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Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

Jakarta, the capital of Indonesia, is known for its high congestion levels. Data from the TomTom Traffic Index shows that Jakarta ranked 30th in the world in 2023 as one of the most congested cities, with a congestion level reaching 53% during peak hours. Pisangan Lama in East Jakarta is one of the densely populated areas, adjacent to busy roads. The main campus of STIKOM CKI, also located in East Jakarta, is situated along a route prone to heavy traffic. Given the congestion issues and the lack of information on the nearest routes, this study aims to implement the A* algorithm to find the shortest route from Pisangan Lama, East Jakarta, to the main campus of STIKOM CKI. The A* algorithm is chosen for its optimal routing capabilities. Based on research on three routes (Jl. I Gusti Ngurah Rai, Jl. Basuki Rachmat, and Jl. Raya Kalimalang), the results show that the route via Jl. Basuki Rachmat is the shortest, with a distance of 7.7 km. The implementation of the A* algorithm is expected to provide an efficient solution for the community in finding the nearest route.

This study examines the urgency of foreign nationals' (WNA) legal status and visa compliance in the vehicle rental business in Bali, as well as its impact on business disputes involving local entrepreneurs. The increasing number of international tourists visiting Bali has spurred the growth of vehicle rental services, yet it has also given rise to illegal practices by foreign nationals such as misuse of tourist visas for commercial purposes, tax evasion, and unfair business competition. This research adopts a normative juridical method using statute, conceptual, and case approaches, referring to key legal documents including Law No. 6 of 2011 on Immigration, Law No. 6 of 2023 on Manpower, Ministerial Regulation No. 21 of 2016, and Bali Regional Regulation No. 5 of 2016 on Tour Guiding. The findings highlight the vulnerability of rental contracts under Article 1548 of the Indonesian Civil Code, risks of breach of contract, and widespread violations of the Electronic Traffic Law Enforcement (ETLE) system, the penalties of which are imposed on rental owners. Nationality disparities and weak immigration oversight further undermine the effectiveness of law enforcement. This study concludes that legal protection for local business actors relies heavily on the legal clarity of WNA status, the appropriateness of 1 visa categories, and strong inter-agency coordination. The novelty of this research lies in integrating legal analysis of WNA legitimacy with a dispute resolution framework specific to the vehicle rental sector in Bali’s tourism landscape a perspective that has been largely overlooked in prior studies. The recommendations include strengthening rental contracts, enhancing coordinated supervisory mechanisms, and harmonizing civil and criminal law to establish a stronger deterrent effect.

Human Trafficking (TPPO) has undergone a significant transformation in its modus operandi alongside the massive use of information technology, giving rise to the phenomenon of cyber-recruitment within the online scam industry. This study aims to analyze the juridical construction of the criminal elements in the cyber-recruitment modus operandi based on Law Number 21 of 2007, and to evaluate the potential disharmony of norms between the TPPO regulation and the Electronic Information and Transactions Law (UU ITE) regarding the regulation of digital evidence. The research method employed is normative legal research with a statutory approach and a conceptual approach. The results indicate that, dogmatically, the elements of TPPO—comprising the process of virtual recruitment, the means of fraudulent job promises, and the purpose of digital forced labor exploitation—under Law No. 21 of 2007 remain relevant for prosecuting cyber-recruitment perpetrators, although it demands a broader legal interpretation of cyberspace realities. However, legal certainty issues were found due to the lack of synchronicity in the regulation of digital evidence, where differences in procedures and qualifications exist between electronic evidence in the TPPO Law and the evidentiary standards in the UU ITE, which are volatile in nature. The implications of this research conclude the need for regulatory synchronization through the establishment of technical guidelines for handling TPPO-specific electronic evidence to provide a solid legal foundation for law enforcement agencies. This step is crucial to overcome cross-border jurisdictional obstacles and to ensure substantive justice and comprehensive protection of victims' rights in the digital era.

In today’s world, social media has become an everyday necessity for interacting and socializing with others, but it has both positive and negative effects, particularly on the younger generation. The roles of parents and educators are crucial in building the digital resilience of the younger generation. The solution is to provide early education to the younger generation, particularly new students for the 2025/2026 school year, during the School Orientation Program conducted by the UKMC Community Service Team. The purpose of this activity is to educate new students at SMK Xaverius Palembang to improve their understanding of digital literacy and online etiquette and to use social media more responsibly. The PkM Team served as guest speakers, presenting material on digital literacy and social media ethics, as well as real-life case studies, on Thursday, July 17, 2025, in the auditorium of SMK Xaverius Palembang. This activity is a community service initiative that uses interactive educational methods, in which the team presents five questions related to online gambling, fake news, cyberbullying, explicit content, and ending human trafficking in the form of digital posters, and the students explain them. The team also provided real-life examples and explained their causes and effects. Based on the results of the program, students demonstrated increased awareness of the risks associated with online gambling, fake news, cyberbullying, and explicit content, as well as the importance of combating human trafficking, and were more likely to adopt positive social media etiquette.

