Reviewerly/exHarmony huggingface dataset:
Considerations on efficient lexical analysis in the context of compiler design

Each programming language needs a mechanism of translating source code into code understood by the computer, i.e., machine code or assembly. This is done by a compiler. A compiler is thus a fundamental tool for software development. Lexical analysis, as the first step of compilation, has an important role and should be performed in an optimal way. But not only compilers rely on lexical analysis. Its role lies nowadays also in pattern recognition or natural language processing. In this paper, we present some of the main aspects of lexical analysis and how to efficiently perform it. Our aim is to offer some guidelines in constructing a modern and efficient scanner (lexer), outlining the criteria, which should be considered, presenting some pitfalls, and comparing existent tools for compiler construction. The main contribution of the paper is to offer practical guidelines and recommendations, especially to graduate students and programmers, in constructing an efficient scanner (lexer), considering also the proper tools currently available.
Prediction of Sleep Disorders Based on Occupation and Lifestyle: Performance Comparison of Decision Tree, Random Forest, and Naïve Bayes Classifier

Health is a very important thing in life. Therefore, to maintain health, we need adequate rest. Without adequate rest, the body will not be healthy and fit. In this study, a person's sleep disorder prediction will be made based on their lifestyle and work. The predictions made will classify sleep disorders that are absent, sleep apnea and insomnia from certain lifestyles and work. The methods used to make predictions are decision tree classifier, random forest classifier and naïve Bayes classifier. The test was carried out using a total of 375 data which was broken down into 70% training data and 30% testing data. The results obtained after testing with test data are by using the decision tree classifier algorithm to get an accuracy of 89.431%, using the random forest classifier algorithm to get an accuracy of 90.244% and by using the naïve Bayes classifier algorithm to get an accuracy of 86.992%.
The Topical Theme Depicted in the Talks of Education in Indonesian’s TEDx

The education-related TEDx presentations delivered by Indonesian speakers are a distinct linguistic phenomenon. It is a language in use where the message is communicated entirely through spoken speech as opposed to speaking itself. In light of systemic functional linguistics (SFL), this study examines the management of topical theme in relation to the message organisation of TE in TEDx. The aim of this study was to pinpoint and define the message's current theme in the TEDx format. Using the documentation method, the information was gleaned from an official TEDx broadcaster online. Two methods of analysis have been used: detailed text fragmentation and transcription. Following the analysis, the findings were presented and their theoretical SFL-based interpretation was given. This study shows that the phrasal and clausal forms of language, which are the constructional units of language, have taken on the topical theme in TE of TEDx. Phrasal constructs can be categorised into four different categories: noun phrase (NP), verb phrase (VP), adjective phrase (AP), and prepositional phrase (PP). The topical theme has also been functionalized as a component of other themes and the chain for coherence. This study recommended more examination of the organisation of the other component of the message. To ensure that the entire description of the thematic structure of TE in TEDx is respected, the combinatory analysis of theme and rheme will be essential.
Blockchain-based Distributed Financial Trust Evaluation System and Operation Mechanism

The functioning of the present-day financial system relies on the movement of funds and information. DeFi (Decentralized Finance), utilising blockchain technology, possesses the capability to establish autonomous and trustworthy smart contracts that do not require the involvement of intermediaries for escrow and auditing purposes. This results in the creation of a financial system that is characterised by its openness and transparency, devoid of any form of identity-based discrimination, and accessible to all individuals. The utilisation of a private blockchain system facilitates enhanced efficiency, while concurrently ensuring the attainment of privacy and security objectives. Moreover, such a system aligns more closely with prevailing regulatory standards. The Coalition Chain has the characteristic of a scale-free network, with its nodes following a power law distribution. This work aims to investigate credit governance from the standpoint of group behaviour and provide optimisation solutions accordingly.
Students’ Perceptions of Using Digital Product in English Class Activities at SMAN 3 Pekanbaru

Digital products is a learning media, when learning at home become one of choice learning now. The aim of this study at investigiting students' perceptions of using digital products in learning at SMAN3 Pekanbaru. This study was a survey research conducted from March to April 2021 in grade 11. The questionnaire was used as the main instrument for collecting data. Data analysis was performed by categorizing student responses to each questionnaire question into graphs. The data was analyzed based on the responded "strongly agree", "agree", "neutral", "disagree", and "strongly disagree." After that, the number of students who gave responses was converted into percent units and entered into a graph. The findings in research show that the students' perceptions of using digital products in terms of "Convenience" are at the highest level with a total of 37.3% followed by "Academic reason" 34.4%, "Teaching and Learning Benefit" 31.8%, "Social Networking" 30.5%, " E-learning Perceptions "30.1%," Social Influence "27.9%," Ease of Use "27.9%, and" Bariers "13.9%. In conclusion, the use of digital products for learning resources can facilitate students in the learning process.
ANALYSIS OF FKIP UNSIKA WEBSITE BASED ON HUMAN AND COMPUTER INTERACTION PRINCIPLES

