bluuebunny/crossref_metadata_2025 huggingface dataset:
THE ROLE OF HR ANALYTICS IN THE PERSONNEL CONTROL SYSTEM AND HR MANAGEMENT OF THE ENTERPRISE IN MODERN BUSINESS PROCESSES
Authors: DANILKOVA Anastasiia , SHELEST Ievgeniia , MANTUR-CHUBATA Olena , ZELENA Maria ,   Khmelnytskyi National University
Published: November 2023

The article specifies the concepts of “personnel control” and “HR-analytics”, defines the object and subject of personnel control, outlines the main directions and tasks of controlling. The article proposes the stages of formation of the controlling service at the enterprise. The study of the step-by-step implementation of the controlling service revealed that information flows play an important role in the functioning of personnel controlling, because it is the availability of valid, up-to-date information about personnel that is the key to the successful functioning of the controlling service. It was determined that HR analytics is a tool that greatly facilitates the work of the controlling service and brings it to a qualitatively new level. HR-analytics is able not only to form an information field, but also to provide analytical material that will form the basis of personnel controlling. Based on data from the HR department, HR analytics provides objective information about the real state of HR management at the company, determines what is working well and what is not, so that business entities can make the necessary adjustments in time and plan the future more effectively. In general, at enterprises, the function of collecting and processing information in most cases falls under the responsibilities of the personnel department, but the personnel department only ensures the proper processing of information, its storage, i.e., accumulates information in accordance with the requirements of current legislation. At the same time, the personnel department does not use the available information for the purpose of thorough analysis, decision-making on improving the efficiency of the use of the company’s personnel, etc. The process of implementing HR analytics consists in the implementation of a certain algorithm of actions. First of all, all the necessary data is collected, then the information obtained is compared with normative indicators, which helps to determine trends or patterns, the information obtained is analyzed, and insights are then applied to organizational decisions.
ECONOMIC SECURITY OF SOCIAL CAPITAL OF THE COUNTRY
Authors: HUROCHKINA Viktoriia , KALACH Hanna ,   State Tax University
Published: November 2023

The economic security of the country’s social capital acts as the basis of society’s stability and affects various aspects of the country’s life and development. Social capital is formed on the basis of common networks of social interaction, trust, cooperation, partnership and stable relations between citizens, public organizations and the government. The authors of the article present the essence of economic security of social capital and its distinctive features from social security in the system of socio-economic development of the country. The interpretation of the concept of “infinition of social capital” as an endless innovative flow of development and expansion of social capital in society is presented. It is characterized that the definition of social capital is based on the growth of social capital and is maintained and developed through social interactions, cooperation and trust between citizens and groups. The article discloses the conditions for the formation of the system of economic security of social capital, which is the basis of the state economic strategy aimed at the effectiveness and expansion of social relations and networks in the formation of economic stability and development, to achieve stability and welfare of society. The principles of the scientific and methodical approach to measuring the economic security of the country’s social capital are determined and a set of indicators characterizing the economic stability of society is outlined. It was determined that a distinctive feature of the economic security of social capital from social security in the system of socio-economic development of the country is the focus on the use of social relations and networks to support economic stability and development, while social security is aimed at ensuring minimum social standards and protecting citizens from risks, related to loss of income and social needs. Both concepts are important for the functioning of society, and they can interact with each other, affecting the well-being and sustainability of society.
Enhancing Blended Learning Quality: Perspectives of Omani University Students During and Beyond the COVID-19 Pandemic
Authors: Nasser Al-Amrani Said , Al-Ghaithi Ali
Published: November 2023

The global COVID-19 pandemic has accelerated the adoption of online learning materials, activities, and interactive tools, both synchronous and asynchronous, to enhance students' educational experiences. This research empirically evaluates the value that Omani university students assign to online learning and teaching, particularly in supporting their face-to-face education within the blended learning framework during the pandemic and beyond. The study used a mixed-methods research design to collect data through quantitative surveys and qualitative interviews. A total of 106 participants from Sohar University completed the survey, and 20 of them were selected for follow-up interviews. The findings indicate that, overall, students expressed satisfaction with the quality of online learning and teaching materials in the blended learning context. However, some students expressed dissatisfaction with the online interaction and teacher feedback. Specifically, the absence of individualised teacher feedback seems to have negatively affected students' motivation to engage in practice activities and discuss them with teachers during face-to-face sessions. The study offers pedagogical insights into effective integration of online technologies in educational programs and the utilisation of online platforms for technology-mediated instruction in higher education.
Who Am I Really? – Illusions and Splits in the Mirror
Authors: Schwartz Susan
Published: November 2023

