bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS KEKUATAN STANDAR SAMPING MOTOR MENGGUNAKAN STEEL CARBON DENGAN BEBAN 1500 N MENGGUNAKAN METODE FINITE ELEMEN ANALYSIS (FEA)
Authors: Ziad Nur Alif
Published: August 2023

Standar motor adalah salah satu komponen yang penting dalam sistem penggerak motor yang bertanggung jawab untuk menompang dan menjaga kesetabilan motor. Pada standar motor sering terjadinya korosi dan kebengkokan. Baja karbon merupakan salah satu jenis baja paduan yang terdiri atas unsur besi (Fe) dan karbon (C). Karbon Tinggi (High Carbon Steel) mengandung kadar karbon antara 0,60% - 1,7% C [3]. Salah satu metode yang digunakan untuk menganalisis kekuatan pada standar yaitu metode finite elemen analisys (FEA keamanan) pada standar samping motor. Tujuan dari penelitian ini adalah untuk menganalisis kekuatan standar menggunakan bahan steel carbon dengan ukuran diameter 2cm dengan total Panjang 24,1m. Pada simulasi standar ini, terdapat dua titik dengan asumsi beban yang berbeda pada masing-masingnya. Pembebanan yang di berikan pada masing – masing titiknya sebesar 112 N Dengan total beban 224 kg. Jumlah beban tersebut didapat dari hasil beban motor 109 kg, badan pengendara 60 kg dan penumpangnya 55 kg. Hasil Dan Pembahasan Dari hasil penelitian ini adalah menampilkan hasil analisis simulasi   pada software Autodesk Inventor 2021 yang meliputi perhitungan von misses (tegangan), displacement (regangan), Safety Factor (factor keamanan) pada standar samping motor. Dengan material steel carbon dengan ukuran diameter 2cm dengan total Panjang 24,1m yang diberi beban sebesar 2240 N  menghasilkan nilai safety factor 0,02 ul yang menandakan bahwa desain dan material yang digunakan tidak aman karena jauh dari standar nilai yang dimana nilai standar safety factor adalah 1,2 - 2,5 ul
Evaluation of Technical Shrinkage of Express Extension PL 03 and LW 09 at PLN Lhoksukon Using ETAP Software
Authors: Putri Raihan , Pratama Dheo , Hasibuan Arnawan , Abdul Muthalib Muchlis , Sitti Nurfebruary Nanda
Published: August 2023

The electricity distribution system generally starts from the generation, transmission, and distribution systems. In the distribution system, there are two channels, namely primary distribution with a voltage value of 20 kV and secondary distribution with a voltage of 220/380 V. Distributing electrical energy often experiences problems, one of which is the occurrence of energy losses during the distribution of electrical power to customers. Energy losses are energy losses due to technical and non-technical factors. This study evaluates energy losses due to technical factors in the express extension PL 03 and LW 09 PT PLN (Persero) ULP Lhoksukon. The method used to assess energy losses due to technThe calculation results show that theological factors with ETAP software simulations and more detailed technical shrinkage calculations, namely by calculating conductor and transformer shrinkage on the repeater. From the results of the ETAP simulation, it is obtained that the voltage losses of the PL 03 and LW 09 Lhoksukon ULPs still meet the standards according to SPLN 1: 1995 for a voltage of 20 kV where the limits set are +5% maximum and -10% minimum of the system voltage. The drop Voltage of PL 03 Extension is 7.6%, and LW 09 Extension is 8.25% of the nominal voltage of 20 kV. From the calculation results, of Drop Voltage of the PL 03 Repeater is 5.5%, and the LW 09 Repeater is 8.5% of the nominal voltage of 20 kV.
Emotional Intelligence: A tool to create Organizational Citizenship Behavior and minimize service sabotage behaviours in the service sector of Pakistan
Authors: Younas Sohail , Mirza Farhan , Hafeez Nauman , Ghafoor Muhammad Mudasar
Published: August 2023

Emotional intelligence helps to predict and control the changing behaviour of employees. Our study focuses on customer service sector employees, organizational citizenship behaviour, and service sabotage. The study also explained the effect of emotional intelligence on OCB with the mediation role of emotional labour. In addition, moderation role of EI between emotional dissonance and service sabotage. The time horizon was longitudinal and descriptive; the geographical area included Gujranwala, Lahore, and Sialkot. The study's findings show a significant positive association of emotional intelligence with organizational citizenship behavior. Emotional intelligence significantly moderates the strength of the relationship between emotional dissonance and service sabotage.
FIGURAÇÕES DO FEMININO NA EMBLEMÁTICA HISTÓRIA DA ILUSTRE MAGALONA
Authors: Mota Quintela Vilma
Published: August 2023

