bluuebunny/crossref_metadata_2025 huggingface dataset:
APLIKASI SISTEM INFORMASI PELAYANAN (SIMPEL) KELURAHAN PANTAI AMAL BERBASIS WEB
Authors: Prayogi Denis , Muhammad Muhammad , Suprianto Suprianto , Fadlan Muhammad , Zulhilmi Hafizhan
Published: August 2024

Kelurahan Pantai Amal merupakan kantor yang berada di Kecamatan Tarakan Timur, Kota Tarakan, Provinsi Kalimantan Utara, dan memiliki peran penting dalam melayani Masyarakat pada wilayahnya sesuai kebutuhan dari Masyarakat sekitar. Pelayanan yang dilakukan biasanya terdiri dari surat pengantar dan surat keterangan berdasarkan pengajuan dari Masyarakat. Dalam proses pelayanan ini terdapat banyaknya tumpukan antrian dikarenakan proses pengerjaan pendataan dan juga pembuatan surat masih menggunakan Ms. Word dan Ms. Excel yang harus diketikkan satu persatu. Dalam hal ini teknologi sangat dibutuhkan untuk mempercepat proses pekerjaan yang dilakukan pada kelurahan Pantai Amal. Aplikasi Sistem informasi dapat dibuat dengan menggunakan metode waterfall dan diharapkan dapat memiliki hasil yang tepat dan akurat dikarenakan melewati beberapa proses, diantaranya Analisa kebutuhan, Perancangan, Implementasi, Pengujian, dan Pemeliharaan. Aplikasi yang dinamakan dengan Sistem Informasi Pelayanan (Simpel) Kelurahan Pantai amal dapat melakukan pendataan dan pengarsipan lebih cepat daripada saat menggunakan Ms. Word dan Ms. Excel.
APPLYING SERVQUAL, TAM AND IMPORTANCE PERFORMACE ANALYSIS TO EXPLORE USER EXPERIENCE OF SAYURBOX
Authors: Purwandani Indah , Syamsiah Nufia Oktaviani , Rosmia Mia , Nurwahyuni Siti
Published: August 2024

The high disparity in prices of agricultural products between farmers and consumers raises special concerns. The prices paid by consumers are high, while farmers as producers receive low prices. The many distribution chains that must be passed from farmers to consumers are the main cause of this disparity or difference. The phenomenon related to increasing use of Sayurbox is still not accompanied by very good customer satisfaction. Many customers feel disappointed with the quality of the products and services provided by Sayurbox. This research aims to determine the level of service quality of the SayurBox application with the variables contained in Servqual, TAM and IPA. This research variable uses user perceptions and user expectations from five Servqual dimensions, namely Tangibles, Reliability, Responsiveness, Assurance, Empathy and 2 dimensions of the Technology Acceptance Model, namely Perceived Usefulness, Perceived Ease of Use. Data collection was carried out using an online questionnaire containing 24 questions representing the dimensions used. Next, the collected data will be analyzed using the four quadrants of the IPA method to find out management information and service quality strategies. Quadrant 1 Keep Up The Good Work has 9 indicators, Quadrant 2 Possible Overkill has 3 indicators, Quadrant 3 Low Priority has 6 indicators and Quadrant 4 Concentrate Over Here there are 6 indicators. It can be concluded that integrating the Service Quality (Servqual), Technology Acceptance Model (TAM) and Importance Performance Analysis (IPA) methods can provide analysis results related to the user experience of Sayurbox users.
Efektivitas Teknik To-Do List terhadap Time Management Mahasiswa Psikologi UIN Malang dalam Belajar
Authors: Imani Zuriah Syahda , Pamungkas Achmad Fanani Ade , Jamaluddin Muhammad
Published: August 2024

Penelitian ini bertujuan untuk mengetahui efektivitas teknik to-do list terhadap time management mahasiswa psikologi UIN Malang. Penelitian merupakan penelitian eksperimen dengan pendekatan kuantitatif. Subjek dalam penelitian ini adalah mahasiswa kelas D jurusan psikologi UIN Malang yang dipilih dengan menggunakan kuesioner time management sederhana. Metode pengumpulan data yang digunakan adalah skala manajemen waktu. Data yang terkumpul dianalisis menggunakan Paired Samples Test dari data pretest dan posttest dengan bantuan Statistical Package for Social Sciences (SPSS) 25.0 for windows. Hasil penelitian menunjukkan bahwa terdapat pengaruh signifikan dari perlakuan yang telah diberikan dilihat dari nilai signifikansi (2-tailed) skor pretest dan posttest (0.001 krg dr 0.05) yang membuktikan bahwa ada pengaruh yang signifikan dari perlakuan menggunakan teknik to-do list dilihat dari perbandingan pretest dan posttest.
Overview on Technologies for Combating Interference and Noise Management in 5G and Beyond Network
Authors:   Department of Electrical/Electronic Engineering , Niger State Polytechnic, Zungeru, Niger State, Nigeria, Adama Jiya Enoch , Muhammad Muhammad B. ,   Department of Electrical/Electronic Engineering , Niger State Polytechnic, Zungeru, Niger State, Nigeria, Abolaji Stephen Korede ,   Department of Electrical and Electronics Engineering, Auchi Polytechnic, Auchi Delta State, Nigeria, Turku Suleiman ,   Department of Electrical/Electronic Engineering , Niger State Polytechnic, Zungeru, Niger State, Nigeria
Published: August 2024