This research paper examines the ‘As-If’ personality, characterized by mimicry, emotional distance, and disconnection from one’s true self, within the context of today’s social media culture. Drawing upon psychoanalytic insights, it explores the impact of living a superficial existence, marked by illusions and isolation. Through the lens of the Greek myth of Echo and Narcissus, it reveals the yearning for authentic connection and love beneath these personas. The study highlights the potential for healing and self-discovery in Jungian analytical psychology, emphasizing the journey to self-realization and authenticity.
KEPUTUSAN PEMBELIAN POCARI SWEAT ISOTONIK DIPENGARUHI OLEH KESADARAN MEREK SERTA PERSEPSI KUALITAS
Authors: Anggapratama Reza , Irnawati Dwi , Ivoka Junea Amelia , Shalzabilla Meta Firanka Sofie
Published: November 2023

Through shifts in individual ways more and more activities require common sense. The growing public attention to health then influences customer consumption behavior. This research aims to see that purchasing decisions for isotonic Pocari sweat are influenced by brand awareness and perceived quality. The research method is Multiple Linear Regression. This research is expected to show that brand awareness and perceived quality influence purchasing decisions for isotonic Pocari Sweat. Bojonegoro University students who drank Pocari Sweat as samples. Non-probability sampling was used for research. A questionnaire containing 12 statements was distributed to 100 respondents to collect information. Multiple linear regression for research methods. This research shows that brand awareness variables and overall quality perceptions influence purchasing decisions where the F count is 9.942 > F table 3.09. The results also show that brand awareness affects buying decisions where the t-count is 2.664 > t-table 1.984. Meanwhile, the perceived quality variable does not influence purchasing choices; the t-count is 0.124, smaller than the t-table of 1.984. The coefficient of determination from the definition test (adjusted R2) shows that brand awareness and quality perception factors can understand 15.3% of the variation in purchasing decision factors. For comparison, various elements outside this research understand the excess of 84.7%..
Keywords: Brand, Isotonic, Pocari Sweat
Senior High School Students’ Perception of Using Google Classroom at English Teaching and Learning
Authors: N Nuryati , Sugesti Ikariya , Winarto Eline Rozaliya
Published: November 2023

Google Classroom is a new application that used as an online learning media especially in English teaching learning. The objective of this research is to find out the students’ perception on the use of Google Classroom in English teaching learning at eleventh grade of Science Program at MAN 1 Kota Cirebon. Descriptive qualitative was used as the design of this research and the instrument of this research were questionnaire and interview, those were used to describe the students’ perception on the use of Google Classroom as a media in English teaching and learning. The research subject was 28 students eleventh grade of Science Program at MAN 1 Kota Cirebon. Based on the research finding and discussion, it can be concluded that students’ perception in using Google Classroom as an online learning media have positive respond, 92,9 percent of the students were agree that Google Classroom was easy to use and have good performance to used Google Classroom on English teaching and learning process because Google Classroom allow the students to save and retrieve and submit tasks or assignment, information and announcement,  attendance list through Google Classroom, and students enthusiastic and interested in English teaching and learning process. In conclusion, Google Classroom is one of the best online learning media in English teaching and learning process especially pandemic period.

Keywords: students’ perception; Google Classroom; English teaching learning.
Teachers’ Perception in Using a Blended Learning Method to Teach Listening Skill in EFL Classroom
Authors: Yolanda Meisa Anastasia , Adiantika Hanif Nurcholish , Charisma Dila
Published: November 2023

In COVID-19 19 Pandemic, teachers have to be able to find the suitable learning methods to be used in teaching the students, especially in teaching listening skill. One of the contexts of methods is the blended learning method. Blended learning is the combination between traditional (face-to-face) learning and online learning. The main problem of the recent study is what is the teachers’ perception in using a blended learning to teach listening skill in EFL classroom. So, the research aimed at finding the teachers’ perception, their weaknesses and strengths in using blended learning method to teach listening skill in EFL classroom. This study employs a descriptive qualitative as a method. The participants of the study were two English teachers at one of vocational school in Cirebon. The data were collected through semi-structured interview to gain relevant data. The result of the research showed that in teachers’ perception; Teaching listening using online learning methods and blended learning is something new for both teachers and students. Several obstacles occurred, not only from difficulties in adapting to technology, several obstacles also emerged from various sides such as from student interest in learning and inadequate facilities for teachers. However, the use of blended learning is very helpful for teachers in teaching, especially in teaching listening during this pandemic, even though it is not optimal.

Keywords: Teachers’ Perception; Blended Learning; Teaching Listening
Students’ Perception on Learning English through Songs to Enhance Students' Speaking Ability
Authors: Apriani Nia , Winarto Eline Rozliya , Aprianti Fitri
Published: November 2023

Songs are one of the effective teaching resources to improve students' speaking in English, the use of songs in learning English has many benefits, therefore, this study aims to determine students' perceptions of learning English through songs and to determine student responses to their abilities after learn to speak through songs. This research was conducted in one of the private vocational schools in the city of Cirebon. This research uses qualitative research with case study design. The data source of this research is using questionnaire and interview. To analyze the data, it is done through three stages, namely reduction, data display and verification. Then triangulation of data and sources is used to check the validity of a data. The results of this study illustrate that the use of songs is very effective as a learning resource to improve speaking English through songs. students give a positive perception of learning through songs that have been taught by their teachers in the classroom in the teaching and learning process they are more active and enjoy, become more enthusiastic in learning languages English, by learning through this song makes it easier for them to get more new vocabulary not only that students also know how to pronounce it properly and correctly, learning through this song students can use it in class or even outside class.

