Publication Search

This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

Regional economic development requires a comprehensive understanding of the structure, potential, and dynamics of economic sectors so that formulated policies can be targeted and sustainable. Bojonegoro Regency as one of the regions in East Java Province has unique economic characteristics with the dominance of certain sectors, so it is necessary to conduct an in-depth analysis of the economic sectors that play a role in driving regional growth. This study aims to identify basic and non-basic sectors, analyze the dynamics of changes in economic sectors, and assess the sectoral competitiveness of Bojonegoro Regency compared to East Java Province. This study uses a quantitative approach with secondary data in the form of Gross Regional Domestic Product at constant prices by business field obtained from the Central Statistics Agency. The analytical methods used include Location Quotient, Dynamic Location Quotient, and Shift Share. The results show that the mining and quarrying sector remains the sector with the most dominant relative advantage in the economic structure of Bojonegoro Regency. However, the analysis of dynamics and competitiveness indicates that several non-extractive sectors are starting to show faster development and growth potential. This finding suggests an opportunity for transformation of the regional economic structure towards a more diverse pattern. The implications of this research emphasize the importance of regional economic development strategies that do not only rely on traditional leading sectors, but also encourage the development of more sustainable potential sectors.

Used cooking oil is a household waste that is often disposed of carelessly, potentially polluting the environment and endangering health. In Battu Winagun Village, the availability of used cooking oil from household activities and the abundant potential of lemongrass plants have not been optimally utilized. This community service activity aims to increase the community's knowledge and skills in processing used cooking oil and lemongrass plants into environmentally friendly products with economic value, namely natural aromatherapy candles. The implementation method includes socialization of the negative impacts of used cooking oil on the environment, training in the process of filtering and processing used cooking oil, extracting lemongrass aroma, and assistance in making and packaging aromatherapy candles. The results of the activity showed that the Battu Winagun Village community was able to understand the importance of managing used cooking oil waste and utilizing lemongrass plants as a natural additive. This activity has an impact on reducing environmental pollution and opening up creative business opportunities based on the village's local potential. Thus, the use of used cooking oil and lemongrass plants can be a sustainable solution in waste management while improving the economy of the Battu Winagun Village community.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

Hand hygiene is an essential step in preventing the transmission of infectious diseases, making the availability of safe and environmentally friendly hand soap an important necessity in daily sanitation practices. This community service activity aims to enhance students’ environmental literacy, technical skills, and ecological awareness through training on producing natural hand soap based on butterfly pea flower (Clitoria ternatea) extract, with the final product named Clitoria Nature. The program was implemented using the Participatory Action Research (PAR) method, which consists of four stages planning, action, observation, and reflection—through strategies including socialization, demonstration, and hands-on practice. The subjects of this activity were 32 students of Grade VIII Room 1 at MTsN 1 Palangka Raya City. The results showed an increase in students’ understanding of the benefits of natural ingredients, their ability to formulate liquid soap, and the development of behavior that favors the use of natural hygiene products. Theoretically, the anthocyanin and flavonoid content of butterfly pea flowers supports the antibacterial potential of the formulated soap. This program not only produced an environmentally friendly hand soap but also contributed to the formation of healthier and more sustainable sanitation behaviors.

This study explores the intellectual and thematic evolution of green sukuk research within Islamic sustainable finance from 2015 to 2025. Using a hybrid methodological design that integrates the PRISMA-guided Systematic Literature Review with Watase Uake network analysis, the study identifies 17 core Scopus-indexed articles that collectively define the field’s conceptual and empirical development. Results reveal a three-phase evolution: (1) a formative stage emphasizing ethical legitimacy and Sharia compliance; (2) a transitional phase integrating pricing efficiency, market risk, and policy frameworks; and (3) a maturity phase characterized by econometric modeling, behavioral-finance integration, and sustainability governance. Thematic clusters extracted from bibliometric mapping include financial performance and market dynamics, institutional legitimacy and policy frameworks, behavioral intention and investor psychology, and technological innovation and ESG disclosure. Despite methodological advancement, the literature remains geographically concentrated in Malaysia and Indonesia and exhibits theoretical fragmentation across behavioral, financial, and institutional models. Findings highlight key research gaps involving contradictory evidence on yield–risk relationships, inconsistent behavioral determinants of investment intention, and insufficient integration of moderating or mediating mechanisms. The study advances theoretical pluralism by connecting the Theory of Planned Behavior (TPB), Institutional and Legitimacy Theory, and Resource-Based View (RBV) into an integrated model explaining how legitimacy, behavior, and strategic capability jointly drive green sukuk adoption. Policy implications emphasize the need for harmonized regulation, behavioral incentives, and digital transparency to strengthen credibility and accelerate sustainable-finance transformation in line with SDGs 7 and 13.

