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The increasing complexity of urban transportation systems demands intelligent and measurable navigation methods. Medan City, the capital of North Sumatra Province, has a dense road network with multiple route options that often confuse road users. Dijkstra's Algorithm, developed by Edsger Wybe Dijkstra in 1959, is a greedy-based computational approach proven effective for solving the shortest path problem on non-negative weighted graphs. This study applies Dijkstra's Algorithm to determine the shortest route from Medan Railway Station to Universitas Negeri Medan (UNIMED). The road network was modeled as an undirected weighted graph with 15 nodes and 16 edges, where edge weights represent actual road distances measured via Google Maps. The graph has a density of 0.152, confirming its sparse graph characteristic. Three alternative routes were identified and analyzed. The algorithm was implemented in Python 3 using the heapq module as a priority queue. Results show that the optimal route is A → B → C → E → F → M → N → O via Jl. M.T. Haryono, Jl. Aipda KS Tubun, Jl. Madong Lubis, and Jl. Prof. H.M. Yamin, with a total distance of 6.64 km. This achieves 99.1% accuracy compared to Google Maps, with a deviation of only 0.06 km. The optimal route is 6.25% more efficient than Alternative Route 1 (7.30 km) and 11.9% more efficient than Alternative Route 2 (7.54 km). The algorithm executes in under 1 millisecond with time complexity O((V+E) log V). These findings confirm Dijkstra's Algorithm as highly effective for medium-scale urban road network optimization.

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

This study seeks to investigate the direct impact of digital transformational leadership on employee engagement and to analyze the mediating function of work-life balance within higher education institutions in Medan. A quantitative methodology was utilized, employing a survey technique with a structured questionnaire disseminated to professors at higher education institutions in North Sumatra Province. The study's population and sample consisted of 120 permanent academics in North Sumatra Province. We utilized a questionnaire to collect data and Structural Equation Modeling (SEM) to analyze it. The findings indicated that digital transformative leadership exerted a favorable and significant impact on lecturer engagement. Nonetheless, work-life balance was not demonstrated to be a significant mediator or moderator in this relationship. This study demonstrates that within the framework of digital transformation, professor engagement is more significantly affected by leadership practices than by perceptions of work-life balance. Digital leadership that works can give teachers more power and make them more interested, but problems that come with the digital invasion need to be handled carefully. This study suggests that companies, particularly higher education institutions, should prioritize the enhancement of digital leadership capacity to sustain and elevate employee engagement in the digital age.

The rapid acceleration of the digital economy has positioned Micro, Small, and Medium Enterprises (SMEs) at a strategic crossroads. This study investigates the impact of digital marketing and social media marketing on the performance of SMEs in Binjai, North Sumatra, while exploring the mediating role of Electronic Word of Mouth (e-WOM). Utilizing a quantitative approach with a sample of 182 SME owners, data were analyzed using multiple linear regression and path analysis via SPSS 26. The findings demonstrate that digital marketing and social media marketing initiatives significantly and positively influence business performance, accounting for 54.2% of the variance. Notably, social media marketing emerged as the most dominant predictor, fostering high levels of customer engagement. Furthermore, path analysis reveals that e-WOM serves as a critical mediator; effective social media strategies stimulate authentic digital testimonials, which subsequently enhance consumer trust and sales volume. This research concludes that for SMEs in emerging local markets like Binjai, the orchestration of digital reputation through e-WOM is fundamental to achieving sustainable competitive advantage in an increasingly volatile digital landscape.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

The flash flood disaster that hit Indonesia, including the devastating disaster in three Sumatran provinces in November-December 2025 which resulted in more than 900 casualties and trillions of rupiah in losses, shows a strong correlation between environmental damage caused by corporate activities and increased disaster risk. The purpose of this study is to analyze corporate criminal liability for environmental damage resulting in flash flood disasters based on the Environmental Management Law (UU PPLH), examine the mechanism for proving corporate criminal liability, and evaluate the application of criminal sanctions against corporations that commit environmental damage resulting in flash flood disasters. The research method used is normative legal research with a descriptive analytical statute approach. Data collection techniques are carried out through library research and interviews with sources at the North Sumatra Provincial Environmental Service. The data obtained were analyzed qualitatively. The results of the study indicate that: First, corporate criminal liability for environmental damage resulting in flash floods has been comprehensively regulated in Articles 116 to 120 of the Environmental Management and Management Law, which recognizes corporations as subjects of criminal law and regulates the criteria for corporate crimes (committed by, for, or on behalf of a business entity), the responsible party (the business entity and/or the person giving the order/leader of the activity), a one-third aggravation of the sentence, and corporate representation in court, as reinforced by Supreme Court Regulation Number 13 of 2016. The conclusion of this study is that the Environmental Management and Management Law has provided a comprehensive legal framework for corporate criminal liability for environmental damage resulting in flash floods. However, the effectiveness of law enforcement still needs to be improved through accelerating the judicial process, strengthening the capacity of law enforcement, improving inter-agency coordination, and strengthening the decision execution mechanism.

