Reviewerly/exHarmony huggingface dataset:
Improving Polri Performance Management Online Practices In Polrestabes Surabaya East Java

The Performance Evaluation of Indonesian National Police-INP initially used a system using an assessment list.But this system is no longer in line with the current development needs of the National Police Human Relation.For this reason, a revision to Perkap Number 16 of 2011 concerning Performance Assessment for Civil Servants of INP with a Performance Management System became the Regulation of the National Police Chief Number 2 of 2018 concerning Performance Evaluation of Members of the Indonesian National Police.This study uses a qualitative approach.The results of the study indicate that the implementation of performance appraisal has so far only pursued formalities and aborted obligations.The lack of knowledge and awareness of personnel regarding Perkap Number 16 of 2011, which causes the performance evaluation to be not optimal.The results of this study also show that the provision of innovative rewards and punishment such as free umrah (for Muslim police personnel) and punishment that provides learning -namely verbal reprimand from superiors and compulsory reporting, is one of the keys to improving innovation in evaluating the performance of the Indonesian National Police personnel to increase motivation to improve performance.
Enhancing Password Authentication Using Association Password Technique: An Ecological Theory of Memory and Data

The Study proposes possible solution to enhance Password Authentication using Association Technique based on the Ecological theory of memory and data at the Presbyterian university College Ghana. The study used a deductive research approach and employed two empirical Studies using the non-probability sampling technique where few respondents were selected in categories out of the populace by means of openness in other to get similar categories of respondents with different age groups and education background. The two Empirical study also used a quasi-experimental approach which structure incorporate observation, experimental treatment and timing. The First empirical study carried out an investigation to identify existing Password authentication Technique used by End Users, as well as their behavior in password utilization through a self-completed questionnaires which was analyzed using SPSS version 21 . The Second empirical study was an experiment to compared three kinds of password constructions that is own set, modified dictionary, and association against one another to see which of them would be best meet the ecological theory of memory and data which aims at creating a secured password that is easy to recall. The computation and evaluation of password construction was done using My1login Password meter whiles Levenshtein Distance String Edit Software was also used to compute the memorability of all given password. Across-tabulation was then employed out of the experiment using SPSS version 21. The result from the analysis revealed that the majority of the respondents do have weak passwords and also have few passwords which they even end up sharing with families and friends and reuse it. This confirms statements made by researchers that human being is the weakest connection in information system securities. To maintain Confidentiality, Availability and Integrity of data, the study therefore recommended the use of the Association Password technique which makes it easier to develop a much secured password that is difficult to crack but easy remember.
KONJO-BUGINESE LANGUAGE ACCOMMODATION IN INTERACTION WITH THE IMMIGRANTS IN WEST SINJAI

This study aimed to identify the use of Konjo-Buginese language in West Sinjai, Sinjai Regency and the Konjo-Buginese language accommodation in interacting with the immigrants. This study employed the ethnography theory by Dell Hymes. The data were gathered using in-depth interview, observation, and documentation and analyzed using the communication accommodation theory by Howard Giles. The results showed that Konjo-Buginese language used in West Sinjai was adopted mostly from the Konjo Mountains language and the accommodation took the form of convergence. The divergent speech behavior was only performed by the elderly people and those who do not speak Indonesian.
MOBILE BANKING SYSTEM DEVELOPMENT USING NEAR FIELD COMMUNICATION TECHNOLOGY WITH ANDROID-BASED OPERATING SYSTEM

