Reviewerly/exHarmony huggingface dataset:
Faktor-Faktor Penghambat Penyelesaian Tugas Akhir Skripsi (Studi Kasus Pada Mahasiswa Akuntansi Angkatan 2018 UPN “Veteran” Jawa Timur)

The thesis final project is a scientific work that must be made by final-year students to obtain an academic degree. But in reality, there are still many students who need help in doing the final thesis. This study aims to see and test how psychological well-being, academic ability, thesis administration system, and lecturer guidance influence the completion of the final thesis assignment for accounting students class of 2018 UPN "Veteran" Jawa Timur. The population in this study numbered 222 accounting students class of the 2018 UPN "Veteran" Jawa Timur who was working on or had completed their final thesis assignment. The sampling technique used is technique purposive sampling. This research uses quantitative methods. The analytical method used isPartial Least Square (PLS) with the help of software WrapPLS 7.0. The results showed that psychological well-being and lecturer guidance had no effect on completing the thesis's final assignment. In contrast, academic ability and thesis administration system affect the completion of the thesis final assignment.
on Decidability of Existence of Fortified Supervisors Against Covert Actuator Attackers

This work investigates the existence of fortified supervisors against covert actuator attackers. For a supervisor <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$S$</tex-math></inline-formula> that is non-resilient against covert actuator attackers, a fortified supervisor <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$S^{\prime }$</tex-math></inline-formula> satisfies two requirements: 1) <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$S^{\prime }$</tex-math></inline-formula> is resilient against any covert actuator attacker, and 2) the original closed-behavior of the closed-loop system under <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$S$</tex-math></inline-formula> is preserved. We design a sound and complete procedure to show the problem of determining the existence of a fortified supervisor against covert actuator attackers is decidable. The decidability result is also extended to the case against the worst-case attacker.
Penggunaan Metode AHP dalam pemilihan Jenis Promosi Kampus Berdasarkan Lokasi Sekolah

Basically promotion is carried out to introduce goods or services to the consumer community so that they feel interested and interested in buying or using the products and services offered. As for the campus, promotion is carried out not only to introduce the campus environment, but also to maintain its existence in society. The problems encountered related to campus promotion include determining the type of campus promotion based on the area or school location which is still carried out randomly, so it is difficult to determine the right type of promotion based on the location of the promotion objective. The purpose of this research is to determine what type of campus promotion is best in each region based on the location of the school using the Analytical Hierarchy Process (AHP) calculation method. The results of this study indicate that the selection of criteria consists of two types, namely the criteria for school location and type of promotion and based on the results of campus management decisions and student historical data. The calculation results show that the average results for each area of ​​social media and partnership presentations are the highest with a value of 60%, and for visits to schools by 20%, and for the use of billboards by 20%.
Semantic-Guided Multi-feature Fusion for Accurate Video Captioning

In recent years, pre-trained visual language models (PVLMs) have achieved superior performance in many downstream tasks by extracting comprehensive cross-modal relevance from billions of pieces of data. Video captioning is a typical topic that aims to generate semantic texts from video clips, which also benefits from the advances in PVLMs. However, existing PVLMs only extract holistic features from still images, neglecting the local and temporal changes in the video appearance, which impedes fine-grained video understanding. Drawing on this, we propose to add explicit spatio-temporal semantics to the existing video captioning system by wrapping the detected salient objects over sampled frames, reflecting thematic events within a video. In particular, an auxiliary detection branch is designed to collaborate with PVLMs, achieving fine-grained object awareness. To achieve efficient temporal aggregation, we further employ the Gated Recurrent Unit (GRU) to extract temporally ordered cues, compensating for the limited temporal appearance capacity of PVLMs. The experimental results obtained on several benchmark datasets demonstrate the effectiveness of the proposed solution, with superior performance compared to the state-of-the-art approaches.
THE EFFECT OF BALL GAME ON THE STUDENTS' ENGLISH VOCABULARY MASTERY AT SECOND GRADE OF SMPN 7 KERINCI

This research aimed to see the effect of Ball Game on students' English vocabulary mastery. Therefore, the researcher used a quantitative method with an experimental research design to obtain the research objectives. There were 2 classes that participated in this research. It consisted of VIII D as control class VIII B as the experiment class. each class consisted of 26 students, so the sample total are 52 students. to collect the data, 25 multiple questions were used to test the students. the finding showed Ball game significantly affects students’ English vocabulary at SMPN 7 Kerinci. It was proved by the vocabulary test value of the post-test between the classes. The post-test result showed the differences in the result achieved by the tough control class without using Ball game with the experimental class which was tough by using Ball game. The means score becomes one of proof of this statement. Based on the mean score, it was found that the control class have 60.77 and the standard deviation was 10.24. Meanwhile, the experimental class was 64.61 and the standard deviation was 12.96. besides The result of t-test showed that tobs= 1,26 &gt; ttable= 1,93. The researcher proposed several recommendations to gain better improvements.
Pengaruh Model Pembelajaran Snowball Throwing Terhadap Motivasi Belajar Pendidikan Agama Kristen Dan Budi Pekerti Siswa Kelas VIII SMP Negeri 1 Sipoholon Tahun Pembelajaran 2023/2024

