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Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices. Abstract: Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices.

This study offers a comprehensive analysis of the integrated technology construct connecting physical and mental health services in conflict-affected Middle Eastern regions by employing confirmatory factor analysis within a Structural Equation Modelling approach. The research is based on 1,124 documents on digital health technology implementation published between 2017 and 2024 across fourteen countries. The measurement model demonstrates strong goodness-of-fit, evidenced by chi-square/df = 1.847, CFI = 0.971, TLI = 0.965, RMSEA = 0.041, and SRMR = 0.034, thereby confirming the structural soundness of the proposed framework. The analysis identifies four core dimensions—Digital Innovation (lambda = 0.893, CR = 13.672), Infrastructure Readiness (lambda = 0.847, CR = 12.184), User Competency (lambda = 0.819, CR = 11.453), and Sustainability (lambda = 0.865, CR = 12.738)—all significant at p < 0.001. Reliability indices are robust, with Cronbach's Alpha between 0.876 and 0.934, Composite Reliability ranging from 0.891 to 0.947, and Average Variance Extracted between 0.661 and 0.798, indicating strong internal consistency. The findings expand earlier digital health frameworks proposed by Mechael (2009) and Labrique et al. (2013) by emphasizing sustainability as a key component in conflict settings marked by limited resources. In contrast to Aranda-Jan et al. (2014), which addresses general technology adoption, this study underscores specific challenges in integrating both mental and physical health services in humanitarian contexts, thereby responding to the gap highlighted by Naslund et al. (2017) regarding fragmented digital mental health initiatives in crisis environments.

The era of digital transformation requires office administration employees to master digital competencies and maintain high work motivation to achieve optimal productivity. This study analyzes the influence of digital competence and work motivation on the productivity of office administration employees in the Greater Bandung area. The main problem studied is the gap in understanding how digital competence and work motivation interact in influencing productivity, considering that the majority of previous studies examined the two variables separately. This study aims to analyze the partial and simultaneous influence of digital competence and work motivation on employee productivity. The research method uses a quantitative approach with an explanatory research design involving 420 respondents of office administration employees selected through proportionate stratified random sampling. The data collection instrument is a structured questionnaire with a 5-point Likert scale that has been validated using Confirmatory Factor Analysis and tested for reliability using Cronbach's Alpha. The data analysis technique uses multiple linear regression analysis by first conducting a classical assumption test to ensure the feasibility of the model. The results showed that digital competence had a significant positive effect on productivity with a regression coefficient of 0.398, work motivation had a significant positive effect with a coefficient of 0.425, and simultaneously the two variables explained 52.8% of the variation in employee productivity. These findings confirm that work motivation has a slightly more dominant influence than digital competence, indicating the importance of psychological factors in maintaining long-term productivity consistency. This research contributes to the development of human resource management theory by integrating Resource-Based View Theory and Self-Determination Theory, as well as providing practical implications for organizations to adopt a dual-track approach in employee development that combines digital competency training with a holistic motivation system.

This study aims to investigate the effects of liquidity, financial leverage, capital structure, and operating cash flow on financial performance, with financial distress serving as a mediating variable. The population comprises transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023, totaling 37 companies. The sample includes 20 companies, with quarterly financial reports yielding 400 observations. Secondary data were employed, and purposive sampling was utilized for sample selection. The analysis was conducted using panel data analysis at a 5% significance level, facilitated by STATA Version 17 software. Mediation was tested utilizing the Sobel test with a critical value of 1.96. The results reveal that liquidity significantly impacts both financial distress and financial performance; financial leverage significantly affects both financial distress and financial performance; capital structure significantly influences financial distress but does not significantly affect financial performance; operating cash flow does not significantly impact financial distress but significantly affects financial performance. Collectively, liquidity, financial leverage, capital structure, and operating cash flow significantly influence financial distress. Furthermore, liquidity, financial leverage, capital structure, operating cash flow, and financial distress together have a significant effect on financial performance. Mediation analysis indicates that financial distress significantly mediates the relationships between liquidity, financial leverage, capital structure, and financial performance, whereas financial distress does not significantly mediate the effect of operating cash flow on financial performance. It is recommended that transportation and logistics companies listed on the IDX actively enhance liquidity, optimally manage leverage and capital structure, and strengthen operational cash flow management to minimize financial distress risk and sustain financial performance.

