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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.

This study aims to evaluate how petty cash management practices contribute to improving operational efficiency at PT Anugerah Langgeng Berkat Abadi. This research focuses on examining the implementation of the petty cash management system, applied procedures, and its impact on the smooth execution of daily operational activities. The study employs a descriptive qualitative approach, with data collected through interviews, direct observation, and documentation during the internship period. The collected data were analyzed systematically to describe the actual condition of petty cash management within the company. The results indicate that PT Anugerah Langgeng Berkat Abadi implements a fluctuating fund system in managing petty cash. Expenditures are initially recorded manually and then re-entered into the company’s internal digital system to maintain control and accountability. Petty cash is used to finance routine and urgent operational needs, such as office stationery, transportation costs, and other short-term expenditures. The company has established standard operating procedures governing the use, recording, and accountability of petty cash. Several challenges were identified, including delays in the disbursement and reimbursement process, which may affect time efficiency. However, overall, the petty cash management system is considered effective in supporting short-term operational needs without disrupting the stability of the company’s main cash. This study concludes that systematic and well-controlled petty cash management plays an important role in the company’s cost efficiency strategy and supports daily operational activities. These findings align with strategic management principles, where appropriate financial decision-making contributes to the achievement of long-term organizational objectives.

This study aims to analyze the role of the Regional Disaster Management Agency (BPBD) of East Flores Regency in managing the eruption disaster of Mount Lewotobi Laki-Laki during the pre-disaster, emergency response, and post-disaster phases. The study employed a descriptive qualitative method involving 18 informants from BPBD and affected communities in Wulanggitang and Ile Bura Sub-districts. Data were collected through observation, interviews, and documentation. The findings show that during the pre-disaster phase, BPBD implemented preparedness measures through disaster-prone area mapping, the establishment of Disaster Preparedness Teams and Disaster-Resilient Villages, public outreach, and the use of local wisdom. However, outdated contingency plans, limited early warning systems, weak relocation efforts, and low public awareness contributed to panic and casualties during the eruption. In the emergency response phase, BPBD successfully coordinated evacuation efforts, established emergency posts, and distributed logistics effectively. Nevertheless, displaced communities experienced discomfort due to prolonged emergency conditions and limited fulfillment of basic needs in temporary shelters. In the post-disaster phase, BPBD conducted rehabilitation and reconstruction through transportation recovery, trauma healing programs, and permanent housing development based on the Rehabilitation and Reconstruction Plan (R3P). However, limited funding and delays in reconstruction processes remained major challenges. Therefore, improving coordination, institutional capacity, disaster communication, and community participation is essential for effective disaster management.

This final project was an audiovisual feature video that explored the issue of uncertainty among informal sector workers, particularly porters at train stations. The work was motivated by the limited representation of porters, despite their important role in supporting transportation services. This report aimed to explain the application of the three-act structure in scriptwriting, consisting of Act I (Set Up), Act II (Confrontation), and Act III (Resolution). The production process included pre-production, production, and post-production stages, with scriptwriting as the main focus in constructing a structured narrative. In Act I, the work introduced the station environment and the porter profession to build audience understanding. Act II developed the conflict through the portrayal of job uncertainty, income instability, and the daily life of the main subject. Act III presented a reflective conclusion through multiple perspectives and symbolic visuals. The result showed that the three-act structure effectively created a systematic narrative flow and strengthened message delivery. In conclusion, the human-interest approach combined with observational visuals effectively conveyed social realities and fostered audience empathy toward informal workers.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

This study was conducted with the aim of identifying and analyzing the influence of price, innovation, and service quality variables on consumer decisions in using the Maxim online transportation service. The background of this research is the increasing competition in the online transportation industry in Indonesia, which encourages companies to continuously improve their marketing strategies to attract and retain customers. As one of the rapidly growing online transportation service providers, Maxim needs to understand the factors that influence consumer decisions in order to compete effectively. The method used in this research is a quantitative approach, with data collected through questionnaires distributed to 134 respondents who are active users of Maxim's transportation services. The data collected were analyzed using multiple linear regression to examine the effect of each independent variable (price, innovation, and service quality) on the dependent variable (consumer decision). Validity and reliability tests were also conducted to ensure the research instrument was appropriate for use.The results of the study show that all three independent variables—price, innovation, and service quality—have a positive and significant effect on consumer decisions. This means that the more competitive the price offered, the higher the level of innovation provided, and the better the perceived service quality, the more likely consumers are to choose and continue using the Maxim online transportation service.These findings provide practical implications for Maxim’s management in designing more targeted marketing strategies and service improvements, as well as strengthening the company’s position in facing market competition.

