Publication Search

This article examines the implementation of the Quality Control (QC) system at PT Yakult Indonesia Persada as part of the Field Work Lecture (KKL) activities. The main focus of the research is how the company maintains the consistency of the quality of probiotic products through thorough quality control. This research aims to provide an in-depth understanding of the implementation of QC which includes physical, chemical, microbiological testing, and quality assurance of production equipment. The methods used are direct observation in the field and literature review related to food quality standards. The results of the observation show that PT Yakult applies the principles of Good Manufacturing Practices (GMP), Statistical Process Control (SPC), and Total Quality Management (TQM) in an integrated manner in the entire production process. Quality control is carried out through Specific Gravity (SG), pH, and the number of Lactobacillus casei Shirota bacteria with a minimum standard of 6.5 billion per bottle. In addition, sterilization of production equipment is carried out in layers and validated through laboratory tests, and is supported by systematic recording of test results. These findings show that the QC system at PT Yakult not only focuses on the final product, but also covers the entire production stage. With this approach, the company is able to consistently ensure the quality, safety, and health benefits of products, as well as meet applicable food industry standards.

The role of the Regional People's Representative Council (DPRD) Secretariat is crucial in supporting the effective supervision function of the DPRD as a pillar of good governance. However, at the Cilegon City DPRD Secretariat, this role faces significant constraints due to a policy of assigning staff to assist in work visits that is not competency-based, which risks weakening local government accountability. This research aims to analyze the facilitation role of the Cilegon City DPRD Secretariat, identify the constraints arising from the removal of expert supervision staff, and formulate optimization strategies to strengthen the institution's role. This study uses a qualitative descriptive method, with data collected through in-depth interviews with key informants within the Secretariat, observation, and document analysis. The research findings indicate that (1) the Secretariat's role has been degraded to be administrative rather than substantive; (2) the main constraint stems from a staff assignment system that ignores competence, which leads to a decline in the quality of supervision reports; and (3) there is an urgent need to reform the human resource management (HRM) system. It is concluded that the optimization of the Secretariat's role can only be achieved by reforming the staff assignment policy and implementing structured competency development programs to restore professionalism and effective support for the DPRD's supervision function. Therefore, this research recommends three strategic steps: in the short term, revising the staff assignment policy to prioritize competence; in the medium term, developing and implementing clear Competency-Based HRM Guidelines; and in the long term, organizing continuous functional training programs to enhance staff capacity in professionally and effectively supporting the DPRD's supervision function.

PT. Surya Pratista Hutama, as a company committed to improving the quality of its human resources, continues to strive to provide innovations to support employee competency development. One strategic step taken is the implementation of a Learning Management System LMS as a form of learning innovation in the digital era. This LMS implementation is not only intended as a means of knowledge transfer, but also as a medium to create a culture of sustainable learning within the company environment. The observation conducted aims to determine the extent to which the LMS can support the learning process in the company, with a focus on its effectiveness, challenges, and impact on improving employee competency. The method used is a descriptive study with a qualitative approach, through interviews, direct observation, and documentation related to digital-based learning activities. The observation results show that the implementation of the LMS provides various benefits, including easy access to learning anytime and anywhere, flexibility that allows employees to adjust their learning schedules to work activities, and increased motivation and independence in learning. However, there are several obstacles that require attention, such as limited digital literacy among some users, lack of direct interaction between instructors and participants, and the need to adjust content to be more relevant to daily work demands. Overall, the LMS has great potential to improve the effectiveness of training at PT. Surya Pratista Hutama.

This study explores the alignment between science learning practices and children’s cognitive development stages based on Jean Piaget’s theory. Ten academic publications were systematically reviewed to examine how Piaget’s framework can be applied in science education. The findings highlight that integrating cognitive development theory is highly relevant for improving the quality of teaching and learning in schools. At the concrete operational stage (approximately 7–11 years), children learn best through direct experiences, manipulation of real objects, contextual media, and experiments that connect concepts with daily life. These methods help foster curiosity and reinforce conceptual understanding. As learners progress to the formal operational stage (around 11 years and above), they begin to think abstractly, reason logically, and analyze critically. At this level, student-centered approaches, inquiry-based methods, and constructivist learning become more effective in enhancing problem-solving, creativity, and higher-order thinking skills. The review also indicates that adapting instruction to developmental stages supports more meaningful and sustainable learning outcomes. In the Indonesian educational context, this approach can address challenges such as limited classroom facilities, diverse student learning styles, and a curriculum that is often overloaded. By applying Piaget’s insights, teachers can design learning strategies that bridge abstract concepts with concrete understanding, thus increasing student motivation and engagement. In conclusion, aligning science education with Piaget’s cognitive stages is an effective way to improve student performance and ensure long-term academic growth. The study provides valuable input for teachers, researchers, and policymakers in developing innovative, student-centered science and mathematics education.

