Reviewerly/exHarmony huggingface dataset:
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues

Reproducibility is one of the core dimensions that concur to deliver Trustworthy Artificial Intelligence. Broadly speaking, reproducibility can be defined as the possibility to reproduce the same or a similar experiment or method, thereby obtaining the same or similar results as the original scientists. It is an essential ingredient of the scientific method and crucial for gaining trust in relevant claims. A reproducibility crisis has been recently acknowledged by scientists and this seems to affect even more Artificial Intelligence and Machine Learning, due to the complexity of the models at the core of their recent successes. Notwithstanding the recent debate on Artificial Intelligence reproducibility, its practical implementation is still insufficient, also because many technical issues are overlooked. In this survey, we critically review the current literature on the topic and highlight the open issues. Our contribution is three-fold. We propose a concise terminological review of the terms coming into play. We collect and systematize existing recommendations for achieving reproducibility, putting forth the means to comply with them. We identify key elements often overlooked in modern Machine Learning and provide novel recommendations for them. We further specialize these for two critical application domains, namely the biomedical and physical artificial intelligence fields.
Yield Management Strategy in Increasing Room Occupancy in The New Normal Era

Purpose: The purpose of this study is to find out what are strategies in increasing the occupancy rate of the new normal era at The Westin Resort &amp; Spa Ubud, Bali and to determine the yield management strategy in increasing occupancy rates in the new normal era at The Westin Resort &amp; Spa Ubud, Bali.&#x0D; Research methods: The types of data used are qualitative and quantitative data. Data collection methods used in this study were observation, interviews, questionnaires, and literature study. The data analysis technique used is descriptive qualitative and quantitative methods. This study uses a marketing mix approach with a SWOT analysis using the 7P indicator.&#x0D; Results and discussion: Yield management strategies that can be used to increase room occupancy are expanding market share and working partners with travel agents, increasing promotions based on information technology and utilizing social media, strengthening local culture on products to be sold, providing valet parking for guests, providing technology application training to staff regularly to improve staff quality and performance, creating and developing products according to current trends.&#x0D; Implication: The Westin Resort &amp; Spa Ubud, Bali is in a growth stage.&#x0D; &#x0D; Keywords: yield management, room occupancy, new normal, SWOT.
A Study in Reproducibility: The Congruent Matching Cells Algorithm and cmcR Package

Scientific research is driven by our ability to use methods, procedures, and materials from previous studies and further research by adding to it. As the need for computationally-intensive methods to analyze large amounts of data grows, the criteria needed to achieve reproducibility, specifically computational reproducibility, have become more sophisticated. In general, prosaic descriptions of algorithms are not detailed or precise enough to ensure complete reproducibility of a method. Results may be sensitive to conditions not commonly specified in written-word descriptions such as implicit parameter settings or the programming language used. To achieve true computational reproducibility, it is necessary to provide all intermediate data and code used to produce published results. In this paper, we consider a class of algorithms developed to perform firearm evidence identification on cartridge case evidence known as the *Congruent Matching Cells* (CMC) methods. To date, these algorithms have been published as textual descriptions only. We introduce the first open-source implementation of the Congruent Matching Cells methods in the R package cmcR. We have structured the cmcR package as a set of sequential, modularized functions intended to ease the process of parameter experimentation. We use cmcR and a novel variance ratio statistic to explore the CMC methodology and demonstrate how to fill in the gaps when provided with computationally ambiguous descriptions of algorithms.
Evaluation of statistical properties and cryptographic strength of random sequences obtained by an IBM quantum computer

The paper aims to study the possibilities of using quantum generators based on the IBM Quantum Experience system in solving practical problems. The subject of the study is the evaluation of the statistical properties of quantum sequences. Special attention is paid to the application of such solutions in cryptographic algorithms. The relevance of the research is due to the possibility of compromising key information in deterministic algorithms for generating random sequences, as well as progress in the field of quantum computing. In the course of the study, the principles of the formation of quantum circuits were considered based on which software was developed that forms quantum sequences according to specified parameters. Three variants of quantum circuits were studied: a one- and five-qubit circuit for the IBM Quito quantum computer and a 25-qubit circuit for a quantum simulator. With the help of each of the circuits, sequences were formed for which statistical properties were evaluated based on the NIST SP 800-22 standard. In the course of the research, it was found that random sequences obtained on the IBM Quito quantum computer don’t have good statistical properties. Such sequences didn’t pass most statistical tests and also showed a distribution different from the distribution obtained on the simulator. The deterministic external environment is a crucial problem of weak statistical properties, which affects the operation of valves and meters. The degree of its negative impact determines the quality of the entire quantum machine. The study results can be used as a basis for further research of other quantum machines, as well as a basis for the overall improvement of the quality of a quantum computer. A quantum computer can help with incomparable calculations with supercomputers' capabilities. IBM's latest developments in the calibration of qubits and work with quantum errors will bring closer the possibility of their use in cryptography. Therefore, an essential aspect of development in this direction is the potential reduction of the impact of the external environment on quantum computer operation.
Development of Sparcol Videoscribe-Based Video Media in Thematic Learning

