Analysis of the Success of the Wilkerstat Reksosek BPS Application Using the ISSM Method

Muhamad Fadli; Susan Dwi Saputri; Bella Adinda Putri; M Nejatullah Sidqi

doi:10.17509/edsence.v7i2.90616

Analysis of the Success of the Wilkerstat Reksosek BPS Application Using the ISSM Method

Muhamad Fadli, Susan Dwi Saputri, Bella Adinda Putri, M Nejatullah Sidqi

Abstract

The Reksosek (Socioeconomic Registration) application developed by the Central Statistics Agency (BPS) is a strategic initiative aimed at supporting data-driven policies, particularly in ensuring more accurate targeting of social assistance distribution and development planning. This study aims to analyze the success level of the Wilkerstat Reksosek application by applying the Information System Success Model (ISSM) proposed by DeLone and McLean. The model evaluates six main dimensions: system quality, information quality, service quality, use, user satisfaction, and net benefits. Data were collected through questionnaires distributed to Reksosek application users across various institutions and regions. The analysis results indicate that information quality and service quality have a significant effect on user satisfaction, which in turn positively impacts the net benefits derived from the use of the application. This study provides recommendations for the further development and enhancement of the Reksosek application to ensure its sustainability and effectiveness in supporting the digital transformation of socioeconomic data in Indonesia.

Keywords

Reksosek; BPS; Information System Success Model (ISSM); Information System Success; Application Analysis

Full Text:

PDF

References

Dewantara, A. R., & Astuti, L. G. (2018). Analisa dan Perancangan Sistem Informasi Survei Industri Besar dan Sedang (IBS) Bulanan Badan Pusat Statistik (BPS) Provinsi Bali. Jurnal Elektronik Ilmu Komputer Udayana, 7(2), 94–106.

Enim, M., & Mesat, D. A. N. (2024). P-issn: 2798-2459 e- issn: 2798-2440.

Fadli, M. (2022). Analisis Kesuksesan Sistem Informasi Survei Menggunakan Information System Success Model (Issm). x(36), 1–10. https://digilib.uin-suka.ac.id/id/eprint/56300

Fahrudy, D., Afkarina, I., Fadli, M., Assasunnaja, R., Ahsan, W. N., Setyawan, F. E., & Siregar, M. U. (2022). Intelligent System for Classification of Student Personality With Naive Bayes Algorithm. SINTECH (Science and Information Technology) Journal, 5(1), 1–9. https://doi.org/10.31598/sintechjournal.v5i1.969

Leona Elsa Nilwanda, Aisha Ramadhana Indira Santoso, Ilham Ismail, Muhammad Ahlun Nazar, & Muhammad Fachri Ali Haidar. (2022). Analisis Kesuksesan Aplikasi Google Meet Sebagai Media Pembelajaran Daring Dengan Menerapkan Metode Delone Dan Mclean. Prosiding Seminar Nasional Teknologi Dan Sistem Informasi, 2(1), 146–153.

Sains dan Teknologi, F., Informasi, S., PGRI Silampari, U., Jl Mayor Toha, L., Kuti, A., Lubuk Linggau Tim, K. I., Lubuklinggau, K., & Selatan, S. (2024). Seleksi Penerimaan KIP Mahasiswa Menggunakan Weighted Aggregated Sum Product Assesment Rio * , Muhamad Muhamad Fadli. Journal of Information System Research (JOSH), 5(2), 554–561.

Yazdi, H. M., Setyadi, R., & Astiti, S. (2022). Pengujian Penerapan Layanan Sistem Informasi Pada Dinas Perhubungan Menerapkan Metode DeLone and McLean. JURIKOM (Jurnal Riset Komputer), 9(3), 644.

Fadli, M. (2022). Analisis Kesuksesan Sistem Informasi Survei Menggunakan Information System Success Model (Issm). x(36), 1–10.

Yazdi, H. M., Setyadi, R., & Astiti, S. (2022). Pengujian Penerapan Layanan Sistem Informasi Pada Dinas Perhubungan Menerapkan Metode DeLone and McLean. JURIKOM (Jurnal Riset Komputer), 9(3), 644.

DOI: https://doi.org/10.17509/edsence.v7i2.90616