AbstrakPandemi COVID-19 telah melanda hampir di seluruh dunia. Pandemi ini juga merupakan sebuah masa dimana masyarakat dituntut melaksanakan kebiasaan baru atau dikenal dengan New Normal. Kebiasaan baru ini juga mempengaruhi cara masyarakat dalam berbelanja khususnya berbelanja di marketplace. Dengan memilih marketplace yang tepat maka masyarakat atau konsumen dapat memenuhi kebutuhan seperti produk kesehatan dan rumah tangga yang paling dicari di masa pandemi. Metode Multi Objective Optimization on The Basis of Ratio Analysis atau MOORA adalah salah satu metode dari Multi Attribute Decision Making. Metode MOORA dapat digunakan untuk menentukan rekomendasi marketplace di masa pandemi COVID-19. Hasil yang diharapkan adalah diperoleh alternatif terbaik berdasarkan penilaian masyarakat dan perhitungan menggunakan metode MOORA sehingga dapat terlihat pula perilaku konsumen di masa pandemi dan menjadi masukkan bagi perusahaan marketplace di masa yang akan datang.Kata kunci - Pandemi COVID-19; Marketplace; MOORAThe COVID-19 pandemic has hit almost all over the world. This pandemic is also a period when people are required to carry out new habits, known as the New Normal. This new habit also affects the way people shop, especially shopping in the marketplace. By choosing the right marketplace, the community or consumers can meet needs such as health and household products that are most sought after during a pandemic. The Multi Objective Optimization method on The Basis of Ratio Analysis or MOORA is one of the methods of Multi Attribute Decision Making. The MOORA method can be used to determine marketplace recommendations during the COVID-19 pandemic. The expected result is that the best alternative is obtained based on community assessment and calculations using the MOORA method so that consumer behavior can also be seen during the pandemic and become input for marketplace companies in the future.

The buying and selling transaction system that many people use today is the online buying and selling system. In this system, there is a process of goods delivery by one branch of a freight forwarder in Indonesia, namely SiCepat Express Baleendah. In the process of shipping goods, a delivery route with the shortest path is needed in order to minimize of the goods delivery process. The problem of the route of goods delivery can be solved by one of the algorithms in the Traveling Salesman Problem (TSP), namely the Cheapest Insertion Heuristic (CIH) Algorithm. This study aims to determine the shortest route and distance for goods delivery using the CIH Algorithm by the Asymmetric TSP CIH application, as well as knowing its efficiency compared to the route that used by SiCepat Express Baleendah. The result shows that the use of the CIH Algorithm is proven to produce a more efficient delivery route than the route created by SiCepat Express Baleendah. Based on the goods delivery route from SiCepat Express Baleendah, the result of the total distance is 18.55 km. On the other hand, based on the CIH Algorithm, the delivery route obtained result is 13.45 km. The efficiency of using the CIH Algorithm is 27.48% better than the result from SiCepat Express Baleendah route.