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This study aims to analyze production cost efficiency through the use of self-formulated feed based on rice bran in laying hen farming in Kutamandiri Village. Feed costs represent the largest component of production expenses in laying hen enterprises, reaching up to 60–70% of total operational costs. The research employed a descriptive quantitative approach using primary data collected through observation, interviews, and cost-revenue recording during one production period. Data were analyzed using cost structure analysis and Revenue-Cost (R/C) ratio to determine business feasibility. The results indicate that the use of rice bran-based self-formulated feed reduced feed costs and lowered total production expenses. The calculated R/C ratio was 1.43, indicating that the enterprise is financially feasible and profitable. Additionally, the findings suggest that utilizing locally available feed resources such as rice bran can improve cost efficiency, reduce reliance on external feed supplies, and enhance the sustainability of small-scale laying hen enterprises. This research provides valuable insights for farmers in Kutamandiri Village and other similar agricultural communities looking to optimize production costs and improve their profitability by adopting cost-effective, locally sourced feed options.

This study examines the effectiveness of the Jakarta Evolution (JakEVO) program in the implementation of online-based licensing services in South Jakarta, specifically for public transportation route licensing. The program was initiated as part of a public service reform effort aimed at improving accessibility, efficiency, and transparency in the licensing administration process. This study uses a qualitative descriptive approach with data collection techniques including in-depth interviews, field observations, and document studies, involving both the implementing officials at the South Jakarta UP PMPTSP and the public as service users. The findings indicate that JakEVO has positively contributed to the ease and flexibility of the licensing process, particularly in reducing the need for face-to-face interactions. However, its implementation has not yet been fully optimized due to several challenges, including limited program socialization, low digital literacy among the public, technical disruptions in the application system, and human resource capacity that is not fully adaptive to digital transformation. Additionally, the program's evaluation mechanism remains descriptive and lacks comprehensive quantitative performance indicators.

Background: The maternal mortality rate in Indonesia reaches 177 per 100,000 live births, with 75 percent of deaths occurring in the first week of the postpartum period. The partnership between midwives and village shamans is an adaptive strategy to optimize maternal health services, but its implementation still faces various systemic obstacles. Objective: To analyze factors related to the partnership of village midwives and shamans in caring for postpartum mothers in the BLUD area of the Tumpung Laung Health Center UPT. Methods: A quantitative study with a cross-sectional design involved 50 respondents using a total sampling technique. Data were collected through a structured questionnaire and analyzed using the Chi-square test with a significance level of p<0.05. Results: There was a significant relationship between age (p=0.032), work experience (p=0.048), education (p=0.000), knowledge (p=0.000), competence (p=0.000), quality of communication (p=0.000), frequency of interaction (p=0.000), policy support (p=0.000), and availability of facilities (p=0.000) with partnership effectiveness. Conclusions: Effective partnerships are influenced by a multiplicity of factors at the individual, interpersonal, and structural levels, requiring holistic interventions through capacity building, communication strengthening, and comprehensive policy support to accelerate maternal mortality reduction.

Micro, Small, and Medium Enterprises (MSMEs) face significant challenges in financial management, particularly related to transparency and reliability of transaction tracking, which hinders their access to formal financing. This study aims to synthesize scientific evidence regarding the application of blockchain technology in improving the tracking and transparency of financial transactions in MSMEs. Using a Systematic Literature Review (SLR) or Wide Research approach with the PICOS framework, ten (10) relevant primary studies (original research papers) were identified, selected, and analyzed. The synthesis results show that blockchain significantly improves transparency, data security, and cost efficiency in tracking MSME transactions, and has great potential in increasing access to financing through a more credible credit scoring system. However, the main challenges lie in the high initial implementation costs and the need for digital literacy. This study provides a clear roadmap for researchers, policymakers, and practitioners to optimize the adoption of blockchain technology in the MSME sector.

