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Independent Nursing Practice (INP) is a form of healthcare service that provides direct care to the community, including Homecare services. Public interest in these services is influenced by various factors; however, the dominant factors affecting interest in the Tambah Rejo area have not been clearly identified. This study aimed to identify and analyze factors associated with interest in Homecare services at independent nursing practices and to determine the most influential factor. This study employed a quantitative approach using an analytical survey design with a cross-sectional method. A total of 153 respondents were selected through purposive sampling. Data were collected using questionnaires and analyzed using the Chi-square test and multiple logistic regression. The results showed significant relationships between economic factors (p = 0.023; OR = 2.187), distance (p = 0.003; OR = 0.361), comfort (p < 0.001; OR = 49.67), service quality (p = 0.009; OR = 0.404), family support (p < 0.001; OR = 52.62), patient satisfaction (p < 0.001; OR = 0.212), and interest in Homecare services. Multiple logistic regression analysis revealed that comfort was the most dominant factor influencing interest in Homecare services (p < 0.001; OR = 0.124). Comfort was identified as the strongest determinant affecting community interest in Homecare services at independent nursing practices. Therefore, improving comfort in service delivery should be a primary priority in the development of independent nursing practices.

The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

Independent Nursing Practice (INP) is a form of healthcare service that provides direct care to the community, including Homecare services. Public interest in these services is influenced by various factors; however, the dominant factors affecting interest in the Tambah Rejo area have not been clearly identified. This study aimed to identify and analyze factors associated with interest in Homecare services at independent nursing practices and to determine the most influential factor. This study employed a quantitative approach using an analytical survey design with a cross-sectional method. A total of 153 respondents were selected through purposive sampling. Data were collected using questionnaires and analyzed using the Chi-square test and multiple logistic regression. The results showed significant relationships between economic factors (p = 0.023; OR = 2.187), distance (p = 0.003; OR = 0.361), comfort (p < 0.001; OR = 49.67), service quality (p = 0.009; OR = 0.404), family support (p < 0.001; OR = 52.62), patient satisfaction (p < 0.001; OR = 0.212), and interest in Homecare services. Multiple logistic regression analysis revealed that comfort was the most dominant factor influencing interest in Homecare services (p < 0.001; OR = 0.124). Comfort was identified as the strongest determinant affecting community interest in Homecare services at independent nursing practices. Therefore, improving comfort in service delivery should be a primary priority in the development of independent nursing practices.

This study aims to analyze the influence of Regional Original Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK), and Tax Revenue Sharing Fund (DBHP) on Regional Expenditure, as well as to analyze whether the flypaper effect phenomenon occurs in Regencies/Cities in Jambi Province during the 2017-2023 period. The data used in this study is panel data that combines time series data for 7 years and cross-section data from 11 Regencies/Cities in Jambi Province. The analysis method used is panel data regression with the selected model Fixed Effect Model (FEM). The results of the study show that simultaneously (F Test), the variables PAD, DAU, DAK, and DBHP have a significant effect on Regional Expenditure. Partially (t Test), PAD and DBHP do not have a positive and significant effect on Regional Expenditure, while DAU and DAK show a positive and significant effect on Regional Expenditure. This study also found a flypaper effect in regencies/cities in Jambi Province. This indicates that regional governments in Jambi Province tend to be more responsive in increasing regional spending using transfer funds from the central government rather than optimizing their own potential Regional Original Revenue (PAD).

