Reviewerly/exHarmony huggingface dataset:
Flood Management Model in Digital Era, Using SAST (Strtategic Assumption Surfacing and Testing) and the Exponential Comparison Method (ECM): A Case Study in Jakarta

Flooding is a regular annual disaster in Jakarta, especially in December to February. Geographical position of Jakarta which is 40% below sea level, causes flooding not only from rain, but also from rob due to rising sea levels. In the last 5 years the impact of flooding became more serious, leading to economic and human losses.&#x0D; This study aims to determine the right strategy of flood mitigation by public involvement in the digital era. The method used includes combination of quality input data from experts representing BNPB (National Disaster Agency), Local Goverment, Academics, Community Leaders, Businessmen, and Practitioners, in addition to vulnerable field research. Data analysis uses the ECM (Exponential Comparison Method) and SAST (Strategic Assumption Surfacing and Testing).&#x0D; The result of the study indicates that the most appropriate strategy to mitigate flood disaster is establishment of “Disaster Information Center” and "Disaster alert groups” involving every stakeholder from the community. Utilization of social media, especially WhatsApp, Facebook, and Instagram has been very helpful to share information of flood, especially how to prepare an emergency action to reduce economic and human losses.
Dynamic Clustering based on Evolutionary Algorithms Asexual Reproduction Optimization (ARO)

Wireless sensor networks (WSNs) in the dynamic system have various limitations, of which the limitation of using and supplying of energy, bandwidth limitation of wireless communication links among the nodes can be cited.In spite of the various applications of these networks and the efforts made to eliminate the raised constraints, the challenges still survive, The ARO optimization method which is responsible for the dynamic clustering of the system is used in this study.Then, according to fuzzy algorithm, it performs optimal routing between the clusters.In the new proposed method here, F_WU_ARO wireless sensor network is defined as 200 sensors, distributed uniformly and randomly in a square-shaped area with an area of 100 square meters.Moreover, each cluster-head (CH) has the address or the location of its neighboring clusters and can send the relevant data if needed.In the proposed hybrid method of F_WU_ARO, with its used parameters, the residual energy based on the death of the first, middle, and last network sensors showed an improvement in the level of system sustainability in comparison to F_WU_PSO algorithm at the values of 1.5, 3, and 5 percent, respectively.In addition, it showed a reduction in the time spent with the amount of 0.14 (based on the minute).
Compliance of Public Elementary Schools with the Enhanced School Improvement Plan

This descriptive-comparative research was conducted to determine the compliance level of public elementary schools in Bacolod City Division with the Enhanced School Improvement Plan (E-SIP) as assessed by internal and external assessors when taken as a whole and when compared according to school demographics in the major phases of E-SIP development and implementation process. Likewise, it detailed the challenges and actions undertaken in the E-SIP compliance. Using the standardized SIP quality assessment tool, the results revealed a ‘satisfactory’ level of E-SIP compliance as a whole while ‘highly satisfactory’ levels in plan and act phases. It further showed significant differences in preparatory, assess and act phases for both school performance and designation of assessors. The results of the assessment were attributed to varying interpretation of some criteria and the absence of mode of verification in the E-SIP compliance. Hence, a policy recommendation was designed to attain successful E-SIP compliance of public elementary schools.
Development of National Digital Evidence Metadata

The industrial era 4.0 has caused tremendous disruption in many sectors of life. The rapid development of information and communication technology has made the global industrial world undergo a revolution. The act of cyber-crime in Indonesia that utilizes computer equipment, mobile phones are increasingly increasing. The information in a file whose contents are explained about files is called metadata. The evidence items for cyber cases are divided into two types, namely physical evidence, and digital evidence. Physical evidence and digital evidence have different characteristics, the concept will very likely cause problems when applied to digital evidence. The management of national digital evidence that is associated with continued metadata is mostly carried out by researchers. Considering the importance of national digital evidence management solutions in the cyber-crime investigation process the research focused on identifying and modeling correlations with the digital image metadata security approach. Correlation analysis reads metadata characteristics, namely document files, sounds and digital evidence correlation analysis using standard file maker parameters, size, file type and time combined with digital image metadata. nationally designed the highest level of security is needed. Security-enhancing solutions can be encrypted against digital image metadata (EXIF). Read EXIF Metadata in the original digital image based on the EXIF 2.3 Standard ID Tag, then encrypt and insert it into the last line. The description process will return EXIF decryption results in the header image. This can secure EXIF Metadata information without changing the image quality
Improving evolutionary algorithm applied in the ciphering system SEC