The aim of this research is to determine the difference in learning motivation of students who are taught using the snowball throwing learning model and those who are not taught using the Snowball Throwing learning model at SMP Negeri 1 Sipoholon for the 2023/2024 academic year. The method used in this research is a quantitative research method with a pre-experimental design research type in the form of a one-group-pretest-posttest design. The population was all class VIII students at SMP Negeri 1 Sipoholon, totaling 188 people and the researchers determined a sample of 32 people using a purposive sampling technique. Data was collected using a positive closed questionnaire with 27 items. Research data for the questionnaire was analyzed using the related sample formula. From the calculation results, the tcount value = -29.052&lt;ttable 2.039 with a 2-party test (α/2=0.05/2=0.025)= 2.039. The tcount value is in the curve area of ​​rejection of H0 and acceptance of H1. Thus, it can be concluded that the research hypothesis is accepted, namely that there is a difference in the learning motivation of students who are taught using the snowball throwing learning model and those who are not taught using the Snowball Throwing learning model at SMP Negeri 1 Sipoholon for the 2023/2024 academic year. The difference in learning motivation for Christian Religious Education and Characteristics of Class VIII Students at SMP Negeri 1 Sipoholon for the 2023/2024 Academic Year can be seen from the average scores of X1 = 77.0 and X2 = 88.3.
IMPROVING ORGANIZATIONAL LEARNING IN A SELF-LEARNING ORGANIZATION

The article examines current problems of transformation of modern models of additional professional education and advanced training of personnel in the paradigm of digitalization and digital transformation processes. The features of new educational models for the development of innovative knowledge, abilities, skills and competencies by staff of self-learning organizations are revealed.
The Homunculus in the Metaverse: Is Virtual Reality Prepared for Our SevenSenses?

Abstract Sensing in the physical world differs from sensing in virtual worlds. As visualized in Penfield’s homunculus, touch and taste play a big role in physical surroundings. In contrast, the “Homunculus Metaversensis” for virtual reality would look different, reflecting the dominance of visual and auditory perception in virtual experiences facilitated by technologies like head-mounted displays. To create truly immersive experiences, touch, balance, movement, smell and taste are all relevant. While some progress has been made in haptic feedback and olfactory stimulation, advancement in these fields is still limited. Therefore, augmented reality, which combines physical and digital experiences, may be a more viable option for satisfying multiple senses in the present. However, future breakthroughs in virtual reality technology could enhance sensory experiences in the metaverse.
Augmented Reality Application in Digital Automation Laboratory

Traditional automation engineering education using physical training equipment while quite effective, suffers from several limitations in the case there is no equipment access, which can be due to many reasons such as social distancing or financial difficulties. This article proposes a solution to overcome these limitations with the combinational use of mixed reality (MR), which helps the student get used to training equipment they have no access to, and augmented reality (AR), which brings intuitive visualization into real equipment practice.
Corpus Analysis with spaCy

This lesson demonstrates how to use the Python library spaCy for analysis of large collections of texts. This lesson details the process of using spaCy to enrich a corpus via lemmatization, part-of-speech tagging, dependency parsing, and named entity recognition. Readers will learn how the linguistic annotations produced by spaCy can be analyzed to help researchers explore meaningful trends in language patterns across a set of texts.
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search

Modern cloud services aim to find the middle ground between quality of service and operational cost efficiency by allocating resources if and only if these resources are needed by the customers. Unfortunately, most industrial demand-driven resource allocation approaches are reactive. Given that scaling mechanisms are not instantaneous, the reactive policy may introduce delays to latency-sensitive customer workloads and waste operational costs for cloud service providers. To solve this catch-22, we define the proactive resource allocation policy for Microsoft Azure Cognitive Search. In addition to the current resource demand, the proactive policy takes the typical resource usage patterns into account. We gained the following valuable insights from these patterns over several months of production workloads. One, 87% of the workload is stable due to continuous resource demand. Two, 90% of varying demand is predictable based on a few weeks of historical traces. Three, resources can be reclaimed 52% of the time due to extensive idle intervals of varying workload. Given the size and scope of our analysis, we believe that our approach applies to any latency-sensitive cloud service.
Maximizing Profit for Cloud Brokers in The Era of Cloud Computing