Terrorism is a serious threat to the security and unity of the Indonesian nation. Events such as the suicide bombing at the Medan Police Headquarters in 2019 show that acts of terror are increasingly complex and require swift and appropriate handling. For this reason, the government passed Law Number 5 of 2018 concerning the Eradication of Criminal Acts of Terrorism as a legal basis that strengthens the authority of the apparatus, including the Gegana Detachment of the Indonesian National Police Mobile Brigade Corps (Brimob), in carrying out counter-terrorism operations. This study aims to determine and analyze how the implementation of Law No. 5 of 2018 is carried out by the Gegana Detachment in the North Sumatra Regional Police area, identify obstacles faced in operations, and formulate strategies to increase the effectiveness of the implementation of the law. The results of the study show that the implementation of this law has been implemented through preventive, preemptive, and repressive approaches, such as sterilization of places of worship, social activities "Love Sunday", security patrols, and anti-terror training simulations. However, implementation in the field still faces various obstacles, including limited modern equipment, lack of cross-agency coordination, and low public participation. Therefore, personnel capacity building, infrastructure modernization, and strengthening inter-agency synergy are needed to achieve more effective counterterrorism efforts in North Sumatra.

Economic empowerment of rural communities through the strengthening of Micro, Small, and Medium Enterprises (MSMEs) is a crucial pillar in achieving national economic independence. One of the fundamental obstacles faced by MSMEs in rural areas is financial exclusion due to low digital literacy and dependence on conventional cash transaction systems. The Community Service Program (KKN) of students from the State Islamic University of North Sumatra (UIN SU) in Pematang Tengah Village was designed to bridge this gap by optimizing the Indonesian Standard Quick Response Code (QRIS). Through an intensive participatory mentoring approach, students acted as agents of digital transformation who educated, trained, and facilitated 10 local MSME actors in adopting non-cash payment technology. The results of the program show a significant shift from digital skepticism to digital trust. The implementation of QRIS has been proven to increase operational efficiency, financial management accuracy, and strengthen the image of business modernity in the eyes of consumers. This article emphasizes that the role of students is not merely as information deliverers, but as catalysts of social capital that is crucial for the sustainability of digitalization at the village level.

This activity was conducted in Timbang Lawan Village, located in Bahorok Sub-district, Langkat Regency, North Sumatra Province. The results of surveys and interviews with partners indicate that most residents, especially housewives, carry out activities at home, work as agricultural laborers, and engage in farming. This situation provides significant opportunities to train and educate them through programs aimed at improving economic conditions and financial independence. However, the main inhibiting factors identified are limited access to information, knowledge, and technology, which hinder their creativity in utilizing leisure time productively. The purpose of this community empowerment program is to provide education and socialization to inspire and empower the community in addressing economic problems through training in making dishwashing liquid. After this activity, it is expected that participants can reduce household expenses by no longer needing to purchase dishwashing liquid on a daily basis. Moreover, if opportunities arise, they may also identify business prospects to develop dishwashing liquid production. The expected benefit of this activity is to foster an entrepreneurial spirit among housewives in Timbang Lawan Village.

Public Relations (PR) of the State Islamic University of North Sumatra (UINSU) is a strategic unit that manages various important documents in the institution's administrative and communication activities. However, document loan management in this unit is still done manually, making it vulnerable to data loss, late returns, and difficulty in monitoring document status. This community service research aims to design and implement an integrated web-based document loan information system in the UINSU Public Relations sector. The system was developed using the PHP programming language with a MySQL database, implementing a modern, responsive interface. The system's main features include item/document data management, loan and return recording, and real-time stock monitoring. The results of the community service show that the system is able to improve document management efficiency, reduce recording errors, and make it easier for officers to monitor loan status. This system is expected to become a document asset management model that can be adopted by other units within the UINSU environment.

