers are the drivers of education, in the digital era teachers are required to renew learning by utilizing existing technology with the aim of not lagging behind the times. The facts in the field show that conditions are of concern, the use of technology is still not optimal. This is due to the lack of facilities that support the development of learning technology and also the human resources that control the technology are also minimal. This training aims to provide training by presenting some material related to the development of interactive learning media, namely Microsoft Power Point so that the implementation of SKI learning at Rawabening MI schools does not seem monotonous so as to increase interest and quality of learning among students. The coaching process delivered by the servants who acted as instructors and tutors took place conducively. Material designed in such a way by servants can be understood, understood and well understood by the participants. This was evident from the enthusiasm of the participants who participated in the training actively communicating with the speaker, so that the training was carried out well and interactively.
Sistem Cerdas Deteksi Sinyal Elektrokardiogram (EKG) untuk Klasifikasi Jantung Normal dan Abnormal Menggunakan Jaringan Syaraf Tiruan (JST)

This article aims to describe the accuracy of signal processing using neural networks. The design of this final project hardware consists of Arduino Uno, AD8232 module and electrodes. ECG signals obtained from respondents were used as test data for normal ECG signals, while for abnormal class test data the data used were obtained from the research website, namely physionet with atrial fibrillation class. The design process in this system includes the process of data acquisition, training, feature extraction, testing and classification with artificial neural networks. Based on the results of the performance of this device to record ECG signals on respondents obtained normal ECG signals because the results of recorded ECG signals have a similarity in the PQRST wave with a predetermined target. This system can detect the classification of the heart by recognizing the statistical characteristics of the two signal classes and is trained using neural networks. Based on the testing process using an artificial neural network obtained an accuracy of 76.9%.
Intelligent Systems as a Tool for Predicting Electrical Energy and Power Generation

The paper deals with the problem of solar power plant energy output forecasting using one of the approaches of artificial intelligence as a mathematical tool. The authors give a detailed review of existing practical approaches of weather forecasting, which are typically used for solar power plant energy output prediction. Main advantages and disadvantages of existing approaches were outlined and their application sphere was analyzed. The practical part of the paper provides the description of artificial neural network model for solar power plant energy output forecasting for day-ahead time horizon. The training and testing samples were composed from existing solar power plant retrospective measurement data and weather data, extracted from meteorology provider's opensource database. The mean forecasting error was found to be around 14%, which provides a promising basis for neural network approach application and improvement.
Towards Developing a Secure and Robust Solution for E-Voting using Blockchain

Blockchain is one of the upcoming technologies in computing. It provides a tamper-proof distributed ledger which ensures integrity and authentication, as well as eliminates the need of a centralized trusted authority. This results in a secure and trusted system observed by the public. Although the blockchain was first applied to cryptocurrencies (which resulted in bitcoin), the features it provides are desirable for several other applications. In this paper, we develop a blockchain-based solution for securely digitizing the voting process. Election process is an important test of democracy and rigging the election may have disastrous consequences. Through our solution, we aim to provide a platform for voters to cast their vote securely online, from their home. The votes will be published in the blockchain, which will be observable by everyone. This would result in a tamper-proof ballot system which would be impossible to manipulate. The anonymity of voters will be maintained. We aim to apply this in the Indian context. We further show how our system meets the requirement of an online voting system, and how it resolves the issues present in current as well as proposed systems for the same.
The Comparison between Wattpad and Blog in Project Based Learning to Teach Written Analytical Exposition Text

This final project was based on a research which attempts to investigate the use of wattpad and blog combined with project based learning in teaching writing skills. The purpose of the study was to find out which one is more effective between wattpad and blog in project based learning to teach written analytical exposition text. A quasi-experimental study was used as the research design in this study. The sample was the eleventh grade students of SMA Ibu Kartini Semarang that involved 26 students. They were divided into experimental group 1 and experimental group 2. The experimental group 1 was taught using wattpad while the experimental group 2 was taught using blog as the learning media and both of them used project based learning as teaching method.&#x0D; The pre-test result revealed the mean score of the experimental group 1 was 60.76 and the experimental group 2 was 60.69. It meant that the two groups had similar competence before getting the treatment. The post-test mean scores of experimental group 1 and experimental group 2 were 80.23 and 74.46. The t-test of post-test showed that there was a significant difference between the experimental group 1 and the experimental group2 since t-value was higher than t-table (4.490 &gt; 2.064).&#x0D; It could be concluded that both wattpad and blog were effective as the learning media to teach writing skills. However, the use of wattpad was more effective than using blog in project-based learning to teach written analytical exposition text. Therefore, it was suggested that the teachers should consider the social media of wattpad and blog were the effective learning media in teaching writing because they allowed the students to express ideas and develop their writing skills. &#x0D; Keywords: Wattpad; Blog; Project Based Learning; Writing; Analytical Exposition Text
Implementasi Data Mining Penjualan Produk Pakaian Dengan Algoritma Apriori

