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Journal : Journal Collabits

Utilization of Blockchain Technology for Digital Assets Case Study Makes a Comparison Algorithm for Bitcoin and Etherium Maesaroh, Siti; Mubarak, Roy; Yusuf, Mohamad; Daffa, Raihan Nur
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27189

Abstract

Rise of digital assets, such as cryptocurrencies, has heralded a new era in financial technology, where blockchain technology plays a fundamental role. This study conducts a comparative analysis of the blockchain algorithms underlying two of the most prominent digital assets, Bitcoin and Ethereum, to evaluate their efficacy and applicability in various use cases. Through a detailed examination of the consensus mechanisms, security features, and transaction handling capacities of both blockchains, this paper aims to provide insights into the distinct functionalities and potential scalability of each system. 
Installing the Haiku Operating System on Virtual Box and Implementing File Management Yusuf, Mohamad; Al Fatah, M Reza; Fami, Asrul; Pratama, Vemas Adi; Z, M Fauzan; Syadam, Muhammad
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.26054

Abstract

This journal aims to explore the installation process of the Haiku operating system, utilizing VirtualBox and implementing effective file management techniques. Haiku, as an open-source operating system, showcases an innovative user interface and high performance. The study assesses the practicality of Haiku in virtualization through the use of the VirtualBox application. The journal presents step-by-step instructions on installing the Haiku operating system and deploying it within the VirtualBox application. Additionally, it delves into various aspects of file management in the Haiku system, including creation, deletion, and data viewing within files
Analysis of the Influence of Learning Strategies on the Academic Achievement of Gen-Z Students with Data Visualization Using Matplotlib in Python Salsabila, Yovi Naila; Lutfansa, Nabila Aulia; Fadiyah, Fitri Nur; Qurotaani, Nazwa Nurul; Safira, Dessi Adelia; Yusuf, Mohamad
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.28450

Abstract

This research examines the influence of learning strategies on the Grade Point Average (GPA) of Generation Z (Gen- Z) students. The background of this research is to understand how the learning strategies used by Gen-Z students affect their GPA. The research aims to analyze the influence of various learning strategies, identify the most effective ones, and demonstrate the use of the Matplotlib library in Python for data visualization. This research is quantitative in nature using statistical methods to evaluate the results. Data was collected through a questionnaire distributed to students, including the frequency of using learning strategies such as reading books, watching YouTube tutorials, doing practice questions, taking private lessons/online tutoring, and participation in training/seminars/workshops. Data analysis was carried out using Python and the Matplotlib library to visualize the data and provide a clear picture of the effectiveness of the learning strategy implemented. The research results show that active and technology- integrated learning strategies have a significant influence on increasing the academic achievement of Gen-Z students. Specifically, strategies such as watching YouTube tutorials and doing practice questions had a positive correlation with improving students' GPAs. These findings indicate the importance of adapting learning methods that suit the characteristics and learning preferences of Gen-Z students.
Evaluation of the Effectiveness of Hybrid Learning Based on Linear Algebraic Hybrid Model in the Online-Offline Lecture System in the Digital Era Ritonga, Andre Meyro; Sulistio, Nicholas; Anggriawan, Guruh Pandhu; Yusuf, Mohamad
Journal Collabits Vol 2, No 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i2.32548

