The goal to be achieved through this research is to identify the factors that cause delays in the commuter train journey across Bogor-Manggarai Jakarta. The research question is why there is a delay in the journey of the Jakarta Bogor, Depok, Tangerang, Bekasi Commuter Train crossing Bogor-Manggarai. This study uses the Analytic Hierarchy Process to analyze timeliness. With the number of informants taken as many as 12 informants consisting of five people from regulators, five people from operators, one expert in the field of railways and users of commuter train of Jakarta Bogor, Depok, Tangerang, Bekasi. From the measurement results, it was found that the Jakarta, Bogor, Depok, Tangerang, Bekasi Commuter Train was still experiencing delays, due to follow-ups and cross-changes in the operation pattern of the Jakarta Bogor, Depok, Tangerang, Bekasi Commuter Train which was still mixed with long-distance and freight trains, the construction of the Manggarai station as part of the Double Double Track project, the signaling system at the station. Manggarai also underwent changes and there were speed restrictions at Manggarai Station. Recommendations are to complete the construction of the Manggarai and Jatinegara stations which are useful for separating inter-city and urban rail travel, updating the signaling system on the crossing between Bogor Station-Manggarai Station and City Station which is now 30 years old, handling and improving level crossings with coordinate with related units.
The purpose of this research is to maximize efforts in the innovation of Commuter Line services at Bekasi Station and know the service indicators that get the top priority to improve. The Importance Performance Analysis technique which is integrated with the Kano model is carried out because the increase in performance is always proportional to the increase in customer satisfaction, so a research was conducted at Bekasi station by integrating IPA and Kano models.Based on the result of the analysis of IPA integrated and Kano model there are four elements that need to be prioritized handelrs, namely Bekasi Station officers can be reliable and reliable, Bekasi Station officers have competence and trust, Bekasi Station officers have good information, data and years in answering passenger questions, Bekasi Station provides good physical facilities. The whole element is in quadran I whose handler needs to prioritize its existence because it is this element that is considered very important by service users, but is performance is still not statisfactory and belongs to the category of the one dimensional, where for this need. Customer satisfaction has linear fungction with the performance of the product element.
This research aims to measure service quality and timeliness which has an impact on passenger loyalty and passenger satisfaction on the Argo Parahyangan train. Some problems, such as the frequency of use of the Bandung-Jakarta Argo Parahyangan Railway transportation services, have not shown a minimum limit every weekend. There is still a difference between the departure and actual arrival of the Argo Parahyangan train against the schedule that has been set. The arrangement of the operating plan has not been maximized due to limited facilities. Research with a sample of 89 respondents and data analysis method using the method of path analysis. The results show that passenger satisfaction can mediate the indirect effect of service quality on passenger loyalty. Passenger satisfaction is able to mediate the indirect effect of punctuality on passenger loyalty. The key finding of this research is the perception of passengers who feel they have never received other services as comfortable as rail transportation and state that they will not switch to using rail transportation.
The purpose of the study are to analyse the train’s punctuality and load factor and to verify the effect of the train’s punctuality to its load factor. The study is about the Joglosemarkerto rail transport for 62 days or 2 months from December 2018 to Januari 2019. The data used in this study was a secondary data based on the delay and load factor of daily departure of the rail transport. The data analysis were using two techniques which were descriptive quantitative and linear regression. The result shows that the negative effect of punctuality to load factor due to the delay that giving negative effect to the load factor. The equation from the effect of punctuality to load factor was shown in Y = 310,790 – 1,630X.
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