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Public street lighting (PJU) is an important infrastructure in supporting the safety and comfort of road users. The provision of PJU is the responsibility of the Sukabumi Regency Transportation Agency, which must be carried out in accordance with Minister of Transportation Regulation No. 47 of 2023 concerning Street Lighting Equipment. This study aims to determine the effectiveness of the Sukabumi Regency Transportation Agency in providing PJU in the Kadudampit District. The research method used was qualitative with a descriptive approach. Data collection was carried out through field observations, interviews, and documentation studies. The results of the study indicate that the provision of PJU in Kadudampit Subdistrict is not yet fully effective, as indicated by the existence of PJU that is not functioning optimally and uneven distribution. The main obstacles faced include budget and maintenance limitations. Nevertheless, the implementation of street lighting provision has been in accordance with the provisions of Permenhub No. 47 of 2023. Therefore, improved planning and supervision are needed to increase the effectiveness of street lighting provision.

This study aims to describe the implementation of school promotion at SDI Technopreneur An Nadwah as an effort to increase the interest of prospective new students. The research employs a descriptive qualitative method with data collection techniques including observation, informal interviews, and document analysis. The results show that the basic concept of SDI Technopreneur An Nadwah is based on the national curriculum integrated with technopreneurship programs, tahfiz, and the cultivation of Islamic character habits. The promotional strategies used include publication through social media, school branding programs, collaboration with PAUD/TK institutions, open house activities, and the distribution of printed media. Promotional implementation is carried out in a structured manner through the creation of digital content, the organization of public events, and the provision of digital-based PPDB (new student admission) information services. The obstacles encountered include limited promotional human resources, content consistency, and competition among schools; however, these can be addressed through the formation of a dedicated promotion team, strengthening the school’s flagship content, and optimizing digital media. This study concludes that effective school promotion can enhance institutional visibility and attract the interest of prospective new students more optimally.

The process of determining eligibility for social assistance recipients is often constrained by subjective assessments and uncertainty in decision-making criteria. This condition can lead to inaccurate targeting and unfair distribution of aid. Therefore, an appropriate decision support method is required to handle data uncertainty effectively. This study aims to apply the Fuzzy Mamdani method to determine the eligibility of social assistance recipients based on several assessment criteria. The criteria used in this study include monthly income, number of dependents, and housing conditions. The research method consists of data collection, fuzzification, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification to obtain a crisp output value. The results show that the Fuzzy Mamdani method is able to classify recipients into eligible and non-eligible categories more flexibly compared to conventional methods. The generated eligibility values reflect real conditions more accurately by considering degrees of membership for each criterion. The implementation of this method can assist decision-makers in improving the accuracy, objectivity, and fairness of social assistance distribution. This research is expected to contribute to the development of intelligent decision support systems in the social welfare sector.

Malino City in Gowa Regency plays a crucial ecological role as a water catchment area, yet it currently faces the threat of land degradation due to land-use conversion and erosion in hilly areas. This community service activity aims to implement soil conservation while enhancing the economic potential of local residents through the planting of productive fruit tree seedlings. The methods employed include educational socialization, training on planting techniques for sloped land, and the distribution of superior fruit tree seedlings (avocado, durian, and orange). The results indicate an increase in community understanding regarding the importance of permanent vegetation in maintaining soil stability. A total of [Mention number] tree seedlings were planted with the active participation of local farmer groups. In conclusion, the integration of ecological and economic aspects through productive trees creates a sustainable conservation system by providing direct financial benefits to the community, thereby increasing their motivation to preserve the environment in the Malino region.

This study examines the management of Kediri Nite Carnival (KNC), an annual event organized by the Kediri City government to commemorate the city's anniversary and showcase local arts, culture, and tourism potential. This research uses qualitative methodology and employs literature analysis, observation, and documentation as case study methods. The Miles and Huberman interactive model is used to analyze the data. The Kediri City Tourism Office has implemented each stage of event management according to Goldblatt's concept: research, design, preparation, coordination, and evaluation. The focus of the research was to determine the objectives and target audience; the design highlighted the local cultural theme “Exotic Flower in Paradise”; planning included budget planning, scheduling, and promotional strategies through social media and collaboration with local media; coordination was carried out through task distribution and cross-team communication; and evaluation assessed the success of the event based on community feedback and its effects on tourism and the local economy. The research results show that KNC plays an important role in improving the public's perception of Kediri City as a creative and cultured city. However, efforts to increase the number of tourist visits in the long term still need to be made. It is hoped that these findings will help the local government develop a sustainable tourism communication plan.