Sugarcane plays crucial and strategic role in the economy as the primary raw material for sugar production, thus ensuring proper procurement of sugarcane in the production process is crucial for smooth and successful production. This study aims to determine the management of sugarcane procurement and the constraints faced in meeting the demand for sugarcane at the Madukismo Sugar Factory in the Special Region of Yogyakarta. The basic method is descriptive. The location was determined intentionally at the Madukismo Sugar Factory in the Special Region of Yogyakarta, research was conducted from December 22, 2021, to January 15, 2022. The sampling technique was purposive sampling. Data collection methods included observation, interviews, and recording. The data analysis method was descriptive. The results of the study indicate that the procurement mechanisms for sugarcane include: factory capacity, planting area, planting schedule, and cutting schedule. Sugarcane planting is carried out in stages, starting from May to December, through partnership plantations and smallholder plantations. Harvesting and delivery of sugarcane to the Madukismo Sugar Factory are carried out in stages to prevent stockpiling of raw materials. Cutting is scheduled according to the harvest schedule, as the sugarcane harvest period is 12 months. Excess sugarcane raw materials at the Madukismo sugar factory will be processed the following day. Obstacles affecting the procurement of sugarcane raw materials at the Madukismo sugar factory include cutting labor, transportation, and the COVID-19 pandemic, which caused difficulties providing harvesting labor, resulting in delayed raw material delivery to the sugar factory in 2020 and 2021.

This study examines the effectiveness of public service management in Ponorogo Regency's transport sector, focusing on the performance gap between traffic asset conditions (signs, traffic lights) and formal maintenance policies. This gap indicates a non-proactive maintenance cycle, exacerbated by limited resources and low organisational responsiveness to public complaints. Employing a qualitative case study grounded in a synthesis of Edwards III's Policy Implementation Theory and the New Public Service (NPS) perspective, the core findings confirm that frontline officials' low proactive disposition mediates policy implementation failure. Instead of proactive responsiveness (anticipating minor damage), officials often exhibit passive responsiveness (acting only after major incidents or reports), leading to a critical breakdown in which administrative procedures are completed but the public outcome remains poor. The novelty of this research lies in proposing a Proactive and Participatory Governance Model. This model necessitates the institutionalisation of Public Involvement (Participation) to enhance transparency and shift asset performance evaluation from output-oriented to outcome-oriented. The study concludes that the optimal model for the Ponorogo Transportation Department is the synergy between agile asset management and NPS principles (proactive and participatory) to enhance public service effectiveness.

This study examines the influence of memorable tourism experiences and operational risk management in tourist train transportation on positive Word of Mouth (WOM), with tourist satisfaction serving as a mediating variable. A quantitative approach was employed, and data were processed using SEM-PLS 4. The research sample consisted of 247 respondents who had used tourist train services within the past year. The results reveal that both effective risk management practices and memorable tourism experiences perceived by tourists significantly impact tourist satisfaction. Additionally, tourist satisfaction plays a crucial mediating role in generating positive WOM. The study highlights that memorable tourism experiences, including aspects such as comfort, scenic views, and the quality of service, significantly enhance tourist satisfaction. Furthermore, operational risk management, which includes ensuring passenger safety, maintaining service reliability, and handling emergencies effectively, is essential for cultivating satisfaction and positive WOM. The findings suggest that businesses in the tourism industry, particularly those operating tourist trains, should prioritize both risk management and creating memorable experiences to foster customer loyalty and enhance WOM. This study contributes to understanding the dynamic relationship between risk management, customer satisfaction, and WOM in the tourism sector, providing valuable insights for improving service strategies in tourist train transportation.

Illegal street racing is a persistent issue in Indonesia, including Bungo Regency, endangering road users and violating traffic laws. This study, based on a case study at the Traffic Unit of Bungo Police Resort, aims to explore the police's role in addressing illegal street racing from an Islamic criminal law perspective. Using a qualitative juridical-empirical approach, the study examines legal regulations, institutional practices, and Islamic jurisprudence. Data was gathered from legal sources and literature related to law enforcement and Islamic criminal law. The results reveal that the police play a strategic role in combating street racing through preventative, preemptive, and repressive tactics. Repressive measures include law enforcement based on the Indonesian Traffic and Road Transportation Law, while preventive actions involve community outreach, traffic education, and regular patrols. From an Islamic criminal law viewpoint, illegal street racing is categorized as jarimah ta‘zīr, where authorities impose sanctions to maintain public order and prevent harm (mafsadah), aligning with the maqasid al-shariah goals of preserving property and life. The study concludes that effective and sustainable action against street racing requires collaboration between law enforcement, communities, and religious perspectives.

