Reviewerly/exHarmony huggingface dataset:
A Logistic Framework to Enable Takt Time Planning

Takt Time Planning (TTP) methodology has gained growing popularity in lean construction, with the aim of improving workflow and increasing production stability.Despite the numerous research efforts surrounding TTP, there is a gap in understanding how logistics planning should support TTP in a construction project.This study presents a framework for developing logistics in a construction project that uses TTP as its planning method.The framework consists of four drivers: (a) equipment sizing, (b) layout risk study and analysis, (c) material management, and (d) structuring of daily routes and routines.The results show that the integration of TTP into the logistics framework allowed for the design of the production system to ensure Takt, and to structure a rapid response to the variations found during the LPS control cycles.Hence, the project deadline was reduce by 16.4%, or 4 months.
MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA DENGAN MENGGUNAKAN MEDIA MISTAR BILANGAN PADA MATERI PENJUMLAHAN DAN PENGURANGAN BILANGAN BULAT

During elementary school age children who are experiencing developments in the level of thinking definitely need a stimulus to better understand a material, one of which is in learning mathematics. Understanding of mathematical concepts is one of the most important things in the learning process, especially in the matter of addition and subtraction of integers. The purpose of this study was to improve students' learning outcomes in mathematics by using number rule media in grade 4 elementary schools in Tasikmalaya. The research method used is Classroom Action Research, data collection is done through tests, observation, documentation, interviews. The subjects in this study were 12 male students and 11 female students. The results of this study stated that learning mathematics by using a number ruler media can improve student learning outcomes. Based on the results of the pre-cycle research, cycle I and cycle II, student learning completeness in the pre-cycle reached 17.39% and experienced an increase in cycle I by 26.31% to 65.21% then in cycle II it increased again by 30.44%. to 95.65%.
MENGATASI KEJENUHAN SISWA KELAS II SEKOLAH DASAR

Successful learning is marked by the enthusiasm and enthusiasm of students in participating in the learning process. Another factor that supports the learning process is a learning atmosphere that is not boring and activities that make students happy and do not feel bored in learning. Saturation of learning is a mental condition of a person when experiencing extreme boredom and fatigue resulting in a feeling of lethargy, lack of enthusiasm or enthusiasm for activities. This study uses a descriptive qualitative approach. To obtain data the researcher conducted interviews, observation, documentation. High learning saturation results in low motivation for achievement in students. The consequences that arise because students experience boredom in learning are decreased achievement scores in learning or have low achievement in learning, skipping class, undisciplined, reluctant to learn, passive in class, busy in class, often leaving class, unable to answer questions, not doing homework etc. Although it must be admitted, boredom can be experienced by anyone. Therefore individuals must get an understanding and explanation of the consequences of learning boredom experienced by students.
OPTIMIZATION OF MYSQL DATABASE

The performance of MySQL, a well-known open-source relational database management system used in a variety of sectors, including e-commerce, finance, and healthcare, can be improved through the use of physical programming and data tuning. While data tuning involves refining the database to increase efficiency, physical programming involves optimizing the physical storage of data. This article gives a general introduction of MySQL and its architecture, looks at the many methods and tools used in physical programming and data tuning, and talks about the advantages of these techniques and how they affect MySQL's performance. &#x0D;
ANALISIS METODE CIRC (COORPERATIVE INTEGRETED READING AND COMPOSITION) TERHADAP PENINGKATAN KEMAMPUAN MEMBACA PEMAHAMAN SISWA KELAS V SEKOLAH DASAR

This study aims to describe the reading comprehension skills of fifth grade students of SD Islam Harapan Ibu by using the CIRC method. This research used descriptive qualitative research design. This research uses observation, interview, and documentation as data accumulation methods. Data reduction, data presentation, and conclusion drawing are the data analysis approaches used. In this research that uses the CIRC (Cooperative Integrated Reading and Composition) method, it shows an increase in students' reading comprehension skills. This can be proven through the results of the LKPD work done in groups by students, as well as the ability of students to present the results of their discussions and the value of reading comprehension skills that increase. This CIRC method is very effective and very suitable for developing students' reading comprehension skills in Indonesian language lessons in grade V students of SD Islam Harapan Ibu.
ANALISIS KESULITAN MEMBACA PERMULAAN PADA SISWA KELAS II DI SEKOLAH DASAR

