Analisis Kepuasan Pengguna Terhadap Layanan Gofood Menggunakan Metode End User Computing Satisfaction
Abstract
Gofood is an online food delivery service provided by Gojek application, which was the greatest online food delivery service in Indonesia in 2019, but it has fallen to the second position behind Grabfood in the last three years with a diminishing market share. The goal of this study was to perceive Gofood user satisfaction through the EUCS method, which would assess the impact of content, accuracy, format, ease of use and timeliness variables on the satisfaction variable. This study included 370 students from Sriwijaya University’s Computer Science Faculty. According to the results, the t-value of content, format, ease of use and timeliness variables is greater than 1,967 and the significance value < 0,05 explaining that these four variables have a significant effect on the satisfaction variable, so the conclusion is the users are satisfied by these four variables in Gofood services. Meanwhile, the t-value of the accuracy variable is 1,492 < 1,967 and the significance value is 0,137> 0,05, indicating that it has no significant effect on the satisfaction variable and should be improved or optimized.
Downloads
References
Afrianto, Adrian P. "Eksplorasi Kondisi Masyarakat Dalam Memilih Belanja Online Melalui Shopee Selama Masa Pandemi Covid-19 Di Indonesia." JTeksis,vol.3,no.1, 2021,pp.10-29, https://doi.org/10.47233/jteksis.v3i1.181.
Agustina, Rahayu, and Leon A.Abdillah. "Analisis Kepuasan Pengguna Aplikasi Bintang Cash&Credit Menggunakan Metode EUCS." Bina Darma Conference on Computer Science, 2022, pp.692-701, https://doi.org/10.48550/arXiv.2207.00642.
Ariska, Iin, and Rahayu Amelia. "Analisis Tingkat Kepuasan Pengguna Marketplace Shopee dan Lazada Menggunakan Metode EUCS." Bina Darma Conference on Computer Science, vol.3, no.2, 2020, pp.321-327.
Bae, Mikyeung. "Understanding the Effect Of Discrepancy Between Sought and Obtained Gratification on Social Networking Site Users Satisfaction And Continuance Intention." Computers in Human Behavior,vol.79,2018, pp.137-153,https://doi.org/10.1016/j.chb.2017.10.026.
Cheung, Stephen. “Food Delivery Platforms GMV in Southeast Asia Grew to US$16.3 Billion." TheLowDown Momentum Asia, 17 Jan. 2023.
Darma, Budi. Statistika Penelitian Menggunakan SPSS. Guepedia, 2021. pp.3-23.
Deng, Jianwei, et al. "Behavioural and Economic Impacts of EUCS: Innovative Work Behaviour and Job Performance of Employees." Computers in Human Behavior,vol.136,2022,pp.1-10, https://doi.org/10.1016/j.chb.2022.107367.
Evitria, Dina, et al. "Analisis Kepuasan Pengguna Terhadap Penerapan Layanan Gofood Menggunakan Metode PIECES Framework." JURIKOM, vol. 9,no.3,2022,pp.522-527,https://doi.org/http://dx.doi.org/10.30865/jurikom.v9i3.4100.
Ferreira, Mariana S., et al. "Improving Real Estate CRM User Experience and Satisfaction: User-Centered Design Approach." JOItmC, vol.9,no.2,2023,pp.1-10, https://doi.org/10.1016/j.joitmc.2023.100076.
Hastuti, Rahajeng K. "GoFood Kuasai 75% Pangsa Pasar Indonesia." CNBC Indonesia, 23 Sept. 2019.
Kurniasih, Indah, and Desi Pibriana. "Pengaruh Kepuasan Pengguna Aplikasi Belanja Online Mobile Menggunakan Metode EUCS." JATISI,vol.8,no.1,2021,pp.181-198, https://doi.org/10.35957/jatisi.v8i1.787.
Megawaty, and Luh Ariningsih. "Pengukuran Kepuasan Pengguna GRAB Di Palembang Menggunakan Metode EUCS." BITe, vol.4,no.2,2022,pp.193-204, https://doi.org/10.30812/bite.v4i2.2383.