This study aims to analyze the contribution of the Amil Zakat, Infak, and Sedekah Institution of Nahdlatul Ulama in the Special Region of Yogyakarta (LAZISNU DIY) in supporting the achievement of the Sustainable Development Goals (SDGs) through the optimization of Islamic social fund management. The main issue examined is how the strategies, program models, and implementation carried out by LAZISNU DIY can generate tangible impacts on community empowerment across various aspects of sustainable development. This research employs a descriptive qualitative approach with data collected through in-depth interviews, field observations, and institutional documentation. The findings reveal that LAZISNU DIY’s five core program pillars education, health, economy, environment, and humanitarian-da‘wah are systematically integrated with SDG targets. Concrete contributions are evident in poverty alleviation, improving access to and quality of education, providing inclusive health services, strengthening micro, small, and medium enterprises (MSME)-based economic empowerment, and promoting participatory environmental conservation. Several innovations, such as strengthening the Zakat, Infak, and Sedekah Management Network (JPZIS), fostering strategic collaboration with pesantren and local communities, and implementing digitalization in the donation system, have significantly enhanced the effectiveness and outreach of the programs. The study affirms that LAZISNU DIY is not merely a zakat distribution institution but also a social change agent that emphasizes Islamic values and local wisdom in advancing sustainable development. Thus, LAZISNU DIY’s role is increasingly relevant in supporting the global SDG agenda while simultaneously reinforcing community social resilience at the local level. Recommendations are provided to strengthen cross-sector collaboration and establish an SDGs indicator-based evaluation system to ensure program objectives.

The research project is titled Production Potential of Bitter Melons (Momordica charantia L.) Using POC Azolla and AB Mix on the Deep Flow Technique (DFT) System was carried out in Bungin, North Makale District, Tana Toraja Regency from May to August 2025. This study aims to determine the economic potential of bitter melon plants by providing AB Mix and POC Azolla nutrients in hydroponic methods and analyze the best influence of these nutrient combinations on the growth and production of bitter melon plants. The research method used was a Group Random Design (RAK) with four treatments, namely 100% AB Mix, AB Mix 80% + POC Azolla 20%, AB Mix 70% + POC Azolla 30%, and AB Mix 60% + POC Azolla 40%. The results of the study showed that P1 treatment (AB Mix 80% + POC Azolla 20%) had the best influence on the vegetative and generative growth of bitter melon plants. This treatment results in a higher average plant height, leaf count, and fruit weight than other treatments. This proves that the combination of Azolla liquid organic fertilizer (POC) with AB Mix is able to provide a balance of nutrients that support photosynthesis, tissue formation, and fruit quality. In addition, the application of the DFT hydroponic system has been proven to increase the efficiency of water and fertilizer use, reduce the risk of soil pest attacks, and produce more hygienic bitter melon products. These findings show that hydroponic cultivation innovation with the use of POC Azolla can be a sustainable solution in supporting food security while being environmentally friendly. Thus, this research makes an important contribution to the development of modern agricultural technology, especially in optimizing the production of vegetables with high economic value.

The Regional Drinking Water Company (PDAM) Tirta Perwira Purbalingga is a regional institution that provides clean water services to 62,748 customers in Purbalingga Regency. The company’s performance is strongly influenced by the quality of its human resources. This study aims to analyze the effect of training, work climate, and job rotation on employee performance. The research used a quantitative approach with descriptive methods and data processing through SPSS version 25.0. The population consisted of 164 employees, with a sample of 62 respondents determined by the Slovin formula (10%) using stratified random sampling. The results showed that training and work climate had a positive and significant effect on employee performance, while job rotation did not have a significant effect. The coefficient of determination (R²) was 96.4%, meaning that the three variables together explained 96.4% of employee performance, while the remaining 3.6% was influenced by other factors not examined in this study. These findings indicate that systematic training and a supportive work climate are the dominant factors in improving performance, whereas job rotation requires better alignment with employee competencies to be effective. In conclusion, PDAM Tirta Perwira needs to strengthen its training programs, foster a conducive work atmosphere, and carefully evaluate job rotation policies. The results of this study are expected to contribute to the development of human resource management strategies and provide reference material for future research on organizational performance.

