bluuebunny/crossref_metadata_2025 huggingface dataset:
Coût de la prise en charge des fractures de l’extrémité supérieure du fémur à l’Hôpital Universitaire Joseph Ravoahangy Andrianavalona, Antananarivo
Authors: Ratsimbazafy NS , Rakotovao MA , Mamy Ben J , Solofomalala GD , Solofomalala HJC , Rakotomanga JDM
Published: May 2024

The aim of this cross-sectional study is to estimate hospital frequency and the cost of surgical management of fractures of the proximal femur. Patients and methods. Patients undergoing a fracture of proximal femur are included from January 2011 to December 2014. Results. A total of 28 patients were recruited. Hemiarthroplasty was performed for 18% of patients and osteosynthesis for 82% of patients. Median of age was 61 years old. The average of expenditure was € 303 per patient. Nearly half, or 40% of patients have assured themselves the expenses inherent to the intervention and the rest received support from their families. Among patients who ensured only their expenses, 63.63% of patients used a bank loan, 9.1% of patients used a debt with mortgage and 27.27% of patients were forced to sell a property. Conclusion. The considerable cost of the treatment of a fracture of the proximal femur forces patients to make catastrophic expenditures for health, which led them to ruin. A care financing system ensuring equitable care to the population is needed.
PENYUSUNAN RENCANA KERJA PEMERINTAH DESA (RKPDes) SEBAGAI INPUT PENYUSUNAN ANGGARAN PENDAPATAN DAN BELANJA DESA KOLOWA, KECAMATAN GU, KABUPATEN BUTON TENGAH
Authors: Jamil Jamil
Published: May 2024

Pengabdian Kepada Masyarakat dengan Judul Penyusunan Rencana Kerja Pemerintah Desa (Rkpdes) Sebagai Input Penyusunan Anggaran Pendapatan Dan Belanja Desa Kolowa, Kecamatan Gu, Kabupaten Buton Tengah. Kegiatan Pengabdian Kepada Masyarakat (PkM) ini dilakukan di desa Kolowa Kecamatan Gu, Kabupaten Buton Tengah dan bertujuan agar pemerintah desa dapat menyusun Rencana Kerja Pemerintah Desa (RKPDes) untuk waktu satu tahun sesuai dengan regulasi yang berlaku di Indonesia. Metode yang digunakan dalam kegiatan pengabdian pada masyarakat ini adalah Focus Group Discussion (FGD) dan pelatihan. Hasil akhir dari kegiatan ini adalah peserta pelatihan memahami proses penyusunan Rencana Kerja Pemerintah Desa (RKPDes) Kolowa Kecamatan Gu Kabupaten Buton Tengah sebagai input penyusunan Anggaran Pendapatan dan Belanja Desa (APBDes) Kolowa Kecamatan Gu Kabupaten Buton Tengah.
PELATIHAN DAN PENDAMPINGAN PENGGUNAKAN MEDIA PEMBELAJARAN DARING GOOGLE CLASSROOM BAGI GURU DI MASA NEW NORMAL
Authors: Dja'wa Asrianti , Darmanto Darmanto , Sule Sani Abdullahi , Abdullah Dedi , Abdullah Rudi
Published: May 2024

Pada era New Normal pasca pandemi covid 19, sistem pembelajaran di Indonesia berubah dari sistem tatap muka di kelas menjadi sistem pembelajaran hybrid yaitu metode pembelajaran yang menggabungkan antara konsep pembelajaran secara online atau daring dengan pembelajaran tatap muka atau PTM. Hal ini dilakukan demi menjaga mutu pendidikan di sekolah tetap berkualitas sesuai dengan amanat Undang-Undang Dasar 1945. Salah satu metode pembelajaran daring yang banyak digunakan oleh sekolah-sekolah adalah google classroom. Penelitian tentang penggunaan google classroom sebagai media pembalajaran daring telah banyak dilakukan dengan hasil yang memuaskan. Khalayak sasaran dalam pengabdian ini adalah guru SMP Negeri 2 Tomia Kabupaten Wakatobi Sulawesi Tenggara. Pada survey awal pada khalayak sasaran, Tim menemukan terdapat kendala pada khalayak yaitu khalayak sasaran belum menguasai penggunaan Android/Smartphone serta laptop untuk pembelajaran online. Selama ini khalayak sasaran hanya menggunakan metode daring dengan menggunakan grup whatsapp untuk mengirim materi dan siswa mengumpulkan tugas ke sekolah sehingga masih terjadi kontak antara khalayak sasaran dan siswa pada saat mengumpulkan tugas. Bedasarkan permasalah tersebut maka tim pengabdian memilih untuk memberikan pelatihan dan pendampingan pembajaran daring menggunakan google classroom untuk mengatasi masalah khalayak sasaran. Hasil yang diperoleh sangat memuaskan karena melebihi target pencapaian yaitu 99 persen dari target awal 80 persen untuk penguasaan penggunaan google classroom sebagai media pembalajaran daring bagi guru SMP Negeri 2 Tomia Kabupaten Wakatobi Sulawesi Tenggara.
Exploring the Affordances and Propensities of Multimodality in Narrative Pedagogies through Multimodal Ethnography
Authors: Wright Edward
Published: May 2024

