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This community service aims to improve the financial literacy of MSMEs in Krikilan Village, Kalijambe District, Sragen Regency through training in the use of the SIAPIK application from Bank Indonesia. SIAPIK, or the Financial Information Recording Application System, is designed to make it easier for MSMEs to record financial transactions and prepare financial reports in accordance with MSME Financial Accounting Standards. Participants in this activity were MSMEs from Krikilan Village, Kalijambe District, Sragen Regency, totaling 20 people. This activity involved socialization and training using lecture, dialogical, and direct practice methods. The implementation of the training on July 18, 2024 showed positive results, with MSME participants now having a better understanding of the use of the SIAPIK application. This program is expected to improve the technical skills of MSMEs, facilitate access to financing, and improve the quality of their financial reports.

Organizational performance includes various indicators such as productivity, work quality, efficiency, and innovation. Challenges often arise in the performance evaluation process when not supported by an adequate system. Additionally, facilitators play a crucial role in achieving goals, but poor selection of facilitators can lead to problems like lack of participation, poor time management, and inability to resolve conflicts, negatively impacting productivity and decision quality. This study aims to develop a support system that improves performance evaluation and facilitator roles at BBPPMPV-BBL Medan. The system is expected to simplify performance evaluation, enhance resource management effectiveness, and assist facilitators in carrying out their tasks optimally. The research findings indicate that this support system provides more accurate, structured, and effective performance evaluation, while enhancing facilitators' ability to maintain focus, manage time, and resolve conflicts. Implementing this system at BBPPMPV-BBL Medan contributes to increased productivity, efficiency, and performance quality, and enables proper recognition of high-performing individuals or teams.

The increasing complexity of public demand for telecommunication services, particularly internet services, has pushed PT. Telkom, as one of the state-owned enterprises (SOEs), to continuously enhance the quality of its services. One of its flagship products, Indihome, offers faster internet connectivity compared to dial-up services. However, Indihome has been frequently criticized by customers due to service disruptions. This indicates a need for developing effective strategies to address customer complaints. The primary issue faced by the public is the lack of knowledge regarding service disruptions, leading to difficulties in explaining the problem to technicians for repair. This research aims to develop a Telkom service disruption diagnosis system that can assist the public in identifying issues early without direct consultation with an expert. The system is developed using an expert system method, where information about service disruptions is processed to generate accurate diagnoses. With this system, customers can identify the type of disruption and provide clearer information to Telkom technicians. The research findings indicate that the most common disruptions are caused by faulty adapters or modems and disconnected configurations, with a density value of 54.49%. This system is expected to improve Telkom’s public service quality, minimize customer complaints, and expedite the repair process for Indihome services.  

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.

Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder characterized by uncontrollable obsessive thoughts and compulsive behaviors. The disorder triggers anxiety in sufferers that often drives them to avoid situations or places that can trigger obsessions, such as shaking hands or using public restrooms. Proper treatment is necessary to prevent further impact on the quality of life of OCD sufferers. However, early diagnosis is often constrained by limited time and access to medical experts. To overcome this, an expert system based on the Certainty Factor method was developed. This system mimics the thought process of a medical expert in diagnosing OCD using symptoms selected by the user. Certainty Factor is used to calculate the certainty level of each diagnosis based on the inputted symptoms. From the analysis, the system is able to provide diagnoses with high accuracy, even reaching 100% for some OCD cases. These results show that expert systems can be an effective tool in detecting OCD early, thus accelerating the process of proper handling and treatment

Quality is an important factor for consumers in choosing a product, so maintaining or improving product quality is important for companies to compete and satisfy consumers. Small and Medium Enterprises (SMEs) face challenges in maintaining product quality and therefore require an effective quality control system, one example is Pak Sifa' Fried Tofu UKM in Jombang. By using primary data obtained through interviews and direct observation, Statistical Quality Control (SQC) methods such as check sheets, stratification, scatter diagrams, histograms, control charts, Pareto diagrams, and cause-and-effect diagrams are used for data analysis aimed at identifying types dominant defects in fried tofu products and their causes. The research found that the dominant defect in fried tofu production was split tofu defect with a defect rate of 52.921%. Factors that cause split tofu defects include human factors, methods, measurements, machines, materials and the environment. This research highlights the need for SMEs to prioritize quality improvement strategies, particularly addressing dominant defects and their root causes. Implementing SQC tools can help SMEs improve product quality and reduce defects.      