Nan, Dongyan, et al. "Will Coolness Factors Predict User Satisfaction and Loyalty? Evidence from an Artificial Neural Network–Structural Equation Model Approach." Information Processing and Management,vol.59,no.6, 2022,pp.1-13, https://doi.org/10.1016/j.ipm.2022.103108.
Pibriana, Desi, and Lena Fitriyani. "Penggunaan Model EUCS Untuk Menganalisis Kepuasan Pengguna E-learning Di MTsN2 Palembang." JTSI,vol.3,no.1,2022,pp.69-80, https://doi.org/10.35957/jtsi.v3i1.2182.
Purba, Desinta, and Mardaus Purba. "Aplikasi Analisis Korelasi dan Regresi Menggunakan Pearson Product Moment dan Simple Linear Regression." CISAT,vol.1, no.2,2022,pp.97-103, https://doi.org/10.2421/cisat.v1i2.54.
Putra, Rezki D., and Dedy R.Prehanto. "Analisis Kepuasan Pengguna Aplikasi Flip.id Menggunakan Metode TAM dan EUCS." JEISBI,vol.2, no.4, 2021, pp.19-26.
Putri, Adilla S., et al. "Rancang Bangun Aplikasi E-Commerce Berbasis Android Pada Toko Suryamart Menggunakan Framework Flutter." JTeksis,vol.5,no.3, 2023,pp.257-265,https://doi.org/10.47233/jteksis.v5i3.851.
Putri, Arni S., et al. "Analisis Kepuasan Pelayanan Gofood Menggunakan PIECES Framework Pada Mahasiswa/i STMIKBI." Jurnal Riset Komputer,vol.9,no.3,2022, pp.556-563, https://doi.org/http://dx.doi.org/10.30865/jurikom.v9i3.4109.
Rahmadhanu, Angung, et al. "Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens Menggunakan Metode Vader." JTeksis,vol.5,no.3,2023, pp.337-343,https://doi.org/10.47233/jteksis.v5i3.866.
Ramadhayanti, Fradea N., et al. "Analisis Kepuasan Pengguna Aplikasi TIX ID Di Jambi Menggunakan Metode EUCS." Jurnal Ilmiah Media Sisfo,vol.17,no.1, 2023,pp.143-151, https://doi.org/10.33998/mediasisfo.2023.17.1.792.
Saputra, Arif, and Denny Kurniadi. "Analisis Kepuasan Pengguna Sistem Informasi E-Campus Di IAIN Bukittinggi Menggunakan Metode EUCS." Voteteknika,vol.7,no.3, 2019,pp.58-66, https://doi.org/10.24036/voteteknika.v7i3.105157.
Sari, Nur W. Pengukuran Kepuasan Pengguna Sistem Menggunakan Model EUCS yang Diperluas. 2018. Universitas Islam Negeri Syarif Hidayatullah, Skripsi.
Setiawan, Hendrik, and Dien Novita. "Analisis Kepuasan Pengguna Aplikasi KAI Access Menggunakan Metode EUCS." JTSI, vol.2,no.2,2021,pp.162-175.
Setyoningrum, Nanny R. "Analisis Tingkat Kepuasan Pengguna Sistem Informasi Kerja Praktek Dan Skripsi Menggunakan Metode EUCS." JAIC,vol.4,no.1,2020, pp.17-21,https://doi.org/10.30871/jaic.v4i1.1645.
Valliappan, Aishwarya. "Southeast Asia Online Food Delivery Spend Grows 30% to Hit New Peak in 2021." TheLowDown Momentum Asia, 27 Jan. 2022.
Voon, Vanessa. "Food Delivery in South East Asia Almost Tripled in 2020, Accelerated by COVID-19." TheLowDown Momentum Asia, 12 Jan.2021.
Yuan, Shunbo, et al. "Determining the Antecedents of Mobile Payment Loyalty: Cognitive and Affective Perspectives." Electronic Commerce Research and Applications,vol.41,2020,pp.1-9, https://doi.org/10.1016/j.elerap.2020.100971.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution 4.0 International (CC BY 4.0) that allows others to share — copy and redistribute the material in any medium or format and adapt — remix, transform, and build upon the material for any purpose, even commercially with an acknowledgment of the work's authorship and initial publication in this journal.