O artigo em tela contém as linhas gerais de uma pesquisa em fase inicial, a ser desenvolvida em torno de um romance antigo, popularizado, na Europa, a partir do século XVI. Situado na época das Cruzadas Cristãs, o romance da bela Magalona – ou a “História da princesa Magalona” para apenas citar um dos títulos com os quais ele se tornou conhecido em língua portuguesa– teve diversas versões e reimpressões em França, Espanha e Portugal. De existência longeva, esse romance está entre um dos mais populares dentre os títulos enviados ao Brasil por livreiros portugueses por volta do século XVIII, encontrando-se, ainda hoje, no repertório da literatura de cordel em circulação no país. Esta investigação se situa no locus interdisciplinar dos estudos sobre a poesia oral e a narrativa popular tradicional ou tradicionalizada, e desenvolve-se como trabalho de pós-doutoramento no CICS.NOVA – Centro Interdisciplinar de Ciências Sociais da Universidade Nova de Lisboa.
Editorial V4N2
Authors: Lousada Isabel
Published: August 2023

Editorial V4N2
As Pensadoras vol. 01
Authors: Fraga Machado Rita de Cássia
Published: August 2023

O livro As Pensadoras vol. 1, é o projeto editorial de estreia recentemente no Brasil (Editora As Pensadoras, 200 páginas, disponível em formato físico e e-book), que reúne nove artigos, com apresentação assinada pela Coordenadora pedagógica da Escola As Pensadoras e fundadora da editora As Pensadoras.
Anália Vieira do Nascimento, Uma Portoalegrense no Almanaque de Lembranças Luso-Brasileiro
Authors: Albert Zinani Cecil Jeanine
Published: August 2023

O propósito deste artigo é apresentar a escritora porto-alegrense Anália Vieira do Nascimento, destacando sua contribuição para o Almanaque de Lembranças Luso-Brasileiro, editado em Portugal entre 1851 e 1932. Anália, uma das onze senhoras gaúchas que participaram do Almanaque, teve uma atuação proeminente, tendo em vista que publicou durante 22 anos, de 1871 a 1893. Além da exposição de dados biográficos, procede-se à exemplificação das diferentes modalidades de textos publicados: passatempos (charadas, enigmas e logogrifos), poemas líricos e o único texto em prosa. Também são comentadas algumas epígrafes de diferentes produções, como também a recepção que a obra da autora teve em âmbito nacional e internacional.
A NARRATIVA TRADICIONAL COMO RUÍNA NO CONTO BOLA DE SEBO, DE GUY DE MAUPASSANT
Authors: Santos Nelma
Published: August 2023

A partir do conto Bola de Sebo, escrito por Guy de Maupassant (1850-1893), pretendemos apresentar o modo como o autor trabalha com dois planos narrativos, a saber: o primeiro plano, em que narra uma história no contexto da guerra Franco-Prussiana, século XIX, e o segundo plano em que o autor nos remete ao poema romanceado da tradição oral, intitulado Il était un petit navire. Essa narrativa, que é apenas mencionada numa frase, configura-se como uma espécie de ruína ou fragmento que sustenta a estruturada narrativa de primeiro plano ou superfície. Considerando que temos duas estruturas narrativas, optamos pelo método comparativo entre as estruturas narrativas como método de análise e assim chegamos à conclusão de que a tese de Ricardo Piglia se confirma naquilo que concerne a todo conto sempre contar duas histórias, bem como reconhecemos a importância da ruína ou fragmento como matéria nobre para criação literária, conforme observou Walter Benjamin sobre sua importância na criação barroca.
Fatty Liver: A Homoeopathic Approach
Authors: JS Sreevidhya
Published: August 2023

An unhealthy lifestyle causes a variety of health concerns in today's world. A fatty liver, or accumulation of fat in the liver, is one such ailment. The liver is the body's second largest organ. Fatty liver, commonly known as Fatty Liver Disease, is a reversible illness in which huge vacuoles of triglyceride fat build in liver cells through the steatosis process. This review article provides detailed information about fatty liver disease and the role of general management in its therapy.

Keywords: Life style, Obesity, Liver, Fat, Fatty Liver, Homoeopathy.
Eksistensi Integrasi Ekonomi ASEAN Pada Aspek Economic Security di Indonesia Tahun 2020-2021
Authors: Fauziah Siti Ghina , Padmi Made Fitri Maya , Agustin Dinar Ayu Chandra
Published: August 2023

Pandemi Covid-19 secara nyata memberikan gambaran bahwa ancaman keamanan manusia, dalam hal ini adalah keamanan kesehatan, dapat memberikan dampak yang besar pada aspek sosial-ekonomi suatu negara. Ketahanan Ekonomi atau Economic Security menjadi dampak yang paling dirasakan setelah dampak Kesehatan. Pandemi ini membawa dampak ekonomi masyarakat yang dapat dilihat dari penurunan Pendapatan Domestik Bruto suatu negara, meningkatnya angka pengagguran dan angka kemiskinan di suatu negara, termasuk Indonesia. Berbagai upaya nasional dan internasional dilakukan pemerintah untuk menanggulangi hal ini. Upaya regional sesama negara ASEAN juga dilakukan melalui kerangka kerja sama Integrasi Ekonomi ASEAN. Karya tulis ini mencoba untuk menjelaskan kerja sama negara-negara ASEAN dalam penanggulangan dampak pandemi terutama dalam hal pemulihan economic security di Indonesia di tahun 2020 hingga 2021.
Aspek Biopolitik Kebijakan Indonesia Dalam Menangani Pandemi Covid-19
Authors: Al Farauqi Mohamad Dziqie Aulia , Dzulrifani Dzulrifani
Published: August 2023

