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Rancang Bangun Sistem Self-Order Berbasis Android untuk CRM Operasional UMKM Kuliner Sabila Rosad; Herbert Siregar; Asep Wahyudin
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.767

Abstract

Culinary Micro, Small, and Medium Enterprises (MSMEs) still face challenges in the ordering process, such as manual order recording, long queues, and limited management of order data. These conditions highlight the need for digital transformation to improve operational efficiency and service quality. This study aims to design and develop an Android-based self-order system for culinary MSMEs as a form of ordering process digitalization and as an implementation of operational Customer Relationship Management (CRM). The research method applied is system development, including literature study, requirement analysis, system design, implementation, and testing. The system adopts a client–server architecture, with an Android application as the client and a FastAPI-based backend integrated with a PostgreSQL database. The application allows customers to view menus, add items to a cart, enter customer identity, and place orders independently without user authentication. System testing is conducted using black-box testing to validate functional requirements. The results indicate that the developed self-order system operates properly in supporting digital ordering processes, improving operational efficiency, and facilitating the implementation of operational CRM through structured order data management. This system is expected to serve as a practical solution for culinary MSMEs in managing digital ordering and customer interactions.
Tren, Tantangan, dan Arah Pengembangan Penelitian Cloud Security Perspektif Bibliometrik Sabila Rosad; Herbert Siregar; Jajang Kusnendar
Jurnal Nasional Teknologi dan Sistem Informasi Vol 12 No 2 (2026): Agustus 2026
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v12i2.2026.251-265

Abstract

The accessibility, flexibility, and scalability offered by cloud computing have driven the increasing adoption of cloud technology across various sectors, including business, healthcare, education, and industry. However, despite these advantages, cloud environments remain vulnerable to security threats such as data breaches, cyberattacks, unauthorized access, and service disruptions. These challenges have contributed to the rapid growth of research related to cloud security in recent years. This study aims to analyze research trends, themes, and research gaps in the field of cloud security using a Systematic Literature Review (SLR) and bibliometric analysis approach. A total of 76 open-access articles indexed in Scopus from the 2022–2025 period were analyzed using the Biblioshiny tool. The results indicate that research themes are dominated by approaches related to intrusion detection, network security, and the application of machine learning and deep learning for security threat detection. In addition, cryptographic techniques remain an important approach for data protection in cloud environments. The thematic map analysis reveals that topics such as intrusion detection and network security belong to the motor themes category, while themes such as blockchain-based security and application-specific security are still relatively limited. This study also identifies that most existing research still focuses on isolated security approaches, highlighting the need for integrated security technologies and the development of more adaptive and proactive security systems as future research opportunities.