The introduction of Fifth Generation (5G) and beyond networks has brought forth a new age of potential and problems in the quickly changing telecom industry. From conventional communication systems to complex radio communication networks, wireless communication has advanced significantly. With substantial advancements over earlier technologies, 5G cellular networks present a novel idea that unifies a wide range of machines and gadgets. 5G technology expands the user experience and improves communication efficiency through previously unknown advancements. Researchers have used cutting-edge technologies to create networks of tiny cells. Future wireless networks will still have significant challenges related to interference management. Heterogeneous Networks (HetNets), Internet of Things (IoT), Device-to-Device (D2D) connectivity, Relay Nodes (RNs), Beamforming, Massive Multiple Input Multiple Output (M-MIMO), millimetre-wave (mm-wave), and other systems are all incorporated into the new network design. The performance and dependability of these sophisticated networks are greatly impacted by noise and interference; thus, controlling these elements effectively is essential. In order to maximize the performance of future wireless communication systems, this study looks at the interference and noise problems that have been seen and researched in a variety of network architectures and methodologies, including 5G and beyond. It emphasizes the significance of strong interference management techniques.
The Relationship between Growth and Quota Restrictions Concerning the Textile and Clothing Industry: A Study on RMG Sector of Bangladesh
Authors:   Associate Professor Rajshahi University of Engineering and Technology, Fatema Dr. Kaniz , Moniruzzaman Dr. Mohammad ,   Associate Professor University of Dhaka, Mondal Dr. A. K. M. Golam Rabbani ,   Professor University of Rajshahi, Hossain Dr. Md. Amzad ,   Professor University of Rajshahi
Published: August 2024

The textile and clothing industry plays a significant role in the economy of Bangladesh. At present, the export performance of the readymade garment sector is more than 80% of total exports and hence made about 12% of GDP in Bangladesh. Thus, the development of our country largely depends on this sector, and it is considered as the backbone of our country. As the quota system under the Multi-Fiber Agreement phase had a great impact on the development process of the readymade garment sector in Bangladesh, the aim of this study is to find out the relationship between quota restriction and the growth of the readymade garment sector. For this purpose, the research has covered a period of twenty-four years as sample size, where 12 years has been considered as pre-MFA periods and 12 years as post-MFA period. Though this study is quantitative in nature, Descriptive statistics and Multiple Regression Analysis Techniques have been used to find out the relationship between quota restriction and the growth performance of Bangladesh's textile and clothing industry throughout this study period. At this point, the Multiple Regression Analysis Technique has been used for testing the dependency of Bangladesh RMG export amount on the Annual GDP, Exchange Rate, Employment in Million Workers and No. of garment factories throughout these periods. This regression analysis technique was tested with SPSS software and results showed the most significant factors affecting the export of Bangladesh RMG sector during the Pre and Post MFA periods. The evidence also showed no statistically significant relationship between the quota restriction and the growth of the Readymade Garments sector in Bangladesh. Therefore, by considering the significance of this sector in our economy and for the long run sustainability in this competitive world the textile and clothing industry in Bangladesh must meet the challenges appearing throughout this period.
Evaluation of the Effect of Transnational Migrant Remittance, Investment, and Knowledge Transfer on Cultural Exchange in Ghana
Authors:   Accra Institute of Technology, Department of Business, Accra, Ghana., Amoah Tackie Michael Kojoe , Frimpong Mensah Dr. Thelma ,   Accra Institute of Technology, Department of Business, Accra, Ghana., Awadzie David Mensah ,   Wisconsin International University College, Department of Business, Accra, Ghana.
Published: August 2024

The primary objective of this study is to investigate transnational migrant remittance, investment and knowledge transfer on cultural exchange. To achieve this aim, a survey research approach was employed to gather data from the DuBois Centre and the Diaspora African forum in Accra. Four hundred questionnaires were distributed and 380 were successfully retrieved, yielding a response rate of 95%. This study examined two hypotheses using partial least squares structural equation modelling (PLS-SEM), and the results indicate that investment has a positive and insignificant impact on national tourism development. The study's results indicate a substantial impact of remittances on cultural exchange. This implies that financial transfers made by migrants to their home countries, referred to as remittances, have a positive effect on cultural exchange. Moreover, the findings also demonstrate that transnational migrant investment has a considerable and positive impact on cultural exchange. This suggests that as investment levels increase, so too does cultural exchange. Additionally, the statistical analysis showed that transnational migrant knowledge transfer has a significant and positive effect on cultural exchange. To encourage higher volumes of financial transfers from migrants to their home countries, it is recommended to implement policies that lower transaction fees for remittances. Providing tax breaks, subsidies, or matching funds for investments made by migrants in their home countries, particularly in sectors that promote cultural exchange, such as arts, education, and cultural tourism, can also be beneficial. Establishing exchange programs, mentorship schemes, and partnerships between local institutions and migrant communities to facilitate the transfer of skills and knowledge can further facilitate cultural exchange.
Human Development and Poverty in Indonesia
Authors:   Development Economics Study Program, Warmadewa University, Bali, Indonesia, Yudi Pardita Dewa Putu , Darma I Ketut ,   Development Economics Study Program, Warmadewa University, Bali, Indonesia, Putra I Komang ,   Development Economics Study Program, Warmadewa University, Bali, Indonesia, Sri Purnami Anak Agung ,   Development Economics Study Program, Warmadewa University, Bali, Indonesia
Published: August 2024