Antibiotic resistance has emerged as a significant global health challenge, prompting the exploration of alternative antimicrobial agents. This study focuses on the synthesis and antibacterial potential of plant-based nanoparticles, specifically silver nanoparticles AgNPs, synthesized using neem leaf extract Azadirachta indica. The research aims to assess the effectiveness of these green-synthesized nanoparticles against Escherichia coli E. coli), a common pathogen responsible for numerous infections, including those resistant to conventional antibiotics. The synthesis of AgNPs was performed using neem leaf extract as a reducing and stabilizing agent, following a green synthesis approach that is environmentally friendly and avoids harmful chemicals. The synthesized nanoparticles were characterized using UV-Vis spectroscopy, Transmission Electron Microscopy TEM, and X-ray Diffraction XRD, ensuring the particles’ size, shape, and crystalline structure were in the desired range. Antibacterial activity was assessed using the agar diffusion method, comparing the inhibition zones formed by the nanoparticles with those of traditional antibiotics. The findings revealed that the silver nanoparticles displayed significant antibacterial activity against E. coli, with inhibition zones comparable to conventional antibiotics, indicating their potential as an effective alternative in combating antibiotic-resistant bacteria. Moreover, these nanoparticles exhibited high stability and biocompatibility, making them a promising candidate for further biomedical applications. The results suggest that neem-based AgNPs could serve as an eco-friendly solution for addressing antibiotic resistance. Future research is recommended to explore the broad-spectrum activity of these nanoparticles against other bacterial pathogens and to assess their safety and efficacy in clinical settings.

Digital transformation and sustainability demands are driving the need for the integration of E-HRM and Green HRM to achieve sustainable organizational performance. This integration serves as a solution to the challenges of resource efficiency, carbon footprint reduction, and enhanced employee engagement in the digital era. This research aims to analyse the role of E-HRM in enhancing Green HRM practices and its impact on sustainable organizational performance. The research methodology employs a Systematic Literature Review (SLR), utilising the Scopus database, with selection based on inclusion-exclusion criteria, data extraction, and thematic analysis of selected journals. The anticipated impact of E-HRM is its support for Green HRM through the digitalization of HR processes that reduce resource usage, the establishment of digital platforms for environmental awareness, and data-driven impact measurement. The integration of both significantly enhances sustainable performance across three dimensions: environmental (a 20-30% reduction in carbon footprint), economic (15-25% cost savings), and social (30-40% increase in employee engagement). Key implementation factors include technological readiness, management commitment, and alignment with ESG strategies. This research contributes a conceptual framework for the integration of E-HRM and Green HRM, along with practical recommendations for achieving sustainable competitive advantage in the digital age.

This study analyzes Gopay user satisfaction in DKI Jakarta area. Amidst Indonesia's booming digital economy and the shift to cashless transactions, Gopay's role as a leading e-wallet is crucial, making user satisfaction vital for business sustainability. Employing a quantitative descriptive approach, data was collected via surveys from 170 Gopay users in DKI Jakarta, primarily young adults (18-29) and students. Data were analyzed using descriptive and exploratory factor analysis with SPSS version 25. Descriptive analysis showed respondents hold a highly positive perception across all five satisfaction dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Factor analysis extracted five key factors—Completeness, Accurate, Appearance, Easy to Understand, and Information Availability—collectively explaining 68.601% of the total variance. These factors significantly contribute to overall user satisfaction. The findings offer valuable insights for Gopay to enhance services and foster user loyalty by focusing on these critical aspects of application quality.