This study aims to analyze the need for barges and tugboats in distributing Crude Palm Oil (CPO) in the West Papua region. The analysis is conducted based on three main aspects: the balance of supply and demand, ship operational costs, and shipping time, to determine the most efficient mode of sea transportation. The research method used is a quantitative approach by processing CPO distribution data owned by PT Kurhanz Trans in 2024. The results show that the combination of a 240-foot barge with a 5,000 HP tugboat is the most optimal alternative. This combination is able to balance cargo capacity, operational cost efficiency, and shipping time. The total operating cost of a 240-foot barge is recorded as lower than a 230-foot barge, with the same shipping time of 70 hours for a distance of 140 nautical miles. Thus, the 240-foot barge can be recommended as the best alternative to support the smooth distribution of CPO in the West Papua region efficiently and economically.    

This study aims to review the perspectives of MSME owners in the Gonilan area, particularly regarding part-time workers and their use in improving operational cost efficiency. The Gonilan area is known to have many MSMEs operating in various sectors, making this study relevant for understanding the challenges they face. A qualitative method was chosen so that the researcher could conduct in-depth interviews with three MSME owners. The informants were selected because they employed both full-time and part-time workers. The interview results showed that part-time workers were effective in reducing operational costs, such as more flexible hourly wages, although there were some disadvantages. The main disadvantages of part-time workers included lack of experience and limited working hours, which could be overcome through extra training and clear task distribution so that they could focus and increase productivity. The study concluded that the use of part-time workers has a significant impact on the operational cost efficiency of MSMEs, helping owners navigate the market without excessive financial burdens and encouraging long-term business growth.

This community service program aims to enhance the knowledge and skills of the community in Pulau Akar, Setokok Village, Batam City, in utilizing Family Medicinal Plants (TOGA) for optimizing health based on traditional methods. The program was carried out through training involving housewives, community leaders, and local health cadres. The methods used include an initial survey, practical training on types of medicinal plants, their benefits, processing methods, and the distribution of TOGA seedlings to be planted at participants' homes. Additionally, group discussions were held to reinforce understanding and organize TOGA utilization within the community. The results of this program showed a significant increase in participants' understanding and skills regarding the use of TOGA for treating minor ailments and disease prevention. The community began planting TOGA around their homes, creating herbal gardens that can be used as a source of natural medicine. Furthermore, the emergence of local leaders actively disseminating knowledge about TOGA was an important outcome of this service. Social change was also evident as the community became more aware of the importance of managing health independently using local resources. It is hoped that this program will continue with regular training and the strengthening of TOGA utilization groups to ensure the sustainability of this program in the future.

The increasing consumption of packaged food products in Indonesia reflects modern lifestyle changes but simultaneously raises public health concerns related to high calorie, sugar, and fat intake. Nutritional information presented on food labels consists of multiple interrelated variables, making it difficult to identify dominant nutritional factors that characterize packaged food products. This study aims to apply Principal Component Analysis (PCA) to reduce the dimensionality of nutritional data and to map the nutritional characteristics of packaged food products in Indonesia. The research employs a quantitative exploratory approach using secondary data obtained from nutrition facts labels of 1,651 packaged food products. Seven nutritional variables were initially analyzed, namely total energy, protein, total fat, total carbohydrates, sugar, sodium, and dietary fiber. Data preprocessing included data cleaning, Z-score standardization, and iterative variable selection based on the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity to ensure sampling adequacy and sufficient correlation among variables. Variables with low sampling adequacy and perfect multicollinearity were eliminated, resulting in five variables retained for the final PCA model. Principal components were extracted using the eigenvalue greater than one criterion and confirmed through a scree plot, followed by Varimax rotation to enhance interpretability. The results indicate the formation of two principal components explaining approximately 69.7% of the total variance. The first component represents energy density and macronutrient richness, while the second component reflects carbohydrate-related characteristics, particularly the contrasting pattern between sugar and dietary fiber. Biplot visualization further illustrates product distribution based on these components. The findings demonstrate that PCA effectively simplifies complex nutritional information and provides a clear nutritional mapping of packaged food products, offering practical insights for consumers, producers, and policymakers in supporting healthier food choices in Indonesia.