Based on the World Health Organization report, Coronavirus disease 2019 (COVID-19) is a respiratory tract infection that has become an epidemic in approximately 213 countries around the world, including Indonesia. Before the first confirmed case of COVID-19 in Indonesia that the response given by the government was still not acting, it was seen how unaware the Indonesian government was in responding to the pandemic. Then, the situation in Indonesia is getting worse with a very significant increase in the number of cases occurring. Finally, the government also focused on handling this disease outbreak. In this case, the government provides recommendations and public policies for the community to prevent the spread of COVID-19. Through this study, the author aims to analyze the biopolitical aspects of handling COVID-19 by the Government of Indonesia. Therefore, the biopolitical aspect that focuses on Indonesia's policies in dealing with COVID-19 will be used as an analytical framework in this study. In addition, global health governance is also used as a reference to support the author's statement. To explain the actions of the Government of Indonesia, this study will use qualitative research with a focus on literacy observations related to this issue.
Advantages and Disadvantages of Online Public Relations from The Lens of Internal Practitioners: Evidence from Jordan
Authors: R. Alyaqoub , N.A. Abdul Rahman , A. Alsharairi
Published: August 2023

This study explored the benefits and disadvantages of using online PR from the perspectives of university PR practitioners, employing in-depth face-to-face interviews with 22 PR managers from public and private Jordanian universities based on a purposive sampling technique. This research's main objective was to determine what these practitioners felt were the benefits and drawbacks of online PR. The data were analysed using NVivo 12 software to develop themes. The findings showed that the PR practitioners conceptualised online PR as a part of the modern technology revolution, effective and sustainable in this era. They said that online PR offered several benefits like potential cost savings, the ability to spread information, resolve student-related problems, and raise their organisation's visibility. However, they were concerned that online PR could lead to disadvantages like added costs because of the need to hire online experts. Among the recommendations drawn from the results are that strategies and their concomitant tactics must be developed to reach specific publics, qualified employees with the necessary skills must be hired and their skills updated with frequent training, employees must be incentivised to achieve their best performance, organisations should monitor social media to address and solve problems of their key publics, and metrics must be created to measure the impacts of online PR quantitatively.
Word-of-Mouth Communication and Customer Patronage Behaviour Towards Smartphones
Authors: S.E. Glory , E.J. Edim , B.I. Inyang , H.A. Eko
Published: August 2023

Words are perceived to be powerful, especially in the viral digital age of today. This study focused on investigating the effect of word-of-mouth communication on customer patronage behavior towards smartphones. The specific factors examined were customer referral, celebrity endorsement, and social media. A cross-sectional survey research design was employed to gather primary data from 276 smartphone users, who responded to a 5-point Likert scale questionnaire. The collected data underwent analysis using descriptive statistics and inferential statistics, specifically multiple linear regression, conducted in the Statistical Package for the Social Sciences (SPSS 23). The results indicated that customer referral, celebrity endorsement, and social media exerted significant positive influences on customer patronage behavior towards smartphones. Consequently, we suggest that smartphone marketers should implement incentive programs, capitalize on celebrity endorsements, and utilize social media platforms to attract new customers and foster positive recommendations for smartphone brands. From the limitations of this study, we proposed theoretical directions for future research.
The impact of ChatGPT on blended learning: Current trends and future research directions
Authors: Alshahrani Ali
Published: August 2023

Designing sustainable and scalable educational systems is a challenge. Artificial Intelligence (AI) offers promising solutions to enhance the effectiveness and sustainability of blended learning systems. This research paper focuses on the integration of the Chat Generative Pre-trained Transformer (ChatGPT), with a blended learning system. The objectives of this study are to investigate the potential of AI techniques in enhancing the sustainability of educational systems, explore the use of ChatGPT to personalize the learning experience and improve engagement, and propose a model for sustainable learning that incorporates AI. The study aims to contribute to the body of knowledge on AI applications for sustainable education, identify best practices for integrating AI in education, and provide insights for policymakers and educators on the benefits of AI in education delivery. The study emphasizes the significance of AI in sustainable education by addressing personalized learning and educational accessibility. By automating administrative tasks and optimizing content delivery, AI can enhance educational accessibility and promote inclusive and equitable education. The study’s findings highlight the potential benefits of integrating AI chatbots like ChatGPT into education. Such benefits include promoting student engagement, motivation, and self-directed learning through immediate feedback and assistance. The research provides valuable guidance for educators, policymakers, and instructional designers who seek to effectively leverage AI technology in education. In conclusion, the study recommends directions for future research in order to maximize the benefits of integrating ChatGPT into learning systems. Positive results have been observed, including improved learning outcomes, enhanced student engagement, and personalized learning experiences. Through advancing the utilization of AI tools like ChatGPT, blended learning systems can be made more sustainable, efficient, and accessible for learners worldwide.
Investigating the role digital transformation and human resource management on the performance of the universitie
Authors: Purwanto Agus , Purba John Tampil , Bernarto Innocentius , Sijabat Rosdiana
Published: August 2023