This study aims to examine the effect of leadership style and organizational communication on employee performance with work motivation as an intervening variable at the Department of Transportation of Pariaman City. The data analysis method uses questionnaires with a sample of 85 respondents. Data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Square (PLS) program. The results of this study indicate that: (1) There is a positive and significant effect of leadership style on work motivation, (2) There is no positive and significant effect of organizational communication on work motivation, (3) There is no positive and significant effect of leadership style on employee performance, (4) There is no positive and significant effect of organizational communication on employee performance, (5) There is a positive and significant effect of work motivation on employee performance, (6) Work motivation does not mediate the effect of leadership style on employee performance, (7) Work motivation does not mediate the effect of organizational communication on employee performance. This study provides insights for human resource management in government agencies.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Conflicts in transmigration areas are generally multidimensional and influenced by social, economic, land, and institutional factors. This study aims to identify the forms and distribution of conflicts in three districts of the transmigration area, namely Momi Waren District, Ransiki District, and Oransbari District, as well as to formulate a smart system-based conflict resolution approach through the use of spatial data, local institutions, and local wisdom-based settlement practices. Based on field mapping, four main categories of conflict were identified: 1) Land conflicts occur throughout the transmigration sites in the form of claims to transmigration land that has not been handed over to transmigrants because the compensation price is below normal. In addition, there is no ATR BPN office in South Manokwari Regency, one of whose functions is community empowerment and conflict resolution. 2) Economic conflicts occur because transmigrants are registered and recorded in the population registry, making it easy for them to access capital. Several economic activities in agriculture and transportation services are dominated by transmigrants, causing economic jealousy. 3) Social conflicts occur when the distribution of social assistance is uneven and the excessive use of illegally sold alcoholic beverages causes social unrest. 4) Institutional conflicts occur when civil servants, police, and military personnel are recruited, and not all indigenous Papuans who are nominated can be accommodated, requiring the involvement of tribal councils to formulate recommendations for recruitment that prioritize indigenous Papuans. The root causes of the conflict were analyzed using a root cause analysis approach that covered unclear land boundaries, unequal economic access, weak coordination between institutions, and low social trust due to differences in interests between groups. This study utilizes best practices from the Tribal Council, the South Manokwari Regency Transmigration and Manpower Office, the Religious Harmony Forum, and the Social Services Office as the basis for developing smart maps for an early warning system for conflicts. The results of the study formulate a Smart Conflict Resolution System framework consisting of three main components: (1) participatory spatial mapping of conflicts and key actors, (2) integration of institutional databases and social-customary mediation channels, and (3) design of smart maps as a mitigation and decision-making tool in transmigration areas. This system is expected to strengthen collaborative governance, prevent conflict escalation, and realize inclusive and sustainable management of transmigration areas

Whiteleg shrimp (Litopenaeus vannamei) is one of the species that is a national superior commodity. The traffic of shrimp between provinces in Indonesia showed a significant increase in the period 2014-2017 with an average growth of 74.48% per year. Things that need to be considered in distribution activities are determining the number of seeds to be transported, providing oxygen in the packaging container, optimizing the use of low temperatures to suppress metabolic activity. This study was conducted with the aim of determining different densities on survival and determining the optimal density for the survival of whiteleg shrimp (Litopenaeus vannamei) in closed transportation for 36 hours. The method in this study used an experimental method with data collection carried out through direct observation. The experimental design used in this study was a Completely Randomized Design (CRD) with 5 treatment combinations. Density consisted of 1500 individuals/2 liters, 2000/2 liters, 2500 individuals/2 liters, 3000/2 liters and 3500 individuals/2 liters. The main parameters observed were survival and the test parameters measured were DO, temperature, salinity, and pH. The results showed that the best performer was in Treatment (B) with a density of 2,000 individuals with a survival rate of 86.02%. The results of the air quality observation study showed that almost all were still at optimal levels to support the survival of whiteleg shrimp (Litopenaeus vannamei) with an average temperature of 26.22°C. pH 7.18 – 8.08. Dissolved oxygen 3.87 – 8.06 ppm.

