Abstrak. Kemacetan jalan raya merupakan permasalahan umum di setiap kota yang memerlukan penanganan serius. Pemecahan permasalahan kemacetan jalan raya tidak hanya dapat diselesaikan dengan hanya meningkatkan kualitas dan kuantitas infrastruktur, namun juga manajemen lalu lintas. Pada artikel diusulkan suatu metode untuk mengurangi kemacetan lalu lintas, yaitu dengan menyeimbangkan beban ke berbagai ruas jalan yang disebut dengan load balancing. Melalui metode ini diharapkan beban lalu lintas terbagi secara merata ke berbagai jalur alternatif sedemikian sehingga antrian panjang kendaraan dapat dihindari. Evaluasi efektifitas dari metode load balancing ini dilakukan melalui simulasi dengan mengimplementasikan salah satu bidang ilmu Matematika, yaitu teori Antrian. Simulasi dibuat dengan menggunakan toolbox SimEvents yang dijalankan pada software MATLAB.Kata Kunci: load balancing, kemacetan, lalu lintas, sim-events, matlabAbstract. (the effectiveness of load balancing in reducing the road traffic congestion) Road congestion is a common problem in any city that needs serious handling. The solution of the road congestion problems can not only be solved by simply improving the quality and quantity of infrastructure, but also the traffic management. In this article, we proposed a method to reduce the traffic congestion by balancing the vehicle loads to a various road segments, called as load balancing. Through this method, it is expected that the traffic load is evenly distributed to various alternative routes, such that, long queues and traffic jam can be avoided. Evaluation of the load balancing’s effectiveness is performed through a simulation by implementing the Queueing Theory. Simulations are created using the SimEvents toolbox that runs on MATLAB software.Keywords: load balancing, road congestion, traffic, simevents, matlab.

No abstract

No abstract

The objective of this article is to design a solution to coffee supply chain improvement by warehouse distribution center determination of exported coffee in West Java. Determining the distribution warehouse center requires three stages: determining clusters, determining warehouse’s location of each cluster, and determining warehouse’ center; sequentially, each of them has 6, 14, and 5 steps. Several methods used in conducting those stages are Clustering Method (or well-known as Agglomerative Clustering for determining clusters), Model Optimization (P-Median Method) for determining warehouse location in each cluster, and Location Theory for determining the export warehouse center. The first stage results in classifying West Java into 4 clusters. Cluster I consists of 3 Districts and 1 City. Cluster II consists of 4 Districts. Cluster III consists of 4 Districts. Cluster IV consists of 3 Districts and 3 Cities. Furthermore, in determining warehouse’s location of each cluster, central of warehouse distribution at cluster I is located in Bogor District, Cluster II is located in West Bandung District, Cluster III is located in Kuningan District, and Cluster IV is located in Tasikmalaya District. At the final stage of determining warehouse center, Cirebon is selected to be the center of coffee export warehouse in West Java. This study could abridge inefficient coffee supply chain in order to increase the selling price of coffee among farmers, which could increase their profit and prosperity.

No abstract