Reviewerly/exHarmony huggingface dataset:
Information Technology Audit at XYZ Agency, a Government Institution, Using COBIT 5 Framework in Domain Delivery, Service and Support

Technology has become an important component used by humans to facilitate them in finishing work in this digital era. XYZ institution utilizes technology, especially in the field of e-government to help each employee in doing their duties and responsibilities. In carrying out the responsibility as a government agency especially that is involving or related to the field of information technology may sometimes encounter problem. To find out the extent of information technology management in the XYZ institution, an audit is required. An audit, in the form of COBIT 5 framework within the DSS Domain, was carried out to oversee the work as well as infrastructure management within the information technology area in the XYZ institution. The result of the audit conclude that the within the DSS domain the organization reached level 2 which means task are being done but not yet managed by the organization. There are rooms for improvement by establishing the process through standard operation procedures (SOP).
Penerapan Metode Simple Additive Weighting (SAW) pada Sistem Informasi Pemilihan Asisten Praktikum

Each campus has technology that is used to communicate and exchange information using technology in the form of a website. The use of the website itself has penetrated into the world of education, one of which is the laboratory on campus. Laboratory on campus cannot be separated from the existence of a practicum assistant. Every semester the faculty of informatics opens registration for practicum assistants, but there are obstacles that candidates who register still use the manual method in their selection. So they need the Simple Additive Weighting (SAW) method. This study uses the Simple Additive Learning method which will increase the highest score level of 1.39 with the weight indicator used in the selection of practicum assistants and get an average score of 4.9 out of 5.0 so that it is very effective for admins (laborers) to manage and lecturers, to see recommendations for prospective practicum assistants, the best are web-based
An Overview of Sentiment Analysis with Dialectical Processing

Sentiment analysis (SA) is one of the most emerging field of study in natural language processing (NLP) domain that primarily focuses on the opinion extortion of people’s lingual and penned articulation. Considerable number of studies about sentiment analysis over Arabic language are probed to label its polarity into positive or negative since this becomes very common dialect to Arabian internet users to depict their views. The prime understanding of this systematic review over Arabic sentiment analysis gives an insight about the classic, modern and colloquial flavors of its high morphological richness. Potential documents were filtered from different data sources published from 2015 to 2020 as well relevant 10 research articles were analyzed carefully and findings were captured based on the questionnaires framed with methods used for data selection and approached algorithms. The key finding is that 89% of the analyzed sample resulted in positive outcomes. Positively research papers that originated from the Kingdom of Saudi Arabia has contributed to the above said achievement. In this aspect, this study is an initiative to demonstrate and detail the progressive advancement made in Arabic NLP based SA processing, eventually this work can suffice as an essential reference especially a clear insight about the polarity of the Arabic words used in the social media conversation to researchers of natural language processing domain.
An Empirical Study on the English Classroom Interaction Model from the Perspective of Dynamic Systems Theory

Dynamic Systems Theory (DST) has provided a new perspective for SLA studies but it is rarely applied in empirical researches of classroom interactions. Under the framework of DST, this paper explores the current situation and analyzes the problems of classroom interaction of non-English majors’ college English through questionnaire, interview and class observation. Based on the findings, this paper proposes some teaching strategies to create a dynamically harmonious class and enrich the empirical studies of DST.
Analisis Strategi Bersaing Merek Mie Instan Menggunakan Teknik Markov Chain Dan Game Theory (Studi Kasus Mie I Vs Mie S)

The Markov chain hypothesis is the hypothesis discussed in stochastic interactions, and has several applications. This strategy is always coordinated with future situations whose whereabouts cannot be known with certainty, so the community tries to carry out exercises with future directions full of vulnerabilities. Hypotheses are numerical ways of dealing with competitive planning situations and the struggles between different interests. This hypothesis is designed to examine the dynamic cycle of various serious states and includes at least two interests. In this situation, the information obtained from the voting results is then assessed for its legitimacy and quality by using the SPSS program. The consequence of counting with Markov chain's S Noodle items reduces the share of the entire industry by 5.8%, while the fun noodle items expands a portion of the entire industry by 41%, the side effect of the game hypothesis being specific. namely X1 with probability 0.5, X2 with probability 0.5 and X3 with probability 3.16. Meanwhile, to limit misfortune, Indomie consolidates three systems, namely Y1 with likelihood - 0.1, Y2 with likelihood 0.5 and Y3 with likelihood 1.
Smart Automation: Machine Learning Enabled Workflow for Logic and DRAM