This research is motivated by the integrated thematic learning media used in elementary schools that are not yet technology-based and designed as attractive as possible. This study aims to develop a learning media based on Sparkol Videoscribe in integrated thematic learning in class V SD that is valid, practical and effective. This research is development research (R&amp;D) with the Plomp development model. The Plomp development model consists of three phases: the preliminary research phase, the development or prototyping phase, and the assessment phase. The results of this study indicate that the learning media developed have a level of validity, namely: design experts 95.8%, linguists 89.2% and (3) material experts 90.6%. Practicality level, from students 94.2% and teacher practicality 91.6%. The results of the effectiveness of learning media show effective results on student learning outcomes. It is known from the comparison of the average posttest results of students and the hypothesis testing of the posttest results which are higher than the pretest results. Posttest results show an average of 85%, while pretest results show an average of 67% (quite effective). Meanwhile, the hypothesis test showed Pvalue ≤ α (0.002≤0.05).
Effect of Concept Sentence Learning Model on Students' Learning Outcomes

This study aims to determine the influence of using the Concept sentence learning model on the learning outcomes of Tamansiswa Pematangsiantar Middle School students. The method used in this study is an experimental method with a randomized control group pretest-posttest design. The research was carried out in three stages, namely the preparation stage, the implementation stage, and the final stage. Data analysis was carried out quantitatively, namely descriptive and comparative. The data analysis technique used is descriptive analysis and inferential statistical analysis. Data testing was carried out in two stages, namely the analysis requirements test (normality test and homogeneity test), and hypothesis testing was carried out by statistical t-test. Research data were analyzed using SPSS version 21.0. From the results of the study, the average value of the post-test for the experimental class was 88.68, while the average post-test for the control class was 85.13. From the results of testing the hypothesis obtained tcount (2.338) &gt; ttable (1.992), then Ho is rejected and Ha is accepted meaning that there is a significant influence of applying the Concept Sentence learning model to student learning outcomes at Tamansiswa Pematangsiantar Middle School. It was concluded that there was an effect of applying the Concept Sentence learning model to the learning outcomes student of senior high school Tamansiswa Pematangsiantar.
Environment-based Learning Media with Green Biochemistry Approach

Southeast Sulawesi is one of the provinces that has the largest mining area in Indonesia. One of the main mining commodities is nickel, which has the largest natural resource potential of around 97.3 billion tons of nickel minerals. Mining has an important role in the development of a region because it produces industrial raw materials, a source of foreign exchange, employment and increases local revenue. On the other hand, mining can cause various threats or adverse impacts in the form of environmental damage and pollution. One of the areas experiencing adverse impacts from mining is Baliara Village, Bombana Regency. This study aims to determine the formulation of efforts to overcome and prevent seawater pollution by nickel waste using the green biochemistry approach. This research was conducted in April 2022 in Baliara Village, Bombana Regency using observation, interview and literature study approaches. The results showed that there are approaches that can be used to control or reduce nickel waste, namely using the flotation-filtration method, silica-modified tofu solid waste, utilization of mangrove vegetation as nickel heavy metal phytoremediation and the establishment of corporate social responsibility (CRS) by mining companies in controlling or monitoring environmental pollution. This approach is considered very effective in controlling pollution in the aquatic environment in Baliara Village, Bombana Regency, so that it can serve as scientific input and information for relevant parties in taking actions and policies in controlling pollution in the area
A SYSTEMATIZED APPROACH TO DATA HIDING USING IMPROVED LSB

