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Asfan Muqtadir
Universitas PGRI Ronggolawe Tuban
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Decision Support System of Determining E-Commerce With The Topsis and Comparation With Ahp for UMKM In the Tuban Regency Area Asfan Muqtadir; Reza Agit Alfaridzi; Amaludin Arifia
Journal of Applied Science and Technology Vol 2, No 02 (2022): Juli 2022
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.2.02.9-15

Abstract

E-Commerce has had a major impact on social and economic growth in society. However, E-Commerce system is not always profitable for UMKM actors themselves, there are several factors that cause UMKM quality assessments to decline from tight competitiveness. Many consumers consider buying products from the many existing E-Commerce systems. For this reason, this goal is to implement a decision support system in determining E-Commerce using the TOPSIS method with AHP method. Of course, in implementing a decision support system, it is necessary to have assessment criteria and a number of alternatives that will be used as a reference to determine E-Commerce for UMKM by calculating the TOPSIS method which will produce the final result of the value of each E-Commerce in the form of ranking. From research conducted on 38 UMKM in Tuban Regency, the results of E-Commerce Shopee are 60.5%, Tokopedia 15.8%, Blibli 10.5%, Lazada 7.9% and Bukalapak 5.3%. The data will be grouped from each alternative to find the average value based on predetermined criteria and calculated using the TOPSIS method AHP method, it can be concluded that the E-Commerce that is widely used by UMKM in the Tuban Regency area is Shopee > Tokopedia > Bukalapak > Lazada > Blibli. while with AHP resulted in the order of Tokopedia > Shopee > Bukalapak > Blibli > Lazada.
Aplikasi Pencarian Rute Tambal Ban Terdekat Dengan Metode Dijkstra Berbasis Mapbox Yulistyadi Firman Dwi P.; Asfan Muqtadir; Andik Adi Suryanto; Siti Rachmawati
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sering terjadi kebocoran ban ditengah perjalanan dapat disebabkan banyak hal, seperti terkena benda tajam, usia ban terlalu tua, bocor di bekas tambalan atau bisa juga disebabkan oleh lainya. Untuk memudahkan pengguna kendaraan dalam mencari lokasi tambal ban, dibutuhkan aplikasi pencarian tambal ban terdekat yang mudah diakses. Salah satu untuk meningkatkan informasi pengendara tentang pencarian rute lokasi tambal ban dengan cara menyajikan sesuatu yang baru, dengan menggunakan aplikasi ini pihak-pihak yang berkepentingan dapat melihat dan mendapatkan informasi langsung tanpa harus bertanya kepada orang lain, sehingga pengguna dapat secara langsung mencari lokasi tambal ban terdekat yang diinginkan.
Co-Authors Amaludin Arifia Amaludin Arifia Andik Adi Suryanto Fitroh Amaluddin Reza Agit Alfaridzi Siti Rachmawati Yulistyadi Firman Dwi P.