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Aplikasi Pengambilan Keputusan Menggunakan Metode Additive Ratio Assessment (ARAS) Dalam Menentukan Kepuasan Pelanggan Ojek Online Dwi Syaputra; Adidtya Perdana; Rizko Liza
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 2 (2021): November 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i2.11592

Abstract

Online ojek is a transformation from a base ojek that uses a motorbike as a means of transportation. Online motorcycle taxis are the latest public transportation trend in society. This can be a transportation solution in Indonesia, especially in big cities that experience congestion. But unfortunately now there are still online motorcycle taxi drivers who do not care about the quality of service they provide to customers. Therefore, a system is needed that can determine the level of customer satisfaction with online motorcycle taxi services based on predetermined criteria. This study uses the Decision Support System concept using the ARAS method. ARAS method is a method based on the intuitive principle that the alternative must have the largest ratio to produce the optimal solution. The Additive Ratio Assessment (ARAS) method performs a ranking by comparing the value of each criterion on each alternative by looking at the weight of each to get the ideal alternative. There are ten alternatives in the study, namely, Driver A, Driver B, Driver C, Driver D, Driver E, Driver F, Driver G, Driver H, Driver I, Driver J.Keywords: Decision Support System, Customer Satisfaction, Online Ojek Driver, ARAS Method
Inovasi dan Kreativitas Sebagai Kunci Keberhasilan Wirausaha di Era Ekonomi Digital Dwi Syaputra; Ahmad Afandi
Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Vol. 2 No. 4 (2025): Oktober: Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksinyata.v2i4.2314

Abstract

Community Service (KKN) is one method to implement the Tri Dharma of Higher Education through community service activities. The Independent KKN Project from the University of Muhammadiyah North Sumatra in 2025 was implemented in Dolok Kahean Village, Tapian Dolok District, Simalungun Regency, with the theme "Innovation and Creativity as Keys to Entrepreneurial Success in the Digital Economy Era. " The purpose of this study is to improve the ability of Micro, Small, and Medium Enterprises (MSMEs) actors in maximizing product marketing using digital marketing, with an emphasis on the use of photo and video content for business branding. The implementation methods of this activity include observation, interviews, socialization, and training in photography practices, editing, and digital content strategies. The results of this activity show an increase in knowledge and skills of MSME actors in creating promotional content, building brand identities (such as logos and product packaging), and utilizing social media as a marketing tool. In addition, social activities such as mutual cooperation, economic education in schools, and the creation of educational signs about waste also contribute to increasing social awareness in the community. The success of this activity was facilitated by community cooperation and support from village officials, while the main challenges were geographical conditions and limited transportation. Overall, this KKN activity had a positive impact on the development of local MSMEs, increased digital literacy, and strengthened the relationship between students and the village community, demonstrating the role of higher education institutions in community empowerment.