This study aims to analyze the quality control of car tire production at Company X using the Statistical Process Control (SPC) method. The data used in this research are secondary data obtained from GitHub, consisting of weekly production and defect data observed over one year with a total of 52 observations. The analysis was carried out using descriptive statistics, histograms, P-charts, and cause-and-effect (Ishikawa) diagrams. The histogram results indicate that the distribution of defects is right-skewed, showing that most defects occur at a moderate level, although several extreme values are present. The initial P-chart analysis revealed several points below the lower control limit, indicating the presence of special cause variation and suggesting that the production process was not fully stable. After removing out-of-control data and recalculating the control limits, the revised P-chart showed that all data points were within the control limits, indicating that the production process was statistically under control. Furthermore, the Ishikawa diagram identified potential causes of defects related to human factors, machines, methods, materials, and the working environment. Overall, the results demonstrate that SPC is an effective tool for monitoring production stability and providing a systematic basis for improving quality consistency in car tire manufacturing processes.

PT Telering Distrindo is a telecommunications distribution and retail company whose operations rely heavily on information systems. As the business expands and transaction volumes increase, higher demands for system security and reliability require a strategic evaluation of information technology (IT) implementation to ensure alignment with business objectives. This study aims to analyze the condition of the IT infrastructure at PT Telering Distrindo and to formulate development strategies using the Ward & Peppard framework. The research methods include literature review, system observation, IT architecture analysis, and interviews with internal stakeholders. The results show that the company has implemented core systems such as aPOSPlus, aBusinessPlus, and the PPOB TR Reload application, which play an important role in supporting business operations. However, several weaknesses remain in system security, integration, and IT risk management. The SWOT analysis identifies strengths in access control and authentication mechanisms, opportunities to leverage security as a competitive advantage, and threats from cyberattacks and high dependency on IT infrastructure. The study concludes that the Ward & Peppard framework provides a comprehensive strategic perspective and serves as a foundation for developing a more structured, secure, and sustainable IT strategy to support business growth.

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

This study aims to analyze the temperature distribution in an LPG-fueled chili drying machine using Computational Fluid Dynamics (CFD) simulation. The simulation was performed using SolidWorks Flow Simulation 2022 to investigate the effect of inlet air temperature and velocity on temperature uniformity inside the drying chamber. Three inlet temperature variations were applied: 60°C, 70°C, and 80°C, combined with two air velocities of 10 m/s and 11 m/s. The results showed that these parameters significantly influence temperature distribution. The optimum condition was achieved at 70°C and 10 m/s with a temperature uniformity efficiency (

Aceh Tamiang Regency is an area with a high risk of annual flooding. This emergency condition often triggers a surge in environment-related diseases such as skin diseases, respiratory infections, and diarrhea. The success of managing health crises heavily depends on pharmaceutical logistics management, especially the availability of essential medicines and ease of access for refugees at evacuation points. This study aims to analyze the extent of medicine availability at community health centers and health posts, as well as to evaluate the barriers to medicine accessibility for flood victims in Aceh Tamiang Regency. This study uses a qualitative/quantitative descriptive method (choose one) with a case study approach. Primary data were collected through in-depth interviews with pharmaceutical logistics officers and surveys of flood survivors. Secondary data were obtained from the drug stock reports of the Aceh Tamiang District Health Office. Analysis was conducted on variables such as drug types, stock amounts (Buffer Stock), and distribution channels during the emergency response period. The results of the study indicate that the availability of drugs in the initial disaster phase tends to be (state the prediction, e.g., sufficient/limited). However, accessibility is often hindered by damaged road infrastructure and uneven distribution to remote posts. There is an urgent need to strengthen the logistics early warning system so that the types of medicines available match the disease patterns that emerge after floods. Although medicine stocks are generally available in central pharmacy warehouses, geographical constraints and distribution coordination are the main factors hindering accessibility. It is recommended that local governments map out alternative distribution routes and provide disaster-specific buffer stock of medicines at the sub-district level.

This community service activity aims to strengthen the marketing strategy of FUNN Maumere as a culinary business operating in an increasingly competitive market environment. The program was conducted using a qualitative descriptive approach through field observations, interviews with business owners and employees, and direct mentoring in implementing more effective marketing strategies. The results indicate that FUNN Maumere has applied a combination of traditional and digital marketing strategies, including brochure distribution and active promotion through social media platforms such as Instagram, TikTok, and Facebook. The mentoring activities focused on optimizing digital marketing, improving service quality, and strengthening brand consistency. These efforts contributed positively to increased brand awareness, customer interest, and wider promotional reach. However, sales performance remains fluctuative due to external factors, such as weather conditions and differences in outlet location characteristics. Therefore, this community service emphasizes the importance of continuous product innovation, enhancement of customer experience, and optimization of digital marketing strategies to reduce dependency on external conditions. This activity is expected to serve as a practical reference and mentoring model for other culinary MSMEs in developing adaptive, innovative, and sustainable marketing strategies to improve competitiveness and business continuity.