Development of information technology (IT) is used to support business sector, including banking. One of them, banking uses IT to improve the quality of service in the form of internet banking and mobile banking. Therefor, the research focused on development of mobile banking system using Near Field Communication (NFC) technology as client authentication and security system. Features on mobile banking system are checking balance information, mutation, electricity bill, a fellow bank transfer and transfers between Bank that has been working with ATM Bersama, as well as payment of electricity bills. System development using JAVA programming language with Android Studio tools, to access server using PHP with MySQL as database management, IdWebHost as hosting services, as well as data output using JSON format. Data collection method is done with interview stage and literature study. Researcher uses system development methods of Rapid Application Development (RAD), while testing using unit testing and user acceptance testing. Result of the study is secure mobile banking system utilizing Near Field Communication technology, PIN, and AES encryption.
Impact of learning design in technology integration: the effort to improve literacy culture of widyaiswara at Pusdiklat BSSN

This research is a series of studies on the big theme of Smart-Pusdiklat at the BSSN environment. The research question revealed was how to improve the culture of BSSN Widyaiswaras’ literacy through meaningful learning whose technological scope could maintain the perspective of constructivist approaches to learning. The researcher discusses 2 (two) parts of the Learning Design, namely Technology Skills, and Meaningful Learning, in using integrated technology applications. Considering the limitations of digital exploration on the side of Widyaiswara, the literacy culture of fellow Widyaiswara becomes significant to maintain the gap. This research used exploratory research methods with a qualitative approach. This method is intended to explore a new phenomenon that may not have been studied before. This is the novelty value of this research. The application used in this study was Slack Workspace, which is integrated with 4 (four) other applications, namely Trello for Slack, Google Drive for Slack, Google Calendar for Slack, and Zoom for Slack. The specific results of this study were revealed that the Learning Design is focused on teaching technology skills, and meaningful learning to Widyaiswara. Also, by being involved in the learning experiences which are active, intentional, authentic, constructive, and cooperative.
Revocable Ciphertext-Policy Attribute-Based Encryption in Data Outsourcing Systems from Lattices

Attribute-based encryption mechanism is widely used in outsourcing systems because of its characteristics of 'one-to-many' communication. However, users' attributes often change dynamically. In order to solve the problem of attribute revocation in the attribute-based encryption scheme in the outsourcing systems, a revocable ciphertext policy attribute-based encryption in data outsourcing systems from lattices is proposed. The scheme uses the LWE problem to construct the encryption and decryption algorithm, which can resist the quantum attack. Tree-access structure is adopted to realise flexible fine-grained access strategy. In addition, with the help of the data outsourcing management server, the attribute key and ciphertext are updated to achieve immediate attribute revocation. The scheme is proved to be secure under the selective attribute and selective plaintext attacks. The comparative analysis shows that the scheme has a significant improvement in performance, and it supports immediate attribute revocation, which is more suitable for the dynamic change of users in the outsourcing systems, such as social network platforms.
PERFORMANCE APPRAISAL PRACTICES ON EMPLOYEE PERFORMANCE IN INFORMATION TECHNOLOGY SECTOR A SELECT STUDY

Performance appraisal is considered as the indispensible and significant tool for anyorganization in order to gather information that is highly utilized and helpful for the management in makingdecisions in terms of promotion and salary or merit increments. This process involves the gathering ofinformation and the process of decision making. This paper aims to study the performance appraisal practicesin the select IT organizations and to analyze the level of orientation by the organizations. Descriptive researchdesign was adopted to conduct the study and both primary and secondary data were utilized. Conveniencesampling technique was applied to draw the sample and 120 sample size was fixed for this study. Primary datawas collected through structures questionnaire and inferences were drawn with the help of statisticaltechniques like chi-square test. The study concludes that there exists a significant relationship between theperformance appraisal practices and the orientation provided by the organization.
From Project to Customized Service

The academic landscape of the Netherlands has been influenced in recent years by new governmental policies regarding open access and open science, national and European legal guidelines, developments in ICT, and changes in how researchers are assessed. The University of Groningen Library (UB) has seized the opportunity in these developments, providing research support in the domains of registration and archiving of research output, open access publishing, research data management, and research analytics. Increased efficiency in traditional library procedures and the introduction of project-based funding have provided staff capacity for these developments. Full-service customization, to meet the needs of researchers and alleviate their time and work pressure, lies at the heart of the UB's research support.
OPTIMAL ESTIMATION STRATEGIES OF PARAMETERS IN HAMILTONIAN CIRCUIT TYPE POPULATION