Keywords: Student perception; student speaking; use of songs
Teachers’ Perception on E-Learning at Vocational High School
Authors: Agustina Nina , Charisma Dila , Adiantika Hanif Nurcholish
Published: November 2023

The covid-19 pandemic has brought significant changes in every aspect of human life, including education. Indonesian Education and Culture Minister, Mr. Nadiem Anwar Makarim ordered all students including university students to research from home. Thus, the use of e-learning is the best choice in order that teaching and learning process run as well. This research aimed at knowing the teachers’ perception on e-learning at Vocational High School. The data was collected through interview. The participants were 3 English teachers selected by non-probability sampling which purposive sampling technique. The researcher used descriptive qualitative as a design method because it was considered as an appropriate approach as a type of research. The result of this research was presented descriptively in order to reveal the teachers' perception towards e-learning comprehensively. The research found that mostly the teachers gave good perception about e-learning. They improved their teaching through e-learning and got a new experience of the new media applied in teaching activity. Whereas, some teachers also gave perception that e-learning has obstacles that bad network, and the capacity of the application used in e-learning.

Keywords: Teachers’ perception; E-learning
An Analysis of English Teachers’ IT (Information Technology) Ability for the Success of Online Learning
Authors: Pertiwi Hanny Fajar , Charisma Dila , Aprianti Fitri
Published: November 2023

Teacher's role is one of the important components in teaching and learning activities. In the learning process, teachers are required to be professional in order to educate and support the success of students’ learning. During the Covid-19 pandemic, both teachers and students are required to carry out online learning. Every teacher must carry out his duties in educating and teaching students without face-to-face meeting. This phenomenon will be a challenge for all teachers, including English teachers. During online learning, English teachers are required to develop information technology ability and be creative in making learning materials, in order to convey the material well and interestingly. Therefore, it is paramount to reveal the ability of Information Technology of the English teachers in order to make online learning successful and the obstacle in creating materials for online learning. This research uses the descriptive-qualitative method where data collection was done by giving questionnaires and also interviews so as to provide clear information. The object of this research were the English teachers at MAN 1 Kota Cirebon. The results obtained from the research shows that the English teachers at MAN 1 Kota Cirebon had a fairly good ability to make online learning successful, in terms of operating Information Technology devices, providing solutions for students who have difficulties, providing motivation, and also making materials for online learning. The obstacle that was faced by the teacher was in terms of a bad internet network so that it does not support the online learning process.

 Keywords: Teachers' Information Technology Ability; Information Technology; Online Learning.
AN ANALYSIS OF ENGLISH TEXTBOOK ENTITLED “STOP BULLYING NOW” PUBLISHED BY KEMENDIKBUD RI
Authors: Fitriyani Indah , Aprianti Fitri , Sugesti Ikariya
Published: November 2023

The study examined the English text book “Stop Bullying Now” Published By Kemendikbud RI based on the Cunningsworth criteria. The study found out the quality of the English textbook “Stop Bullying Now” for class XI. The method employed in this study is qualitative descriptive. The study focuses the textbooks to fit the criteria based on Cunningsworth theory. In data-mining researcher using documentary analysis. Researcher analyzed 3 chapters of the 5 chapters of the textbook Published By Curriculum and Book Center, Balitbang, Kemendikbud. Studies show that the textbooks “Stop Bullying Now” are as good as the Cunningsworth criteria. It meets the criteria of the Cunningsworth and includes a good English textbook because it contains language content, skills, and topics. The study examined the English text book “Stop Bullying Now” Published By Kemendikbud RI based on the Cunningsworth criteria. The study found out the quality of the English textbook “Stop Bullying Now” for class XI. This study can be used by teachers as a guide in teaching so that teachers can use this textbook for school teaching activities. This study can be used by teachers as a guide in teaching so that teachers can use this textbook for school teaching activities.
An Analysis of Students' Ability in Writing Descriptive Composition in Vocational High School
Authors: Barokah Yuni Miratun , Winarto Eline Rozaliya , Sugesti Ikariya
Published: November 2023

In writing descriptive composition students still experience deficiencies, where some students still find it difficult to write. The purpose of study is to find out the students' abilities in writing descriptive composition and what that difficulties students face in writing descriptive composition in Vocational High School. This research was conducted by qualitative research using descriptive method. The subject of this research are students of class X OTKP in one of private school in Cirebon. There are 19 students in the class and researcher choses 14 students with a random technique. Furthermore, the researcher used student writing and interviews as instruments. The researcher analyzed the data, and the researcher found some finding in the field. First, it was found that the students' ability in writing descriptive compositions was at a low level. This is supported by the second finding, the results of interviews with students, namely that students' difficulties are the generic structure of descriptive composition which consists of describing objects in detail and grammar. In addition, most students have difficulty in arranging words into sentences and writing the correct spelling of words. In addition, the lack of vocabulary makes them write many repetitions of words in their writing.
Students' Perception of Problems in Speaking English at a Vocational High School in Cirebon
Authors: Naeni Cindi , Aprianti Fitri , Sugesti Ikariya
Published: November 2023