This study aims to analyze the effect of transformational leadership (TL) on organizational citizenship behavior (OCB), the relationship between TL and performance, TL and IWB, Leader member exchange (LMX) and OCB, LMX and performance, LMX and innovative work behavior ( IWB), organizational commitment (OC) and OCB, OC and performance, OC and IWB, digital transformation (DT) and OCB, DT and performance, DT and IWB, QWL and OCB, QWL and performance, QWL and IWB, OCB and performance, and the relationship between IWB and performance. The method of this research is quantitative and the population in this study were 341 private universities while the number of samples used in this study were 181 private universities. The sampling technique in this study used multistage random sampling. In this study the study used a seven-point Likert scale. The study uses SmartPLS software as a data processing tool. Validity testing is applied to all question items in each variable and there are several stages of testing that will be carried out, namely through convergent validity testing, average variance extracted (AVE) testing, and discriminant validity testing. There is a positive and significant relationship between TL and OCB, a positive relationship between TL and the performance of private universities. There is also a positive and significant relationship between TL and IWB, a positive and significant relationship between LMX and OCB. However, there is no significant relationship between LMX and university performance. There is a positive and significant relationship between LMX and IWB, a positive and significant relationship between OC and OCB, a positive and significant relationship between OC and university performance, and a positive and significant relationship between OC and IWB. There is also a positive and significant relationship between DT and OCB, an insignificant relationship between DT and university performance. This means that DT cannot directly affect performance. There is an insignificant relationship between DT and IWB, a positive and significant relationship between QWL and OCB. There is a non-significant relationship between QWL and university performance. There is a positive and significant relationship between QWL and IWB as well as between OCB and university performance and also between IWB and university performance.
The influence of financial literacy, digital literacy, digital marketing, brand image and word of mouth on the z generation's interest in Islamic banks
Authors: Suparno Darsita , Tjahjawulan Indah , Martodiryo Suratno , Anshary A. Hafiz , Mulyono Mulyono , Badrian Badrian , Indrariani Eva Ardiana , Suwondo Tirto
Published: August 2023

This study aims to examine the effect of digital literacy, digital marketing, and word of mouth on the interest of the z generation in Islamic banks. Researchers used primary data obtained from distributing questionnaires to students and students with a total sample of 460 respondents. In this study the sample acquisition technique used a purposive sample with the criteria for respondents being in the age range of 17 years to 25 years. The research method uses a quantitative approach and PLS analysis techniques assisted by SmartPLS version 3.0. The variables in this study include exogenous variables in the form of digital literacy, financial literacy, digital marketing, brand image and word of mouth as well as exogenous variables namely interest in Islamic banks. The results of this study indicate that financial literacy, digital marketing and word of mouth have an influence significant to the interest of the z generation in Islamic banks. Meanwhile, digital literacy and brand image have no significant effect on the z generation's interest in Islamic banks. The results of this study can be used as reference material in conducting further research, especially to determine Islamic banking marketing techniques for the z generation. For further research, it is expected to develop this research by adding other variables such as religiosity, location, level of service and other factors as well as other methods of research such as further and in-depth interview techniques with respondents so that more varied information results are obtained.
The effects of information and communication technology on village development performance
Authors: Furqana Andi Chairil , Karim Fikry , Yuniar Latifah Sukmawati , Gunarsa Arif , Erwinsyah Erwinsyah
Published: August 2023

The purpose of this study is to examine how Information and Communication Technology (ICT) affects village development performance, which is measured through the Developing Village Index (VDP). This index is made up of three dimensions: Social, Economic, and Environmental Resilience Indexes. By using quantitative methods and cross-sectional data from 1,842 villages in the Central Sulawesi Province in 2021, the study concludes that ICT has a positive impact on the development performance of villages overall. The study found that the quality of internet signals and the number of cell phone users, as well as the presence of technology devices and internet facilities in village offices, have a positive influence on village development performance. However, the existence of internet facilities for the public has no effect on village development performance, including economic, social, and environmental development in rural areas. By examining the effectiveness of both the community and the village government's utilization of ICT, this study contributes to understanding the impact of ICT in improving village development performance. To reduce the digital divide and continue to support rural development, it is important to enhance ICT facilities and infrastructure for rural communities and improve the quality of their implementation governance. Furthermore, to support the delivery of public services and the implementation of village development programs, both the government and Regional Government need to encourage the effectiveness of the use of ICT.
The impact of a regional brand ambassador and social media advertising on brand trust and brand loyalty of Lazada in Indonesia
Authors: Aisyah Muniaty
Published: August 2023

