Commuter Line Research Articles

Decoding infrastructural terrain: the landscape fabric along the Sincan-Kayaş commuter line in Ankara

ABSTRACT The rise of railways as urbanistic and landscape opportunities has generated new tracks in theory and practise. Apart from being decisive in the formation and development of the urban fabric, railways have also manipulated rural and urban landscape. With their surrounding land and integrated (sub)(infra)structure, they manifest infrastructural terrain where the interrupted relation amongst city, landscape and human can be rediscovered. Hence, this article intends to decode the infrastructural terrain along the Sincan-Kayaş commuter line in Ankara (Turkey) and reflect on the fragmentation of the landscape fabric in order to appreciate the currently existing landscape fragments: linearscapes, heritage lands and desolate lands. By means of these three types, the commuter line, currently forming an urban obstacle, might be revealed as a reference for integrative infrastructural terrain introducing a new urban landscape agenda for Ankara.

Analysis of Passenger Satisfaction Level of Service And Facilities of Electric Rail Train (KRL) Commuter Line Route Bekasi - Manggarai

The train is considered to act as strategic public transport because of its ability to reduce congestion in urban areas. Various modes of transportation are in a race - a race to improve the quality of service that requires rail freight also needs to improve in all areas. Service is the main priority which is used as a benchmark in competitive advantages and facilities are factors that affect the services provided by the transport company. This is the underlying researchers to conduct research on passenger satisfaction ratings on the level of service performance and service facilities Commuter Line KRL Bekasi - Manggarai and to determine the factors affecting passenger satisfaction. Data obtained in the form of a survey by questionnaire online delivery methods. Methods of data analysis software used isms. Excel and SPSS software for statistical testing. The conclusions of the research by the method of Customer Satisfaction Index (CSI) obtained a passenger satisfaction index score of 76.11%. It is stated that the passengers very satisfied with the performance of services and facilities service station Commuter Line KRL Bekasi - Manggarai, only for the suitability of the train arrival and departure needs to be improved.

Effective Advertising Location in the Commuter Line: Study Cases in Jakarta and Surrounded Cities in Indonesia

The aims of the research were to determine the most effective advertising location compared to various available locations and to examine the behavior of commuter line passengers. The research was conducted at six train stations and samples were taken by a purposive sampling method. Data were collected by a structured interview. The Chi-square test was used to find out the differences of the advertising locations’ effectiveness, while a ranking method was used to determine the effectiveness of advertising locations. Eight locations were rated by passengers. The results reveal that the effectiveness of each location on the commuter line has proven to be different and the most effective advertising location is the hanging alley.

Smart Commuter Line (KRL) using IoT and SOA in Indonesia

Commuter line (KRL) one of the better public transportation for commuter people in Indonesia especially in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, Bekasi). Passenger satisfaction is the one of the service quality factor in KRL. There is no real time passenger information in both train and station, the situation make an unpredictable activity for passenger that want to use or wait the commuter line (KRL). Most of passenger cannot enter the train because the crowded passenger. KRL management cannot manage train capacity and train time management to meet passenger needs. This paper proposed a smart commuter line system to provide real time passenger information using IoT by count people using Markov Random Field framework and integrate all KRL enterprise system using SOA to support data integration.

Analysing the Influence of Cognitive, Affective, Conative, and Motivation Aspects on Train Passenger’s Deviant Behaviour: Commuter Line, Indonesia

Commuter Line in Jakarta and surrounding cities became the best public transportation for urban choice. However, there are still many problems related to behavior deviations. There are several forms of deviant behavior found, such as pickpocketing, sexual abuse, smoking, aggressive passengers, eating and drinking in the carriage, and priority seat abuse. The purpose of this paper is to analyze whether there is a significant influence among the cognitive, affective, conative, and motivation aspects of passengers simultaneously and partially to deviant behavior. Mixed-Method research is conducted to understand behavior aspects. Sequential exploratory research model is used with the main focus to explore a phenomenon of train passenger deviant behavior and divided into two stages. The first stage is the collection of qualitative data using observation and in-depth interview methods. The second stage is collecting quantitative data with the survey and distributing questionnaires methods. Multiple linear regression and triangulation analysis are used in this study with several tests such as hypothesis test and coefficient of determination test. The results showed some implication about passenger deviant behavior based on four aspects: cognitive, affective, conative, and motivation. The conclusions explained cognitive, motivation and, conative aspects show very strong influence on deviant behavior.