This journal examines the factors that have the potential to cause delays in the implementation of the Dempsey Hill residential housing construction project, North Citraland, Surabaya. Projects managed by CV. Tirta Kusuma has a target of completion in 10 months, but there are indications of delays that affect the schedule and costs. This study aims to identify and analyze the dominant factors causing delays, such as project management, material procurement, and human resources. The methods used include observation, questionnaire distribution, and literature study. The results of this analysis are expected to provide recommendations to improve time management, resource efficiency, and control of future construction projects. The results of data analysis in this study indicate that project delays are primarily caused by material delays and errors in work execution, as concluded based on the results of factor analysis.

Micro, Small, and Medium Enterprises (SMEs) play an important role in the economy, including in the growing culinary sector. Cimol Bojot Aa, a culinary business focusing on selling cimol snacks, operates in a highly competitive market. This study aims to analyze the internal and external environments influencing the business strategy of the SME Cimol Bojot Aa. The methodology used includes SWOT and TOWS analysis, combining internal and external factor analysis to formulate business development strategies. Data were collected through interviews with the business owner, direct observation, and related document studies. The results show that Cimol Bojot Aa has strengths in unique products and competitive pricing, but faces challenges in marketing and financial management. Based on these findings, it is recommended that the business focus on strengthening digital marketing strategies and improving financial management for sustainable growth. This study provides practical recommendations for SME owners in planning adaptive and competitive business strategies in the culinary market.

The application of safety is an important matter in carrying out activities inland transportation including railroad transportation. Jabodetabek travel routes are handled directly by PT. Kereta Komuter Indonesia. This activity certainly requires a lot of human labor so safety is very important in this regard. With the existence of safety arrangements, it will avoid any related things from accidents or losses due to the delay in the completion of work caused by the inaccurate company safety management system. Therefore each element involved in each activity requires further knowledge and understanding of the core factors that are in accordance with the safety management system used. Referring to this approach, research is carried out on the railroad industry in Indonesia by developing a safety model in the railway industry. The research was conducted by finding the right literature and then developing a model for the factors considered appropriate to be applied to the safety management system in railroad transportation in Indonesia. After the model was developed, the model was confirmed by the Confirmatory Factor Analysis (CFA) approach with the Structural Equation Modeling (SEM) method. The results of the study will prove that the factors developed in the safety model are positively related to the implementation of commuter train safety management in Indonesia.  

This study aims to understand the effect of flexible work arrangement and work life balance on employee performance, especially lecturers at state universities in Bandar Lampung City. The method used is non-probability sampling, data was collected using convenience sampling techniques to 109 lecturers at state universities in Bandar Lampung City. Validity and reliability tests were carried out by conducting Confirmatory Factor Analysis and Cronbach's Alpha tests. Then the Kolmogorov Smirnov test was carried out to test the data distribution. Hypothesis testing was carried out by looking at the t-value and significant value in multiple regression. The results of the study showed that hypothesis 1, namely flexible work arrangement, has a positive and significant effect on employee performance at state university lecturers in Bandar Lampung City. While hypothesis 2, namely work life balance, does not have a positive and significant effect on employee performance at state university lecturers in Bandar Lampung City. Therefore, agencies need to increase employee commitment, encourage personal work life balance, and strengthen the alignment of individual and organizational goals, in order to create a productive and sustainable work environment.