This research analyzes the impact of a regional brand ambassador and social media advertising on the brand trust and brand loyalty of Lazada, an online marketplace in Indonesia, directly and indirectly. The statistical technique is SEM-PLS to analyze 100 data using convenience sampling. The results show that social media advertising impacts brand trust directly and indirectly, and only brand trust impacts brand loyalty, while the regional brand ambassador does not impact brand trust or brand loyalty directly and indirectly. It implies that Lazada needs to do in-depth research to analyze the right brand ambassador that suits customers' preferences and produces more engaging advertising content to increase brand trust and build brand loyalty.
The impact of business intelligence system (BIS) on quality of strategic decision-making
Authors: Abu-AlSondos Ibrahim A.
Published: August 2023

This study aims to investigate the impact of Business Intelligence Systems (BIS) on the quality of strategic decision-making in top-level management. The independent variables in this study are Data Quality, Data Visualization, and BI Management, while the dependent variable is the Quality of Strategic Decision-Making. Additionally, the study explores the moderator variable, BI Scope, to further understand the relationship between BIS and the quality of strategic decision-making. By providing valuable insights into the relationship between BIS and the quality of strategic decision-making, this study contributes to the existing body of knowledge on business intelligence and strategic decision-making. The findings show that BI Management, BI Scope, Data Quality, and Data Visualization have substantial and favorable correlations with the quality of strategic decision-making. Effective BI Management techniques contribute to higher decision-making quality, emphasizing the necessity of BI resource management. The study also underlines the importance of BI Scope as a moderator variable, demonstrating its impact on the connection between BI and quality of decision-making. In addition, the research shows that Data Quality and Data Visualization have a considerable influence on strategic decision-making quality. Using effective visualization tools and ensuring high-quality data improves the results of decision-making processes. The interaction impact between BI Scope and Data Quality, on the other hand, was determined to be non-significant.
Factors affecting the adoption of e-wallets to enter cashless society: An integration approach
Authors: Hashim Nor Hazlina , Chan Tak Jie , Li Panfeng
Published: August 2023

The Malaysian government actively encourages the development of e-wallets in Malaysia and set a goal to enter a cashless society by 2050. However, the mobile technology that has swept the world does not seem to be developing smoothly in Malaysia. The objective of the study is to investigate the determinants that impact the user behavior of Malaysians in adopting e-wallets and proposes integration theoretical models, namely UTAUT 2, Diffusion of Innovation, and self-efficacy to support the study. Data were collected among 253 Malaysian e-wallet users in the Federal State of Kuala Lumpur. The survey (online questionnaire) was distributed to respondents via QR codes and links as data collection. The PLS-SEM was utilized to test hypothetical relationships. The findings of the study demonstrated that compatibility, hedonic motivation, habits, and self-efficacy have a significant relationship with the user behavior of e-wallets. Self-efficacy was found to be the strongest predictor in influencing the use behavior of e-wallets. Conclusion, implications, and suggestions for future study were also discussed.
Literature review on the information system for digitization of royal history and Waqf
Authors: Sudrajat R. , Ruchjana Budi Nurani , Abdullah Atje Setiawan , Budiarto Rahmat
Published: August 2023

There has been a significant increase in the study of the history and culture of historical artifacts, whether they take the form of cultural heritage or Waqf. A literature review of web-based information systems was conducted for digitizing historical preservation and Waqf. Papers were sourced from various databases, including Publish or Perish, which produced 1043 journals, 370 articles, and 673 items from reputable sources, Google Scholar, and Crossref, respectively. The focus of the literature review was the information system for digitizing history and Waqf and integrating ontology databases. This literature review study aims to trace the evolution of study objects related to history and endowments. The results showed that most studies emphasized the user-understanding aspect of digitization, while the technical aspect was focused on using cutting-edge technology, such as 3D and virtual reality.
The effect of financial literacy and green innovation technology on green economic sustainability in emerging countries
Authors: Beny Beny , Wendy Wendy , Saleh Mustaruddin , Giriati Giriati
Published: August 2023