Although MSMEs are crucial to the economy, the sustainability of non-franchise micro-enterprises is often hampered by suboptimal financial governance. Low utilization of financial information, lack of separation between personal and business finances, and unstructured cash flow management are challenges that can affect long-term business sustainability. This quantitative study aims to evaluate the impact of financial record keeping, capital planning, and cash cycle management on the sustainability of non-franchise micro-enterprises in Mekargalih Village, Garut Regency. Using a survey method and saturated sampling technique, data from 70 business owners were analyzed using multiple linear regression. The results of the study indicate that financial record keeping does not have a significant impact on business sustainability, indicating that recording activities are still administrative in nature and have not been optimally utilized as a basis for business decision-making. Conversely, capital planning and cash cycle management have been shown to have a positive and significant impact on business sustainability. Business owners who are able to plan capital needs and maintain smooth cash flow tend to be more able to maintain the stability of their business operations. Simultaneously, these three variables contribute 45.2% to business sustainability. This finding confirms that the ability to allocate capital andKeywords: business continuity; financial records; capital planning; cash cycle; micro-enterprises.

The quality of life and well-being of women in Indonesia can be measured through the Female Life Expectancy indicator. Data on Female Life Expectancy from 2022 to 2024 shows a nationally positive trend; however, a significant disparity persists across provinces, particularly between the Western and Eastern regions of Indonesia. The nation still faces challenges in ensuring an equitable quality of life for women, as evidenced by the national Female Life Expectancy (FLE) in 2024 at 74.21 years, which remains lower than ASEAN counterparts such as Singapore at 83.86 years. Furthermore, regional imbalances are reflected in the performance gap between D.I. Yogyakarta (77.4 years) and West Sulawesi (68.28 years). This study aims to analyze the effects of Women's Income Contribution, Access to Clean Water, the Number of Families Receiving Social Assistance, and Women's Mean Years of Schooling on Female Life Expectancy in Indonesia during the 2022–2024 period. The estimation method applied in this research is the Fixed Effect Model (FEM) via a quantitative panel data regression approach, spanning an observation area of 33 provinces (n=99). Based on the analysis, Female Life Expectancy is proven to be positively and significantly influenced by Women's Mean Years of Schooling and Access to Clean Water. These findings indicate that human resource quality and environmental conditions serve as dominant factors in driving up Female Life Expectancy. Therefore, government policy interventions should ideally focus on expanding educational access for women and ensuring the equitable distribution of clean water infrastructure.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

Income inequality is a structural development problem that can trigger social conflict, affect long-term economic growth, and hinder the achievement of SDGs. The purpose of this study is to analyze the factors that contribute to income inequality in East Java Province by combining demographic, social, and economic factors. The data used includes panel data from 38 districts and cities in East Java Province between 2017 and 2023 period. The analysis method used is panel data regression with a fixed effect model. To measure the effect of variables on income inequality, the testing was conducted partially and simultaneosly. The individual test results show that elderly dependency and poverty have a positive and significant relationship, while the human development index and economic growth are proportional but not significantly, and the open unemployment rate is not significant negative. Simultaneously, all variables have a significant effect on income inequality of 55.67 percent, with the remaining 44.37 percent influenced by variables outside the scope of this study.

This study aims to analyze the effect of public satisfaction on political participation in the 2024 single-candidate regional election (Pilkada) in Batanghari Regency. Political participation in elections is an important indicator of democratic quality, especially in a single-candidate contest where electoral competition is limited. The research employed a quantitative explanatory approach with a sample of 151 respondents selected through simple random sampling. Data were collected using structured questionnaires and analyzed using simple linear regression with IBM SPSS Statistics to determine the relationship between public satisfaction and political participation. The results indicate that public satisfaction has a positive and significant effect on political participation, with a coefficient of determination (R²) of 0.510. This means that 51% of the variation in political participation can be explained by public satisfaction, while the remaining percentage is influenced by other factors not included in this study. However, voter turnout in the 2024 election declined compared to the previous regional election. These findings suggest that public satisfaction is not the sole factor influencing political participation, as the level of political competition in a single-candidate election also plays an important and contextual role in shaping voter behavior and turnout.