This Community Service activity aims to analyze and develop marketing strategies for imported products at PT Mitra Mulia Pertiwi Nusantara in the local market of Batam. The methods used include direct observation, in-depth interviews with company representatives, and documentation studies to obtain a comprehensive picture of the implementation of the marketing mix (product, price, promotion, and distribution). The results of the analysis show that the company faces challenges in adjusting imported products to local consumer preferences, setting competitive prices, and optimizing promotion and distribution. Through this activity, marketing strategy recommendations have been developed, including improving market segmentation, utilizing digital media for promotion, adjusting prices based on competition, and optimizing distribution channels. The implementation of these recommendations is expected to increase the company's competitiveness and expand the market share of imported products amid increasingly fierce competition. This activity also provides academic contributions as a reference for the development of international marketing science and practical contributions for companies in formulating sustainable marketing strategies.

Socio-economic challenges faced by tuberculosis (TB) survivors in Indonesia remain substantial, particularly stigma that restricts employment opportunities and hinders social reintegration. This community service program aimed to strengthen the economic capacity of TB survivors through a community-based empowerment approach and health information dissemination via social media. The program involved a TB survivor community in the partner area of the Lampung Sehat Initiative. A participatory method was applied through entrepreneurship training, digital content production assistance, and the distribution of health education materials using Instagram, TikTok, and YouTube. The results indicate that social media was effective not only as a platform for health education but also as a promotional tool for participants’ micro-business products. In addition to improving public literacy regarding TB, social media contributed to stigma reduction by delivering positive narratives and reinforcing the collective identity of the survivor community. The program also encouraged behavioral change, supported the emergence of local leadership, and expanded participants’ social and economic networks. These findings suggest that integrating social media into community-based empowerment initiatives can serve as a social transformation strategy that enhances the sustainability of economic development and social support for TB survivors.

Concept drift, the phenomenon where the statistical properties of data streams change over time, poses a significant challenge in machine learning, particularly for long term data streams. Traditional machine learning models, including batch learning and non-adaptive approaches, struggle to detect and adapt to these changes, leading to degraded performance and inaccurate predictions. This study proposes an adaptive computational model designed to detect and respond to concept drift using incremental learning techniques and statistical drift detection mechanisms. The model integrates an Adaptive Drift Detector (ADD) and Incremental Learning System, enabling real-time adjustments to data distribution changes. The model is evaluated across synthetic and real-world datasets, demonstrating its superior ability to detect abrupt, gradual, and recurring drifts compared to traditional models. Experimental results indicate that the adaptive model maintains high prediction accuracy, minimizes false positive rates, and reduces detection delays. Furthermore, the model performs well in resource-constrained environments, making it suitable for real-time applications such as healthcare prediction, fault detection, and IoT systems. Despite its promising performance, the study identifies challenges related to computational complexity and the model’s performance with imbalanced datasets and noisy data. Future research should focus on optimizing the model’s scalability, computational efficiency, and adaptability to more complex data types to ensure broader applicability in dynamic environments. This work contributes to advancing the detection and adaptation of concept drift, offering a robust solution for dynamic and evolving data streams.

This study compares the scalability and maintainability of three prominent programming paradigms-functional programming (FP), object-oriented programming (OOP), and declarative programming (DP)-in the context of distributed data processing systems. The research aims to evaluate how each paradigm performs under increased data volume and its ability to handle complex operations, while also assessing the ease of maintenance through code readability, modularity, and the flexibility of updating and debugging. The study employs a comparative experimental design, implementing identical data processing tasks, such as data aggregation, filtering, and transformation, across each paradigm. Key findings indicate that FP and DP outperform OOP in terms of scalability, with their stateless nature and high-level abstractions enabling efficient parallel processing and task distribution. FP, with its emphasis on immutability and concurrency, and DP, with its focus on describing desired outcomes rather than implementation specifics, both demonstrate superior performance in handling large datasets. However, while OOP excels in modularity and flexibility, its reliance on mutable state and shared resources hampers its scalability in distributed environments. In terms of maintainability, both FP and DP offer clearer, more maintainable code due to their abstraction levels, making them easier to update and extend. OOP, while modular, presents challenges in managing mutable state, complicating maintenance. This paper concludes with practical recommendations for developers on when to use each paradigm based on system requirements and suggests areas for future research, such as hybrid paradigms and long-term maintainability studies in real-world applications.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.