As battery electric vehicles become more prevalent in emerging markets, it is important that policymakers and the public consider their potential to contribute to the reduction of greenhouse gas emissions. This study explores the link between financial knowledge, attitude and green economic sustainability. The study, which was conducted in Indonesia, collected data about 155 individuals. Through a PLS-SEM analysis, the study revealed that financial knowledge and green innovation were related to the attitude toward sustainability. The study also found that green innovation was associated with the economic sustainability of the country. However, it did not find any significant relationship between financial knowledge and green investment. The study revealed that financial literacy is very important for consumers to adopt sustainable practices. It can help them make informed decisions when it comes to the use of battery electric vehicles. This study was conducted after the Indonesian government stated that it would promote the use of green products. Innovation and green investment can help improve the economic sustainability of a country by increasing people's green attitudes and knowledge.
Cybersecurity effectiveness: The role of internal auditor certification, risk assessment and senior management
Authors: Gunawan Budi , Ratmono Barito Mulyo , Kurniasih Denok , Setyoko Paulus Israwan
Published: August 2023

This study aims to analyze and examine the influence of internal auditor certification, risk assessment, and the role of senior management on the effectiveness of cybersecurity for internal auditors who have experience in cybersecurity and information technology. This research method is a quantitative method, data analysis uses structural equation modeling (SEM) with SmartPLS 3.0 software tools. The population of this study is internal auditors who have experience in cybersecurity and information technology. The sample for this study was 480 respondents who were determined by the snowball sampling method. The research data was obtained from an online questionnaire which was distributed via social media. The questionnaire was designed using a Likert scale of 1 to 5. The stages of data analysis were validity test, reliability test and significance test. The results of this study indicate that internal auditor certification has a positive effect on cybersecurity effectiveness, risk assessment has a positive effect on cybersecurity effectiveness, and the role of senior management has a positive effect on cybersecurity effectiveness.
The effect of big data on financial reporting quality
Authors: Eleimat Dheifallah , Ebbini Mohannad Mohammad Al , Aryan Laith Abdallah , Al-Hawary Sulieman Ibraheem Shelash
Published: August 2023

The current manuscript aimed to explain the impact of big data on the financial reporting quality of the industrial sector in Jordan. To achieve the manuscript goals and validate hypotheses, a field study was conducted by distributing a questionnaire to 325 financial managers in industrial companies listed on the Amman Stock Exchange during a specific period. Gathered data were analyzed using structural equation modeling (SEM). The manuscript concluded that the big data dimensions, including variety, volume, and velocity, had a positive impact on financial reporting quality. Therefore, a set of recommendations were provided to managers of the industrial companies in Jordan to put in place an extensive data governance system to as-sure data quality, security, privacy, and compliance. To ensure the integrity and dependability of financial reporting, define data ownership, create data quality standards, and develop processes for data access, use, and preservation.
Decision making on the use of a shariah-based e-wallet by Indonesian consumers
Authors: Aisyah Muniaty , Sesunan Yunia Silvia
Published: August 2023

This study integrates the Technology Acceptance Model (TAM) with the Theory of Planned Behavior (TPB) to analyze consumers' decisions to use a Shariah-based e-wallet in Indonesia. With convenience sampling, a hundred samples were calculated by using SEM-PLS analysis. It found that only perceived trust and intention influenced consumers' decisions to use a Shariah-based e-wallet, while perceived ease of use, usefulness, enjoyment, attitude, subjective norm, and perceived behavioral control did not. Perceived ease of use and usefulness influenced consumers' intentions but not the decision to use Sharia-based e-wallets. Thus, intention does not necessarily describe actual behavior. Consumers feel that the Sharia-based e-wallet is not as easy and useful as other e-wallets they mostly use, like Go-pay, Shopee-pay, and OVO. Other implications and some recommendations are discussed further in this study.
Passenger perception of commuter line service quality in Indonesia
Authors: Priyanto Kukuh Setyo , Ricardianto Prasadja , Gunawan Aang , Ikawati Ikawati , Ra-harjo Efendhi Prih , Cahyono Sunit Agus Tri , Tursilarini Tateki Yoga , Hidayatulloh Achmad Nururrochman , Purnama Akhmad , Endri Endri
Published: August 2023

This research aimed to study the opinion and perspectives of Commuter Line passengers in Indonesia by using 18 attributes of service quality. There still needed to be more understanding about which service attributes were less satisfying and which were more pleasing to the Commuter Line passengers in the area of Jakarta and its surroundings. This research used factor analysis and Principal Component Analysis to select among the 18 Commuter Line service quality variables with the Varimax and Ordered Logit model rotation method. The number of samples used was 384 respondents from Commuter Line passengers in Jakarta and its surroundings. The result of factor analysis stated that the 18 attributes of service quality with three factors were the main attributes of service quality being used, namely the factor of station facilities and passenger behavior, the factor of ticket and security system, and they had reasonably strong correlations. The key finding of this research was that some service quality attributes, such as the crowd or density of trains, station stair facility, station lift facility, station seat facility, and shelter, were perceived as the attributes of service that were less satisfying. This research provided valuable insights into important factors affecting the opinion and perspective of Commuter Line passengers in Jakarta and its surroundings.
The effect of excessive use of social networking sites on customer loyalty, mediating role of perceived usefulness, essential information, behavioral intention
Authors: Siagian Hotlan , Tarigan Zeplin Jiwa Husada , Basuki Ribut , Basana Sautma Ronni
Published: August 2023