The website of the Fakultas Keguruan dan Ilmu Pendidikan Unsika functions as a platform for FKIP Unsika students to access information related to lectures. The purpose of analyzing the FKIP Unsika Website is to understand the relationship between system functions based on the principles and paradigms of Human and Computer Interaction (HCI). In analyzing the Website interface design, the author uses a heuristic evaluation method that evaluates human, technological, usability, and ergonomic aspects. The data used in this research was obtained through distributing questionnaires to respondents who have experience in designing and creating websites, and have a background in informatics. The results show that the rules in the heuristic evaluation method used, such as Visibility of system status, Match between the system and the real world, User control and freedom, Consistency and standards, Recognition rather than recall, and Flexibility and efficiency of use, have not been fully met because there are still problems that need to be fixed.
The Effect of Collaborative Strategic Reading (CSR) and Critical Reading on Students’ Reading Comprehension

Abstract:&#x0D; Eka Dewi Fithrotunnisa, Eneng Liah Khoiriyah, Dede Imtihanudin., The Collaborative Strategic Reading (CSR) and Critical Reading on Students’ Reading Comprehension (A Quasi-experimental Research in the Second Grade Students of Private Junior High School; MTs Muhammadiyah I Ciputat, SMP Darussalam and SMP Islamiyah Ciputat). &#x0D; This research was aimed at proving empirically the effect of collaborative strategic reading (CSR) and critical reading on students’ reading comprehension at the second grade of Private Junior High School in Ciputat. The quantitative method with quasi-experimental design was undertaken to analyze the effect of CSR and critical reading on students’ reading comprehension. The population in this research was all students of three of Private Junior High School in Ciputat in academic year 2022/2023 consisted of 8 classes in which each class had about 20-25 students. Because of time limitation, the target population was grade 8 students. In MTs Muhammadiyah 1 Ciputat is only consisted of 3 classes, SMP Darussalam Ciputat is consisted of 3 classes and SMP Islamiyah is consisted 2 classes. Meanwhile, the samples of this research were two classes of each school at second grade students; one class as experimental class comprised of 20 students, and the other as control class comprised of 20 students as well. These samples were determined by using intake sampling technique because the samples taken were the classes that already existed in that school. It aimed to not interfere the teaching and learning process and procedures that had been established in that school. Reading comprehension data was obtained through multiple choice test. Meanwhile, the data of critical reading was gained through the Essay Test. The results of this study revealed that: (1) there was an effect of Collaborative Strategic Reading on Students’ Reading Comprehension, (2) there was an effect of Critical Reading toward students’ reading comprehension, and (3) there were interactions between CSR and critical reading toward students’ reading comprehension.&#x0D; Keywords: Collaborative Strategic Reading (CSR), Critical Reading, Reading Comprehension&#x0D;
Analisis Sentimen Opini Masyarakat Terhadap Pelayanan BPJS Kesehatan Provinsi Lampung Berbasis Twitter

Nowadays, the internet has increased the amount of information stored and accessed through the web at a very fast speed. The internet can be a place to express opinions on health topics, politics, companies, and others. Many social media are used by the people of Lampung in expressing opinions and seeking information. Twitter is one of the communication media that is in great demand by the public. There are various kinds of topics discussed by Twitter users, one of the topics that are currently being discussed is the Lampung Health Social Security Administration Agency (BPJS). Health is also a very important thing and is still a conversation that is often discussed anywhere and anytime. BPJS Health helps the community in overcoming a declining economy, with BPJS Health, the community does not have to pay for medical expenses. Therefore, the service from BPJS Kesehatan Lampung will be carried out by sentiment analysis so that it can be known whether the public opinion about BPJS Kesehatan Lampung is positive or negative. This study uses the Naïve Bayes algorithm. This sentiment uses a dataset from Twitter which uses several keywords regarding BPJS Kesehatan Lampung. Based on the research results, it is known that the Naïve Bayes algorithm has an accuracy value of 89,33%.
Research on Mining Talent Demand for E-commerce Majors based on LDA Topic Model