This paper seeks to reflect on the propensities and advantages of multimodality in teaching and learning, and its rich exploration through multimodal research. It will also report and reflect upon the findings of a small-scale multimodal ethnographic study that was conducted over one scholastic year. This investigated whether, and how, the use of multimodal creative productions can facilitate adolescents’ search for meaning through the re-configuration and re-imagination of life experiences shared in a classroom context. The pedagogical context of this research consisted of RE (Religious Education), and MLE (Media Literacy Education) classrooms, enabling an exploration into a possible fruitful dialogue between these two curricular subjects. Another related aim of this paper is to investigate how a narrative-hermeneutic approach to learning can facilitate meaning-making when applied to and through multimodal production tasks in RE and MLE. The results indicate that through multimodality, made possible by the advancement of creative digital technologies, narrative pedagogies can become more effective. This transpires from the fact that multimodality expands the range of resources available for students to construct and share their narratives, as it integrates the auditory, visual, gestural, linguistic, and spatial modes, augmenting the overall narrative experience. Moreover, this study shows that multimodality can facilitate meaning-making by promoting and nurturing a pedagogy for creative expression, a pedagogy of empathy and compassion, a pedagogy of agency and authenticity, a pedagogy of vulnerability, and a pedagogy through the use of metaphor. The paper also makes specific recommendations on how a narrative-hermeneutical approach through multimodality can promote the specified pedagogies in the context of the mentioned curricular subjects.
Characteristics of Teacher Trainee Students in Malta and Their Readiness for the Labour Market
Authors: Fenech Christine , Formosa Genise
Published: May 2024

In view of challenges related to global teacher shortages as well as teacher shortages and attrition in Malta, attracting individuals to the teaching profession and retaining them is crucial. In this regard, students’ personal life has been identified as the strongest predictor of resilience in Maltese teacher trainee students besides self-efficacy, social and emotional competence, and self-efficacy in behaviour management. Therefore, the objective of this research is to investigate the social and economic conditions of teacher trainee students in order to understand their specific needs and evaluate the extent to which these needs are being met through present education programmes in Malta. This research focuses on the profile of teacher trainee students (n=142) based on the overall EUROSTUDENT VII dataset for Malta (n=1,226). Considering the factors that influence teacher trainee students’ resilience, the research investigates teacher trainee students’ satisfaction with their workload related to studies and paid work and difficulties encountered related to studies, work and personal life. It will also explore teacher trainee students’ self-reported readiness for the labour market.
Education.Co-op: A Nudge to the Future
Authors: Mallia Mario , Cauchi Bernard , Camilleri Andrew
Published: May 2024

The role of education is one which transforms. In a capitalist neo-liberal environment, the consuming and competitive individual is cast as the protagonist at the expense of communities that struggle for a common good. Especially in the global north, this is exacerbated by lifestyles and leisure patterns which have been heavily influenced by the onslaught of digital technologies, fragmenting to a considerable degree the physical community and the spaces for social interaction strongly associated with wellbeing. This is evident in a number of trends in society at large, including the organization of labour, which pits workers against each other, eroding solidarity, and dissipating class consciousness. In this context, many educators try their best to provide hope, a sense of belonging, and a struggle for justice. This they do despite being considered pegs to plug holes in a system struggling to cope, and where knowledge is considered technical and practical, rather than emancipatory. A cooperative model which provides a greater sense of belonging, an ethos underpinned by social justice and democratic principles, and ultimately a sense of trust and wellbeing, will be proposed. This model can provide a sound but permeable matrix which empowers educators collectively and provides a better community experience for a diversity of learners.
Exploring Adolescents’ School Experience in Malta
Authors: Vassallo Jeannine , Pace Maria
Published: May 2024

Adolescents who experience school as a nurturing and supportive environment have better educational outcomes, health and wellbeing (Currie et al., 2004; Rathmann et al., 2018; Coelho & Dell’Aglio, 2019; WHO, 2020). Hence, schools must consider their impact on adolescent wellbeing and development (Cefai et al., 2021). This paper delves into the school experience of secondary school students in Malta, specifically in Years 7, 9 and 11. It analyses some of the data collected as part of the 2022 Health Behaviour in School Children study (HBSC): school satisfaction and school-related pressure and stress, perceived academic performance, support from teachers and classmates; how these interrelate and whether they are underpinned by demographic factors (school year and biological sex).
Keywords
Adolescents, school satisfaction, school-related stress, schoolwork pressure, teacher support, classmate support, perceived academic performance
Attitudes Toward Inclusion and Utilitarian-Progressive Philosophical Orientations: A Survey Study of Maltese State Primary School Educators
Authors: Said Gabrielle , Muscat-Inglott Matthew , Schembri Heathcliff
Published: May 2024