Nowadays, the utilization of a Web-based Hospital Management Information System has been implemented in Raja Ahmad Tabib Hospital of Pulau Riau Province, which not only has an impact on patient services but can also have an impact on the effectiveness of employee work in serving patients in the hospital, in order of study aims to determine the effectiveness of work through Web-based HMIS (SIMRS) by determining the Quality of Information, Organizational Culture and Digital Competence. This study will conduct data analysis through SEM-PLS (Structural Equation Modeling-Partial Least Square) software, which the test conducted by the researcher uses path analysis to test the pattern of relationships that can reveal the influence of variables or a set of variables on other variables, both direct and indirect influences. Based on the results of the research that has been conducted, the researcher found that there is a positive influence between Organizational Culture both on HMIS and on work effectiveness and organizational culture has a significant determination of work effectiveness through the utilization of Web-based HMIS. On the other hand, the quality of information and digital competence are not significant to Web-Based HMIS, although both are significant to work effectiveness. However, the determination of information quality and digital competence does not have an indirect relationship to work effectiveness through Web-based HMIS.    

The development of Information Technology is now entering various sectors, including health, and is implemented in Bidadari Binjai Hospital. As a health institution that is committed to excellent service and quality, Bidadari Binjai Hospital needs to innovate technology. One health issue that requires attention is rubella, an airborne infectious disease that has the potential to cause serious disorders such as hearing loss, cataracts, speech delay, and heart failure in toddlers and children. The initial symptoms of rubella are often similar to other common diseases, so public understanding of these symptoms is very important for quick treatment. This research aims to develop an information technology-based system that is able to predict rubella using the backpropagation method. This method is expected to improve the accuracy of diagnosis and make it easier for people to recognize rubella symptoms early on. The proposed system aims to provide better diagnosis support at Bidadari Binjai Hospital, as well as increase public awareness and knowledge about rubella disease. From the research conducted, the results of the accuracy rate obtained when conducting a test program were selected according to the symptoms and the results obtained were rubella disease with a 100% accuracy rate.

This study examines the relationship between life satisfaction and the effectiveness of systemic lupus erythematosus (SLE) treatment through a systematic review and meta-analysis of 32 studies (N=8,746) published between 2018 and 2023. The analysis reveals a moderate negative correlation between life satisfaction and lupus disease activity (r=-0.38, 95% CI: -0.44 to -0.32, p<0.001). More specifically, the data demonstrate a strong positive correlation between life satisfaction and quality of life in the context of health (r=0.52, 95% CI: 0.47-0.57, p<0.001) and a moderate positive correlation with medication adherence (r=0.34, 95% CI: 0.28-0.40, p<0.001). Longitudinal analysis (n=6 studies) shows that early improvements in life satisfaction are significantly predictive of reductions in lupus disease activity (?=-0.24, p<0.001) and enhancements in quality of life (?=0.29, p<0.001) over six months to 2 years. Meta-regression analysis further identifies age (?=0.008, p=0.03) and disease duration (?=0.015, p=0.01) as significant moderators of the effect of life satisfaction on SLE treatment outcomes. These findings extend previous research by Diener and Chan (2011) on well-being and health and by Mok et al. (2019) on depression in SLE by emphasizing the specific role of life satisfaction in SLE management. The novelty of this study lies in its focus on life satisfaction rather than solely negative risk factors, highlighting the potential for life satisfaction-based interventions in the management of SLE. This research supports the integration of life satisfaction assessments and psychosocial interventions into standard SLE care protocols, offering new insights into the psychoimmunological approach to SLE treatment.

