Pengembangan Backend pada Research Information Management System SSMI IPB dengan Integrasi Cloud Computing

Abstract

Perguruan tinggi membutuhkan sistem informasi yang mampu mengelola data penelitian secara efektif untuk mendukung keberlanjutan dan efisiensi penelitian. Research Information Management System (RIMS) menjadi solusi utama dalam pengelolaan data penelitian secara terpusat. Namun, tantangan seperti skalabilitas dan efisiensi masih menjadi kendala dalam implementasinya, terutama pada infrastruktur konvensional. Integrasi cloud computing, seperti Google Cloud Platform (GCP), menawarkan alternatif yang lebih fleksibel, skalabel, dan aman. Namun, dokumentasi pengembangan RIMS berbasis cloud di Indonesia masih terbatas. Penelitian ini bertujuan mengembangkan backend RIMS SSMI IPB yang terintegrasi dengan GCP, dengan fokus pada efisiensi layanan sistem. Pengembangan dilakukan menggunakan model ADDIE, yang mencakup tahap analisis kebutuhan, perancangan sistem, pengembangan backend, implementasi layanan cloud, dan evaluasi fungsionalitas. Backend dibangun menggunakan modul DSpace-CRIS 7 dan berhasil di-deploy di lingkungan GCP dengan memanfaatkan layanan Compute Engine, Cloud SQL, dan Cloud Storage. Layanan utama seperti Apache Tomcat, Apache Solr, dan PostgreSQL berjalan dengan baik. Pengujian REST API terhadap fitur login, manajemen komunitas, koleksi, dan item menunjukkan seluruh request berhasil diproses dan menghasilkan response sesuai ekspektasi. Hasil ini menunjukkan bahwa sistem backend yang dikembangkan mampu berfungsi secara optimal, serta siap mendukung integrasi dengan frontend atau sistem informasi lain dalam ekosistem institusi penelitian.

Universities need information system capable of managing research data effectively to support the sustainability and efficiency of research activities. A Research Information Management System (RIMS) serves as a centralized solution for managing institutional research data. However, challenges such as scalability and system efficiency remain significant, particularly when implemented using conventional infrastructure. The integration of cloud computing services, such as Google Cloud Platform (GCP), offers a more flexible, scalable, and secure alternative. Nevertheless, documentation regarding the development of cloud-based RIMS in Indonesia remains limited. This study aims to develop the backend of the SSMI IPB RIMS integrated with GCP, with a focus on improving system efficiency. The development process follows the ADDIE model, consisting of the stages of analysis, design, development, implementation, and evaluation. The backend was developed using the DSpace-CRIS 7 module and successfully deployed in the GCP environment by utilizing services such as Compute Engine, Cloud SQL, and Cloud Storage. Core services including Apache Tomcat, Apache Solr, and PostgreSQL ran successfully. REST API testing for key features—login, community management, collection management, and item management—indicated that all requests were processed successfully and returned responses as expected. These results demonstrate that the developed backend system operates optimally and is ready to support integration with frontend systems or other research information systems within an research institutional ecosystem.