This article conceptualises Maltese educational philosophy according to a utilitarian-progressive dualism, with critical theory as the source of antagonism between the two positions. In this sense, education for work and economic development serves as a utilitarian or technocratic justification for the prevailing socioeconomic status quo. In contrast, education for personal and social development serves more progressive or humanistic goals of personal empowerment and sociopolitical emancipation. Given that inclusion is a relatively explicit feature of Maltese educational policy and practice, we asked how attitudes towards inclusion currently interact with the broader foregoing philosophical orientations among Maltese primary school educators. A survey of 62 educators in a large state primary school was carried out, consisting of an existing scale for measuring attitudes toward inclusion, as well as a locally contextualised bespoke scale designed to measure philosophical orientations. Factors such as role and experience, as well as initial and ongoing training were included as explanatory factors. The results suggest overall positive attitudes toward inclusion, combined with a juxtaposition of utilitarian and progressive views about education. Based on the findings, we argue that initial training is a particularly important opportunity for educators to engage more fully with philosophy of education and critical pedagogy since they are less likely to do so later in their careers in the Maltese primary state school sector.
The Future is Now: Educators’ Vision for Tomorrow
Authors: Darmanin Janice , Mallia Mario
Published: May 2024

Education is never far from the news. It is intimately tied to the past, the present and the future. Some say that the past is where education has remained in terms of vision and practice. The more optimistic see education as taking stock of the past to create a present and a future. We are on the threshold of several important national milestones. The National Strategy for Education is up for review in the next two years as well as the National Curriculum. Then there is the collective agreement for educators, which is up for review in 2023. The future of educators hinges on the present and the future. This research, therefore, invited educators to reflect on the future of education and educators themselves. Nine focus groups were conducted, with 45 participants in total. Five key themes emerged from the data as influencing the future of education and educators, namely teaching and learning, leadership and climate, the education system itself, policy, and a changing society. The insights may serve as the basis for reflection and as a springboard for the generation of policy and practice on a national level.
Editorial
Authors: Grima Joanne Rita
Published: May 2024

I am truly delighted about this issue of the Malta Journal of Education entitled “The Future is Now”. The papers in this issue try to question and explore the profound changes and innovations that will shape the education landscape over the next decade. We have no magic glass ball, that’s true, but this is no excuse. We are bound to innovate and reinvent ourselves for the sake of our children who are the priority in every educational conversation we will be conducting.
Teaching as a Prospective Career: Motivators and Disincentives
Authors: Pulis Angele
Published: May 2024

There is a growing sentiment that teaching, as a prospective career, is losing its attractiveness. Encouraging young people to pursue a career in teaching is becoming a challenge. A teacher shortage crisis is being experienced globally, and locally a similar situation has evolved. Young people are shying away from teaching as a career. In this scenario, a quantitative study to investigate 16- to 18-year-olds’ perspectives on teaching as a prospective career will be conducted through a questionnaire survey. The participants, all in post-secondary institutions, will be invited to share their opinions and ideas on the topic. The aim of this research is to comprehend the factors that encourage or discourage 16- to 18-year-olds when considering teaching as their prospective career. The research findings could help inform future decisions at a policy level to help render teaching a desirable profession. The motivators and disincentives perceived by young people could provide a valuable perspective to different stakeholders who are interested in overcoming the teacher shortage crisis and in attracting the best talent from young people for the teaching profession.
CRYPTOCURRENCY MARKET DYNAMICS: TRENDS, RISK AND REGULATORY CHALLENGES
Authors:   College of Vocational Studies, University of Delhi, Delhi, India, Singh Kewal , PRIYANKA MS. ,   Satyawati College (Eve.), University of Delhi, Delhi, India.
Published: May 2024

The cryptocurrency market is a rapidly evolving landscape, characterized by its innovative nature and potential for significant economic disruption. This abstract delves into the intricate dynamics of the cryptocurrency market, focusing on the latest trends, inherent risks, and the burgeoning regulatory challenges that shape its future. Recent years have witnessed a surge in cryptocurrency adoption, with digital assets becoming increasingly mainstream. But there have been risks associated with this increase as well. One distinguishing characteristic of the market is still its volatility, which is fueled by mood in the market and speculative trading. Offers particular risks as well, such as worries about security and the possibility of illegal activity. Global regulatory organizations are struggling to provide comprehensive frameworks while encouraging creativity. The SEC’s recent actions against high-profile entities for offering unregistered securities highlight the intensified scrutiny within the sector. Moreover, policy adjustments by major exchanges, such as Hash Key Exchange’s halt on transactions with Binance, reflect the complex interplay between market operations and regulatory compliance. This abstract emphasizes the necessity of a well-rounded strategy that protects investors without impeding the technological breakthroughs that cryptocurrencies offer. As participants in navigating the cryptocurrency ecosystem effectively.
GST IMPLEMENTATION IN INDIA: A COMPREHENSIVE ANALYSIS
Authors:   Satyawati College Eve., University of Delhi, India, Singh Kewal ,   College of Vocational Studies, University of Delhi, India
Published: May 2024