The use of social media for young people has encouraged communication and socialization with other users massively and excessively. Besides, activities by the community of social media users have allocated much time. This condition exposed productivity as a challenge in the place and family communication. This study explores the effect of excessive use of social networking sites on customer loyalty with the mediating role of perceived usefulness, behavioral intention, and essential information. This research focused on adult-young people who use social networking media daily. Data collection used questionnaires designed with a five-point Likert scale and distributed online through Google Forms link. The respondents were given rewards through internet charge vouchers to encourage them, respondents, to complete the questionnaires. The questionnaire was distributed successfully to 932 prospective respondents during 2019-2023 through social media (WhatsApp, Line) and e-mail. Four hundred seventy-two (472) respondents were considered to meet the sample criteria as an adult-young group—data processing using Partial Least Square (PLS) with SmartPLS Software version 4.0. The results found that excessive use of social networking sites positively affects perceived usefulness, essential information, and behavioral intention. Perceived usefulness positively influences essential information and behavioral intention. The essential information increases behavioral intention and customer loyalty. The results also found that behavioral intention positively impacts customer loyalty. The practical contribution of research to young adults can determine the top priority in using social networking sites so as not to interfere with work activities and good relationships between family members. The film industry can promote products through social media effectively and efficiently. The theoretical contribution of research by enriching marketing behavior theory and technology acceptance model to improve user welfare and comfort.
Antecedents of intention to use electronic auctions in Jordan: Empirical study on the mediating role of users' attitudes
Authors: Almajali Mohammad Reyad , Almajali Dmaithan , Majali Thaer , Masadeh Raed , Al-Okaily Manaf
Published: August 2023

The present study attempted to determine the elements affecting users' opinions about using electronic auctions in Jordan. The study's target audience was Jordanian university students. We randomly selected 600 students from three public universities in Jordan after 600 users from each of the three universities responded to the surveys. The primary data for this study were gathered using a specially created questionnaire that was based on earlier research. SEM software (smart PLS 4.0.8.3) was employed in the evaluation of data. This study looked into the factors that led Jordanians to use electronic auctions and found four indirect significant relationships and ten direct significant relationships. First, user attitudes and independent variables (usefulness, awareness, ease of use, and techno trust) are directly significant antecedents of utilizing e-auctions in Jordan. The use of e-auctions is related to the independent variable in five direct and significant ways: usefulness, awareness, ease of use, digital divide, and techno trust. Thirdly, there are direct and statistically significant correlations between user attitudes and the independent variables (usefulness, awareness, ease of use, and techno trust). Fourthly, there appears to be a clear and significant link between user attitudes and the intention to use e-auctions. Fifth, there are four mediated meaningful indirect correlations between the intention to use e-auctions and the independent variable. The findings of the current study are based on a number of factors that affect the demand for e-commerce in Jordan. They also include some recommendations for academics and decision-makers in e-marketing affairs. The current study also contributes in identifying challenges and suggestions that would overcome obstacles related to shopping operations through e-auctions. The factors examined in this study have been the subject of prior research. The data gathered in this study are valuable to Jordanian decision-makers and web developers, as the data can be used to create efficient policies and strategies to launch work on electronic auction platforms.
Adequate legal rules in settling metaverse disputes: Hybrid legal framework for metaverse dispute resolution (HLFMDR)
Authors: AlLouzi Adel Salem , Alomari Khaled Mohammad
Published: August 2023

The term “metaverse” refers to a virtual reality setting where users may engage in sustained and immersive interactions with other users and digital information. The metaverse offers new potential for entertainment, education, commerce, sociability, and creativity; therefore, it is anticipated to play a significant role in the future of the digital economy. However, the metaverse presents additional difficulties in resolving conflicts that can develop between its users, producers, and providers. Intellectual property rights, privacy, contract enforcement, fraud, harassment, and cybercrime are some of the concerns that may be raised in these conflicts. The existing legal system for settling these conflicts is disjointed and insufficient since it does not consider the metaverse’s unique qualities and complexity. This study investigates the present legal framework to provide fair and effective conflict resolution in the metaverse. It then establishes tenable fundamentals within the context of scientific and legal foundations. and propose a theoretical model named Hybrid Legal Framework for Metaverse Dispute Resolution (HLFMDR).
Exploring the relationship between robot employees' perceptions and robot-induced unemployment under COVID-19 in the Jordanian hospitality sector
Authors: Alzoubi Sharaf , Zoubi Mohammad Al
Published: August 2023

