Publication Search

This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

Decentralisation and democracy are two interrelated concepts in governance reform, particularly in improving the effectiveness of regional development. Decentralisation is often seen as an instrument to strengthen democracy by bringing the decision-making process closer to the people. This study aims to analyse the trend of research publications on decentralisation in Indonesia using a bibliometric analysis approach. The articles used in this study were obtained from Scopus data. From 472 articles found in the scopus database between 1999 and 2025. The selected articles were then managed using biblioshiny and Vosviewer software. The results show that publications related to decentralisation have fluctuated over the last 27 years. The article with the most citations entitled Decentralisation and Democracy in Indonesia: A Critique of Neo-Institutionalist Perspectives has 213 citations. Meanwhile, the highest affiliation shows that the University of Indonesia is the institution with a total of 25 publications. The mapping of articles based on the relationship between keywords (co-occurance) is formed into 8 clusters, each cluster describes topics that are often discussed in decentralisation-related literature such as Indonesia, decentralization, democracy, local government, governance approach, election, Asia and southeast Asia.

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

This study aims to analyze the effect of wages and work environment on employee performance at PT. Rezeki Surya Gasindo. The background of this research is based on the importance of decent wages and a conducive work environment as factors that can enhance employee productivity and work quality. This study employs a quantitative method with a causal associative approach. Data were obtained through the distribution of questionnaires to all employees of PT. Rezeki Surya Gasindo and measured using a Likert scale. The data analysis techniques used in this study include validity and reliability tests, R-square test, and hypothesis testing through bootstrapping with SmartPLS 3 software. The results indicate that wages have a positive and significant effect on employee performance, and similarly, the work environment also has a positive and significant effect on employee performance. Simultaneously, wages and work environment are proven to have a significant effect on employee performance. These findings suggest that the company should pay attention to providing appropriate wages and creating a comfortable work environment in order to optimize employee performance.

This research is motivated by the vital role of clean water services and the need to optimize operational revenue at BLUD UPT Water Supply Management in Batam City. The study aims to analyze the influence of willingness to pay, ability to pay, and payment awareness on BLUD revenue achievement. A quantitative associative approach was employed, involving a population of 29,047 customers. A sample of 100 respondents was determined using the Slovin formula, and data were analyzed via multiple linear regression using SPSS software. The results indicate that, simultaneously, all three independent variables significantly affect revenue achievement with an F-value of 56.825 and a significance of 0.000. Partially, willingness to pay (t=8.279), ability to pay (t=11.020), and payment awareness (t=10.435) also exert a significant influence. These findings imply that higher community payment behavior directly increases institutional revenue. It is recommended that BLUD improves service quality and payment socialization to ensure sustainable revenue achievement.

This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

This study aimed to determine the relationship between parental involvement and mathematics learning achievement of fourth-grade students at SD Inpres 18 Sorong Regency. The research employed a quantitative approach with a correlational design. The research subjects consisted of all fourth-grade students from classes IV A and IV B, totaling 66 students. Data on parental involvement were collected using a questionnaire, while students’ mathematics achievement data were obtained from documentation of end-of-semester promotion examination scores. Data analysis was conducted using descriptive and inferential statistics. The prerequisite tests included the Kolmogorov–Smirnov normality test with a Monte Carlo approach and a linearity test. Hypothesis testing was carried out using Pearson Product Moment correlation with the assistance of SPSS software. The results showed a positive and significant relationship between parental involvement and students’ mathematics achievement, with a correlation coefficient of r = 0.637 and a significance value of p = 0.000 (p < 0.05). This correlation is categorized as strong. The findings indicate that higher levels of parental involvement in guiding, supervising, and providing emotional support are associated with higher mathematics learning achievement among students. Therefore, parental involvement plays an important role in supporting the mathematics learning success of elementary school students.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

This study aims to analyze the influence of work environment and work motivation on the performance of outsourced employees at PT Kinarya Selaras Piranti. Phenomena in the field show the challenges of supervisory dualism and operational constraints, such as a difficult reimbursement system, which is suspected to affect productivity. The research method used was a quantitative approach with a saturated sampling technique (census) of 87 respondents. Data were collected through a digital questionnaire and analyzed using multiple linear regression through SPSS software. The results of the study showed that partially, the work environment had a positive and significant effect on employee performance (Sig. < 0.001). Similarly, work motivation has a positive and partially significant influence (Sig. < 0.001). Simultaneously, these two variables have a significant effect on performance with a determination coefficient value (R2) of 92.7%. This indicates that optimizing physical and non-physical conditions and meeting the psychological needs of employees are crucial factors in increasing work effectiveness in the outsourcing services sector.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