Nowadays the computer security becomes, increasingly, an important and indispensable field. It represents a major challenge for all entities: economic, political, social and all others…. However, few are the cryptographic systems that ensure security and still resists to the enormous growth in technology. Now, cryptanalysis tools are much more sophisticated and more powerful than before. Hence the need to design new systems that can be competitive to the old ones, Cryptographic systems with new properties and able to support this technology watch. In this work we have focused on the SEC encryption system recently developed and uses a new approach of ciphering based on evolutionary algorithms, hence it’s called: Symmetrical Evolutionary Ciphering. Our goal is to study this system and improve its resistance against all possible types of attack. Since our belief that the strength of this type of algorithm will be very beneficial in cryptography. In this paper, we will present a new evaluation function that we have developed for SEC to give birth to most pertinent results and improve performance of this system.
Prediction of Parkinson Disease by Best Accuracy using Supervised Classification Machine Learning Approach

Parkinson's disease is the most prevalent neurodegenerative disorder affecting more than 10 million people worldwide. There is no single test which can be administered for diagnosing Parkinson's disease. Because of these difficulties, to investigate a machine learning approach to accurately diagnose Parkinson's, using a given dataset. To prevent this problem in medical sectors have to predict the disease affected or not by finding accuracy calculation using machine learning techniques. The aim is to investigate machine learning based techniques for Parkinson disease by prediction results in best accuracy with finding classification report. The analysis of dataset by supervised machine learning technique(SMLT) to capture several information's like, variable identification, univariate analysis, bivariate and multivariate analysis, missing value treatments and analyze the data validation, data cleaning/preparing and data visualization will be done on the entire given dataset
Correction to: The Kendrick modelling platform: language abstractions and tools for epidemiology

Following publication of the original article [1], the author noticed that the following lines were missing from the published article. The original article has been corrected.
Cadets’ Perceptions on the Teaching Methods and Their Influence on Cadets’ Language Learning Process: A Study on the Co-curricular English Class of PIP Semarang

Cadets’ perception is very important in teaching and learning process. Cadets who perceive the teaching methods used by their teachers positively are more likely to achieve better results. This study aims to investigate cadets’ perceptions on teaching methods used by English teachers in the Co-curricular English class and how they influence cadets’ language learning process especially on the aspect of language improvement, motivation, self-confidence and attitude. As many as 200 questionnaires were distributed randomly to the first-year cadets of PIP Semarang and 10 of the cadets were involved for the interview. The study found that 79.2% cadets have positive perception towards the teaching methods used by English teachers, while the rest (20,8%) have negative perception. This study also revealed that cadets perceive their class more positively if the teachers use interesting method such as games and challenge. It is expected that the result of this study can become an evaluation to improve teaching and learning process ahead.
“Instructing” the Cruxes of Language Errors: Diagnosing the EFL Students’ Significant Translation Errors

The study follows growing the author&amp;rsquo;s concern over the EFL students&amp;rsquo; significant translation errors although a number of researches in the field of Error Analysis showed the equivalent/unchanged results, namely, MT and TL interferences were the major causes of the EFL students&amp;rsquo; Writing and Translation errors. EFL students keep making errors. On the basis of the facts, the study aims at specifically instructing the cruxes of the errors, diagnosing the students&amp;rsquo; errors and observing whether or not significant improvements were found after instructing the errors. This study entailed the use of a qualitative method design. The purposive sampling and typical sample technique were ways of selecting the population and sample. Observation and unstructured interviews were techniques of collecting the data while the 1973 Corder&amp;rsquo;s clinical elicitation; and Miles and Huberman&amp;rsquo;s flow model were techniques of analysing the data. The results of the study showed that the significant translation errors made by the 2nd-year ED class II-A students before instructing the cruxes of errors were heavily centred on MT causes, TL interferences, and Communication Strategy of Holistic strategy of Approximation and Analytical strategy of Circumlocution-based errors. The total number of these errors was 1,948. In contrast, after instructing them, it significantly decreased to 636. The decrease in the number of errors in the students&amp;rsquo; translation positively signified that the instruction of the cruxes of the errors could deduct students&amp;rsquo; critical English language issues from making errors. The instruction in the cruxes of the errors effectively mitigates the significant effects of the MT and TL interferences, and Communication strategy-based errors; significantly improves the students&amp;rsquo; knowledge of the cruxes of the LLU errors in Translation, as well as qualifies the outputs of their Indonesian-English translation.
Security system testing on electronic integrated antenatal care (e-iANC)