Financial literacy is a fundamental skill that should be introduced from an early age to shape wise financial behavior. Elementary school students need to understand basic financial concepts to recognize the value of money, distinguish between needs and wants, and develop saving habits. However, many children still lack adequate financial literacy. This activity aims to improve financial literacy among elementary school students through a saving habituation strategy at SD Negeri 040530 Bunuraya, Bunuraya Village, Tigapanah District, Karo Regency, North Sumatra Province, Indonesia. The methods used included observation, teacher interviews, financial literacy socialization, and hands-on assistance in saving activities. The strategies implemented involved simple financial education, pocket money management simulations, creating piggy banks, and conducting regular saving programs at school. The results showed an improvement in students’ understanding of money functions, the importance of saving, and positive changes in financial behavior. Students became more accustomed to setting aside their pocket money and demonstrated more frugal and responsible attitudes. This activity indicates that consistent and structured saving habituation can be an effective strategy for improving children’s financial literacy from an early age.

Rainfall is a crucial factor in the stability of the Earth's ecosystem and has a significant impact on agriculture, forestry, energy, and water management. However, increasingly unstable climate change makes rainfall patterns difficult to predict accurately using traditional methods. The city of Medan, the capital of North Sumatra Province, has a tropical rainforest climate with an average annual rainfall of approximately ±2200 mm and an average temperature of 27°C. Significant weather fluctuations in this area can trigger flooding when rainfall increases and cause water shortages when rainfall decreases (BMKG, 2021). Therefore, a prediction approach that can manage non-linear and dynamic data is needed. Artificial Neural Networks (ANN) are one of the reliable machine learning methods for detecting data patterns. By using the backpropagation algorithm, the model can gradually reduce prediction errors, making it widely used in weather forecasting applications. In this regard, this study uses ANN with the backpropagation method to forecast monthly rainfall in Medan City by utilizing data from 2022–2024 as training and testing data.

This study examines the utilization of social media in improving the competitiveness of cassava chips and lidah manis SMEs in Pematang Serai Village, Tanjung Pura District, Langkat Regency, North Sumatra Province. The rapid development of information technology has encouraged SMEs to shift from conventional marketing methods to more effective and efficient digital marketing practices. This research employs a descriptive qualitative approach, with data collected through field observations, in-depth interviews, and documentation involving SME actors. The results indicate that the use of social media platforms such as WhatsApp, Facebook, and Instagram is able to expand market reach, increase product visibility, and strengthen relationships between business owners and consumers. Attractive promotional content, consistency in posting, and responsive communication are proven to influence consumer buying interest and trust. However, SMEs still face challenges, including limited digital literacy, time management constraints, and the lack of structured marketing strategies. Therefore, continuous training and assistance are needed so that SMEs can optimize the use of social media more effectively. This study is expected to serve as a reference for the development of digital-based SMEs in rural areas.

This study aims to apply the Principal Component Analysis (PCA) method to identify the main factors influencing poverty in North Sumatra Province. Poverty rates in this region show significant variations among districts and cities, influenced by differences in social, economic, educational, and basic facility availability. The data used in this study include eleven indicators related to population, education, health, access to basic services, and economic conditions. All variables were initially normalized to ensure they had comparable scales, then PCA feasibility tests were conducted using MSA, KMO, and Bartlett's test, which indicated that the data were eligible for further analysis. The results of the PCA revealed three main components explaining a total of 69.91 percent of the variation. The first component represents regional population and economic factors, with the largest contributions coming from population density, open unemployment rate, and per capita expenditure. The second component reflects household living conditions, such as access to clean water, adequate sanitation, and health complaints. The third component describes the educational dimension through indicators of the population aged at the primary and secondary school levels. These findings indicate that poverty in North Sumatra is influenced not only by economic factors but also by the quality of basic services and education levels among the population. Therefore, this research is useful for policymakers at the central and regional government levels to consider the factors influencing the increase in poverty in North Sumatra.

The community service program entitled “Implementation of Digital Technology through Mapping MSME Locations on Google Maps to Enhance Consumer Accessibility in the Bukit Lawang Tourism Area” aims to improve digital literacy and business visibility among local micro, small, and medium enterprises (MSMEs) in Bukit Lawang, Langkat Regency, North Sumatra. The program was carried out using a participatory approach through socialization, training, and technical assistance involving four local MSMEs, consisting of two wildlife-themed painting craftsmen, one culinary business, and one souvenir craftsman. The results show that all MSMEs were successfully registered and verified on Google Maps, leading to increased consumer accessibility and customer interaction through digital reviews. In addition to expanding market reach, this activity also fostered awareness and independence among business owners in managing their online business profiles. This program demonstrates that location mapping through Google Maps serves as a simple yet effective strategy to support MSME digital transformation and strengthen community-based creative economies in rural tourism areas.