This study aims to determine and analyze the key factors that influence and significantly contribute to online purchasing decisions among consumers in Manado City, North Sulawesi. The research adopts a quantitative approach with factor analysis as the main method of data analysis. Judgmental sampling was employed to select participants who have experience in online shopping. Based on the results, seven dominant factors were identified that affect consumer decisions when making online purchases. These factors include: (a) Consumer Limitations and Access, which refer to time constraints and limited access to physical stores; (b) Desire and Technology, highlighting the role of consumer interest and technological literacy; (c) Product and Price Limitations, involving the lack of product variety and pricing differences; (d) Flexibility, which represents the freedom to shop anytime and anywhere; (e) Efficiency, such as time and cost savings; (f) Convenience, referring to the ease of the purchasing process; and (g) Economy and Social, which include discounts, promotions, and social influences. The study contributes to a better understanding of consumer behavior in digital commerce and provides useful insights for businesses and marketers to improve online customer experiences, particularly in regional markets such as Manado. The findings underscore the multidimensional nature of online shopping behavior in a rapidly growing digital economy.

The advancement of technology within organizations supports companies in innovating their work systems more efficiently and effectively. Technological sophistication has transformed the organizational work environment by enabling hybrid models that combine remote and in-office work. This research aims to examine the influence of hybrid work arrangements and dual role conflict on employee performance in Indonesia’s pharmaceutical sector. Data were gathered through a questionnaire distributed via Google Forms to 185 employees working in the pharmaceutical industry across Indonesia. The data analysis was conducted using SPSS version 27. The research instruments were tested for validity and reliability; validity was assessed through Confirmatory Factor Analysis (CFA MSA), including Kaiser-Meyer-Olkin (KMO), Anti-Image, and Factor Loadings. Normality was examined using the one-sample Kolmogorov-Smirnov test. Hypothesis testing employed multiple linear regression and t-tests. The findings indicate that both hybrid work systems and dual role conflict have a positive and significant impact on employee performance.

The Maluku Islands are a high-poverty region in Indonesia. The region consists of 2 provinces, namely Maluku province and North Maluku province. There are 21 districts/cities in the region, with 17 regencies and 4 municipalities. The poverty rate in this region is a challenge that always wants to be studied with a socio-population approach and a mathematical statistics approach. One method or approach in analyzing poverty is Principal Component Analysis (PCA).  PCA has the advantage of simplifying information from various variables to several principal components without losing much information and can overcome the problem of multiple linearity by changing variables that correlate with freely related components. The purpose of this research is to identify poverty in districts/municipalities in Maluku Islands using the PCA approach. The results showed that the components formed by the PCA method were formed in 2 factors. Factor 1 consists of GRDP (X2), Life Expectancy Rate (X3), Unemployment Rate (X4) and Percentage of Population (X6). Meanwhile, factor 2 consists of 2 variables, namely the Poverty Level (X1) and TPAK (X5).

Ovarian cysts are a type of reproductive disease that often attacks women. Ovarian cysts are collections of fluid in the ovaries or fallopian tubes that accumulate and are surrounded by a membrane formed from the outer layer of the ovaries. Many people, especially women of childbearing age, do not know the factors that cause ovarian cysts themselves. Cyst Factor Analysis aims to increase public knowledge for early prevention. This research is a type of quantitative research using a cross sectional approach. The sample used was 109 respondents and anticipated drop out was 121 respondents in the work area of the Tlogosari Kulon Semarang Health Center. The sample was taken using a probability sampling technique with a simple random sampling type. The comparative test used was the Chi-Square test. The results of research using the Chi-Square test proved that the p value of the ovarian cyst factors was <0.05. This shows that there is a significant and strengthening relationship between age, menstrual cycle, genetic history, parity, economic status, history of previous cysts, menarche, hypothyroidism. There is a relationship between age, menstrual cycle, genetic history, parity, economic status, history of previous cysts, menarche, hypothyroidism on the incidence of ovarian cysts in women of childbearing age at the Tlogosari Kulon Semarang Community Health Center, and factors that have a significant influence are genetic history with a p-value <0.050.