Electronic Integrated Antenatal Care (e-iANC) was built as a web-based application to assist midwives in recording Antenatal Care (ANC) data including Patient Registration; Anamnesis; Physical Examination; Laboratory Test, Screening of Risk Pregnancy; Communication, Information and Education; Treatment and follow-up; Patient Disposition. To ensure e-iANC becomes a safe system, security system testing was needed. Our goals were to test the security system by using the Open Web Application Security Project (OWASP). It was conducted in computer laboratory at Universitas Esa Unggul Jakarta in August 2017. The OWASP detect include Injection, Broken Authentication and Session Management, Cross-Site Scripting (XSS), Insecure Direct Object References, Security Misconfiguration, Sensitive Data Exposure, Missing Level Access Control, Cross Site Request Forgery (CSRF), Using Known Vulnerable Components, Unvalidated Redirects and Forwards. The results indicated the risk level of e-iANC was the low category in the aspect of Cross-Domain JavaScript Source File Inclusion, Private IP Disclosure, XSS Protection Not Enabled Web Browser.
Design and Development of Smart Horn Automation System using GPS

To build a horn system that will help us to reduce the noise pollution. Automation of the driving control of car is one of the most vital need of the hour. This technology can very well implement what was absent before, by the help of obstacle sensor it detects the closer vehicle in any direction immediately it sends control signal to control .And also based on the location tracker the corresponding signals are send to the controller (arduino) and accordingly the sound of the horn get varied automatically.
AUDIT APLIKASI DEVELOP INTERNAL DENGAN COBIT 4.1 (STUDI KASUS : PT CENTRAL MEGA KENCANA)

Information technology is an important part for companies or institutions as a thing that can support the achievement of strategic plans to achieve the goals of vision, mission and corporate goals PT.Central Mega Kencana. By increasing the role of information technology, investment in information technology is getting bigger and more complex in its management. Therefore To organize, evaluate the required information technology governance by using standardized obeject approach. The governance of this information system audit is done using the AI (acquired and implemented) Cobit 4.1 framework and the final result of this analysis yields how far the level of maturity level governance maturity and recommendations for PT. Central Mega Kencana proposed.
Predicate encryption against master-key tampering attacks

Many real world attacks often target the implementation of a cryptographic scheme, rather than the algorithm itself, and a system designer has to consider new models that can capture these attacks. For example, if the key can be tampered by physical attacks on the device, the security of the scheme becomes totally unclear. In this work, we investigate predicate encryption (PE), a powerful encryption primitive, in the setting of tampering attacks. First, we show that many existing frameworks to construct PE are vulnerable to tampering attacks. Then we present a new security notion to capture such attacks. Finally, we take Attrapadung’s framework in Eurocrypt’14 as an example to show how to “compile" these frameworks to tampering resilient ones. Moreover, our method is compatible with the original pair encoding schemes without introducing any redundancy.
Practical Results of Formation of Teachers' of Philological Specialties Readiness to the Project Activity in General Educational Institutions

The article deals with the peculiarities of the organization of experimental and experimental work in forming the readiness of teachers of philological specialties for the project activity in the conditions of scientific and methodological work of general educational institutions. Statistical calculations obtained as a result of the forming stage of the experiment confirmed that within the framework of the study model implementation of the complex of the proposed pedagogical conditions for the formation of preparedness for the project activity of teachers of philological specialties in the conditions of scientific and methodological work of a comprehensive educational institution provided a significant positive result and is not a random variable of change level of readiness for the project activity of teachers-philologists.
A COLOR IMAGE STEGANOGRAPHY USING 7TH BIT PIXEL INDICATOR AND GALOIS FIELDARITHMETIC

As the web has become the medium for transmitting delicate data, the transmitted message's safety has become the top concern.Image steganography has emerged as an eminent information hiding instrument that guarantees data transmission safety.The image coding technique is used in this scheme to conceal the data along a pixel chosen and on the next value of the pixel chosen.Two parts of the message can be concealed on each pixel based on a mixture of these two values.Galois field theory is also used to build Galois picture for efficient transmission.There is nothing revealed by individual stego and Galois pictures.The Galois field of exponential reverse operation is used to disclose the hidden picture.
A Method and Tool for Analyzing Usability Testing Data in the Business Sector

Usability testing is a critical phase of the User-Centered Design and development process, where product teams can observe and measure the usability of their software solutions’ functionality, interactions and user interfaces. The subsequent validation sessions may generate a large, overwhelming, volume of empirical and unstructured data that need to be analyzed to determine meaningful outcomes for informed decisions. In this paper, we overview a new method and tool, namely EUREKA, guiding a product team, through a real-life business scenario, to analyze its usability study qualitative data and to produce comparable and replicable results, improving the User Experience of its product.
Analysis of Novel Recommendation Engine Based on Simulated Annealing Based Clustering