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Do Vary of English Shows Good For the Children during Stay at Home?: A Library research

Children can naturally acquire languages easily and quickly even without formal teaching from teachers. English shows provided the children new knowledges and updates without leaving the comfort of their homes due to lock down. This study was designed to analyse the use of English shows to build the children’s English developmental for learning English as foreign language, including discussion of its advantages and weaknesses. Library research and qualitative method were used to explain the findings. The data collection was documented from 3 working papers, 25 journal articles and 4 renowned books related to the topics. The analysis reveals that the children were able to retell the shows scenes, characters, topics, stories, opinions and they can pronounce English words alike as the natives do. From English shows, the children can learn some positives values and habit from the characters. The weaknesses of this strategy is control means that parents must spare time to accompany their children while watching the shows which may boring and tiring them. The other weakness is cultural shock. The English shows were mostly created by American and European whom have different basic cultures from Indonesian, therefore parents must ready to explain some scenes which are unfamiliar to ours. Lastly, watching English shows from television and YouTube also considered as more expensive instead of learning from classroom since it still need payment, subscription, fast internet connection, gadget and electricity.&#x0D;
Pengaruh Efektivitas Sistem Informasi Akuntansi, Budaya Organisasi Dan Kesesuaian Tugas Pada Kinerja Karyawan di AHASS Area Kartasura

The purpose of this research was to determine the effect of the effectiveness of the application of accounting information systems (AIS), organizational culture and task suitability on employee performance in Ahass Kartasura area. This research was conducted in all Ahass in the Kartasura District area. The population in this research are employees who use information technology. Determination of the sample in this study using a saturated sampling method which is carried out on all Ahass in Kartasura District. Total population and samples obtained were 30 employees. This study uses multiple linear regression analysis techniques. The results of this study indicate that the effectiveness of the implementation of AIS, organizational culture and task suitability have a positive effect on employee performance. This indicates that the higher the effectiveness of the implementation of AIS, organizational culture and task suitability, the higher the employee performance at Ahass in Kartasura District.&#x0D; &#x0D; Keywords: Effectiveness of AIS Application, Organizational Culture, Suitability of Tasks, Employee Performance.
EFEKTIVITAS OPAC SEBAGAI SARANA TEMU KEMBALI INFORMASI DI UPT PERPUSTAKAAN UNIVERSITAS MUHAMMADIYAH MAGELANG (UNIMMA)

Evaluation of information retrieval tool is very important to find out how far the retrieval system has worked. This study evaluates the OPAC of Muhammadiyah University of Magelang (UNIMMA) by determining the effectiveness of the information retrieval system seen from the relevance of the data displayed with the data requested by the user. This is descriptive quantitative research that calculates the value of recall and precision, while the data collection is conducted through literature studies and documentation. Based on the data collected, it can be concluded that OPAC UNIMMA is in the effective category with a high level of precision, and in the value range of 0.68 - 1.00 with recall and precision values respectively 0.77 or 77% and 0.84 or 84%. However, from the observations on each class number, it is found that the class number has a higher recall value than the precision, ie: the class numbers of 200, 800, and 900.
Penerapan Metode Simple Additive Weighting Dalam Pemberian Dana Bantuan Pemerintah Kota Pada Lingkungan XI Daerah Kwala Bekala

City government assistance given by the government to the wrong people often occurs, the aid distributor only gives to the closest relatives, not people who really need it, social inequality occurs. The uneven distribution of basic needs is due to the government's inaccuracy in collecting data on underprivileged citizens and residents who have been laid off and closing access to trade when the Covid-19 pandemic has made the community's economy slump drastically. From this problem, a decision support system is needed to help aid distributors select people who are entitled to be given assistance with the Simple Additive Weighting (SAW) method approach and the results of this decision will be obtained from 1-15 candidates who really deserve to get city government assistance and reduce fraud in providing assistance during the Covid-19 Pandemic.
Explicit motion planning in digital projective product spaces

We introduce digital projective product spaces based on Davis' projective product spaces.We determine an upper bound for the digital LS-category of digital projective product spaces.In addition, we obtain an upper bound for the digital topological complexity of these spaces through an explicit motion planning construction, which shows digital perspective validity of results given by S. Fi ̇şekci and L. Vandembroucq.We apply our outcomes on specific spaces in order to be more clear.
Analysis of the Community Satisfaction Index (IKM) on the Quality of Library Services at the University of Dehasen Bengkulu