‘The implementation of the Goods and Services Tax (GST) in India represented a watershed moment in the country's tax reform history. This article gives a thorough examination of the GST implementation process, including its goals, problems, and outcomes. This study assesses the impact of GST on several sectors of the economy, including manufacturing, services, and consumer goods, using a comprehensive analysis of literature, official publications, and statistical data. Key features of the GST structure, tax rates, compliance processes, and technology infrastructure are examined to determine their success in accomplishing the aims of simplifying taxation, boosting economic growth, and supporting fiscal consolidation. This report also looks at how firms, taxpayers, and government agencies have adapted to the GST regime. highlighting both the successes and shortcomings encountered during the transition. By synthesizing existing research and offering insights from diverse perspectives, this paper aims to contribute to a deeper understanding of the GST implementation in India and provide valuable lessons for policymakers, practitioners, and researchers in the field of taxation and public policy.
IMPACT OF COP26 ON INDIAN STOCK INDICES: AN EVENT STUDY APPROACH
Authors:   Sambalpur University, Odisha, India., Bal Chandan Kumar , Samal Suraj Kumar ,   Central University of South Bihar, Gaya, Bihar, India., Mishra Dr. Rohita Kumar ,   Sambalpur University, Odisha, India
Published: May 2024

The study aims at measuring impact of Indian government commitment on ESG100 index and BSE Manufacturing Index of Bombay Stock Exchange. The study uses the Event sturdy approach to compare pre-event and post-event Abnormal return and cumulative abnormal return. The Bootstrapping and Wilcoxon tests has been used for comparison. There is no significant difference found in abnormal return of both of the index. Mean adjusted cumulative abnormal return of both of the index es has significant differences. In BSE ESG100 index, Market adjusted cumulative abnormal return has no significant difference. In BSE Manufacturing index, Mean adjusted cumulative abnormal return has significant difference. The carbon neutrality deadline is long away, so Indian investors do not consider CoP26 seriously.
Perancangan Arsitektur Enterprise Menggunakan TOGAF (Studi Kasus: Desa Sukahaji)
Authors: Feriyanto Yanuar , Budiman Aprianda Alif , Maulidia Laely Isna
Published: May 2024

The Sukahaji Village Office is a government institution that operates in the Village in the Sukahaji District Majalengka. The Sukahaji Village Government has not implemented an Information System in carrying out its duties, this can be seen from the obstacles faced by the Village Government. The obstacle faced is the frequent hoarding of old data, making it difficult when it will be recorded again, in fact there is usually lost data that requires a system that can help data storage. The purpose of this research is to provide direction to be able to implement information systems for data storage. performance in the future, the method used in the development of enterprise architecture this time is the TOGAF ADM (The Open Group Architecture Framework) method using 3 (three) phases out of 9 (nine) phases, namely the Preliminary Phase, Architecture Vision Phase and Business Architecture Phase. This research will produce a blueprint and provide a roadmap using the elements contained in the TOGAF at the Village Office in order to implement the Sukahaji Village Office performance information system in the future.
Implementasi Algoritma Rivest Shamir Adleman (RSA) Untuk Keamanan Data Rekam Medik Penyakit Pasien Rumah Sakit
Authors: Tobing Devi Tresia
Published: May 2024

Medical records are records of the who, what, where, and how of patient care while in hospital. One aspect of the use of medical records is the documentation aspect, namely medical records contain important information that is useful for various parties. Medical records contain data regarding past and present health and contain health professional notes regarding the patient's current condition in the form of physical findings, results of diagnostic and therapeutic procedures and patient responses. Medical record documents belong to doctors, dentists and health service facilities, while the contents of medical records belong to the patient. What can be given, recorded or duplicated by the patient is a summary of the medical record. Patients have the right to know the contents of medical records, however, the entire medical record file can only be held by authorized health/medical records officers and cannot leave the location of the health facility. This aims to maintain medical confidentiality (because medical information can be misused) and prevent medical records from being lost or damaged. To overcome this problem, a computerized system is needed that is able to secure medical record data so that unauthorized parties cannot read it. One technique that can be used to secure medical record data is cryptography. Cryptography comes from Greek which consists of the words kryptos which means hidden and graphia which means something written so that cryptography can be interpreted as something written in secret or hidden.. In applying the Rivest Shamir Adleman (RSA) method in securing medical record data at home Mitra Sejati Medan Hospital, namely by inserting program coding from Shamir Adleman's Rivest method into the programming language used. Next, form a public and private key, then carry out the encryption process for medical record data
Sistem Pendukung Keputusan Pemilihan Kafe Terbaik Dengan Menggunakan Metode OCRA
Authors: Zebua Juli Novita Putri
Published: May 2024