Marketplace or E-commerce is an internet-based online media as a place to conduct business activities and transactions between buyers and sellers. In the marketplace or e-commerce, buyers can search for as many suppliers as possible with the desired criteria so that they get the appropriate market price. Tokopedia is a marketplace based in Indonesia. The purpose of this study is to explain the role of brand image in mediating the influence of online customer reviews on purchasing decisions. This study was conducted in Denpasar City with a sample of 100 respondents using the non-probability sampling method with the purposive sampling technique. The data analysis technique used is the inferential analysis technique including confirmatory factor analysis (CFA), path analysis, Sobel test and VAF test. The results of this study indicate that online customer reviews have a positive and significant effect on purchasing decisions. Online customer reviews have a positive and significant effect on brand image. Brand image has a positive and significant effect on purchasing decisions. Brand image partially mediates the influence of online customer reviews on purchasing decisions for Tokopedia users in Denpasar City. The implications of this study can be used as consideration and input for Tokopedia in improving consumer purchasing decisions by considering the variables of online customer reviews and brand image.

Significant changes have occurred in the economy, especially in developing countries such as Indonesia, where the economic, development and industrial sectors continue to improve. Manufacturing companies in the cosmetics subsector are an industry that has quite intense competition in Indonesia. According to the first quarter of 2020 data from the Central Bureau of Statistics, the market growth of this industry averaged 5.59% per year. This is expected to continue in the coming year. The implementation of supply chain management (SCM) will support organizations to have a good performance system. PT Zoey Cosmedica Putra (Maklon Kosmetik) is one of the manufacturing companies engaged in the cosmetics industry. The purpose of this study is to analyze the effect of supply chain management on company performance. Data processing using the Structural Equation Modeling - Partial Least Square (SEM-PLS) method using Smart PLS software version 4.0. The results of SCM factor analysis research measured by independent variables, namely relationships with suppliers (X1), relationships with customers (X2) and the level of information sharing (X3) with the dependent variable, namely company performance (Y). Shows X1 and X3 hypotheses have an influence, while the X2 hypothesis has no effect.

The COVID-19 pandemic severely impacted Indonesia, leading to substantial socio-economic disruptions and widespread social anxiety. In response, the government implemented a range of measures, including restrictions and mandatory health protocols, to control the virus. Although the pandemic is officially declared over, the risk of infection remains. Therefore, continued adherence to health protocols is essential. This study aimed to identify the key factors driving public compliance with health protocols in the post-pandemic period within Indonesia, providing valuable insights for policymakers to prevent future outbreaks. The findings revealed that knowledge emerged as the most significant determinant of community adherence to ongoing health protocol implementation. Consequently, the government must consistently emphasize the importance of adhering to health protocols whenever individuals are outside their homes.

This research is motivated by the large number of customers who are interested in using pawn products (rahn), this is because people's needs continue to increase for additional business capital, while the funds they have are limited. However, with increasing community needs, pawnshops themselves are not providing optimal services to customers. However, due to the lack of service received by customers, they still choose Rahn products. So, this research aims to find out the factors that influence customer decisions in picking up Rahn products at the Solok City Branch Sharia Pawnshop and to find out the most dominant factors that influence customer decisions in picking up Rahn products at the Solok City Branch Sharia Pawnshop. This research is quantitative research. The data collection tool uses a questionnaire. The population of this research is all customers who use rahn at the Solok branch of the sharia pawnshop in 2024, totaling 18,033 respondents with a sample of 100 respondents. The data analysis technique in this research uses research instrument tests, prerequisite tests and factor analysis tests with the help of SPSS. Based on the results of research that has been carried out, the results show that there are four factors that influence customers' decisions in purchasing rahn products, namely promotional factors, price factors, sharia aspect factors and location factors. Then the most dominant factor of the four factors that influence customers' decisions in taking Rahn products is the price factor.