In this paper, we are considering population of vertices and edges have a relationship in the form of Hamiltonian Circuit. The population is assumed large therefore the parameter estimation needs sample data. The sample based estimation methodologies are used to estimate the population mean edge-length between any two vertices of a Hamiltonian Circuit. There are three possible strategies used as AVG, MIN and MAX. The optimality of these is obtained and compared using the simulation technique of confidence interval.
Sequential Pattern Mining for the U.S. Presidential Elections Using Google Cloud Platform (GCP)

All traditional growth-based pattern methods for sequential pattern mining can result recursively with length (k + 1) models on the basis of the given long-k pattern databases. In log2 (k + 1) recursion rates at best, you can detect a length-k pattern which leads to fewer recursion rates and quicker pattern development. Here we suggested a cloud-based strategy in the minimum moment and precision to obtain patterns. On the basis of the U.S. presidential candidate donations, the suggested method is implemented. These patterns are easily identified using Cloud Dataprep application from Google Cloud Platform. The time taken to generate the patterns is linear i.e., O(n).
Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain

After being legalized as an agricultural commodity by the 2018 U.S. Farm Bill, the Industrial Hemp production is moved from limited pilot programs to a regulated agriculture production system, and the market keeps increasing since then. However, Industrial Hemp Supply Chain (IHSC) faces several critical challenges, including high complexity and variability, data tampering, and lack of immutable information tracking system. In this paper, we develop a blockchain enabled internet-of-things (IoT) platform for IHSC to support process tracking, scalability, interoperability, and risk management. Basically, we create a two-layer blockchain with proof-of-authority based smart contract, which can leverage local authorities with state/federal regulators to ensure and accelerate quality control verification and regulatory compliance. Then, we develop a user-friendly mobile app so that each participant can use smart phone to real-time collect and upload their data to the cloud, and further share the process verification and tracking information through the blockchain network. Our study indicates the proposed platform can support interoperability, improve the efficiency of quality control verification, and ensure the safety of regulated IHSC.
PENERAPAN METODE DEMONSTRASI UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MENULIS PETUNJUK BAGI SISWA KELAS VII B SMP NEGERI SATU ATAP 3 SAMBIREJO

Abstrak Tujuan penelitian ini adalah untuk meningkatkan (1) motivasi belajar menulis petunjuk, (2) hasil belajar menulis petunjuk, dan (3) motivasi dan hasil belajar menulis petunjuk dengan metode demonstrasi. Penelitian ini merupakan penelitian tindakan kelas (PTK) yang dilakukan di SMP Negeri Satu Atap 3 Sambirejo, Sragen, semester gasal tahun pelajaran 2013/2014 dengan subjek siswa kelas VIII B. Berdasarkan hasil penelitian dapat disimpulkan bahwa terdapat peningkatan motivasi dan hasil belajar menulis petunjuk dengan metode demonstrasi pada siswa kelas VIII B SMP N Satu Atap 3 Sambirejo semester gasal tahun pelajaran 2013/2014, baik secara teoretis maupun empiris. Kata kunci: metode demonstrasi, motivasi belajar, hasil belajar, menulis petunjuk Abstract This research aims at improving (1) the learning motivation of writing procedure texts, (2) the learning outcome of writing procedure texts, and (3) the motivation and the learning outcome of writing procedure texts using demonstrative method. It was a classroom-based action research which involved grade VIII B students of SMP Negeri Satu Atap 3 Sambirejo, Sragen, in the odd semester of academic year 2013/2014. The study reveals that there has been progress theoretically and empirically on the students’ motivation and learning outcome. Keywords: demonstrative method, learning motivation, learning outcome, writing        procedure texts
Blockchain and Technologies Matching with the Case of Study of Vegetables Production