This study aims to identify and analyze the contribution of the Mosque Welfare Board in improving the religious attitudes of the community around Ar-Ridha Mosque, Titipapan. This research employed a qualitative approach with data collection techniques including interviews with informants and documentation studies. The results indicate that many mosques are still only used as places for ritual worship and have not been optimized as facilities for empowering the Islamic capacity of the surrounding community. In fact, mosques should not only function as places for congregational prayers but also serve as centers for social, economic, and educational development. At Ar-Ridha Mosque, the utilization of facilities and infrastructure as well as activity management has not been optimal, which affects the comfort and participation of the congregation. Therefore, greater seriousness and responsibility from the mosque administrators are needed to ensure that the mosque functions effectively as a center for fostering the community’s religious development.

This research looks into how site managers in construction projects in Malang City manage and improve their use of human resources. The research is driven by the significance of effective human resource management in ensuring project success and the lack of studies focusing on the operational strategies of site managers within a local context. This study uses a quantitative method that is both descriptive and analytical. It involves giving out a survey to 40 people, including site managers, contractors, and foremen. The independent variables include leadership and supervisory style, human resource planning and workforce allocation, training and competency development, team communication and coordination, performance monitoring and evaluation, as well as motivation and welfare. The dependent variable is the degree to which human resource management is optimized. The results of validity and reliability tests indicate that all research instruments are valid and reliable. Multiple linear regression analysis shows that leadership and supervisory style, along with human resource planning and workforce allocation, have a significant partial effect on improving HRM practices. Other variables have a positive but statistically insignificant partial effect on the estate. Overall, the management of human resources in construction projects in Malang City is considered to be fairly good. This study confirms that leadership and workforce planning are the main strategic factors for site managers in improving the effectiveness of human resource management in construction projects.

Human Resource Management (HRM) plays a crucial role in ensuring that a company is able to grow, compete, and sustain its operations in an increasingly dynamic business environment. Effective HRM practices help organizations optimize employee performance, improve productivity, and maintain workforce stability. One of the key aspects of HRM that significantly influences employee performance is workload and job satisfaction. An imbalance in workload or low levels of job satisfaction may lead to decreased motivation, stress, and reduced work performance. This research aims to explore and evaluate the levels of workload and job satisfaction among employees at PT Indomarco Tangerang 1. Understanding these factors is essential to identify potential problems that may affect employee performance and organizational effectiveness. The study employs a quantitative research approach, which involves collecting numerical data that can be statistically analyzed to provide objective and measurable results. Data were gathered through structured questionnaires distributed to employees. A total of 30 employees from various divisions at PT Indomarco Tangerang 1 participated in this study. Statistical analysis was used to assess the relationship between workload and job satisfaction, as well as their overall condition within the company. The findings of this research are expected to provide useful insights for management in developing appropriate strategies to manage workload effectively and enhance job satisfaction. Ultimately, improving these aspects is expected to contribute to higher employee performance and support the long-term success of the company.

This study discusses the implementation of the Yanbu'a Method at Pondok Pesantren Tanwirul Qulub. The education sector today faces various changes influenced by the rapid advancement of knowledge, technology, and the impact of globalization, which also affects religious education, particularly in the teaching of the Qur'an. One of the main obstacles in Qur'anic teaching is the use of methods that do not align with the tajwid or makhorijul huruf as taught by Prophet Muhammad SAW. This can lead to critical errors in reading the Qur'an. Therefore, this study aims to explore the challenges that arise in the process of teaching the Qur'an using the Yanbu'a Method at Pondok Pesantren Tanwirul Qulub, which is applied by KH. Agus Musta'in Ilyas. This research uses a qualitative approach based on Max Weber's Verstehen theory. The results show that the obstacles in implementing the Yanbu'a Method include a lack of coordination among teachers, significant differences in students' abilities, low student discipline in muroja'ah, and students' activities outside Qur'anic learning hours. To optimize the implementation of this method, it is recommended to provide teacher training and workshops, group students based on their abilities, strengthen evaluation and monitoring, establish consistent learning schedules, and increase student motivation.