Currently, the development of the culinary business in Indonesia is increasingly rapid. One of them is the cafe business. A cafe is a place to tell stories with friends, friends and family while enjoying dishes such as drinks and food that have been provided by the management according to the menu list available. In North Nias district there are several cafes which are gathering places for visitors who want to tell stories or want to enjoy the dishes available at the cafe. One of the cafes that the tourism department hopes is a cafe that can be enjoyed by all ages, from parents, adults, teenagers and even children. So that visitors who want to go to a cafe with their family can get comfort from each other in the same place. To determine the best cafe, the cafe must meet predetermined criteria, namely taste, price, service, facilities and cleanliness. However, the deciding party in this case is the Tourism Department in choosing the best cafe. So we need a decision making system that can help determine which cafe is the best cafe chosen by the North Nias district tourism office. The method used for the decision support system is the OCRA (Operational Competitiveness Rating Analysis) method. In this research the author applies the OCRA method with ROC weighting. The author will rank this method in order to find out the best alternative in determining the best cafe in North Nias Regency because this method is related to determining the value weight of each existing criterion and is equally used for the value ranking process. So a decision support system (DSS) is needed to solve this problem. SPK can be interpreted as an information system that is used to support decision making in a company or organization. In this research, the Operational Competitiveness Rating Analysis (OCRA) method is used, which is a method that can produce data in selecting the best cafe. The research carried out this by collecting data on selecting the best cafes, then sorting the data according to the criteria and carrying out calculations. And determine the best alternative that deserves to be the best cafe. It is hoped that the results of this research can process the selection of the best cafe in North Nias Regency, this research can make it easier for the tourism office to select the best cafe based on the OCRA method in selecting the best cafe in North Nias Regency. Based on the test results, the best alternative results were obtained, namely Cafe Saito Coffee (A5) which obtained a score of 2.309
Sistem Pendukung Keputusan Pemilihan Kepala Cabang SCO di JNE Menerapkan Kombinasi Metode Dematel dan Aras
Authors: Ramadhani Tri Desy
Published: May 2024

The head of the SCO (Sales Counter Officer) branch is a person who has good experience, knowledge and skills to lead and process finances every day who offer products available from the goods delivery service at the JNE Ekpress company. The SCO branch head also plays a role in organizing and coordinating SCO workers on duty, starting from arranging shifts, taking work records, and minimizing losses caused by SCO input errors. Decision Support Systems are computer-based systems consisting of several components, namely language system components, knowledge system components and problem processing system components, which are interconnected with each other in making a decision. through the use of data and decision models in order to solve a problem. DEMATEL (Decision Making Trial And Evaluation Laboratory) aims to find direct (dependency) in a variable system. The Additive Ratio Assessment (ARAS) method is a method used for ranking criteria. In carrying out the ranking process, this method is very suitable for use in selecting candidates for SCO branch heads. Where the highest value is the best value of the final result. Based on the test results, it is known that Rahmad is a candidate who meets the criteria to become the new SCO branch head with a score of 0.957972 or 96%.
Sistem Pendukung Keputusan Pemberian Insentif Kepada Karyawan Menggunakan Metode SMART
Authors: Lubis Nisfu Sanna
Published: May 2024

Providing employee incentives is a bonus given by the company to its employees, and is income outside of wages or salaries received every month. Giving incentives to employees at PT Gintar Pratama is done manually. However, the process of providing incentives to employees of PT Gintar Pratama is often not on target due to frequent miscalculations. This research was made to focus on these problems. The solution to the problem above is that the authors design a decision support system that can assist in solving the problem of giving incentives to employees of PT Gintar Pratama by using the SMART method in determining the weight of criteria and conducting rankings. This research produces a decision support system that can recommend giving incentives to PT Gintar Pratama employees use the SMART method. The results of this study are the creation of a decision support system for providing PT Gintar Pratama employee incentives using the SMART method. The method used is expected to create a very useful system, as well as a very accurate system. With the existence of a decision support system can provide recommendations to determine employees who are entitled to receive incentives.
Ecotourism and Art Mangunan Kaki Langit Tourism Village
Authors: Anwar Yahya Fahmi , Khairune Nisa An Nuur , Bahri Iswan , Oktaviani Gustiarti Putrisari
Published: May 2024

Mangunan Kaki Langit Tourism Village is an ecotourism that focuses on community empowerment. The village was formed on March 9, 2014, by the Mangunan Dukuhan KKLPMD Organization. The name "Skyline" has a deep meaning as a symbol of the goal of community empowerment in the Skyline. The concept refers to the idea that the Skyline Tourism Village must be able to move the community to achieve goals without space and time limits by creating new opportunities as a source of income and people's economic empowerment. This study aims to explore the potential of community empowerment of Kaki Langit Tourism Village and evaluate eight main activities that become a forum for community empowerment under their respective fields, such as traditional homestays, traditional culinary, cultural arts, unique tourist accommodation, youth support, local artisans, rural nature education, and agriculture. This research method uses a qualitative approach with data collection techniques through participatory observation, interviews with related parties, and document analysis related to the Skyline Tourism Village. The collected data is analyzed descriptively to get a comprehensive picture of the potential for community empowerment in the village.
Durian Culinary Products Based on Local Food as a Culinary Tourism Attraction in Medan City
Authors: Imran Yasin M. Try , Muhamad Muhamad
Published: May 2024

