Reviewerly/exHarmony huggingface dataset:
Innovation in security: a proposal for access control with dual authentication through facial recognition and radiofrequency

Property security represents a set of activities and preventive actions aimed at reducing potential losses in organisations. In this context, electric locks that support different authentication methods, such as passwords, digital keys with security tokens, and radio frequency identification (RFID) tags, offer improvements in access control; however, they represent a single barrier of protection. In this article, we propose FaceTag, a prototype with dual authentication via facial recognition and RFID, which has been integrated into an electronic lock to support future access control in educational institutions. To validate our proposal, we implemented a prototype and evaluated its operation in different scenarios. FaceTag proved to be effective and stable in testbed experiments, capable of providing a high degree of accuracy for access control in the desired environment.
PERANCANGAN MOCK UP SISTEM INFORMASI MANAJEMEN DESA BERBASIS WEBSITE (STUDI DI DESA MEKARMUKTI KECAMATAN CISAGA KABUPATEN CIAMIS JAWA BARAT)

Mekarmukti Village is located in Cisaga District, Ciamis Regency, West Java, Indonesia. The village is famous for its natural beauty and cultural heritage, as well as its agricultural practices. The village is surrounded by lush green forests and hills, making it a popular destination for tourists looking to explore the natural beauty of West Java. One issue that often arises in the Mekarmukti Village community that is the focus of attention is the lack of clarity of information conveyed to residents, causing them to repeatedly seek information. The village government has difficulty collecting family data due to various reasons and the busyness faced by residents, hampering the performance of the village government. From the above problems, the purpose of study is designing a Website-based Information System that is used to facilitate the Mekarmukti Village community in getting or obtaining the latest information from the Village Government. In addition to making it easier to get information, this information system also provides information related to tourist info and tourist maps, as well as financial transparency of Mekarmukti Village.
Geochemical and geochronological studies of the Um Samiuki deposit (Eastern Desert, Egypt): Metal mobilization in a stratabound massive sulfide ore

The Um Samiuki deposit in the South Eastern Desert of Egypt is a Kuroko-type volcanogenic massive sulfide deposit associated with arc-related bimodal volcanic rocks. SIMS U-Pb zircon ages of the host metavolcanic rocks and a crosscutting granodiorite intrusion are integrated with a newly obtained Re-Os age for the Um Samiuki sulfides, allowing the genetic relationship between sulfide mineralization and host rocks to be determined. Zircon U-Pb dating reveals that the ore-hosted stratum of banded tuffs formed at ∼700.0 ± 7.3 Ma, whereas the granodiorite yielded a concordia age of 624.0±8.5 Ma. Sulfide mineral separates (pyrite, sphalerite, chalcopyrite) and sulfide mixtures from the massive ores have significantly high radiogenic Re-Os concentrations and ratios. Regression of seven 187Re/188Os-187Os/188Os data points with the corresponding uncertainty correlation values yields a 624±46 Ma age (2σ, MSWD = 0.56), with an initial 187Os/188Os ratio of 3.58±0.7, thereby pinpointing a distinctive crustal isotope signature. Evolution towards textural equilibrium by recrystallization, as revealed by grain growth and annealing textures in the ores, suggests that ductile shearing and penetrative deformation of the host metavolcanic/metavolcaniclastic rocks led to the formation of discrete sulfide disseminations and masses. Deformed, rolled and rotated pyrites in veins and tension gashes with or without quartz evidently suggests an intermittently rejuvenated brittle deformation regime superimposed on the early ductile deformation textures. Pyrite, galena, chalcopyrite, and sphalerite contain elevated Ag contents between 5 and 812 ppm. Two pyrite generations can be distinguished with the earlier one (Py1) having the highest Ag contents of all sulfides. Silver was released during replacement of Py1 by a late assemblage (Py2-galena-chalcopyrite-sphalerite) with some Ag incorporated into the late sulfides but most Ag was released and retained in discrete Ag minerals like cerveilleite, hessite and acanthite. Time-resolved analyses of LA-ICP-MS data reveal the presence of micron-scale Ag-bearing inclusions in galena while other base metal sulfides also contribute a notable part to the Ag budget of Um Samiuki ore. The new geochronological data integrated with results of the microscopic and microanalytical analyses of the sulfide ores provide an updated insight into a metal mobilization event in the Um Samiuki volcanogenic massive sulfides, roughly bracketed with shear-associated granodiorite magmatism.
On the enumeration of signatures of XOR-CNF's

