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Kondisi jalan idealnya berada dalam keadaan mantap untuk mendukung mobilitas masyarakat, namun keterbatasan anggaran menjadi kendala sehingga diperlukan alokasi yang efektif, efisien, dan sesuai kebutuhan. Analisis prioritas penanganan jalan menggunakan Provincial and Kabupaten Road Management System (PKRMS) menghasilkan rekomendasi jenis penanganan, estimasi kebutuhan biaya, serta urutan prioritas berdasarkan data inventarisasi jalan, kondisi jalan, volume lalu lintas, dan harga satuan pekerjaan. Penilaian kondisi jalan dilakukan dengan menghitung nilai Treatment Trigger Index (TTI) sebagai dasar rekomendasi penanganan, sedangkan prioritas penanganan ditentukan melalui nilai Treatment Priority Index (TPI) yang mempertimbangkan kondisi jalan dan volume lalu lintas. Hasil analisis pada tujuh ruas jalan di Kecamatan Kranggan, Kabupaten Temanggung menunjukkan kebutuhan anggaran tahun 2026 sebesar Rp38.375,44 juta untuk pekerjaan rehabilitasi, pemeliharaan berkala, rutin kondisi, dan pemeliharaan rutin, dengan prioritas tertinggi pada ruas Jl. Kranggan–Klepu yang memiliki nilai TPI 84,2. Dibandingkan dengan alokasi anggaran tahun 2024 sebesar Rp 40,20 juta/km atau Rp 1.810,20 juta untuk total 45,30 km, dana yang tersedia hanya mampu mencakup pemeliharaan rutin, rutin kondisi, dan sebagian pemeliharaan berkala, sehingga diperlukan optimalisasi alokasi anggaran serta penambahan dana apabila peningkatan kemantapan jalan ditetapkan sebagai target utama

This study was conducted with the aim of analyzing the difference invehicle traffic volume in the morning and afternoon on the Moch.Sruji-Jalan PB.Sudirman road section in Jember Regency. The survey was conducted through field observationby directly recording vehicle volume at 15-minute intervalsminutes, covering four categories of vehicles: heavy vehicles, light vehicles, motorcycles, and non-motorized vehicles. The data obtained was analyzedusing a quantitative approach assisted by the SPSS application, including a normality testand a mean difference test to determine the significance of the difference invehicle volume between the two observation times. Descriptively, traffic flowin the morning had a higher volume, especially during peak hoursaround 06.00-08.00 with a total of 450-500 vehicles, whilein the afternoon it was in the range of 250-350 vehicles. In addition, motorcycleswere the most dominant type of vehicle in traffic flow compared toother vehicle categories. The conclusion of this study is that the pattern ofcommunity activity, which is more intense in the morning, makes this perioda peak hour with the potential to cause congestion. The results of this studyare expected to be taken into consideration in the formulation of targeted traffic engineering policiesin the study area.

Traffic violations are one of the serious problems frequently occurring in various regions, including Binjai City. Various types of violations, such as disobeying road signs and markings, incomplete vehicle documents, and violations that threaten the safety of drivers and other road users, continue to increase despite preventive and repressive efforts carried out by the authorities. This condition indicates that handling traffic violations cannot rely solely on field enforcement but also requires the support of technology capable of analyzing data more comprehensively. This study aims to predict the level of traffic violations by applying the Naïve Bayes method through data mining techniques. The dataset used consists of traffic violation records in 2023 from the Binjai City Police Department, with the main variables including violations of traffic signs and markings, document completeness, and safety-related violations. The Naïve Bayes method was selected because of its ability to perform classification with good accuracy, simplicity, and efficiency in processing large amounts of data. The implementation of this research is realized by developing a web-based application using Visual Studio Code as the development environment and MySQL as the database system. The results of this study are expected to provide structured information regarding traffic violation patterns, support authorities in making more effective decisions, and serve as an alternative solution in the prevention and handling of traffic violations in Binjai City.

