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This study explores the roles of innovation and perseverance as critical success factors for young entrepreneurs in the fried chicken business through an in-depth case study of Fried Chicken Smile, located in Medan Tembung Subdistrict. The research focuses on how young entrepreneurs are able to survive and grow in a highly competitive culinary market dominated by global brands such as KFC. Using a qualitative research approach, data were collected through in-depth interviews with business owners and employees, direct field observations, and documentation analysis. The study is supported by several theoretical perspectives, including Grit Theory, which emphasizes perseverance and passion for long-term goals; Entrepreneurial Behavior Theory, which explains proactive and adaptive business behavior; and Schumpeter’s Innovation Theory, which highlights innovation as a driver of competitive advantage. The findings indicate that business success is influenced by continuous product innovation, particularly through adapting menu flavors to local tastes, maintaining consistent operational quality, and implementing effective digital marketing strategies via social media platforms. In addition, strong social support from family, peers, and local communities plays a significant role in sustaining entrepreneurial motivation. Overall, the study demonstrates that the combination of innovation, persistence, and social capital enhances competitiveness and supports the growth of micro, small, and medium enterprises (MSMEs). These findings provide valuable insights for the development of young entrepreneurship in Indonesia’s dynamic culinary sector.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.

Unexpected downtime of a 2 kg/hour coffee grinder is crucial in cafe operations, thus less guaranteeing the availability of the grinder. The purpose of component replacement and repair planning is to obtain a prediction of the maintenance and repair schedule and costs in the 2026 period. The component replacement planning method includes collecting previous maintenance and repair data, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, predicting component life, predicting technician costs, predicting supporting work equipment and supporting materials to be used in maintenance, predicting the time to replace spare parts or reinstall components after repair, estimating maintenance and repair costs for the 2026 period, and calculating the ratio of maintenance costs to profits. The results of component replacement and repair planning obtained maintenance costs for the 2026 period are IDR 2,350,000, - with an estimated coffee grinder rental rate of IDR 25,000/hour which has the potential to be rented for 1440 hours/year, and the ratio of maintenance costs to profits is 6.5% which implies that the coffee grinder with a capacity of 2 kg / hour is still suitable for use for the next few years and still has the opportunity to make a profit.

The dynamic changes in weather patterns in Jambi City require an accurate temperature prediction system, thus this study aims to compare the performance of Random Forest and Support Vector Regression (SVR) algorithms in predicting daily maximum temperatures using weather data from 2020–2024 obtained from OpenMeteo with the application of Feature Engineering including lag and rolling window features. The test results indicate that the SVR model with a Radial Basis Function (RBF) kernel optimized using Grid Search (C=10, epsilon=0.2, gamma=0.01) significantly outperforms Random Forest based on a statistical Paired T-test (p-value < 0.05), yielding an R-squared (R²) value of 87.46%, Mean Absolute Error (MAE) of 0.3818 °C, and Root Mean Squared Error (RMSE) of 0.4964 °C compared to Random Forest's R² of 84.05%, where the previous day's temperature (lag) and three-day rolling average were identified as the most dominant predictors, leading to the recommendation of SVR as the more effective method for temperature prediction in the study area.

This study aims to analyze the effect of Environmental, Social, and Governance (ESG) performance on financial misreporting, with investor attention as a moderating variable in banking companies listed on the Indonesia Stock Exchange during the 2019–2022 period. The theoretical framework is grounded in Agency Theory and Legitimacy Theory to explain the role of ESG as an internal control mechanism and a means of gaining external legitimacy. The research employs a quantitative approach using secondary data from annual reports and sustainability reports. Financial misreporting is proxied by earnings management measured through discretionary accruals, while ESG performance is assessed using the GRI Standards index, and investor attention is proxied by institutional ownership. Data analysis was conducted using multiple regression and Moderated Regression Analysis (MRA). The findings reveal that all three ESG dimensions (environmental, social, and governance) have a significant negative effect on earnings management. Institutional investor attention is found to strengthen the negative relationship between environmental and social aspects with earnings management, but weaken the influence of governance. These results indicate that institutional investors tend to be more responsive to environmental and social issues compared to governance aspects. Practically, this study provides empirical evidence that ESG implementation can serve as a control instrument against financial misreporting in the banking sector, while theoretically enriching the literature on investor moderation in the relationship between ESG and earnings management practices.