This study examines the relationship between Indonesia's Human Development Index (HDI) and poverty levels. Despite significant economic growth, poverty remains a serious issue in Indonesia. The main objective of this research is to understand how improvements in HDI, which includes dimensions of health, education, and standard of living, can influence the reduction of poverty levels. The study uses a quantitative approach with secondary data from the Central Statistics Agency of the Republic of Indonesia, covering the period from 2013 to 2022. Analysis was conducted using simple linear regression with the assistance of SPSS 26 software. The results of the study indicate that HDI has a significant impact on reducing poverty levels. This research emphasizes that increasing HDI through improved access to education, healthcare services, and a decent standard of living can significantly reduce poverty in Indonesia. These findings support existing literature and provide important implications for human development policies and poverty alleviation strategies. The study also suggests the need for further exploration with a more comprehensive approach to deepen the understanding of the relationship between HDI and poverty.
Contextualização do ensino da química para estudantes do ensino médio utilizando plantas medicinais
Authors:   , Carvalho Humberto
Published: August 2024

ontextualização do ensino da química para estudantes do ensino médio utilizando as plantas medicinais. Orientador: Marcelo Henrique dos Santos. Vivemos tempos conturbados, nos quais muitos estudantes enfrentam ansiedade, o que tem dificultado o processo de ensino e aprendizagem. Além disso, o estudo da Química, especialmente a orgânica, apresenta muitas dificuldades de assimilação para os estudantes, que frequentemente consideram o conteúdo distante de suas realidades. Situação agravada pelo fato da maioria das escolas não possuirem laboratório de ciências para a realização de práticas experimentais para tornar as aulas mais atrativas, restando aos professores, em sua maioria, a opção por aulas expositivas. Neste contexto, o uso das tecnologias, principalmente de fácil acesso como os smartphones, os quais são amplamente acessíveis para a maioria dos estudantes do ensino médio, constitui uma ótima alternativa para desenvolver nos discentes a vontade de aprimorar os seus estudos. O objetivo desse trabalho foi preparar aulas mais atrativas, contextualizando o ensino de química pela análise fitoquímica utilizando aplicativo PhotoMetrix® na determinação química do maracujá. Os resultados da determinação química mostraram alto teor de compostos fenólicos no maracujá, no entanto a maior concentração foi encontrada no extrato da folha. Com relação as aulas ministradas utilizando o aparelho celular, cultivo de plantas, coleta e construção do herbário, foi possível observar o envolvimento dos estudantes em todas as etapas da análise fitoquímica, proporciando uma aula de qualidade, incorporando os conteúdos teóricos à prática interdisciplinar. Palavras­chave: Smartphone.PhotoMetrix®. Compostos fenólicos. Maracujá. Flavonóides
Modernização da gestão pública: análise da aplicação de métodos ágeis em uma Superintendência da Agência Nacional de Energia Elétrica
Authors:   , Lopes Gustavo Matias
Published: August 2024

Este estudo buscou analisar as implicações da utilização de métodos ágeis na Superintendência de Concessões e Autorizações de Geração (SCG) da Agência Nacional de Energia Elétrica (ANEEL). Para isso, identificou-se os desafios, potencialidade e áreas passíveis de aprimoramento, visando a otimização e modernização da gestão organizacional. Dois estudos distintos, porém, complementares, foram desenvolvidos. No primeiro, analisou-se as capacidades estatais da ANEEL, sob a ótica do modelo teórico desenvolvido por Wu, Ramesh e Howlett (2015) em seu nível técnico-administrativa conforme Pires e Gomide (2016). Os resultados demonstraram que a ANEEL, de forma geral, possui indicadores já em grau de aprimoramento (TCU, 2021) indicando sua elevada capacidade técnico-administrativa. No entanto, ao desagregar alguns indicadores em suas dimensões, foi possível observar que as áreas de outorga da ANEEL, especialmente a SCG possuíam deficiências que foram sendo mitigadas a partir do momento em que se adotou metodologias ágeis na gestão de seus projetos. No segundo estudo, este qualitativo e descritivo, o objetivo foi compreender como as metodologias ágeis foram implantadas na SCG, por meio de entrevistas realizadas com 10 colaboradores que fizeram parte dessa experiência na Superintendência. A análise dos dados seguiu a metodologia de Análise de Conteúdo de Bardin (2011) com auxílio do software IRAMUTEQ. A partir do material empírico, formou-se duas categorias de análise: “Rotina de Trabalho na Superintendência da ANEEL” e “As Particularidades na implantação de Métodos Ágeis no Serviço Público”. A adoção das metodologias ágeis melhorou positivamente a gestão de projetos na SCG. Destacou-se a iniciativa dos próprios servidores em propor tal ação, com a criação de grupo de estudos e, posteriormente, de um projeto piloto, o qual permitiu a aplicação e adequação dos métodos ágeis à rotina de trabalho da SCG na ANEEL. Palavras-chave: Métodos Ágeis; Serviço Público; Capacidade Estatal; ANEEL
Encryption of Host-to-Host Payment Transactions Using MasterSession Key Implementation for Multi-Merchant Acquirer Integration via a Single Payment Gateway Platform
Authors:   Director Information Technology, Fiserv, USA, Joshi Pavan Kumar
Published: August 2024