Based on Law No. 11 of 2006 and Qanun Aceh No. 4 of 2010, the Government of Aceh has special authority in implementing prioritized health services for poor communities as part of its special autonomy. In practice, the Aceh Health Insurance (JKA) program provides health coverage for all Acehnese residents, including underprivileged groups, by covering insurance contributions and several referral and companion costs not fully guaranteed by the national health insurance system. This study aims to analyze the implementation system of JKA, examine the responsibility of the Aceh Government in providing health insurance for its citizens, and evaluate the government’s obligation to pay contributions for poor participants. This research uses an empirical juridical method with a sociological approach and utilizes both primary and secondary data. The results show that several provisions in the Qanun as the legal basis for JKA implementation are not fully aligned with field conditions and the Social Security Administrator Law. In practice, the Aceh Government bears insurance contributions and various referral costs for residents, including poor communities. Although the obligation to pay contributions for the poor has been implemented, funding for referral transportation, companions, and their consumption has not been fully covered, especially for inter-regional advanced healthcare services. Therefore, the Aceh Government needs to revise Article 43 of Qanun Aceh No. 4 of 2010 and evaluate the JKA program to ensure more targeted healthcare financing.        

Regional economic development requires understanding the structure and performance of economic sectors to create effective policies. PadangiCity, the capital of West SumatraiProvince, plays a strategic role in the regional economy. However, differences in sector contributions and growth indicate structural imbalances that need attention. This studyiaims to identify leading and potential economic sectors in Padang City to support sustainable development planning. The study uses Location Quotient (LQ), iDynamic Location Quotient (DLQ), and the Growth Ratio Model (GRM) to analyze secondary data on GrossiRegional Domestic Product (GRDP) at constant 2010 prices from 2020 to 2024, sourced from the CentraliBureau of Statistics of Padang City and West Sumatra Province. LQ results show that most sectors in Padang City are base sectors, especially business services, transportation and warehousing, ifinancial and insurance services, real estate, and wholesale and retail trade. DLQ analysis indicates that mining and quarrying, trade, transportation and warehousing, iinformation and communication, and health and social services have higher growth prospects than the reference region. GRM results show that trade, information andicommunication, real estate, health services, andiother services are leading sectors with good performance and growth potential. In contrast, agriculture, manufacturing, and construction are still lagging sectors. These findings highlight a structural shift in Padang City’s economy toward service-sector dominance and underline the need for sustainable, inclusive, and adaptive development policies to support long-term economic growth.

This study aims to identify and minimize waste in the process of procuring Food & Beverage raw materials at Hotel PXY Jasa Bali using the Lean Inventory Management approach. Observations over one month showed that the total procurement cost reached 47% of the total revenue, exceeding the ideal limit of 35%. One of the main causes is the inefficient and lack of synchronization between divisions in the Rhapsody platform, which causes waste in the form of defects, delays, over-processing, and transportation. This study uses the Value Stream Mapping (VSM) method to map actual conditions and Process Activity Mapping (PAM) to identify the type of activity based on the waste category. In addition, root cause analysis is carried out using the Root Cause Analysis (RCA) approach. The mapping results showed that out of the total lead time of 598.44 minutes, only 278.49 minutes or 46.54% were value-added activities. This finding indicates that the procurement process is not yet efficient and needs optimization. Several recommendations were given to minimize waste, such as clearer division of tasks, improved communication with vendors, and the procurement of supporting facilities to reduce physical movement between divisions. The implementation of this lean service is expected to be able to increase the efficiency of the logistics process and reduce the company's overall operational costs.

This study aims to analyse the role of the East Java Provincial Transportation Agency in improving the quality of inter-city bus transportation services within the province (AKDP) based on Soekanto's role theory (in Solahudin et al, 2022), which is reviewed using three indicators: regulatory role, service role, and supervisory role. The research employed a qualitative research method with techniques of interviews, observation, and documentation of the Transportation Agency, Organda, PO owners, drivers and conductors, as well as passengers at Bungurasih Terminal. The results of the study show that in terms of regulation, the Transportation Agency has established tariff policies and Minimum Service Standards (SPM), but these have not functioned optimally as operational guidelines, as reflected in the low transparency of tariff information and the varying quality of the fleet. In terms of service, although safety inspection procedures and service facilities are available, the quality of safety, comfort, terminal facilities, as well as access to information and complaint mechanisms have not been consistently felt by users. In terms of supervision, tariff compliance control and SPM implementation remain weak and tend to be tolerant of irregularities. The main findings indicate a serious gap between normative standards and field practices, resulting in standards losing their coercive power as quality guarantors. Therefore, this study recommends strengthening the enforcement of standards in a firm and consistent manner, increasing the transparency of service and tariff information, and conducting supervision that is oriented towards tangible results for the community.