Analysis Techniques Research Articles

Relationship between learning agility and innovative work behavior among undergraduate student of University of Indonesia

Background: Previous research has shown that university graduates in Indonesia face significant skill gap and behind from any country, spesifically among ASEAN countries, in term of innovation ability. Innovative ability can be developed for university students with the right variables. Thus, it might help student to focus on their self-development. Method: Quantitative and correlational research conducted to know how learning agility might related to innovative work behavior. Innovative Work Behavioral Scale developed by Janssen (2000) and Learning Agility Assessment Scale, developed and published by Gravett and Caldwell (2016), were used in study. Both scales were adapted and translated so they would fit with the undergraduates’ context. Result: In result, 539 of minimum Second year/3rd semester University Indonesia students were chosen. The statistics analysis technique used for hypothesis testing was Pearson’s Correlation. The result showed that learning agility is positively correlated with the innovative work behavior, r(537) = 0,61, p < 0,001. Conclusion: After this study, the result might be used as one of the references for university to develop program where student could develop their learning agility and become more innovative. Novelty/Originality of this study: This study reveals a significant relationship between learning agility and innovative work behaviour among Indonesian students, providing new insights into developing innovation capabilities at the higher education level. The findings offer an empirical basis for universities to design programs that enhance graduate competitiveness in the ASEAN context.

MSMEs for economic independence based on local wisdom

Background: The aim of this research is to analyze the empowerment of women in MSMEs for Economic Independence Based on Local Wisdom. Method: The type of research is analytical survey research. This type of data uses qualitative data. Data sources consist of primary data and secondary data. Data collection techniques using interviews, documentation studies, and observations. The data analysis technique uses descriptive methods with a qualitative approach. Findings: Based on the results of the analysis and discussion, empowerment of the existence of female MSME actors, members of the Jempiring Women's Farmers Group (KWT), Badung Regency, uses the local wisdom of Tri Hita Karana. Conclusion: This is considered capable of increasing economic independence to help family finances with education costs, able to help carry out home renovations and repairs, able to improve the health of all family members because family finances are already good. Novelty/Originality of this article: The novelty of this research lies in the empowerment model of women's MSMEs that integrates the principles of local wisdom Tri Hita Karana with a modern economic approach. This model combines entrepreneurship training, strengthening social networks, and preserving local cultural values ​​to create a sustainable and competitive MSME ecosystem while maintaining cultural identity.

예비교사를 대상으로 한 서비스러닝의 전공 융합 및 실천공동체적 특징 분석

Purpose: The purpose of this study was to identify the significance of the characteristics of major convergence and community of practice on pre-service teachers' service-learning activities. Methods: To identify the characteristics of major convergence and community of practice in pre-service teachers' service-learning experiences, the interview data of six pre-service teachers who participated in a local problem-solving project at University A were analyzed using a topic modeling analysis technique. Results: The team that grew into a community of practice showed a reciprocal relationship in terms of smooth communication, willingness to take on insufficient roles, co-leadership, positive perspectives on major convergence, and attempts to converge majors in a transdisciplinary manner. It was also confirmed that pre-service teachers experienced problem-solving approaches from different academic backgrounds through the convergence of their majors and deepened their professionalism in community management through collaboration within the community of practice. Conclusion: Service learning for pre-service teachers needs to be incorporated into teacher education curricula so that pre-service teachers can contribute to real-world community problems and systematically learn how to solve educational problems through interdisciplinary collaboration.

