Analisis Sistem Antrian Kereta Api di Stasiun Besar Cirebon dan Stasiun Cirebon Prujakan

Queue system is a group of customer, service, and some rules to regulate arrival customers. Queue happened if a customers which need a serve more than service capacity. Phenomenon queue will find easily in public facility. One of is train queue at Cirebon Main Train Station and Cirebon Prujakan Train Station. Queue happened from train awaiting to be ridden away and from train which would to go to station, so that makes sometimes inappropriate arrival and departure the train of schedule resulting cumulative of train passenger candidate. To analyse problems of train queue happened in station Cirebon can be applied the application of the queue theory. The steps must to do is by to create the examination where the queue happened. Based on those analysis can be known queue model and performance measure of queue system. And from data analysis can get two best kind of model for service system at Cirebon Main Train Station, that is (M/M/1):(GD/∞/∞) and (G/G/3):(GD/∞/∞). And two model service system at Cirebon Prujakan Train station, that is (M/G/2):(GD/∞/∞) and (M/G/1):(GD/∞/∞)

Model Prediksi Curah Hujan dengan Pendekatan Regresi Proses Gaussian (Studi Kasus di Kabupaten Grobogan)

Forecasting method of rainfall has developed rapidly, ranging from the deterministic approach to the stochastic one. Deterministic approach is done through an analysis based on physical laws expressed in mathematical form, which identify the relationships between rainfall and temperature, air pressure, humidity and the intensity of solar radiation. Similarly, there are some stochastic models for the prediction of rainfall that have been commonly used, for instances, the model Autoregressive Integrated Moving Average (ARIMA), Fourier analysis and Kalman filter analysis. Some researchers about climate and weather have also developed a predictive model of rainfall based on nonparametric models, especially models based on artificial neural networks. Above models are based on classical statistical approach where the estimation and inference of model parameters only pay attention to the information obtained from the sample and ignore the initial information (prior) of parameter model. In this research, prediction model with Gaussian process regression approach is used for predicting the monthly rainfall. Gaussian process regression uses a stochastic approach by assuming that the amount of rainfall is random. Based on the value of Root Mean Square Error Prediction (RMSEP), the best covariance function that can be used for prediction is Quadratic Exponential ARD (Automatic Relevance Determination) with RMSEP value 123,63. The highest prediction of the monthly rainfall is in January 2014 reached into 336,5 mm and the lowest in August 2014 with 36,94 mm

Distribusi Poisson dan Distribusi Eksponensial dalam Proses Stokastik

In the queueing system, the processes usually come from a Poisson process. In this system should be obtained an arrival distribution and a service distribution. This paper studies about the form of the number of arrival distribution, the number of service distribution, the interarrival distribution and the service time distribution. Futhermore it talks about the relation of them to a Poisson distribution and an exponential distribution

Penentuan Model Dan Pengukuran Kinerja Sistem Pelayanan PT. Bank Negara Indonesia (Persero) Tbk. Kantor Layanan Tembalang

PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services Office is a provider of service facilities engaged in the financial sector. As a service facilities provider, queue problem is a problem that occurs absolute and must be considered. The queuing situation occurs because the number of customers in a service facility that exceeds the capacity available to perform such services. At PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services Office, the queue occurs both at the Teller and Customer Service. After analysis, the best model of a queuing system at the Teller is (M/M/3):(GD:∞:∞), while the best model of queuing system in the Customer Service section is (M/M/2):(GD:∞:∞). The model can be concluded that the queue system available in PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services office is optimal

Analisis Faktor-faktor Yang Mempengaruhi Keputusan Penggunaan Transportasi Pribadi Pada Mahasiswa Menggunakan Pendekatan Partial Least Square (Studi Kasus Pada Universitas Diponegoro Semarang)

The process of structural development in developing countries is a must. Each sector that developed is related to one another. These sectors associated with the supporting factor named transport, means transport has a vital and strategic functions in the development of other sectors. Education is one of the construction sector that growing rapidly, especially in big cities, and transportation is one of the factors supporting it: since schools and universities is one of the important generator of domestic transportation network. Each university holds up to tens of thousands of new college students every year. In this point, the transport activity in big cities is becoming increasingly complex, due to the increase in the private transportation is not matched by the increase in roads, causing congestion. Factors that influence the decision of the use of private transport on the student comprehensively analyzed using structural equation based on the variance, Partial Least Square (PLS). PLS is a powerful analytical method, though it's not based on many assumptions (soft model), for example, the multivariate normal assumptions, it can use nominal scale up to ratios, as well as the sample size shouldn't be large. PLS estimates the model od relationship between latent variables and also latent variables with the indicator. Based on the analysis we concluded that the decision on the use in private transportations of Diponegoro University students affected by a combination of latent variables such time management, cost, physical, social interaction, and the intervening variable perception of 68.28%

Analisis Sistem Antrian Pelayanan Tiket Kereta Api Stasiun Tawang Semarang

Semarang Tawang Station is one of the stations visited by customers. As it is known, the train journey is faster than the bus ride. Therefore, it is necessary to analyze queueing models that describe the condition to determine the size of the system performance and to see how the service provided by Customer Service, Ticket Reservation Counters/ Schedule Change/ Refund, Cancellation of the Ticket Counters, and Self Printing Ticket (CTM). Queueing model at the Customer Service and Self Printing Ticket (CTM) is (M/M/2):(GD/∞/∞), Ticket Reservation Counters/ Schedule Change/ Refund is (M/M/4):(GD/∞/∞), and Cancellation of the Ticket Counters is (M/G/1):(GD/∞/∞)

Sistem Antrian Pada Pelayanan Customer Service PT. Bank X

Customer Service is one form of service facility at PT. Bank X which is directly related with the public as customers. It contains kind of transactions that often caused a queue. To increase public interest in the activities of banking transactions, the facility provider tries to gives satisfaction to the customers who come, so they do not have to wait too long but without make disadvantages to the existing service system. Queueing analysis have been done in order to determine how the service system of Customer Service. Based on the analysis of research data on June, 27th 2016 to July, 1st 2016, a queueing model on Customer Service PT. Bank X is (Poisson/Weibull/3):(FCFS/∞/∞) with the customer arrival rate does not exceed the service rate. In that queueing model, the number of arrivals is Poisson distribution, service time is Weibull distribution and there are three service counters. Queueing discipline that applied is customers will be served were the first comes to the bank, with the system capacity and the calling population of customers is infinite. To provide information as a reference or consideration to the PT. Bank X, then a simulation with the software called Arena has been done to determine the performance of the service system with the addition or subtraction of the number of Customer Service