Quantitative Methods Research Articles

Analysis of the Influence of Customer Reviews and Customer Trust on Customer Loyalty through Customer Satisfaction as an Intervening Variable

The aim of this study is to analyze influence between customer reviews and customer trust on customer loyalty with customer satisfaction as an intervening variable. This study used descriptive and quantitative methods. Sampling was determined using a non-probability sampling technique with size of sample is 130 respondents who are Shopee users in Ciayumajakuning. Data collection by questionnaires to conducted through the distribution sample, and measurements used an interval scale. Data analysis was performed using path analysis. The research results indicate that customer reviews has a negative and insignificant impact on customer satisfaction. Customer trust has a positive and significant impact on customer satisfaction. Customer reviews have a positive and significant impact on customer loyalty. Customer trust has a positive and significant effect on customer loyalty. Customer satisfaction has a positive and significant impact on customer loyalty. Customer satisfaction can not mediate the correlation between customer reviews and customer loyalty. Customer satisfaction mediating correlation in the middle of customer trust and customer loyalty. The implication companies should focus directly on managing customer reviews and experiences to effectively influence loyalty without relying on satisfaction as an intermediary. On the other hand, to enhance overall loyalty, building strong trust is crucial, as trust can increase customer satisfaction, which in turn strengthens loyalty based on that trust.

The Influence of Entrepreneurial Orientation and Market Orientation on Marketing Performance through Competitive Advantage

This study aims to determine the influence of entrepreneurial orientation and market orientation on marketing performance through competitive advantage. Respondents in this study were the perpetrators of fries onion IKM, which totals to 35 respondents. The sampling technique is saturated sampling. The path method was employed for the data analysis and the type of research is quantitative method using SPSS 23.0 program. The study result showed that: There is a positive and significant influence of entrepreneurial orientation on competitive advantage, there is a positive and insignificant impact of market orientation on competitive advantage, there is a positive and significant influence of entrepreneurial orientation on marketing performance, there is a positive and insignificant effect of market orientation on marketing performance, there is no impact of competitive advantageon marketing performance, there is no mediating effect among entrepreneurial orientation on marketing performance using competitive advantage, there is no mediating impact among market orientation on marketing performance using competitive advantage.

Citizen science and color pattern analysis indicate unreported Batesian mimicry between Neotropical snakes

AbstractBatesian mimics decrease their chance of predation by their resemblance to different, dangerous or unpalatable species but this relationship is often inferred without quantitative approaches. Snakes are notorious Batesian mimics, especially the Neotropical genus Xenodon, which comprises species that are putative mimics of venomous snakes such as coral snakes (genus Micrurus) and lanceheads (or “fer‐de‐lance,” genus Bothrops). Herein, we propose that Xenodon severus is a batesian mimic of the sympatric and highly venomous Amazonian bushmaster (Lachesis muta), the longest viper in the world, and not of lanceheads (Bothrops spp.). We compiled all available photographs of X. severus from citizen science platforms and published literature to test this mimicry through a quantitative dorsal color pattern analysis between this species and both L. muta and a lancehead Bothrops brazili. We classified georeferenced photographs as potential “mimic” or “non‐mimic” and tested whether “mimics” were found on average closer to L. muta's range centroid than “non‐mimics.” The color pattern analysis showed that X. severus is more similar to L. muta than to B. brazili. Furthermore, “mimics” were significantly closer to the centroid of L. muta. Our results suggest that X. severus is likely a mimic of L. muta and that this relationship may vary across their distribution. Our findings highlight the significant role of citizen science platforms in assessing ecological relationships and the importance of using quantitative methods such as dorsal color pattern analysis to test mimicry.Abstract in Portuguese is available with online material.

Assessing attitudes and impact of AI integration in higher education

PurposeThis study aims to examine the integration of AI in student engagement and its benefits in the learning environment.Design/methodology/approachThe study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique.FindingsThe results show that facilitating conditions and performance expectations positively affect students’ attitudes toward AI, whereas the negative impact of perceived risk is statistically weak and only marginally significant at the 90% level. On the other hand, the main findings are that attitudes significantly influence the use of AI, which consequently increases students’ productivity, performance, and self-efficacy.Research limitations/implicationsThrough the integration of new variables in the TAM and UTAUT models, steps are suggested for institutions to take to increase the acceptance and efficiency of AI.Originality/valueThis study introduces a novel approach to AI integration within higher education, presenting an innovative model that significantly enhances the discourse on AI’s tangible impacts on educational processes.

