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This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

This study aims to examine the implementation of Probolinggo City Regional Regulation Number 2 of 2024 concerning the Respect, Protection, and Fulfillment of the Rights of Persons with Disabilities, specifically regarding entrepreneurial rights in Kanigaran District. A descriptive qualitative approach with a single case study design was employed. Data were collected through in-depth interviews with four key informants, field observation, and documentary study. Data analysis used Miles and Huberman's interactive model, interpreted through Thomas B. Smith's policy implementation theory encompassing four variables: Idealized Policy, Target Groups, Implementing Organization, and Environmental Factors. Findings indicate that implementation has been underway but has not yet reached an optimal state. The policy possesses strong normative substance, yet socialization to target groups remains shallow and uneven. Entrepreneurial motivation among persons with disabilities is high, but constrained by limited capital, social stigma, transportation barriers, and insufficient post-training mentorship. The DKUP has conducted training and marketing facilitation programs, however capital support capacity and sustained mentorship remain critically limited. Environmental factors reveal potential through the KDK community and digital technology, while social stigma and transportation infrastructure continue to pose significant obstacles.

The development of electric vehicle technology has encouraged the use of electric bicycles as an environmentally friendly and energy-efficient mode of transportation. One of the main components of an electric bicycle is the hub BLDC (Brushless Direct Current) motor, which is considered more efficient because it is directly integrated into the wheel without requiring a chain transmission system. However, the performance of the hub BLDC motor is affected by operating conditions, particularly variations in load and speed, which influence current consumption and overall electrical performance. This study aimed to analyze the effect of load and speed variations on the current consumption of a hub BLDC motor. A quantitative experimental method was employed by conducting direct tests on an electric bicycle using load variations of 50 kg, 60 kg, and 70 kg, as well as speed variations of 30 km/h, 35 km/h, and 40 km/h. Current measurements were carried out in real time using a PZEM 051 sensor, and the collected data were analyzed using average values obtained from repeated measurements. The results showed that increasing the load and speed led to higher current consumption of the hub BLDC motor, from 4.6 A to 5.0 A under load variation and from 4.5 A to 5.1 A under speed variation. These findings indicate that both load and speed significantly affect the electrical current required by the hub BLDC motor, demonstrating that greater operating demands result in higher energy consumption.

The rapid population growth in urban areas has caused various complex problems, such as congestion, air pollution, and the high use of private vehicles, so that it becomes a challenge in realizing sustainable cities and settlements. Public transportation is present as one of the solutions in overcoming these problems because it can increase community mobility and reduce negative impacts on the environment. This study aims to analyze the implementation of Mass Rapid Transit (MRT), Light Rail Transit (LRT), TransJakarta, and Electric Rail Trains (KRL) in supporting the achievement of SDGs 11 Sustainable Cities and Settlements. This study uses a descriptive qualitative method with a literature study approach. The results show that the MRT and KRL contribute to efforts to reduce carbon emissions and congestion, TransJakarta excels in the aspect of cost affordability while the LRT plays a role in improving urban connectivity efficiently. Thus, public transportation palas an important role in realizing sustainable cities and settlements with the integration between modes of public transportation which is the main factor in supporting the achievement of SDGs 11 optimally.

Indonesia, as the largest archipelagic state in the world, lies on international trade and transportation routes and possesses abundant natural resources. This strategic position creates both opportunities and challenges, particularly in the maritime domain, which requires the Indonesian Navy’s significant contribution in force deployment planning to counter future threats and disruptions. The evolving strategic environment necessitates specific policies and strategies for the Navy to enhance its strength in safeguarding sovereignty, territorial integrity, and national security. This development is pursued through the establishment of the Minimum Essential Force (MEF), a fundamental standard that defines the minimum level of naval capability required to effectively execute missions and functions. This study employs a qualitative descriptive method, using primary data from expert and user interviews as well as secondary data from observation and documentation, to analyze the selection of helicopter escorts utilized by the Indonesian Navy.

Online transportation has become an essential component of modern urban mobility, significantly transforming the way people travel while creating new challenges related to service quality, safety, customer satisfaction, sustainability, and its impact on conventional public transportation. This study aims to examine the development of research on online transportation through a bibliometric analysis combined with a Systematic Literature Review (SLR). Data were collected from the Scopus database using the keyword "Online Transportation" and filtered using the PRISMA framework, resulting in 90 eligible articles for analysis. The bibliometric analysis was conducted using VOSviewer to identify publication trends, leading contributing countries, author affiliations, journal sources, and the most frequently occurring keywords. The findings reveal that research on online transportation remains relatively limited despite showing a gradual increase in recent years. Indonesia emerged as the country with the highest number of publications, followed by the United States, China, Japan, Malaysia, and the United Kingdom. Frequently occurring keywords indicate that online transportation research is commonly associated with traffic management, drivers, passenger safety, customer satisfaction, service quality, employment, and user loyalty. These findings suggest substantial opportunities for future studies, particularly in the areas of regulatory frameworks, sustainable transportation, traffic safety, digital technology integration, and the development of intelligent transportation systems to support more efficient, inclusive, and sustainable urban mobility.

