Sistem Informasi Monitoring Integrasi Program pada Direktorat PMPUPO Badan POM

Authors

  • Alfin Fauza Universitas Ibn Khaldun Bogor
  • Safaruddin Hidayat Al Ikhsan Universitas Ibn Khaldun Bogor
  • Berlina Wulandari Universitas Ibn Khaldun Bogor

DOI:

https://doi.org/10.32493/informatika.v7i1.14589

Keywords:

Information Systems, Linear Sequential Model, Monitoring, PMPUPO Directorate

Abstract

The Directorate of Community Empowerment and Processed Food Business Actors (PMPUPO), is one of the Directorates within the Deputy for Processed Food Supervision of the Food and Drug Monitoring Agency (BPOM), has the task of implementing policies, drafting norms, standards, procedures, criteria, implementing technical guidance and supervision, as well as evaluation and reporting. The PMPUPO 2020 website has a lot of data, so the program monitoring process is less effective. That way the program data processing process is difficult to access by the leadership so that sometimes it results in discrepancies between the reports made and the existing data. Therefore, in this study, an information system for monitoring program integration at the PMPUPO Directorate was created to make it easier for leaders to access or obtain strategic data. The data used in this study were obtained from the Directorate of PMPUPO. The research method used includes three main parts, namely data collection, system analysis and development of a linear sequential model system. Based on the results of system testing that has been carried out, this system has functioned well, which is indicated by the availability of the speed of information obtained in the form of distribution maps, graphs, and reports so that it can make it easier for leaders to access or obtain information.

References

BPOM. (2017). Subsite Direktorat PMPUPO.

Debiyanti, D., Sutrisna, S., Budrio, B., Kamal, A. K., & Yulianti, Y. (2020). Pengujian Black Box pada Perangkat Lunak Sistem Penilaian Mahasiswa Menggunakan Teknik Boundary Value Analysis. Jurnal Informatika Universitas Pamulang, 5(2), 162-166. doi:10.32493/informatika.v5i2.5446

R.S. Pressman. (2001). Software Enginnering A Practitioner’s Approach 5th Edition.

Rahmawati, F. A., Tolle, H., & Rokhmawati, R. I. (2019). Pengembangan Sistem Informasi Monitoring Dan Evaluasi Hasil Kegiatan Pengawas Berbasis Web (Studi Kasus: Dinas Pendidikan Kota Malang). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(3), 2452–2458.

Shaleh, I. A., Prayogi, J., Pirdaus, P., Syawal, R., & Saifudin, A. (2021). Pengujian Black Box pada Sistem Informasi Penjualan Buku Berbasis Web dengan Teknik Equivalent Partitions. Jurnal Teknologi Sistem Informasi dan Aplikasi, 4(1), 38-45. doi:10.32493/jtsi.v4i1.8960

Sinulingga, A. R., Zuhri, M., Mukti, R. B., Syifa, Z., & Saifudin, A. (2020). Pengujian Black Box pada Sistem Aplikasi Informasi Data Kinerja Menggunakan Teknik Equivalence Partitions. Jurnal Teknologi Sistem Informasi dan Aplikasi, 3(1), 9-14. doi:10.32493/jtsi.v3i1.4303

Suganda, R. P., Sulistiowati, & Maulana, Y. M. (2016). Rancang Bangun Sistem Informas Monitoring dan Evaluasi Pelaksanaan Program Tuberkulosis berbasis Web. Jurnal Sistem Informasi dan Komputer Akuntansi, 5(1), 1–7.

Sutinah, E., Azima, G. N., & Imaduddin, E. F. (2018). Sistem Informasi Monitoring Akademik Dan Prestasi Siswa Dengan Metode Waterfall. In Journal of Information Engineering and Educational Technology (Vol. 2, Nomor 1, hal. 47). https://doi.org/10.26740/jieet.v2n1.p47-59

Trengginaz, R. B., Yusup, A., Sunyoto, D. S., Jihad, M. R., & Yulianti, Y. (2020). Pengujian Aplikasi Pemesanan Tiket Kereta berbasis Website Menggunakan Metode Black Box dengan Teknik Equivalence Partitioning. Jurnal Teknologi Sistem Informasi dan Aplikasi, 3(3), 144-149. doi:10.32493/jtsi.v3i3.5349

Yulistina, S. R., Nurmala, T., Supriawan, R. M., Juni, S. H., & Saifudin, A. (2020). Penerapan Teknik Boundary Value Analysis untuk Pengujian Aplikasi Penjualan Menggunakan Metode Black Box Testing. Jurnal Informatika Universitas Pamulang, 5(2), 129-135. doi:10.32493/informatika.v5i2.5366

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Published

2022-05-31