The decline in service quality observed in 2023, such as frequent malfunctions of queue management machines and slow credit processing, indicates that the implementation of Total Quality Management (TQM) at PT Bank Pembangunan Daerah Sulawesi Tenggara, Wakatobi Branch, has not been fully optimized. These issues are particularly evident in aspects of continuous improvement, employee education and training, long-term management commitment, and employee involvement and empowerment. Therefore, this study aims to analyze the effect of Total Quality Management implementation on employee performance at PT BPD Sultra Wakatobi Branch. This research was conducted from February to August 2024 in Wangi-Wangi Regency. The study employed a quantitative research design using a census approach, in which all 40 employees were included as respondents. The data used in this study consisted of primary data collected through questionnaires and secondary data obtained from company documents. Descriptive analysis and Structural Equation Modeling–Partial Least Squares (SEM-PLS) were applied to examine the relationship between TQM and employee performance. The results reveal that long-term management commitment as well as employee involvement and empowerment have a significant effect on employee performance. In contrast, continuous improvement and education and training do not show a significant influence, indicating the need for further evaluation and improvement to strengthen the future implementation of Total Quality Management and enhance organizational performance.

In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the entire year of 2025. The ETL stage focused on data cleaning and handling missing values, while time series analysis began with the Augmented Dickey-Fuller (ADF) stationarity test, which yielded a significant p-value of 0.000006. The parameter model was optimized using the auto_arima algorithm, which determined the ARIMA(2,0,0) configuration as the best model. The evaluation results of the model show fairly stable performance with a Root Mean Squared Error (RMSE) value of 2.002 and a Mean Absolute Error (MAE) of 1.704 on the test data. Research findings reveal a consistently higher purchasing pattern during the mid-month and end-of-month periods, with an average of 5.52 daily transactions, compared to the beginning of the month, which saw 5.48 transactions. The 30-day forecast results provide valuable insights for online store managers to proactively adjust inventory and logistics workforce allocation strategies. This research concludes that integrating data engineering techniques and statistical analysis can provide predictive solutions for the dynamics of the digital market.

This paper aims to describe the implementation and development of the Merdeka Curriculum at SD IT Permata Hati Entrop, an Integrated Islamic Elementary School. As an educational institution with a vision of integrating general knowledge with Islamic values, SD IT Permata Hati adapts the national curriculum to create learning that is more flexible, focused on essential content, and character-based. This curriculum is developed to optimize students’ potential holistically, encompassing cognitive, affective, and psychomotor aspects through the strengthening of the Pancasila Student Profile.The main focus of curriculum development at this school consists of three pillars: innovative intracurricular learning, the Project for Strengthening the Pancasila Student Profile (P5), and extracurricular activities that support students’ interests and talents. In its implementation, the school applies active learning methods such as Problem-Based Learning (PBL) and contextual learning linked to daily life and Islamic principles. The evaluation process is conducted through formative and summative assessments that are humanistic and reflective in nature. The outcomes of this development are expected to equip students with 21st-century skills and strong religious character in accordance with the demands of the times.

Digital transformation in the management of state property is a necessary step towards achieving transparent and accountable governance. The Minstry of Finance, through the Directorate General of State Assets, has developed the State Asset Management Information System Version 2 application as a means of digital based management, but its implementation still faces challenges related to interest in its use by work unit operators. This study aims to evaluate the impact of intentions, attitudes, and subjective norms on interest in using the SIMAN V2 application at the Surabaya State Assets and Auction Service Office using the Theory of Reasoned Action (TRA) approach. Using a quantitative design through a survey, this study was conducted at the Surabaya KPKNL with subjects being SIMAN V2 application operators in work units in the working area. Data colection techniques used a questionnaire with a Likert scale. Data analysis was performed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS software. The results of the study indicate that intention, attitude, and subjective norms have a positive and significant effect on interest in using the SIMAN V2 application. This study shows that psychological and social factors play an important role in supporting technology adoption in the public sector. The conclusion emphasizes that increased interest in use can be achieved by strengthening individual intentions, forming positive attitudes, and providing workplace support. Increased socialization, ongoing technical training, and recommendations for further research institutional supportfrom agencies to optimize the use of the SIMAN V2 application.