Diesel engines are widely used in the transportation and industrial sectors due to their high thermal efficiency and good operational durability. However, increased fuel consumption due to inefficiency of the injection system remains a common problem. Injector characteristics, particularly nozzle diameter and injection pressure, are important factors that affect the quality of fuel atomization, air-fuel mixing, and combustion efficiency. An inappropriate combination of parameters can cause suboptimal combustion and increase fuel consumption. This study aims to analyze the effect of variations in nozzle diameter and injection pressure on fuel consumption efficiency in diesel engines. The method used is an experiment with variations in nozzle diameter of 0.150 mm, 0.152 mm, and 0.154 mm and injection pressures of 400 bar, 420 bar, and 440 bar. Tests were conducted at engine speeds of 500 rpm, 1000 rpm, and 1500 rpm with a fuel consumption measurement time of one minute for each parameter combination. Fuel consumption was measured using the volumetric method and analyzed through the fuel volumetric flow rate, fuel mass flow rate, Brake Power (BP), and Brake Specific Fuel Consumption (BSFC). The results showed that the combination of a nozzle diameter of 0.150 mm and an injection pressure of 400 bar produced the lowest BSFC value, thus providing the best fuel consumption efficiency. Meanwhile, the combination of a nozzle diameter of 0.152 mm and an injection pressure of 420 bar showed the closest condition to optimal because it was able to provide a balance between atomization quality and the amount of fuel injected, resulting in efficient and stable combustion. Thus, the efficiency of a diesel engine is influenced by the balance of nozzle size and injection pressure, not solely by the lowest fuel consumption.

XYZ is a manufacturing company engaged in steel pipe production. In the production process of non-American Petroleum Institute (API) steel pipes, the company still experiences various types of waste, resulting in an inefficient production process. The identified wastes include defects, waiting, transportation, and non-value-added activities, which contribute to increased production time and reduced productivity. This study aims to analyze the major wastes occurring in the non-API steel pipe production process and propose improvements using the Lean Manufacturing approach. The methods employed in this study include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), Process Activity Mapping (PAM), and Failure Mode and Effect Analysis (FMEA). Data were collected through direct observation, interviews, and documentation of the production process. The results indicate that the dominant wastes affecting the production process are defects, waiting, and transportation. PAM analysis shows that non-value-added activities remain relatively high, leading to production time inefficiencies. Based on the FMEA results, the main causes of waste are machine conditions, work methods, and operator skills. Proposed improvements include periodic machine maintenance, production quality control, work method improvement, and the optimization of material flow.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

The improvement of village road infrastructure plays an important role in enhancing community mobility and supporting local socioeconomic development. This study aims to analyze changes in mobility conditions before and after road improvement, explore community perceptions and experiences, identify changes in activity and economic patterns, and examine factors that support or hinder mobility optimization in Trayeman Village, Slawi District, Tegal Regency. A mixed-method approach was employed involving 98 respondents selected from a population of 5,229 residents using the Slovin formula with a 10% margin of error, along with 15 key informants for qualitative data collection. Data were gathered through observations, in-depth interviews, documentation studies, and Likert-scale questionnaires. Quantitative data were analyzed descriptively, while qualitative data were examined using the Miles and Huberman interactive analysis model. The findings indicate that road improvement has significantly enhanced community mobility, with an overall mean score of 3.89, categorized as high. Access to services recorded the highest score (4.06), followed by economic mobility (4.00) and social mobility (3.99). Community perceptions were largely positive, viewing the improved road as a catalyst for development and improved accessibility. Road improvement also encouraged broader economic opportunities, lower transportation costs, business growth, and increased income. Supporting factors included private vehicle ownership and supportive village policies, whereas high fuel prices, limited transportation options, and uneven local road conditions remained major challenges. Further improvements in supporting infrastructure and transportation services are recommended to maximize mobility benefits.

PT. Bukit Baiduri Energi (BBE) is a coal mining company that utilizes hauling roads as the main infrastructure for material transportation. This study focuses on a 1.7 km road segment selected as the object of technical evaluation. The objective of this research is to analyze the effect of road geometry improvements on hauling time efficiency and equipment productivity. The method employed includes direct field measurements and calculations of operational parameters such as travel time, cycle time, and productivity. The results indicate that improvements in road grade reduced travel time from 10.13 minutes to 9.86 minutes. This reduction was followed by a decrease in cycle time from 16.29 minutes to 16.22 minutes. In addition, productivity increased from 65.4 bcm/hour to 66.69 bcm/hour. Also, improvements in curve radius and superelevation were implemented on the hauling road. These improvements resulted in a further decrease in travel time from 9.86 minutes to 8.6 minutes. Consequently, the cycle time also decreased from 16.22 minutes to 16.18 minutes. The productivity of hauling equipment increased from 66.69 bcm/hour to 67.02 bcm/hour. Overall, the evaluation of road geometry provided a positive contribution to operational performance. The productivity of overburden removal increased from 65.4 bcm/hour to 67.02 bcm/hour, representing an improvement of 2.48%.

