Abstract :
The culinary business sector is a very popular one; apart from being a cultural identity, the culinary sector also plays a role in the country’s economy, being the largest contributor to Indonesia’s GDP in the creative industry. The rapid development of business in the culinary sector has made business actors continue to innovate, one of which is by taking advantage of the development and use of technology. Seeing this opportunity, Grillto Indonesia innovated to open a Cloud Kitchen outlet that only relied on online food delivery (OFD). Based on his considerations, Griilto Indonesia plans to open outlets in five potential cities, namely Medan, Pekanbaru, Jakarta, Bandung, and Yogyakarta. This research focuses on determining two priority cities for the launching strategy. The method used in this study is multi-criteria decision making (MCDM) with the analytic hierarchy process (AHP) method. The criteria for this method are determined based on literature reviews and the Focus Group Discussion (FGD) method. The results of the study show that the city of Pekanbaru and the city of Medan are the two highest in order, with a value of 0.3503 and 0.2332, respectively. Thus, Grillto Indonesia will open its first outlet in the cities of Pekanbaru and Medan.
Keywords :
AHP, Cloud Kitchen, Hierarchy Process Analysis, MCDM., Online Food Delivery ServiceReferences :
- Chauliah Fatma Putri. (2012). Pemilihan Supplier Bahan Baku Kertas Dengan Model Qcdfr Dan Analytical Hierarchy Process(AHP). Jurnal Ilmiah Widya Teknika, 20(2).
- (2020). The Qualitative Analysis Of Cloud Kitchen Emerging As A Viable Food & Beverage ( F & B ) Alternative Post Covid-19. XII(0886), 463–471.
- L. Yang, S.P. Chuang, R.H. Huang, & C.C. Tai. (2009). Location Selection Based on AHP/ANP Approach. IEEE Xplore.
- Herlambang, I. E. (2021). Sistem Pengambilan Keputusan Untuk Rekomendasi Pembelian Produk Dengan Menggunakan Metode Fuzzy Mcdm (Studi Kasus PT. Nerangi Sarana Karya). 1(1), 51–61.
- Kalani Scarrott. (2020). Cloud Kitchens – Business Model of the Future?
- 2005. Memahami Penelitian Kualitatif. Bandung: CV Alfabeta.
- Sugiyono (2019). Statistika untuk Penelitian. Bandung : CV Alfabeta.
- (2021). Menparekraf: kuliner penyumbang terbesar PDB ekonomi kreatif. Kemenparekraf.Go.Id. kemenparekraf.go.id/menparekraf-kuliner-penyumbang-terbesar-pdb-ekonomi-kreatif/
- (2022). Kontribusi Industri Makanan andMinuman Tembus 37,77 %. Ministry of Industry.
- Lidya Merry, Meriastuti Ginting, & Budi Marpaung. (2014). Pemilihan Supplier Buah dengan Pendekatan Metode Analytical Hierarchy Process (AHP) andTOPSIS : Studi Kasus pada Perusahaan Retail. Jurnal Teknik Dan Ilmu Komputer. https://www.researchgate.net/publication/262840088
- Meita Fajriana. (2020, June 18). Cloud Kitchen, Solusi Pertumbuhan Usaha Kuliner Indonesia Saat New Normal. Fimela.
- N Choudhary. (2019). Strategic Analysis of Cloud Kitchen – A Case Study. Management Today. Management Today, 184–190.
- Porter, M. E. (2008). The Five Competitive Forces That Shape Strategy. www.hbr.org
- Resti R. (2020). GoFood Kembangkan Cloud Kitchen untuk Mendukung UMKM Kuliner Indonesia. https://mnews.co.id/read/fokus/gofood-kembangkan-cloud-kitchen-untuk-mendukung-umkm-kuliner-indonesia/
- Saaty, T. L., & Vargas, L. G. (2013). Decision Making with the Analytic Network Process (Vol. 195). Springer US. https://doi.org/10.1007/978-1-4614-7279-7
- Sains, J., Humaniora, S., Lestari, D., & Vikaliana, R. (2021). Analisis Faktor Internal andEksternal Perusahaan terhadap Penurunan Pengiriman Barang Kargo di PT. Lintas Maju Nusantara. Jurnal Sains Sosio Humaniora.
- Setyowati, D. (2020). Gurihnya Bisnis Cloud Kitchen di Indonesia yang Dibidik SoftBank. Katadata.Com.
- Stats, G. (2022). 10 Negara Dengan Pendapatan Tertinggi di Sektor Kuliner. Good Stats.
- Rothaermel, Frank T.. (2017). Strategic management (3rd ed. International ed.). New York: McGraw-Hill Education.
- Henderson, N. R. (2009). Managing moderator stress: Take a deep breathe. You can do this !. Marketing Research, 21 (21), 28-29.
- Indarti, Nurul.(2014). Business Location and Success: The Case of Internet Café Business in Indonesia. Gadjah Mada InternationalJournal of Business, 6(2), 171-192. https://jurnal.ugm.ac.id
- Wahyudi, Nur. (2014). Analisis Faktor-Faktor Pemilihan Lokasi Usaha terhadap Kesuksesan Usaha Jasa Mikro di Kecamatan SungaiKunjang. Jurnal Ekonomia, 3(3), 136-143. http://ejurnal.untag-smd.ac.id
- Tzeng, dkk. (2002). Multicriteria Selection for A Restaurant Location in Taipei. Hospitality Management, 21, 171–187. http://www.sciencedirect.com
- Park, Kunsoon dan Mahmood A. Khan. (2005). An Exploratory Study to Identify the Site Selection Factors for U.S. Franchise Restaurants. Journal of Foodservice Business Research, 8(1).http://www.tandfonline.com
- Ariani, Wahyu Dorothea. (2009). Manajemen Operasi Jasa. Yogyakarta: Graha Ilmu Bernhardt, Andrew and Linda Stoll. (2010). Creating Third Places: Places Where Communities Gather. Downtown Economics, University of Wisconsin-Extension, Issue 172. Diakses dari: http://fyi.uwex.edu
- Zuliarni, Sri dan Relon Taufik Hidayat. (2013). Analisis Faktor Pertimbangan Pebisnis Restoran Kelas Kecil Di Lingkungan Kampus Universitas Riau Dalam Pemilihan Lokasi Usaha. Jurnal Aplikasi Bisnis, 3(2), 100-119.http://ejournal.unri.ac.id
- Tjiptono, Fandy dan Gregorius Chandra. (2011). Service, Quality, & Satisfaction Edisi 3. Yogyakarta: Andi.
- Chen, Li-Fei dan Chih-Tsung Tsai. (2015). Data Mining Framework Based on Rough Set Theory to Improve Location Selection
- Decisions: A Case Study of A Restaurant Chain. Tourism Management, 53, 197 206.http://www.sciencedirect.com