NGOs' initiatives and grassroots approach for accessing to health care services for the slum people in Dhaka

ObjectiveThis study holds significant importance as it aims to delve into the impactful NGOs’ initiatives and grassroots approaches instrumental in providing healthcare services to Dhaka's underserved slum people. It focuses on understanding how these factors influence the use and access to health services, which is a crucial aspect for researchers, policymakers, and healthcare professionals.Study designThis study was meticulously designed, utilizing a comprehensive cross-sectional mixed-methods design. By incorporating qualitative and quantitative data collection methods, we ensured a thorough understanding of NGOs’ initiatives and grassroots approaches to providing healthcare services to slum dwellers in Dhaka, thereby instilling confidence in the validity of our research for the audience.MethodsA face-to-face interview was used to survey the participants (n = 722) using semi-structured questionnaires, following a systematic sampling technique. Four focus group discussions (FGDs) were also conducted with the slum people. Binary logistic regression was performed to know NGOs’ initiatives, roles, and grassroots approach as predictors or independent variables and healthcare services as an outcome or dependent variable. The quantitative data were analyzed using SPSS version 23.0. At the same time, thematic analysis was conducted following Philip Adu's Qualitative data analysis process and Braun and Clarke's six steps of the thematic analysis system, integrating the 11 subthemes with the quantitative findings to highlight the interpretative findings of the qualitative data.FindingsMajor findings revealed that NGOs’ initiative roles and grassroots approach had a significant impact on slum dwellers’ use and access to healthcare services. The initiatives included affordable health services (OR = 22.86, 95% CI = 3.87, 35.00, P = 0.01), special health services (OR = 5.63, 95% CI = 3.36, 9.42, P = 0.00), engagement of responsible community leaders (OR = 1.72, 95% CI = 1.14, 2.59, P = 0.01), distribution of health and medicine items (OR = 1.92, 95% 2 CI = 1.40, 2.63, P = 0.01), provision of updated information to slum dwellers (OR = 1.37, 95% CI = .99, 1.90, P = 0.05), telehealth and telemedicine (OR = 1.82, 95% CI = 1.55, 2.13, P = 0.01), BCC strategy (OR = 1.26, 95% CI = 1.00, 1.57, P = 0.05), and doorstep services as NGOs’ grassroots approach (OR = 1.84, 95% CI = 1.00, 3.38, P = 0.05). Qualitative findings supported the quantitative findings through 2 main themes and 11 sub-themes, which were integrated with quantitative findings to highlight the interpretative findings of qualitative data.ConclusionsHealth services and other facilities for urban slum people through NGOs’ initiatives and grassroots approaches are highly affordable and practical, special health services with the involvement of special exceptional health professionals, community supportive services, BCC strategies, and doorstep health services may trigger the use and access to health services for slum dwellers. Results suggest and recommend capitalizing and investing in such initiatives and grassroots approaches from the government, policymakers, and donors with NGOs to find accessible, affordable health services for the unprivileged slum people.

Analysis of Factors Affecting Beef Cattle Business Income (Case in Cipari Village, Cigugur District, Kuningan Regency)

The purpose of this study is to find out the factors that affect the income of beef cattle business in Cipari Village, Cigugur District, Kuningan Regency. This research was carried out at the Beef Cattle Farm Owned by Cipari Village, Kalibaru Village, Cigugur District, Kuningan Regency, West Java Province. The time of this research will be carried out in May - July 2024. The method in this study uses a quantitative descriptive method with a survey approach. The sampling technique in this study is to use saturated sampling (census). The sample in this study is all cattle breeders in Cipari Village consisting of 17 farmers with the ownership of 2 to 4 beef cattle. The Data Analysis Techniques carried out in this study include descriptive analysis quantitative, i.e. Multiple linear regression analysis. The results of the study show that (1) The number of beef cattle, the selling price of livestock, the labor cost factor, the price of beef cattle, the feed price factor, and the price of medicines, simultaneously have a significant effect on the income of the beef cattle business in Cipari Village, Cigugur District, Kuningan Regency; (2) The most influential factor on the income of the beef cattle business is the Number of Beef Cow Factor, because the number of beef cattle has the most significant influence on income.