In the era of digital transactions, ensuring the security and scalability of a payment gateway solution is paramount. This paper explores the implementation of master-session key encryption for host-to-host payment transactions, facilitating seamless integration with multiple merchant acquirers through a single payment gateway platform. The master-session key method provides a robust framework for securing sensitive information, ensuring data integrity, protecting against unauthorized access, and improves interoperability among diverse financial entities. This paper outlines the architecture, key management, encryption process, and security benefits of this approach.
Evaluation of Quality Control in Construction Project
Authors: Arpan P. Trivedi  , Jayraj V. Solanki  , Ankitkumar S. Patel  , Jatinkumar S. Patel
Published: August 2024

Quality management is a fundamental aspect of any construction project, intertwined with all operational and managerial processes within a company. It plays a pivotal role in attracting customer satisfaction, which in turn ensures long-term competitiveness and business survival in the highly challenging and competitive construction market. This paper aims to evaluate the practices of quality management in construction projects by examining the tools and techniques applied and assessing the level of commitment towards its implementation. Additionally, the paper seeks to identify and address the challenges faced by companies in the industry, offering a set of proposals and recommendations aimed at improving the overall quality management practices. It is imperative for construction companies to provide an environment conducive to deploying related tools, techniques, and procedures effectively, thereby ensuring operational success. The paper concludes with an illustrative example demonstrating the application of quality management in construction projects, grounded in scientific principles. Furthermore, it proposes the development of systems and specifications tailored to the construction industry through collaborative efforts involving professionals within the field. By soliciting input from various stakeholders and offering solutions and proposals, the paper endeavors to mitigate challenges associated with implementing quality management in the construction industry and foster continuous improvement in this critical area.
Optimum Location of Outrigger Structural System in Tall Vertical Irregular RC Building Subjected to Lateral Loads
Authors: Mr. Mayur M Solanki  , Prof. Nirmal S. Mehta  , Prof. Arjun M. Butala  , Prof. Vikki S. shah
Published: August 2024

The development of tall buildings has been rapidly increasing worldwide, introducing new challenges that need to be met through engineering judgment. One effective structural system used to control excessive drift due to lateral loads is the outrigger system. This system minimizes the risk of structural and non-structural damage during small or medium lateral loads caused by wind or earthquakes. Particularly for high-rise buildings in seismically active zones, the outrigger system is a suitable structural choice. This thesis employs ETABS 21.0.0 software to analyze the performance of vertical irregularities in outrigger structures through Response Spectrum Analysis. The objective of this study is to investigate the behavior of outriggers under lateral loads, optimize outrigger location, and evaluate the efficiency of each outrigger when outriggers are used at different story heights. 30-storey three-dimensional models, with and without outrigger and belt truss systems are used subjected to wind and earthquake loads. These models are analyzed and compared to determine the story drift, story displacement, and base shear reduction associated with different outrigger and belt truss system locations. The study includes a comprehensive analysis of story displacement, story drift, and base shear of the structure.
Análise do desempenho energético e exegético de acordo com a temperatura de evaporação de um chiller de compressão de vapor
Authors: Albuquerque Carlos Eduardo da Silva , Bezerra Filho Celso Rosendo , Rodrigues Thays Nogueira , Leite Maria Deise Calou
Published: August 2024

Este artigo apresenta uma análise de eficiência energética e exergética de um sistema de refrigeração de água gelada de grande porte, um chiller, integrado a uma central de água gelada projetada para suprir a carga térmica necessária para a refrigeração do ar de um grande shopping localizado na capital do estado da Paraíba, Brasil. O chiller estudado utiliza um compressor do tipo parafuso, que opera com um motor elétrico para aumentar a pressão em uma fase do ciclo termodinâmico, resultando em um consumo significativo de energia, especialmente em operações contínuas e sob carga elevada. O estudo se concentra na redução do consumo de energia elétrica ao avaliar e identificar melhorias na operação do sistema, com base no comportamento energético e exergético. Para alcançar esse objetivo, foram realizadas simulações numéricas utilizando o software Engineering Equation Solver (EES), que permitiram representar e otimizar o funcionamento do sistema.  Além disso, o artigo apresenta dados detalhados do ciclo de refrigeração do chiller em estudo, essenciais para compreender o funcionamento do equipamento. Os resultados indicam que o evaporador teve a maior perda de exergia, porém  reduzível ao aumentar a temperatura de evaporação, melhorando a eficiência global da unidade de refrigeração e reduzindo o consumo de energia elétrica.
A Három Tenger Kezdeményezés mint a gazdasági elmaradottság és elszigeteltség ellenszere?
Authors: Szabó Georgina
Published: August 2024