The proposed work describes a new approach based on supply chain traceability by blockchain (BC). The basic BC network has been designed and applied for vegetables process monitoring and tracing. The paper proposes some results of an industry research project by describing the whole scenario, the architectures implementing BC, the sequence diagram principle, and the prototype network embedding blocks and transactions. The discussion is also addressed on the possibility to combine different technique such as artificial intelligence, and image processing to improve pre-cut vegetable quality. The paper proposed preliminary results proves that the adopted technologies and the methodologies found in the literature are suitable for the sanitation process certification and for quality traceability. The mentioned approaches are useful to apply the suggested frameworks for other supply chains.
Application of Cubic Nonlinear Regression on the Effects of Rainfall on Rice Harvest Results

Sukoharjo rice yields fluctuate every year. There is no system used for predicting rice yields in the Sukoharjo region, this results in a lack of information to increase rice production in Sukoharjo Regency.The purpose of this study is to apply the Cubic Nonlinear regression method to predict rice yields in Sukoharjo Regency, taking into account the influence of average rainfall on the prediction of rice yields.The design method uses Unified Model Language (UML), the application is designed with the vb net programming language and sql server database system, testing the functionality using the Black Box Test and testing the validity using MAPE. The calculated data is the 2016 data. The results of the study show predictions in 2017 have a MAPE of . This shows the prediction error rate of Based on the results of the functionality test, 100% of the applications function.
Perbandingan Fitur Ekstraksi Untuk Klasifikasi Emosi Pada Sosial Media

Emotions are complex conscious experiences characterizing mental states, such as excitement, anger, love, fear, and so on, as part of important human nature. Nowadays, many people express themselves as a reflection of their personality using social media. Social Media grows and becomes a method for social interaction and information sharing. Based on that, researchers tried to use social media data to classify someone's emotions. Emotional detection of text from social media is a field of research that is gaining a high interest, especially for the sake of emotional analysis. To be able to classify such emotions, researchers use comparative feature comparison and algorithms classification. The comparison of features in this research is the extraction features TF-IDF and N-gram which are then classified using Naïve bayes algorithm. However, before the extraction feature is applied, there is a pre-processing text technique using several methods: Case Folding, Stopword Removal, and Stemming. Based on this research, techniques of extraction features in this research generating the highest accuracy value after the classification method is the TF-IDF with an accuracy value of 80%, 98% for the highest value of precision in measurement of “pleasure” emotion, 99% for the highest recall value is in “happy” emotion, and 95% for the highest F1-score value in “pleasure” emotion.
Iterative Spectral Mollification and Conjugation for Successive Edge Detection

Abstract Fourier concentration method is a well-established method for finding edges given a set of truncated Fourier data. However, it is hard to distinguish weak jumps from the Gibbs oscillations with the method unless the concentration is highly refined locally. In this note, we show that it is possible to find all edges whether strong or weak by using the method iteratively. The iterative method first finds strong edges followed by an iterative procedure in which previously found edges are smoothed by local adaptive mollifier. The iterative method is advantageous when the ratio of the largest to smallest jump magnitudes is significantly large.
Bulanık Bilişsel Harita Tabanlı PD Kontrolörler Kullanılarak Ters Sarkaç Sisteminin Stabilizasyonu