This study aims to analyze the influence of work discipline, professionalism, and organizational culture on organizational commitment among employees in the Public Service Sector. Organizational commitment is an important factor that reflects employee loyalty and attachment to the institution, while the three independent variables are considered as internal factors that can strengthen this commitment. The method used in this study is associative quantitative with a multiple linear regression approach. Data were collected through distributing questionnaires to 46 respondents based on probability sampling techniques. Data processing and analysis in this study used SPSS software version 27. Based on the results of the study, it was found that there is a significant influence of work discipline on organizational commitment. In addition, professionalism has a significant effect on organizational commitment, organizational culture has a significant effect on organizational commitment. Based on simultaneous hypothesis testing, it is proven that work discipline, organizational culture, and professionalism jointly influence organizational commitment. While the amount of contribution is 54% to organizational commitment, while the remaining 46% of organizational commitment is influenced by other factors such as leadership style, motivation, competence, rewards, job satisfaction, and employee performance. Thus, this study confirms that to increase organizational commitment, government agencies need to strengthen a healthy work culture, enforce discipline, and encourage a professional attitude in the work environment.

The evaluation of haul road geometry at PT Trubaindo Coal Mining was conducted to ensure that the haul road from the stockroom to the jetty meets applicable technical standards, thereby supporting the smoothness, safety, and efficiency of coal transportation activities. This study aims to analyze the conformity of haul road geometric parameters, including straight road width, curve width, curve radius, cross slope, longitudinal grade, and superelevation, based on the standards of AASHTO 7th Edition and Kepmen 1827 of 2018. The research method employed field measurements using a Terrestrial Laser Scanner (TLS), followed by data processing using Maptek and Surpac software. The obtained data were then compared with the applicable standards to determine the level of conformity of the haul road geometry. Based on field measurements, the average values obtained were 14.99 m for straight road width, 18.45 m for curve width, 0.22 m for cross slope, 6.97% for grade, 223.51 m for curve radius, and 1.40 m for superelevation. Furthermore, based on calculations and analysis referring to AASHTO 7th Edition and Kepmen 1827 of 2018, and considering the largest haulage equipment used (Volvo FMX 480), the ideal haul road geometry values were determined as follows: 13 m for straight road width, 17 m for curve width, 124 m for curve radius, 0.26 m for cross slope, 1 m for superelevation, and 6% for grade based on PT Trubaindo Coal Mining standards.

Inventory management is a crucial aspect of business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) that often face limitations in data management and technological adoption. Selaras Muba Lestari is Incubation Center, which supports MSMEs in Musi Banyuasin Regency, encounters challenges in managing product inventory due to reliance on manual recording systems. This study aims to design and develop a web-based inventory application using the Laravel framework to improve the efficiency and accuracy of stock management. The research adopts the Software Development Life Cycle (SDLC) Waterfall model, which includes requirements analysis, system design, implementation, and testing. The results indicate that the developed system is capable of improving data accuracy, accelerating the recording process, and providing real-time inventory reports. Furthermore, this study reinforces previous findings that digitalizing inventory systems serves as a strategic solution to enhance the competitiveness of MSMEs.

This study aims to analyze the effect of Return on Asset (ROA), Current Ratio (CR), Net Profit Margin (NPM), and Total Asset Turnover (TATO) on company value as measured by Price Book Value (PBV) in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2019–2023 period. This research adopts a quantitative method with a causal associative approach. The data was obtained from the financial reports of eight companies that met the purposive sampling criteria. Data analysis was conducted using multiple linear regression with the help of SPSS software. The results show that, partially, ROA and CR have a significant negative effect on PBV, while NPM does not have a significant effect on PBV, and TATO has a significant negative effect on PBV. Simultaneously, all four independent variables significantly affect PBV, with an R² value of 12.3%, indicating that most of the PBV variations are explained by other factors outside the research model. These findings provide insights for investors and company management regarding the importance of asset management and operational efficiency in enhancing firm market value.