This study addresses the problem of how the implementation of HOTS-based Android gamification influences the higher-order thinking skills of students with ADHD, a group that often faces challenges in traditional learning environments. A quantitative experimental research design was applied, involving 26 students with ADHD from four special needs schools (SLBs) in West Kalimantan. The intervention included HOTS-oriented Android gamified learning, and students' performance was measured using pre-tests and post-tests based on HOTS-level questions. The average pre-test score was 23.72, while the post-test score increased to 53.21. A paired sample t-test showed a significant improvement (t = 8.688 > t_table = 1.708, at a 5% significance level). However, only 57.69% of students met the minimum mastery criteria (KKM = 67), indicating that 15 out of 26 students achieved the expected learning standard. The implementation of HOTS-based Android gamification significantly improved the higher-order thinking skills of students with ADHD. Nonetheless, the overall results, based on average scores and classical completeness, indicate that many students still did not reach the expected level of mastery. Further enhancements in instructional design may be necessary to optimize outcomes for this group of learners.

Basketball requires mastery of basic technical skills and supportive physical conditions, including agility, which plays a crucial role in dribbling control and game effectiveness. In the extracurricular activities of Stepa Basketball Madiun, agility training has not been applied systematically, necessitating effective training methods to enhance athletes’ abilities. This study aimed to examine the effects of zig-zag run and shuttle run exercises on athletes’ agility and to compare the effectiveness of both exercises. A numerical methodology utilizing a pre-experimental One-Group Pretest–Posttest framework was implemented. The participants comprised 12 athletes between 13 and 15 years of age, who were allocated into two intervention groups. Data were collected using the Edgren Side Step Test before and after six weeks of training, conducted three times per week, and analyzed using t-tests. The results indicated that both exercises significantly improved athletes’ agility, with shuttle run showing a slightly greater improvement than zig-zag run. These findings reinforce the concept that agility can be enhanced through structured training emphasizing directional changes and speed, and provide practical implications for coaches to integrate shuttle run and zig-zag run exercises in training programs to optimize athletes’ performance.

Land and Building Tax for Rural and Urban Areas (PBB-P2) is one of the sources of Regional Original Revenue that has a strategic role in supporting regional development financing. However, the optimization of PBB-P2 revenue still faced various problems, especially related to the inaccuracy of tax object and subject data. This study aimed to analyze the optimization of PBB-P2 revenue through the implementation of verification and validation in increasing PAD at the regional Revenue Agency (BAPENDA) of Sikka Regency. The research method used was a qualitative approach with data collection techniques through interviews, observations, and documentation.                 The results showed that the implementation of verification and validation of PBB-P2 data was able to improve the accuracy of the tax database, refine the determination of the Tax Object Sales Value, and reduce data discrepancies between the system and field conditions. These efforts had a positive impact on increasing the realization of PBB-P2 revenue and its contribution to PAD of Sikka Regency. Nevertheless, the implementation of verification and validation still faced several obstacles, such as limited human resources, suboptimal utilization of information technology, and low awareness among some taxpayers. Therefore, strengthening the data collection system, increasing the capacity of apparatus, and enhancing inter-agency synergy were required to optimize PBB-P2 revenue sustainably.