As the capital of North Sumatra, Medan City has an image that is quite attached to durian culinary destinations. This can be seen from the many culinary businesses that make durian their flagship product so that it can become an icon of culinary tourism in Medan. This study aims to identify the characteristics of the attractiveness, management, and promotion mix of culinary tourism products in three leading durian outlets in Medan City: Ucok Durian, Pelawi Durian, and Durian Ucok Tanjung. The method used in this study is exploratory qualitative with data collection techniques using in-depth interviews, observations, literature studies and documentation. The advertising promotion mix involves social media, print media, electronic media, and display signs. The sales promotion method is offered through free trials, discounts, and attractive promos during the durian season. Managers carry out The personal selling method whenever they fill in trade shows and festivals. The public relations method is carried out through collaboration with durian agents, being a seminar and media resource person, and becoming a sponsor for an activity.
REINFORCEMENT LEARNING: FRAMEWORK, APPLICATIONS AND CHALLENGES
Authors: Sandhu Manbir , Kaur Gurpreet , Purnima  , Saini Anuradha
Published: May 2024

Artificial Intelligence is the science of developing intelligent machines that can simulate human intelligence and perform complex tasks. Reinforcement learning (RL) is the trending interdisciplinary learning paradigm of machine learning and optimal control that mirrors the hit and trial learning mechanism of humans .The self-learning agents take actions in a dynamic environment, get rewarded or punished and use this feedback to learn optimal decision-making to maximize cumulative rewards over time. This objective of this paper is to present an insight into promising future technology. The introduction to the technology is followed by the key concepts that constitute the reinforcement framework, the different models of this paradigm, the applications that span a wide arena and the challenges facing this ever-evolving strategy.
AI IN AGRICULTURE:A LOOMING CHALLENGE, A GLEAMING OPPORTUNITY
Authors: Aggarwal Sanjeev , Bansal Sandhya , Goel Rajeev
Published: May 2024

As the global population burgeons, reaching an estimated 10 billion by 2050, the agricultural sector faces immense pressure to enhance productivity and sustainability Facing these challenges, the incorporation of artificial intelligence (AI) shows great potential for transforming farming methods This comprehensive review explores the multifaceted role of AI in agriculture, highlighting its opportunities, challenges, and pathways towards building resilient and sustainable food systems. From precision farming and crop health monitoring to predictive analytics and agricultural robotics, AI offers transformative solutions to address pressing agricultural challenges. Yet, integrating AI into agriculture faces challenges like accessibility, data privacy, and skills training. Collaborative efforts and strategic interventions can overcome these hurdles, unleashing AI's potential to secure food, combat climate change, and foster inclusive agricultural growth.
AI TOOLS FOR NETWORKING: A SURVEY
Authors: Makkar Amandeep , Kumar Amit , Taneja Sunil
Published: May 2024

Over the past few decades, there has been a significant development in the technology industry. Major technological advances like the Internet and automation are now the centre of attention. Technology that can perform significant tasks that were previously thought to be impossible has already been invented by humans. One of the most cutting-edge technologies that enable humans to copy and carry out a range of jobs is artificial intelligence. This paper focuses on the role of artificial intelligence in computer networks. One must first understand the ideas related to artificial intelligence and networks in order to properly understand what artificial intelligence is and how it functions in computer networks. AI networking has the potential to significantly increase productivity by upending established traditional networking practices.Artificial intelligence networking is an evolution of AIOps (AI for IT operations) that focuses on ongoing management, maintenance and optimization of a network. It combines AI with networking infrastructure to automate and optimize IT operations. Where AIOps has a broader focus on the information and operations (I&O) infrastructure level, AI networking is specific to the networking domain (data center switching, wired, wireless, LAN, WAN, SD-WAN, multicloud).
UNVEILING THE IMPACT AND PROSPECTS OF AI ON INDIAN VOTING BEHAVIOUR
Authors: Sharma Sunil Dutt
Published: May 2024

UNVEILING THE IMPACT AND PROSPECTS OF AI ON INDIAN VOTING BEHAVIOUR
ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON SOCIETY
Authors: Ranga Manisha
Published: May 2024

Artificial Intelligence has been the talk of the town these days. It is predominant in every aspect of life. Every nick and corner of the world is touched with technology. It has been proven a great help for mankind. But as AI development advances, people are talking about the negative and positive aspect of it. Human beings have mixed opinion regarding AI. This article is an attempt to review the positive and negative aspect of AI technology. This article concludes that AI has both negative and positive impact on the society. Also, there must be regulations on the development and use of AI.
COMPUTATIONAL INTELLIGENCE BASED ROUTING SOLUTIONS FOR MOBILE AD HOC NETWORKS
Authors: Kaur Ramanpreet , Taneja Dr. Kavita , Taneja Dr. Harmunish
Published: May 2024