Indonesia's maritime security faces increasingly complex challenges due to the rise of hybrid threats that combine traditional and non-traditional elements. One of the main threats is the shadow fleet, operating covertly with unregistered ships, evading detection, and exploiting weaknesses in maritime surveillance to engage in illegal activities such as smuggling, illegal transshipment, and unlawful exploitation of natural resources. This phenomenon exacerbates Indonesia's maritime security situation, particularly in strategic areas like the Natuna Sea and the Sunda Strait, which are vulnerable to geopolitical conflicts and overlapping territorial claims. Additionally, transnational crimes such as piracy, drug trafficking, and human trafficking further undermine security in Indonesian waters. To address these threats, Indonesia needs to strengthen its maritime surveillance capacity by adopting advanced technologies such as early detection sistems and the Automatic Identification Sistem (AIS), as well as enhancing coordination between maritime agencies like Bakamla and the Indonesian Navy (TNI AL) to improve responses to harder-to-detect threats. Moreover, international cooperation with neighboring countries and regional maritime organizations like ASEAN must be bolstered to tackle cross-border threats. Strengthening surveillance, modernizing technology, and fostering more integrative maritime diplomacy will be crucial in safeguarding Indonesia's maritime sovereignty and ensuring the stability of this increasingly strategic maritime region.

The Indonesian National Army as a member of the Indonesian National Guard is at the forefront of Indonesia in the eyes of the public as an example and role model in discipline, ethics, and compliance with the law. However, in the reality of daily life, there are still TNI soldiers who commit traffic violations, such as driving a vehicle without having a Driver's License (SIM). This research includes empirical juridical research, or called field research, which examines the applicable legal provisions and compares them with the reality that occurs in society. The research method used was in the form of interviews with five relevant sources, then the data was analyzed descriptive-qualitatively to provide a comprehensive understanding. The results of the study showed that (1) law enforcement against TNI soldiers who committed traffic violations without a driver's license was checked according to the procedure of the rapid inspection event; no long inspection minutes are required, it is enough to use the minutes of traffic violations and road transportation or tickets from the military police; (2) Sanctions applied for minor traffic violations in the form of administrative disciplinary sanctions, including criminal prosecution of fines paid to military authorities and deposited into the state treasury. This reflects the balance between legal compliance and internal discipline of the TNI, as well as efforts to develop soldiers so that they remain an example for the community.

Population growth and socio-economic activities increase traffic volume, affecting the performance of the Raden Kusno – A. Djaelani – Sujarwo signalized intersection. This study aims to analyze the intersection’s current performance, estimate its condition over the next five years, and formulate alternative treatment strategies. The research data include geometric characteristics, signal timing, vehicle speed, and traffic volume obtained from CCTV recording over a three-day observation period from moning to evening, as well as population and vehicle data for projection. The intersection performance was analyzed using the PKJI 2023 approach and VISSIM simulation. Under current conditions, the intersection operates at LOS E with delays of 45,12 seconds (PKJI 2023) dan 60,56 seconds (VISSIM). In the five-year projection, delays increase to 48,97 seconds with LOS E (PKJI 2023) and 131,29 seconds with LOS F (VISSIM). Modifying the signal from four to three phases with a 70-second cycle improves the current condition to LOS C, with delays of 24,50 seconds (PKJI 2023) and 29,43 seconds (VISSIM). For the five-year projection, adding a continuous left-turn lane results in LOS D with 27,04 seconds (PKJI 2023) and LOS C with 32,01 seconds (VISSIM).

This research aims to examine and analyze the phenomenon of speeding and illegal racing, which poses a significant threat to traffic safety within the legal jurisdiction of the Buleleng Resort Police (Polres Buleleng). The study employs empirical legal research methods, gathering primary data through observations and interviews with traffic police officers, alongside secondary data from legal literature and previous studies. The findings indicate that the speeding phenomenon in Buleleng is predominantly carried out by teenagers and young adults, often motivated by social media trends, peer pressure, and the search for identity. This reckless behavior leads to a high rate of traffic accidents, frequently resulting in severe injuries or fatalities. Furthermore, law enforcement efforts by Polres Buleleng face several challenges, including the high mobility of the perpetrators, lack of personnel during specific hours, and low legal awareness among the public. Preventive measures such as counseling in schools and repressive measures like electronic traffic law enforcement (E-TLE) and routine patrols need to be optimized. This study concludes that an integrated approach involving the police, educational institutions, and parents is crucial to mitigating the speeding phenomenon and ensuring traffic safety.

The performance of asphalt mixtures is strongly influenced by the composition of their constituent materials, particularly aggregate size and mixing temperature during production. In many tropical and subtropical regions, asphalt pavements frequently experience rutting, reduced stability, and changes in viscoelastic properties due to high environmental temperatures and heavy traffic loads. These conditions can significantly affect pavement durability, making it essential to produce asphalt mixtures that meet established technical standards. This study aims to analyze the effect of variations in aggregate size distribution and mixing temperature on the Marshall characteristics of Asphalt Concrete Wearing Course (AC-WC) mixtures. The research employs the Marshall test method to evaluate the load-bearing capacity and stability of hot asphalt mixtures and to assess their compliance with ASTM/SNI standards. The results indicate that mixtures with standard aggregate gradation achieve stability values of 985 kg at 120°C, 1055 kg at 140°C, and 1107 kg at 160°C. As mixing temperature increases, flow values decrease, while the Marshall Quotient (MQ) increases, indicating improved stiffness. Higher temperatures also enhance compaction, reducing VIM and VMA while increasing VFA. Conversely, non-standard aggregate gradations result in several parameters failing to meet ASTM/SNI requirements, confirming that standard gradation produces superior asphalt performance.

