Reviewerly/exHarmony huggingface dataset:
IDENTIFIKASI PROSES PEMBENTUKAN PAPER CUP PADA MESIN FORMING ZBJ-X12 DAN KAJIAN PERMASALAHANNYA

Paper cups are disposable cups made of paper-based material covered with laminated plastic to prevent leakage. Paper Cups have two types, namely the hot cup and cold cup. The hot cup type paper cup is a paper cup that is specifically for hot drinks that has a onesided PE laminated layer. In producing paper cup packaging, one of the machines used is the ZBJ-X12 paper cup forming machine which has high technology in producing paper cups. This machine uses ultrasonic welding to glue the body of the paper cup and uses a heater to glue the bottom of the paper cup, the gluing process on this machine does not use glue as an additional material. In this machine, problems are often encountered while carrying out the production process, so that the production process becomes hampered and affects the quality of a product. Problems that often occur include tearing at the lip of the cup, paper cup stuck in the heater, and the bottom cup not sticking together perfectly. This problem is often encountered and hampers the production process and affects the quality of the product being produced. Based on the results of data collection in the form of observations, interviews, and literature studies, it can be concluded that machine maintenance and the knowledge and skills of operators on machines can affect the smooth production process and the quality of a product being produced.
ECC with stegnography for higher security and estimation of image quality using machine leraning

As intruders are getting smarter and we want to disguise the fact that anything secret is being transmitted, today's largest challenge when sending data to anyone is to ensure that no one can read our message. So authentication , integrity and confidentiality principals should be achieved to secure our data fully so in this paper we have combined the encryption with steganography and then performed the image quality estimation using machine learning to know the difference between the cover image and processed image .
Roblox in Higher Education

Roblox is widely recognized as one of the most popular metaverse games, boasting millions of users across the globe. The focus of this paper is on the impact of Roblox on higher education, exploring how it can be utilized as a valuable educational tool and the benefits and opportunities that can be created by integrating it into university courses. Additionally, this study investigates the challenges faced by students and educators when attempting to integrate Roblox into curricula. Previous research has primarily focused on Roblox’s impact on elementary schools, leaving unexplored its potential as a metaverse learning platform for higher education. To address this gap, a systematic literature review was conducted to extract themes from the selected literature, identify gaps, and draw conclusions. The study reveals that Roblox can be an effective tool for higher education and has the potential to gamify any university course. However, there is little awareness among educators about metaverse, and creating a customized 3D environment and coding it using Lua to create games can be a challenging task for them. The potential of Roblox as a learning platform for higher education has not been explored much. This study aims to investigate the perspective of students on Roblox’s integration as an educational tool using the TAM model, which states that computer acceptance depends on perceived usefulness and ease of use. The study will examine the potential of Roblox as an educational tool for higher education, as previous research has been limited to elementary schools.
An Evolutionary Study of the Impact of Artificial Intelligence Technology on Foreign Language Education

This study investigates the evolutionary impact of applying artificial intelligence (AI) technology to foreign language education. By employing complex systems thinking, the relationship between foreign language education and AI technology is explored, and dynamic models are employed to analyze the evolutionary patterns of AI technology in foreign language education. Through model analysis and numerical simulations, the interactive effects between foreign language education and AI technology in different modes are revealed. The findings demonstrate that, under different coupling modes, foreign language education and AI technology can achieve self-organizing evolution. When the interaction coefficient between foreign language education and AI technology is appropriately set, AI technology exhibits emergent properties for foreign language education. Lastly, suggestions are presented to promote the sound development of foreign language education and AI technology.
THE RELATIONSHIP BETWEEN NUTRITIONAL STATUS AND DEVELOPMENT OF CHILDREN AGE 0-24 MONTHS AT CIMAHI SELATAN HEALTH CENTER

Children with balanced nutritional needs and intake will have good nutritional status, and vice versa; inadequate nutritional intake will affect children's growth and development. This study aims to determine the relationship between nutritional status and the development of children age 0-24 months in the Working Areaf the Cimahi Selatan Health Center in a cross-sectional way. Data on nutritional status were measured using a baby scale for body weight and a length board for body length. At the same time, children's development was assessed using the DDST II form, which consisted of four aspects of development: gross motor, fine motor, language, and personal social. There are 30 subjects in this research selected using consecutive sampling techniques. From the results of the study, it was found that disorders of gross motor development (60.00%), language (100.00%), and personal social (100.00%) were dominant in the 12-24 month age group. In comparison, disorders of fine motor development (33.30%) were found to be equally average in each age group. The results of the analysis showed that there was a significant relationship between aspects of gross motor development (p=0.031), fine motor (p=0.010), language (p=0.045), and personal social (p=0.012) with wasted nutritional status in children 0-24 months in the Cimahi Selatan Health Center Work Area, so it can be concluded that children with wasted nutritional status have a greater risk of experiencing developmental disorders. This result is in line with the theory that inadequate nutritional intake will affect the development process of brain maturity, resulting in a decline in brain function and various delays in child development.
Photonic in-memory computing using continuous-time data