This research is aimed at studying the student’s problems in speaking at 11th grade of vocational high school. The research object is only centered on the learning process, while the subject of this research is an English students' at the school. During the learning activities carried out in 2 observations and 4 meetings were conducted. Observe the students' of applying learning process in the speaking class. Data collection techniques include questionnaire and interviews. On the preliminary researcher observed the students' learning process and then proceeded to the next meeting. Based on the data obtained from the observation, it can be seen that there are still many students who have problems when learning to speak English in class. The results of the interview show that after distributing questionnaire, and conducting interview, the researcher found that the 11th grade had many problems on speaking. The main factors of students’ problems because the environmental factors which do not support them to use English in their daily communication. This factor also have a big effect for students that they lack of motivation and seldom to practice English.
Geopolitikai érdekek és haderőfejlesztés az Északi-sarkon
Authors: Bazsó-Vigh Vivien
Published: November 2023

Az Északi-sark térségére egyre nagyobb nemzetközi figyelem vetült az utóbbi években. Napjainkban ez a figyelem tovább fog növekedni az erősödő klímaváltozás miatt, mivel a jég olvadása az északi területen megállíthatatlan. Ezáltal új hajózási útvonalak nyílnak meg, amelyek időben és távolságban is lerövidítik az utat Európa és Ázsia között. A tanulmány célja, hogy a három legfontosabb északi állam (Amerikai Egyesült Államok, Oroszországi Föderáció és Kanada) törekvéseit bemutassa az északi területen végrehajtott katonai fejlesztéseik révén. Tény, hogy az orosz védelmi stratégiában az Északi-sark kiemelt helyet foglal el, mivel már az 1950-es évektől jelentős gazdasági potenciállal rendelkező iparágak és infrastruktúrák települtek a térségbe. Ezekre a fejlesztésekre reagáltak a NATO-tagállamok is, és egyre nagyobb haderőfejlesztésbe kezdtek az északi területen.
Tahtíb: az ókori Egyiptom még ma is élő harcművészete
Authors: Galgóczi István
Published: November 2023

„Mindenki fél az időtől, de az idő csak a piramisoktól fél!” (arab közmondás) A tahtíb, Egyiptom fáraókori harcművészete egyidős a piramisokkal. Majd a Nílus menti birodalom bukásakor átalakult néptánccá. A 21. században a néptánc tahtíb szabályaiból megszületett a modern tahtíbnak nevezett önvédelmi küzdősport. Vajon az idő fél a tahtíbtól?
A Magyar Honvédség 15M gyakorló egyenruházat tervezésének környezetvédelmi aspektusai, 2. rész
Authors: Romvári Lilla , Szajkó Gyula , Pap Andrea
Published: November 2023

A Magyar Honvédség korszerűsítése, átalakítása a Zrínyi Honvédelmi és Haderőfejlesztési Program meghirdetésével, valamint végrehajtásával új irányt vett. A hadiipar újjáélesztése, az új képességeket biztosító haditechnikai eszközök beszerzése, a 15M hadi gyakorló öltözet rendszeresítése vagy a hivatásos és szerződéses állományú katonák illetményfejlesztése csak néhány elem azok közül, amelyekkel a felelős szervek, személyek meg kívánják valósítani a haderő modernizálását. Véleményünk és tapasztalatunk szerint az új típusú egyenruha bevezetésével ráadásul már egy kényelmesebb viseletű, jobb minőségű gyakorlót kaptak a honvédségben szolgáló katonák. A fejlesztések végrehajtásakor azonban célszerű azokat a tényezőket is megvizsgálni, amelyek negatív hatással lehetnek környezetünkre. A környezetszennyezés az egyik ilyen tényező, amelyre kiemelt figyelmet kell fordítani a honvédség részéről is. A textilipar által okozott környezetszennyező hatások kiváltásában a haderő mint megrendelő csak közvetetten jelenik meg. Ettől függetlenül érdemes a hadsereg részéről – a műszaki követelmények összeállításakor – azokat a szempontokat is megfogalmazni, amelyek segíthetik a szerződő gyártókat ösztönözni a kevésbé környezetkárosító eljárások alkalmazására. Cikksorozatunkban bemutatjuk a jelenlegi textilipar által alkalmazott környezetvédelmi trendeket, majd összehasonlítjuk – költségelemzés alapján – a különböző gyártáshoz használt nyersanyagokat, és javaslatot teszünk olyan szempontok kialakítására, amelyeket a honvédség részéről célszerű figyelembe venni a hadi gyakorló öltözetek alapanyagának kiválasztásakor, megrendelésekor.
Detecting Depression on Social Media : A Comprehensive Review of Data Analysis, Deep Learning, NLP, and Machine Learning Approaches
Authors: Tamanna Dhaker  , Aarju Kumar  , Dr. Abirami G
Published: November 2023