This study aims to analyze the effect of cutting parameters on surface roughness in the turning process of AISI 1045 steel. The investigated parameters include cutting speed, feed rate, and depth of cut. A quantitative approach was employed using multiple linear regression analysis with SPSS software. The dataset consisted of 30 simulated experimental observations with varying cutting parameter conditions. Prior to regression analysis, classical assumption tests including normality, multicollinearity, and heteroscedasticity tests were conducted to ensure the validity of the model. The results indicated that all assumptions were satisfied. The findings reveal that simultaneously, all independent variables have a significant effect on surface roughness with a coefficient of determination of 82.1%. Partially, Feed rate and cutting speed significantly influence surface roughness, while depth of cut does not show a significant effect. Feed rate is identified as the most dominant variable affecting surface roughness, where an increase in Feed rate leads to higher roughness values. In contrast, increasing cutting speed tends to reduce surface roughness. This study highlights the importance of controlling cutting parameters, particularly Feed rate and cutting speed, to improve machining quality. The results provide practical implications for manufacturing industries in optimizing machining parameters to achieve better surface quality and process efficiency.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

This study aims to analyze the influence of social support and soft skills on the work readiness of the 2022 cohort students in Tasikmalaya City. Work readiness is an essential aspect that students must possess to face increasingly competitive labor market demands. This research employed a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 110 respondents selected from a population of 150 students using the Slovin formula with a 5% margin of error and a simple random sampling technique. Data analysis was conducted using multiple linear regression with the assistance of IBM SPSS Statistics 25. Prior to hypothesis testing, validity and reliability tests were performed to ensure the quality of the research instruments. In addition, classical assumption tests, including normality, multicollinearity, heteroscedasticity, autocorrelation, and linearity tests, were conducted to verify the suitability of the regression model. The findings indicate that both social support and soft skills have a positive and significant effect on students’ work readiness. Support from family, peers, and the academic environment enhances students’ confidence in preparing for employment. Furthermore, communication skills, teamwork, problem-solving abilities, and responsibility as components of soft skills strengthen students’ readiness to enter the professional workforce. These findings highlight the importance of developing soft skills and strengthening social support to improve students’ work readiness.

Students who silmutaneously work and study often face dual responsibilities that require careful planning of their time between job duties and academic obligations. This scenario can influence academic perfomance, highlighting the importance of effective time management for optimal study outcomes. The present study investigates the influence of study time management on the academic perfomance of working student. A quantitative research method with a correlational design was employed, the study sampled 108 working the sample consisted of students selected via puposive sampling. Data were collected via an online questionnaire consisting of 12 items and acdemic achievment was measured using the responden semester grade point average (GPA). To ensure the instrument was reliable Cronbach’s alpha was calculated, resulting in a value of 0.607, indicating acceptable consistency. Analysis using sample linear regression in spss revealed that study time management significantly and positively affects academic perfomance (p=0.012<0.05). Study time management explains approximately 5.9% of the variance in academic achievement, as indicated by an (R²) of 0.059. whereas the remaining 94.1% is determined by other influences.

This study aimed to examine: (1) the effect of Scout coaching on students’ character development; (2) the effect of SISPALA coaching on students’ character development; and (3) the simultaneous effect of Scout and SISPALA coaching on students’ character development at Darussalam Pannyangkalang Islamic Senior High School, Gowa Regency. This research employed a descriptive correlational quantitative approach with a cross-sectional design. The population consisted of all students actively participating in Scout and SISPALA activities. Using total sampling, 24 students were selected as respondents. Data were collected through questionnaires and documentation and analyzed using simple and multiple linear regression with SPSS. The findings revealed that Scout coaching had a positive and significant effect on students’ character development (t = 4.083, p = 0.000 < 0.05). SISPALA coaching also had a positive and significant effect (t = 2.888, p = 0.009 < 0.05). Simultaneously, Scout and SISPALA coaching significantly affected students’ character development (F = 11.911, p = 0.000 < 0.05). The coefficient of determination (R² = 0.531) indicated that 53.1% of the variance in character development was explained by Scout and SISPALA coaching.