The purpose of this study was to examine the quality of service at the Dehasen University Bengkulu library. The method used in analyzing the research data after the data is tabulated is a quantitative descriptive method using community satisfaction index analysis. The results of this study indicate that the services provided by the library staff at Dehasen University of Bengkulu are running well, with an index of 3.201 with a service quality of 80.025 in category B namely the performance of the service unit is good. Although there are 2 indicators that are below the 3.044 interval so that it still has to improve the quakity of it’s service.
Static Checking of Array Index Out-of-Bounds Defects in C Programs Based on Taint Analysis

During the rapid development of mobile computing, IoT, cloud computing, artificial intelligence, etc., many new programming languages and compilers are emerging.Nevertheless, C/C++ is still one of the most popular languages, and the array is one of the most important data structures of the C language.It is necessary to check whether the index is within the boundary of the array when it is used to access the elements of an array in a program.Otherwise, array index out-of-bounds will happen unexpectedly.When array index out-of-bounds defects are in programs, some serious errors may occur during execution, such as system crash.It is even worse that array index out-of-bounds defects open the doors for attackers to take control of the server and execute arbitrary malicious code by carefully constructing input and intercepting the control flow of the programs.Existing static methods for array boundary checking cannot achieve high accuracy and deal with complex constraints and expressions, leading to massive false positives.In addition, it will increase the burden of developers.In this study, a static checking method is proposed based on taint analysis.First, a flow-sensitive, context-sensitive, and on-demand pointer analysis is proposed to analyze the range of array length.Then, an on-demand taint analysis is performed for all array indixes and array length expressions.Finally, rules are defined for checking array index out-of-bounds defects and the checking is realized based on backward data flow analysis.During the analysis, in light of complex constraints and expressions, it is proposed to check the satisfiability of the conditions by invoking the constraint solver.If none statement for avoiding array index out-of-bounds is found in the program, an array index out-of-bound warning will be reported.An automatic static analysis tool, Carraybound, has been implemented, and the experimental results show that Carraybound can work effectively and efficiently.
Online Based Thesis Guidance Application For Informatics Students During Pandemic

&lt;p&gt;The Ministry of Education and Culture (Kemendikbud) issued Circular Letter Number 15 of 2020 concerning Guidelines for Organizing Learning from Home in an Emergency for the Spread of Covid-19. This causes the learning process that should be done face-to-face, being changed to online. Students must study from home and carry out the online thesis guidance process. Some of the difficulties experienced by students during direct mentoring, namely the difficulty of meeting lecturers who are busy teaching or doing assignments from institutions, besides that students who come from outside the city have to go back and forth just to meet the supervisor.. One of the ways to solve this problem is by applying technology. Currently there is web technology that can be used to easily develop applications, namely the concept of a framework approach. With the existence of an online-based application which is the role of current technological developments, it will make the thesis guidance process carried out by lecturers and students more flexible. Students are able to carry out the guidance process anywhere and anytime.&lt;/p&gt;
Selective region enlargement network for fast object detection in high resolution images

Detecting objects of varied sizes in high resolution images is difficult due to the challenges of high memory requirement and huge computation burden. Existing state-of-the-art detectors perform well on low resolution images. However, its performance is greatly limited on high resolution images. In this paper, we propose a selective region enlargement network, called SRENet, which significantly reduces processing time and memory requirement while remaining high detection accuracy. The proposed SRENet does not need to conduct detection on original high resolution images but only needs to conduct detection on down-sampled images and some zoom-in regions selected from high resolution images. SRENet first conducts coarse detection on a low resolution image, and then sequentially selects promising regions that are expected to be analyzed at a higher resolution. Specifically, SRENet is built upon Deep Q-learning Network (DQN) and it outputs an action-reward map. The value of the reward map indicates the possibility that the action can improve detection accuracy. The region selected by the action with the maximum reward value will be analyzed further at a higher resolution. Extensive experiments are conducted to demonstrate SRENet on two challenging datasets obtaining high resolution images. Experimental results show that SRENet achieves state-of-the-art detection performance with high efficiency.
Boosting Variational Inference With Locally Adaptive Step-Sizes