A 2016 óta működő Három Tenger Kezdeményezés (3SI) a Balti-, az Adriai- és a Fekete-tenger által határolt, tizenkét európai uniós államot magában foglaló regionális kooperáció, amelynek a történelmi előzményei Józef Piłsudski egykori lengyel államfő idejére nyúlnak vissza. Az egyfajta rugalmas államfői fórumnak tekinthető együttműködés célja, hogy az infrastruktúra, az energiaügy és a digitalizáció terén javítsa a tagállamai közötti – elsősorban észak–déli irányú – összeköttetéseket. Az egyes tagországok általában – a saját geopolitikai helyzetüknek megfelelően – más-más területeit és projektjeit létesítik előnyben a kezdeményezésnek. Napjainkban viszont a 3SI szomszédságában zajló orosz–ukrán háború az energiaügy irányába terelte a figyelem jelentős részét, annak mielőbbi diverzifikálását sürgetve.
A latin-amerikai „második rózsaszín hullám” külpolitikai törekvései
Authors: Soltész Béla , Nagy Gergő Máté
Published: August 2024

A 2010-es évek végén és a 2020-as évtized elején Latin-Amerika számos országában, például Argentínában, Brazíliában, Chilében, Kolumbiában és Mexikóban is baloldali elnök került hatalomra. A két évtizeddel ezelőtti baloldali ún. „rózsaszín hullámhoz” hasonlóan a jelenlegi „második rózsaszín hullám” részes országaira is jellemző a külpolitikai autonómiára való törekvés; az ezredfordulót követő évek trendjéhez képest azonban változások is megfigyelhetőek. A tanulmány négy kiemelt témán keresztül elemzi a latin-amerikai „második rózsaszín hullám” külpolitikai törekvéseit. Ezek: az Amerikai Egyesült Államok és Kína stratégiai versengéséhez, illetve az orosz–ukrán háborúhoz való viszonyulás, a globális környezet- és klímavédelem kapcsán folytatott tevékenység, valamint a latin-amerikai integrációs folyamatban történő részvétel. Vizsgálatunk eredményeként kijelenthető, hogy a baloldali vezetésű latin-amerikai országok többsége tartózkodik a nyílt konfliktusoktól, de aktívan és tudatosan alakítja azt az „el nem kötelezett” pozíciót, amelyen keresztül napjaink globális kihívásaihoz autonóm módon tudnak alkalmazkodni.
A csehszlovákiai magyar kisebbség helyzete 1945 és 1948 között
Authors: Jeso Eszter
Published: August 2024

Az elemzés készítéséhez a (cseh)szlovákiai magyar kisebbség 1945 és 1948 közötti helyzetét vettem górcső alá. A téma feldolgozása során elsősorban szekunder kutatást alkalmaztam, majd mélyinterjúkat készítettem a mai Szlovákia különböző régióiban – Bodrogköz, Ipolyság, Párkány, Pozsonypüspöki – élőkkel, akik személyesen is átélték a jogfosztottságot, vagy a kérdés kapcsán családtörténeti kutatást végeztek. Munkám újdonságát a velem megosztott személyes tapasztalatok, visszaemlékezések adják, amelyekkel azt igyekeztem bemutatni, hogy a jogfosztó intézkedések milyen konfliktusokat eredményeztek az állam és az egyén, illetve az állam és a közösség kapcsolatában. Mindezek alapján kijelenthető, hogy a Csehországba deportáltak és a Magyarországra kitelepítettek helyzetéhez hasonlóan azoknak is számtalan nehézséggel kellett szembenézniük, akik a szülőföldjükön maradtak, mert bár továbbra is az otthonukban éltek, a megváltozott politikai és társadalmi környezet nagymértékű alkalmazkodást követelt tőlük.
Pengaruh Net Profit Margin (NPM), Return On Equity (ROE) Dan Long Term Debt To Equity Ratio (Ltder) Terhadap Harga Saham Pada PT Century Textile Industry Tbk
Authors: Ayuningtyas Dwi Maryati , Pratiwi Aliah
Published: August 2024

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh Net Profit Margin (NPM), Return On Equity (ROE) dan Long Term Debt To Equity Ratio (LTDER) terhadap harga saham pada PT Century Textile Industry Tbk. Jenis penelitian yang dilakukan adalah penelitian asosiatif. Populasi dalam penelitian ini adalah data laporan keuangan perusahaan selama 50 tahun (1972 – 2022), sedangkan sampel dalam penelitian ini yaitu data laporan keuangan perusahaan selama 14 tahun (2009 – 2022) dan teknik sampling yang digunakan adalah purposive sampling. Jenis data penelitian menggunakan data kuantitatif dengan sumber dan seknder. Tekhnik analisis data yang digunakan dalam penelitian ini adalah uji asumsi klasik, Analisis regresi linier berganda, Analisis koefisien korelasi dan koefisien determinasi, Uji signifikasi (uji t-statistika) dan uji simultan (uji F) dan alat analisis data menggunakan aplikasi SPSS. Berdasarkan pengolahan dan analisis data yang telah dilakukan dalam penelitian ini diperoleh hasil bahwa Net Profit Margin (NPM) berpengaruh terhadap harga saham, Return On Equity (ROE) tidak berpengaruh terhadap harga saham dan Long Term Debt To Equity Ratio (LTDER) tidak berpengaruh terhadap harga saham. Begitupun dengan Net Profit Margin (NPM), Return On Equity (ROE) dan Long Term Debt To Equity Ratio (LTDER) tidak berpengaruh terhadap harga saham pada PT Century Textile Industry Tbk.
Economic Growth in Bangladesh: An Econometric Investigation
Authors: Tasneem Sara , Ahmad Shamim
Published: August 2024