Social media platforms are vast reservoirs of human sentiment and behavior, making them ripe for depression detection. This literature review delves into approaches for this detection using data analysis, deep learning, natural language processing (NLP), and machine learning (ML). We discuss data types used and explore deep learning techniques like CNN, RNN, and DNN, applied across platforms such as Facebook, Twitter, and Reddit. The review also highlights NLP's role and ML algorithms, notably SVM, Naive Bayes, K-Nearest Neighbour, Random Forest, and Decision Trees. We analyze depression causes, its link with social media, and variations across age and gender. This comprehensive study guides researchers and practitioners in technology-driven mental health solutions.
DALL. E 2
Authors: Sudershan Manasvi Malhar
Published: November 2023

DALL.E 2 is a language model developed by OpenAI, which builds on the original DALL.E model. DALL.E is a neural network that can generate images from textual descriptions, allowing users to input written prompts and receive corresponding images. DALL.E 2 is an improved version of this technology, which has been trained on a larger and more diverse dataset, allowing it to generate more complex and varied images. DALL.E 2 can generate a wide variety of images, including objects, scenes, animals, and more, and can produce images that are surreal, humorous, or just plain bizarre. DALL·E 2 can understand the meaning of text and create images that match that meaning. This technology has many potential applications, from creative visual art to product design and advertising.
Evaluating NSGA-III : A Comprehensive Study on Multi-objective Optimization
Authors: Ms. Shilpi Jain  , Prof Kamlesh Kumar Dubey  , Dr. Madhur Jain  , Divyansh Rampal
Published: November 2023

This research paper provides a comprehensive analysis of NSGA-III, a state-of-the-art multi-objective optimization algorithm. We delve into its principles, advancements, applications, and comparative studies to showcase its effectiveness and limitations.
Role of Machine Learning in Managing Crowd Intelligence
Authors: Mohit Suthar  , Sunil Sharma
Published: November 2023

Machine learning is one of the essential technologies that is prevailing nowadays in almost every sector of business and education. People are becoming more advanced and developed gaining higher levels of technologies and learning data. Machine learning plays a key role in monitoring and facilitating various aspects of crowd intelligence which includes identification of a good level of workflow, collecting responses from individuals regarding workflow, and testing of various methods that can enable in crowdsourcing of the task. Various methods are adopted under machine learning to improvise and increase the demanded track of career and growth pace of business firms. One of the best methods which are available for analysing data and used by professionals is crowd-powered machine learning which in turn facilitates in automation of the building of analytical models. The following research is also based on a similar aspect in which discussion is been made regarding crowd-powered machine learning as well and an evaluation of the intelligent management of crowd-powered machine learning is also ascertained. Furthermore, the research also discusses the role played by machine intelligence in the management of crowd intelligence in AI. The research has also highlighted the various methods as well as techniques in order to understand the role of machine learning in the effective management of crowd intelligence.
Canister Satellite Light Weight Chassis Design using Bio Mimicry of Human Skeleton
Authors: Subham Pradhan  , Satyam Kumar  , Shubham Srivastav
Published: November 2023

The design of Canister Satellite (CanSat) chassis plays a crucial role in ensuring the structural integrity, stability, and functionality of the payload during its mission. This research paper proposes a novel approach to CanSat chassis design by drawing inspiration from the biomechanical characteristics of the human skeleton. By mimicking the efficient load distribution, flexibility, and durability observed in the human skeletal system, this bio-inspired design aims to enhance the performance and survivability of CanSats. The paper presents a detailed analysis of the human skeletal system, discusses the fundamental principles of bio mimicry, and outlines the application of these principles to CanSat chassis design. Finite Element Analysis (FEA) and prototyping are utilized to validate the effectiveness of the proposed bio-inspired chassis design. The results demonstrate the potential benefits of integrating bio mimicry into aerospace engineering, fostering innovation in satellite technologies.
E-CARGO BICYCLE
Authors: Mr. J. Gnanaraj  , Narasimman M  , Praveen R  , Samuel Edison A
Published: November 2023

The previous year's research offered a model
for forecasting parcel demand and
simulating parcel delivery tours utilizing
cargo bicycles. This year, the concept has
been upgraded to include new components
that improve the efficiency and
sustainability of the cargo bicycle
system.One of the newly additional
components is the battery, which powers the
cargo bicycle's engine. This allows the
cyclist to go longer distances and carry
larger weights while exerting less physical
effort. The motor is controlled by a throttle,
which allows the rider to modify the pace of
the cargo bicycle as needed.Another new
addition is the solar power tracker, which
uses the power of the sun to replenish the
battery when the cargo bicycle is parked or
in use. This eliminates the need for external
charging sources while also promoting
sustainability through the use of renewable
energy sources.The revised research
highlights the benefits of employing cargo
bicycles in urban delivery systems by
modeling alternative shares of cargo
bicycles and motorized vans, as well as
changing micro depot densities and parcel
demand intensities. According to the study,
the newly added components improve the
cargo bicycle system's efficiency and
sustainability, making it a viable alternative
to motorized delivery trucks in metropolitan
settings.Overall, the new project is useful for
urban planners and politicians interested in
supporting sustainable mobility options. It
demonstrates the use of cargo bicycles,
particularly when integrated with cutting-
edge technologies such as batteries, motors,
throttles, and solar power trackers.
Smart Manufacturing and its Impact on Production Processes : A Review
Authors: Adeleke Olorunnisola Oyeyemi  , Awotundun Oluwagbenga Joshua  , Olukanri Riliwan Babatunde
Published: November 2023