The increase in traffic volume in urban areas often triggers various problems, especially at Road intersection points that have a high level of interaction between vehicles. One of the locations that experience these problems is the intersection with the island of traffic without signal on Jl. Tebu-Jl. Tabrani Ahmad, City Of Pontianak. This study aims to analyze the performance of the intersection in the existing condition and project its performance in the next five years (2030), as well as formulate alternative treatment that can improve the smoothness of traffic. The analysis method refers to Indonesian road capacity guidelines (PKJI) 2023 and modeling using software PTV VISSIM. The data collected include intersection geometry, traffic volume, and vehicle speed. Traffic volumes were obtained through CCTV recordings for three consecutive days, then processed and presented in the form of tables and graphs for easy interpretation. The results of the existing condition analysis showed that the degree of saturation (DS) reached 0.407 with an average delay of 9.539 seconds (Level of Service/LOS B) based on PKJI, while VISSIM simulation resulted in a delay of 12.54 seconds (LOS B). The five-year projection (2030) shows an increase in DS to 0.878 with a delay of 15.177 seconds (LOS C) from PKJI, and 23.35 seconds (LOS C) from VISSIM, which indicates a decrease in Junction performance as traffic grows. Two handling alternatives were analyzed, namely the construction of roundabouts and the implementation of traffic flow management. VISSIM simulation shows that the roundabout can reduce the delay to 14.31 seconds with a queue length of 20.34 m (LOS B), while the flow management produces a delay of 11.81 seconds with a queue of 13.14 m (LOS B). This result confirms that both alternatives are able to improve the performance of the intersection compared to the projected condition without handling, so that it can be a technical recommendation for urban traffic planning in Pontianak.

Kecelakaan lalu lintas di Kabupaten Brebes merupakan masalah kritis karena tingginya frekuensi insiden yang terjadi di wilayah tersebut. Penelitian ini bertujuan untuk menentukan area yang rentan terhadap kecelakaan dengan menggunakan algoritma K-Means Clustering , yang mendukung proses pengambilan keputusan berbasis data. Isu utama yang dieksplorasi dalam penelitian ini adalah bagaimana algoritma K-Means dapat diimplementasikan untuk mengelompokkan zona rawan kecelakaan dan meningkatkan kesadaran masyarakat terhadap keselamatan jalan. Metodologi yang digunakan meliputi pengumpulan data melalui tinjauan pustaka, observasi langsung, dan wawancara, yang dilanjutkan dengan penggunaan algoritma K-Means untuk mengklasifikasikan data kecelakaan berdasarkan jumlah kejadian, korban jiwa, dan cedera. Temuan menunjukkan bahwa algoritma K-Means secara efektif mengelompokkan lokasi rawan kecelakaan ke dalam tiga tingkat risiko yang berbeda: tinggi, sedang, dan rendah. Dengan demikian, informasi yang terklasifikasi ini dapat membantu otoritas terkait dalam meningkatkan langkah-langkah keselamatan lalu lintas dan mengedukasi masyarakat tentang area berisiko tinggi. Hasil penelitian ini diharapkan dapat berkontribusi pada pengembangan kebijakan keselamatan lalu lintas yang lebih terinformasi dan strategis di Kabupaten Brebes.

The digital transformation in education has encouraged the adoption of computer-based tests (CBT) using video content, which demands stable and efficient network performance. This study aims to evaluate the performance of two queue management algorithms, namely Random Early Detection (RED) and Per Connection Queue (PCQ), in maintaining the quality of service (QoS) of school networks during online video-based examinations. A case study approach was applied using a real network topology in a school environment, and QoS parameters such as throughput, delay, packet loss, and jitter were measured. The implementation was conducted using a MikroTik RB450Gx4 router configured with simple queue settings for each algorithm. The results show that PCQ provides more consistent performance under high user loads, achieving an average throughput of 56,482 bps and lower delay compared to RED. Conversely, RED performs better in scenarios with a small number of users. The study recommends using PCQ for networks with dynamic and dense user environments, while RED is more suitable for low-traffic conditions where latency stability is crucial. These findings offer practical guidance for managing bandwidth and improving the quality of CBT delivery in educational settings.

Di era digital yang terus berkembang, kebutuhan akan layanan web yang lebih cepat dan lebih andal menjadi sangat penting. Solusi umum yang digunakan untuk meningkatkan kinerja dan ketersediaan layanan web adalah teknologi kompensasi beban. Penelitian ini menganalisis perbandingan kinerja round robin robin dan last connection sebagai load balancer dari last connection. Metode penelitian menggunakan pendekatan eksperimental dengan menjalankan pengujian dalam dua skenario beban yang sama dan tegangan yang tidak merata. Pengujian dijalankan menggunakan Apache Jmeter  dan menghasilkan lalu lintas per detik per detik hingga 1000/500, 1200/600, 100/700, 1600/800, dan 1800/900 dalam fase per detik. Hasil pengujian menunjukkan bahwa Algoritma least connection memiliki waktu respons yang rendah di sekitar round-robin dalam semua skenario, dengan waktu respons rata-rata yang rendah sebesar 118 ms pada koneksi 1000/500, dan nilai tertinggi untuk koneksi 1800/900 adalah 150 ms. Sementara itu, waktu respons rata-rata untuk algoritma round-robin adalah antara 125 ms hingga 155 ms dalam skenario yang sama. Dalam hal throughput, algoritma round robin dalam skenario beban tinggi menghasilkan throughput yang tinggi, mencapai puncaknya pada 10.362 kb/s dengan koneksi 1800/900 dan least connection  pada 10.330 kb/s dengan skenario yang sama.