Reading is one aspect of language skills that students must have. Reading at the beginning level is an activity to learn to recognize written language and students are required to voice the symbols of language sounds. The purpose of this study was to analyze the form of difficulty and factors causing the difficulty of learning to read grade 2 elementary school students in Tasikmalaya Regency. The research method used is qualitative descriptive, data collection is carried out through student reading tests which are confirmed by observation and interview process. The sample in this study was 2 male students and 1 female student who had been given a reading test. The results of this study state that the form of difficulty and the factors causing the difficulty of learning to read each student are different. Based on the test results that students followed, the forms of reading learning difficulties experienced were: difficulty recognizing letters, distinguishing similar letter shapes, combining letters into words, and wrong pronunciation by replacing letters. The factors causing students' difficulty learning to read are divided into two factors, namely internal factors.
Mask Detection Using Image Processing

In early 2020, the epidemic of a new type of pneumonia led by Wuhan, Hubei shocked the world, and then spread rapidly to more than 190 countries and regions. This outbreak is named Coronavirus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of this disease has widespread social and economic impacts. Therefore, during the current COVID-19 pandemic, regulations are enacted in which everyone is required to wear a mask and perform physical distancing when leaving the house in Indonesia to reduce the spread of COVID-19. The purpose of this study is to be able to create a detect the use of masks using deep learning methods with Alex net network type. The results showed that the development masks can be applied at the entrance of a mall or hospital by installing a detection device in front of the entrance. It can also be seen the results of the detection on a computer that has been integrated with the detection system. This research is useful to make it easier for people to wear masks or not and detect it automatically without having to do it manually by officers.
A Study of Relationship between Motivation and Fear of Learning A Foreign Language

Motivation has a vital role for the learners in foreign language learning.On the other hand, foreign language learning fear has a huge impact on learners' motivation at any level.In this regard, motivation and fear are closely connected to learners' desire for learning foreign language.The purpose of this study is to explore perception of learners on their use of learning strategies.This research is a quantitative descriptive study using survey methods conducted online and the sample was obtained from public and private universities in Malaysia.Respondents are from various undergraduate courses in sciences and technology, social sciences and humanities, business and administration field of studies.The instrument of survey was divided into 5 main sections.About 212 students participated in this survey on motives and fear of learning foreign language.It was found that respondents' motivation to learn, communication apprehension, fear of negative evaluation and anxiety test varied from medium to high.The findings on the relationship showed that there is an association between motivation and fear of learning a foreign language.Correlation analysis shows that there is a low significant association between motivation and fear of learning a foreign language (r=.382**) and (p=.000).
Research Topic Trends In Information And Communication Technology Indexed Science And Technology Index (Sinta) 1 Year 2021 With The Zipf Approach

ABSTRACT This study aims to find out about the trend topics that are more often discussed in Information &amp; Communication Technology journals indexed by SINTA 1 in 2021 so that they can bring up the latest research subjects. The method used in this research is to use the bibliometric data analysis method based on the zipf rule. The results showed that there was the word "Learning" which was the highest word frequency, which was 317 times appearing with a percentage (3.8%) of the total 8246 words. Then followed by the word "Network" as much as 258 times (3.1%), then "Neural" is a word that appears 235 times or equivalent to (2.8%), the word "System" is also found 160 times, namely with a percentage (1.9%), followed by the word "Machine" 146 times appearing which is equivalent to (1.8%), then the word "Data" also appearing 135 times with a percentage (1.6%), appearing Also the word "Algorithm" is 127 times with a value (1.5%), the word "Image" appears 124 times with a percentage of (1.5%), the word "Energy" is also found 121 times appears with a value (1, 5%) and the top ten words ended with the word “Deep” which appeared 118 times with a percentage (1.4%). These words can be used as keywords in the research article being studied. The calculation above shows that the relevant subject index is greater with the relevant percentage of 62.5%, relevant marginal of 37.5% and irrelevant of 0 %. Keywords : Zipf rules, Bibliometrics, Journals, Articles, Words: Learning Tren Topik Penelitian Jurnal Teknologi Informasi Dan Komunikasi Terindeks Science And Technology Index (Sinta) 1 Tahun 2021 Dengan Pedekatan Dalil Zipf ABSTRAK Penelitian ini bertujuan untuk mengetahui permasalahan tentang tren topik-topik apa saja yang lebih sering dibahas dalam jurnal Teknologi Informasi dan Komunikasi yang terindeks SINTA 1 pada tahun 2021 sehingga bisa memunculkan subjek penelitian terbaru. Metode yang digunakan pada penelitian ini yaitu menggunakan metode analisis data bibliometrik dengan berdasarkan kaidah zipf. Hasil penelitian ini menunjukkan bahwa terdapat kata “Learning” merupakan frekuensi kata tertinggi yaitu sebanyak 317 kali muncul dengan jumlah persentase (3,8%). Maka dapat diambil kesimpulan bahwa kata tersebut dapat dijadikan sebagai kata kunci (Keyword) pada penelitian artikel yang sedang diteliti. Perhitungan diatas menunjukkan indeks subjek yang nilainya relevan lebih besar dengan jumlah persentase relevan sebesar 62.5%, persentase relevan marginal sebesar 37,5% dan jumlah persentase tidak relevan sebesar 0 %. Keywords: Kaidah Zipf, Bibliometrik, Jurnal, Artikel, Kata: Learning.
Application of Information Systems in Web-Based Bucket Sales

