OPTIMIZATION OF THE WASTE TRANSPORTATION SYSTEM IN SURABAYA BASED ON MULTICRITERIA FUZZY Johan Pamungkas(a), Catur Wahyu Wijaya (b), Achmad Rafiud Darajat(c), Ali Murtopo (d)
(a) Departement of Electrical Engineering Universitas Tidar Jalan Kapten Suparman No. 39 Potrobangsan, Magelang 56116 (b) MPM, Jalan Simpang Dukuh 42-44 Surabaya 60275 (c)(d) Departement of Civil Engineering Universitas Tidar Jalan Kapten Suparman No. 39 Potrobangsan, Magelang 56116
As the second-largest city after Jakarta, Surabaya City has the same problems as big cities in Indonesia. One thing that remains a significant concern is the issue of cleanliness, environmental governance, and urban waste management as one of the pilot cities in the development of Smart City-based cities. The city of Surabaya has developed various ways and technology implementation in waste management in urban areas to a lesser extent in the community environment. The current garbage transportation system in the city of Surabaya has not yet reached the optimal level, so we need a method that can make this garbage transport transportation system more optimal so that operational costs will minimize for development in other sectors. In this paper, we present one way to optimize the problem of transportation of garbage transport through fuzzy multi-criteria to optimize the transportation of waste in the city of Surabaya. The results of the study in this paper are the allocation of waste from each LPS to a certain LPA, taking into account the minimum distance and time taken. The problem with optimizing waste transportation is generally that it only pays attention to two objects. This research focuses on how to optimizing the waste transportation system, which is two objects of research optimization of the existing transportation system, and the transportation distance of the garbage transportation system to a minimum to reduce transportation costs and the time needed in the transportation system. By using the Fuzzy Multi-Criteria to perfect conventional linear programming, it is often complicated calculation because the limitations of linear programming cannot be satisfactory if they consist of two or more objectives. Based on this, transportation system problems The analysis obtained can provide an overview of waste allocation in each LPS to LPA with the provisions taking into account the objectives were achieved.