&lt;p&gt;The problem faced by the Tanjung Redjo clothing store is the lack of management of sales data and irregular arrangement of clothing products. The arrangement of the location of clothing products on the shelf is not well regulated. The speed of service to customers can be improved by making the layout of clothing products good and orderly, so that store staff can find clothing products quickly. Shoppers can also search and view apparel accessories that are often sold together quickly, potentially increasing store sales turnover. A better and more organized arrangement of clothing products can be done by analyzing sales transactions that occur daily at the store by using the Apriori algorithm. By using this algorithm, the shop owner can find out the tendency of a combination of clothing products that are often sold at the same time, so that the shop owner can arrange the layout of clothing products well and regularly so that buyers or employees can find and retrieve clothing products quickly. How the Apriori algorithm works to find a combination of clothing products that are often sold simultaneously from a sales transaction. Rules applied If buying KA-701 and KK-201 and SP-2001, then buy ST-651. Support and Confidence values are calculated until 4 combination items are obtained to get the best selling associative rule output output.&lt;/p&gt;
Efficient Profilometry Using Tilted Grating Scanning Structured Illumination Microscopy

Traditional structured illumination microscopy (SIM) base on phase-shift algorithm requires multiple images for each scanning location to calculate the modulation depth response (MDR), which results in low measurement efficiency. In this letter, we develop an efficient method called tilted grating scanning structure illumination microscope (TS-SIM) to enhance the measurement speed. In this method, we scan the tilted grating in a direction perpendicular to the optical axis to generate the intensity curve for each pixel. After that, the Fourier transform algorithm is applied to extract the MDR curve for each pixel from the corresponding intensity. The position with the maximum value of MDR for each pixel is extracted to reshape the surface topography precisely. With this technique, only one image is demanded for each scanning position which significantly improves the efficiency, demonstrating the potential to be applied in fast measurement. The experiment and theoretical analysis are elaborated to verify the feasibility of the method.
SECURE TRANSMISSION OF DATA USING IMAGE STEGANOGRAPHY

Data is one of the most relevant and important term from the ancient Greek age to modern science and business. The amount of data and use of data transformation for organizational work is increasing. So, for the sake of security and to avoid data loss and unauthorized access of data we have designed an image Steganographic algorithm implementing both Cryptography and Steganography. This algorithm imposed a cipher text within a cover image to conceal the existence of the cipher text and the stego-image is transferred from sender to intended receiver by invoking a distributed connection among them to achieve the data authenticity.
Trends and Problems of Updated Approaches to Learner Autonomy

The paper shows that independent work of students in current conditions has acquired the status of one of the critical forms of organization of students' activities aimed at the development of graduates' readiness for permanent self-development as a necessary condition for successful adaptation in a continuously changing educational, professional, and social environment.The structural components of the independent work of students as a type of educational activity carried out by students as indirect management from teachers are also revealed.The pedagogical conditions for increasing efficiency of independent work of students also include a clear definition of places, goals, and objectives of independent work in the structure of educational process; use of methods for motivation of students to perform independent work; design and application of a system of successive complicating level of problems of competence-oriented educational tasks; as well as creation of information and educational environment.
Vertebra osteoporosis detection based on bone density using Index-Singh statistical blended method

Osteoporosis is a progressive decrease in bone density so that the bones become brittle and broken. Bones are composed of minerals such as calcium and phosphate, so the bones become hard and solid. Many people do not realize that osteoporosis is a silent disease. Therefore, early detection of osteoporosis is very important. Detection of osteoporosis can be done by utilizing x-ray images of the vertebra. In this research the detection of bone density using blended statistical methods and Index-Singh. The x-ray sample used in this research was 50 images of osteoporosis patients. The result of the area calculation yields the highest white pixel is 7,983 pixels and the lowest white pixel is 5,410 pixels. Based on the results of these calculations, a statistical grouping is conducted into 6 Index-Singh. The range of statistical values is 5,410–6,266 pixels grouped into Index-Singh 1, range of data 6,323–6,512 pixels grouped into Index-Singh 2, the data range 6,520-6,747 pixels grouped into Index-Singh 3, data range 6,778-6,998 pixels grouped into Index-Singh 4, data range 7,001-7,219 pixels grouped into Index-Singh 5, and data range 7,338-7,983 pixels grouped into Index-Singh 6. Overall, the results of testing the osteoporosis detection system have been successful and can be used as an early detection system for osteoporosis. This assistance system has a detection accuracy of 76% compared to doctor's justification.
Evaluación de competencias digitales de estudiantes de la Universidad Católica de Santo Toribio de Mogrovejo (Perú)

The research has been carried out at the Catholic University of Santo Toribio de Mogrovejo in Chiclayo (Peru). Digital literacy and digital competence are key today for all citizens (for their personal development, social integration, access to culture and knowledge, to be able to communicate and receive information, work and recreational tools, ...) being an indispensable tool for University students, both for learning and for the development of research competence. The objective, of the research, is to know to what extent the informational dimension, which is part of the digital competence, is acquired by the students of that University. The methodology used has been a survey type, through the application of a questionnaire.The results of the research is that, despite the importance of access to quality information for university students, the level of the majority of the students in the sample, in terms of mastery of the informational dimension, is in process to achieve it and an eighth of them, has already managed to dominate the informational dimension.
Decision-Making as a Self-Organizing Process

In this article, we present the analysis of the process of decision-making by applying the main concepts of complexity science linked with the theories of emotions. Decision-making in our personal or immediate social life concerns our future and involves surprises, uncertainty, and complexity. This is why complexity science, and especially the idea of self-organization is the most suitable for studying this unpredictable and surprising phenomenon. We propose that the process of decision-making in human life goes through three phases: The will phase, the choice phase, and the decision phase.