This study aims to analyze the impact of salary and recognition on the performance of teachers at Madrasah Aliyah Salafiyah Al-Rahmah Mojorejo, Pungging District, Mojokerto Regency. The background of this research is based on the importance of the role of teachers in the education system and the fact that teacher performance often does not meet the expected standards. This study uses a quantitative approach to test three hypotheses: (1) the impact of salary on teacher performance, (2) the impact of recognition on teacher performance, and (3) the combined impact of salary and recognition on teacher performance. Data were collected through interviews with the madrasah head and other relevant research instruments.The research findings show that: (1) The salary variable has a significant impact on teacher performance (t-statistic 2.917 > t-table 1.761; significance 0.010). (2) The recognition variable has a significant impact on teacher performance (t-statistic 3.820 > t-table 1.761; significance 0.002). (3) Together, the salary and recognition variables have a positive and significant impact on teacher performance, with a coefficient of determination of 58.2%.These findings emphasize the importance of salary and recognition factors in improving teacher performance in the madrasah environment. The results of this study can serve as a basis for policymakers to improve the quality of education through improved teacher performance.    

This community service aims to innovate Artificial Intelligence (AI) financial planning using the ClickUp application to improve the quality of project management, especially budgeting, thereby increasing efficiency, productivity, and better decision-making so that these MSMEs can be highly competitive in the fintech era. Artificial intelligence is a system in a machine that imitates the way humans think and act (human intelligence). One of a computer science related to the development that can imitate human expertise in carrying out certain tasks is Artificial Intelligence (AI)  (Nurcholis, 2023). The program carried out is training and mentoring so that financial planning is more innovative, economical, practical, easily accessible, and has minimal errors. The problem faced by business actors is financial planning that has not been implemented properly so business targets and income targets are often not achieved. This has an impact on the sustainability of the Chibi-Chibi Mochi MSME business in the era of competition. The solution to the problem is that the community service team will provide training and mentoring on financial planning innovation using Artificial Intelligence (AI) ClickUp. The output targets to be achieved are in the form of journal publications and increasing the understanding and skills of business actors.

Enhancing students' critical thinking skills is a major challenge in Social Studies education in the 21st century. This study aims to explore the effectiveness of the problem-solving method in improving students' critical thinking skills within the context of Social Studies. Employing a qualitative approach with a library research design, this research analyzes various literature related to the application of the problem-solving method. Findings reveal that this method significantly enhances students' abilities to analyze information, formulate solutions, and connect theory with practice. However, challenges such as resource limitations and the need for teacher training can impact its effectiveness. The implications of this research suggest the need for intensive teacher training and systematic integration of the problem-solving method into the social studies curriculum to improve educational quality. Future research is recommended to explore different educational settings and additional method combinations to deepen understanding of problem-solving implementation in social studies education.

The Department of Industry and Trade (Disperindag) plays a crucial role in advancing the industrial and trade sectors at the local level. However, the implementation of accounting practices in government institutions often faces various significant and complex challenges. This literature study aims to present a comprehensive analysis of the application of accounting practices at the Department of Industry and Trade (Disperindag) by exploring various aspects of the accounting system implemented in the institution. This research employs a literature study method. In general, the accounting system applied at Disperindag has adhered to the applicable government accounting principles, including transaction recording, budget management, and reporting in accordance with established standards. However, there are several practices that need to be updated to align with the latest standards in order to enhance compliance. Although the financial reporting procedures are quite good, there are shortcomings in terms of speed and accuracy that can affect data-driven decisions. Budget management also faces challenges that require adjustments to enhance efficiency and effectiveness; recommendations for improving the accounting system at the Department of Industry and Trade are suggested. The increase in training for accounting staff is considered crucial to ensure they have a better understanding of regulations and best practices. In addition, updates in information technology are expected to accelerate and simplify the financial reporting process. A revision of the reporting and budget management procedures is also necessary to enhance the efficiency and effectiveness of budget utilization. The implementation of these recommendations is expected to improve the quality of the accounting system at the Department of Industry and Trade, enhance transparency and accountability, and support the achievement of the agency's strategic goals more effectively. Thus, financial management at the Department of Industry and Trade can become more optimal and contribute to sustainable economic development.    