Bangladesh’s sustained economic growth makes it one of the fastest growing economies. Rapid Growth has been the increasing in the journey of the Bangladesh economy over the last few decades. Albeit, Bangladesh has a strong track record of growth, the economy needs increasing growth rate for future progress. Hence, it will be helpful to discover the anatomy of economic growth of Bangladesh. It is of significance to evaluate the pattern of economic growth. The study aims to investigate the pattern of economic growth in econometric nature. A decade-wise investigation has been conducted for economic growth. To investigate the pattern of economic growth, linear trend models and time series graphs have been drawn. The study reveals that Bangladesh has demonstrated the competence to achieve significant economic growth. The positive trend of per capita GDP has proved the national endeavors to growth despite the challenges and impediments in different decades. The study suggests discovery of natural resources, proper utilization and allocation of natural resources to promote economic growth in the long run. Policies should be aimed at restraining misuse and misallocation of resources. Preferential policies should be adopted to promote manufacturing sector for its remarkable contribution to growth trajectory.
E-Payment Systems, Competitive Advantage, and Customer Satisfaction in Nigerian Banking Industry
Authors: Fijabi Kolawole L. , Oladapo John T. , Kareem Opeyemi B.
Published: August 2024

The study examined the relationship between e-payment systems and competitive advantage in the Nigerian banking industry and how consumer satisfaction mediated the relationship. The population of the study is the listed banks in Nigeria. Five banks were selected from the 12 listed banks in Nigeria along with their customers. The study made use of the survey research design with the use of questionnaire and face to face interview. Data were analyzed using Excel and Statistical Packages for Social Sciences (SPSS). The Chi-square test was used to measure the strength of associations between variables. The findings from this study revealed that customers were satisfied with the current e-payment options offered by banks. The three hypotheses tested showed significant effect of independent variables on dependent variables which led to the rejection of null hypotheses hence alternate hypotheses were accepted (p-value<0.05). The researcher recommended among other things that; banks should improve their network services for the proper utilization of the bank apps. Also, security measures on e-payment services should be improved to reduce theft and online criminal activities, educate more customers and enhance swift transaction delivery and also, improve the fast services and less network downtime on the e-payment platforms.
Perceived Impact of Events on Urban Household Economy
Authors: Suwardi Doctor
Published: August 2024

Surakarta City held many international-, national-, and local-scale events in 2022. New economic resource flows from outside to inside town. Trade, hotel, culinary and production sectors and other service sectors move more quickly. What are the perceived impacts of such events on household economy? The author conducted face to face interview with 560 respondents in 56 survey location points. This size of sample meets the margin error criterion of 4.5% at significance level of 95%. Index approach was used to explain the result of research, as follows: (1) the perceived impact of events on household economy belongs to medium (fair) category at 5-Likert scale with total score of 1.777 and mean score of 3.17; and (2) 42.6% of respondents admitted that they obtained income and job more easily.
An Assessment of Determinants of Political Interests among University Students: A Case Study of Universiti Teknologi MARA Malaysia
Authors: Ahmad Faiz Yaakob Ahmad Faiz Yaakob , Padil Hazlina Mohd , Abdullah Aida , Razak Shahidah Abdul , Salleh Asri
Published: August 2024

Political interest among university students is important in shaping citizens and developing a responsible society. The realm of politics serves to shape perspective and students’ aspirations for better civic participation. Despite students having a high level of participation in politics, evidence proves that youth are also less interested in political activity. Therefore, this study aims to investigate the determinants of political interest among university students. The data for this study was gathered from a questionnaire distributed to the students of Universiti Teknologi MARA Malaysia. The questionnaire consisted of items that looked into the students’ demographic data, dependent variable such as political interests and items for independent variables such as social media, election and government performance. Findings showed that the determinants of social media, election and government performance have significant effects on the political interests of university students. The finding of this study contributes to the literature on political interest and also assists educators in drafting curricula for political studies.
Comparing the accuracy of support vector machine and the Naïve Bayes algorithm : Twitter sentiment analysis during the COVID-19 pandemic
Authors: Almansour Aseel
Published: August 2024

The COVID-19 pandemic has imposed substantial challenges globally, and many have voiced their thoughts on social media about the unfolding crisis. This study performed a sentiment analysis (SA) on Twitter posts, to assess the general public’s perspective on the pandemic. Our primary objective was to compare the performance of two frequently used algorithms, support vector machine (SVM) and Naive Bayes classification (NBC), in performing SA, which is a novel direction. The results showed that the more sophisticated SVM algorithm obtained 81% accuracy compared with the 74% achieved by NBC. Consequently, SVM may be used to assess and acquire improved public SA from Twitter.
Performance analysis of UKM-IDS20 dataset on machine learning algorithms
Authors: Pawar Kiran S. , Mohite Babasaheb J.
Published: August 2024