ANALISIS CERITA “KITTY DAN KOMPETISI LAMPION” SEBAGAI ALTERNATIF BAHAN AJAR MEMBACA SASTRA DI SD

Literature learning is less interested by elementary school students. One of the reasons is that teaching materials are less attractive to students because they only used textbooks provided by the government. This research aims to describe the children’s story “Kitty dan Kompetisi Lampion” as an alternative literature reading teaching material in elementary school. This research used a qualitative approach with content analysis methods. Data comes from the children’s story book “Kitty dan Kompetisi Lampion” by Paula Harisson. Data was collected through documentation studies. Researchers as a human instrument. The data analysis technique uses data collection, data reduction, and drawing conclusions. The results of the research foound that the children’s story “Kitty dan Kompetisi Lampion” by Paula Harisson has both intrinsic such as theme, storyline, background or setting, characterization, messages, point of view, conflict; and extrinsic story elements consisting of the values of the story and the author’s background. Kitty’s personality structure consists of the id which is realized through the process of imagining and shown through feelings; the ego which is shown in reasoning; and the superego through action, words and advice which reflects society’s moral values. The story “Kitty dan Kompetisi Lampion” is eligibility criteria for teaching materials in terms of language, psychology, and cultural background. The linguistic dimension shows that this book is suitable for high class students. From a psychological dimension, this story book develops character values for its readers which are present in an interesting way. From the cultural background dimension, the culture shown in this book is appropriate with Indonesian culture.

The Applications of Social Media for Luxury Brand Management — A Narrative Review

Purpose — The emergence of social media and digital technologies has reformed the competitive aspect for firms that quickly acknowledged the increasing relevance of social media platforms for business purposes social media is emerging as an important part of our lives. Luxury brands are gaining popularity as the customers are getting richer. In this paper, we did an extensive review of the research papers to understand the applications of social media for luxury brands management. We also studied the data analysis techniques used in those research papers. Methodology — The papers related to the applications of social media for luxury brand management were collected using related keywords. We searched the papers with the keywords such as “Social media marketing” and “Luxury brands”, “Social media consumer engagement” and “Luxury brands”, “Social media consumer response” and “Luxury brands” and “Social media communication” and “Luxury brands” in Scopus database. Findings — Marketing and customer response are the two main categories of the applications of the social media for luxury brand management. Regarding data analysis techniques, traditional data analysis models such as structural equation modelling, regression, etc. have been used more as compared to data mining, text mining, etc. process. Originality — We propose a new categorisation of different research papers related to applications of social media for luxury brand management. We also did an extensive study of the data analysis techniques to conclude that traditional data analysis models have been mostly used in this research area. The recommendations to social media marketing professionals related to luxury brands have been presented to improve the effectiveness of social media campaigns for luxury brands. We also suggest challenges and future research directions in this area.

The Effect of Land Area and Labor on Production of Coffee in Indonesia

Indonesia is an agricultural country where most of the population works in the agricultural sector. Therefore, the agricultural sector contributes significantly to its economic growth. This study aims to determine the effect of land area and labor production of coffee in Indonesia. The study uses secondary data. Data analysis technique in this study is multiple linear regression with data panels in 32 provinces of high production coffee in Indonesia from 2017 until 2021. Dependent variable is coffee production and the independent variables are land and labor. Results show that land area has a positive and significant effect on coffee production. It means that raising the land area significantly increases the coffee production. However, labor has a positive but not significant effect on coffee production. This study is expected to help Indonesian policy-makers for drafting policies to increase coffee production in Indonesia. Keywords: coffee production, land area, labor, panel

Revealing Public Accountability For Village Financial Management Based On Community Partnership Foundations In Pematang Serai Village, Langkat District

This research aims to find out how accountable financial management is villages implemented by the government of Pematang Serai Village, Langkat District as well to find out how community empowerment is carried out by the Village government Pematang Serai, Langkat District. This study used qualitative research methods. The data collection technique used in this research is the observation method, interviews and documentation. The data analysis technique used in this research is qualitative data analysis techniques. The data analysis components used are data reduction, data display, and conclusion drawing. The results of the research conducted stated that the financial management stage carried out by Pematang Serai Village has been carried out in accordance with Permendagri No. 20 In 2018.

Evaluating Predictive Financial Analysis Techniques, Impacts, and Challenges in Nigerian Banking Institutions