The topic of robots is gaining traction in both academic discourse and popular media due to their growing prevalence in the hospitality sector. The hospitality industry is likely to encounter practical challenges in adopting the increased use of robots. The primary objective of the present research was to conduct an empirical investigation into a theoretical framework that explores how employees view robot-caused unemployment, with particular attention given to their perceptions of robot adoption. The study utilised structural equation modelling to analyse data obtained from 401 service employees in Jordan through online questionnaires. The findings indicate that the perception of robot-induced unemployment among employees is significantly influenced by their social skills, perceived risk, awareness, and trust in using service robots. The present study established a theoretical framework for investigating user perceptions of robot-induced unemployment within the particular setting of hospitality robots. The findings offer valuable insights for guiding future development and research efforts in the hotel service robot industry as well as informing marketing strategies for hotel managers. Ultimately, these efforts may contribute to the sustainable growth of service robots and associated sectors, including the hotel service sector.
Bayesian hierarchical spatiotemporal modeling for forecasting diarrhea risk among children under 5 in Bandung city, Indonesia
Authors: Jaya I Gede Nyoman Mindra , Chadidjah Anna , Andriyana Yudhie , Kristiani Farah , Fauziah Anggi Nur
Published: August 2023

The main objectives of this research are to identify significant spatial and temporal compo-nents associated with diarrhea and provide an accurate forecast. Using data from the Ban-dung city health surveillance system, the analysis reveals a decreasing trend in both the number of incidences and the estimated relative risks of diarrhea in most districts. Key fac-tors contributing to diarrhea variation include temporally structured, spatially structured, and unstructured effects of space-time interaction Type I. No clear seasonal pattern is observed in diarrhea incidence among children under five, emphasizing the need for consistent vigilance and preventive measures. Spatial clustering was observed in the eastern and western parts of Bandung city. The forecasting model predicts a continued decline in diarrhea incidence and relative risk throughout 2022.
Employing CNN ensemble models in classifying dental caries using oral photographs
Authors: AlSayyed Ayat , Taqateq Abdullah Mahmoud , Al-Sayyed Rizik , Suleiman Dima , Shukri Sarah , Alhenawi Esraa , Albsheish Ayyoub Mahmoud
Published: August 2023

Dental caries is arguably the most persistent dental condition that affects most people over their lives. Carious lesions are commonly diagnosed by dentists using clinical and visual examination along with oral radiographs. In many circumstances, dental caries is challenging to detect with photography and might be mistaken as shadows for various reasons, including poor photo quality. However, with the introduction of Artificial Intelligence and robotic systems in dentistry, photographs can be a helpful tool in oral epidemiological research for the assessment of dental caries prevalence among the population. It can be used particularly to create a new automated approach to calculate DMF (Decay, Missing, Filled) index score. In this paper, an autonomous diagnostic approach for detecting dental cavities in photos is developed using deep learning algorithms and ensemble methods. The proposed technique employs a set of pretrained models including Xception, VGG16, VGG19, and DenseNet121 to extract essential characteristics from photographs and to classify images as either normal or caries. Then, two ensemble learning methods, E- majority and E-sum, are employed based on majority voting and sum rule to boost the performances of the individual pretrained model. Experiments are conducted on 50 images with data augmentation for normal and caries images, the employed E-majority and E-sum achieved an accuracy score of 96% and 97%, respectively. The obtained results demonstrate the superiority of the proposed ensemble framework in the detection of caries. Furthermore, this framework is a step toward constructing a fully automated, efficient decision support system to be used in the dentistry area.
The impact of promotion on purchase intentions in Jordan: Video game industry
Authors: El-Okah Ayman , Al-Haddad Shafig , Sharabati Abdel-Aziz Ahmad
Published: August 2023

This study is done to identify the impact of promotion on the purchase intentions of video games in Jordan. The independent variables used to test promotion were trailers, discounts, influencers/streamers, and social media. The data were collected by using a survey designed on google forms sent or using a Quick Response (QR) code to random gamers in Jordan. 129 people responded to the survey. The data were coded on SPSS and reliability, validity, and correlation among variables were confirmed, then the hypotheses were tested by multiple regressions. The researcher found a statistically significant impact of promotional tools on purchase intentions of the video gaming industry in Jordan, where trailers have the highest significant positive effect on purchase intentions, followed by social media, then influencers/streamers, while discounts do not significantly affect purchase intentions of video games in Jordan. Some limitations and recommendations for future research have been provided at the end of the research.
Hybrid SSA-TBATS to improve forecasting accuracy on export value data in Indonesia
Authors: Setiawan Setiawan , Fajar Muhammad , Yasin Hasbi , Lande Chrisandi R.
Published: August 2023

This research aims to present the Hybrid SSA-TBATS approach as an alternate forecasting technique that does not need specific assumptions or requirements such as stationarity, linear or nonlinear process, and normality. This analysis used Indonesian exports (in millions of USD) from January 1993 to July 2022. The findings of this research reveal that the Hybrid SSA-TBATS method outperforms SSA and TBATS in forecasting accuracy and defines the window length and number of groups. Therefore, it is highly recommended based on MAPE since it does not need any information on the characteristics of the data to be forecasted.