Integration of TAM and DeLone and McLean Models to Evaluate the Quality of NAMPAH Applications
Abstract
Waste banks are an important solution in environmental management, one of which is the NAMPAH application. NAMPAH is an Android-based digitalization innovation. Along with its implementation, several problems were discovered in terms of application use, especially related to the use of application systems and services. Based on this, researchers focus on system evaluation of system success. This research uses the Technology Acceptance Model (TAM) and the DeLone and McLean IS Success Model which aims to evaluate the system regarding system use. Data processing in this research used the Smart PLS 4 tool. From the research results it was found that several variables were determining factors in user satisfaction, including perceived ease of use, perceived usefulness, information quality and system quality. However, system quality is not significant to perceived usefulness. Meanwhile, service quality has an average value below the testing standards so it is not significant to user satisfaction and perceived ease of use.
Downloads
References
A. F. Habibah, Irwansyah, “Era Masyarakat Informasi sebagai Dampak Media Baru,” vol. 3, no. 2, pp. 350–363, 2021.
K. Aditya, A. Meiriza, N. Rizky, P. Putra, and P. Eka, “Penerapan Metode Technology Acceptance Model Untuk Mengetahui Tingkat Penerimaan Pengguna Aplikasi Vidio,” vol. 6, no. 2, pp. 266–274, 2024.
V. Cassandra and D. Yurisca, “Analisis Persepsi Pengguna Bank digital Dengan Model TAM dan,” vol. 6, no. 1, pp. 151–161, 2024.
R. J. Gusrio Tendra, Jean Riko Kurniawan Putra, “Implementasi Algoritma K-Means Clustering pada Aplikasi Mobile Bangking Bank Sampah Kelurahan Tuah Madani Kota Pekanbaru,” J. Komput. dan Inform., vol. 9, no. 2, pp. 235–244, 2021, doi: 10.35508/jicon.v9i2.5142.
R. I. Silfiah, A. Mohtarom, and K. M. Ulum, “Digitalisasi bank sampah dengan penerapan sistem aplikasi resik di desa karangsono kecamatan sukorejo kabupaten Pasuruan,” J. Apl. Dan Inov. Ipteks SOLIDITAS, vol. 4, no. 2, pp. 143–154, 2021, doi: 10.31328/js.v4i2.2674.
E. R. Pamungkas et al., “Aplikasi bank sampah berbasis web di desa teja,” Proceeding SENDIU, pp. 978–979, 2020.
S. Wahyuni and M. B. Yel, “Aplikasi Bank Sampah Berbasis Website Dalam Mewujudkan Desa Bebas Sampah,” Pros. Semin. Nas. Ris. Dan Inf. Sci., vol. 4, pp. 242–250, 2022.
B. Ismanto and N. Amalia, “Analisis Pemanfaatan Aplikasi E-Rongsok Berbasis Android menggunakan Fitur Lokasi Terdekat dan Notifikasi Realtime dalam Proses Jual Beli Rongsokan,” J. Inf. Syst. Res., vol. 5, no. 2, pp. 338–347, 2024, doi: 10.47065/josh.v5i2.4502.
E. F. Maghfiroh et al., “Pengembangan Aplikasi E-Pulung Berbasis Android untuk Mendigitalisasi Bank sampah Kuncup Mekar Kelurahan Wates Kota Magelang,” CSPE J. Community Serv. Public Educ., vol. 2, pp. 70–83, 2022.
P. C. Rahayu, V. S. U. Simatupang, and A. Christiani, “Development of a Web-Based Information System for Waste Banks in South Tangerang,” FaST-Jurnal sains dan Teknol., vol. 7, no. 1, 2023.
A. Sansprayada, Kartika Mariskhana, “Implementasi Aplikasi Bank Sampah Berbasis Android Studi Kasus Perumahan Vila Dago Tangerang Selatan,” J. Inov. Inform. Univ. Pradita, vol. v, no. 1, pp. 24–34, 2020.
S. Yanti and H. Nugroho, “Analisis Faktor-faktor Penerimaan dan Niat Keberlanjutan Penggunaan Portal Akademik Siakad STMIK AKAKOM Menggunakan TAM serta Model Delone dan Mclean,” J. Inform. dan Komput., vol. 3, no. 1, pp. 37–45, 2018.
Budisunata, “Penerimaan Masyarakat Terhadap Sistem Bank sampah Dalam Perspektif Teori Technology Acceptence Model (TAM) di Desa Pangkungkarung Kecamatan Kerambitan, Kabupaten Tabanan,” 2023.