[Purpose] Based on the text mining method, this study analyzes the job demand for domestic e-commerce industry positions in the Internet-oriented recruitment data, promotes the matching of e-commerce positions and talents, and promotes the good construction of the employment environment in the domestic e-commerce industry.[Method] Use the LDA(Latent dirichlet allocation) topic model for job competency requirements to calculate the similarity of the word segmentation results for professional talent requirements, determine the optimal number of topics, and output the visualization results of the LDA topic model.[Conclusion] In eastern China, there is a high demand for e-commerce jobs, and the majority of these positions only call for 1-3 years of experience. The basic requirement for the majority of jobs is a college degree. The Director of Operations and Director of Network Operations focus on e-commerce operations and management, the Network Promotion Specialist focuses on e-commerce advertising and product promotion, the Data Analyst and Market Analyst focus on data analysis and market research, and the Sales Representative focuses on sales. There is a correlation between the salary of the positions and education, experience and region; the higher the education, the more experience and the higher the level of regional development, the higher the salary level.
Zero-Knowledge Functional Elementary Databases

Zero-knowledge elementary databases (ZK-EDBs) enable a prover to commit a database D of key-value (x, v) pairs and later provide a convincing answer to the query “send me the value D(x) associated with x” without revealing any extra knowledge (including the size of D). After its introduction, several works extended it to allow more expressive queries, but the expressiveness achieved so far is still limited: only a relatively simple queries–range queries over the keys and values– can be handled by known constructions. In this paper we introduce a new notion called zero knowledge functional elementary databases (ZK-FEDBs), which allows the most general functional queries. Roughly speaking, for any Boolean circuit f, ZK-FEDBs allows the ZK-EDB prover to provide convincing answers to the queries of the form “send me all records (x, v) in D satisfying $$f(x,v)=1$$ ,” without revealing any extra knowledge (including the size of D). We present a construction of ZK-FEDBs in the random oracle model and generic group model, whose proof size is only linear in the length of record and the size of query circuit, and is independent of the size of input database D. Our technical contribution is two-fold. Firstly, we introduce a new variant of zero-knowledge sets (ZKS) which supports combined operations on sets, and present a concrete construction that is based on groups with unknown order. Secondly, we develop a transformation that transforms the query of Boolean circuit into a query of combined operations on related sets, which may be of independent interest.
Encryption of Information on Brain Tumor Images Using Vigenere Cipher Algorithm and Least Significant Bits

Cryptography is a branch of existing methods in mathematics which has the goal of being able to maintain the confidentiality of the information contained in the data so that the information is not known by parties who have no interest. Confidentiality of this information is important so that the information sent is not misused irresponsibly. Vigenere Cipher is a method used for cryptography. Vigenere Cipher works by using a tabula recta table where the table contains an alphabet arranged based on the Caesar Cipher shift. In this study, the Vigenere Chiper algorithm will be used to encrypt information into 25 brain tumor images. In the tests carried out on 25 images, the best MSE obtained was 1.541e-05, while the best PSNR was 48.1219, for the best SSIM it was 0.99995, then for the BER value, all images obtained a BER value of 0 and also for the entropy of the best steganography image, which was 6.8204.
GENDER POLICIES AND WOMEN’S EMPOWERMENT IN NIGERIA: AN ANALYTICAL REVIEW OF PROGRESS AND BARRIERS

This scholarly exploration delves into the intricate tapestry of gender policies and women's empowerment in Nigeria, a nation grappling with the complexities of gender dynamics against a backdrop of cultural, economic, and political influences. The study's purpose was to critically analyze and evaluate the progress and barriers in implementing gender policies, with a keen focus on understanding their dynamics, challenges, and societal impacts. The study synthesized a wide array of literature through a methodical approach, encompassing empirical research, policy analyses, and theoretical discourses. This comprehensive review illuminated the multifaceted nature of gender inequality in Nigeria, revealing insights into income disparities, the undervaluation of women's unpaid care work, and the socio-cultural and political barriers impeding gender equality. The main findings underscore a pronounced gender inequality across various sectors, highlighting the significant yet often marginalized contributions of women, particularly in the agricultural sector and in unpaid domestic roles. The study revealed that while there have been strides in policy formulation, a chasm remains in effective implementation, with socio-cultural norms and lack of political will posing as formidable barriers. The study advocates for a holistic and multifaceted approach to gender policy enhancement in Nigeria. It calls for the establishment of quantifiable benchmarks for policy evaluation, the dismantling of patriarchal structures, and the promotion of educational and economic empowerment for women. The study emphasizes the necessity of inclusive, culturally sensitive, and impactful policies, urging collaborative efforts among various stakeholders for sustainable gender parity and empowerment.&#x0D; Keywords: Gender Policies, Women's Empowerment, Nigeria, Socio-Cultural Barriers, Policy Implementation.
The Future of Quantum Computer Advantage