This review paper aims to analyze the theoretical foundations of smart manufacturing and its impact on production processes, particularly in the domains of robotics and additive manufacturing, across past, present, and future time horizons. It also explores the potential of smart manufacturing to improve the precision of manufacturing processes, as well as the challenges it poses to the manufacturing sector. This overview will deepen our understanding of modern manufacturing practices. It's worth noting that some scientific developments and technological tools discussed here can be applied to a wider range of automated systems beyond the manufacturing sector. As such, this paper offers valuable insights for those involved in automated system design and implementation.
Composition and Diversity of Swamp Plants In Lawa District, Southeast Sulawesi
Authors: Sitti Wirdhana Ahmad  , Indrawati  , Nurul Azizah  , Ida Usman1  , Damhuri  , Lili Darlian  , La Ode Muh. Munadi
Published: November 2023

This research aims to determine the composition and diversity of seasonal swamp plants in Kasiono Oe, Lawa District, West Muna Regency, Southeast Sulawesi, and analyze environmental factors that influence the growth of Kasiono Oe swamp plants. This research is descriptive-quantitative research carried out at 5 stations in the swamp area, namely Station I (Lianoghule River flow), station II (Mata River flow), station III (Soni River flow), station IV (near settlements) and Station V (near plantations ). Location determination uses the path and grid method with a width of 20x20 (for the tree phase) and the line method (for the seedling, sapling, and pole phase), installing transects 50 m long with a length of 100 m. The results of the research showed that the composition of plant species found in Station I was found to be 4 plant species totaling 115 individuals, Station II 9 species totaling 71 individuals, Station III 5 plant species totaling 49 individuals, station IV 5 species totaling 61 individuals and station IV 8 species totaling 109 individuals. The diversity index for the tree stratum was 1.03, the pole stratum 0.63, the sapling stratum 1.3, and the seedling stratum for Station II 1.09 and Station V 1.01. The highest uniformity index for the tree stratum was 0.943, and the lowest was 0.918. For the pole stratum, it was 0.91; the highest for the sapling stratum was 0.97. The lowest was 0.81, the highest for the seedling stratum was 0.99, and the lowest was 0.81.
Prognosis of Hyper Triglycerides Using Data Science and Machine Learning
Authors: S. Alagu Thangam  , S. Vilma Veronica  , G. Suresh  , S. Hemalatha
Published: November 2023

Triglycerides are a type of fat. They are the most common type of fat in our body. They emanate from foods, especially butter, oils, and other fats we eat and also come from extra calories. These are the calories that we eat, but our body does not need right away. Our body naturalizes these extra calories into triglycerides and stores them in fat cells. When our body needs energy, it disseminates the triglycerides. Our VLDL cholesterol particles carry the triglycerides to our tissues. Hyper triglycerides can increase the risk of heart diseases in particular, CAD, stroke, liver, kidney and other chronic diseases. In recent years Data science is one of the progressing demense due to the profusion of data sources and resulting data. The realm of healthcare is substantially ameliorated from Data science and Machine Learning applications because of these intuitive solutions. Using Data science techniques and Machine learning algorithms with ANN, we can prognoses the disease. The WHF dossier says that every year nearly 4.4 million death occurs due to heart diseases and WHO says that nearly 2.6 million deaths occur due to cholesterol.
Decision Analysis Using AHP and Kansei for Extracing Users's Emotional Factor of Information System
Authors: Ana Hadiana  , Fahmi Abdullah
Published: November 2023

In implementing an information system application based on particular users, one of the important consideration is to know users’ feelings through its interface. Kansei is a method for translating emotional feelings into a set of application element designs. The implementation of Kansei in the development of information system is to help the design of user interface based on the emotional feelings. The Analytical Hierarchy Process (AHP) method is effective as a solution for our research case of information system selection based on what users feel when interacting the system via its user interface, and we also used multivariate factor analysis as the comparison method. This research aimed to explore the information system application based on Kansei. In this case, we focused on open-source ERP systems as our research objects. The result of this research were to support the analysis of ERP according to the point of view of users’ emotional feeling using two methods. The results showed that there were different results between the two methods. However the Kansei word “Artistic” was an users’ emotion that had a great influence.
Simulation Studies of Three-Way Unbalanced Design on Fixed, Random, and Mixed Model
Authors: Amalia Nailul Husna  , Muhammad Nur Aidi  , Indahwati  , Fitrah Ernawati
Published: November 2023