Abstract: Cloud computing has experienced significant growth in recent years, with an increasing number of applications migrating to the cloud, where they can centrally manage a wide range of resources, including hardware and software. These resources are delivered over the internet as services, catering to customer demands. One of the key features of cloud computing is the pay-as-you-go model. However, due to the one-hour billing cycle and the discount structure favoring long-term users, many customers end up paying more than their actual usage. To address this issue, cloud brokers rent reserved Virtual Machines (VMs) from cloud providers at a reduced cost and offer them to users on an on-demand basis at a more affordable rate than what the cloud providers offer. Moreover, cloud brokers operate on a shorter billing cycle compared to cloud providers. This study focuses on configuring a cloud broker and determining the optimal pricing for its VMs to maximize its profits. Most cloud providers offer two primary payment options for their instances: On-Demand and Reserved Instances. With On-Demand instances, users pay for compute capacity per hour, making them suitable for short-term workloads. Reserved Instances provide significant discounts but require users to commit to long rental periods, disadvantaging short-term customers. The introduction of the cloud broker serves as a novel intermediary between cloud providers and cloud users, addressing the issues of both onehour billing cycles and the limitations on discounts for short-term users. This manuscript begins by introducing a multi-server queuing model, a revenue model, and a cost model, followed by a comprehensive analysis of the factors affecting them. It defines an optimization problem aiming to determine the optimal configuration for multi-server setups and VM pricing, all aimed at profit maximization. To address this optimization problem, a heuristic method is proposed, which combines partial derivatives and a bisection search. This method offers a practical approach to finding the optimal VM price and system scale, ultimately maximizing profit. This manuscript explores the critical role of cloud brokers in the cloud computing landscape and presents a comprehensive approach to optimizing their operations, ultimately benefitting both cloud providers and users.
The Function of Fables for Early Children’s Character Education

The formation of children’s character can be applied to several learning media, such as through literary works which can functionally be used as educational and entertainment media. The aim is to shape the child’s personality and direct the child’s intellectual potential. One of the works of children’s literature is a fable that tells about animals that personify human character. In this article the author uses qualitative research methods, data collection is carried out by looking for several secondary data sources. The results of this research show that an estimated 80 percent of character education has not been touched by early childhood. Starting from children’s education, young children need to receive character education since the child reaches an early age. The urgency of education for early childhood can be seen from several characteristics. To stimulate character formation in early childhood, appropriate media is needed, one of which is fables. This is because children will more easily absorb the character learning process through entertaining illustrations. In character education for early childhood, fables can function as a mechanical approach strategy. In this approach, every young child must be given a good view of moral and ethical values through story stimulation contained in the fable.
Hybrid Design of Pseudo Random Number Generator Using Shift Register FPGA and CMOS VLSI

The proliferation of digital systems in various applications necessitates the development of efficient pseudo-random number generators (PRNGs) for cryptographic and data processing purposes. In this study, we present a novel approach to PRNG design, leveraging a hybrid combination of Shift Register Field-Programmable Gate Arrays (FPGA) and Complementary Metal-Oxide-Semiconductor (CMOS) Very Large-Scale Integration (VLSI) technology. This hybrid design capitalizes on the strengths of both FPGA and CMOS VLSI to achieve enhanced performance and versatility. The FPGA-based component of the PRNG system offers configurability and parallelism, allowing for rapid and customizable PRNG generation. The CMOS VLSI component, on the other hand, ensures low power consumption and compact integration, ideal for embedded applications. By combining these two technologies, the PRNG achieves a delicate balance between flexibility and efficiency. We evaluate the hybrid PRNG design through rigorous testing and analysis, including statistical tests, spectral tests, and computational performance assessments. Our results demonstrate that the hybrid PRNG outperforms standalone FPGA or CMOS-based PRNGs in terms of randomness, uniformity, and speed, making it suitable for a wide range of applications in cryptography, secure communications, and data processing. The hybrid PRNG design presented in this study not only contributes to the advancement of PRNG technology but also offers a versatile solution for engineers and researchers seeking to tailor their PRNG systems to specific application requirements while optimizing performance and energy efficiency.
It is Time to Introduce the Next Generation of Chemists to FAIR and Open Science