Machine learning algorithms are essential in classification and regression because they might a significant outcome on the accuracy of the classifier. It decreases the total of features of the traffic records. The algorithms adaptively improve their performance, reducing the processor and memory norms. This work proposes the machine learning algorithms on the available well-known mathematically proven classifiers. The proposed system for intrusion detection is tested and validated on UKM-IDS20 datasets with the suite of the classifiers. The system uses the BayesNet, Lazy Kstar, NaiveBayes, NavieBayesMultinomialText, NavieBayesUpdateable, Function LibSVM, Function SGDText, and Function Voted Perception classifier from the Bayes and function-based classifier to detect intrusion detection. The BayesNet classifier performed the higher accuracy of 99.9845% with 0.27 seconds to build the model on the dataset. The proposed system also served on the rule-based classifiers to achieve the accuracy, F1 score and built up a time to detect the intrusion detection on UKM-IDS20 datasets. The proposed system uses the rulebased machine learning algorithms JripOneR, Decision Table, Furia, PART, and ZeroR classifiers for network intrusion detection. The Furia rule-based classifier achieves the higher accuracy, F1 score, and Recall of 99.969%, 99.9775%, and 99.9888%, respectively, with 46 features of the UKMIDS20 dataset. The proposed framework achieve a superior accurateness of 99.9845% and an F1 score of 99.9887% with 1.6 second model built-up time with a Random Forest tree-based classifier on the UKMIDS20 dataset used in NIDS. The system applied on filter-based algorithms info gain (IG) with top ranked and threshold model to analyze the performance.
An intrusion detection system for industrial IoT using chi-square feature selection
Authors: Bilaskar Ved S. , Aradhye Shyam V. , Shinde Snehal S. , Kshirsagar Deepak D. , Nimbalkar Pushparaj R.
Published: August 2024

The expansion of the Industrial Internet of Things (IIoT) has led to advancements in various industries, but that has also exposed infrastructure which is critical to increasing cyber threats. In response, this paper addresses the important role of feature selection in improving the performance of Intrusion Detection Systems (IDS). Utilizing the Edge-IIoTset, this paper introduces a model which includes data pre-processing, feature selection using chi-square method, intrusion detection using machine learning and performance analysis. The experimentation reveals that the initial implementation of the PART model, using all features, yields accuracy of 97.5162% but shows a high model build-up time of 61.23 seconds. Further refinement through the chi-square feature selection method identifies a subset of the top ranked 20 features based on chi-sqauare score, achieving an enhanced accuracy of 97.5202% with a significantly reduced model build-up time of 21.54 seconds. Comparative analysis with other feature selection methods establishes the superiority of the chi-square method for the Edge-IIoT dataset.
Managing token limitations with RoBERTa-large for enhanced plagiarism detection
Authors: Sohail Md. , Thakre Kalpana
Published: August 2024

Plagiarism is a pervasive challenge in academic and digital landscapes, necessitating effective detection mechanisms. This paper presents an innovative approach utilizing advanced NLP models, specifically RoBERTa and RoBERTa-large, to enhance plagiarism detection capabilities. The seven-step methodology addresses data processing, model training, evaluation, storage, and detection, with a focus on the unique attributes of the RoBERTa-large model. Additionally, the proposed solution adeptly manages token limitations in RoBERTa-large, providing an efficient strategy for handling extended texts in plagiarism detection tasks. This paper introduces a solution to overcome token limitations in the RoBERTa-large model, enhancing plagiarism detection accuracy. The approach involves systematic text segmentation, tokenization, and result amalgamation for efficient processing of longer texts. It tackles RoBERTa-large’s constraints, ensuring optimal performance in plagiarism detection tasks.
Enhancing cognitive accessibility and social interaction in special education through AMLE
Authors: Poonia Ramesh Chandra , Saudagar Abdul Khader Jilani , Prabu P. , Khan Muhammad Badruddin
Published: August 2024

The integration of Augmented Reality (AR), Virtual Reality (VR), and the Metaverse in the Learning Ecosystem represents an innovative approach to enhance educational opportunities, emotional well-being, and overall success for students with special needs. This study introduces the Adaptive Metaverse Learning Ecosystem (AMLE), a novel model designed to address accessibility challenges, sensory sensitivities, and personalized learning for a diverse range of disabilities. Students can create unique avatars within the AMLE, fostering natural engagement in online classrooms. Real-time monitoring of students’ attention and attitudes provides valuable insights for educators and parents. Cognitive Accessibility Analysis exhibits an impressive compatibility of 96.8% with AMLE, showcasing its effectiveness in accommodating diverse cognitive profiles. When compared with traditional AR-VR approaches, Cognitive Accessibility Analysis demonstrates a high correlation of 94.2%, emphasizing the advancements offered by AMLE in cognitive accessibility. Social Interaction Analysis reveals a remarkable compatibility of 96.2% with AMLE, highlighting its prowess in fostering social engagement and collaboration among students. In contrast, the correlation with AR-VR stands at 89.7%, underscoring the superiority of AMLE in promoting meaningful social interactions.
The Type I Half Logistic-Burr XII lifetime distribution : Properties and application to survival data
Authors: Ilikkan Eda Selin , Yildirim Elif
Published: August 2024

Real life data cannot fit to the commonly known statistical model structures and therefore, different new models are needed in the modeling of this type of data. In this paper, we propose a new lifetime distribution called the Type I Half Logistic-Burr XII that can model different data from engineering and biomedicine science with its flexible structure. For this new distribution, we obtain the statistical properties including the hazard function, survival function, moment generating function, variance, quantile function, skewness and kurtosis. Moreover, the unknown parameters of the proposed type I half logistic-Burr XII distribution are obtained by using the maximum likelihood method. Application with two survival time data is presented to illustrate the effectiveness of the new distributions and it is shown to be better than the Burr XII, Topp-Leone Burr XII and Extended Weibull Log-Logistic distribution.
Exploring Stevia Leaf Residue Extracts: Antibacterial and Antioxidant Potential as Natural Food Preservatives
Authors: Iawsipo Panata , Somana Jamorn , Patthamawan Phattharaphon , Kaewmahatthai Thitiporn , Roy Shotabdy
Published: August 2024

