Increasing awareness of cosmetic use increases the quantity of consumption carried out by customers, which poses a real threat related to the increase in cosmetic waste produced. In 2022, there is data on the largest cosmetic purchases in Indonesia, which has been dominated by PT. Paragon Innovation Technology (PT. PTI). The purpose of this service activity is to make all actors responsible for the sustainable use of cosmetics, not only from the producer side but also from the consumer. All community service methods are carried out in various series of activities this time, namely online and offline FGDs, games, simulations and seminars to several communities that are felt to be able to support the company's green business movement. In answering the needs of partners, the team stringed together 8 diverse activities together with collaborators involved in these activities. In the entire series of activities, the team emphasizes the formation of a green behavior mindset in daily life, including the use of cosmetics to personal waste management. Community service is expected to have an impact on paragonians to be able to be responsible for consumption patterns by introducing various options that are easy to apply in the future.

UMKM kuliner, terutama Rumah Makan Padang Ujuang Pulau, sangat bergantung pada ketersediaan bahan baku segar dalam jumlah dan waktu yang tepat, yang dapat meminimalkan biaya untuk operasional dan meningkatkan efisiensi pada produksi. Studi ini bertujuan untuk membandingkan dan menganalisis seberapa efektif metode EOQ dan JIT dalam mengendalikan stok bahan baku di Rumah Makan Padang Ujuang Pulau. Penelitian ini menggunakan pendekatan kuantitatif deskriptif. Cara untuk mengumpulkan data penelitian ini dilakukan dengan melakukan observasi, dokumentasi, dan wawancara. Data dianalisis menggunakan metode Economic Order Quantity (EOQ) dan Just In Time (JIT). Data diolah dengan menggunakan Microsoft Excel. Hasil penelitian menunjukkan bahwa metode EOQ dapat menekan biaya persediaan menjadi Rp 51.055 dengan frekuensi pemesanan rata-rata 3,1 kali per tahun, sedangkan metode JIT dapat menekan biaya persediaan menjadi Rp 1.160.301 dengan frekuensi pembelian 1,2 kali per tahun. Dengan demikian, dapat disimpulkan bahwa EOQ menjadi metode paling efektif untuk mengendalikan persediaan bahan baku pada UMKM ini, meskipun JIT dapat dipertimbangkan untuk kebutuhan efisiensi frekuensi pemesanan. Ini berbeda dengan kebijakan persediaan UMKM saat ini, yang memiliki biaya persediaan tertinggi.

Financial distress is a condition in which a company experiences financial decline prior to bankruptcy. Identifying financial distress is crucial for investors to anticipate the risk of bankruptcy. This study aims to examine the effect of financial distress on financial ratios, specifically liquidity ratio, profitability ratio, and leverage ratio. The population consists of all energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Purposive sampling was used as the sampling technique, resulting in a total of 340 research samples. The dependent variable is measured on a nominal scale, categorized as 0 for non-financial distress issuers and 1 for financial distress issuers. Data analysis was conducted using descriptive statistics, multicollinearity tests, data quality assessments, hypothesis testing, and logistic regression analysis with IBM SPSS version 25 software. The results indicate that the Current Ratio has a significant negative effect on financial distress. Similarly, the Net Profit Margin also has a significant negative effect on financial distress. Meanwhile, the Debt to Equity Ratio has a significant positive effect on financial distress.

This study aims to explore the extent to which promotion and service quality affect GrabFood customer satisfaction among Generation Z who live in Boja Village. This study uses a quantitative method with a survey approach, where data is obtained from 100 respondents who are active users of GrabFood through the distribution of questionnaires. To test the proposed hypothesis, multiple linear regression analysis was used. The findings of the study showed that promotion (with a regression coefficient of 0.45) and service quality (regression coefficient of 0.55) both had a positive and significant impact on the level of consumer satisfaction and the Rvalue of 2 was 0.6 that 60% of the consumer satisfaction variable could be explained by the variables of promotion and service quality, The validity of the regression model used was confirmed through a classical assumption test. These results highlight the importance of synergy between the implementation of effective promotional strategies and service quality improvement to create an optimal customer experience. The practical implications of this research can be used by GrabFood management in designing more efficient marketing strategies to increase customer satisfaction and loyalty. In conclusion, the synergy between effective promotional strategies and improving service quality is the key to creating an optimal customer experience and increasing the satisfaction and loyalty of GrabFood users in the region

This study aims to analyze the effectiveness of  Lean Six Sigma implementation on company  performance in the manufacturing industry sector. The theory used in this study is contingency theory. Researchers examined 21 articles with a time span of 2020-2025 taken from the Scopus, PubMed and Google Scholar databases through Publish or Perish (PoP) software. The results of the study show that Lean Six Sigma with the DMAIC methodology has a significant impact on increasing operational efficiency, reducing production defects, and improving output quality in the manufacturing industry. Each stage of DMAIC uses various tools designed to identify, analyze, and resolve problems in the production process. 