This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

Golf participation has increasingly become a lifestyle-oriented recreational activity that combines physical exercise, social interaction, and personal identity. However, participation decisions are not only shaped by individual interest, but also by demographic readiness, psychographic orientation, digital promotional exposure, and psychological commitment to the sport. This study aims to examine the influence of demographic factors, psychographic factors, and digital promotion on golf participation decisions in Bandar Lampung, with sport commitment as a mediating variable. A quantitative survey approach was employed using purposive sampling. Data were collected from 287 golf participants through a structured questionnaire measured with a five-point Likert scale. The data were analyzed using multiple linear regression and Sobel mediation testing. The findings show that demographic factors, psychographic factors, digital promotion, and sport commitment have positive and significant effects on golf participation decisions. Sport commitment was found to be the strongest predictor and significantly mediated the relationship between demographic factors, psychographic factors, digital promotion, and golf participation decisions. These results indicate that golf participation is influenced not only by access, lifestyle, and digital promotion, but also by the level of commitment developed by participants. This study contributes to sport marketing literature by integrating individual, psychological, and digital factors into one empirical model of golf participation behavior.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

Quantitative analysis based on multiple linear regression was applied in this study to test the hypothesis regarding the influence of Employee Competence and Organizational Culture variables on the Quality of Public Services in the Regional Secretariat of Gorontalo City. Through the involvement of sample data from 47 respondents, a partial analysis portrait shows that the Employee Competence dimension contributes positively and significantly to escalating service quality with a share of 31.40%. On the other hand, the Organizational Culture component also recorded a significant positive impact with an influence of 47.30%. In aggregate (simultaneous), the combination of apparatus competence and strengthening institutional culture triggers a significant acceleration of public service quality with a determination value of 78.70%. The proportion of the remaining variance in the goodness of fit of the model is influenced by variables outside the scope of this research. Based on this basis, efforts to increase employee expertise capacity and improve organizational values ​​​​are crucial instruments for optimizing public service standardization.

The quick advancement of digital technology has drastically changed the social and religious life of Indonesian teenagers. The purpose of this study is to investigate how pupils at Al Muslim Junior High School's daily worship practices, self-control, and fear of missing out (FoMO) affect the principles of Islamic Religious Education (PAI). The study used a quantitative methodology with a causal and correlational design. All students in grades VII, VIII, and IX made up the study population for the 2025–2026 school year. Using the Slovin formula, a proportionate stratified sample of 171 students with a 5% margin of error was chosen. A five-point Likert scale questionnaire was used to gather data. The Pearson Product-Moment correlation (r > 0.30) was used to evaluate validity, while Cronbach's Alpha (α > 0.70) was used to test reliability. Multiple linear regression using SPSS version 26 was used for quantitative analysis, beginning with traditional assumption tests for heteroscedasticity (Glejser), multicollinearity (VIF), and normality (Kolmogorov-Smirnov). According to the analysis results, self-control had a substantial, favorable impact on the practice of PAI values, but FoMO had no significant influence (β = -0.034, p = 0.530).

This study examines the role of extension agents in supporting the success of beef cattle farmer groups in Tabongo District, Gorontalo Regency. The success of farmer groups is influenced not only by livestock potential, but also by the effectiveness of extension services, institutional capacity, and farmers’ willingness to adopt improved farming practices. Using an explanatory approach, the study collected primary data from 50 members of beef cattle farmer groups across nine villages through a Likert-scale questionnaire. Data were analyzed using descriptive statistics, validity and reliability tests, classical assumption tests, and multiple linear regression. The descriptive findings show that extension agents performed well as educators, facilitators, motivators, dynamizers, and catalysts. However, the catalyst role was excluded from the regression model because its indicators were invalid. Partially, only the motivator role had a significant effect on group success, with a coefficient of 1.683, t-value of 4.758, and significance value of 0.000. The educator, facilitator, and dynamizer roles showed positive but insignificant effects. Simultaneously, the roles of extension agents significantly influenced group success, with an F-value of 9.474 and significance value of 0.000. The R Square value of 0.457 indicates that extension agents explained 45.7% of group success.