Mobile Ad Hoc Networks (MANETs) refers to a wireless network where nodes dynamically establish and maintain connections with each other, directly without the need for a centralized infrastructure. MANETs are characterized by their decentralized nature, presenting challenges for routing protocols concerning rapid data transmission, minimized delay and Quality of Service (QoS) provisioning. Traditional routing protocols may struggle to perform optimally in MANETs due to frequent changes in network topology and resource constraints. The development of intelligent routing protocols tailored to the specific characteristics of MANETs is vital for dynamic and resource-constrained environments. Computational intelligence (CI) techniques have gained attention for designing intelligent routing protocols for MANETs. This paper provides a comprehensive overview of majorly used CI methodologies in MANETs. The paper reviews existing research on intelligent routing protocols based on CI techniques in MANETs and identifies future research directions in this field to address the unique challenges of MANETs and improve network performance and reliability.
IMPACT OF AI ON FUTURE OF CONSUMER BEHAVIOUR
Authors: Thakur Ashima , Kumar Dr. Manoj
Published: May 2024

Artificial intelligence (AI) has become a revolutionary technology in recent years, changing many facets of our life. AI has significantly changed how we shop, from intelligent chatbots to personalised suggestions. This article examines how artificial intelligence (AI) affects human behaviour, including how it may improve shopping experiences and how it affects how we make decisions.Artificial intelligence (AI) is having a more and bigger impact on our daily lives and society. AI has a big influence on consumer behaviour, much like a lot of other powerful technology. Artificial Intelligence (AI) is revolutionising the way businesses engage with their clients. It influences their purchase decisions and shapes their behaviour in the process. The increasing impact of AI is not only altering business practices but also changing the ethical landscape of AI and encouraging customers to consider the moral implications of corporate decisions more carefully. Marketing professionals always need to know what customers want and need—ideally, before they even realise it. That task may be considerably simplified by artificial intelligence (AI), particularly with the development of deep learning. AI and technology are evolving, and so too must marketers and the tactics they use. Processes are already being automated to let marketers act more quickly and wisely.
ANALYSIS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON BIG DATA ANALYSIS
Authors: Kumar Dr. Pankaj , Singh Mr. Lakhvinder
Published: May 2024

The combination of Big Data and Artificial Intelligence (AI) has become a revolutionary force in the era of unparalleled data creation. The volume, pace, and variety of data have grown exponentially, pushing the boundaries of standard analytic techniques. This paper investigates the ways in which artificial intelligence (AI) is transforming big data analysis and enabling its application in a variety of sectors. We examine the particular contributions made by AI approaches and explore the advantages, difficulties, and potential future directions of this revolutionary partnership. In-depth tables complement this analysis to give a more thorough grasp of AI's effects.
LINEAR ALGEBRA AS THE MATHEMATICAL FOUNDATION OF ARTIFICIAL INTELLIGENCE: CONCEPTS, APPLICATIONS, AND FUTURE PROSPECTS
Authors: Rani Mrs. Kavita
Published: May 2024

Linear algebra, a fundamental tool in the field of mathematics, plays an essential part in the mathematical foundation of the groundbreaking arena of Artificial Intelligence (AI). This mathematics branch offers immense possibilities for capturing complex relationships within datasets through matrices and vectors. These mathematical tools facilitate the concise representation of large volumes of data, contributing to efficient data analysis between them, bringing immense value to AI algorithms and models. This research paper investigates the pivotal role of linear algebra as the fundamental mathematical framework underpinning artificial intelligence. This paper also explores the foundational concepts of linear algebra and its direct applications in various AI algorithms, demonstrating how matrices, vectors, and transformations provide the essential mathematical scaffolding for the development and optimization of intelligent systems.
INTERNET OF THINGS (IOT): A COMPREHENSIVE REVIEW, EMERGING TRENDS, AND FUTURE DIRECTIONS
Authors: Barwal Ravi Kumar , Ashok  , Rohilla Neeraj
Published: May 2024

This research paper conducts an extensive examination of the Internet of Things (IoT) ecosystem, encompassing its historical evolution, technological underpinnings, and diverse applications across industries. The study addresses challenges related to security, privacy, and interoperability, offering insights into potential solutions. Additionally, the paper explores emerging trends in IoT research, including advancements in edge computing, integration with machine learning, and the convergence of IoT with other transformative technologies. By providing a comprehensive overview of the current state of IoT, the research aims to inform discussions on scalability, sustainability, and societal implications. The findings contribute to the ongoing discourse, fostering a deeper understanding of IoT dynamics and guiding future research and development efforts.
ARTIFICIAL INTELLIGENCE AND DIGITAL MARKETING: AN OVERVIEW
Authors: Mrs. Santosh
Published: May 2024

Artificial intelligence (AI) has come to improve digital marketing. With the help of AI, marketers can produce better products, make delivery faster, attract customers more effectively, and understand customer behavior. The company is using AI in marketing to create a more personalized experience across all channels. It will help marketers to better understand their audience interaction with their brand and better understand how their audience interacts with it and how they can attach to it. To create a balance between using AI and remaining transparent with customers, as more companies are funding AI-based products, customers want more transparency around how these technologies work—and what they mean for privacy. AI can be used in many ways, from improving website navigation to using computer vision to build more targeted ads. With the help of AI, many digital marketing tools are being used by marketers in daily transactions. It can help them in many ways, like social media management, graphic design, content creation, and research. It can also help them to provide better services to their customers. Without any human intervention, AI might be able to give a simple question’s answer about a company's products or services. With the help of AI, marketers' lives can be easier in the future by automating much of their present activity and providing information about consumers. In this study, conceptual methodology is used as the basis to collect secondary data and achieve the study objectives.
AI Tools for Networking: A Survey
Authors: Makkar Amandeep , Kumar Amit , Taneja Sunil
Published: May 2024