This study aims to explore the trends in the development of scientific publications on beauty privilege, focusing on the growth in the number of articles, citation trends, as well as keyword mapping and the dominant themes emerging in the literature. The method used is a literature review with a descriptive bibliometric approach, referring to the PRISMA model which includes four stages: identification, screening, eligibility, and inclusion. Data were collected from Google Scholar using the Publish or Perish (PoP) software, with the keyword “beauty privilege.” The analysis results show that the number of publications has increased significantly since 2021, peaking in 2023 and 2024. In terms of citations, 2023 is the most influential year, having the highest number of citations. Keyword analysis using VOSviewer generated seven topic clusters, with dominant keywords such as beauty privilege, body shaming, and social media. The conclusion of this study indicates that the topic of beauty privilege is becoming increasingly relevant and evolving, opening opportunities for further research from various social, cultural, and psychological perspectives.

This study discusses the design and simulation of an automatic lighting system based on a photodiode sensor using an Arduino Uno microcontroller as the main controller. The system is designed to detect changes in ambient light intensity and automatically control the lamp without human intervention. The photodiode sensor is used as a light detector that converts light energy into an analog electrical signal, which is then processed by the Arduino to determine bright or dark conditions. The output from the Arduino subsequently controls a relay module that functions as an electronic switch to connect or disconnect the current to the light bulb. The research method employed is an experimental approach, which includes system planning, hardware design, software programming, simulation using Proteus, and system performance testing. The simulation results indicate that the system operates as expected, where the lamp automatically turns on when the light intensity decreases and turns off when the ambient brightness increases. This system is expected to improve electrical energy efficiency and provide ease of operation for lighting control, particularly in public facilitiesand workplace environments.

This study investigates the impact of TikTok Live, viral content, and Fear of Missing Out (FOMO) on the purchasing decisions of Gen Z consumers in Jombang City for food and drink products. Social media, particularly TikTok, has rapidly expanded and functions as a potent digital marketing instrument. It influences consumer behavior through live broadcasting and the dissemination of viral content. The objective is to examine the influence of these three factors on purchasing decisions. This study employs a quantitative methodology. The data was obtained from surveys administered to 60 Gen Z participants who purchased food or beverages following exposure to TikTok advertising. Samples were selected by purposive sampling. Data were examined using multiple linear regression with SPSS software. Findings indicate that TikTok Live exerts a favorable and substantial impact on purchasing decisions. Viral material exerts no substantial impact. FOMO exerts a detrimental and substantial impact. The results indicate that TikTok live streaming effectively enhances consumer purchases, especially within the food industry.  

Indonesia is in an earthquake-prone region, therefore, designing building constructions that can withstand seismic loads is crucial in civil engineering. Reinforced concrete shear walls are one of the vertical structural fundamentals that are effectively used in multi-story buildings to withstand lateral forces due to earthquake and wind loads. Structures that use shear walls can increase stiffness and reduce horizontal deviations (deflections) of buildings, which contribute to the stability and safety of structures based on the SNI 1726:2019 standard. This study aims to analyze the effect of shear wall configurations on deviation and torsion requirements in multi-story building planning. The study object is a 6-story reinforced concrete building model in a specific earthquake zone. The design and modeling were performed using structural analysis software, taking into account columns, beams, slabs, and shear walls. The analysis results show that optimal placement of shear walls at the building edges significantly reduces horizontal drift, torsion, and shear forces, and improves the structural performance level compared to structures without shear walls or those with less effective placement. Structures with shear walls have optimal stiffness in absorbing lateral forces, making them more resistant to damage from the planned earthquake.

This study aims to analyze the technical and economic impact of power evacuation work on the 20 kV distribution system at PT PLN (Persero) UP3 East Bali. The main problem studied is the high losses and poor voltage profile on the downstream side of the Kintamani feeder. The method used is load flow simulation using ETAP software with a comparative approach to conditions before and after power evacuation. The results showed that the active losses decreased from 1.017 MW to 0.626 MW (efficiency 38.45%), accompanied by an increase in the end voltage from 16.32 kV to 18.72 kV and 19.38 kV, thus meeting the SPLN 1:1995 standard. The reduction in losses resulted in energy savings of 3,425,160 kWh/year. From the economic side, a payback period (PBP) of 1.40 years was obtained, which shows that the project is financially feasible. In addition, the improvement of network performance also contributes to the reliability of the distribution system and the continuity of the distribution of electrical energy to customers. Thus, power evacuation work has been proven to be effective in improving power distribution efficiency, improving voltage quality, and providing significant economic benefits.