This study aims to identify the leading economic sectors in East Kalimantan Province and analyze their influence on the development of the National Capital of the Archipelago (IKN) as an economic superhub. Using secondary data from 2019–2023, the analysis applies Location Quotient (LQ), Dynamic LQ (DLQ), Shift-Share, and SWOT methods to evaluate the regional economy. Results show that the mining and quarrying sector remains dominant, while agriculture and processing industries demonstrate stable potential for sustainable growth. The study also highlights the urgency of economic diversification, human capital development, and renewable energy as strategic steps to reduce dependence on extractive sectors. The formation of a collaborative blueprint between regional governments, businesses, and communities with the IKN Authority is proposed to strengthen connectivity and economic integration. This research provides critical insights for policy formulation to support East Kalimantan’s transformation as a central player in national development.

This study aims to analyze the effect of Assistance Services and Transaction Security on User Emotional Experience, with Customer Satisfaction as a mediating variable in the context of using a digital wallet (e-wallet). This study uses a quantitative approach with a causal-comparative method. Data collection was carried out by distributing online questionnaires using Google Form to 150 respondents who are active e-wallet users. The research model consists of four latent variables, each of which is measured by three reflective indicators. The data analysis technique uses the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the help of SmartPLS software, and is supported by descriptive analysis using SPSS. Validity and reliability tests are carried out through outer loading tests, Average Variance Extracted (AVE), Cronbach's Alpha, and Composite Reliability. Hypothesis testing is carried out by considering the path coefficient, t-statistic, and p-value values. The results of the study indicate that Assistance Services and Transaction Security have a significant effect on Customer Satisfaction. Assistance Services also have a direct effect on Emotional Experience, while Transaction Security does not have a direct effect on this variable. Customer Satisfaction has a significant effect on Emotional Experience, and is proven to be a significant mediator in the relationship between Assistance Service and Transaction Security on Emotional Experience.

Mental health issues such as depression, anxiety, and stress continue to increase globally and are recognized as critical factors that influence social functioning, productivity, and overall quality of life. Conventional mental health services are often limited by barriers including high cost, geographical distance, and persistent stigma that discourage individuals from seeking timely help. The digital era provides an alternative through the integration of technology into mental health counseling, offering greater accessibility, flexibility, and anonymity. Nevertheless, a key limitation of many digital counseling platforms lies in their inability to fully capture and respond to the emotional nuances of users during interactions. This study aims to address that gap by developing a speech-based emotion detection framework designed to be integrated into digital counseling environments. The proposed methodology includes the collection and preprocessing of speech samples, feature extraction using acoustic parameters, and training machine learning models to classify emotions in real time. Experimental results demonstrate that this approach significantly improves the accuracy of emotion detection, enabling digital counseling systems to provide more adaptive and personalized support. Beyond counseling, the research highlights the broader applicability of speech emotion recognition in education, telemedicine, and interactive digital assistants, all of which benefit from improved sensitivity to human emotions. These findings underscore the potential of artificial intelligence to strengthen digital mental health interventions, ensuring services that are not only more efficient and inclusive but also capable of fostering long-term emotional well-being in diverse populations.

This study aims to analyze the perspectives of mathematics students on mixing aloe vera extract with weak acid solution for hair health and softness. The research method used is descriptive quantitative through the distribution of questionnaires to 43 mathematics students at Medan State University and other universities in North Sumatra. The questionnaire consists of 19 statements covering aspects of knowledge (12 items), environmental awareness (4 items), and psychomotor (4 items) with a Likert scale of 1-5. The results showed that the majority of respondents had good knowledge about the benefits of aloe vera for hair care (mean = 4.02), but the understanding of weak acid solution and its mechanism of action was still moderate (mean = 3.12). The environmental awareness aspect showed a high value (mean = 3.76) which reflects the tendency of students to choose natural products. Meanwhile, the psychomotor aspect showed a moderate value (mean = 3.44), which indicates the limitations of respondents' skills in applying hair care products optimally. This study found a positive correlation between knowledge about natural ingredients and the tendency to use natural-based products for hair care. The results of this study are expected to be the basis for developing hair care product formulations based on natural ingredients that suit the needs and preferences of students.