Photonic computing is literally becoming big business with the rise of several private companies trying to commercialize this technology. One of the advantages of using photonics is of course the ability to multiplex in wavelength - in principle providing highly parallel information processing through a given set of "weights" or system variables. Effectively, this can greatly enhance throughput. However, the use of multiple wavelengths, while very feasible still requires use of several filters and multiplexers. Here we report a technique to parallelize data processing through photonic hardware accelerators, particularly in-memory computing systems both with or without photonic hardware.
Design of the Si-PDKT Application for the Memorandum-in Validation process when inspection of ship documents

Arriving Vessel Document Inspection System (Si-PDKT) is a web-based application that is implemented by utilizing information technology as a supporting tool for optimizing memorandum services in the process of inspecting arriving ship documents at the Class II Cirebon Harbormaster and Port Authority Office. The purpose of developing the Si-PDKT application that will be implemented in KSOP Class II Cirebon Section Legal Status and Ship Certification is more efficient management of ship data, digitally stored ship documents, avoiding document loss, facilitating the management of ship transactions, conducting validation and verification quickly. The method used is development research. In development research, a system design is carried out which is carried out in several stages based on an analysis of the needs of the system to be used. The stages are divided into three main stages, namely infrastructure requirements, system creation, and application usage. The research results show that the Si-PDKT that was built can be accessed at the address https://sipdkt.ksopcirebon.id. The stages of using Si-PDKT are (1) creating an account via email; (2) the user uploading the company decree; (3) After being verified, the user changes the profile; (4) on the company data menu, the user can choose the company where it works; (5) on the ship data menu, the user can add ships; (6) on the menu data memo-in contains the ship's data along with the documents and the memo-in (7.) If it has been filled in, a memo-in history will appear. At the end of verification from the operator, a verification status will appear where there is a color change following the verification status, and if you click on verification, the verification history will appear. If it has been verified as final, then the Memo In document can be downloaded.
Design of the Process of Ascending and Descending of Davits on Lifeboats Automatically

The Davits on lifeboats is a tool for lowering a lifeboat where the lifeboat is a means of rescue when an accident occurs. A lifeboat is designed to save human lives in case of trouble at sea. A lifeboat generally refers to a vehicle carried by a larger ship for use by passengers and crew in an emergency. Researchers here use the RnD method, starting research at the time of marine practice on the MT ship. Fortune Pacific xlix, when researchers practice, researchers began to make observations of lifeboats and goddesses on board. Researchers began to make a frame of mind to design goddesses on lifeboats automatically. After that, researchers made skeleton designs of lifeboat goddesses and carried out mechanical and electronic designs. Researchers also tested mechanical and electronic devices after testing. Researchers began to find problems with goddess poles and ropes, then revised the product after revising the product. Researchers make product improvements. The process of making the design of the rise and fall of the goddesses on the lifeboat automatically through data collection methods in the form of observation, documentation, and data analysis methods begins with the design of the tool design in the form of the tool-making stage, trial stage, and evaluation stage and has been validated by Mr. Anang Budhi Nugroho M.Eng as a lecturer at the Semarang Shipping Science Polytechnic and in the process of making goddesses on the lifeboat automatically is also assisted by Nur Rokhim is a programmer who is currently carrying out education at UNNES. The suggestion for use in this design is not only to be applied to the system of rising and falling goddesses on lifeboats but can be applied to the shipping industry, which in its work intersects goddesses on lifeboats. Then the important process is to make an initial concept of the design model that will be made automatic by relying on electronics and mechanics on the tool.
&lt;strong&gt;Meaning Computation AI and Semantic Reasoning&lt;/strong&gt;

This paper's aim is to extend horizons in symbolic AI. The key to doing so is to establish a scientific basis for knowledge foundations, and specifically for the concept of meaning, and its computation. This led to the creation of the Meaning Computation AI (MCAI). Knowledge structures are at the heart of MCAI. The semantic triple chain, one of such structures, is the subject of this paper. This structure is the core of introducing computational semantic reasoning models across a variety of domains. To efficiently apply knowledge structures to create semantic reasoning applications MCAI contains a development framework consisting of four components. The first component stems from our discovery that knowledge is relational in nature. It can be expressed through implicit relations (which reflect meaning) and semantic relations (which describe how implicit relations act between entities). An algebraical apparatus for relational knowledge, specifically for implicit and semantic relations, represents the first component. Axiomatic models of relational domain ontologies and domain-oriented semantic reasoning models comprise the second and third components. The fourth component contains domain-oriented semantic reasoning engines.
The Advantages of Muvon Ecosystem For The Quality of Practicum of SMK Students in Distance Learning