The development and evaluation of the Designing for Dissemination and Implementation Learning Hub

Abstract There is a growing emphasis on reducing the gap between research and routine practice. Dissemination and Implementation (D&I) science offers theories, models, and frameworks to enhance the implementation, impact, and sustainment of new programs and interventions. Few training opportunities are available that help leaders, researchers, clinicians, and staff (implementers) translate original research into practice settings in a more timely and effective manner without requiring significant time away from their primary clinical duties. To address these needs, we designed a virtual Designing for Dissemination and Implementation (D4D&I) Learning Hub that offered foundational D&I knowledge and opportunities for skill building. We developed the D4D&I Learning Hub curricula to train novice participants in the multicomponent D4D&I implementation strategy bundle when implementing new programs or innovations. The components of the D4D&I strategy bundle include (i) Pre-implementation assessment for proactive planning and multilevel contextual assessment, (ii) Multilevel partner engagement to learn what is important to end-users and obtain buy-in, (iii) Implementation and adaptations guided by a pre-implementation assessment while retaining program fidelity, and (iv) Program evaluation. We utilized a virtual e-learning platform, expert trainers, mentorship, and a Virtual Learning Collaborative to deliver the six-module curricula to support participants’ growth and success. We used quantitative and qualitative methods informed by the Kirkpatrick Evaluation Model to evaluate the D4D&I Learning Hub. Thirty-one participants completed the D4D&I Learning Hub across four cohorts. Participants found the D4D&I curricula relevant and favorable, indicating they acquired the intended knowledge and skills. In presentations of their key takeaways, participants cited a greater understanding of how to apply various D&I theories, models, and frameworks to their research, engage multilevel partners during all phases of implementation and evaluation, and assess fidelity and adaptations. Participants planned to incorporate the acquired D&I knowledge and skills in future publications, grant applications, and when implementing new programs and projects in clinical settings. The D4D&I Learning Hub provides foundational education for novice participants of D&I science. It promotes designing, disseminating, implementing, and evaluating effective programs in clinical settings. This article discusses the development and implementation of the D4D&I Learning Hub. In addition, we evaluated the first four cohorts using the Kirkpatrick Evaluation Model.

Developing Evidence to Support Policy: Protocol for the StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT)

Background All federal agencies are required to support appropriation requests with evidence and evaluation (US Public Law 115-435; the Evidence Act). The StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT) is 1 of 6 centers that help the Department of Veterans Affairs (VA) meet this requirement. Objective Working with the existing VA evaluation structure, SALIENT evaluations will contribute to (1) optimize policies and programs for veteran populations; (2) improve outcomes regarding health, equity, cost, and provider well-being; (3) advance the science of dissemination and knowledge translation; and (4) expand the implementation and dissemination science workforce. Methods We leverage the Lean Sprint methodology (iterative, incremental, rule-governed approach to clearly defined, and time-boxed work) and 3 cores to develop our evaluation plans collaboratively with operational partners and key stakeholders including veterans, policy experts, and clinicians. The Operations Core will work with evaluation teams to develop timelines, facilitate work, monitor progress, and guide quality improvement within SALIENT. The Methods Core will work with evaluation teams to identify the most appropriate qualitative, quantitative, and mixed methods approaches to address each evaluation, ensure that the analyses are conducted appropriately, and troubleshoot when problems with data acquisition and analysis arise. The Knowledge Translation (KT) Core will target key partners and decision makers using a needs-based market segmentation approach to ensure that needs are incorporated in the dissemination of knowledge. The KT Core will create communications briefs, playbooks, and other materials targeted at these market segments to facilitate implementation of evidence-based practices and maximize the impact of evaluation results. Results The SALIENT team has developed a center infrastructure to support high-priority evaluations, often to be responsive to shifting operational needs and priorities. Our team has engaged in our core missions and operations to rapidly evaluate a high-priority areas, develop a comprehensive Lean Sprint systems redesign approach to training, and accelerate rapid knowledge translation. Conclusions With an array of interdisciplinary expertise, operational partnerships, and integrated resources, SALIENT has an established and evolving infrastructure to rapidly develop and implement high-impact evaluations. Projects are developed with sustained efficiency approaches that can pivot to new priorities as needed and effectively translate knowledge for key stakeholders and policy makers, while creating a learning health system infrastructure to foster the next generation of evaluation and implementation scientists. International Registered Report Identifier (IRRID) PRR1-10.2196/59830