The urgency of consumer protection in Sharia-compliant transactions has become increasingly prominent alongside the growth of the halal industry and rising public awareness of transactional justice based on Islamic principles. This study aims to formulate the theoretical and normative construction of consumer protection within the framework of Islamic law and to assess its compatibility with Indonesia’s positive legal system. Employing a normative juridical approach combined with a descriptive-analytical method, this research explores primary legal sources including Qur’anic verses, the hadiths of Prophet Muhammad (PBUH), and scholarly opinions found in classical and contemporary fiqh al-mu‘āmalāt literature, as well as secondary legal sources such as Law Number 8 of 1999 on Consumer Protection, fatwas of the National Sharia Council (DSN-MUI), and relevant academic literature. The analysis is conducted through content analysis to extract the values of justice, transparency, and balance of rights and obligations within contractual mechanisms. This study finds that core principles such as truthfulness (ṣidq), disclosure (bayān), and justice (‘adālah) constitute the essential foundation of consumer protection in the Islamic legal perspective. The prohibition of gharar (uncertainty), riba (usury), and tadlīs (fraudulent misrepresentation) is not merely a moral injunction but an integral safeguard mechanism for consumer rights. Furthermore, the institutional presence of supervisory bodies such as DSN-MUI and Sharia certification mechanisms has proven to be strategic, though they continue to face challenges in implementation, socialization, and consumer literacy. The findings also indicate a substantial opportunity for harmonizing Islamic legal principles with the national legal system within the framework of maqāṣid al-sharī‘ah. Therefore, this study recommends strengthening sectoral regulations based on Sharia principles, integrating fatwas into positive legal norms, and enhancing educational capacity for both business actors and consumers in order to realize ethical, equitable, and sustainable transactions.

Nigeria's economy has been severely stagnant since the 1980s. Afrocentric literature charts the nation's history, whereas Eurocentric literature identifies the Nigerian civil war and the corrupt practices of its leaders as the primary cause economic hardships to her historical colonial dominance and economic exploitation activities. However, none of the aforementioned reasons provide stronger support for being the cause of the nation's economic dysfunction, particularly when contrasted with IMF measures implemented there. The IMF's policies on Nigeria's Structural Adjustment Program (SAP) and its Loan Conditionality are partially shown in this article to be "the crux impediment facing the country." As a result, the paper makes the case that, among other mismanagement policies, General Ibrahim Babangida's acceptance of IMF loans contributed to the nation's economic problems and backwardness. Using primary and secondary sources, the study makes the argument that its riches would be restored by a more inclusive economic system free of the current extractive economic practices.

Acne is a common skin condition caused by excessive oil production that clogs pores and leads to inflammation. Acne-prone skin care can be done using facial masks, one of which is the practical and effective peel-off mask. This study aims to analyze the effect of using a peel-off mask containing corn and jasmine flower extract on acne-prone skin care. The research method used is a quasi-experimental design with a nonequivalent control group design. The sample consisted of six female students from Universitas Negeri Padang aged 17-25 years with acne-prone skin, divided into control and experimental groups. The research variables include the number, shape, color, and volume of acne. Data analysis techniques include normality, homogeneity, and hypothesis testing. The results show that the experimental group using the peel-off mask with corn and jasmine flower extract experienced a significant reduction in acne count, improvement in acne shape, and a decrease in redness and acne volume. In contrast, the control group showed no significant changes. Hypothesis testing indicated significance values for color (0.006), shape (0.000), volume (0.000), and number (0.000) <0.05, proving the effectiveness of the mask in treating acne-prone skin. In conclusion, the peel-off mask containing corn and jasmine flower extract is effective in reducing acne and improving facial skin condition.