An examination of the variables affecting rice output and farmers' income levels serves as the driving force behind this study. One of the settlements where people live and work is this one. Using multiple linear regression methods and confirmatory factor analysis (CFA), the study aims to ascertain and assess the effects of fertilizer use, capital, productivity, land, distribution, price, demand, and consumption on farmers' income levels. One hundred farmers served as the sample size. Questionnaires were sent in order to gather data, and SPSS version 24.0 was used for data processing. According to the findings of experiments conducted using hypothesis testing, farmer income is significantly impacted by the factors of production, consumption, land, and prices. Next, the variables Farmer income is not significantly impacted by fertilizer use, demand, distribution, or capital. Four factors are suitable to influence income, according to the research's findings. The first component, productivity, has a value of 0.912; the second, consumption, has a value of 0.764; the third, land, has a value of 0.848; and the fourth, price, has a value of 0.864. The Rotated component matrix value indicates that there are eight factors. The government must work to inspire and excite the people to boost the wealth of farmers in Sei Rotan village, and it is hoped that farmers would keep increasing the productivity of their rice output.

Poverty is one of the main issues in Indonesia although many policies have been implemented by the government to overcome this problem. With this problem, a study was conducted which aims to identify factors that affect poverty in East Java in 2023 using the principal component analysis (PCA) method. PCA is a multivariate analysis technique used to extract information from correlated data, so as to summarize several variables into principal components. In this study, the variables used include the number of poor people, percentage of poor people, poverty severity index, open unemployment rate, labor force participation rate, and life expectancy from 38 districts/cities in East Java. It was found that the data characteristics had low variance with the exception of one variable, and met the assumptions of multivariate normal distribution, interrelationship between variables, data sufficiency, and correlation between variables suitable for PCA. Factor analysis with PCA produces two main components, namely community living conditions and labor conditions, which can represent the original variables in their influence on poverty in East Java. Suggestions from this study are expected to be a reference for policy makers in improving community welfare and labor conditions in East Java. Future research is expected to add related variables to obtain more detailed results.

Indonesia has significant fisheries potential due to its vast waters. Its abundant fishery resources have strong export potential. However, export activities often face challenges that cause export volumes to fluctuate. This fluctuation is influenced by various factors. These factors can be minimized using statistical methods such as Principal Component Analysis (PCA) and Factor Analysis. This study includes data characterization for each variable and testing PCA and factor analysis assumptions, including multivariate normality testing, independence testing (Bartlett's test), sampling adequacy (KMO test), anti-image correlation testing, PCA testing, and factor analysis. The results indicate that the percentage contribution of fisheries to GDP, the number of coastal villages with disaster mitigation facilities, and the average daily per capita calorie consumption from fish are relatively less dispersed and not highly variable around the mean. Additionally, all data meet the assumptions, and the sample size is adequate. Factors such as aquaculture pond production and the percentage contribution of fisheries to GDP sufficiently explain the data variations.

This study aims to explore the influence of work motivation, leadership style, and compensation on employee performance at Rumah Sakit Advent Bandung. With a total population of 720 employees, the study uses a simple random sampling technique to select a sample of 88 respondents, deemed sufficiently representative. Data collection is conducted through a Likert-scale questionnaire designed to capture respondents' perceptions of work motivation, leadership style, and compensation variables. To ensure data quality, the instrument's validity is tested through factor analysis, and its reliability is measured using Cronbach’s Alpha to guarantee consistency in results. Hypothesis testing is carried out using classical assumption tests and multiple linear regression analysis via SPSS version 27.The results reveal that work motivation and compensation have a positive and significant impact on employee performance, indicating that higher motivation and compensation are associated with improved employee performance. In contrast, leadership style does not show a significant effect on employee performance, possibly due to varying perceptions of the role of leadership within this organizational context. Collectively, work motivation, leadership style, and compensation variables have a significant effect on employee performance. The obtained R Square value of 0.309 indicates that 30.9% of the variation in employee performance can be explained by these three variables, while the remaining 69.1% is influenced by other factors outside this model, such as work environment, organizational culture, or other individual factors. These findings provide valuable insights for management in designing strategies to enhance employee performance.