Human Resource Competence Effect on the Quality of Regional Work Unit of Financial Reports with the Government's Internal Control System

The purpose of this study is to examine the influence of human resource competence on the quality of financial reports of Local Government Work Units (SKPD), with the government internal control system as a moderating variable. This research adopts an explanatory approach utilizing quantitative methods. The population consists of 38 SKPD holding general functional positions responsible for financial reporting in the West Java Provincial Government. The sampling method employed is census, encompassing the entire population as the research sample. Data collection involves primary data gathered through questionnaires. Hypothesis testing utilizes Moderation Regression Model with the assistance of Statistical Product and Service Solution (SPSS) version 25. The findings of this study demonstrate that human resource competence has a positive and significant influence on the quality of SKPD financial reports. However, the government's internal control system does not enhance the influence of human resource competence on the quality of SKPD financial reports. Recommendations stemming from this research include urging the West Java Provincial Government to enhance human resource competence, particularly in accounting cycle skills and regulatory knowledge. Additionally, it is advised to strengthen the Internal Control System (SPIP) with a focus on effective communication of risk management, regular briefing sessions, workload analysis, implementation of measurable rewards and punishments, clear Standard Operating Procedures (SOP), and structured internal control monitoring.

Impact of emotional intelligence on SME employees’ performance: Mediating role of organizational citizenship behavior

This study delves into the intricate correlation between emotional intelligence and employee performance within the dynamic setting of Saudi small and medium enterprises. Acknowledging the increasing importance of emotional intelligence in the workplace, this study examines how emotional intelligence influences employee performance, with particular attention to the mediating role of organizational citizenship behavior. Employing a comprehensive research framework, the study integrates quantitative methods to analyze data collected from 248 employees across various Saudi-based small and medium enterprises. The findings indicate that high emotional intelligence enhances employee performance, with organizational citizenship behavior serving as a crucial mediator, strengthening the positive impact of emotional intelligence on performance. The results demonstrated a robust positive correlation with organizational citizenship behavior (β = 0.719***) and a moderate positive correlation with employee performance (β = 0.314***). In addition, organizational citizenship behavior played a significant positive mediating role between employee intelligence and employee performance (β = 0.397***). This suggests a nuanced interplay among emotional intelligence, organizational citizenship behavior, and overall employee performance within the specific context of Saudi small and medium enterprises. Acknowledgment The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA, for funding this research work through project number NBU-FFR- 1502-03.

A computer tool for Aiken's coefficients calculation: Applications in clinical and research settings

AbstractRationaleIn clinical and research settings, the validity and reliability of measurement instruments are crucial for reliable results. Current methods for computing validation metrics like Aiken's coefficients are often complex and error‐prone, highlighting the need for a standardized computational tool to simplify and enhance this process.Aims and ObjectivesThe objective of this study was to develop AikenCalc, a tool created to automate the calculation of Aiken coefficients. This tool provides a quantitative method for examining the validity and reliability of consensus among expert judges.MethodAikenCalc was developed with Shiny app, an R library that allows an easy‐to‐use interface and improved computational efficiency. It was validated using a convergence method by comparing the manual calculations with those obtained using AikenCalc. Additionally, to examine usability and interface, six experts evaluated their experience using AikenCalc and provided improvement feedback.ResultsAikenCalc demonstrated good convergent validity, closely aligning with the results obtained manually, and the six experts gave favorable ratings regarding the usability and interface of AikenCalc. Finally, it was shown that AikenCalc significantly reduced the time required for calculations, thanks to its user‐friendly interface.ConclusionAikenCalc represents a significant improvement in the validation of measurement instruments by automating and simplifying the calculation of Aiken's coefficients through a Shiny web application. Additionally, it fills a knowledge gap, as there is currently no similar calculator available in the field of research.

