The Effect of Green Intellectual Capital and Financial Literacy on Sustainable Financial Performance of Tofu Factory SMEs in Karawang Regency

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Sustainable financial performance is one of the main objectives of SMEs, but achieving optimal sustainable financial performance needs to be supported by the ability of resources owned by SMEs, both from the level of green intellectual capital and financial literacy. Hence, this research aims to determine the effect of green intellectual capital and financial literacy on sustainable financial performance. This research uses a quantitative descriptive method. Data is collected in the form of primary data through the distribution of questionnaires. The study population consisted of all Tofu Factory SMEs in Karawang Regency, as many as 105 SMEs, using a Purposive Sampling Strategy Criteria; thus, the final sample used was 90 respondents. Data processing techniques were carried out using PLS with SmartPLS 3.0 software through three data testing stages: the outer model, the inner model, and the hypothesis. The results found a positive and significant influence of green intellectual capital on the sustainable financial performance of Tofu Factory SMEs. Sustainable financial performance is also positively and significantly influenced by the financial literacy of Tofu Factory SMEs. Suggestions for further researchers are expected to add variables of green product innovation, creativity capital, and green financing, because those who examine these variables are still very limited; thus, they can create a more accurate model based on the actual conditions in SMEs.

The Influence of SKPD Performance Characteristics, Education Level, Human Resource Competence and Technology Ultilization on the Quality of Regional Financial Reports of the Simeulue District Government

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Budget, and can be used as a pratical guide fro every policy maker in managing the budget. The purpose of this study was to determine the effect of SKPD performance, education level, human resource competence and information tecnology utilization on the quality of financial report. The population in this study were all regional devices totaling 45 (forty-five) SKPD (Reginal Work Units) in Simeulue Regency with a total of 180 (one hundred and eighty) respndents used in this study using a sample of Budget Users (PA), Commitment Making Officers (PPK), Technical Implementation Officers of Activities (PPTK), and Expenditure Treasurers as Research Smaples. Data analysis in this study used multiple linear regression which was prosessed with the SPSS program. The results showed that the influence of SKPD performance, education level, human resource competence and utilization of information technology had a positive and significant effect on the quality of regional financial reports. Human Resource Competencies Positively Affect the Quality of Regional Apparatus Financial Reports, Utilization of Information Technology Positively Affects the Quality of Regional Apparatus Financial Reports in Simeulue Regency. The implications of the results of this study are expected to be an evaluation material for policy makers in improving the Quality of Regional Financial Reports, and can be used as practical guidelines for every policy maker in financial reports.

Optimizing User Retention for a Digital Recruitment App with CLM and the Hooked Model

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As the digital recruitment market in Indonesia becomes increasingly competitive, it is crucial for Chatterhire, a job portal tech startup, to retain a strong user base for sustainability and growth. Retention is vital for demonstrating product-market fit, monetization potential, and attracting future investments. To achieve this, Chatterhire aims to shift its focus from aggressive user acquisition to retention, by optimizing its platform for regular use. This research combined quantitative data on user in-app activities with qualitative feedback from in-depth interviews. The quantitative analysis utilized Customer Lifecycle Management (CLM) techniques, including cohort analysis, behavioral cohort analysis, and funnel analysis, to identify critical experiences that encourage users to return, reasons for user churn, and features that need enhancement for better retention. The study found that retaining users is challenging for an episodic-use app like a job portal, where engagement is sporadic and infrequent. Once users secure a job, their need for the app diminishes, leading to significant drops in engagement and even app uninstalls. Therefore, the company needs to expand the platform’s features to provide additional reasons for users to return. Additionally, ensuring users perceive the app’s value through repeated interactions is essential. The research revealed that users who apply for at least four jobs within the first seven days are likely to have higher retention. This research highlights the importance of integrating intrinsic value into the product to foster a sustained user journey. The Hooked Model’s core elements—Trigger, Action, Variable Reward, and Investment—can encourage habitual use and sustained engagement, crucial for maintaining a competitive edge in the digital recruitment industry.

Water Supply, Waste Management, Waste and Recycling Sector in Indonesia: A Study of Location Quetion, Classic and Spatial Shift Share and Export-Import

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The Water Supply, Waste Management, Waste and Recycling sector is one of the constituent sectors of the Indonesian economy. Water is an important component of human life, especially clean water. The provision of clean water is an activity that should be prioritized, in line with the 6th SDGs goal of clean water and proper sanitation. Waste and waste as by-products of economic activities, then management into useful goods is very important in supporting sustainable development, in accordance with what was launched by the United Nations through the concept of SDGs in goals 8, 11, 12, 13, 14 and 15. The data used is sourced from BPS from 2017-2022. Data analysis using LQ, ΔLQ, Classic and Spatial Shift Share and Export-Import. The results showed that (1) The PAPASLIDU sector in West Java is a superior sector in the present and future. (2) Sector growth in DKI is best compared to West Java, Central Java and East Java. The competitiveness of Central Java and East Java is still low (3) DKI and Central Java still remain importers, West Java changed from importers to exporters and East Java remained as an exporter. Suggestions (1) Policies in West Java in the PAPASLIDU sector need to be maintained, and the DKI, Central Java and East Java regions need improvement, (2) Improvements to reduce imports and increase competitiveness by striving to increase the provision of clean water for the community. Reducing waste generation and waste by managing it into useful and economically valuable goods, namely expanding activities that have been carried out and adding new activities for areas that do not yet exist.

