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Siti Maesaroh
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siti.maesaroh@mercubuana.ac.id
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collabits-fasilkom@mercubuana.ac.id
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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 3 Documents
 1 
Search results for , issue "vol. 1 no. 1 (2024)" : 3 Documents clear
Implementation Analytical Hierarchy Process Method to Improve the Effectiveness of Social Assistance Distribution Yunita Sartika Sari; Lukman Hakim
Journal Collabits Vol. 1 No. 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25490

Abstract

Based on the report of the central statistics agency, the number of poor people in Indonesia reached 26.16 million people. The government has made efforts to provide assistance to overcome this problem, one of which is beneficiaries. The distribution of beneficiaries which is being held is still not optimal because of the uneven distribution of aid to underprivileged communities. The purpose of this research is to implement a Decision Support System (DSS) to determine the right community to receive beneficiaries which will be given based on several criteria used, namely: education, employment, and place of residence. In this study, proposes to build a model that has a decision-making concept. The method used in this Decision Support System is the Analytical Hierarchy Process (AHP). The expected results in this study are a decision support system that can assist in determining beneficiaries.
Construction and Management of a Cosmos-Based Operating System Using Visual Studio Development and VMware Virtualization Technology Mohamad Yusuf; Zidane Fahrezi; Rafif Syari Hidayah; Yudha Andika Istanto; Gilas Adi Saputra
Journal Collabits Vol. 1 No. 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25559

Abstract

Operating systems play an important role in bridging hardware and software on various computing devices. This research focuses on building an operating system based on Cosmos, an open source project that allows the creation of operating system kernels quickly and efficiently. In the process, we leverage Visual Studio development tools to develop and maintain the kernel, while VMware virtualization technology is used to test and manage development. This research contributes to further understanding of the development of Cosmos-based operating systems with optimal use of Visual Studio development tools and VMware virtualization technology
File Search on an FTP Server Using the Fuzzywuzzy Method and the DFS Algorithm Naufal Saidhus Syuhur; Bambang Jokonowo; Agil Dwiki Wijaya
Journal Collabits Vol. 1 No. 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25561

Abstract

The Depth-First Search (DFS) algorithm can be used to search for files on an FTP server. The fuzzywuzzy method can be applied to perform fuzzy string matching for the file names. To implement this, one can establish a connection to the FTP server using a programming language that supports FTP operations, retrieve the file listings using DFS, apply fuzzy matching to the file names, and retrieve the matching files. The fuzzywuzzy method is a string matching library that uses the Levenshtein Distance to calculate the differences between sequences. While there are no specific examples of using DFS with fuzzywuzzy on an FTP server, the general approach can be implemented using ftplib in Python for FTP operations and the fuzzywuzzy library for fuzzy string matching.

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