This study evaluates the relationship between the Automatic Dependent Surveillance - Broadcast (ADS-B) system and safety in air traffic management at the Semarang Branch of Perum LPPNPI. The need for enhanced efficiency and operational safety in air travel has increased, particularly following the rise in aircraft movements post-COVID-19. ADS-B, a satellite-based monitoring system, provides real-time data on aircraft position, speed, and altitude to air traffic controllers, facilitating quick and accurate decision-making. Employing a quantitative associative approach, the study uses saturated sampling, including all 26 active Air Traffic Controller personnel at the Semarang Branch. Data were gathered through a Likert scale questionnaire measuring respondents' perceptions of the variables. Analysis using SPSS revealed a significance value of 0.000, indicating a statistically significant relationship between ADS-B usage and flight safety. The correlation coefficient of 0.780 demonstrates a strong positive relationship, while the determination coefficient of 0.608 indicates that 60.8% of variations in flight safety can be attributed to the ADS-B system. Additionally, the t-test results confirm that the calculated t value exceeds the t table, reinforcing the conclusion of a significant and consistent relationship between the variables.

This study aims to analyze the meaning of traffic colors as nonverbal communication for motorcyclists in Bone Regency. The approach used is descriptive qualitative with a semiotic method, namely studying signs and how these signs produce meaning in the communication process. Data were obtained through in-depth interviews with two motorcyclists in Bone Regency. The results of the study indicate that the meaning of traffic light colors for each motorcyclist in Bone Regency with the aim of the study to reveal the level of understanding, attitudes, and behavior of drivers in responding to nonverbal messages conveyed by traffic lights, this study emphasizes that traffic lights are not just physical devices, but a sign system whose meaning must be understood and interpreted correctly by the community. Non-compliance with this sign indicates a shift or difference in interpretation in society, which can endanger mutual safety.

Persimpangan jalan merupakan titik pertemuan pada jaringan transportasi di mana dua atau lebih ruas jalan bertemu, yang dapat menimbulkan konflik arus kendaraan. Kondisi lalu lintas sangat mempengaruhi kinerja jalan, terutama pada persimpangan. Tujuan penelitian ini adalah untuk menganalisis kinerja Simpang Tiga Yogya Mall Kota Tegal melalui evaluasi lalu lintas dan simulasi, dengan memberikan rekomendasi untuk meningkatkan efisiensi dan mengurangi kemacetan. Metode yang digunakan meliputi survei lapangan untuk mengumpulkan data volume arus kendaraan dan geometrik jalan, serta perhitungan kapasitas jalan menggunakan metode PKJI 2023. Simulasi dilakukan dengan aplikasi Vissim, dengan kalibrasi dan validasi parameter perilaku pengemudi untuk mendekati kondisi aktual. Hasil penelitian menunjukkan bahwa kinerja simpang pada kondisi eksisting sesuai dengan standar PKJI 2023 memiliki tingkat pelayanan D dengan derajat kejenuhan (DJ) rata-rata 0,81 dan tundaan rata-rata 38,66 detik per kendaraan. Hasil simulasi menunjukkan peningkatan ke tingkat pelayanan C dengan tundaan yang lebih rendah (28,84 detik). Implikasi dari hasil penelitian ini adalah rekomendasi untuk mengoptimalkan arus lalu lintas di simpang tersebut melalui penerapan pengaturan sinyal yang lebih efisien dan penyesuaian geometrik simpang, sehingga dapat meningkatkan efisiensi dan mengurangi kemacetan di Simpang Tiga Yogya Mall Kota Tegal

This study aims to examine one of the efforts in creating order and safety on the highway by implementing the Electronic Traffic Law Enforcement (ETLE) system as an alternative to electronic traffic violation enforcement, without direct interaction between officers and violators and to find out how the ETLE system is implemented in Serang City and to what extent its effectiveness in reducing the number of traffic violations. The research method used is a qualitative descriptive method with data collection techniques through interviews, observations, and documentation. The results of the study indicate that the implementation of ETLE in Serang City has been running quite well, supported by surveillance camera technology and an integrated reporting system. However, there are still obstacles such as the lack of public understanding of this system and the limited coverage of the ETLE monitoring area. The implementation of ETLE is a progressive step in traffic law enforcement, but it needs to be accompanied by more massive socialization and development of supporting infrastructure so that the results achieved are more optimal.