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 examines the implementation of Indonesia’s Visa on Arrival (VoA) policy in DKI Jakarta as both an instrument of tourism-driven economic recovery and a component of non-military national defense management under Law No. 23 of 2019 on the Management of National Resources for National Defense. While VoA has significantly contributed to the rebound of international tourist arrivals—surpassing 11 million visits nationally in 2023—it simultaneously generates governance challenges at strategic entry points such as Soekarno–Hatta International Airport, where facilitation of mobility intersects with risks including overstaying, transnational crime, human trafficking, and potential infiltration by non-state actors. Existing scholarship largely emphasizes economic impacts and regulatory frameworks, leaving limited analysis of VoA as part of an integrated civil defense infrastructure. Addressing this gap, the study aims to analyze how VoA implementation in DKI Jakarta is managed within a non-military defense perspective, particularly regarding institutional coordination, immigration intelligence, and risk mitigation mechanisms. Employing a qualitative case study approach, data were collected through in-depth interviews with immigration officials and security stakeholders, document analysis of relevant laws and ministerial regulations, and review of official immigration statistics, followed by thematic analysis. The findings indicate that although VoA effectively supports economic and diplomatic objectives, its function as a non-military defense instrument remains constrained by fragmented inter-agency coordination, uneven intelligence integration, and limited adaptive governance capacity at the local level. Strengthening collaborative surveillance systems, data-sharing mechanisms, and strategic policy alignment between immigration authorities and national defense institutions is therefore essential. The study concludes that reframing immigration governance as part of Indonesia’s broader non-military defense strategy is crucial to balancing openness with security in high-density international gateways.

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.

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.

The increasing integration of internet technology in educational institutions requires structured network governance to ensure that digital resources support academic activities effectively. Unrestricted access to online platforms often leads to non-academic usage such as online gaming and social media engagement during instructional hours, which may reduce learning concentration and degrade network performance. This research develops and evaluates a network access control simulation using a MikroTik RouterBoard RB951Ui-2HnD device. The system applies firewall filtering mechanisms, hotspot-based authentication, and bandwidth allocation strategies through Simple Queue configuration. Network segmentation is implemented to differentiate teacher and student access privileges. The study adopts a Research and Development (R&D) approach to design, configure, test, and evaluate the proposed system. Testing results indicate that the firewall configuration successfully restricts access to selected online games (Mobile Legends, Clash of Clans, Roblox) and social media platforms (YouTube, TikTok, Shopee, Instagram, Telegram). Furthermore, bandwidth management demonstrates effective traffic prioritization, ensuring more stable allocation for teacher accounts in accordance with configured maximum limits. The findings confirm that structured firewall and bandwidth policies can improve network discipline, enhance performance stability, and support a controlled digital learning environment in schools.

This study evaluates the implementation of spot-check testing for road preservation works in Manado City, specifically on the Kairagi–Mapanget segment, the Manado City–Wori boundary, and the Liwas Terminal Access Road, to identify existing problems and assess the effectiveness of engineering-based mitigation efforts. The objective is to examine construction quality compliance with technical specifications and identify operational challenges encountered on site. The methodology encompasses the measurement of asphalt layer thickness and density via a core drill, the examination of contract documents, the analysis of laboratory test results, and the execution of field observations. The findings show that most samples meet the required standards, although several locations require corrective action. Challenges arise from weather conditions, heavy traffic, equipment limitations, and the need for adaptation to updated technical regulations. Operational mitigation strategies, staff training, the use of core drill technology, and digital documentation were found to enhance accuracy and efficiency in evaluation. The research demonstrates the value of stakeholder collaboration and capacity building in supporting quality control for road preservation works. A multidimensional approach is effective in resolving technical and operational complexities in urban road projects.

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.

This study aims to analyze the investigation process involving children as perpetrators of trafficking in persons at the Women and Children Protection Unit (PPA) of Bukittinggi Police Resort and to assess the forms of legal protection provided at each stage of the examination. This research applies an empirical juridical approach by combining literature review and field research through interviews with investigators and related parties. The findings indicate that the investigation process has been conducted in accordance with Law Number 11 of 2012 concerning the Juvenile Criminal Justice System, while upholding the principle of the best interests of the child. Legal protection is implemented through legal assistance, closed hearings, limited detention periods, and coordination with relevant institutions to support the child’s recovery and rehabilitation. However, several obstacles remain, including the limited number of investigators, restricted investigation timeframes, and difficulties in presenting witnesses. This study concludes that legal protection for children involved as perpetrators of trafficking in persons has been carried out in line with normative regulations, yet it requires strengthened institutional capacity and inter-agency coordination to ensure more effective implementation.

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.