This study examined the techniques, impacts, and challenges of predictive financial analysis in Nigeria Banking Institutions. The Nigerian Banking Institutions is the life wire of the nation's economy. They play a vital and massive role in the nation's economic development and financial system. The role of these institutions remains a catalyst for a nation's growth and development. Despite the importance of predictive financial analysis in improving financial performance, accurately forecasting financial outcomes, mitigating the impact of financial crises, and making informed decisions, many Nigerian banks still need help to adopt and use this technique effectively. As a result, this study aims to examine the predictive financial analysis, evaluate the techniques, impact, and challenges, and recommend possible solutions that can help address the challenges faced by the banking sector. Methodology: The study adopted a descriptive survey research design. A simple random sampling technique was used to select 7 respondents representing five banks (Access Bank, Fidelity Bank, First Bank, Wema Bank, and Zenith Bank). A self-designed online questionnaire (SDOQ) was used for data collection. The data collected were analyzed using descriptive statistics (percentage). Results: Banks: 2 of the respondents, representing 28.6%, work at Access Bank; 1 of the respondents, representing 14.3%, works at Fidelity Bank; 2 of the respondents representing 28.6%, works at First Bank,1 respondent representing 14.3%, works at Wema Bank and the remaining 1 representing 14.3% works at Zenith bank. Role of Respondents: AHOP, Compliance Officer, Data Administrator, Data Analyst/Analytics, Relationship Manager and Team Lead. Analysis techniques: 3 banks representing 42.9% rely on the time series analysis technique, 2 banks representing 28.6% rely on the Regression analysis technique and 2 banks representing 28.6% rely on the machine learning algorithms technique. Satisfaction Level: 3 respondents representing 42.9% are very satisfied with current predictive analytics capabilities, while 4 respondents representing 57.1% are moderately satisfied with current predictive analytics capabilities. Discussion: The study's findings revealed that the primary challenges faced by banks in implementing predictive financial analysis techniques include data quality issues, regulatory constraints, lack of expertise, and integration with existing systems. Similarly, most banks rely on time series analysis to forecast future financial trends. Conclusion and Recommendations: Based on the findings in this study, it was concluded that the primary challenges faced by banks in implementing predictive financial analysis techniques include data quality issues, regulatory constraints, lack of expertise, integration with existing systems, and others. Similarly, most banks rely on the time series analysis technique to forecast future financial trends. The findings in this study also revealed that respondents perceive the impact of technological advancements to improve accuracy significantly. It was therefore recommended that a robust data management system practice be established to ensure the accuracy and consistency of data. Also, beyond time series analysis, banks should explore other predictive analytics techniques to enhance forecasting accuracy.

Lipidomics in Plants Under Abiotic Stress Conditions: An Overview

Lipids are ubiquitous macromolecules that play essential roles in several metabolic processes in plants, such as primary and secondary metabolism, energy storage, and lipid signaling, also being major constituents of membranes. Considering their importance, lipid contents, proportion, and composition are widely modulated in response to environmental conditions, which is even more important under unfavorable conditions such as abiotic stresses. In recent years, technological advances have allowed for the analysis of the global lipid profile, also known as lipidomics, which has emerged as a powerful tool for the comprehensive analysis of the modulation and roles of lipids under different conditions. This review provides a current overview of plant lipidomics research, covering the different lipid classes found in plants, analytical techniques, and the main lipid-related responses under temperature, water, salt, alkali, heavy metal, nutrient deficiency, light, and oxidative stress.

Integration of business intelligence and marketing: Enhancing corporate reputation in the financial services sector

This investigation extends into the intricate fabric of customer-based corporate reputation within the banking industry, applying advanced analytics to decipher the nuances of customer perceptions. By integrating structural equation modeling, particularly through SmartPLS4, we thoroughly examine the interrelations of perceived quality, competence, likeability, and trust, and how they culminate in customer satisfaction and loyalty. Our comprehensive dataset is drawn from a varied demographic of banking consumers, ensuring a holistic view of the sector’s reputation dynamics. The research reveals the profound influence of these constructs on customer decision-making, with likeability emerging as a critical driver of satisfaction and allegiance to the bank. We also rigorously test our model’s internal consistency and convergent validity, establishing its reliability and robustness. While the direct involvement of Business Intelligence (BI) tools in the research design may not be overtly articulated, the analytical techniques and data-driven approach at the core of our methodology are synonymous with BI’s capabilities. The insights garnered from our analysis have direct implications for data-driven decision-making in banking. They inform strategies that could include enhancing service personalization, refining reputation management, and improving customer retention efforts. We acknowledge the need to more explicitly detail the role of BI within the research process. BI’s latent presence is inherent in the analytical processes employed to interpret complex data and generate actionable insights, which are crucial for crafting targeted marketing strategies. In summary, our research not only contributes to academic discourse on marketing and customer perception but also implicitly demonstrates the value that BI methodologies bring to understanding and influencing consumer behavior in the banking sector. It is this blend of analytics and marketing intelligence that equips banks with the strategic leverage necessary to thrive in today’s competitive financial landscape.