Comparative analysis of Russian language textbooks for primary school using quantitative methods

Despite the intense scientific and practical interest in assessing the textual content quality of a school textbook, there is still no transparent algorithm and objective criteria for such evaluation. This article aims to outline objective linguistic criteria for textbook text assessment using quantitative methods on the example of one of the main components of a Russian language textbook, i. e. exercise texts. The analysis was performed on the material of 8 lines of modern Russian language textbooks for primary school and 1 line of the digital educational service Yandex Textbook. The research employed the methods of automatic natural language processing, statistics, and corpus analysis of texts. As a result, we propose an algorithm for analysing the text library of a Russian language textbook according to the criteria of structural and lexical complexity, genre, stylistic and thematic diversity, and the degree of correspondence between the text library and the current state of the Russian language. The obtained results form an idea of the textual content of a modern Russian language textbook for primary school. Moreover, they highlight the specific features of text selection for modern traditional and digital Russian language textbooks and resources. Finally, the research outcomes raise questions concerning the methodological optimality of certain authorial decisions when compiling the text library of a textbook. The results of the study will be useful to authors of school textbooks on the Russian language and specialists in educational and methodological work.

Evaluating video and hybrid group consultations in general practice: mixed-methods, participatory study protocol (TOGETHER 2)

Background General practice is facing an unprecedented challenge in managing the consequences of the pandemic. In the midst of a policy drive to balance remote and in-person service provision, substantial workload pressures remain, together with increasing prevalence of long-term conditions, and declining staff numbers and morale. To address these challenges, some practices in the UK have been delivering video and hybrid group consultations (VHGCs) providing clinical care to multiple patients at the same time. Despite positive initial findings and enthusiasm, there are still gaps in our understanding of the influence VHGCs have on patient experience, healthcare utilisation, quality, safety, equity and affordability. Objectives To generate an in-depth understanding of VHGCs for chronic conditions in general practice, surface assumptions and sociotechnical dynamics, inform practice and extend theorisation. Methods Mixed-methods, multi-site research study using co-design and participatory methods, from qualitative, quantitative and cost-related perspectives. WP1 includes a national, cross-sectional survey on VHGC provision across the UK. In WP2 we will engage patients and general practice staff in co-design workshops to develop VHGC models with emphasis on digital inclusion and equity. In WP3 we will carry out a mixed-methods process evaluation in up to 10 GP practices across England (5 sites already running VHGCs and 5 comparison sites). Qualitative methods will include interviews, focus groups and ethnographic observation to examine the experiences of patients, carers, clinical and non-clinical NHS staff, commissioners and policy-makers. Quantitative methods will examine the impact of VHGCs on healthcare utilisation in primary and secondary care, patient satisfaction, engagement and activation. We will also assess value for money of group and individual care models from a health economics perspective. Conclusions We aim to develop transferable learning on sociotechnical change in healthcare delivery, using VHGCs as an exemplar of technology-supported innovation. Findings will also inform the design of a future study.

Analysis of the Behavior of Young Couples in Buying a House Using Sharia Contracts

This study aims to analyze the direct and indirect influence among variables such as attitudes, subjective norms and behavioral control perceptions on the decision-making of young couples in buying houses based on sharia contracts with interest variables as the intervening variable. This study used a quantitative method used by distributing questionnaires to 250 young couples. This study used a side purposive sampling method. This study applied a a path analysis to examine the direct and indirect influence of independent variables on dependent variables through intervening variables. The results of the study showed that attitudes, subjective norms and perception of behavioral control influenced people’s interests to buy a house using sharia-based contracts. Furthermore, attitudes affect decision-making, while subjective norm variables and behavioral control perceptions do not have a significant effect on decision-making. Nevertheless, interests have a positive and significant effect on decision-making. Based on the results of the path analysis, interests could mediate attitudes, subjective norms and perception of behavior control in making decisions in taking houses based on sharia contracts. The results of this study imply that sharia-based banks in Indonesia need to provide a continuous literacy program toward sharia-based mortgage products to increase customers’ interests so that they know the advantages of using sharia-based banks, especially in terms of house mortgage financing products.