Analysis of Variance (ANOVA) is a statistical technique used to compare means from various samples. Generally, a balanced design is used in ANOVA, but in some conditions, an unbalanced design can happen when the sample size is different in each treatment. This design will have the calculation of the F-test is different from usual for fixed, random, and mixed models. In this research, a simulation study will be carried out to see the differences in the results of the F-test decision in a three-way ANOVA with an unbalanced design based on a fixed, random, and mixed model. Simulation data is generated based on several scenarios, small sample size and large sample size, e~Normal (0,1) and e~Gamma (2,3), and applied to 8 models, that combine fixed effects and random effects in a 3-factor design. The simulation shows that sample size, error distribution, and the used model can affect F-test decisions. Designs with large sample sizes and e~Normal (0,1) produce more significant F-test decisions than small sample sizes and e~Gamma (2,3), and model 1 or the fixed model has more significant F-test decisions than other models in each scenario.
D. C. Electrical Conductivity of Ga doped ZnO
Authors: N. R. Thakare  , V. R. Chinchamalatpure
Published: November 2023

Doped ZnO is seen as a potential substitute to the expensive Sn doped material, as a transparent electrode in optoelectronic devices. Here, highly conductive and transparent Ga doped ZnO were prepared by chemical vapor deposition. The lowest resistivity and highest carrier concentration ever reported for CVD grown ZnO, Ga was achieved due to using oxygen poor growth conditions enabled by diethylzinc and triethylgallium precursors.
Physical properties like Electrical Conductivity of Zinc Oxide (ZnO) are studied with different doping in it. The dopant to study the varying physical properties of the ZnO semiconductor with respect to Gallium (Ga) semiconductor with changing doping by weight percent of0, 1, 3 and 5 wt. % gallium doped ZnO system are reported here. The electrical properties include dc electrical studies.
Production and Study of Electrical Characteristics for one of the Dual Estelline Polymers
Authors: Sahar Abdul Ghani  , Rwoa’a Tareq Hameed  , M. A. Abed
Published: November 2023

This study involved the development of a poly-2,4-hexamine-1,5 diol. Conductivity mechanics were investigated by tracking voltage-current characteristics, conductivity (time-current), and conductor motion as a function of temperature between 313 and 353 ok. The principal slopes of (I-t) curves reveal that an increase in temperature results in a rise in conductivity and conductor-carrier mobility (mobility µ). In addition, the activation energy was determined to be 0.897 via a calculation based on the curve formed by (-1/T). Also, the hysteresis of electrical conductivity at different temperatures was studied while the voltage stayed the same.
Assessment of Groundwater for Drinking and Irrigation in Kalanaur Block (Rohtak) Haryana, India
Authors: Abhishek Nandal  , Sunita Rani  , Surender Singh Yadav  , Naveen Kaushik  , Vishal Panghal  , Surender Singh Gulia  , Gajender Duhan  , Amrender Singh Rao  , Sunil Kumar
Published: November 2023

Groundwater is an essential source of drinking and irrigation in rural areas across the globe. Water pollution is among the leading problem in causes of health-related disorders all over the world. Physico-chemical analysis of water gives an insight into the quality of water. Various physical and chemical parameters were examined to calculate the water quality index (W.Q.I.) in villages of the Kalanaur block of Rohtak district (Haryana), India. The suitability of groundwater for irrigation purposes was determined by calculation of Sodium Adsorption Ratio (S.A.R.), Sodium Percent (Na %), Residual Sodium Carbonate (R.S.C.) and Permeability Index (P.I.), U.S. salinity plot, Wilcox diagram, etc. Most water samples were of high W.Q.I., indicating poor water quality. A minimum value of W.Q.I. was 58.38 for S17 and the maximum was 454.41 for S12. Most of the parameters analyzed suggested that water was polluted due to very high concentrations of T.D.S., chloride, magnesium and bicarbonate ions. S.A.R., Na %, R.S.C. and P.I. values were in the excellent to good range. Piper trilinear plot indicated that most of the water samples belonged to mixed Ca-Mg-Cl and Ca-HCO-3 type of water facies. Gibbs plot suggested a significant interaction between water and rocks in the area. Almost 50% of the water samples were suitable for irrigation.
Tensile Strength Enhancement Via Heat Treatment In Directly Recycled Aluminium Alloy (AA6065)
Authors: Suryakant  , Dr Mahendra Yadav
Published: November 2023