Aim: This paper mainly focused on introducing a new framework for image and text hiding using a simple Least Significant Bit (LSB) substitution method.&nbsp; Results: Six 24-bit images are used as reference images. XOR operation is used in the stego key to generate new bit planes of the stego images. An RGB color image is used as a secret cover image. The proposed method dramatically increases the embedding capacity without significantly decreasing the Peak Signal-to-Noise Ratio (PSNR) value.&nbsp; Conclusion: This method increased the compression ratio, embedding ratio, PSNR and Space 24%, 53%, 36% and 47%, respectively. The result shows that the newly developed method improved the value of accuracy by 30% and sensitivity by 16% for the hidden images. &nbsp;Keywords: LSB, PSNR, FNR (False Negative Rate), Sensitivity, MSE (Mean Square Error), Specificity HIGHLIGHTS: The newly developed method with simple Least Significant Bit (LSB) improved the accuracy value by 30%, and sensitivity by 16% for the hidden image. The improved LSB method increased security and preserved the quality of hidden images.
IDENTIFICATION OF GEOLOGICAL STRUCTURES IN SIGI REGENCY, CENTRAL SULAWESI BASED ON DERIVATIVE ANALYSIS OF GRAVITY DATA

Sigi Regency is part of the tectonic zone in Central Sulawesi which is crossed by an active transform fault, the Palu Koro Fault.The northern region of Sigi Regency has a depression zone that forms a graben by a couple of Palu Koro Faults.The study area is prone to earthquakes and has fairly high geothermal potential.Therefore, it is necessary to control the dynamics of the structure here to mitigate earthquake disasters that may occur and may also affect the surrounding geothermal system.To identify the presence and characterization of the fault structures, derivative analysis of gravity data is used, including analysis of FHD (First Horizontal Derivative), SVD (Second Vertical Derivative), and MS-SVD (Multi Scale-Second Vertical Derivative).From this analysis, 4 normal oblique fractures and 1 normal fracture were identified.Faults derived from the derivative analysis have greatly improved the fault mapping reported on geological maps, including the shifting fault position from the geological map.And significant improvement was found on a shear fault causing the fault to be separated into 2 segments, changing the direction of the strike fault, and generating a new fault due to the created weak zone.
A Systematic Review on Teacher Digital Literacy in Higher Education

In order to conduct a conceptual review, and to discover the topics and categories of research, this study firstly searches the Google Scholar database, and then conducts a specific analysis of the 17 publications, hoping to explore the overall research that constitutes the topic of digital literacy for teachers in the university setting, to understand whether the concept needs to be continuously defined. The relative theoretical framework and key components to guide teacher digital literacy in the context of higher education have not yet been formed. It is necessary to continue to review the concept and key components of digital literacy for teachers in higher education in the future, providing a perspective for digital transformation research in higher education institutions.
Improving the Quality of a Discipline by Utilizing the Characteristics of Culture and Tourism Industry: Taking Chimelong Academy as an Example

Focusing on the advanced manufacturing industry and modern service industry in Guangdong-Hong Kong-Macao-Great Bay area, and working together with the world’s national brand Guangdong Chimelong, Chimelong Academy was established. The goal for the academy is to become the leading industrial institute that adopts an education system that can be used for reference and replicated and be a model for the deep integration of higher education and regional industrial development. Besides, a mature operation mechanism and systematic management is also applied in this academy, so as to establish an internationally influential engineering vocational institute.
Connective-aware interaction attention for implicit discourse relation classification

Implicit discourse relation classification, identifying relationships between arguments without explicit linguistic cues, is a challenging task. Previous studies have shown that connectives are important for recognizing implicit discourse relations. Most previous works applied connective prediction as an auxiliary task to promote knowledge transfer from connectives to labels which did not make full use of the relational mapping information of connectives. In this work, we propose an innovative Connective-aware Interactive Attention (CAIA) joint learning approach. Specifically, we use BERT to predict connectives and incorporate connective information into the interaction of the attention mechanism. Our experimental results on the PDTB dataset show that our approach achieves competitive results compared to recent state-of-the-art systems.
Development of Abdullah Permata Jingga Mosque Website Interface with User Centered Design Method

Indonesia as a country with the largest Muslim population in the world, is inseparable from the existence of mosques. The mosque, as a place of worship for Muslims, should function properly, therefore the surrounding environment can benefit from it. Currently, mosques are starting to use website as a representation that describes the characteristics of mosques as well as a source of information for worshippers and the general public. One of the mosques initiated implementing the website is the Abdullah Permata Jingga Mosque. However, in the use of the Abdullah Permata Jingga Mosque website, it found a problem with the interface that had an impact in the form of information conveyed was very limited to be accessed by its users. Based on these problems, an analysis and development of the website interface was carried out with aims to design an interface that can meet user needs. The method used to process data is with a User Centered Design approach. In testing the usability of the frontend interface solution design of the Abdullah Permata Jingga Mosque website, it was carried out using the heuristic evaluation method. Heuristics are evaluate 10 aspects of the principle of usability in the user interface. The results of the evaluation obtained 8 aspects of the principle with the category of "Very High" usability results. These results show that the user interface design solution of the Abdullah Permata Jingga Mosque is in accordance with user needs.
TOPIC GROUPING BASED ON DESCRIPTION TEXT IN MICROSOFT RESEARCH VIDEO DESCRIPTION CORPUS DATA USING FASTTEXT, PCA AND K-MEANS CLUSTERING