As technological innovations in computers begin to advance past their limit (Moore’s law), a new problem arises: What computational device would emerge after the classical supercomputers reach their physical limitations? At this moment in time, quantum computers are at their starting stage and there are already some strengths and advantages when compared with modern, classical computers. In its testing period, there are a variety of ways to create a quantum computer by processes such as the trapped-ion and the spin-dot methods. Nowadays, there are many drawbacks with quantum computers such as issues with decoherence and scalability, but many of these issues are easily emended. Nevertheless, the benefits of quantum computers at the moment outweigh the potential drawbacks. These benefits include its use of many properties of quantum mechanics such as quantum superposition, entanglement, and parallelism. Using these basic properties of quantum mechanics, quantum computers are capable of achieving faster computational times for certain problems such as finding prime factors of an integer by using Shor’s algorithm. From the advantages such as faster computing times in certain situations and higher computing powers than classical computers, quantum computers have a high probability to be the future of computing after classical computers hit their peak.
On the (Im)possibility of Time-Lock Puzzles in the Quantum Random Oracle Model

Time-lock puzzles wrap a solution $$\textrm{s}$$ inside a puzzle $$\textrm{P}$$ in such a way that “solving” $$\textrm{P}$$ to find $$\textrm{s}$$ requires significantly more time than generating the pair $$(\textrm{s},\textrm{P})$$ , even if the adversary has access to parallel computing; hence it can be thought of as sending a message $$\textrm{s}$$ to the future. It is known [Mahmoody, Moran, Vadhan, Crypto’11] that when the source of hardness is only a random oracle, then any puzzle generator with n queries can be (efficiently) broken by an adversary in O(n) rounds of queries to the oracle. In this work, we revisit time-lock puzzles in a quantum world by allowing the parties to use quantum computing and, in particular, access the random oracle in quantum superposition. An interesting setting is when the puzzle generator is efficient and classical, while the solver (who might be an entity developed in the future) is quantum-powered and is supposed to need a long sequential time to succeed. We prove that in this setting there is no construction of time-lock puzzles solely from quantum (accessible) random oracles. In particular, for any n-query classical puzzle generator, our attack only asks O(n) (also classical) queries to the random oracle, even though it does indeed run in quantum polynomial time if the honest puzzle solver needs quantum computing. Assuming perfect completeness, we also show how to make the above attack run in exactly n rounds while asking a total of $$m\cdot n$$ queries where m is the query complexity of the puzzle solver. This is indeed tight in the round complexity, as we also prove that a classical puzzle scheme of Mahmoody et al. is also secure against quantum solvers who ask $$n-1$$ rounds of queries. In fact, even for the fully classical case, our attack quantitatively improves the total queries of the attack of Mahmoody et al. for the case of perfect completeness from $$O(mn \log n)$$ to mn. Finally, assuming perfect completeness, we present an attack in the “dual” setting in which the puzzle generator is quantum while the solver is classical. We then ask whether one can extend our classical-query attack to the fully quantum setting, in which both the puzzle generator and the solver could be quantum. We show a barrier for proving such results unconditionally. In particular, we show that if the folklore simulation conjecture, first formally stated by Aaronson and Ambainis [arXiv’2009] is false, then there is indeed a time-lock puzzle in the quantum random oracle model that cannot be broken by classical adversaries. This result improves the previous barrier of Austrin et. al [Crypto’22] about key agreements (that can have interactions in both directions) to time-lock puzzles (that only include unidirectional communication).
PENDAMPINGAN PENERAPAN TEKNOLOGI SMART FISH FARM BUDIDAYA IKAN KOI PADA DINATA KOI FARM BADUNG

Dinata Koi Farm is a Koi fish cultivation business that has been started since 2018. The Koi fish cultivation business is carried out starting from breeding, sorting, growing and marketing Koi fish. The demand for Koi fish orders by customers is not proportional to the amount of production produced. The problem is that many fish die due to poor water quality, thereby reducing the number of Koi fish produced for market. Koi fish are very sensitive to increases in temperature and pH levels of pond water. Dinata Koi Farm has a problem, namely that it cannot continuously monitor the temperature and pH levels of the water, so sometimes handling the pond water quality becomes slow and the Koi fish die. Based on the problems faced by partners, the service team helped develop smart fish farming technology that can monitor Koi pond water quality in real time and automatically handle it if there is an increase in the temperature and pH levels of the pond water. . The approach methods that will be used in this activity include individual approaches and training. The components evaluated in this activity are the application of smart fish farm technology and increasing partners' knowledge in the use of information technology, especially smart fish farms.