Public complaints are an important element in public services to determine public satisfaction with the implementation of public services. The Regional Representative Council of the Republic of Indonesia is an institution that represents regional voices and the interests of a region at the central level, as an institution representing regions the DPD RI is required to listen to aspirations and complaints submitted by regional communities. The aim of this research is to determine the management of complaints from regional community aspirations by the DPD RI. This research uses theory from Gorton (2005). The indicators used in this research are Quality Improvement, Openness to receive complaints, commitment, accessibility, responsiveness, transparency and responsibility, personal in nature. This research method uses qualitative descriptive techniques by collecting data from interviews, observation and documentation. The results of this research show that the principle of improving quality in the implementation of handling complaints from the public has been equipped with adequate facilities/infrastructure. On the principle Openness in accepting complaints means that DPD RI accepts all types of complaints from the public. On the principle commitment is that DPD RI is committed to every aspiration & complaint from the community. On the principle accessibility DPD RI provides access to the public to submit complaints through websites, applications, social media and by coming directly to the office. Responsiveness means that DPD RI does not discriminate in responding to every aspiration & complaint and DPD RI members use a pick-up and drop-off system to listen to aspirations or complaints submitted by the public. On the principle Transparency & Responsibility DPD RI will act transparently & responsibly towards every aspiration & complaint. On the principle Personal Characteristics DPD RI properly safeguards the identity/data of the complainant community.

This study examines the impact of information systems, facilities, and competence on inpatient satisfaction with service quality as an intervening variable at Raja Ahmad Thabib Hospital, Riau Islands Province. The sample for this study consists of 100 individuals who either received healthcare services or are family members of patients. The research method employed is an associative method with a quantitative approach, utilizing Partial Least Square (PLS) analysis techniques through the SmartPLS Version 4.0 program. The results of the study indicate that the information system has a positive and significant effect on the satisfaction variable, facilities have a positive and significant effect on the satisfaction variable, competence does not significantly affect the satisfaction variable, service quality significantly affects the satisfaction variable, competence does not significantly affect the service quality variable, the information system has a positive and significant effect on the service quality variable, facilities have a positive and significant effect on the service quality variable, the information system positively and significantly affects the satisfaction variable with service quality as an intervening variable, facilities positively and significantly affect the satisfaction variable with service quality as an intervening variable, and competence does not significantly affect the satisfaction variable with service quality as an intervening variable at Raja Ahmad Thabib Hospital, Riau Islands Province.

Vulvodynia is a chronic pain condition affecting the vulva that significantly impacts women’s quality of life. Accurate and early diagnosis poses a challenge due to the often-overlapping symptoms with other conditions and the lack of definitive diagnostic tests. This paper proposes the use of expert system methods as a diagnostic tool for vulvodynia in women. The expert system, integrating medical knowledge with inference algorithms, is designed to analyze symptoms, medical history, and test results to provide accurate diagnoses and treatment recommendations. The study involves the development and evaluation of a computer-based expert system prototype that uses clinical data and medical decision-making to enhance the accuracy of vulvodynia diagnosis. Preliminary results indicate that the expert system can improve diagnostic rates and reduce the time required for identifying this condition, offering a potentially valuable tool for medical professionals in clinical practice.  