A. Budi, A. Fajri, A. D. Herlambang, and S. H. Wijoyo, “Evaluasi Kualitas dan Kesuksesan Sistem Informasi Batu Among Tani Teknologi ( BATT ) dengan Menggunakan Pendekatan Technology,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 2, pp. 1540–1549, 2019.
S. Langsung, “Sains Langsung Evaluasi oleh pengguna sistem informasi industri ( XPPS ) berdasarkan model DeLone dan McLean untuk keberhasilan IS Hanae Rokya *, Youssef Al Meriouhb,” vol. 212, no. 0, 2015, doi: 10.1016/S2212-5671(15)00903-X.
W. Choi, M. J. Rho, J. Park, K. J. Kim, Y. D. Kwon, and I. Y. Choi, “Information system success model for customer relationship management system in health promotion centers,” Healthc. Inform. Res., vol. 19, no. 2, pp. 110–120, 2013, doi: 10.4258/hir.2013.19.2.110.
N. A. Hidayah, K. F. Musa, Z. Nihayah, R. N. Putri, and A. Muin, “Analysis Using the Technology Acceptance Model ( TAM ) and DeLone & McLean Information System ( D & M IS ) Success Model of AIS Mobile User Acceptance,” 2020.
R. S. Pamungkas, “Pengukuran keberhasilan sistem informasi pada aplikasi PEDULILINDUNGI di kota Bekasi menggunakan DeLone and McLean IS Succes Model dan Technology Acceptance Model,” 2022.
H. Djaali, “Metodologi Penelitian Kuantitatif,” 2021.
F. D. Davis, “Perevied Usefulness, Percevied Ease of Use, and User Acceptence of Information Technology,” Manag. Inf. Syst. Res. Cent., vol. 13, no. 3, pp. 319–340, 2013.
V. Venkatesh and F. D. Davis, “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,” Manag. Sci., vol. 46, no. 2, pp. 186–204, 2000, doi: 10.1287/mnsc.46.2.186.11926.
W. H. D. A. E. R. MCLEAN, “The DeLone and McLean Model of Information Systems Success : A Ten-Year Update,” J. Manag. Inf. Syst., vol. 19, no. 4, pp. 9–30, 2003.
W. Budiaji, “Skala Pengukuran Skala Likert (The Measurement Scale in Likert Scale),” J. Ilmu Pertan. dan Perikan., vol. 2, no. 2, pp. 127–133, 2013.
S. Sugiyono, “Metode penelitian kuantitatif, kualitatif, R&D,” Bandung Alf., pp. 1–11, 2016.
I. S. Chaudhry, R. Paquibut, A. Islam, and H. Chabchoub, “Testing the success of real ‑ time online delivery channel adopted by higher education institutions in the United Arab Emirates during the Covid ‑ 19 pandemic,” Int. J. Educ. Technol. High. Educ., 2021, doi: 10.1186/s41239-021-00283-w.
P. S. S. Donald R. Cooper, Business research methods. 2014.
V. G. K. Joe F. Hair Jr, Marko Sarstedt, Lucas Hopkins, “Partial least squares structural equation modeling ( PLS-SEM ) An emerging tool in business research,” Eur. Bus. Rev., pp. 106–121, 2016, doi: https://doi.org/10.1108/EBR-10-2013-0128.
I. Ghozali and H. Latan, “Partial least squares konsep, teknik dan aplikasi menggunakan program smartpls 3.0 untuk penelitian empiris,” Semarang: Badan Penerbit UNDIP, vol. 4, no. 1, 2015.
J. F. Hair, M. Sarstedt, C. M. Ringle, and J. A. Mena, “An assessment of the use of partial least squares structural equation modeling in marketing research,” J. Acad. Mark. Sci., vol. 40, pp. 414–433, 2012.
W. Mohamad, A. Bin, and W. Afthanorhan, “A Comparison Of Partial Least Square Structural Equation Modeling ( PLS-SEM ) and Covariance Based Structural Equation Modeling ( CB-SEM ) for Confirmatory Factor Analysis,” Int. J. Eng. Sci. Innov. Technol., vol. 2, no. 5, 2014.
I. Ghozali, “Structural Equation Modeling, Metode Alternatif dengan Partial Least Square (PLS)(Edisi 4).,” Univ. Diponegoro. Semarang. Semarang Badan Penerbit Univ. Diponegoro, 2014.
M. S. Duryadi and M. Si, “Metode Penelitian Empiris Model Path Analysis dan Analisis Menggunakan SmartPLS.” Yayasan Prima Agus, 2021.
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.