This research is empirical in nature, involving direct field observations through interviews with authorized police officers of Bone Bolango who are responsible for handling traffic violations. The findings indicate that the role of the police is crucial in fostering traffic order through comprehensive and adaptive approaches. The strategies required by law enforcement to combat traffic violations emphasize the importance of holistic and contextual methods. Effective strategies must integrate strict law enforcement with public legal education and awareness-building, along with the use of modern technologies such as electronic traffic law enforcement (e-TLE) to enhance monitoring and transparency. The proposed recommendations highlight the need to improve the capacity of police personnel in both quantity and quality through continuous training focused on enforcement techniques and humanistic approaches. A more comprehensive approach is necessary, integrating enforcement, education, and community guidance simultaneously. These strategies must be supported by enhanced infrastructure and technology, such as the development of the e-TLE system and the installation of CCTV at high-risk violation points to improve monitoring effectiveness.

Discipline character education in early childhood refers to instilling obedience to rules at home, school, and in society for children aged 0–6 years. This education serves as a crucial foundation for shaping future generations. This study aims to examine the implementation of traffic ethics education for young children, the strategies used, and influencing factors at Al-Anshor Islamic Kindergarten Palembang in the 2023/2024 Academic Year. A qualitative descriptive method was employed, involving two teachers (Class A and B) as the main data sources. Data were collected through observation, interviews, and documentation. The findings reveal that the strategy for teaching traffic ethics includes: (1) Planning, by integrating traffic ethics indicators into RKM and RPPH; (2) Implementation, through integration in learning activities, school culture, and daily routines; and (3) Evaluation, conducted in conjunction with other learning assessments. The character values fostered through this process include self-confidence, discipline, and responsibility. These findings suggest that incorporating traffic ethics education into early childhood learning can effectively instill discipline, contributing positively to children's character development and awareness of civic responsibility from an early age.

In an effort to reduce the number of work accidents, Satlantas members as the responsible party need to maintain their performance in the field. However, in reality, performance can be influenced by other variables such as work stress and OCB. This will affect the results and quality of performance carried out. The purpose of this study was to determine the relationship and influence between two variables, namely work stress (X1) and OCB (X2) on the performance (Y) of Satlantas Aceh Besar members in reducing traffic accidents. This study is a study with a quantitative approach using a survey method. Data collection was carried out by distributing questionnaires containing 50 statements to 44 respondents of Satlantas Aceh Besar. Data analysis in this study used multiple linear regression, which produced the equation Ŷ = a + b1X1 + b2X2 + e where work stress and performance have a negative relationship direction with a coefficient value of -0.247, while the tcount value> ttable (-2.020) which means H0 is rejected. Then the results of the OCB t-test on performance have a t-value of 7.465 which is greater than the t-table of 2.020 so that H0 is accepted and OCB has an effect on performance with an F-value of 52.182 greater than the Ftable of 3.226 meaning that H0 is accepted which means that work stress and OCB together have an effect on performance. Then the results of the determination coefficient are known to be 0.718 which means that work stress and OCB have an effect on performance of 71.8%. From these results it can be concluded that work stress does not have a significant effect on member performance, while OCB has a significant effect on member performance and OCB with work stress together affect member performance.

Traffic accidents are events that not only affect physical and material losses, but also cause legal issues in the form of compensation claims. This research aims to comprehensively examine the legal mechanism of compensation claims for victims of traffic accidents in Indonesia, as well as identify obstacles in its implementation. The type of research used is normative legal research, with an approach to statutory provisions, jurisprudence, and other legal documents. The results of the study show that although the legal basis for compensation claims is available, its implementation is still constrained by low legal literacy, complicated evidentiary procedures, and weak institutional support. As a suggestion, regulatory reform, institutional strengthening, and community-based legal socialization are needed to improve victims' access to justice. Thus, the compensation system can run effectively, fairly, and sustainably to protect the rights of traffic accident victims.