Over the past few decades, there has been a significant development in the technology industry. Major technological advances like the Internet and automation are now the centre of attention. Technology that can perform significant tasks that were previously thought to be impossible has already been invented by humans. One of the most cutting-edge technologies that enable humans to copy and carry out a range of jobs is artificial intelligence. This paper focuses on the role of artificial intelligence in computer networks. One must first understand the ideas related to artificial intelligence and networks in order to properly understand what artificial intelligence is and how it functions in computer networks. AI networking has the potential to significantly increase productivity by upending established traditional networking practices.Artificial intelligence networking is an evolution of AIOps (AI for IT operations) that focuses on ongoing management, maintenance and optimization of a network. It combines AI with networking infrastructure to automate and optimize IT operations. Where AIOps has a broader focus on the information and operations (I&O) infrastructure level, AI networking is specific to the networking domain (data center switching, wired, wireless, LAN, WAN, SD-WAN, multicloud).
TURBO CODE RE-ANALYSIS USING DIFFERENT ALGORITHMS
Authors: Singh Dr. Balkar
Published: May 2024

Turbo codes are a novel type of forward error correcting codes that have proved to give a perfor- mance close to the channel capacity as proposed by C. Shannon. The parallel concatenation of two identical recursive convolutional encoders that are spaced apart by an interleaver results in a turbo code encoder. The two cascaded decoding blocks used by the turbo code decoder pass along a priori knowledge generated by each block in turn. The decoding approach has the advantage of working iteratively, allowing for an increase in total performance. This study does a performance analysis of turbo codes. The performance study includes two decoding methods: the soft output Viterbi algo- rithm (SOVA), which uses the log-likelihood ratio to produce soft outputs, and the log maximum a posteriori probability (Log-MAP) algorithm. Both punctured and unpunctured codes are studied to determine the impact of utilizing various decoding algorithms. The performance of the two various decoding techniques is then contrasted in terms of bit error rate. MATLAB tools are utilized to per- form simulations.
संस्कृत- कृत्रिम बुद्धिमता के लिए सर्वोत्तम-एक अनुशीलन
Authors: रानी डॉ पुष्पा
Published: May 2024

संस्कृत- कृत्रिम बुद्धिमता के लिए सर्वोत्तम-एक अनुशीलन
AI BASED FEATURE SELECTION MODEL FOR SOCCER SPORTS MANAGEMENT
Authors: Madan Karun , Taneja Dr. Kavita , Taneja Dr. Harmunish
Published: May 2024

Due to swift development of data mining as well as machine-learning technology and the flare- up of big sports data mining expansion challenges, sports data mining cannot merely use data statistical methods such as how to club machine learning and data mining technology for efficient mining and analysis of the sports data, to supply useful advice for the public physical exercise, and this is an vital need to study. It is a kind of effective sports data mining work through feature selection algorithm. Around the tricky problems existing in the study of the sports effect, given the drawback of existing data sets and conventional research methods, this paper begins from data mining algorithm, construct the sports effect evaluation database, based on the feature selection scheme, using elastic system network algorithm, random forest algorithm, and the impact of sports on the outcome of physical gauges. The evaluation algorithm presents machine learning techniques and the feature selection algorithm to guide sports effect evaluation research. When studying this evaluation problem of the sports effect, according to created sports effect evaluation database, elastic system algorithm is appended to regularize, realize and optimize the feature selection. When selecting features of different sports skills using the information gains marked to rank the significance of characteristics, which can systematically and accurately provide the influence degree of the sports on diverse physical indicators, bring the physical fitness research little more scientific, and can uncover the effect of the sports as much as possible. Experimental results demonstrate that the selected features as well as ground-truth both have good accuracy and good evaluation as match up to the baseline method.
APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN DIFFERENT SECTORS
Authors: Lata Dr. Suman , Singh Dr. Nirmal
Published: May 2024

It is an advanced innovation that intelligent machines take the place human talent in different areas. Artificial intelligence is the intelligence incorporated by machines or software. Fake insights are getting to be a prevalent and make automation in various sectors. Manufactured insights within the final two decades have enormously moved forward performance of the fabricating, benefit segment and so within the field of instruction. Consider within the field of manufactured insights has given rise to the quickly developing innovation known as master framework. Application ranges of fake insights is hurling a tremendous affect on different areas of life as master framework is broadly utilized in these days to fathom the complex issues in different regions as instruction, building, commerce, medicine, weather determining etc. The regions utilizing the innovation of fake insights have seen an increment within the quality and effectiveness. This paper gives an outline of this technology and the scope of artificial insights in several zones with uncommon reference to the use of this innovation within the areas of instruction in conjunction with meaning, looking procedures, developments and future.