From past decades, recommendation plays an essential role in information retrieval process and in mining the large amount of available data. Users are facing significant challenges in information retrieval process and they could navigate these information in an efficient way. There are many clustering techniques. K-means is one of the simplest of all the clustering techniques. In this paper we are focusing on the analysis and design of a recommendation system using simulated annealing based clustering model. Simulated [1] is used to solve the problem of local minima. Simulated annealing can be used to locate the cluster centers. Simulated annealing mechanism [1] is used to locate the cluster centers. This is mainly used as a part of code optimization of k-means. One advantage of kmeans is that it is used to cluster large datasets and its performance increases proportionally with the large number of datasets.
Learning from “Totto-chan: the Little Girl at the Window”: An Educational Perspective from Japanese Author

The novel “Totto-chan: The Little Girl at the Window” is a novel which some parts of its story reflects concept of education that is unique and different. The concept education in this novel related with educational value according to Moleong perspective. Therefore, this research is mainly purposed to search about what are the educational values found in Tottochan: The Little Girl at the Window”? and how educational values appear in “Tottochan: The Little Girl at the Window” based on Moleong perspective. This research is qualitative one by using content analysis method. Two data sources were chosen the primary data source is the novel itself and the secondary data are books, literature, official websites and other relevant materials. In general, the result found educational values contained in the novel based on Moleong perspective. By this research, it is expected that teachers can implement the positive things that exist in this study and in the novels at school and also encourage students’ interest in literature.&#x0D;
Predictable Trajectory Planner in Time-domain and Hierarchical Motion Controller for Intelligent Vehicles in Structured Road

As basic modules of intelligent vehicle, path planning and its tracking have been developed rapidly. However, the trajectory generated by the traditional path-speed decoupled planning method is not feasible in the time domain. In this paper, a method based on improved RRT is proposed to achieve efficient planning and smoothing. In order to realize the matching of track points in space and time domain, closed-loop prediction is adopted to know the actually tracked path more accurately. Taking the nonlinear characteristics of lateral and longitudinal dynamics of the vehicle and the saturation of actuators into account, a unified conditional integral control law is designed to guarantee the global asymptotic stability of the tracking error and to avoid the degradation of actuators performance due to the divergence of the integral operation. Simulations and experiments prove that the proposed planning method is more efficient, the control algorithm can effectively track the planned trajectory, and the prediction method can accurately predict the actual driving trajectory, which is very important for collision detection.
SEMI-AUTOMATIC MULTI-CAMERA VIDEO ANNOTATION TOOL FOR OBJECT TRACKING AND OPTICAL FLOW BENCHMARK CREATION

This paper addresses a problem of video annotation for object tracking evaluation.Contemporary object tracking methods relies heavily on optical flow calculation techniques.State of the art optical flow calculation methods are not enough to provide robust and accurate tracking under object occlusion and shading conditions.Thus, comprehensive visual object tracking datasets are required for deep analysis, benchmarking and improvement of object tracking methods.In most cases publicly available real video datasets does not include ground truth for optical flow evaluation, so new datasets might be in demand.Public video annotation tools for object tracking dataset labeling were reviewed.Lack of open source video annotation tools with functions of automatic optical flow markers and object bounding box visual tracking was noticed.In this work we developed a new open video annotation tool that is suitable for object bounding box labeling as well as optical flow annotation in multicamera video recordings.This tool makes it possible to specify the feature point and/or moving object position on the first video frame and track its position automatically in the subsequent video frames.This tool supports manual adjustment of the tracked position if needed.Multi-layer modular architecture of the annotation tool simplifies its testing, maintenance and further extension by the community.
A Structural Framework for Distributed Electronic Voters Register

Electronic Voters Register is a key deliverable of the pre-voting stage in an E-voting system that has become a key component of governance in this 21st century. E-voting system is generally grouped into three phases: before-voting, during-voting and after-voting phase. Before-voting handles the enlistment of eligible voters into the voters’ database which is a determinant factor for a successful election. Just being enlisted is not a guarantee that a registered voter will participate in an election unless the voter is present at the particular polling unit where the voter registered, on account of change of location, the voter must request for transfer of data to the new location before the election to qualify for voting. So many voters have been disenfranchised due to inevitable relocation which poses a serious challenge in the efficiency of the voters register. This has greatly reduced the total number of eligible voters in the existing system. The Purpose of this research is to design a structural framework that eliminates the hurdles voters go through to become eligible to elect their preferred candidate. Once the Direct Data Capture (DDC) system registers a voter at each polling unit, a locally distributed database across all the registration centers collate and transmit the data to the central database through the States thereby eliminating duplicates from any quarter, redundancy, and need for transfer request as a result of migration. The most suitable approach is the distributed database model that implements a tree data structure for efficient electronic voters register.