ANALISIS KEPUASAN PENGGUNA PADA APLIKASI GO BALI GAS MENGGUNAKAN METODE PIECES FRAMEWORK
Abstract
This research aims to analyze user satisfaction with the Go Bali Gas application. The research design employed is quantitative research. The data sources include both secondary and primary data. The research sample consists of 89 users of the Go Bali Gas application, selected using the Slovin formula. The research methodology used in this study is the PIECES Framework, consisting of 6 variabels: Performance, Information and Data, Economics, Control and Security, Efficiency, and Service. Data collection began with the distribution of questionnaires to 89 users of the application. The collected data, categorized according to each variabel, was then calculated to determine the average for each variabel. The analysis results indicate that all six variabels, namely Performance, Information and Data, Economics, Control and Security, Efficiency, and Service, received very satisfactory ratings. Based on the analysis results, respondents provided suggestions for improvement in terms of payment methods, enhancement of features for tracking delivery notifications, offering free shipping, and improving overall user service.
References
[2] P. L. Lokapitasari Belluano, I. Indrawati, H. Harlinda, F. A. . Tuasamu, and D. Lantara, “Analisis Tingkat Kepuasan Pengguna Sistem Informasi Perpustakaan Menggunakan Pieces Framework,” Ilk. J. Ilm., vol. 11, no. 2, pp. 118–128, 2019, doi: 10.33096/ilkom.v11i2.398.118-128.
[3] A. E. Karlinda, P. Azizi, and M. F. Sopali, “Pengaruh pengalaman kerja, prestasi kerja, pendidikan dan pelatihan terhadap pengembangan karir pada PT. PLN (persero) kota padang rayon kuranji,” J. Inf. Syst. Applied, Manag. Account. Res., vol. 5, no. 2, pp. 523–531, 2021, doi: 10.52362/jisamar.v5i2.
[4] M. Darwi, Islamiyah, and M. L. Jundillah, “Penerapan Metode PIECES Framework Sebagai Analisis Tingkat Kepuasan Mahasiswa Dalam Penggunaan Sistem Informasi Akademik,” Adopsi Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 59–70, 2023, doi: 10.30872/atasi.v2i1.459.
[5] E. B. Pangentasan and E. Maria, “Penerapan PIECES Framework dalam Analisis Kepuasan Pengguna F-Learn UKSW saat Pandemi Covid-19,” J. Sist. Info. Bisnis, vol. 13, no. 1, pp. 60–69, 2023, doi: 10.21456/vol13iss1pp60-69.
[6] K. Khairunnisa, “Perbandingan Metode SUS dan PIECES Framework Untuk Mengevaluasi Tingkat Kepuasan Pengguna SAP pada PTPN IV,” Indones. J. Inform. Res. Softw. Eng., vol. 3, no. 1, pp. 82–93, 2023, doi: 10.57152/ijirse.v3i1.485.
[7] V. M. M. Siregar, K. Sinaga, E. Sirait, A. S. Manalu, and M. Yunus, “Classification of Customer Satisfaction Through Machine Learning : An Artificial Neural Network Approach,” IOTA, vol. 3, no. 3, pp. 273–282, 2023, doi: 10.31763/iota.v3i3.643.
[8] A. T. Purba and V. M. M. Siregar, “Sistem Penyeleksi Mahasiswa Baru Berbasis Web Menggunakan Metode Weighted Product,” TEKINKOM, vol. 3, no. 1, pp. 1–8, 2020, doi: 10.37600/tekinkom.v3i1.117.
[9] V. M. M. Siregar, H. Sugara, and G. A. Purba, “Aplikasi Pencatatan Laporan Penjualan Kita-Kita.Net Berbasis Web,” TEKINKOM, vol. 2, no. 1, pp. 80–86, 2019, doi: 10.37600/tekinkom.v2i1.81.
[10] V. M. Mulia Siregar and H. Sugara, “Implementation of artificial neural network to assesment the lecturer‘s performance,” IOP Conf. Ser. Mater. Sci. Eng., vol. 420, no. 1, p. 012112, Oct. 2018, doi: 10.1088/1757-899X/420/1/012112.
[11] V. M. M. Siregar, S. Sonang, A. T. Purba, H. Sugara, and N. F. Siagian, “Implementation of TOPSIS Algorithm for Selection of Prominent Student Class,” J. Phys. Conf. Ser., vol. 1783, no. 1, p. 012038, Feb. 2021, doi: 10.1088/1742-6596/1783/1/012038.
[12] Y. R. Sari and E. Nurmiati, “Analisis Kepuasan Pengguna Google Classroom Menggunakan PIECES Framework ( Studi Kasus : Prodi Sistem Informasi UIN Jakarta ),” J. Nas. Inform. dan Teknol., vol. 5, no. 2, pp. 1–6, 2021.
[13] Jemris Obet Beay, A.A. Istri Ita Paramitha, and Eka Grana Aristyana Dewi, “Analisis Pengalaman Pengguna Dalam Menggunakan Learning Management System Di Stmik Primakara,” Smart Techno (Smart Technol. Informatics Technopreneurship), vol. 4, no. 2, pp. 48–55, 2022, doi: 10.59356/smart-techno.v4i2.57.
[14] F. Wahyudi et al., “Penerapan Pieces Framework Untuk Analisa Tingkat Kepuasan,” J. Mnemon., vol. 6, no. 2, pp. 129–134, 2023.
[15] A. Yulianto, A. Triayudi, and E. T. E. Handayani, “Analisa Pieces Framework Pada Rancangan Aplikasi E-Commerce Minyak Beku Berbasis Web Menggunakan Metode Fast,” J. Sist. dan Teknol. Inf., vol. 10, no. 4, p. 480, 2022, doi: 10.26418/justin.v10i4.51125.
[16] C. Haryawan and S. Iswanti, “Implementasi Pieces Framework Dalam Perancangan E-Document Management System Website Pusat Jaminan Mutu,” J. Tek. Inf. dan Komput., vol. 4, no. 2, p. 137, 2021, doi: 10.37600/tekinkom.v4i2.344.
[17] N. M. B. Aditya and J. N. U. Jaya, “Penerapan Metode PIECES Framework Pada Tingkat Kepuasan Sistem Informasi Layanan Aplikasi Myindihome,” J. Sist. Komput. dan Inform., vol. 3, no. 3, p. 325, 2022, doi: 10.30865/json.v3i3.3964.
[18] K. Pratama and I. K. Nuryana, “Implementasi PIECES Framework Terhadap Kepuasan Pengguna Aplikasi Investasi Reksa Dana Bibit,” JEISBI J. Emerg. Inf. Syst. Bus. Intell., vol. 04, no. 01, pp. 82–90, 2023.
[19] N. Afrilliana, “Pengaruh Kualitas Pelayanan terhadap Kepuasan Pelanggan Grab di Kota Palembang,” J. Nas. Manaj. Pemasar. SDM, vol. 1, no. 2, pp. 46–55, 2020, doi: 10.47747/jnmpsdm.v1i2.119.
[20] A. Noor, “Analisa Pengaruh Kualitas Aplikasi Terhadap Kepuasan Pelanggan Tokopedia Menggunakan Metode PIECES Framework,” J. Inf. Syst. Res., vol. 3, no. 4, pp. 658–665, 2022, doi: 10.47065/josh.v3i4.1937.