Abstract

Optimal class division is a crucial aspect of academic planning to ensure the effectiveness of the learning process. The main challenges in class division lie in the limited capacity of space, balanced distribution of students, and the fulfillment of varied academic needs. This study proposes a Linear Programming-based approach to optimize class division by considering various constraints, such as the maximum capacity of the room, the number of students, and the distribution of subjects according to curriculum needs. The developed applications are designed to produce optimal solutions that minimize student distribution gaps and ensure efficient classroom utilization. A case study is applied to an educational institution to evaluate the performance of the application in real situations. The results of the experiment show that this approach is able to improve the efficiency of classroom allocation, reduce imbalances in the distribution of students, and optimize the use of educational facilities. Thus, this research contributes to more effective and data-based academic management in decision-making related to class division.
CONSTRUCTION AND MANAGEMENT OF A COSMOS-BASED OPERATING SYSTEM USING VISUAL STUDIO DEVELOPMENT AND VMWARE VIRTUALIZATION TECHNOLOGY Yusuf, Mohamad; Fahrezi, Zidane; Hidayah, Rafif Syari; Istanto, Yudha Andika; Saputra, Gilas Adi
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
The Implementation of the Fibonacci Encryption Algorithm for Image Security Yusuf, Mohamad; Lukito, Sebastianus; Pangestu, Ridho
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25424

Abstract

Dengan kemajuan teknologi digital, keamanan informasi, terutama dalam konteks gambar digital, kini menjadi perhatian utama di berbagai sektor, contohnya seperti foto KTP elektronik, surat-surat berharga, hingga dokumen-dokumen dengan tingkat kerahasiaan yang tinggi. Dalam penelitian ini, kami mengusulkan metode enkripsi gambar dengan memanfaatkan deret Fibonacci, suatu pendekatan yang belum banyak dieksplorasi dalam konteks keamanan gambar. Deret Fibonacci, yang dikenal dengan sifat matematika uniknya, kami mengintegrasikannya ke dalam proses enkripsi untuk meningkatkan keamanan gambar. Kami telah mengembangkan algoritma yang mengubah gambar menjadi NumPy array dan kemudian menerapkan operasi enkripsi pada setiap piksel berdasarkan nilai-nilai dalam deret Fibonacci. Proses ini tidak hanya memberikan perlindungan terhadap informasi yang ada di gambar tersebut, tetapi juga tetap mempertahankan integritas visual gambar saat kembali didekripsi. Analisis keamanan menunjukkan bahwa metode ini menawarkan resistensi yang signifikan terhadap berbagai serangan kriptografi sambil tetap efisien dalam hal perhitungan dan penyimpanan. Penelitian ini membuka jalan bagi perkembangan baru dalam keamanan gambar digital dan menawarkan metode yang dapat disesuaikan untuk berbagai aplikasi, mulai dari melindungi data pribadi hingga mengamankan informasi sensitif di sektor industri atau pemerintahan.
Pengembangan Aplikasi Website Pembelajaran untuk Solusi Persamaan Non-Linear Menggunakan Metode Numerik Newton-Raphson dengan Library React.js Prasha, Achmad Ardani; Mutiara, Sabrina Laila; Arfan, Muhammad; Widyatamaka, Erland; Yusuf, Mohamad
Journal Collabits Vol 1, No 3 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i3.28141

Abstract

Studi ini berfokus pada pembuatan aplikasi web edukatif yang dirancang untuk meningkatkan pemahaman dan penerapan metode Newton-Raphson, metode numerik dalam menyelesaikan persamaan non-linear. Aplikasi ini dibangun menggunakan React.js, yang memungkinkan antarmuka pengguna yang responsif dan interaktif. Metode Newton-Raphson, yang dikenal karena efisiensinya dalam menemukan akar persamaan non-linear, diimplementasikan dalam aplikasi ini untuk memberikan solusi yang cepat dan akurat. Fitur utama dari aplikasi ini mencakup visualisasi numerik dari proses iterasi, serta tutorial dan dokumentasi komprehensif tentang penggunaan metode Newton-Raphson. Aplikasi ini dievaluasi dengan menguji berbagai persamaan non-linear, yang menunjukkan efektivitasnya dalam meningkatkan pemahaman konseptual dan keterampilan praktis pengguna. Pengembangan di masa depan akan difokuskan pada integrasi metode numerik tambahan dan peningkatan performa aplikasi untuk pengalaman belajar yang optimal.Kata kunci: Newton-Raphson, Persamaan Non-linear, Iterasi, Aplikasi Web, React.js, Metode Numerik