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Siti Maesaroh
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Journal Collabits
Published by Universitas Mercu Buana
ISSN : 30628601     EISSN : 30466709     DOI : http://dx.doi.org/10.22441/collabits
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Journal Collabits adalah jurnal yang membahas strategi keamanan cyber untuk meningkatkan kinerja dan keandalan dalam implementasi teknologi kecerdasan buatan (AI), kecerdasan bisnis (BI), dan sains data, yang di kelola oleh Fakultas Ilmu Komputer (FASILKOM) terdiri dari dua prodi yaitu Teknik Informatika (TI dan Prodi Sistem Informasi (SI). Dengan pertumbuhan pesat dalam penggunaan teknologi ini, keamanan cyber menjadi semakin penting dalam menjaga integritas, kerahasiaan, dan ketersediaan data. Tulisan ini mengeksplorasi berbagai pendekatan, alat, dan praktik terbaik dalam mengamankan sistem AI, BI, dan sains data, termasuk deteksi ancaman, enkripsi data, manajemen akses, dan pemulihan bencana. Jurnal ini juga menganalisis dampak kebijakan keamanan cyber pada inovasi teknologi dan memberikan rekomendasi untuk meningkatkan keamanan dalam ekosistem digital yang terus berkembang
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 102 Documents
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Improving the Quality of Decision Making in Educational Institutions with Business Intelligence Diar Eka Purnama; Abdul Hamid Arribathi; Nur Azizah; Henderi Henderi
Journal Collabits Vol. 3 No. 2 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i2.39388

Abstract

Effective decision-making in educational institutions relies heavily on the availability of accurate, timely, and easy-to-interpret data. However, many schools and colleges still face challenges in managing data spread across various systems, so decisions are often made based on assumptions or partial information. This study aims to analyze the use of Business Intelligence (BI) to improve the quality of decision-making in educational institutions. In this study, a qualitative approach is used with case studies in three educational institutions that have implemented the BI system. The procedure in this study is by: collecting data through interviews with institutional leaders, observation of the use of analytical dashboards, and analysis of policy documents. The results show that BI enables real-time data visualization related to academic performance, resource allocation, and stakeholder satisfaction, thereby accelerating and strengthening strategic and operational decision-making processes. In addition, BI encourages a data-driven culture that increases transparency and accountability. However, the success of BI's implementation is greatly influenced by the readiness of digital infrastructure, human resource competence, and the commitment of top management. This study concludes that BI is an effective strategic tool for education governance transformation, as long as it is holistically integrated into the institutional management system. These findings provide practical recommendations for education leaders seeking to improve the quality of decisions through the use of analytics technology.
Web-Based Multi-Cafe Information System in the West Jakarta Area Luthfia Fauzia Dewi Ariyanti; Janu Ilham Saputro; Eduard Hotman Purba; Muhammad Nur Habibie
Journal Collabits Vol. 3 No. 2 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i2.39597

Abstract

Evolving urban lifestyles have driven increased public interest—particularly in West Jakarta—in visiting cafes for relaxation, work, and socializing. However, information regarding cafe locations, menus, prices, facilities, and operating hours remains fragmented and difficult to access centrally, making it challenging for potential customers to make informed choices. This research aims to design and develop a web-based information system that integrates data from various cafes in West Jakarta into a single, unified platform. The system development follows the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance. The system was built using web-based programming languages and a relational database to store cafe information, incorporating features such as search functionality, location- and category-based filtering, and user reviews. System testing utilized the Black Box Testing method to ensure all functions operated according to requirements, alongside usability testing to assess the system's ease of use for end-users. The results indicate that this multi-cafe information system enables users to quickly and accurately search for and compare cafe information while simultaneously assisting cafe owners in digitally promoting their businesses. This system is expected to serve as a beneficial, unified information solution for both the public and cafe business owners in West Jakarta.

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