Given a CNF formula $\varphi$ with clauses $C_1, \dots, C_m$ over a set of variables $V$, a truth assignment $\mathbf{a} : V \to \{0, 1\}$ generates a binary sequence $\sigma_\varphi(\mathbf{a})=(C_1(\mathbf{a}), \ldots, C_m(\mathbf{a}))$, called a signature of $\varphi$, where $C_i(\mathbf{a})=1$ if clause $C_i$ evaluates to 1 under assignment $\mathbf{a}$, and $C_i(\mathbf{a})=0$ otherwise. Signatures and their associated generation problems have given rise to new yet promising research questions in algorithmic enumeration. In a recent paper, B\'erczi et al. interestingly proved that generating signatures of a CNF is tractable despite the fact that verifying a solution is hard. They also showed the hardness of finding maximal signatures of an arbitrary CNF due to the intractability of satisfiability in general. Their contribution leaves open the problem of efficiently generating maximal signatures for tractable classes of CNFs, i.e., those for which satisfiability can be solved in polynomial time. Stepping into that direction, we completely characterize the complexity of generating all, minimal, and maximal signatures for XOR-CNFs.
College students' perceptions toward usability of simulator application as a form of virtual experiment at the distance learning

The use of simulator applications as one of the learning media is used in face-to-face classes. Its use is rarely used to support distance learning. In fact, the distance learning process must have the same quality as face-to-face learning. The role of technology and media is one of the keys to success in conveying material to students. This study examines the use of simulator applications in distance learning in terms of its reusability. The simulator application used is Cisco Package Tracer on learning computer networks with modules as the main teaching material used by students. The use of this media aims to understand and practice computer network simulations. By involving 60 participants, a case study regarding usability feasibility was measured by using the USE Questionnaire which consisted of 4 usability dimensions: Usefulness, Ease of Use, Ease of Learning, and Satisfaction. The findings show that the use of simulator applications in distance learning gets good or positive responses in the context of usability. This shows that the use of simulator applications is suitable for use in distance learning.
Twitter Data Sentimen Analysis 2024 Presidential Candidate Using Algorithm Naïve Bayes Classifier By Methods K-Fold Cross Validation

Indonesia implements a democratic system by involving the public in General Elections (Pemilu) for specific political positions. The active community expresses opinions on social media, especially regarding the 2024 Presidential Election (Pilpres) and respective presidential candidates, which have become trending topics on Twitter. The analysis used to absorb these tweets into information is sentimen analysis using the Naïve Bayes Classifier algorithm with the K-fold Cross-Validation method. Through the stages of pre-processing, weighting, labeling, classification using NBC, and testing using a Confusion Matrix, The results of the classification from NBC showed that Anies got 80% positive tweets and 20% negative tweets from 1186 tweets, Prabowo Subianto got 78% positive tweets and 22% negative tweets from 1149 tweets, and Ganjar Pranowo got 77% positive tweets and 23% negative tweets from 1075 tweets. Testing process was carried out using the NBC algorithm with the K-Fold Cross Validation method using values k=1 to k=10. The function of K-Fold Cross Validation is to maximize the confusion matrix result. It can be conclude that Anies Baswedan has the highest score in iteration 4, namely a precision value of 90%, a recall value of 99%, and the accurary value of 91%. Furthemore, Ganjar Pranowo had the highest score in iteration 9, namely a precision value of 95%,a recall value of 97%, and an accuracy value of 92%. Meanwhile, Prabowo Subianto had the highest score in iteration 9, namely a precision value of 97%, a recall value of 99%, and an accuracy value of 94%.
Sentiment Analysis about Anti-LGBT Campaign using the Naïve Bayes Classifier