This study examines the influence of foreign ownership, return on assets (ROA), and firm size on environmental, social, and governance (ESG) disclosure among energy sector companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The sample was selected through purposive sampling, including firms that consistently published annual and sustainability reports in accordance with the Global Reporting Initiative (GRI) standards. ESG disclosure was measured as the proportion of disclosed GRI indicators to the total applicable indicators. Multiple linear regression analysis shows that foreign ownership and firm size significantly enhance ESG disclosure, while ROA has no significant effect. These results support legitimacy theory, suggesting that companies increase ESG transparency primarily to secure societal acceptance and maintain their social license to operate. In the energy sector, where environmental sensitivity and public scrutiny are high, ownership structure and firm scale emerge as stronger determinants of ESG disclosure than short-term profitability.

Gestational Diabetes Mellitus (GDM) is a pregnancy-related metabolic disorder that poses health risks to both mother and fetus if not detected early, requiring accurate prediction methods for early screening and clinical decision-making. This study applies the Random Forest algorithm to detect GDM risk using clinical data from the Pima Indian Dataset. Data preprocessing included handling missing values, standardization, feature engineering, and a 70:30 train–test split. Two models were developed: a baseline and an optimized model using GridSearchCV hyperparameter tuning, validated with 5-fold cross-validation. Performance was assessed using a classification report, confusion matrix, and ROC–AUC. Results show that the optimized model outperforms the baseline, achieving 88% accuracy, an AUC of  93%, and average recall of 81%–85%. Compared to previous studies, this approach demonstrates improved predictive performance. The findings indicate that combining Random Forest with comprehensive preprocessing, feature engineering, and model optimization is effective and feasible for developing a medical decision support system for early GDM risk screening.

The concept of supremum is fundamental in real analysis and plays a crucial role in the optimization of single-variable real functions. In practice, not all functions attain their supremum explicitly, which necessitates numerical approaches to evaluate their behavior computationally. This study aims to analyze the supremum of several one-dimensional real functions with different characteristics using a grid-search method implemented in Python. Four functions were examined: a parabolic function, a rational function with a sharp peak, a discontinuous piecewise function, and a function with a vertical asymptote. The analysis involved modeling the functions, discretizing the domain, performing numerical approximation of the supremum, verifying the results against analytical values, and using graphical visualization to observe the function behavior near the supremum. The findings indicate that the supremum of the parabolic, rational, and piecewise functions can be accurately identified, with results consistent with analytical expectations despite minor deviations caused by grid resolution limitations in the rational function. Meanwhile, the function with a vertical asymptote yields an unbounded supremum, which cannot be attained within the domain. These results demonstrate that Python provides stable and reliable numerical estimates of the supremum across various types of one-dimensional real functions, validating the effectiveness of computational methods in supporting conceptual understanding of supremum.

This study aims to determine the optimal pectinase enzyme concentration and hydrolysis duration for the most preferred physical, chemical, and organoleptic characteristics of kweni mango syrup. The research was conducted from October 2024 to August 2025 at the Integrated Laboratory and Basic Science Laboratory of the Agricultural Institute (INTAN) Yogyakarta using a Completely Randomized Design (CRD) with a factorial pattern consisting of two factors and two replications. The first factor was the pectinase enzyme concentration (0%, 0.25%, 0.50%, and 0.75%), and the second factor was the hydrolysis duration (0, 30, and 60 minutes). Observation parameters included yield, vitamin C, viscosity, pH, total soluble solids, and organoleptic attributes. Data were analyzed using ANOVA at a 5% significance level followed by Duncan’s Multiple Range Test (DMRT). The results showed significant effects of both pectinase enzyme concentration and hydrolysis duration on yield, viscosity, total soluble solids, and organoleptic characteristics (color, taste, aroma, and overall acceptability), while no significant effects were observed on vitamin C content and pH. The best formulation was obtained using 0.50% pectinase enzyme concentration with a hydrolysis duration of 30 minutes.

The global and national rates of cesarean section (CS) deliveries continue to show an increasing trend, including in Lampung Province. This study aims to analyze the factors associated with the increased incidence of CS deliveries at Griya Medika Dompet Dhuafa Hospital. An analytical quantitative design with a cross-sectional approach. The study population consisted of all mothers who gave birth during the period of January–June 2025. The sample was determined using the Slovin formula, yielding 240 medical records selected through simple random sampling. The independent variables included maternal age, educational background, obstetric history, and medical indications, while the dependent variable was CS delivery. The study was conducted from July to August 2025. Data were analyzed using univariate and bivariate methods with the Chi-Square test. The results showed that most respondents underwent CS delivery (95%). Maternal characteristics included non-risk age (73.8%), secondary education (38.3%), multiparity (54.2%), and the most common medical indication was fetal indication (55.4%). Bivariate analysis indicated no significant relationship between maternal age (p=0.519), educational background (p=0.509), and obstetric history (p=0.694) with CS delivery. Conversely, there was a significant association between medical indications and CS delivery (p=0.041). It was concluded that the increasing rate of CS deliveries is predominantly influenced by medical indications, particularly fetal indications. Therefore, it is recommended that health workers enhance early detection of pregnancy and childbirth risks and strengthen educational efforts for pregnant women as preventive measures to reduce the incidence of CS