Railway commuter line passengers’ perceived service quality: hedonic and utilitarian framework

This paper aims to propose a new railway passengers’ perceived service quality model that can be implemented in Jabodetabek railway commuter line service. We have developed a perceived service quality model that is different from the existing railway passengers’ perceived service quality models by integrating utilitarian dimension, hedonic dimension and “filter” variables that can influence perceived service quality. More specifically, our railway passengers’ perceived service quality model has four utilitarian dimensions, four hedonic dimensions, and two filter variables. The utilitarian dimensions are tangibles, reliability, safety, and information. The hedonic dimensions are education, aesthetics, entertainment, and identity. The filter variables are customer measurement knowledge and image. The theoretical implications, managerial implications, and future research were discussed.

THE INFLUENCE OF BRAND IMAGE AND BRAND EXPERIENCE ON BRAND LOYALTY ON BRIZZI CARD USERS AT BRI UNIT SENTRA BISNIS DRIYOREJO

Technology is getting more sophisticated, all daily activities are getting easier, including in terms of transactions. Now, the so-called Brizzi Card has become popular, which is a payment instrument with the value of money stored electronically on a server or card. This Brizzi card can then be used for payment transactions on the internet and merchants who have collaborated with the Brizzi card issuing bank. Became popular because Brizzi has been intensively used to transact online and offline stores. Public facilities have introduced the Brizzi Card as payment for tolls, commuter line, trans Jakarta, parking, and many more. This research was conducted to know and analyze the effect of brand image and brand experience on brand loyalty by using multiple linear regression analysis models. The sample used in this study were 100 respondents who were owners or users of the BRIZZI card at the Driorejo BRI Business Center Unit. The results showed that all research variables consisting of brand image and brand experience had a significant effect on the variable brand loyalty. This is proven empirically from the SPSS calculation which results in the calculated F value> F table, namely 16,156> 3.09 or by looking at the significant level of 0.000 <0.05. The results also show that the brand image variable has a significant effect on brand loyalty. This is proven empirically from the SPSS calculation which results in the value of t count> t table, namely 5.055> 1.661 or by looking at the significant level of 0.000 <0.05. Meanwhile, brand experience has no significant effect on brand loyalty. This is proven empirically from the SPSS calculation which results in the value of t count <t table which is 1.086 <1.661 or by looking at the significant level of 0.280> 0.05.

Perhitungan Efektivitas Gardu Traksi Krl Lintas Manggarai - Bogor

Kereta Rel Listrik PT Kereta Commuter Indonesia (KCI) merupakan sarana transportasi yang mengangkut penumpang di Jabodetabek. Pada lintas Bogor–Manggarai disuplai beberapa Gardu Traksi. Penelitian ini bertujuan untuk mengetahui bagaimana kemampuan kapasitas daya gardu pada lintas bogor – manggarai terhadap pembebanan pola operasi KRL saat ini serta bagaimana kemampuan kapasitas daya dukung gardu terhadap peningkatan pembebanan pola operasi KRL pada peak hour. Untuk itu data primer maupun sekunder dianalisa dengan rumus perhitungan. Diantaranya: berat total KRL, kapasitas daya gardu traksi pada lintas manggarai–bogor, kapasitas daya berdasarkan headway, kapasitas daya berdasarkan arus maksimum, kapasitas yang dibutuhkan, dan kapasitas lintas yang digunakan pada jalur ganda. Dapat disimpulkan bahwa kapasitas daya listrik lintas Manggarai–Bogor pada kondisi headway normal 4 menit sesuai GAPEKA tahun 2017 dapat dipenuhi oleh Gardu Traksi Bojonggede. Serta pada kondisi peak hours Gardu Traksi Bojonggede dapat mendukung dengan headway 3,75 menit dan dapat diperkecil menjadi 3 hingga 2 menit.