This study aims to analyze the thermal performance of the heating system in a small-scale plastic bolt molding machine using LDPE material, in order to determine process parameters that are efficient while maintaining product quality. The method used includes experimental testing at two set-point temperatures (90 °C and 120 °C), measurement of melting time and feed mass per cycle, as well as heat balance calculations separating the contributions of conduction, convection, and radiation on the barrel heated by a band heater. In addition, the power/energy requirement per cycle and productivity projections based on hopper capacity were calculated. The results show that increasing the set-point from 90 °C to 120 °C accelerates melting from ±240 s to ±180 s (≈25% faster). Heat transfer analysis confirmed the dominance of conduction (≈329.7 W at 90 °C and ≈471 W at 120 °C), while convection and radiation contributions were much smaller; the total system heat rate was ≈342.7 W (90 °C) and ≈490.8 W (120 °C). The discussion highlights the process trade-off: higher set-points increase production rate and mold filling quality (due to lower melt viscosity), but may raise energy consumption per cycle and require tighter mold temperature control to limit shrinkage/warpage. The practical implications for SMEs are the need for efficiency strategies based on barrel insulation, heater contact area optimization, and correlation of temperature-time settings with quality and energy consumption targets. This study concludes that controlled temperature and heating duration, supported by simple yet targeted thermal design, can improve cycle time consistency, dimensional precision, and energy efficiency in small-scale plastic bolt molding machines.

Shadow puppet craft training is a strategic intervention in preserving cultural heritage and strengthening the creative economy sector in Indonesia. To ensure the effectiveness and efficiency of training, a planning approach is needed that is not only conventional, but also based on quantitative analysis and intelligent systems. This community service proposes a training planning strategy using an interdisciplinary approach involving Operation Research, Design of Experiment (DoE), Simulation, Metaheuristic Algorithms, and Data Mining. This study begins with the identification of key training variables, such as duration, number of participants, initial competency level, teaching materials, and instructor resources. Through the DoE approach, various combinations of variables are systematically tested to identify the optimal training design. Next, Simulation is used to model the dynamics of training implementation and evaluate implementation scenarios. To predict training needs and participant behavior, Data Mining techniques are applied to historical data of arts community training. In the final stage, Metaheuristic algorithms such as Genetic Algorithm and Simulated Annealing are used to solve complex and large-scale scheduling and resource allocation problems. The results of the integration of these approaches show an increase in training efficiency of up to 27% as well as increased participant satisfaction and the quality of work results. This activity demonstrates that applying a quantitative, data-driven approach to traditional crafts training planning can provide significant added value. This model can be replicated in other training programs based on local wisdom and other creative industry sectors.

This study aims to examine the effect of employee performance and employee competence on the effectiveness of accounting information systems (AIS) at Koperasi Simpan Pinjam Tuke Jung. The research method applied is quantitative with a descriptive analysis approach. The data analysis techniques used include data quality tests, classical assumption tests, multiple linear regression analysis, hypothesis testing through t-test and F-test, as well as the coefficient of determination (R²). The sample of this study consisted of 40 employees of KSP Tuke Jung. The results indicate that employee performance has a positive and significant effect on the effectiveness of the accounting information system. Employee competence also has a positive and significant effect on the effectiveness of the accounting information system. Simultaneously, employee performance and competence have a positive and significant influence on the effectiveness of the accounting information system, as reflected in the coefficient of determination (R²), which shows the contribution of the independent variables to the dependent variable. Based on these findings, it can be concluded that improving employee performance and competence will enhance the effectiveness of the accounting information system implementation at KSP Tuke Jung.

This research aimed to know and analyze the implementation of financial accounting information systems in improving the quality of financial statements at the Wair Pu'an Regional Drinking Water Public Company, Sikka Regency. Data were collected using observation, interview and documentation methods. This research used a qualitative descriptive method in which the researcher described and analyzed the implementation of financial accounting information systems. The results showed that the implementation of financial accounting information systems had already used SISKA Application but it had a lack of relevant time in presenting and inputting the financial statement.