This study aimed to analyze efforts to optimize official residence rental retribution as one of the sources of Local Own-Source Revenue (PAD) in Sikka Regency. The main problem identified was the accumulation of official residence rental arrears due to the low awareness of Civil Servants (ASN) in fulfilling their payment obligations. The method used was qualitative, with data collection techniques conducted through observations and interviews during the internship program. The results of the study showed that the Regional Financial and Asset Management Agency (BPKAD) had implemented various strategic measures, such as mapping priority areas in six sub-districts, standardizing rental values through an appraisal team, and implementing a non-cash payment system through Bank NTT based on Sikka Regent Regulation No. 22 of 2024. However, strengthening law enforcement and the digitalization of asset management still need to be improved to minimize arrears

In demographic studies, population growth refers to changes in the number of inhabitants over a given period, measured by calculating numerical differences in population size and expressing them within specific time units to illustrate patterns of increase or decline. Based on data from Tembalang District in Figures 2025, the population growth rate in Kedungmundu Village rose by 0.51% between 2016 and 2025, with most residents relying on clean water services provided by PDAM Tirta Moedal as their primary source of drinking water. This study aims to estimate clean water demand based on projected population growth and to design a pipeline network system capable of meeting future needs. The analysis of water demand applies population projection methods, including arithmetic, geometric, and least square approaches, to compare their levels of accuracy, while the clean water distribution network is modeled using EPANET 2.0. One of the main challenges faced by PDAM is that service coverage has not yet been fully optimized. The ten-year projection results indicate that the arithmetic method provides a correlation value closest to 1, estimating a future population of 14,904 people with a total clean water requirement of 3.48 liters per second. To support this projected demand, the proposed network design utilizes High Density Polyethylene (HDPE) pipes with diameters of 12, 10, and 8 inches to ensure efficient and sustainable water distribution.

Indonesia, as a country with the highest seismicity in the world, requires an accurate earthquake prediction system through the use of the BMKG earthquake catalogue. This research aims to implement ETL-based data pipeline engineering to process 92,887 earthquake catalog entries for the 2008-2023 period into ready-to-use daily time series for the LSTM seismicity forecasting model. The ETL process includes raw data extraction, cleaning of 97% missing values columns on focal mechanism parameters, datetime conversion, daily resampling producing 5,200 entries with earthquake count, total magnitude, and average magnitude features, as well as Min-Max Scaler normalization for LSTM compatibility. The dataset was processed using Google Colab with a stacked LSTM architecture of two layers of 50 and 25 units, dropout 0.2, Adam optimizer, and a sequence window of 30 days to predict the daily earthquake count. The model trained for 100 epochs shows the ability to capture stable seismic activity trends with a consistent decrease in MSE loss, although it shows deviations in extreme spikes due to aftershock sequences. The ETL pipeline proved crucial in ensuring temporal consistency, 100% data completeness, and relevant physics representation, resulting in a reproducible end-to-end framework for disaster mitigation.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

Indonesian Migrant Workers (PMI) face the problem of stigmatization and negative image that has been rooted in public perception for several decades, where the social construction of TKI is dominated by narratives of exploitation, violence, and victimization reinforced by conventional mass media coverage. The phenomenon of TKI emerging as content creators on the TikTok platform opens new opportunities for migrant workers to represent themselves independently and build personal Branding that has the potential to reconstruct their image in public perception. This study aims to analyze the personal Branding strategies of TKI content creators on TikTok, measure the engagement patterns and reach of the content produced, and evaluate the transformation of public perception toward Indonesian migrant workers as an implication of these digital communication practices. This study uses a qualitative approach with a case study design to explore the process of image reconstruction through personal Branding on the TikTok platform. Data were collected through in-depth interviews with five TKI content creators who have followers ranging from 750 thousand to 2.3 million, interviews with 50 active followers, and interviews with two digital communication experts. The research findings show that TKI content creators implement personal Branding strategies through content authenticity, narrative consistency, and positioning differentiation with engagement rates. Public perception changed significantly with a decrease in negative perception from 68 percent to 18 percent and an increase in positive perception from 10 percent to 55 percent within an exposure period of more than 12 months. Image reconstruction occurs through three mechanisms: humanization that displays the human side of TKI, normalization that elevates the profession as work worthy of respect, and inspiration that demonstrates their positive achievements. This study recommends that the government and related stakeholders support digital literacy for migrant workers to optimize social media platforms as a means of empowerment, as well as promote policies that protect and appreciate the contribution of TKI as an integral part of national economic development.