Travel behavior of commuter line passenger to station in Depok City

Depok City as one of the satellite cities has developed both in terms of population, social, economic and environment. The high mobility of commuter line passengers is influenced by the pattern of passenger travel using various modes of transportation such as: public transportation, private transportation online transportation, non-motorized vehicles or walking. The analysis used is the multinomial logistic regression method by observing the socio-economic characteristics of passengers and the travel characteristics of commuter line passengers. The results of the study suggest that the behavior of passengers to the station (access mode) is influenced by transport time and costs. And then, most of the commuter line passengers use online transportation as a means to get to the station. So the choice of the most used transportation modes will have an impact on the arrangement of facilities at Depok City stations.

Maintaining Customer Loyalty by Intensifying Service Quality and Customer Satisfaction in Commuter Line Jabodetabek

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.

FAKTOR - FAKTOR YANG MEMPENGARUHI MINAT KONSUMEN DALAM MENGGUNAKAN JASA TRANSPORTASI KRL / COMMUTER LINE DENGAN METODE ANALISIS FAKTOR

The purpose of this study was to find out how many factors were formed through the reduction process, to determine which factors most dominantly influence consumer interest in using KRL Commuter Line transportation services, to find out how much influence the most dominant factors influence consumer interest in using KRL Commuter transportation services Line. In this study, the Factor Analysis method was used with principal component analysis techniques using SPSS software. 7 stages of factor analysis, namely: (1) formulating a problem, (2) Variable Interference Test, (3) forming a correlation matrix, (4) determining factor analysis methods, (5) extracting factors, (6) rotating factors, and (7) interpret factors. Based on the results of the study, the number of factors formed from the reduction process is 7 factors. Consisting of one factor (F1) with a correlation value of 0.608, factor two (F2) with a correlation value of -0.277, factor three (F3) with a correlation value of -0.246, factor four (F4) with a correlation value of 0.419, factor five (F5) with the correlation value is 0.716, factor six (F6) with a correlation value of -0.392, factor seven (F7) with a correlation value of 0.570. The most dominant factor affecting consumer interest in using KRL Commuter Line transportation services is factor five (F5) with a correlation value of 0.716 or 71.6%.

TINGKAT AKSESIBILITAS PEJALAN KAKI (STUDI KASUS PEJALAN KAKI STASIUN DEPOK BARU)

This research aims to find out the accessibility levels for pedestrian in Depok Baru Stastion based on time. The method used is observation include with the desk approach. The research is to find out walking distance the pedestrian walking along transfer process for transportation mode. Number of pedestrians that will be taken as many as 100 pedestrians from 3 points. The result of this research will accessibility index (AI) score with Public Transportation Accessibility Levels (PTAL) which based on time and transportation mode (railway as commuter line and car public transport). The result showed accessibility index levels for commuter line at 06.00 – 09.00 is 8,36 (poor) from Raya Margonda, and 9,37 (poor) from market area and Jl. Baru. Accessibility indeks levels for commuter line at 09.00 – 12.00 is 8,35 (poor) from Jl. Raya Margonda, 5,14 from Jl. Baru, and 5,00 from market area (very poor). Accessibility indeks levels for car public transport at 12.00 – 15.00 is 36,45 (excellent) to Jl. Raya Margonda, 36,46 (excellent) to Jl. Baru, and 84,29 (excellent) to market area. Accessibility index levels for car public transport at 15.00 – 18.00 is 27,35 (excellent) to Jl. Raya Margonda, 45,36 (excellent) to Jl. Baru, and 36,72 (excellent) to market area. Overall, accessibility index levels at Depok Baru Station is poor for commuter line and excellent for car public transport.