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.

This research aims to analyze the effectiveness of the Trans Banten Program in supporting the development of public transportation in Serang City. The research uses qualitative methods with a case study approach. Data was collected through observation, interviews, documentation and literature study, then analyzed interactively. The research results show that the Trans Banten Program is quite effective in increasing community accessibility and mobility, especially towards areas of education, government and public services. This service also provides economic benefits through reduced transportation costs and is supported by facilities that are relatively comfortable and safe for users. In addition, the increase in the number of passengers shows the public's acceptance and need for public transportation. However, the effectiveness of the program is not yet optimal because there are still obstacles in the form of fleet limitations, inaccurate operational schedules, passenger density during peak hours, and limited service information. Therefore, it is necessary to improve service quality, add fleets, and strengthen information systems to support the sustainability and optimization of the Trans Banten Program as public transportation in Serang City.

Waste is an environmental problem that can cause air pollution and health problems if not managed properly. The presence of Temporary Waste Disposal Sites (TPS) close to residential areas often produces unpleasant odors due to the decomposition of organic waste, thus disturbing the comfort of the community. This study aims to determine the relationship between the distance of homes from TPS and odor disturbances in the community in Andounuhu Village, Kendari City. The study used a quantitative method with a cross-sectional design on 58 respondents selected by purposive sampling. Data collection was carried out through questionnaires and observations, then analyzed univariately and bivariately. The results showed that residents living less than 100 meters from the TPS experienced odor disturbances more often than those living further away. The further the distance of the house from the TPS, the level of odor disturbance tended to decrease. This study shows that the proximity of residential areas to TPS affects environmental comfort, so that more optimal TPS management is needed through routine waste transportation and arranging TPS locations that are not too close to residential areas.

Waste is an environmental problem that can cause air pollution and health problems if not managed properly. The presence of Temporary Waste Disposal Sites (TPS) close to residential areas often produces unpleasant odors due to the decomposition of organic waste, thus disturbing the comfort of the community. This study aims to determine the relationship between the distance of homes from TPS and odor disturbances in the community in Andounuhu Village, Kendari City. The study used a quantitative method with a cross-sectional design on 58 respondents selected by purposive sampling. Data collection was carried out through questionnaires and observations, then analyzed univariately and bivariately. The results showed that residents living less than 100 meters from the TPS experienced odor disturbances more often than those living further away. The further the distance of the house from the TPS, the level of odor disturbance tended to decrease. This study shows that the proximity of residential areas to TPS affects environmental comfort, so that more optimal TPS management is needed through routine waste transportation and arranging TPS locations that are not too close to residential areas.

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.

Primary healthcare centers generate both medical and non-medical waste that may pose environmental and public health risks if not properly managed. This study aims to describe the waste management practices at Kesumadadi Public Health Center, Bekri Subdistrict, Central Lampung Regency, in 2025. This research employed a descriptive design conducted in May 2025 at the Kesumadadi Public Health Center. Data were collected through observation and interviews as primary data and secondary data from the health center. Data processing included editing, coding, tabulating, and cleaning, while data analysis was carried out using checklists and questionnaires. The results showed that the segregation of medical and non-medical solid waste was not fully in accordance with standards, waste transportation to temporary storage areas did not use trolleys and lacked designated routes, there was no wastewater treatment facility for liquid waste, and the use of personal protective equipment by staff was not optimal. Waste management practices at the Kesumadadi Public Health Center have not met the required standards, particularly in waste segregation, transportation, liquid waste treatment, and occupational safety, therefore improvements are needed to reduce environmental and health risks.

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 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 research is motivated by the increasing urban activities in Mempawah Hilir District as a Regional Activity Center, which has led to high traffic movement at the intersection of Jl. Raden Kusno – Jl. A. Djaelani – Jl. Raden Sujarwo. The diversity of land use and the meeting of arterial and collector roads create potential traffic conflicts and accident risks. The installation of traffic lights is implemented as a traffic control measure; however, its effectiveness in improving safety and comfort needs further analysis. This study aims to assess traffic safety and comfort conditions after the implementation of traffic lights at the intersection. A quantitative approach was used with primary and secondary data. Primary data were obtained through questionnaires on road users’ perceptions and field observations, while secondary data included traffic accident records from Mempawah Police and spatial development data from Google Earth Pro, Google Maps, Copernicus, and Google Colab. The analysis employed descriptive-comparative, spatial descriptive, and scoring methods. The results show that traffic lights implemented since August 2023 have reduced traffic accidents and improved safety conditions, although not yet optimal compared to the lowest accident rate in 2021. Increased land use activity and traffic volume influence this condition. User perceptions indicate improved comfort internally, but external factors such as road conditions and side obstacles still reduce comfort and safety.