Assessing the Probability of Winning a Point in Men’s Padel: A Comprehensive Analysis

Background—The number of studies on padel has grown significantly in recent years, reflecting the growing importance of the sport. However, more research is still needed on a comprehensive analysis of performance indicators. This study had a double objective: on the one hand, to analyze the probability of winning a point as a function of several variables and, on the other hand, to develop a match analysis. Methods—A total of 980 points from the Menorca 2020 World Padel Tour Master Final Men’s category were examined using observational methodology. The participants were the eight pairs who competed in the final rounds of the tournament. To obtain the results, various analytical techniques were used, such as descriptive analysis and the chi-square test, with a significance level of p < 0.05. Results—The results indicated that most points were initiated on the first serve (88.5%) and were most often won by the serving pair (59.3%). Short rallies predominated (42.2%), with the serving pair most likely to win the point (71%). As the rally became longer, the probability of winning the point decreased, reaching 57% for medium rallies and 47% for long rallies. Almost half of the points were completed in less than 10 s, with an average point duration of 15 s. Most points were finished from the middle area and near the net (41.4% and 36%, respectively), mainly by smashes (25.9%) or volleys (28.9%), with the cross-court trajectory being the most effective. Conclusions—Short rallies (0–6 shots) were the most common, with an average point duration of approximately 15 s. Most points ended with a shot from the middle of the court, using a volley or a smash with a cross-court trajectory. There is a clear relationship between proximity to the net on the final shot and an increased probability of winning the point.

Elemental profiling of agricultural soil in Hoshiarpur utilizing analytical techniques.

Our study aimed to assess the soil quality in Punjab's Hoshiarpur district through a meticulous analysis of nutrient and elemental composition. Using a variety of analytical techniques, including Neutron Activation Analysis (NAA), external Particle-induced Gamma-ray Emission (PIGE) an Ion beam analysis Technique, and energy-dispersive X-ray fluorescence (ED-XRF), we delved into soil characterization for 22 agricultural soil samples in the Punjab region. Within the NAA framework, utilizing the Pneumatic Carrier Facility and the self-serve facility at Dhruva reactor in Mumbai, a brief 1-min irradiation procedure identified pivotal elements-Na, Mg, V, Al, Mn, and K. Conversely, an extended neutron irradiation process of approximately 4h within the self-serve facility enabled the estimation of nearly 12 elements, including Rare Earth Elements (REEs), Transition elements, and other significant elements. The external PIGE technique quantified low Z elements (Na, Mg, Al, and Si), contributing to our analytical arsenal. Rigorously validating both NAA and PIGE methodologies, we compared results meticulously against established geological standard reference materials-specifically USGS RGM-1 and USGS AGV-1.Instrumental in elemental analysis, ED-XRF spectroscopy fortified our investigative endeavors by quick assessment of ten crucial elements. The elemental analysis revealed notable accumulations of Mn and Zn in the soil, surpassing the suggested permissible limits, whereas Co, Cr, and Pb were found to be within the recommended thresholds set by WHO/UNEP. Beyond elemental profiling, our study extended to estimate the accumulation levels of various elements utilizing ecological risk factors such as Contamination Factor, Potential Ecological Risk Index, Pollution Load Index, and Geoaccumulation Factor. Our findings highlighted significant accumulation of REEs including La, Sm and Yb.. This evaluation sheds new light on the interplay between soil composition and environmental health, emphasizing the need for advanced accessible agricultural technologies to prevent and forecast contaminant discharge in arable soil. This commitment aligns with our broader goal of advancing sustainable practices in soil management.

Surfactant-assisted hydrothermal synthesis of FeVO4 nanoparticles for supercapacitor applications.

Due to their high capacitance, stability, and conductivity, binary transition metal oxides, such as iron vanadate, have the potential to be ideal electrode materials for supercapacitors. The effect of surfactants such as Polyethylene glycol (PEG), cetyltrimethylammonium bromide (CTAB), and thioglycolic acid (TGA) on the formation and properties (structural, morphological, optical and vibrational) of iron vanadate nanoparticles has been investigated using various analytical techniques. The results show that the surfactants significantly influence the morphology of the prepared FeVO4 nanoparticles. The nanoparticles prepared using TGA show a nano-mat like structure with the smallest particle size, and they were subjected to Cyclic Voltammetry analysis, showing a specific capacitance of 48 Fg−1 and demonstrating potential to be used for supercapacitors.