Customer Critique Analysis System for PT. KCI’s Twitter

Commuter Line is one of the main choices for users of public transport in Jakarta. Commuter Line in Indonesia is managed by PT. Kereta Commuter Indonesia (PT. KCI). PT. KCI has an official Twitter account @CommuterLine. The purpose of this research was built Customer Critique Analysis System for Twitter PT. Kereta Commuter Indonesia using Support Vector Machine (SVM). The software engineering method used in this research is Component-Based Software Engineering (CBSE). Applications built in this research uses some components/libraries, which are Tweetsharp, LibSVM, Metronic, Kendo UI and JQCloud. The results of this research is a useful analytics application to perform grabbing and tweet data analysis from Twitter account @CommuterLine, and a dashboard to display the results of the analysis in graphical form. The test results show that the system meets the functional and nonfunctional requirements from the user. Testing is done by installing the application on the server PT. KCI, then it was tested by user.. Non-functional testing was done by measuring application performance and usability. Performance measured is classification accuracy and running time of the program. Accuracy performance testing resulted in average sentence classification accuracy of 80.4%, and the accuracy of complaint classification type of 82.3%. The average running time is 3 minutes 25 seconds.

The sentiment analysis of Indonesia commuter line using machine learning based on twitter data

This paper presents The Sentiment Analysis of Indonesia Commuter Line (KRL) using Twitter data. Some of people are expressing their complaints about public transportation, especially the satisfaction of Commuter Line service on Twitter. We collected the data from Twitter to classify many public opinions into positive or negative label then Machine Learning model will be used as classification model to classify positive or negative opinion. Multinomial Naive Bayes (MNB), Random Forest (RF) and Support Vector Machine (SVM) is used as a model, then we measure all of model performances. And the result is Support Vector Machine produced has the highest accuracy of all with 85%. Net Sentiment Score (NSS) is also computed in order to determine whether KRL features meet customer’s satisfaction.

Kualitas Pelayanan “Vending Machine” dengan Metode Importance and Performance Analysis pada PT KAI Commuterline Jabodetabek

The exists of Vending Machine which even socialite in purpose yet, cause many difficulties to passengers of KRL Commuter Line. The purpose of this research is to get to know how the quality services of Vending Machine based on Importance and Performance Analysis (IPA) method. The research method that use to write this research is a descriptive method. The method of gathering and collecting the data for this research are using the survei method and Purposive Sampling method. The research held in Jakarta with 121 people as a sample of research. The research variable that uses in this is a qualiyy service such as Tangibility, Realibility, Responsiveness, Assurance and Empty. This questionnaire organize based on a likert scale with the scale is 1 to 5. The analysis technique which is done is data measurements, questionnaires validity tests, questionnaires reliabilities tests, IPA Analysis. The result of GAP score from those five is gain with the average of customers satisfaction levels which are negative, it means that customers are not satisfied with the Vending Machine services. So, it still necessary to open the tickets sales through a locker while keeping on socialite about how to use Vending Machine which are hope, in the future will make a Commuter Line ticket sales become easier. The main points that should be fixed in order to increase the quality services of Vending Machine are room cleanness, the shortest line of services, the fastest and goodness employe eon giving information, responsiveness when some mistakes happened.

PERLINDUNGAN HUKUM ATAS HAK KENYAMANAN KONSUMEN SEBAGAI PENGGUNA JASA TRANPORTASI KERETA API COMMUTER LINE KHUSUS WANITA

Nowadays, a convenient transportation needs are increasingly needed by the public including transportation for women’s Commuter Line train. However, in practice there was still inconvenience in using the Woman’s Exclusive commuter line train transportation. How is the legal protection of customer’s right to comfort as a user of the Women’s Exclusive commuter line Transportation service trains is a problem discussed. The research method used is a descriptive normative research method which is based on secondary data and primary data as supporting data which is analyzed qualitatively. The results of the study illustrate that PT KCI has not provide legal protection for female special line commuter train service users as stipulated in Article 3 Railway Law No. 23 of 2007 and Article 4 Paragraph (1) Customer Protection Law No. 8 of 1999 , the inconvenience caused by the Women’s Special commuter line train is always full tight and has caused one of the train passangers to faint.