Development of Digital Teaching Materials for Indonesian Phonetics with Sound Association Design for Basic Level BIPA Arabic Learners

This research aims to develop digital teaching materials for Indonesian phonetics designed with sound association to support basic-level BIPA learners. This research method used research and development with the 4-D model, which consists of Define, Design, Develop, and Disseminate stages. The research instruments included pronunciation ability tests, learner needs questionnaires, BIPA teacher interview instruments, and validation sheets from experts and practitioners. The data analysis techniques used were qualitative and quantitative methods and Gregory's validity test with validity assessment criteria using the Likert Scale 1-4. The validation results indicated that the materials were "feasible" with some necessary revisions. After making the suggested revisions, the revised materials were piloted with basic-level BIPA learners. Feedback from these learners rated the materials as "very feasible", indicating a positive reception. The final product is a digital flipbook equipped with audio pronunciation guides and illustrations that can be accessed online. This format provides a flexible and engaging alternative for improving Indonesian pronunciation for Arabic-speaking BIPA learners, making it a valuable addition to the available teaching resources.

The Role of the U.S. Dollar in Global Trade Finance: A Study of Its Dominance and Future Prospects

This paper digs deep on what reason has led the U.S. dollar to be a dominant force for years mainly due to its stability, liquidity, and greater usage within international markets. It has made it the world's reserve currency did not just serve as an enabler for far-flung international trades and investments but also led to the establishment of the United States in terms of standing in economic and geopolitical standing. Historical factors concerning the dollar's increasing popularity over time are addressed in this paper-from the post- WWII establishment of the Bretton Woods system to the moments well after the death of the gold standard. It further explores shifting threats to the supremacy of the dollar and key drivers that might change the financial environment in the world. These are the economic ascension of emerging markets, particularly China, seeking to internationalize the yuan; extension of the BRICS bloc, composed of Brazil, Russia, India, China, and South Africa, and their joint thrust toward depolarization. Digital currencies and blockchain technology provide an emerging alternative that would allow countries to bypass traditional banking systems or lessen their dependency on the dollar when making cross-border transactions. The discussion explores how geopolitical stress - whether a trade war or the imposition of sanctions, as examples - may push the shift away from the dollar, based on a focus on increasing foreign reserves' diversity and insulation against the over-reach of the US. In addition, the paper went through how adjustments in global financial regulation, technological innovation, and central banks' policies may have an impact on the safe-haven status the dollar enjoys. Through a combination of both quantitative and qualitative methods, this paper examines the continued relevance of the dollar at the international level in terms of trade and finance. Indeed, it envisions possible scenarios: the continued reign of the dollar, the emergence of rival currencies, and the new politics of global economic crises over currency dynamics. But if nothing else, it provides a more refined and multi- dimensional view of what is going on with the dollar today and what may go on in the future in an increasingly multipolar world economy. These insights will be critical when policymakers, financial institutions, and global businesses negotiate their way through uncertainty in changing currency landscapes. Keywords: U.S. dollar, global trade, finance reserve, currency economic, uncertainty emerging economies, digital currencies, geopolitical shifts currency competition.

Psychological safety in online interdisciplinary student teams: What teachers can do to promote an effective climate for knowledge sharing, collaboration and problem-solving

Interdisciplinary complex problem-solving relies on psychologically safe teamwork where individuals feel confident to speak up with unique knowledge, or voice dissent. Existing studies on psychological safety (PS) have mainly concentrated on developing diagnostic tools and categorising the antecedents to psychologically safe interactions in face-to-face teams. Few focus on the establishment and maintenance of psychological safety in online teamwork, let alone in the context of now-prevalent online learning in higher education. Leveraging the natural experiment in online teaching and learning brought about by COVID-19 lockdowns, we conducted a preliminary study that combines quantitative and qualitative methods to examine the extent to which, and how, undergraduates experience psychological safety in virtual teams. Students reported experiencing relatively high psychological safety in their collaborations, yet the results also suggest that specific elements of instructional design were needed to support the establishment and maintenance of psychological safety in the online environment. These measures include extra provision for timetabled group work, demonstrating openness and curiosity, designing assessment tasks that necessitate diverse contributions and normalising constructive failure through iterative feedback. Pedagogical tools and practices related to these measures can help online student teams build and sustain psychologically safe collaboration to optimise problem-solving and innovation.