This study aims to explore the advantages of the Muvon Ecosystem mobile learning application in improving the quality of practicum of SMK students in the context of distance learning. A descriptive qualitative approach is used in this research, with data processing from interviews with respondents consisting of the Head of SMK, Curriculum Staff, Productive Teachers, and Students of SMK Muhammadiyah in DKI Jakarta. The research method is adjusted to the analysis that is measurable and set in a certain period. This research aims to collect primary and secondary data to find facts in the field regarding the need for innovation in the use of mobile learning for vocational practicum through the use of questionnaires as a data collection instrument. The results of this study concluded that respondents showed a positive response to the utilization of the Muvon Ecosystem mobile learning application in distance learning for vocational practicum of vocational students, with a percentage level of agreement of 78%. This shows that Muvon Ecosystem has advantages compared to other mobile learning applications and can be an alternative in carrying out practicum activities with online instructions. Muvon Ecosystem application has a variety of feature facilities such as EduMu, LearningMu, VideoMU, PustakaMU, MessenggerMU, and so on which are very helpful for teachers in implementing practicum learning methods. Another advantage is that Muvon Ecosystem is free to use without requiring payment to become a member for a certain period of time, unlike the RuangGuru application. In addition, the Muvon Ecosystem also allows integration with parents, so parents can control their child's learning activities at school. However, there are drawbacks to Muvon Ecosystem that need to be considered. The main issue that arises is that the network is an obstacle, as not all students are in locations with strong signals. Some students face the problem of weak signals, so learning through the Muvon Ecosystem app stops when the signal becomes weak.
MODELING RIVER RUNOFF OF LITERAL TRIBUTARIES OF THE BUKTYRMA RESERVOIR WITH USING HBV MODEL

The article presents the results of applying the HBV-light model for 6 mountain rivers flowing into the Buktyrma reservoir: Buktyrma, Ulken Boken, Naryn, Kurshim, Turgysyn, Kalzhyr. Research work carried out the simulation of the flow of mountain river basins with a catchment area varying within 758-12423 km2. The parameters of the models were calibrated using the GAP optimization algorithm for the periods 1978-2017. The calibration period according to the recommendations for river basins were 5 years, with the exception of the Turgysyn and Kalzhyr river basins, where hydrological stations were opened in 2012 and 2007, respectively. For modeling the runoff as input hydrological and meteorological data were used data from the observation network of the RSE “Kazhydromet”. It should be noted that, due to the sparse network of meteorological stations, for Turgysyn, Kurshim, Ulken Boken, Naryn river basins as input data were used meteorological data from stations not located in the catchment areas of rivers. As a result of model calibration, the optimal parameters for each river are obtained. Several widely used criteria were used to evaluate the effectiveness of the model: NSW, PBIAS, RSR and R2. The results of calculations of these criteria correspond to a "very good" and "good" assessment of the performance rating: the Nash-Sutcliffe criterion varying between 0.84 – 0.92, the RSR ranges 0.32-0.45, the PBIAS -14.3 % to +18.2 %. According to the simulation results, it was revealed that the model for all the rivers under consideration reproduces the dates well the beginning, duration of the spring flood period and the maximum water consumption for this period. Given the sparse network of meteorological stations and the overregulation of some river basins, the using of the HBV-light model showed good results of modeling runoff for mountain rivers of Kazakhstan for calibration period. Also, the model was validated for 2018-2020 period. Validation results on performance criteria indicators for the Buktyrma and Ulken Boken river basins showed a “very good” replication result, while for the remaining 4 river basins the results were unsatisfactory, which was a consequence of management activities on the flow of river basins.
Factors Affecting Employee Engagement: A Study on Private Organizations in Bangladesh