Social media is growing so that the news that is discussed is also very fast to be known by everyone. The news or topic that is being discussed on social media is the anti-LGBT campaign. The conversation about the anti-LGBT campaign is expressed in the form of opinions that contain positive and negative feelings. The opinion is conveyed through Twitter. Twitter is a microblogging social media that allows users to create short messages and share them easily and quickly. Opinions on Twitter are used to see whether the opinion rejects or supports the anti-LGBT campaign. The use of sentiment analysis helps to see the opinion supports or rejects the anti-LGBT campaign. The algorithm used to perform sentiment analysis is the Naïve Bayes Classifier. The purpose of this study is to determine the sentiment analysis of anti-LGBT campaign tweets on Twitter. In this study using Google Colaboratory tools. The dataset used is 3103 tweets with 80% training data and 20% test data. The sentiment analysis results obtained in this study show taht Twitter users in Indonesia give more positive opinions. The use of the Naïve Bayes Classifier algorithm produces an accuracy of 68,75%, precision of 99,6%, and recall of 92,8%.
E-invoicing: A Catalyst for Digitalization and Sustainability

Abstract Background and Purpose Digitalization brings a wide range of opportunities for both digital and sustainable transformation. One of the first steps on this journey is the digitization of business documents and digitalization of business processes. The European Commission has recognised the advantages of digitalization, particularly in the context of e-invoicing, which can contribute significantly to economic prosperity and align with public policy goals such as deficit reduction and sustainable development. Despite the successful adoption of e-invoicing in the public sector, the uptake of e-invoicing in business-to-business (B2B) transactions is surprisingly low. This research focuses on Slovenia, a small European country that imple-mented e-invoicing as mandatory between enterprises and the public sector in 2015. Methods To investigate e-invoicing adoption in the wider population, we designed an online survey, which was conducted among 284 organizations in Slovenia. The collected data were analyzed using SPSS 28 software. One sample t-test was used to evaluate the importance of identified advantages, barriers and incentives for e-invoicing usage. Further, we ran an inde-pendent sample t-test to identify statistically important differences in the importance of ad-vantages, barriers, and incentives between organizations with lower and higher levels of e-invoicing usage. Results The results showed that organizations recognize the benefits of e-invoicing well and perceive them as important. The most important barriers to e-invoicing adoption are related to the business environment, unawareness and lack of knowledge about how to implement e-invoicing. Desired incentives for wider e-invoicing adoption are related to easier and lower costs of technical implementation, provided training and education, including best practices, as well as the availability of government grants and other support measures on the state level, including legislation, public directory of business entities using electronic document exchange and service providers. Conclusion The paper provides important information for decision-makers and public ad-min-istrations to take appropriate measures and incentives to further support wider adoption of e-invoicing and exchange of other e-documents to exploit opportunities of digitalization better.
The Relationship between Academic Demands, Academic Resources, Academic Emotions, and Classroom Attention Difficulties: A Focus on the Daily Diary Method

The purpose of this study was to examine the relationship between academic demands, academic resources, academic emotions, and classroom attention difficulties at both the within-individual and between-individual levels. The study involved 179 elementary school students in the 5th and 6th grades who participated in a repeated-measures survey over a 10-day period. Mplus 8.0 was used to test model fit and mediation effects. The research model, which included a direct path from academic demands and resources to classroom attention difficulties, was compared with a competing model that excluded the direct path, and the research model provided a better fit to the data. At the within-individual level, the experience of boredom fully mediated the relationship between daily academic demands and classroom attention difficulties. At the between-individual level, academic resources and academic demands led to classroom attention difficulties only through learning-related boredom. The findings suggest that it is important to consider intra-individual variability when identifying emotional or behavioral problems in an academic context, and that addressing classroom boredom, along with environmental factors such as academic demands and resources, is necessary to mitigate attention difficulties in elementary school students.
Desain Pembangkit Listrik Tenaga Surya Off-Grid dan Monitoring Berbasis Node-Red