Zinc oxide nanoparticles derived from Penicillium griseofulvum mitigate DMBA/TPA-promoted mice skin carcinogenesis by modulating NF-ĸB associated signalling.

This study investigates the synthesis of zinc oxide nanoparticles using Penicillium griseofulvum (ZnONPs-PG) and their potential role in preventing DMBA/TPA-induced skin cancer. The synthesis process involved using a 1-mM zinc acetate dihydrate as a precursor in P. griseofulvum. Various analytical techniques, including FTIR spectroscopy, UV-Vis, TEM, XRD, and DLS, were utilized to characterize the ZnONPs. The efficacy of ZnONPs-PG was then evaluated in a DMBA/TPA-induced skin cancer model. Mice were treated topically with DMBA/TPA in acetone (200μL) over 2weeks, with treatments continuing for 20weeks. Results showed 100% tumor occurrence, histological changes, elevated lipid peroxidation (LPO) levels, and decreased antioxidant levels in DMBA/TPA-treated mice. However, topical application of ZnONPs magnificently reverted the tumor occurrence, histological changes, elevated malanoldehyde and hydrogen peroxide levels; decreased antioxidant levels in DMBA/TPA-treated mice. ZnONPs-PG treatment suppressed the increased levels of inflammatory markers (COX-2, iNOS and NF-κB,) and cell proliferation markers (Cyclin-E1, Cyclin D1, VEGF, TGF-β1) exposed mice. In addition, ZnONPs-PG treatment decreased the DMBA/TPA-induced anti-apoptotic Bcl-2 protein and increasing the expression of pro-apoptotic markers (Bax and caspase 3) in skin tissues. Thus, ZnONPs-PG may prevent skin carcinogenesis through its potent antioxidant properties and inhibiting NF-κB-mediated inflammatory and proliferation pathways.

The impact of population influx on infectious diseases – from the mediating effect of polluted air transmission

The global population influx during the COVID-19 pandemic poses significant challenges to public health, making the prevention and control of infectious diseases a pressing concern. This paper aims to examine the impact of population influx on the spread of infectious diseases, with a specific emphasis on the mediating role of air pollution in this process. A theoretical analysis is conducted to explore the relationship between population influx, air pollution, and infectious diseases. Additionally, we establish a series of econometric models and employ various empirical tests and analytical techniques, including mediation effect test, threshold effect test, and systematic GMM test, to evaluate our hypotheses. The results indicate that: (1) Population influx directly and indirectly impacts infectious diseases. Specifically, population influx not only directly elevates the risk of infectious diseases, but also indirectly increases the incidence rate of infectious diseases by intensifying air pollution. (2) The impact of population inflow on infectious diseases exhibits regional heterogeneity. Compared to central and western China, the eastern regions exhibit a significantly higher risk of infectious diseases, exceeding the national average. (3) External factors influence the relationship between population influx and infectious diseases differently. Personal income and medical resources both help mitigate the risk of infectious diseases due to population influx, with medical resources having a more substantial effect. Contrary to expectations, abundant educational resources have not reduced the risk, instead, they have exacerbated the risk associated with population influx. This paper provides a scientific basis for formulating effective strategies for the prevention and control of infectious diseases.

Moderates of job relevant information: Budget participation, information asymmetry, autonomous budget motivation and budgetary slack

The purpose of this research is to determine the effect of budget participation, information asymmetry, and autonomous budget motivation on budgetary slack directly or moderated by job relevant information. The population in this research is all village officials in Gianyar Regency who are involved in preparing the village budget in Gianyar Regency. Sampling in this research was carried out by purposive sampling with a sample size of 192 people. Research data was collected through the results of distributing questionnaires and analyzed using the Partial Least Square/PLS analysis technique. The research results state that budget participation has a positive effect on budgetary slack. Information asymmetry has no effect on budgetary slack. Autonomous budget motivation has a negative effect on budgetary slack. Job relevant information is unable to moderate the influence of budget participation on budgetary slack. Job relevant information is unable to moderate the influence of information asymmetry on budgetary slack. autonomous budget motivation against budgetary slack.