Variational Inference makes a trade-off between the capacity of the variational family and the tractability of finding an approximate posterior distribution. Instead, Boosting Variational Inference allows practitioners to obtain increasingly good posterior approximations by spending more compute. The main obstacle to widespread adoption of Boosting Variational Inference is the amount of resources necessary to improve over a strong Variational Inference baseline. In our work, we trace this limitation back to the global curvature of the KL-divergence. We characterize how the global curvature impacts time and memory consumption, address the problem with the notion of local curvature, and provide a novel approximate backtracking algorithm for estimating local curvature. We give new theoretical convergence rates for our algorithms and provide experimental validation on synthetic and real-world datasets.
Media Pembelajaran Interaktif Matematika Berbasis Flash Pada Siswa Kelas 1 MI NW Liqaul Amal

The purpose of this study is to facilitate teaching and learning activities, so that it can improve students' understanding of the mathematics material presented by the teacher and can be used as a medium to increase interest and interest in the learning process. Learning media plays an important role in teaching and learning activities so that the teaching and learning process becomes effective and easy to apply, but in reality in the world of education learning media is often not paid attention to because of limited time to make teaching preparation and it is difficult to find the right media. At MI NW Liqaul Amal still using manual learning media using books, writing and other teaching aids as student learning tools, learning media like this still cannot increase student interest, especially in mathematics lessons. One of the learning methods used to overcome these problems is to create interactive learning media in mathematics subjects. This learning media starts with a needs analysis process that will be used in making flash-based interactive learning media and making concepts or designs according to the results of the analysis. The results to be achieved in making interactive learning media on mathematics subjects are that students can understand the material and increase student interest in learning, so that the teaching and learning process becomes more effective
Audit Performance Measurement Accurate Menggunakan ITIL Version 3 pada Domain Service Operation

The Accurate system in a company as data bookkeeping aims to increase the effectiveness and efficiency of the data recording process, the performance of the Accurate system to avoid losing company data. The method used in this research is IT-IL Version 3 Domain Service Operation, this study usesÂ SWOT analysis within the company and it can be concluded that the value of all the factors can be specified for each item Strength: 2.32, Weakness: 0.71, Opportunity: 2 , 14, and Threat: 0.64. So it is known that the Strenght value above the Weakness value is the difference (+) 1.64 while the difference between the Opportunity and Threat values is 1.5. This research shows that the maturity level is at level 3 (Defined) with an average of 3,4. This shows that the resulting standard process is feasible..
Indonesian Sentence Boundary Detection using Deep Learning Approaches

Detecting the sentence boundary is one of the crucial pre-processing steps in natural language processing. It can define the boundary of a sentence since the border between a sentence, and another sentence might be ambiguous. Because there are multiple separators and dynamic sentence patterns, using a full stop at the end of a sentence is sometimes inappropriate. This research uses a deep learning approach to split each sentence from an Indonesian news document. Hence, there is no need to define any handcrafted features or rules. In Part of Speech Tagging and Named Entity Recognition, we use sequence labeling to determine sentence boundaries. Two labels will be used, namely O as a non-boundary token and E as the last token marker in the sentence. To do this, we used the Bi-LSTM approach, which has been widely used in sequence labeling. We have proved that our approach works for Indonesian text using pre-trained embedding in Indonesian, as in previous studies. This study achieved an F1-Score value of 98.49 percent. When compared to previous studies, the achieved performance represents a significant increase in outcomes..
Perpaduan Algoritma Kriptografi Atbash dan Autokey Cipher dalam Mengamankan Data

Data security is an important thing that must be done in the cyber era. The use of various kinds of digital technology in helping various human activities needs to be balanced with adequate data security. One of the ways that can be used in securing data is through cryptography. Atbash cipher is one of the cryptographic techniques used in securing data. However, this algorithm has a weakness because it only uses the process of reversing the position of the characters to be secured. This study proposes a cryptographic model that can maximize data security from the atbash cipher. The proposed model is a combination of the atbash cipher with the autokey cipher. The tests carried out on the proposed model have a 100% success rate, meaning that the encrypted message resulting from the proposed encryption process has been successfully restored to its original form through the proposed decryption process. The results of this study indicate that the atbash cipher cryptographic algorithm, combined with the autokey cipher algorithm can produce an encrypted message that is more difficult to crack.