Employee engagement is essential for a company to maintain positive and productive work environment. Employee engagement and motivation at work are key factors in the success of teams and the entire organization. It improves productivity, reduces turnover rates, and fosters a positive work culture. This study explores the various ways in which organizations can increase employee engagement and motivation. The study also highlights the importance of leaders and managers in promoting a supportive work culture. Employee engagement is used to describe a worker's emotional and intellectual attachment to their organization, which expresses as dedication, enthusiasm, excitement, focused work, and enthusiasm. Engaged workers typically feel better about their jobs. Companies with engaged employees also typically generate higher profit. The study discusses the importance of work independency, equitable pay structure, professional growth, work-life balance, and cooperation of supervisor co-worker. This study identifies the most influential drivers that motivate employees to engage their job psychologically and physically. This study also determine the factor that policy maker should consider in order to increase employee engagement. Keywords: Employee engagement, work independency, work-life balance, Professional growth DOI: 10.7176/EJBM/15-16-03 Publication date: September 30 th 2023
Implications of Knowledge Management Processes for Project Performance:Systematic Review, Gap Analysis and Scientometric Analysis

The purpose of this study is to review the current Knowledge Management (KM) trends and make inference for future directions of KM in project-based organizations and project performance through a Systematic Literature Review (SRL) and Scientometric analysis. First a Google advanced search was conducted and produced five hundred and seventy six (576) papers A SLR of 38 articles from 2000 – 2022 was conducted to narrow the study. Key stages in the systematic review included the formulation of the research questions, the identification of relevant research, data extraction and assessment of the risk of bias, data synthesis, summary and interpretation of the findings. Further, 981 academic documents on the topic were retrieved from Publish or Perish database. Then, co-occurrence and co-citation analysis were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant key words, network of terms co-occurrences with 68 keywords, 793 links, and total link strength of 1,486 was revealed. The most popular keywords within the period, together with their frequency, mean year of publication, links, and total link strength were identified. Keywords: Knowledge Management, Systematic Literature Review, Scientometric Analysis, Project Performance, Bibliometric DOI: 10.7176/IKM/13-6-01 Publication date: September 30 th 2023
Phishing Attacks Detection by Using Artificial Neural Networks

Today's world is heading towards complete digital transformation, and with all its advantages, this transformation involves many risks, the most important of which is phishing. This paper proposes a system that classifies the email as phishing or legitimate. Initially, the samples were brought from different data sets, and then the system extracts the features from all parts of the email. The proposed system uses one of the machine learning algorithms (K-means algorithm) to select the valuable features; the proposed system uses four methods to calculate the distance in the K-means algorithm. After features selection, The paper uses ANN as a classifier to classify emails into phishing and ham, and the proposed system tunes the parameters of ANN to obtain a high percentage of accuracy. The proposed system gave an accuracy equal to 99.4%.
Effectiveness of Use of Historical Learning Media Based on Mobile Learning in Increase Awareness of History of Students at SMAN 1 Sumberejo

&lt;p class="06IsiAbstrak"&gt;&lt;span lang="EN-GB"&gt;Education in this era requires technology as a supporting facility in facilitating the learning process. Based on observations made at SMA Negeri 1 Sumberejo, it was found that the history learning media used was simple, and the learning was still teacher-centered. Monotonous subject matter and teaching concepts that only memorize textbooks make students lazy to study. This problem affects students' historical awareness. The historical awareness of students at SMAN 1 Sumberejo is still low, as evidenced by the results of the distribution of students' historical awareness questionnaires in class X IPS of SMAN 1 Sumberejo, which obtained an average score of only 63.05 or around 42.03%. This study aims to determine how effective mobile learning-based history learning media is in increasing students' historical awareness at SMAN 1 Sumberejo. The method used in this research is the experimental research method. Based on the discussion results, it can be concluded that using mobile learning-based historical learning media at SMAN 1 Sumberejo has proven effective in increasing students' historical awareness. This conclusion is based on hypothesis H0 is rejected, and H1 is accepted because the independent sample t-test obtained a sig of 0.000. Or the t value has a significance level (2-tailed) &amp;lt; (0.05).&lt;/span&gt;&lt;/p&gt;
Processing and Modification of Blockchain Transactions

Blockchain technology has become increasingly popular in recent years, particularly in the realm of digital currencies such as Bitcoin. Blockchain transactions are processed and modified through a complex and decentralized system that involve various nodes, miners and validators. This article gives a general overview of how blockchain transactions are processed and modified, including the verification process for transactions, the creation of blocks, and the role of miners in the mining process. Additionally, this paper explores the reasons for modifying blockchain transactions, such as updating the protocol, correcting errors, and resolving conflicts. The challenges associated with modification, including achieving consensus, mitigating security risks, and obtaining community agreement, are also discussed. Finally, future research directions and final thoughts on blockchain transaction processing and modification are presented. Understanding the intricacies of blockchain transaction processing and modification is critical to harnessing the power of this innovative technology, and this research work provides a foundation for further exploration and development.