This study examines the interrelationship between the implementation of administrative ethics in civil service, the professionalism of State Civil Apparatus (ASN), and the quality of public service delivery at the Provincial Department of Energy and Mineral Resources of Central Kalimantan, employing a qualitative case study approach. Through in-depth interviews, structured observations, and document analysis, the research finds that integrity, transparency, and ethical accountability function not merely as moral norms but as structural foundations that reinforce ASN professionalism in performing service functions, particularly within licensing processes that demand administrative certainty and responsiveness. Empirical findings indicate that professionalism—reflected in technical competence, procedural discipline, and ethical commitment—acts as a catalyst linking ethical values to effective and adaptive public service performance. Nevertheless, the study also identifies structural and cultural impediments, including regulatory inconsistencies, fragmented coordination, and limited training opportunities, all of which hinder the internalization of ethical principles and professional practice within the bureaucracy. Theoretically, the study posits that harmonizing administrative ethics and professionalism is a prerequisite for achieving key indicators of good governance, such as responsiveness, service effectiveness, and institutional accountability. Practically, the study recommends strengthening ethics training, enhancing ASN professional capacity, and advancing managerial reforms grounded in modern governance as strategic efforts to sustainably improve public service quality.

Organic waste management at Yogyakarta International Airport (YIA) is still not optimal, even though organic waste production averages 1,264 kg per month. This community service activity aims to develop technological innovations through the utilization of eggshell waste and Black Soldier Fly (BSF) maggots into economically valuable pellet feed products. The activity was carried out from October 8 to 15, 2025, involving three workers from the Temporary Processing Site (TPS) of PT Angkasa Pura Indonesia YIA. The implementation methods included an initial survey, education, demonstration of pellet production, and evaluation of participants' skills and product quality. The production process involved drying, grinding the ingredients, mixing the ingredients, molding, and drying the pellets. The results showed that the workers were able to independently carry out the production process and produce pellets with good physical quality. Cost analysis showed that the cost of production was IDR 47,989/kg, with a potential profit margin of 30% and an estimated return on investment within ±7 months. This innovation has proven effective in reducing waste volume, increasing the added value of organic waste, and supporting the principles of zero waste and circular economy in the airport area. This program has the potential to be further developed as a model for sustainable organic waste management.

This study aims to describe the use of the innovative Periscope Grid media based on hybrid learning in two-dimensional drawing lessons for elementary students. The media was designed to help students understand perspective and proportion concepts by combining a manual transparent grid frame with digital features accessed through QR codes linked to tutorial videos, artwork galleries, and reflective learning materials. The research employed a descriptive qualitative approach involving fourth-grade elementary students. Data were collected through classroom observations, interviews with teachers and students, and documentation of students’ artwork. The data were analyzed interactively using reduction, presentation, and conclusion drawing stages. The findings reveal that the Periscope Grid effectively enhances students’ ability to observe, replicate, and draw proportional two-dimensional objects while promoting collaboration through digital gallery activities. Moreover, the media helps teachers explain perspective concepts more easily and fosters students’ active participation. It can be concluded that Periscope Grid serves as an effective, engaging, and integrative learning medium suitable for 21st-century visual art education in elementary schools.

Frequent damage to the grinding disc components and the transmission system of the 15 kg/hour rice flour grinder is a problem faced. The purpose of scheduling component maintenance and repairs is to obtain predictions of maintenance and repair schedules and costs for the period 2026. The component maintenance and repair scheduling method includes examining previous period maintenance and repair data, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, estimating component life, estimating technician costs, estimating supporting work equipment and supporting materials to be used in maintenance, estimating the time for replacing spare parts or reinstalling components after repair, estimating maintenance and repair costs in 2026, and calculating the maintenance cost to profit ratio. The results of component maintenance and repair scheduling show that the maintenance cost in 2026 is Rp 1,370,000,- with an estimated annual profit potential of Rp 21,600,000, and the maintenance cost to profit ratio is 6.3%, which implies that the 15 kg/hour rice flour grinder is still quite prospective and feasible to use for the next few years.