The Development of PJBL-STEAM Learning Design to Improve the Student Creativity in Handling Waste: Utilizing Used Cardboard in Making Simple Miniature ATMs

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Students’ creativity in handling waste is important to help them solve mathematical and SBdP concepts, especially operational problems such as building simple miniature ATMs and reusing waste. Therefore, this research is motivated to develop a learning design that increases students’ creativity in handling waste, using the PJBL-STEAM approach as an effective method. The aim of this research is to increase students’ creativity in handling waste. Phase portraits are given using PJBL-STEAM learning. This research uses a sequential exploratory mixed method design, which is characterized by qualitative data collection and data analysis first, and the next stage is quantitative data collection and second data analysis. The research subjects were 28 experimental elementary school students and 26 control students. According to research by Smith and Jones (2018), the project-based learning approach is effective in increasing student engagement and problem-solving skills. They emphasized the importance of combining this approach with aspects of STEAM (Science, Technology, Engineering, Arts, and Mathematics) to increase students’ creativity in solving environmental problems, including waste management. The research method used in the research is the research and development method. This method will be used to develop and test the effectiveness of PJBL-STEAM learning designs that encourage student creativity in handling waste. The evaluation was carried out by observing student performance, evaluating simple miniature ATM products in the form of coins and paper made from used cardboard, and surveying student reactions to learning. The evaluation results will be used to measure the effectiveness of this learning design in increasing student creativity in waste management and recycling used cardboard. It is hoped that the development of the PJBL-STEAM learning design can help students improve their creative abilities in waste disposal and recycling used cardboard. It is hoped that the results of this research can become a reference for educators in the field of innovative learning which aims to develop 21st century skills.

Application of the Analytical Hierarchy Process (AHP) for Innovative Technological Projects Evaluation and Prioritization in an FMCG Company

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The FMCG industry is known for its dynamic and competitive nature. To thrive in this business sector, companies must possess the ability to swiftly adapt to the market demand changes, continuously enhance operational efficiency and drive innovation. Those abilities are crucial for maintaining competitiveness and ensuring long term viability of the company. Over the past few decades, technology along with its advancement has emerged as a factor that disrupts the ecosystem of various industries by reshaping the way businesses operate and interact with the customers. In Indonesia, many organizations including FMCG companies have continuously embraced and adopted emerging and innovative technologies within their business operations. Although it offers various benefits for the companies, the execution process has usually encountered various challenges which causing the implementation projects to experiencing delays, especially during the decision-making process. This was also the case in one of the largest FMCG companies in Indonesia due to varying interpretations of project importance, as well as the absence of clear prioritization criteria and an unorganized decision-making process. In order to address the issues, the organization plans to develop a decision-making framework that harmonizes diverse stakeholder perspectives related to project importance based on a number of key criteria while also analyze the benefit and impact provided by the implemented technologies through the application of the Multi Criteria Decision Making (MCDM) approach using the Analytical Hierarchy Process (AHP) framework. There are three technology innovation projects to be analyzed and assessed in this research: AGV Implementation, and Digital Warehouse Management System, and Universal QR for Traceability. In order to evaluate the projects, eighteen criterion which are divided into eighteen sub criteria that has been established through Secondary Data Collection and Focus Group Discussion (FGD) process. The data were processed by leveraging the systematic decision-making structure provided by the AHP framework. The research yields two primary outcomes: a structured decision-making framework and a project prioritization scheme intended for application at the organization. The findings of the research highlight the critical role of structured decision-making in navigating the complexities of evaluating and prioritizing innovative technological projects, while also proposing a scalable model that can be repeatedly utilized by the company in the project evaluation and prioritization contexts.

Advanced TRST01 ESG Scoring Model with Beta Based Financial Metrics and Machine Learning Techniques