The purpose of this research is to see what is the important role of an information system on web-based bucket sales, which can benefit because it will be known by many people. That way the sales of buckets are getting more fans. We use qualitative methods to facilitate the process of analysing objects. The results of this study are that this system can facilitate sellers in marketing buckets so that sales can increase. The process of implementing an information system in selling buckets can be applied by creating a website. So, it can be concluded that information systems have an effect on website-based bucket sales, making it easier to order for buyers.
Designing "Meows .Co" Application as a Tool for Cat Lovers

Cats are one of the most common pets kept by humans. During a pandemic, keeping cats has many benefits for mental and physical health. The purpose of this research is to design a mobile-based application that functions as a tool for cat lovers who are still confused about how to take care of their cats, solutions to deal with the types of diseases or infections that can attack cats, and want to adopt cats. To support the research, the research method we use is descriptive, as well as in the application development process uses an object-oriented approach with System Development Life Cycle Waterfall. As a result, designing the Meows application makes it easier for cat lovers to find information using a digital platform that can be accessed through their respective smartphones. The concept of this application is to provide information to cat lovers about how to take good and correct care of their cats and features to share information about cats with other cat lovers. In the end, this application serves as a medium of information for cat lovers to get information more easily and help cat lovers with one another
Estimation of the solution of asymptotically observable linear completely regular differential-algebraic systems with delay

In the article, a problem of solution estimation for linear autonomous completely regular differential-algebraic systems with many commensurate delays is investigated. The class of completely regular differential-algebraic systems with delay under study includes the classes of linear systems of delayed and neutral types; in addition, the analysis of continuous-discrete systems is reduced to completely regular systems. For linear autonomous completely regular differential-algebraic systems with many commensurate delays, the property of asymptotic observability is determined, which are characterized by the fact that all solutions generating the same output signal are indistinguishable in the future. Conditions for asymptotic observability expressed in terms of the parameters of the original system are formulated and proved. For asymptotically observable systems, a solution estimation procedure is proposed, the implementation of which consists of the following steps. First, using the observed output, a linear autonomous non-homogeneous asymptotically observable retarded type system with a non-homogeneous part depending on the output is put in correspondence with the original system. The solution of the new system uniquely determines the solution of the original system. Then a transformation is constructed that reduces the matrices of the retarded type system to a certain form. After that, with the help of a finite chain of observers, the solution is evaluated. The results of the presented study are applicable to systems that do not have the property of final observability, which makes it possible to significantly reduce the requirements for observing organs when modeling the corresponding objects of the real world.
LCHAIN: A Secure Log Storage Mechanism using IPFS and Blockchain Technology

Data security is a very important and crucial part of Cloud storage. Day by day, thousands of operations function over the Cloud, verify logs generated from all transactions is very difficult. The attacker may temper or remove targeted logs or attack traces on the system with stealthy techniques. It is required to maintain the security of the log to trace back all the transactions to identify such tempering and loss of logs. Temper-proof log storage is a challenging issue on the Cloud. To overcome the issue, we propose strong and secure log storage using Blockchain technology and IPFS. Detecting log tempering and tracing is challenging due to large log volumes. We recommend the usage of Blockchain technology due to its inherent feature of immutability to address the issue of log tempering. We present LChain which provides immutable storage of logs with tracing. Blockchain technology helps yp create immutable logs but also offers non-repudiation and scalability. Smart contracts are used for efficient searching and enhancing computational power.
Financial Fraud Detection using Improved Artificial Humming Bird Algorithm with Modified Extreme Learning Machine