This study aims to analyze the information technology (IT) infrastructure of PT RedEx using SWOT and McFarlan Strategic Grid methods to evaluate internal and external factors affecting IT performance and its strategic positioning. The SWOT analysis identifies strengths, weaknesses, opportunities, and threats, while the McFarlan Grid maps IT systems into four quadrants: Strategic, High Potential, Key Operational, and Support. Data were collected through observation, interviews, and documentation. The results show that PT RedEx’s IT infrastructure supports operational activities but lacks real-time integration across branches. Based on the McFarlan analysis, most systems are in the Key Operational and Support quadrants, indicating a focus on daily operations rather than strategic innovation. Recommendations include system integration through cloud computing, digital transformation, and IT human resource development. The study provides insights into strategic IT planning for logistics companies in the digital era.

Problems in the meatball dough grinder are low production, increasing maintenance costs and disappointed meatball dough customers who receive orders late due to problems with the electric motor, Pulley, V belt, cutting knife. The purpose of the replacement scheduling is to obtain costs, maintenance-repair schedules in the period 2026, and the ratio of maintenance costs to profits. The replacement scheduling method includes collecting previous period maintenance data, applying the inspection-replace-repair-overhaul (IRRO) method, evaluating component working conditions, predicting component life, predicting repairman costs, predicting supporting equipment that will be used in maintenance, predicting the time to replace spare parts or reinstall components after repair, estimating maintenance and repair costs in 2026, and calculating the ratio of maintenance costs to profits. The results of the replacement scheduling show that the maintenance costs in 2026 are IDR 2,530,000 with an estimated rental rate for the meatball dough grinder of IDR 10,000/kg which has the potential to be rented for 1300 hours/year, and the ratio of maintenance costs to profits is 4.9% which implies that the meatball dough grinder with a capacity of 5 kg/hour still has the potential to sell well and is suitable for use in the coming years.

The rapid advancement of information technology has compelled digital marketing companies to enhance efficiency and system integration to improve business performance. PT Imused Satria Muda, a digital marketing company focusing on beauty and herbal product promotion, faces challenges in integrating its information systems across divisions such as advertising, content creation, and customer service. This study aims to formulate an information systems and information technology (IS/IT) strategy aligned with the company’s business strategy using the Ward and Peppard methodology. A descriptive qualitative approach was employed, with data collected through observation, documentation review, and structured interviews. The analysis utilized SWOT, Value Chain, and McFarlan Strategic Grid tools to identify the internal and external conditions of the business and IS/IT environments. The results indicate that PT Imused Satria Muda requires the development of a cloud-based Customer Relationship Management (CRM) system, a Digital Campaign Dashboard, and marketing automation tools to enhance digital campaign effectiveness. The implementation plan is divided into short- and long-term stages over five years, focusing on data integration, information security, and IT human resource competency improvement. The proposed strategy is expected to increase operational efficiency and strengthen the company’s competitiveness within the dynamic digital marketing industry.

Micro-Hydro Power Plant (MHPP) is a renewable energy solution suitable for remote rural areas with river flow availability. This study was carried out in Kampung 17, Batulawang Village, West Java, through the Community Service Program of HMM ITPLN, by designing and implementing a simplified MHPP system. The analysis indicates a hydraulic power potential of 1.511 kW with an effective head of 3.08 m and a discharge of 0.005 m³/s. Of this potential, the maximum utilized power reached 1.108 kW, equivalent to 73.32% of hydraulic energy utilization. The system is capable of producing approximately 26.6 kWh per day or around 798 kWh per month, matching the total demand of 12 households and one mosque in Kampung 17. If this demand were supplied by the national grid (PLN) under the R-1/TR 1300 VA category at Rp1,444.70 per kWh, the monthly cost would amount to approximately Rp1,152,870. Hence, the MHPP enables annual savings of around Rp13.8 million while ensuring local energy independence

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This study aims to examine the organoleptic storage life of kecicang chili sauce using vacuum storage. The research design is experimental, involving 3 trained panelists, all of whom are lecturers from the Culinary Arts Vocational Education Study Program. The data collection method used in this study was observation through organoleptic testing using a 5-point Likert scale, namely 5) Very Good, 4) Good, 3) Fairly Good, 2) Not Very Good, 1) Very Poor. Data analysis used quantitative descriptive methods. The results of this study indicate that: 1) Processing affects the quality of kecicang chili sauce, using a technique that involves grinding the ingredients using a chopper, cooking at a temperature of ±70°C, and then vacuum packing. The organoleptic test results showed that vacuum storage was able to maintain the sensory properties of the sambal, as assessed from the aspects of colour, distinctive kecicang aroma, kecicang texture, solid dough texture, and distinctive kecicang taste, which were rated “fairly good” based on colour, aroma, texture, and taste. Vacuum-sealed sambal maintained its best quality until day 3rd, with no signs of leaking. The most significant changes occurred in the flavor and aroma, rendering it unfit for consumption. The sambal packaging, which showed no signs of leaking, maintained its sensory quality until day 5.