VALUING PUBLIC TRANSPORTATION USING CONTINGENT VALUATION METHOD: A STUDY OF COMMUTER LINE (KRL) IN TANGERANG SELATAN, WEST JAVA INDONESIA

This study aims to find out how much the Commuter Line (KRL) users’ willingness to pay (WTP) for improving the quality of train service and identify the determinants of Commuter line (KRL) users’ WTP for improving the quality of train service. The method used in this study is the contingent valuation method (CVM). The data were collected by face to face interviews with users of the Electric Rail Train. The results of this study show that the average WTP for improving the quality of KRL services is IDR 4,500. The cleanliness, comfort, travel time, and income of KRL users affect the WTP users to improve the quality of KRL services. This study is expected to improve the quality of KRL services, especially in South Tangerang, and can be a reference for managers for public transportation services.

Assessing the operations of commuter rail: A case study in KRL commuter line of Jakarta Metropolitan Area

Public transportation is considered to be able to handle several transportation problems, such as “the ancient” traffic congestion to “the contemporary” environmental impact. Rail transit, or also known as commuter rail, is one of the most important public transportation types since it could reduce effectively the traffic congestion. At this instant, service quality of commuter rail is essential to achieve the customer satisfaction. This research aims to assess the operations of commuter rail by assessing its service quality. The importance-performance and gap analysis (IPGA) based on nine criteria was applied to accomplish the objective. A case study was conducted in KRL commuter line of Jakarta Metropolitan Area which is operated by P.T. Kereta Commuter Indonesia. The result shows that the safety criterion has the highest relative importance score and the fare has the highest relative performance score. The IPGA technique then was employed to build strategies based on the relative importance and performance from the passengers’ point of view.

Identification of cumulative prospect theory parameters for mode choice model

The use of Cumulative Prospect Theory (CPT) in decision making related to transportation risk is still much debated. Mainly because of the travel and socio-economic characteristics of the traveller it possible for different responses to the specified Reference Point (RP) as well as the loss aversion. This difference can be seen from the value of Cumulative Prospect Theory parameters. Therefore, this paper will discuss about the determination of parameters CPT which affect public transportation mode choice model in the course of work trip activity. The reference point as an essential part of this study is determined based on the average travel time of commuter worker from South Tangerang City to Jakarta. Data obtained from stated preference survey, Feeder Busway/Busway and Commuter Line Jabodetabek as mode alternative and travel time attribute as a risk factor. The Binomial Logit model which has transformed utility distribution and probability with CPT and the Least Square Method to be obtained the parameters. Finally, some conclusions can be drawn that the CPT parameters produced by this study, have closed the range of value requirements in the CPT theory. So that the parameter value can be used to model the probability of mode choice with the risk of travel time in the study area.

Analysis of Monthly Maintenance Performance (P1, P3, P6) Commuter Line Dipo Depok

Monthly Maintenance Depok Commuter Line Dipo is a place of care that forms inspection, preparation, storage, maintenance, and repair of rings counted monthly with regular maintenance, where P1 (maintenance every 1 month), P3 (maintenance every 3 months), and P6 (Treatment every 6 boasts). To support Commuter Line maintenance activities, the availability of spare parts / components, quantity and quality of human resources, work equipment, inspection equipment, location, conditions and supporting facilities are sufficient to facilitate maintenance. In conducting maintenance, Depok Commuter Line Dipo Monthly Maintenance has problems, including lack of maintenance equipment and maintenance personnel in the dipo are still lacking, both in terms of quality and quantity. To overcome this problem the method used is to identify the needs of the facility based on the MI (Maintenance Instructions) as a guide in carrying out maintenance and calculate the needs of employees both in number and quality or competence that must be owned by maintenance personnel. From the results of the analysis of the existing problems it can be concluded that the completeness of maintenance facilities in the form of work equipment is still damaged such as compressors and battery changers, lifting jacks, hydraulic jacks, and monthly manure Dipo KRL Depok still needs 24 additional maintenance personnel, and there are 19 People who have not yet participated in functional training competencies. Therefore, it is necessary to add work equipment facilities and increase human resources, as well as improve the quality and quantity of human resources to improve the performance of Depok Commuter Line Dipo Monthly Maintenance