Products made through solid-state recycling of aluminum chips in a hot extrusion process were regulated by temperature-related factors by utilizing a preheating temperature of 350 °C, 400 °C, and 450 °C for one hour, two hours, and three hours of preheating time, respectively. Design of Experiments (DOE) was used, and the findings showed that the preheating temperature is more significant to manage than the preheating duration, and that increasing the temperature led to a high tensile strength. This conclusion was reached as a result of the experiments. The profile that was extruded for three hours at 550 degrees Celsius had reached the ideal condition for achieving the highest possible tensile strength. The heat treatment was carried out with the solution temperature set at 450 degrees Celsius for two hours, and the ageing procedure was carried out at 195 degrees Celsius for three hours. The extruded specimen underwent heat treatment, which resulted in a considerable increase in its tensile strength.
Graphene - Coated Surface Plasmon Resonance(SPR) Sensor for Detection of Preservatives in Milk : A Theoretical Investigation
Authors: Vipin Sharma  , Lalit K. Dwivedi  , Susheel K. Singh
Published: November 2023

Milk is an essential dietary staple for human sustenance. However, the presence of various contaminants, notably preservatives, within milk can potentially pose significant health risks and impact overall well-being. Consequently, the meticulous surveillance of pollutants and impurities, particularly preservatives, in natural and everyday food products has emerged as a pivotal endeavor to ensure food safety and enhance its overall quality. In this research study, the Surface Plasmon Resonance (SPR) technique is strategically employed for a theoretical exploration of preservatives, namely hydrogen peroxide, formaldehyde, and sodium carbonate, within milk. The investigation encompasses varying concentrations of these preservatives, ranging from 0% to 14.3%. Concurrently, the refractive indices span from 1.34550 to 1.35093, representing the concentration between the minimum (0%) and maximum (14.286%) concentrations of hydrogen peroxide, formaldehyde, and sodium carbonate. To authenticate the efficacy of the proposed sensor, an extensive assessment of performance parameters is conducted. These parameters encompass Sensitivity, Full Width at Half Maximum (FWHM), Figure of Merit (FOM), and Detection Accuracy (DA), with calculations performed for each specific case.
Cloud-Assisted IoT-Based Monitoring and Evaluation In Agriculture
Authors: R Nikisha  , C. Felsy
Published: November 2023

Agriculture is the primary economic activity in many rural areas and emerging nations, and it serves as the economic backbone for many nations. The agricultural industry has come a long way since its humble beginnings, and it is now significantly more complicated and multi-faceted. The problem that challenges agriculture in the modern day is how to provide food for the entire world’s population in a fair and equitable manner while also preventing irreversible damage to the natural environment. Farmers’ traditional techniques are insufficient to meet the rising demand of food. The agriculture sector faces various challenges such as producing more and better products while enhancing the sustainability through the smart use of natural resources, minimizing environmental harm, and adapting to the climate change. The purpose of introducing information technology into agriculture is to save production costs, improve production efficiency, and accelerate the development of productivity. Geographic information system technology is widely used in agriculture, such as precision agriculture, land resource management, crop yield estimation and monitoring, and soil and water conservation. The characteristic of expert decision-making system is the logical reasoning of knowledge, and the advantage of network is the acquisition of knowledge. In this paper, the agricultural data obtained from the expert database are displayed in the form of a tree list and are used in the process of system design. The geospatial data can be uploaded through the map loading function, find the map path, and easily uploaded by modifying the expert database. Efficient agricultural policies are essential to meeting increasing demand for safe and nutritious food in a sustainable way. While growing demand for food, feed, fuel and fibre presents significant opportunities for agriculture, government policies must address challenges such as increasing productivity growth, enhancing environmental sustainability, including reducing greenhouse gas emissions, and improving adaptation and resilience in the face of climate change and other unforeseen shocks.
Energy Optimization Using Reptile Search in Wireless Sensor Networks
Authors: Selvin Rajesh Kumar  , Dr. R. Isaac Sajan
Published: November 2023

Energy saving in wireless sensor networks (WSNs) is a critical problem for diversity of applications. Data aggregation between sensor nodes is huge unless a suitable sensor data flow management is adopted. Clustering the sensor nodes is considered an effective solution to this problem. Each cluster should have a controller denoted as a cluster head (CH) and a number of nodes located within its supervision area. Clustering demonstrated an effective result in forming the network into a linked hierarchy. Thus, balancing the load distribution in WSNs to make efficient use of the available energy sources and reducing the traffic transmission can be achieved. In solving this problem we need to find the optimal distribution of sensors and CHs; thus, we can increase the network lifetime while minimizing the energy consumption. In this paper, a Reptile Search Algorithm (RSA) for preserving location privacy and congestion avoidance with less delay guaranteed is proposed. With this routing technique, the complete sensor field is divided into different subdivisions and each subdivision elects a target area by computing its transmission distance. The backbone of the dynamic routing protocol consists of a virtual ring called bell nodes and a radial line called tentacle nodes employs more nodes to construct the network. The amount of radial line and radius of the virtual ring in a network are conjointly determined to ease the communication path from the node to sink. The radial line paths are routed directionally and bell nodes are routed with angular directions probabilistically. From the routing path, the tentacle nodes collect the data to dynamic sink which will assure that the information is going to be collected with less delay and attacker cannot guess their positions. The experimental results show that the proposed RSA method accomplishes enhanced performance in terms of energy consumption, packet delivery delay and lifetime.