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The development of information technology has accelerated digitization in various sectors, including in the decision-making process. In the DayTrans Shuttle service, the selection of the best route is still done manually using Microsoft Excel. This process is time-consuming, inefficient, and has the potential to cause errors and subjectivity. The purpose of this study is to design and develop a web-based decision support system by applying the Weighted Product (WP) method to determine the most optimal shuttle route objectively and efficiently. The research data was obtained through interviews, observations, and literature studies, then analyzed according to system requirements. The development was carried out through the stages of requirements analysis, database and interface design, implementation, and testing. The developed system is equipped with features for managing criteria data, alternative routes, weight calculations, and real-time presentation of recommendation results. The research results show that the system functions well, is able to speed up the route selection process, and produces accurate and transparent recommendations. Thus, this system is expected to improve DayTrans' operational efficiency while supporting the quality of inter-city transportation services.

Kota Padang merupakan salah satu kota yang ada di Provinsi Sumatera Barat dan juga merupakan ibu kota dari Provinsi Sumatera Barat yang saat ini memiliki perkembangan di berbagai bidang seperti bidang ekonomi, transportasi dan perkembangan infrastruktur kota itu sendiri. Akibat perkembangan penduduk dan transportasi maka akan membutuhkan angkutan umum sebagai penunjang perkembangan tersebut. Tujuan dari pelaksanaan penelitian ini adalah untuk mendapatkan data kinerja pelayanan angkutan sebagai bahan evaluasi dalam penataan angkutan umum di Kota Padang. Hasil dari penelitian ini yaitu Frekuensi tertinggi terdapat pada trayek 419 yaitu 39 Kend/jam sedangkan frekuensi terendah adalah sebesar 1 kend/jam yaitu pada trayek 404, 411, 412, 423, 444,445, 410A, dan 444B. Headway tertinggi yaitu pada trayek 404 dengan headway 596 menit, sedangkan headway terendah terdapat pada trayek 419 dengan headway 2 menit.Load factor tertinggi terdapat pada trayek 434 yaitu sebesar 56,17%  sedangkan load factor terendah terdapat pada trayek 423 yaitu sebesar 9,09%. Tingkat operasi tertinggi terdapat pada trayek 54, dengan nilai tingkat operasi sebesar 100%, kemudian tingkat operasi terendah terdapat pada trayek 423 dengan nilai tingkat operasi sebesar 2,44%

Low back pain (LBP) is one of the most common musculoskeletal problems experienced by workers, especially those in professions that require prolonged static sitting, such as public transportation drivers. This condition not only impacts work productivity but can also disrupt daily activities and increase the risk of chronic health problems. This study aims to analyze factors associated with the incidence of LBP in public transportation drivers on the Latuhalat route at Mardika Terminal, Ambon City. The study design used an observational analytical approach with a cross-sectional approach. The study population consisted of 96 public transportation drivers, and 51 were selected as samples through a purposive sampling technique based on inclusion criteria. The independent variables in this study included driving position, driving duration, age, and length of service, while the dependent variable was low back pain. Data were collected using questionnaires and observation sheets, then analyzed using the Chi-square test. The results showed that all independent variables, namely driving position, driving duration, age, and length of service, had a significant relationship with the incidence of LBP (p < 0.05). Thus, ergonomic factors and workload significantly contribute to the occurrence of NPB in public transportation drivers. Therefore, ergonomic interventions, proportional work hour arrangements, and the implementation of occupational health programs are important steps in reducing the risk of NPB in drivers.

This study aims to evaluate the effectiveness of the Sea Toll Program, specifically Route T-26, with a focus on its outcomes and tangible benefits for the community in Fakfak Regency, West Papua. The research employed a descriptive quantitative method using statistical analysis through a paired sample t-test. Primary data were collected through field observations and interviews with relevant agencies such as the Directorate of Sea Traffic and Transportation and field implementation consultants, while secondary data were sourced from the 2024 operational report of Route T-26. Data collection techniques included field observation, primary surveys, document studies, and secondary data analysis. The findings indicate that the Sea Toll Program contributes to improving logistics distribution, lowering the prices of several key commodities, and reducing household expenditures, although statistical tests showed that the price differences were not significant. The implications highlight the need to optimize the volume and regularity of Sea Toll voyages to strengthen economic resilience in remote, outermost, underdeveloped, and border areas (3TP).

In the current era, public interest in using public transportation in Indonesia has decreased significantly, people prefer to use private transportation. Therefore, further research is needed on the factors that influence public interest in using public transportation services in Indonesia. This study will examine the variables of Aggressive Driving, Brand Image, Equality, and Price Perception in their influence on interest in using public transportation services, a case study on the PO. Damri Bus route Ponorogo - Tulungagung. The purpose of this study is to examine how much influence there is between the variables Aggressive Driving, Brand Image, Equality, and price perception, on public interest in using public transportation. The sample in this study was 100 respondents who were passengers of the PO. Damri bus route Ponorogo-Tulungagung. The data analysis technique in this study used multiple linear regression analysis with SPSS 26.0 statistical tools. Based on the results of the study and data analysis, the regression equation was obtained as follows: Y = -1.631 - 0.273X1 + 0.266X2 + 0.243X3 + 0.339X4 + μ The results of multiple regression analysis show that aggressive driving has a negative effect on public interest, while the variables brand image, equality, and price perception have a positive effect on public interest. Of the 4 hypotheses proposed in this study, Hypothesis 1 is rejected (t-count <t-table), the other hypotheses H2, H3, H4 are accepted as indicated by the t-count value> t-table. Adjusted R Square value = 0.613, this shows that the four variables above influence public interest by 61.3%, while the rest (100% - 61.3% = 38.7%), this proves that public interest in using public transportation is influenced by other variables outside the study or outside the regression equation model by 38.7%.