Video data retrieval can be done based on voice, image, or text data that represents video content. Searching for videos using text data can be done by calculating the similarity between the text descriptions provided by the user and the text descriptions of all the video data in the database. Only video data with a certain level of similarity will be provided to the user as a fetch result. Determining the similarity of the description text can be based on the clustering results of the feature representation of the description text with the word embedding used. This research groups topics of the Microsoft Research Video Description Corpus (MRVDC) based on text descriptions of Indonesian language dataset. The Microsoft Research Video Description Corpus (MRVDC) is a video dataset developed by Microsoft Research, which contains paraphrased event expressions in English and other languages. The results of grouping these topics show how the patterns of similarity and interrelationships between text descriptions from different video data, which will be useful for the topic-based video retrieval. The topic grouping process is based on text descriptions using fastText as word embedding, PCA as features reduction method and K[1]means as the clustering method. The experiment on 1959 videos with 43753 text descriptions to vary the number of k and with/without PCA result that the optimal clustering number is 180 with silhouette coefficient of 0.123115. The optimal clustering results in this study can be used for video data retrieval systems in the Indonesian language MRVDC dataset.
Pengaruh variasi campuran bahan bakar plastik polypropylene (PP) dan pertalite terhadap performa unjuk kerja motor injeksi 110 cc

The worldwide generation of plastics evolved over the years due to the use of plastics in various sectors. This increase affects the availability of petroleum resources because plastic is a petroleum-based material. The research method used is the experimental method. In this study, observations and tests were carried out on the performance of the 110 cc injection motor, namely torque and power. Data collection begins with 3000 RPM rounds and ends with 8000 RPM rounds according to the standard. The mixing variations between pertalite fuel and polypropylene plastic fuel are as follows: 30% pertalite and 70% polypropylene, 40% pertalite and 60% polypropylene, 50% pertalite and 50% polypropylene. The results showed that the fuel mixture of 30% pertalite and 70% polypropylene experienced an increase in torque from 5.77 N.m to 14.06 N.m, and an increase in power from 1.9 HP to 7.4 HP.
Efficient Integer Retrieving from Unordered Compressed Sequences

Abstract We investigate the problem of fast direct access to elements of an integer sequence given in a compressed form. If integers are sorted in ascending order, it can be reduced to performing the 'select' operation on a bitmap, which is very well investigated. We focus on more general and more complicated case of unordered integer sequence and propose to represent it with the help of variable-length Reverse Multi-Delimiter (RMD) codes. When applied to data compression, these codes combine a good compression ratio with fast decoding. In this paper, another property of RMD-codes is researched - the ability of direct access to codewords in the encoded bitstream. We present the method allowing us to extract and decode a codeword from an RMD-bitstream in almost constant time and make experiments on its application to natural language text compression. Due to properties of RMD-codes and compactness of auxiliary direct access structures our method appears to be very space efficient requiring only a few percent excess over the entropy.
A Need Analysis on Developing English Interactive Multimodal E-Book Oriented to 21st Century Skills

The need toward availability of online and electronic textbooks (e-books) in language teaching and learning in digital age and 21st century is very considerable. To design and develop an electronic book, teachers should consider all students’ needs. This study aimed to investigate and explore students’ English learning needs, wants, and difficulties of primary education on developing English interactive multimodal e-book integrated with the skills of 21st century including communication, collaboration, critical thinking, and creativity. The case study research design was used to deeply investigate and describe the students’ needs on development of English e-book. To collect data on the students’ necessities, difficulties, and wants for a primary English course design and skills, the researchers used interview and questionnaire. . The researcher interviewed one teacher and three students. For questionnaire, there were three main aspects asked: students’ necessity, wants, and difficulties totally consisting of sixteen questions. Documentation of the teaching and learning activities photos was collected and the data were analysed using qualitative and quantitative analysis. The results included (1) the students’ English skill was considered poor; they had little vocabulary mastery and low motivation toward learning English materials (2) the needs toward the 21st century skills to be included in e-book were very necessary to promote communication, critical thinking, and problem solving skills; (3) inserting various multimodal materials in each task of e-book was needed to increase students’ references, reading comprehension, and digital literacy, and (4) inclusion of various online activities like synchronous and asynchronous mode was highly demanded.