This study examines the impact of brand image, product quality, price, and lifestyle on iPhone purchasing decisions among Generation Z, specifically Dian Nuswantoro University students. Using a quantitative approach with an questionnaire survey distributed to 133 students, the data were analyzed through Partial Least Square (PLS). The results revealed that brand image, product quality, price, and lifestyle positive and significantly influence iPhone purchasing decisions. A strong brand image boosts buying interest, product quality builds confidence, price aligns with perceived benefits, and lifestyle affects preferences based on social status. The findings suggest that Apple should focus on brand image, product quality, and pricing strategies tailored to young consumers.

This study aims to analyze the influence of marketing strategy innovation on customer satisfaction at the MSME "Kopi Jago." Amid increasingly intense business competition, marketing innovation has become a key factor in maintaining and enhancing customer loyalty. This research employs a quantitative method with data collected through questionnaires distributed to 50 respondents. The data analysis techniques used include validity testing, reliability testing, simple linear regression analysis, t-test, and coefficient of determination (R²) test, assisted by SPSS 25. The results indicate that marketing strategy innovation has a positive and significant effect on customer satisfaction, with a regression coefficient of 0.778, indicating a strong positive relationship.. The significance value of 0.000 < 0.05 and the R² value of 0.405 indicate that marketing strategy innovation explains 40.5% of the variation in customer satisfaction. indicating that effective marketing innovations enhance customer satisfaction at Kopi Jago

Financial inclusion facilitates transactions for micro and small entrepreneurs, so that their businesses can run more smoothly. This study examines the use of financial technology in Micro, Small, and Medium Enterprises (MSMEs). The approach applied in this article is a qualitative approach with a library study or Library Research. The references used come from studies in national and international reputable scientific articles that are in accordance with the research topic. Based on the literature review in the results and discussion, it can be concluded that financial services based on financial technology contribute positively to financial inclusion in Micro, Small, and Medium Enterprises. The impact on MSMEs, in the early stages, the use of Fintech products and services is a crucial period, where special attention is needed to the learning process, adjustments, and proper risk management so that Fintech can be utilized optimally for business sustainability. Fintech providers need to convey information accurately and carry out effective socialization to maintain user trust since the products and services were first introduced.

This research aims to analyze the transparency of financial reports at PR. IPNU Desa Pepe Sidoarjo. Using a descriptive qualitative method, data was collected through semi-structured interviews, observation, and documentation. The results of this study indicate that PR. IPNU has implemented regular financial records, both manually through cash books and digitally with spreadsheets. All transactions are also supported by complete evidence that shows their commitment to the transparency of their financial reports.

Urban congestion and traffic inefficiencies pose significant challenges for developing cities such as Jakarta. Conventional traffic management systems often lack responsiveness and integration, leading to time delays, fuel wastage, and safety hazards. This study proposes the architecture of an Intelligent Transportation System (ITS) based on sensor monitoring as a solution to improve vehicle flow, surveillance, and timeliness within urban transportation networks. The objective is to develop a sensor-based ITS framework capable of real-time monitoring and decision-making through the integration of motion, ultrasonic, PIR (Passive Infrared), and speed sensors. The proposed system was simulated in the Jakarta metropolitan context, focusing on its feasibility and performance under dense traffic scenarios. The results demonstrate that the incorporation of four monitoring technologies—RFID, embedded sensors, IP address tracking, and QR barcode scanning—can significantly enhance the efficiency of traffic control. The framework enables vehicle surveillance, automated violation ticketing, and optimized travel time estimation. It also proposes a comprehensive four-layer surveillance system encompassing traffic, vehicle, passenger, and driver monitoring. This study contributes to the development of smart city infrastructure by offering a scalable ITS model that minimizes congestion, supports automated law enforcement, and enhances public transportation accessibility through digital integration. The findings serve as a baseline for future implementation and technological expansion of ITS in other congested urban regions.