Tebing Tinggi City, which has a strategic position in North Sumatra, is experiencing changes in population growth that need to be predicted for development planning purposes. The purpose of this study is to forecast the population of Tebing Tinggi City in 2030 by applying the Double Integral method, and visualize the results in 3D using GeoGebra. The method used is a quantitative approach with a case study, where the population density function is created based on secondary data from the Central Statistics Agency (BPS) of Tebing Tinggi City for the period 2010 to 2024. Data on area and population per sub-district are used to develop a population growth model calculated using the double integral. The forecast results show that the population of Tebing Tinggi City is estimated to reach 26,038 people in 2030, with varying growth rates in each sub-district. 3D visualization through GeoGebra is able to depict the distribution of population density in an interactive geometric form, thus facilitating the understanding of complex mathematical concepts. The conclusion of this study is that double integrals can be applied effectively to predict population size, and GeoGebra serves as a very useful visual aid in presenting the results of multivariable calculus analysis.

This research is based on the awareness that music functions both as an artistic expression and as a cosmological representation embedded within the cultural structures of traditional societies. The Siwaluh Jabu traditional house in Lingga Village, North Sumatra, was selected as the object of study to examine the relationship between music and the cosmological views of the Karo people. The purpose of this study is to reveal the meaning of music within cultural practices and rituals carried out in the Siwaluh Jabu House, as well as to explore musical elements that reflect the continuity between humans, ancestors, and the universe. This research employs a qualitative approach, with data collected through literature review, participatory observation, and interviews with traditional leaders and local artists. The data analysis was conducted through data reduction, classification, data presentation, and drawing of conclusion. The results of the study show that music both the vocal mantra “ole…ah…ole” and the Gendang Lima Sendalanen ensemble contains symbolic values that interpret wood as a natural element, sustain social connections between groups, and reinforce the social system embedded in the spatial organization of the Siwaluh Jabu traditional house. Music serves as a medium of spiritual and cultural communication that unites the physical and metaphysical dimensions of life. The implications of this research enrich the perspective of music culture and emphasize the importance of preserving traditional music as a local knowledge system integrated with the cosmology of the Karo people.

This study aims to analyze the influence of the General Allocation Fund (DAU), the Special Allocation Fund (DAK), and the Gross Regional Domestic Product (GRDP) on the poverty rate in North Sumatra Province. The method used is multiple linear regression analysis using secondary data from 2004 to 2023. The results show that the DAU has a negative and significant effect on the poverty rate, meaning that the greater the DAU allocation, the lower the poverty rate in the province. Conversely, the DAK has a positive and significant effect on the poverty rate, indicating that an increase in DAK is actually followed by an increase in the poverty rate. Meanwhile, GRDP shows a negative effect on the poverty rate, but the effect is not significant. The coefficient of determination obtained shows that the DAU, DAK, and GRDP are able to explain variations in the poverty rate in North Sumatra Province. Simultaneously, the test results show that all three variables have a significant effect on the poverty rate. These findings suggest the importance of proper management of fund allocation and optimization of regional economic sectors to reduce poverty effectively.

This study aims to determine how to optimize container loading and unloading activities at PT. Pelindo Multi Terminal Sibolga Branch. Container loading and unloading activities are one of the main activities in port operations that greatly affect the efficiency and productivity of maritime logistics. PT. Pelindo Multi Terminal Sibolga Branch as one of the port service providers has an important role in ensuring the flow of goods in the West Coast of North Sumatra. This study is to analyze and identify factors that affect container loading and unloading performance as well as optimization strategies to improve time, costs, and resource utilization. The methods used in this study include field observations, interviews with related parties, and analysis of historical data on operational activities. The results of the study indicate that the main obstacles come from limited equipment, lack of coordination between parties, and low utilization of information technology. Suggested optimization efforts include the addition of heavy equipment for unloading, increasing workforce training, and digitalizing monitoring and scheduling systems.  

The purpose of this study is to evaluate income inequality and poverty as key indicators of uneven economic development in North Sumatra Province in 2024. This study analyzed various secondary sources, including BPS reports, SINTA-indexed national journals, and regional economic policy publications. The results show that regencies in the west coast and mountainous regions of North Sumatra tend to be lagging behind, while urban areas such as Medan and Deli Serdang have the highest concentration of economic growth, meaning that income inequality remains at a moderate-high level. The finding that economic progress remains uneven is reinforced by the fact that the poverty rate remains higher than the national average. From the results of this study, not only economic factors influence inequality and poverty, but also structural factors such as infrastructure access, human labor quality, and regional fiscal inequality. Therefore, more inclusive and integrated policies are needed to address inequality and improve welfare across all provinces.