Child developmental delay is a public health issue that needs to be identified early to prevent long-term impacts on children’s quality of life. In Rantau Prapat Sub-district, cases are still found among toddlers with undernutrition, incomplete immunizations, and suboptimal developmental stimulation, which may pose risks of growth and developmental delays. This study aims to apply the Naive Bayes method in identifying child developmental delays based on health data collected through medical records and questionnaires. The research method includes data collection, pre-processing (cleaning, transformation, and normalization), classification using the Naive Bayes algorithm, and model validation with the k-fold cross-validation technique. The results showed that out of 150 toddler data samples, 30.7% experienced developmental delays, with the dominant influencing factors being nutritional status and immunization completeness. The Naive Bayes algorithm achieved an accuracy rate of 87.3% with a precision of 84.1%, recall of 85.7%, and F1-score of 84.9%. These findings demonstrate that Naive Bayes can be used as a decision support system in the early identification process of child developmental delays. Therefore, the results of this study are expected to assist healthcare workers, particularly midwives, in improving the quality of early detection and delivering more targeted interventions for children in the Rantau Prapat area.

This study aims to analyze the socialization process of implementing a mobile application for English language learning among Information Systems students and to evaluate the effectiveness of the socialization. The research employs a descriptive qualitative method, collecting data through observation, interviews, questionnaires, and documentation. The subjects consist of 30 students purposively selected based on their interest and readiness to participate in the socialization. The socialization process includes material delivery, application demonstration, and brief training. Results show an increase in students’ positive perceptions regarding the ease of use and benefits of the application in supporting English learning. Additionally, students’ learning interest significantly improved after the socialization. The effectiveness evaluation reveals that the delivered material is easy to understand, and the interactive methods successfully engage student enthusiasm. The usage of the mobile application among students notably increased, both in terms of downloads and routine usage frequency. However, some challenges remain related to motivation for consistent application use, which should be addressed in future development and socialization efforts. This study recommends enhancing technical support and motivation strategies to encourage sustainable adoption. Thus, implementing mobile applications in English learning can be an effective alternative to improve learning quality in the digital era.

This study aims to examine whether human resource competency mediates the influence of accounting information systems on the quality of financial reports at Obor Mas Credit Union, Sikka Main Branch. The study employs a quantitative approach using a survey method. The population consists of all employees at Obor Mas Credit Union, Sikka Main Branch, with a saturated sampling technique, resulting in a sample size of 41 respondents. The data used in this study are quantitative, collected through questionnaires completed by respondents using a Likert scale. Data analysis was conducted using the SPSS (Statistical Package for the Social Sciences) version 2025 software. The findings indicate that human resource competency mediates the relationship between accounting information systems and the quality of financial reports. The Sobel test results show a calculated t-value of 2.100841, which is greater than the critical t-value at a significance level of 0.05, namely 2.0195 (2.100841 > 2.0195).

This study aimed to determine the influence of Accounting Information System on the quality of financial statements whit internal control as a moderating variable. This rescarch employed a quantitative descriptive method, whit data obtained through questionnaires and literatur riview. The findings indicate that the accounting information system variabel had a significan effect on the quality of financial statemens. Internal control also had a significan effect on the quality of financial statemens. Furthemore, the results showed that internal control moderated the relationship between accounting information system and the quality of financial statemens, meaning that internal control strengthened the effect of accounting information systems on the quality of financial statements. Accounting information system internal control together accounted for 89.9 percent of the variation in the quality of financial statements, while the remaining 10.1 percent was, influenced by other variables

Work fatigue is a significant issue faced by employees in Indonesia, with approximately 65% experiencing symptoms that reduce their concentration and performance. Excessive workload, particularly mental workload, can result in cognitive strain and decreased productivity. This study aims to measure the level of mental workload experienced by quality control employees at PT Delta Dunia Tekstil I using the NASA Task Load Index (NASA-TLX) method. The research also investigates the relationship between employees’ age, length of service, and perceived mental workload through T-tests and F-tests to provide a more comprehensive analysis. Data were collected from 20 quality control employees who are responsible for monitoring textile production under strict standards. Results from NASA-TLX calculations indicate that the average mental workload falls within the high category, with effort and own performance emerging as the dominant dimensions contributing to mental strain. Correlation analysis shows a negative but not statistically significant relationship between age, length of service, and mental workload, suggesting that other factors play a stronger role in shaping employees’ perceptions. The study further highlights fluctuations in employee attendance and quality performance indicators, emphasizing the importance of workload evaluation. To address these issues, recommendations include adding more operators per machine, which is projected to reduce mental workload scores by approximately 33%. Such measures can optimize task distribution, improve efficiency, and promote employee well-being. Overall, the findings suggest that systematic workload assessments using tools such as NASA-TLX are essential for enhancing productivity and supporting sustainable human resource management in the textile industry.