Vertiqua biofical top filter is a cultivation technique with a recirculation system that utilizes limited land. Vertiqua is a solution for cultivation. When cultivating koi fish in vertiqua, the feed capacity increases and there is a high nutrient load so that the waters are easily polluted, therefore the presence of an upper biophysical filter can reduce pollution. This is important to study, especially the structure of the phytoplankton community because it is one of the biological indicators of ponds in koi fish cultivation. This research was carried out for 6 weeks in Sindangpalay Ciberem Sukabumi. The research was carried out by taking phytoplankton in the vertiqua at intervals of once every 2 weeks. The data analysis in this research is abundance, diversity, uniformity and dominance. During the research results obtained were abundance 636-673, diversity 2.6, uniformity 0.9, and dominance 0.01. The water quality studied was ammonia, nitrate, nitrite, phosphate, pH, DO, turbidity and temperature. These waters are stable and healthy, which is a positive indicator to support fish farming activities. The water quality in Vertiqua is classified as good and the ecosystem is balanced, these waters are ideal for supporting the productivity and health of farmed fish.

The low quality of learning and learning assessment, has not been integrated into a system properly. So that the ideal learning process cannot occur. The purpose of this study is to determine the ICT learning media Adobe Flash Cs6 for class VII students of Smp Negeri 8 Sorong Regency Based on Video that is Valid and Effective to use. This study uses the development method (Research and Development). Data was collected by observation, interviews, literature studies and questionnaires. The subjects of this study were 21 students of Smp Negeri 8 Sorong Regency class VII. Based on the results of the research on the development of video-based learning media using Adobe Flash Cs6, the validation results were obtained from two validators, including material experts, namely an average percentage of 75% and media experts, namely an average percentage of 94% which is included in the "Very Valid" criteria. the level of effectiveness of learning media was obtained from the respondent questionnaire, the results obtained were an average percentage of 86% which was included in the "Very Effective" criteria. The results of this study indicate that the development of video-based learning media Adobe Flash CS6 is valid and effective to use.    

This study examines the application of Quality Engineering methods to Micro, Small, and Medium Enterprises (MSMEs) through a community service program. Using a qualitative approach based on literature studies conducted via a webinar at Universitas Sehati Indonesia (USINDO), the research explores how systematic quality improvement strategies can be introduced and adapted for MSMEs to enhance product quality and competitiveness, this study analyzed scientific publications, community service reports, and quality improvement program documentation from 2019-2024. The findings demonstrate that Quality Engineering principles-including Quality Function Deployment (QFD), Seven Basic Tools of Quality, and Statistical Process Control (SPC)-significantly enhance product quality when adapted to SMEs' specific contexts. Case studies reveal improvements ranging from 29.5% to 97.92% across various aspects including customer satisfaction, food safety, and production efficiency. The research identifies key challenges in implementation, including technical knowledge limitations, resource constraints, and difficulties in maintaining long-term changes. The successful integration of Quality Engineering methods depends on active participation from SME stakeholders, approaches tailored to local contexts, and continuous post-program mentoring. This study contributes to developing an integrative framework that combines Quality Engineering principles with practical SME needs, supporting sustainable quality culture development in the SME sector.

This literature study examines the application of sustainable production systems in community empowerment, particularly focusing on industrial engineering implementation in local communities. Using a qualitative approach through document analysis, focus group discussions, and in-depth interviews, the research identifies three critical findings. First, community-based production system models that integrate contextual analysis, participatory design, and continuous monitoring significantly improve productivity and income of local communities, as demonstrated in the weaving community in Sleman, Indonesia. Second, production engineering interventions that combine technological innovation and social empowerment generate sustainable economic impacts, including 11-13% increase in global agricultural commodity production and 43% reduction in worker idle time in the manufacturing sector. Third, an adaptive conceptual framework connecting local wisdom with digital technology strengthens community resilience, as seen in green construction practices based on local materials that reduce costs by up to 20% while improving quality of life. The study strengthens socio-technical systems theory by demonstrating that the success of sustainable production systems depends on synergies between technical, social, and institutional aspects.