CV. Rasyid is a business unit specializing in the production of ecoprints. Currently, one of the most sought-after clothing colors by consumers is burnt coral red. However, CV. Rasyid has been unable to meet this demand due to challenges in the production process, specifically the deterioration of the color during the fixation stage. To address this issue, the community service team from the Industrial Engineering Study Program at Muhammadiyah University of Gombong (Unimugo) provided facilitation and support. The program aims to equip participants with the knowledge and skills needed to produce burnt coral red for ecoprints using secang dye. The activities include preparation, implementation, monitoring, and evaluation. The implementation process was conducted with guidance on color extraction, mordanting, design printing, and fixation. Monitoring results indicate that CV. Rasyid successfully carried out the burnt coral red ecoprint production process independently without significant issues. While the colors produced may vary slightly, this is not a concern, as such variations are a unique characteristic of ecoprint products.

Efforts to increase fish farming productivity, motivating farmers to enhance the fish farming population in Pulau Semambu Village. Inderalaya Utara Village, Ogan Ilir, can be implemented through village lecture provision, training, and demonstration of artificial feed production based on maggots with the addition of water spinach leaf extract. The objective of this activity is to enhance the growth and immune system of fish livestock.Based on that reasoning, the framework of thought that will be pursued through the model approach (1) The approach is carried out through direct observation of the community while simultaneously mapping the latest fish farms in Pulau Semambu Village, Inderalaya Utara, Ogan Ilir.(2) Assistance, this activity is carried out through village lectures that can be realized in the form of outreach to fish farmers about improving fish farming management and providing support in motivating fish farmers to start implementing the concept of an intensive maintenance system in fish farming in maintenance ponds that meet health standards. (3) Direct demonstration (practice) of making artificial feed based on BSF maggots, which includes how to make water spinach leaf extract, how to maintain maggots, and how to make flour and pellets for artificial feed. The village lecture activity was attended by 40 women in the fish farming group in Pulau Semambu Village and students taking the Entomology and Entrepreneurship courses.The result of the activity is to increase the productivity and population of fish livestock in Pulau Semambu. The provision of fish feed based on a mixture of maggot flour and water spinach extract can enhance the growth and immune system of fish livestock, resulting in heavier fish that are less prone to disease. Increasing the production and population of fish livestock will result in higher incomes for the fish farmers in Pulau Semambu village, Inderalaya Utara, Ogan Ilir.

Dead skin cells can occur due to many factors, such as increasing age, sun exposure, and an unhealthy lifestyle. Signs of skin problems due to the buildup of dead skin cells are dull skin, acne, and dry skin.  Body scrub is a type of skin care that can provide many benefits for skin health and beauty. Scrub is the process of exfoliating dead skin cells using a scrub or natural ingredients. Pedada fruit scrub is a natural beauty care innovation originating from the coast of Indonesia, especially from areas rich in pedada fruit plants (Sonneratia spp.). Pedada fruit is known to have high antioxidant content which can provide benefits for the skin, such as brightening it, reducing wrinkles, and fighting the effects of free radicals. This scrub uses pedada fruit extract which is rich in flavonoids, tannins and vitamin C to care for the skin naturally. This body scrub product not only offers beauty benefits but is also environmentally friendly because the raw materials are easy to find in coastal areas and do not require complicated chemical processes. This research aims to examine the benefits of pedada fruit scrub as a natural beauty solution that is rich in antioxidants.

The growth of e-commerce in Indonesia has led to the emergence of various online shopping platforms, with Shopee being one of the most popular in Semarang City. User reviews on the Shopee application serve as a valuable data source for analyzing customer satisfaction levels; however, the large volume of data requires a systematic and accurate analytical approach. This study aims to analyze user review sentiments of the Shopee application using three machine learning algorithms: Random Forest, Naïve Bayes, and Support Vector Machine (SVM), as well as comparing the accuracy of these three algorithms. This research utilized 1000 reviews collected through web scraping from the Play Store, which were categorized into three classifications: positive, neutral, and negative sentiments. The analysis process encompassed pre-processing stages, feature extraction using TF-IDF, and classification using Random Forest, Naïve Bayes, and Support Vector Machine algorithms. The results demonstrated that the Random Forest algorithm achieved the highest accuracy at 96.19%, followed by Support Vector Machine with 95.71% accuracy, and Naïve Bayes with 84.76% accuracy. This research highlights the effectiveness of Random Forest and SVM in classifying user review sentiments towards the Shopee application.