Soft computing techniques are frequently used in modeling and control applications of nonlinear systems.However, the fuzzy cognitive map method, which is one of the soft computing techniques, is rarely used in control applications as a main controller.In this study, a fuzzy cognitive map based PD controller structure is introduced and used for the stabilization of an inverted pendulum system which is a nonlinear, unstable, and under-actuated system.The proposed controller has two inputs which are the error and the change of error.In the proposed PD controller structure, the crisp input values are fuzzified to be handled in a fuzzy cognitive map process.Then, causal relationships between fuzzified inputs and a control output are defined by using weight parameters.Finally, the crisp control output value which will be applied to the system is obtained by using an activation function.The types of membership functions used for the fuzzification process and the activation function determine the nonlinear characteristics of the proposed fuzzy cognitive map based PD controller.The proposed controller has three tuning parameters which are one output gain and two weight parameters.To show the effectiveness and robustness of the proposed fuzzy cognitive map based PD controller, simulation studies are performed on an inverted pendulum system.Additionally, the performance of the proposed controller is compared with a PD controller.All controller parameters are determined by using a genetic algorithm.Comparison results indicate that the proposed fuzzy cognitive map based PD controller shows better control performance than the classical PD controller.
Image-based Portrait Engraving

This paper describes a simple image-based method that applies engraving stylisation to portraits using ordered dithering. Face detection is used to estimate a rough proxy geometry of the head consisting of a cylinder, which is used to warp the dither matrix, causing the engraving lines to curve around the face for better stylisation. Finally, an application of the approach to colour engraving is demonstrated.
THE EFFECT OF KNOWLEDGE CREATION ON UNIVERSITY PERFORMANCE

The paper examines the role of organizational culture in mediating the effect of knowledge creation on the performance of university in global pandemic conditions. The research was conducted through a survey approach to 135 leaders in institutions both at state and private universities/colleges in Hanoi capital, Vietnam. Data were analyzed using the Path analysis approach, while the mediation test with the Sobel test. The results showed that knowledge creation influences organizational performance both directly and through organizational culture. Organizational culture mediates the effect of knowledge creation on college performance.
[Wrong]Array Representation of Entanglement for Pseudo-Quantum Gate Computing on Conventional Digital Circuits

&lt;p&gt;[Note] Method in this article found as wrong and does not work.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Entanglement is important on quantum gate based computer.&lt;/p&gt;&lt;p&gt;Simple implementation of simulated entanglement on conventional digital circuits requires&lt;/p&gt; &lt;p&gt; spatial complexity O(2^N) where N is number of qubits.&lt;/p&gt; &lt;p&gt;In this article, array representation of entanglement which requires&lt;/p&gt; &lt;p&gt; spatial complexity O(N^2) is proposed for simulated quantum gate on conventional digital circuits.&lt;/p&gt; &lt;p&gt;Simulation shows proposed method can solve the problem which Deutsch-Jozsa algorithm solves.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt;
Examining Streaming Data on Twitter Hash Tags with Relevance to Social Problems

During the most recent years, usage of a variety of social networking sites, such as Twitter, Facebook, has been dramatically used by many. Due to these networking sites, an enormous volume of information is generated and there is an urge to investigate and process these data. At the present moment, most of the people accurately articulate their own opinions and views on a diverse of topics such as politics, movies, industries, etc. all the way through personal blog websites. Our paper will analyze the diverse posts of users who had expressed their opinions and views in Twitter and we try to extract the sentiment polarity as positive, negative and neutral. We are using R programming to bring out the sentiment analysis and analyze the data usually in the form of criticisms and reviews. We characterize the outcomes of sentiment analysis of Twitter statistics as positive, neutral and negative sentiments.
Variational Bayes for Gaussian Factor Models under the Cumulative Shrinkage Process

The cumulative shrinkage process is an increasing shrinkage prior that can be employed within models in which additional terms are supposed to play a progressively negligible role. A natural application is to Gaussian factor models, where such a process has proved effective in inducing parsimonious representations while providing accurate inference on the data covariance matrix. The cumulative shrinkage process came with an adaptive Gibbs sampler that tunes the number of latent factors throughout iterations, which makes it faster than the non-adaptive Gibbs sampler. In this work we propose a variational algorithm for Gaussian factor models endowed with a cumulative shrinkage process. Such a strategy provides comparable inference with respect to the adaptive Gibbs sampler and further reduces runtime