More and more industries, including the financial sector, are moving their operations online as internet usage continues to rise at an exponential rate. As a result, financial fraud is on the rise in all its guises and in all parts of the world, causing enormous economic damage. The purpose of financial fraud detection systems is to identify potential dangers, such as unauthorised access or unusual attacks. In recent years, this problem has been attacked using a variety of machine learning and data mining methods. Aalgorithms, on the other hand, are better able to deal with only a small quantity of labelled data and a large amount of unlabeled data, making them useful in situations where it would be impractical to rely solely on supervised learning algorithms to train a good-performing classifier. In this research, we propose a Semi-supervised Extreme Learning Machine (SKELM) built on top of the weighted kernel, which we call SELMWK. For the purpose of detecting financial fraud, this research proposes an enhanced artificial hummingbird algorithm (IAHA). The algorithm combines two essential techniques to enhance its capacity for optimisation. To begin, the Chebyshev chaotic map is used to seed the first population of artificial hummingbirds, which boosts the population's overall ability to do global searches. Second, the guided foraging phase incorporates the Levy flight to enlarge the search field and forestall early convergence. The experimental results demonstration that the suggested technique recovers the Internet monetary fraud detections.
A Review of Image Super Resolution using Deep Learning

The image processing methods collectively known as super-resolution have proven useful in creating high-quality images from a group of low-resolution photographic images. Single image super resolution (SISR) has been applied in a variety of fields. The paper offers an in-depth analysis of a few current picture super resolution works created in various domains. In order to comprehend the most current developments in the development of Image super resolution systems, these recent publications have been examined with particular emphasis paid to the domain for which these systems have been designed, image enhancement used or not, among other factors. To improve the accuracy of the image super resolution, a different deep learning techniques might be explored. In fact, greater research into the image super resolution in medical imaging is possible to improve the data's suitability for future analysis. In light of this, it can be said that there is a lot of scope for research in the field of medical imaging.
VERBAL MEMORY AS A PREDICTOR OF ORAL LANGUAGE ABILITY IN PRESCHOOL CHILDREN

This study aims to assess how much the predictive power of verbal short term memory has on language skills. Participants in this study involved 50 typical preschool children, with a range of ages four to six years. Each participant was assessed using the Test of Auditory Processing Skill (TAPS-3) and Developmental Profile (DP-3). Data analysis in this study used correlation tests and linear regression tests with JASP. The results showed that there was a significant relationship between verbal short term memory and language skills (r = 0.635; p &lt;0.001).
PENGEMBANGAN MEDIA PEMBELAJARAN KOMIK DIGITAL PADA MATA PELAJARAN BAHASA INGGRIS KELAS IX SMP

This study aims to develop digital comic media products for the English subject of class IX in junior high school, and to find out the process of developing learning media that is developed is feasible or not for use in the learning process by teachers and students. The type of research that is used in this research is research and development which is called by the terms iResearch and iDevelopment (R&amp;D) using the iASSURE model. Ipadi this model is i6 i development stage i.e. stage I Analyze Learner, stage Set Standards and Objectives I (State Standards and Objectives), Stage I Select Media, Materials and Supporting Technology I (Select Media, Material and Technology), Stage I use Media, Material and Technology I (Utilize Media, Material and Technology), stage of Developing Student Participation (Require learner Participation) and I stage I Evaluation and Revision I (Evalute And Revise). iI-ivalidity test was performed on i3 iperson i.e. i2 imedia ivalidator and i1 immaterial ivalidator. The practicality test was carried out on 26 respondents i.e. students of class IIX C iSMP iDevelopment UNP. The results of the assessment by the two imedia i-validators obtained an average score of i4.93 which was categorized as "very invalid". iThe results of the ivalidation of the assessment of the immaterial ivalidator obtained an average i4.73 i which was categorized as "very invalid", while the ipracticality test results of iproducts i by the students i obtained an average i4.77 i which was categorized i "very practical". Based on the results of the validity and practicality assessment, it can be concluded that the media products used are suitable for use in learning.