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Journal : Jurnal Ilmiah Media Sisfo

Prototype Sistem Inventarisasi Barang Milik Negara (SIBAMIRA) pada Universitas Jambi Reni Aryani; Rizqa Raaiqa Bintana; Daniel Arsa; Zainil Abidin
Jurnal Ilmiah Media Sisfo Vol 17 No 1 (2023): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2023.17.1.194

Abstract

Setiap barang milik negara (BMN) harus dicatat dan dilaporkan dengan baik dan benar sesuai dengan aturan yang berlaku. Universitas Jambi sebagai salah satu penyelenggara pendidikan tinggi dibawah Kemendikbudristek diwajibkan melakukan inventarisasi BMN setidaknya satu kali dalam lima tahun. Proses inventarisasi BMN di seluruh unit kerja di lingkungan Universitas Jambi masih dilakukan dengan cara manual sehingga tidak efektif dan tidak optimal  dalam mengelola data inventaris. Tujuan dari penelitian ini adalah mengembangkan sistem inventarisasi barang milik negara (BMN) di Universitas Jambi. Pengembangan sistem yang dilakukan menggunakan metode prototyping, yang terdiri dari tahapan analisis kebutuhan, membuat prototype, evaluasi prototype, pengkodean sistem, pengujian sistem, evaluasi sistem, dan menggunakan sistem. Penelitian ini menghasilkan prototipe Sistem Informasi Inventarisasi Barang Milik Negara yang diberi nama SIBAMIRA yang dapat digunakan untuk meningkatkan digitalisasi proses inventarisasi barang milik negara, khususnya di Universitas Jambi.
Analisis Kesuksesan Sistem Informasi SKPI Universitas Jambi Menggunakan Model DeLone and McLean Widya, Reidila Ariska; Aryani, Reni; Bintana, Rizqa Raaiqa
Jurnal Ilmiah Media Sisfo Vol 19 No 2 (2025): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2025.19.2.2456

Abstract

The University of Jambi as a higher education institution also prioritizes technological advances in its operations. In 2021, the Diploma Companion Certificate (SKPI) information system was developed, which was then officially released in 2022. This system functions to support data collection of student achievements and activities. However, until now, the SKPI information system is still in the refinement stage for the latest versions and features. This study aims to determine the success rate of the SKPI information system using the DeLone and McLean model. The approach used is quantitative, with response-based data collection and analysis techniques from students of the Faculty of Science and Technology, University of Jambi. The sampling method in this study uses the Isaac and Michael formula, with a sample of 100 respondents and an error rate of 10%. The distribution of the questionnaire was carried out online. The data obtained were analyzed using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method, which included outer model testing, inner model, and hypothesis testing. The results showed that of the 9 hypotheses tested, 5 hypotheses had a positive and significant influence on the success of the SKPI information system, while the other 4 hypotheses did not show a significant influence.