The Influence of Murabahah, Musyarakah, Mudharabah and Qardh on the Profitability of Islamic Commercial Banks

This research aims to determine how the effect of Murabahah, Musyarakah, Mudharabah and Qardh financing on profitability at Islamic Commercial Banks for the period 2017-2021. The research method used in this research is quantitative research method. The data collection method was carried out through documentation using secondary data taken from the financial statements of each Islamic commercial bank in 2017-2021. The sampling method used purposive sampling technique with the analysis technique used was multiple linear regression using the SPSS version 26 application. The results showed that none of the Murabahah variables had an effect on profitability. Musyarakah variable has a negative and significant effect on profitability. Meanwhile, Mudharabah and Qardh variables have a positive and significant effect on profitability. The managerial implication is that Murabahah as the type of financing most often used by Islamic banks provides a relatively stable fixed income because it uses the principle of a fixed margin agreed upon in advance. Musharakah involves joint capital participation between the bank and the customer, where the bank gets a share of the profits or bears the losses according to the agreement. The bank acts as the capital owner (shahibul maal) who hands over funds to the business manager (mudharib) and gets a share of the profits.

Development of A Workplace Learning Model to Improve Skills Competency of Vocational School Students

This research aims to develop a workplace learning model to improve the catering skills of tourism vocational school students by building a conceptual foundation that considers the industrial situation. This development research uses Design-Based Research (DBR) comprising planning, learning interactions, and evaluation stages for students, supervisors, and instructors. This study analyzes data using qualitative and quantitative descriptive methods. This research produces industrial practical learning tools (WPL) in the form of guidebooks for teachers, instructors and students. How to study in industry, the implementation process, ideal criteria, and completion of study contracts are outlined. Increasing student catering skills competency through industrial learning based on a measurable field approach. How students can absorb, adopt tacit and explicit knowledge in industry is a value in itself. Research findings and concepts can be used for further development so that the quality of vocational education graduates can be considered.

A simple and efficient method for betalain quantification in RUBY-expressing plant samples

The RUBY reporter system has demonstrated great potential as a visible marker to monitor gene expression in both transiently and stably transformed plant tissues. Ectopic expression of the RUBY reporter leads to bright red pigmentation in plant tissues that do not naturally accumulate betalain. Unlike traditional visual markers such as β-glucuronidase (GUS), luciferase (LUC), and various fluorescent proteins, the RUBY reporter system does not require sample sacrifice or special equipment for visualizing the gene expression. However, a robust quantitative analysis method for betalain content has been lacking, limiting accurate comparative analyses. In this work, we present a simple and rapid protocol for quantitative evaluation of RUBY expression in transgenic plant tissues. Using this method, we demonstrate that differential RUBY expression can be quantified in transiently transformed leaf tissues, such as agroinfiltrated Nicotiana benthamiana leaves, and in stable transgenic maize tissues, including seeds, leaves, and roots. We found that grinding fresh tissues with a hand grinder and plastic pestle, without the use of liquid nitrogen, is an effective method for rapid betalain extraction. Betalain contents estimated by spectrophotometric and High-Performance Liquid Chromatography (HPLC) analyses were highly consistent, validating that our rapid betalain extraction and quantification method is suitable for comparative analysis. In addition, betalain content was strongly correlated with RUBY expression level in agroinfiltrated N. benthamiana leaves, suggesting that our method can be useful for monitoring transient transformation efficiency in plants. Using our rapid protocol, we quantified varying levels of betalain pigment in N. benthamiana leaves, ranging from 110 to 1066 mg/kg of tissue, and in maize samples, ranging from 15.3 to 1028.7 mg/kg of tissue. This method is expected to streamline comparative studies in plants, providing valuable insights into the effectiveness of various promoters, enhancers, or other regulatory elements used in transgenic constructs.