In the automotive manufacturing industry, efficiency in quality control is a crucial factor to ensure consistent product quality. Conventional Quality Assurance (QA) processes using manual record-keeping often face challenges such as delayed reporting, human errors, and difficulty in tracking historical data. This study aims to design and implement a QA performance dashboard based on digital forms at PT Dharma Polimetal, Tbk, to enhance efficiency in production quality control. The research methodology includes direct field observation, collection of production and QA data, mapping of QA process flows, interactive dashboard interface design, and system trial implementation. The designed dashboard focuses on four main aspects: QA Incoming, QC Line, QC Gate, and Customer Handling, each containing measurable performance indicators and quality parameters. Initial implementation results indicate significant improvements in QA process monitoring, faster reporting of inspection results, and easier real-time data access for both production teams and management. The system enables early detection of potential quality issues, supports rapid decision-making, and facilitates internal and external audits. Moreover, the use of digital forms within the dashboard enhances data accuracy, minimizes human error, and creates structured historical records for long-term analysis. This study provides a tangible contribution to the digitalization of QA systems, strengthening sustainable quality control practices in the automotive industry, thereby ensuring consistent productivity and product quality.

Training and development of human resources (HR) in educational institutions are crucial for enhancing the quality of education and educators’ ability to face increasingly complex teaching challenges. This study aims to analyze effective strategies for HR training and development in educational settings, using a Systematic Literature Review (SLR) approach. This method was used to identify, evaluate, and summarize key findings from relevant studies on HR training and development in the education sector. The results indicate that competency-based training, the use of technology in learning, and collaborative learning are strategies that have proven effective in improving educators’ performance. However, challenges such as resource limitations, infrastructure, and managerial support pose barriers that need to be addressed to maximize training effectiveness. These findings provide valuable insights for educational institutions in designing more sustainable and relevant training programs in line with evolving educational demands.

Human Organization Technology Net-Benefit (HOT-Fit) model is used to analyze information systems through 4 (four) dimensions: people, organization, technology, and net benefits. This study aims to analyze the implementation of RME with the HOT-Fit approach through data integration at RSIA Assyifa, Tangerang City. The research method is quantitative with data collection using a questionnaire distributed via Google Form. The sample consisted of 95 respondents of health workers and non-health workers who used RME. Data analysis was carried out using Structural Equation Modeling-Partial Least Square (SEM-PLS) version 3.0. In this study, there are 22 hypotheses, consisting of 17 direct influences and 5 (five) indirect influences. The results of the study show that system quality, information quality, and service quality have a significant positive effect on system use. Furthermore, system quality and information quality have a significant positive effect on user satisfaction, but service satisfaction does not affect user satisfaction. Next, system quality has a significant positive effect on organizational structure, as well as service quality which has a significant positive effect on the organizational environment. In addition, the organizational environment has a significant positive effect on net benefits, but in contrast to the variables of system usage, user satisfaction, and organizational structure which do not have a significant effect on net benefits. Related to the organizational aspect, the net benefit aspect, and data integration have a significant positive effect on RME implementation, while the technology aspect and human aspect do not have a significant effect on RME implementation. Data integration mediates the indirect effect of the technology aspect, the organization aspect, and the net benefit aspect on RME implementation, while data integration does not mediate the effect of the human aspect on RME implementation.

Public Company (Perum) BULOG is a business entity engaged in food logistics and has a strategic role in national food security. However, the company faces obstacles in the implementation of the Total Quality Management (TQM) system which is not fully in accordance with the applicable Standard Operating Procedures (SOP), as well as low work motivation for some employees. This study aims to analyze the influence of TQM implementation and work motivation on employee performance at the Perum BULOG head office. The research method used was a quantitative approach with data collection techniques through interviews and questionnaire distribution to 97 respondents selected using purposive sampling techniques. The research will be carried out in May 2025. The results of the analysis showed that partially, the implementation of TQM did not have a significant effect on employee performance (tcount = 1,533 < ttable = 1,985; sig. = 0.129 > 0.05). On the other hand, work motivation has a significant influence on employee performance (tcount = 5,411 > ttable = 1,985; sig. = 0.00 < 0.05). Simultaneously, TQM and work motivation had a significant effect on employee performance (Fcal = 16,602 > Ftable = 3,093; sig. = 0.00 < 0.05). These findings indicate that increasing work motivation is a key factor in encouraging employee performance, while the implementation of TQM needs to be adjusted to SOPs to be more effective in supporting organizational productivity.