Chemical preservatives commonly used in food preservation often pose health risks and contribute to bacterial resistance, prompting the search for safer alternatives from natural sources. Stevia rebaudiana Bertoni leaves are well-known for their role as natural sweeteners and sugar substitutes in both culinary and medicinal applications. Additionally, their extracts exhibit diverse biological activities, such as anti-diabetic, antibacterial and antioxidant properties, and have previously been confirmed for use in food preservation. Nevertheless, limited research has explored the potential of leaf residues, which are plentiful wastes from steviol glycoside extraction. These residues might still retain valuable bioactive compounds suitable for food preservation, emphasizing the need for additional investigation. Therefore, in this study, stevia leaf residues were subjected to ethanol (RE), a 50 % ethanol/water mixture (REW), and hot water (RW) extraction, and the antibacterial and antioxidant properties of 3 distinct extracts were examined. Evaluation of antibacterial activity against Staphylococcus aureus revealed significant inhibition zones for all extracts, with the REW extract exhibiting the highest efficacy, reaching up to 25.58 ± 2.54 mm. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) values of 0.0125 mg per spot and 0.2 mg per spot, respectively, were recorded for the most effective extract (REW), indicating a bacteriostatic effect. Quantification of total phenolic content (TPC) and total flavonoid content (TFC) revealed a strong correlation between phenolic compounds and the tested biological activities, antibacterial and DPPH radical scavenging. Furthermore, HPLC Orbitrap MS analysis identified 6 compounds in the extract: 1 phenolic acid, 4 flavonoids and 1 fatty amide. These identified compounds may be responsible for the observed biological activities of the stevia leaf residue extract. The results confirm the retained potential of stevia leaf residue extracts as sources of natural preservatives in the food industry, offering both antimicrobial and antioxidant benefits.
HIGHLIGHTS

The REW extract exhibits the highest antibacterial and antioxidant properties
Phenolic compounds probably contribute to their antibacterial activity
Antioxidant capacity could derive from flavonoids and phenolics
The study emphasizes the value of residual-derived compounds for food sustainability

GRAPHICAL ABSTRACT
DESDE A MENSURAÇÃO ATÉ A MESO-INSTITUIÇÃO: UM ESTUDO SOBRE A CERTIFICAÇÃO DE PRODUTOS ARTESANAIS DE ORIGEM ANIMAL/From measurement to meso-institution: a study on the certification of artisanal products of animal origin
Authors: Braz Daniel Teixeira dos Santos , De Souza José Paulo , Schiavi Sandra
Published: August 2024

O objetivo do estudo é o de compreender o papel das mesoinstituições e meso-organizações, em complementaridade com a ECM, nas possibilidades de implementação do Selo Arte no Paraná, visando a impulsionar a comercialização de produtos artesanais da agroindústria familiar, da região da AMUSEP. As proposições teóricas da tese visaram a complementariedade entre análise mesoinstitucional e as ferramentas teóricas da Economia de Custos de Mensuração (ECM), com o objetivo de melhor compreender a política pública do Selo ARTE e suas possibilidades de implementação. A proposta metodológica foi de utilizar a análise de conteúdo temática, utilizando-se de categorias mais abrangentes, a fim de preenchê-las a partir da coleta de dados e, com isso, através de uma estratégia de “análise de conteúdo temática direcionada”, onde houve um direcionamento dos assuntos abordados na entrevista a partir do que mais se destacou na conceitualização de cada tema. Para coleta de dados, neste trabalho elaborou-se inicialmente uma coleta de dados secundários e, posteriormente, utilizou-se de dados primários. Como resultado da pesquisa foi possível compreender, através dos dados, quais as mesoinstituições e meso-organizações que envolvem o Selo Arte, e como a ECM atua em complementaridade das funções mesoinstitucionais, a ausência da função de tradução no caso estudado e sua importância para compreender os conflitos e as ineficiências identificadas nas possibilidades de aplicação desta política no Paraná e na região da AMUSEP. A conclusão do estudo é a de que é possível estudar mesoinstituições e ECM em complementaridade, e de que a função mesoinstitucional de tradução quando ausente é capaz de causar conflito entre meso-organizações e ineficiência na implementação de políticas públicas.
Abstract: The objective of the study is to understand the role of meso-institutions and meso-organizations, in complementarity with the ECM, in the possibilities of implementing the ARTE Label in the AMUSEP region. The theoretical propositions aimed at the complementarity between meso- institutional analysis and the theoretical tools of the Measurement Costs Economics (MCE). The methodological proposal was to use thematic content analysis. For data collection, in this work, a collection of secondary data was initially elaborated and, later, primary data was used. As a result of the research, it was possible to understand, through the data, which are the meso-institutions and meso- organizations that involve ARTE Label how the MCE acts in complementarity of the meso-institutional functions, the absence of the translation function in the case studied and its importance to understand the conflicts and inefficiencies identified in the possibilities of application of this policy in Paraná and in the AMUSEP region.