In new renewable energy, the abundant potential of solar energy in Indonesia needs to be utilized effectively, especially in vocational canteens for the purposes of lights and fans. This research aims to design and build an off-grid solar power generation system and Node-Red-based monitoring at the Canteen. The research method used is experimentation through direct observation at the vocational canteen. The tests carried out are the system of SPGS which includes voltage, current, and power and testing monitoring by system sensors and temperature sensors for 5 hours per day in two days. The results obtained are the voltage in the system both panel voltage, AC voltage, and battery voltage are stable and do not exceed the specifications of solar panels. However, the current has increased and decreased although not too drastically and the battery has only decreased by 10%. This is due to the influence of the weather during testing and is not affected by the load power because it does not exceed specifications. In addition, the system sensor has an error of no more than 2% so it can be said that if this system functions optimally and as expected, it can be developed more to save energy.
Intelligence, Economic Development, and the Fiscal Dynamics of Migration

This paper explores critical dimensions of economic development by drawing insights from three scholarly works: "National Intelligence and Economic Growth: A Bayesian Update," "The Case for Colonialism" by Bruce Gilley (2017), and Joakim Ruist's (2019) study on "The Fiscal Lifetime Cost of Receiving Refugees." By examining the nuanced connections between intelligence, economic growth, colonial legacies, and refugee integration from an economics perspective, we aim to unravel the intricate relationships that underpin global socio-economic dynamics.
Application of The Simplex Method and Digital Literacy in Profit Optimization Problems Taufik Tempe

Resource allocation in the production process are important things that need to be considered to achieve optimal production levels. Production optimization problems are still an obstacle for most businesses operating in the food sector. One of them is the “Taufik Tempe” business which produces tempeh in three different sizes, namely large, medium, and small. The business owner finds it difficult to determine the amount of production according to market demand and minimize production costs for maximum profits. This research aims to solve the profit optimization problem of “Taufik Tempe” with appropriate production allocation to achieve maximum profits. The method used is the method of data collection and data analysis. Data collection methods include field studies (observations and interviews) and literature review. Meanwhile, data analysis uses the simplex method and uses MATLAB software. Data analysis techniques using observation and interviews. Meanwhile, the research results show that the maximum profit per month obtained is Rp 750.000,00 by focusing on producing only large-sized tempeh. Furthermore, by using MATLAB software the same results are obtained as using the simplex method but with a simple, effective and efficient algorithm, ofcourse with precise results and the use of this software aims to avoid calculation errors.
DIGITAL TECHNOLOGY AND ITS CAPABILITIES IN THE HIGHER EDUCATION SYSTEM

Modern education has its own requirements, among which the most important are the widespread use of digital technologies and artificial intelligence in the higher education system andtraining in accordance with the requirements of the time. The article provides information and information about the history, reasons, opportunities and consequences of the introduction of digital technologies into the higher education system.
Correction: Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users (Preprint)

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HISTORY OF THE ORIGIN AND DEVELOPMENT OF SOME TEXT ANALYSIS SYSTEMS

The paper examines the history of the emergence and development of some systems for automated text analysis in Russian in the laboratory of the St. Petersburg Economic and Mathematical Institute of the Russian Academy of Sciences. From the beginning of the 90s to the present, the team has persistently tried to increase the degree of automation and accuracy of the resulting text analysis results. The emergence of the semantic dictionary of V. A. Tuzov played a huge role in improving the quality of text analysis and allowed many systems to become a serious tool for sociologists and economists. The development and replenishment of the semantic dictionary (the number of words has almost doubled during this time) made it possible to achieve quite significant success at the linguistic level. The semantic-syntactic analyzer (parser) SemSin developed by us is quite consistent with the modern level and can serve as a starting point for further development
Pengelolaan Informasi dan Dokumentasi Sebagai Basis Pemenuhan Keterbukaan Informasi Publik