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In the current corporate world, assessing a company’s sustainability performance is very important for investors, stakeholders, and policymakers. The TRST01’s ESG (Environmental. Social and Governance) Scoring Model introduces an innovative approach integrating beta-based financial metrics with advanced machine learning techniques to comprehensively evaluate ESG credentials. This study demonstrates the development and application of the TRST01’s ESG scoring model, which leverages data from the most reputable sources such as MSCI and S&P Global to ensure its reliability and accuracy. The model’s unique methodology involves calculating country-specific beta values to normalize carbon emission data, thereby providing a standardized metric for meaningful comparisons across countries. Further, ESG scores are adjusted using both country and company beta values to reflect specific risk exposures, enhancing the precision and relevance of the assessments. The model ensures robust input data quality, by taking Market capital, Scope 1, Scope 2, industry wise data and beta values as predictors through extensive data preprocessing and encoding categorical variables for top 1000 listed companies. A comparative analysis of Traditional model such as Simple Linear Regression (SLR) and multiple Machine Learning (ML) models, including Gradient Boosting (GB), Support Vector Regression (SVR), and Random Forest (RF), demonstrates that the Gradient Boosting model achieves superior performance with minimal overfitting and consistent prediction accuracy. The study employs a comprehensive evaluation framework using various metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared, supplemented by detailed visualizations of actual vs. predicted values, residuals, and error distributions. This research underscores the significance of incorporating advanced financial metrics and machine learning techniques in ESG assessments, providing a reliable, accurate, and holistic framework for understanding corporate sustainability. The TRST01 ESG Scoring Model sets a new standard in sustainability evaluation, offering valuable insights for stakeholders committed to integrating sustainability into core business strategies.

Effect of Stretching Exercise on Reducing Musculoskeletal Disorders for Administration Staff at Hospital

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Administrative staff worked with static body posture and repetitive work for more than eight hours a day. They were experiencing musculoskeletal disorders as a risk of using workstation and their posture at work. It is important to reduce the risk of injury caused by their working risks. The purpose of this study was to analyze the effect of stretching on the reduction of musculoskeletal disorders. This research used quasi-experiment approach with one group pre-test post-test only design. The number of research respondents was 60 employees taken by purposive sampling at Lung Hospital Bandung. Musculoskeletal disorders measured using the Nordic Body Map questionnaire before and after interventions. Stretching was giving to employees every day for 3 weeks simultaneously. The result shows majority of respondents were female, 33 respondents (55%), as many as 54 respondents (66.7%) were 24-30 years old. Most of respondents have BMI in obese level as may as 31 respondents (51.7%). Respondents who have worked for more than 2 years were 43 respondents (71.7%). Before the intervention, as many respondents experienced low complaints (86.7%). After the intervention, all respondents had decreaced in complaints become the low category (p=0,001). Recommendation for hospital was to carry out stretching exercise to prevent MSDs for administrative workers.

Training Development to Eliminate Competency Gap at Component Rebuild Section (PT LC)

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Workers are an important factor in and have a very important role in carrying out tasks in a company. Companies understand that skilled workers can provide excellent results. Improved worker performance leads to increased productivity and desired results, thus affecting the quality of the product.  Competence is a key factor that improves employee performance. This level of proficiency has a direct impact on the work of each worker. The current problem is that there is a difference in competence between the company’s needs and the competence of the available workforce. The subjects of this research are employees of PT Lignite Coal, especially those who work in the Component Development Section and the objects in this study are work competency variables and employee performance. The instruments used in data collection are observation, focus group discussions and interviews and data management or documents related to existing training. This research uses an analysis method with an open coding process. Open coding is an approach to theme pieces and incorporates several concepts identified during data collection in an organized and systematic way. By obtaining data related to competency gaps that occur in the Component Rebuild Section, it can be analyzed for training programs developed from existing training programs to be more on target and according to work needs in the Component Rebuild Section so that there are no more competency gaps. The research data shows that there is a competency gap that occurs due to differences in the adaptability, knowledge and expertise of each tradesperson in the component rebuild section (remanufacturing process).

The results of this study indicate that training has a positive and significant effect on increasing employee competence which can improve employee performance which affects the quality of the product. Training programs with the right material and the right delivery method by adapting to the latest technology will greatly help in eliminating competency gaps and developing employee competencies so that employees are able to work well where employees are able to adapt to new technology and are able to increase their knowledge which in turn is able to analyze and provide recommendations for improvements which ultimately affect the performance of components that are able to achieve the specified target life.

Integrating ERM with HACCP for Enhanced Efficiency in SME Beverage Manufacturing: The Case of SME Beverage Manufacture Company in Rembang, Indonesia

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This study presents an approach to determining the most impactful risks faced by an SME beverage manufacturing company in Rembang, Indonesia. Indonesia’s food and beverage market is highly competitive, especially for small and medium-sized enterprises (SMEs) that aim to sustain and grow their businesses. Focusing more on their business strategy, these SMEs often overlook risk management, which can lead to significant losses. The study employs a methodology that combines Enterprise Risk Management (ERM) with Hazard Analysis Critical Control Points (HACCP) to detect and evaluate potential risks in the production process, ultimately providing recommendations for the best possible corrective actions to manage these risks. The ERM framework highlighted three major risks associated with defective products, water shortage, and blackout, while the HACCP analysis pinpointed five critical control points (CCPs) in the production process of boiling, cooling, mixing, filling/bottling, and packaging. Based on these results, the study suggests corrective actions of installing backup generators, securing additional water supplies, and implementing homogenizers will benefit the company.