Exploring Mobile Banking Adoption in Indonesia using UTAUT2: A Consumer Perspective Approach

This research aims to determine the factors influencing the acceptance and use of Mobile Banking using UTAUT2 model in banking companies registered in LQ45. The independent variables used in this research are Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit. The dependent variable used is Use Behavior. The intervening variable used is Behavioral Intention. The sample in this research was Mobile Banking users from banking companies registered in LQ45, with 280 respondents. The sampling technique used is non-probability sampling with a purposive sampling method, using primary and quantitative data. The analysis technique in this research uses Smart PLS 3.0 by analyzing outer models such as validity and reliability tests, and inner models such as R-Square, Path Coefficient, and Path Analysis. The research results show that Performance Expectancy, Social Influence, Price Value, and Habit have a direct influence on Behavioral Intention. Effort Expectancy, Facilitating Conditions, and Hedonic Motivation have no direct influence on Behavioral Intention. Facilitating Conditions and Behavioral Intention directly influence Use Behavior. Meanwhile, Habit has no direct influence on Use Behavior.

Efektivitas Pengendalian Internal dalam Mencegah Pembiayaan Macet pada BMT Al-Hijrah Bukittinggi

This research aims to examine the process of internal control policies in preventing bad financing at BMT Al-Hijrah Bukittinggi and to analyze the effectiveness of internal control in preventing bad financing at BMT Al-Hijrah Bukittinggi. The type of research used is qualitative research. The analysis techniques used are interview techniques, observation techniques, and documentation techniques. Bad financing is caused by payments that are not on time or not paying arrears that have been previously agreed. There are two causal factors, namely internal and external factors. The internal factor is the lack of supervision and checking carried out by BMT Al-Hijrah Bukittingi and forgetting to check receivables. Meanwhile, external factors are caused by customers and also not paying attention to the 5C principles when analyzing financing for prospective customers, resulting in bad financing.

Tri Hita Karana Culture Moderate: Good Corporate Governance and Morality in Fraud Prevention

The aim of this research is to determine the influence of Good Corporate Governance and Morality on Fraud Prevention in LPDs throughout Sukawati District directly or moderated by the Tri Hita Karana culture. The population in this study was LPDs in Sukawati District, totaling 33 LPDs with respondents for each LPD consisting of Leaders/Chairmen, Treasurers, Financial Administration Staff and Internal Supervisory Bodies. The sampling technique used was a saturated sampling technique where research data was collected through the results of distributing questionnaires and analyzed using the Moderated Regression Analysis (MRA) analysis technique. The research results state that Good Corporate Governance has a positive effect on Fraud Prevention. Morality has a positive effect on Fraud Prevention. Tri Hita Karana Culture is a moderating variable that strengthens the influence of the Good Corporate Governance variable on Fraud Prevention. Tri Hita Karana Culture is a moderating variable that strengthens the influence of the Morality variable on Fraud Prevention. The results of this research can provide practical contributions to interested parties, namely LPD managers and village behavior as LPD owners. LPD can increase awareness and understanding of the importance of good corporate governance and morality in preventing fraud. Training related to Tri Hita Karana cultural values ​​can also be provided to employees to strengthen commitment to ethical and responsible practices.

Contribution of Education Costs in Improving the Quality of SMP Examination Results Banten Province in 2023

This research aims to analyze the contribution of education costs in improving the quality of junior high school exam results in Banten Province in 2023. The type of research used is quantitative research with a descriptive approach. The object of this research is junior high schools in Banten Province with a total of 13 schools. The research subjects were school principals and students. Data collection techniques using questionnaires and documentation. The analysis technique used is simple regression and correlation analysis. The results of the research show that 1) there is a high correlation regarding the contribution of education costs in improving the quality of exam results in Indonesian Language and Mathematics with a value of 0.689, 2) the contribution of education costs has an impact of 47.4% in improving the quality of junior high school exam results. In this case, schools that have a higher education cost allocation tend to show better exam results. These findings emphasize the importance of effective management and allocation of education costs to improve the quality of education at the junior high school level.