Achieving transparent public information access services requires good information management and documentation. For this reason, it is necessary to study the role of information and documentation management officials in supporting the realization of public information openness. This research uses a qualitative approach by applying interview, observation and documentation methods. The results of this research show that to realize openness of public information, information and documentation management officials at UINJ carry out the role of coordinating, documenting information, verifying information, testing consequences, updating information, and providing information to the public. To support the achievement of these roles, PPID UINJ refers to standard operating procedures and implementation of evaluations. However, the results of this research also show that the implementation of public information has not been optimal due to barriers to mindset regarding openness of public information and technical obstacles. Theoretically, the results of this research show that success in realizing public information openness is not only through fulfilling the indicators of the role of officials but also through changing the mindset of stakeholders and supporting work units in the work environment as a whole
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE TEAM GAMES TOURNAMENT (TGT) TERHADAP HASIL BELAJAR SISWA MATERI KALOR SMA NEGERI 1 ANGKOLA TIMUR

This study aims to determine the improvement of student physics learning outcomes in caloric material by using cooperative learning model TGT type. The population in this study are all students of class X in SMAN 1 Angkola Timur which amounts to 95 students. So the sample research used is the total sample. The research method used was quasi experiment with two pretest-posttest design studies. Researcher determine which become experiment class in this research is class X1 and control class in this research is class X3. Technique of collecting data using observation and test. While the data analysis using t-test. Based on the calculation, cooperative learning model type TGT meteri calor obtained an average value of 87.5% is in the category of "Very Good". The result of learning of caloric matter before using TGT type co-operative model got average value 60 is in "Enough" category, whereas learning result calor after using TGT type co-operative model obtained average. Value 80 is in the "Very Good" category. Through the calculation result at 95% confidence level or error rate 5% with degrees of freedom (dk) = 31. tcount&gt; ttable (10.12&gt;1.70). So it can be concluded that by using cooperative learning model type TGT can improve student learning outcomes calor with the category "Very Good".
A study on the autobiographical verse of Donggye Jo Gwi-myeong

This paper analyzes the autobiographical aspects revealed in the poetry of Dong-seok Jo Yeong-myeong(1692-1737). Although Jo Gwi- myeong focused on prose, the 27 poems and 6 chapters he left behind contain indispensable thoughts. Jo Gwi-myeong’s thoughts revealed in verse are more internal and implicit in that they are expressed in the language of poetry rather than the language of prose.&#x0D; Among his works, his most important works can be said to be 〈次際卿述懷韻〉 and 〈幽懷賦〉, which are based on the theme of his own life and thoughts. 〈次際卿述懷韻〉 presented five themes and recited his life and thoughts. 〈Yuhoebu〉 is a work that describes the process of internally resolving the conflict caused by the pain of illness. The prose writer Jo Gwi-myeong is familiar, but the poetic language written by Jo Gwi-myeong is also unfamiliar to Jo Gwi-myeong researchers. Although these two works are very important materials for understanding Jo Gwi-myeong, they have not been covered so far. This paper first examines the formal characteristics of Jo Gwi-myeong’s verse, and then analyzes 〈次際卿述懷韻〉 and 〈幽懷賦〉 to examine how Jo Gwi-myeong’s life and thoughts were expressed in his verse. The analysis of Jo Gwi-myeong’s verse seeks to provide clues to a coherent understanding of Jo Gwi-myeong’s inner conflicts and contradictions.