Early career scientists are confronted with increasing expectations in sharing scholarly data openly and fair by funding agencies. This manuscript is an appeal to introduce open data management strategies to graduate students in atmospheric chemistry.
THE INFLUENCE OF LEARNING FACILITIES AND IMPLEMENTATION OF E-LEARNING ON INTEREST IN LEARNING HISTORY IN THE COVID-19 PANDEMI TIME FOR STUDENTS IN CLASS XI IPS SMA PANGUDI LUHUR ST. LOUIS IX SEDAYU ACADEMIC YEAR 2021/2022

This study aims to determine: (1) How good the learning facilities at home are to the interest in learning history of students in class XI Social Sciences at SMA Pangudi Luhur St. Louis IX Sedayu in the subject of history for the academic year 2021/2022; (2) How well is the application of e-learning to the interest in learning history of students in class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022; (3) How high is the interest in learning history of students in class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022; (4) The large influence of learning facilities at home on the interest in learning history of students in class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022; (5) The influence of the application of e-learning on the interest in learning history of students in class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022; (6) The influence of learning facilities at home and the application of e-learning on the interest in learning history of students in class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022.&#x0D; This study uses a survey method, with a quantitative approach. The population in this study was taken from 20% of the total population, as many as 12 students of class XI IPS SMA Pangudi Luhur St. Louis IX Sedayu for the academic year 2021/2022, with an error rate of 5%, and has been tested for validity and reliability. The analysis prerequisite tests in this study were the normality test, linearity test, multicollinearity test, and heteroscedasticity test. The analysis technique used is Product Moment Correlation analysis technique, multiple linear analysis, t test and f test.&#x0D; The results showed that: (1) The level of learning facilities at home was 85% included in the very good category; (2) The level of application of e-learning is 79% which is included in the good category; (3) The level of interest in learning history is 89% included in the very good category; (4) There is a positive, very strong and significant effect on the 5% error level between home learning facilities on interest in learning history of 0.986; (5) There is a positive, very strong and significant effect on the 5% error level between the application of e-learning to interest in learning history of 0.928; (6) There is a positive, very strong and significant effect at the 5% error level between home learning facilities and the application of e-learning with an interest in learning history of 0.987.
THE COMPARATIVE ANALYSIS OF THE PROGRAMMING LANGUAGES BASED ON THE TEST DATA SORTING TASK

The purpose of the study is to compare the efficiency of popular programming languages using the time characteristics of sorting algorithms as an example. Sorting algorithms were chosen due to the high frequency of their use as auxiliary algorithms in solving various problems, for example, in the implementation of binary search. Since sorting algorithms are labor-intensive, the speed of their implementation, in turn, is critical for evaluating the effectiveness of many projects, as well as when evaluating the choice of one or another programming language. The present article is a comparison in the time characteristics of the implementation of common sorting algorithms in various high-level programming languages. The results of the experimental study allow drawing conclusions about the expediency of using certain programming languages in the problems of sorting implementation, depending on the existing time constraints. The running time of sorts in most programming languages is highly dependent on the way the problem is solved, and different ways may be more efficient in different languages, and some solutions that seem very effective at first glance can lead to an unexpected slowdown of the program. At the same time, the Lisp and Lua programming languages optimize the code qualitatively and allow achieving the maximum speed.
Correlating Decision Theory with Cyber Threat Intelligence: Novel Perspectives

An organization, with the help of cyber threat intelligence framework, can protect itself from the cyber threats. The stakeholder cyber safety is paramount and such intelligence frameworks help leveraging the business value of its intellectual properties. Events related to securing the cyber aspects of an organization are possible by connecting it with essential features of decision theory. Few assumptions are made pertaining to descriptive, prescriptive and normative decision theory which help in identification of cyber weakness and security loopholes of an organization. This study extracts novel viewpoints from the strongholds of decision theoretical models and propagates decisions on how to face the cyber-attacks.
LACK OF READING HABITS AND VOCABULARY AMONG FRESHMEN AFFECTS ACADEMIC PERFOMANCE

The main idea to publish this article is to recognize the importance of a lack of reading habits and vocabulary; as an essential aspect to having good communication, especially when people start to learn a new language, in this case, English as a second language. Herewith there are some of the reasons that lack of reading habits and vocabulary are affecting the student's academic perfomance. Thus, vocabulary learning verifies to play an important role in oral communication. Reading proficiency is the key to knowledge. In modern life, reading depends on the individual's capacity to interpret printed or electronic pages fully and accurately. The overall objective of this research was to examine how the lack of reading habits and vocabulary is affecting academic performance. The justification for this article is based on the identification of these main problems freshmen are facing, and how there issues are affecting the academic performance of students at the university level. Is importan to recognize the importance of the parents in the acquisition of good reading habits. And of course at the school level form part of the teachers, to promote good reading habits in order for students will not have difficulties in their academic performance.