A traffic violation is a violation or action that is contrary to traffic laws or regulations, in accordance with Law Number 22 of 2009 which was passed by the DPR-RI on 22 June 2009. The aim of this research is to get a picture of traffic violations in the Gorontalo Police area.  The research method used is qualitative analysis with a literature study approach through collecting primary and secondary data on reports on the number of traffic violations in the Gorontalo Police area from 2022 to 2024. From the research results it was found that during the last 3 years from 2022 to 2024 there were past violations traffic violations in the Gorontalo Police area that are most frequently reported are traffic violations regarding vehicle equipment, documents and driver equipment with more efforts being made in the form of persuasive efforts in the form of giving warning sanctions in take action against traffic violations rather than imposing fines according to the articles violated. There is also a downward trend in the number of violations reported in the Gorontalo Police area from 2022 to 2024.

This research examines the implementation of Electronic Traffic Law Enforcement (ETLE) as a technological innovation in traffic law enforcement in Tanjungpinang City. The main objectives of ETLE are to reduce traffic violations, eliminate extortion practices, and improve road safety. The method used in this research is normative juridical, with an approach to secondary data in the form of laws and regulations related to traffic and road transportation. The results showed that ETLE played an effective role in suppressing traffic violations, although there were still obstacles, such as lack of facilities and infrastructure, low public understanding, and technical obstacles in implementation. Factors driving the success of ETLE include legal substance, law enforcement, supporting facilities, community legal culture, and infrastructure readiness. To increase effectiveness, it is recommended that the socialization of ETLE procedures be improved, legal supervision be strengthened, and the scope of ETLE devices be expanded. This is expected to optimize traffic law enforcement and create a safer traffic environment in Tanjungpinang.

This research analyzes the growth of electric bicycles and efforts to prevent traffic accidents in Indonesia. The method used is a literature study to collect and analyze data from various sources. The results show that stricter regulations, supportive infrastructure development, and traffic safety education are needed to reduce the risk of accidents. Consistent law enforcement is also key in reducing the number of accidents involving electric bicycles. With these steps, it is hoped that a safer driving environment can be created for electric bicycle users in Indonesia.

Penelitian ini bertujuan untuk menganalisis korelasi antara arus, kecepatan, dan kepadatan lalu lintas di Jalan Pemuda km. 3, Kolaka. Data diperoleh melalui survei langsung dengan metode pengamatan lapangan dan perekaman video selama jam sibuk. Analisis dilakukan menggunakan pendekatan matematis dan statistik untuk mengidentifikasi hubungan antara variabel-variabel tersebut. Hasil penelitian menunjukkan bahwa terdapat hubungan yang signifikan antara arus, kecepatan, dan kepadatan lalu lintas. Arus lalu lintas meningkat seiring dengan peningkatan kepadatan, tetapi cenderung menurun pada tingkat kepadatan yang sangat tinggi. Kecepatan menunjukkan hubungan negatif dengan kepadatan, di mana semakin tinggi kepadatan, semakin rendah kecepatan rata-rata kendaraan. Temuan ini dapat digunakan sebagai dasar untuk mengembangkan model pengelolaan lalu lintas di kawasan tersebut, guna meningkatkan efisiensi dan mengurangi kemacetan. Studi ini juga merekomendasikan penerapan manajemen waktu dan rekayasa lalu lintas untuk mengoptimalkan kapasitas jalan.

This study analyzes noise levels caused by traffic activities and generator sets (genset) in the Semarang University environment. Measurements were conducted using descriptive analytical methods by comparing measurement results against noise quality standards according to KepmenLH No.48 of 1996. Data collection was carried out in November 2023 at three location points (in front of Building V, Sports Center, and USM gate) during morning (08.00-08.30), afternoon (12.30-13.00), and evening (17.30-18.00) on weekdays and weekends. Measurement results showed traffic noise levels on weekdays reached 88.3 dB in front of the Sports Center, 85.3 dB at Building V, and 82.1 dB at the USM gate. On weekends, the highest noise level reached 82 dB. Generator noise measurements in stationary conditions reached 108.4 dB and increased to 112.4 dB during loading. The highest vehicle volume occurred during weekday evenings, reaching 3,176 vehicles/hour. Research results indicate that noise levels in the campus environment are above the permitted threshold of 55 dB for educational areas. The study recommends the construction of noise barriers and evaluation of generator placement to reduce noise impact on campus activities.