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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 10 Documents
 1 
Search results for , issue "Vol 1, No 2 (2024)" : 10 Documents clear
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
Entity-Relationship Diagram Technique in Database Palinggi, Owen Baan; Triana, Yaya Sudarya; Permana, Muhamad Bagas; Huda, Darul Fitahul; Priyono, Kus Andi
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27252

Abstract

The Entity Relationship Diagram (ERD) is one of the most important data modeling techniques in the database design process. ERDs are used to represent data in a conceptual form before being implemented into the actual database schema. By using an ERD, developers can illustrate the relationships between entities, the attributes possessed by each entity, and the types of relationships that occur between these entities.The use of ERDs in database design has several main benefits. First, ERDs help to accurately and consistently model data requirements before the implementation stage. Second, ERDs provide a clear visual representation of the data structure, facilitating communication and understanding among team members. Third, ERDs serve as the basis for designing an efficient and well-structured database schema.Despite being an essential technique, many developers still struggle with creating accurate and appropriate ERDs. Errors in designing ERDs can cause serious problems in database implementation, such as data redundancy, anomalies, or even data loss. Therefore, a deep understanding of the concepts and rules in creating ERDs is crucial.In this journal, an example of a correct ERD will be presented along with a detailed explanation of each entity, attribute, and relationship involved. This discussion is expected to provide guidance for readers in designing accurate ERDs that meet the requirements, thereby producing an efficient database.
Comparative Analysis of Consumer Experience Against Business Strategy in E-Commerce: Case Study of Shopee and Tokopedia Hakim, Lukman; Karima, Inna Sabily; Oktavian, Rahmat; Muarif, Muhammad Riski; Hidayat, Ahmad
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27242

Abstract

The purpose of this research is to compare customer experiences in e-commerce. Electronic commerce is a global phenomenon that has changed the way businesses interact with consumers. It involves buying, selling and exchanging goods and services through online platforms. E-commerce has grown rapidly along with advances in information technology in business strategies. However, the challenges faced in e-commerce include the security of online transactions, intense competition, and the need to build customer trust. Examples of e- commerce are SHOPEE, LAZADA, TOKOPEDIA and others. It's just that in this research theresearcher will compare the 3 studies in terms of customer experience. SHOPEE, LAZADA AND TOKOPEDIA are three e-commerce platforms operating in Southeast Asia, including Indonesia. By using quantitative methods.
Impact Analysis of Internet of Things Implementation on Supply Chain Efficiency Susmanto, Dede; Gea, Mira Astuti; Saputro, Aditya Hendri
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27562

Abstract

Technology known as the Internet of Things (IoT) has brought about significant changes in many aspects of daily life, including pet care. This research aims to analyze the impact of IoT device efficiency on patient outcomes. Efficiency benchmarks are essential for businesses to meet increasingly challenging global market conditions. It is anticipated that by utilizing IoT capabilities for real-time data collection, processing, and analysis, visibility, coordination, and process optimization will increase in pass parity.
Improving E-commerce Experience with Django Framework Jokonowo, Bambang; Mubarak, Roy; Cherid, Annis; Rivai, Adriean Baihaqi; Ahmad, Rijalul Awal
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27237

Abstract

The Rise of Django Framework in Ecommerce Development: A Comprehensive Guide The advent of the digital era has triggered an unprecedented surge in e-commerce platforms, necessitating robust frameworks for their development. In this landscape, Django emerges as a key player, offering a comprehensive solution for building scalable and efficient online shopping environments. This paper delves into the utilization of Django Framework in creating e-commerce platforms that align with the evolving needs of modern businesses and consumers. Adopting a practical approach, we explore how Django integrates with core e-commerce functionalities such as inventory management, payment processing, and user analytics. We emphasize the importance of seamlessly blending Django's advanced features with e-commerce tools to ensure a smooth and efficient shopping experience. We showcase the success of our approach in crafting an e-commerce website that is efficient, reliable, and adaptable to the dynamic shifts of the business landscape. Our findings highlight the pivotal role of Django Framework in providing a sturdy foundation for developing successful and responsive e-commerce platforms in the rapidly evolving digital era. Through a combination of theoretical insights and practical applications, this paper provides valuable insights for developers and businesses alike who seek to optimally leverage Django Framework in optimizing e-commerce business success. In essence, our research confirms the enduring relevance and effectiveness of Django in driving efficiency and innovation within the realm of online commerce.
Optimization of Education through Artificial Intelligence: Exploration of Types of AI and Their Contribution in Education Wibowo, Aditya Dwi; Mudhohi, Ahmad Faqih; Wulandari, Dapita Apriani; Milah, Eli Agus; Vinanti, Caterina
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27233

Abstract

Artificial Intelligence (AI) is an increasingly developing technology that plays a crucial role in various fields, including the education system. AI can enhance the efficiency and effectiveness of the education system through various methods such as adaptive learning, predictive analysis, intelligent tutoring systems, natural language processing, and gamification. Artificial Intelligence (AI) is expected to continue to evolve. As AI has great potential to optimize and improve many aspects of human life, including education, health, business, technology, and more. Therefore, this idea is adopted by researchers to further optimize AI capabilities in the world of education and contribute to the efficiency and effectiveness of the education world. This research discusses the role of artificial intelligence in improving the efficiency and effectiveness of the education system. A literature review technique is used to collect and analyze information on this topic. The research shows that artificial intelligence can increase the efficiency and effectiveness of the education system by accelerating and facilitating the learning process, providing personalized recommendations, predicting student behavior, and improving data management.
Linear Regression Algorithm in Pulse Purchase System Simple Using Python Afiyati, Afiyati; Ayu, Kurnia Gusti; Roza, Yuni; Sakhrassalam, Haytsam; Syafiq, Nur Muhammad Zihni
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27256

Abstract

In today's digital era, the online credit purchase system has become an integral part of everyday life. The use of linear regression algorithms in this context is becoming increasingly relevant, as it provides a powerful approach to analyzing and predicting pulse buying patterns. This research proposes a simple pulse purchase system that implements a linear regression algorithm, using the Python programming language. The purpose of this study is to develop a predictive model that can estimate the amount of credit to be purchased based on certain variables, such as the time of purchase, the number of previous transactions, and the value of prior purchases. By analyzing historical transaction data, the system can take into account possible purchase patterns and estimate future credit needs with an adequate level of accuracy. The implementation of linear regression algorithms in Python allows users to easily access and use this pulse purchase system. Through a simple but intuitive interface, users can enter their transaction parameters and the system will predict the required number of pulses. Experiments were conducted to test the performance of this system in producing accurate predictions. The results of the experiment show that this system can provide estimates close to the real value, with a high degree of accuracy. This indicates that the use of linear regression algorithms in pulse purchase systems has great potential to improve efficiency and reliability in online transactions. In addition, the implementation of this algorithm also has a positive impact on transaction security. By analyzing purchasing patterns, the system can detect anomalies or suspicious activities that may occur, thereby increasing the level of security in the process of buying credit online. Overall, this study shows that the use of linear regression algorithms in pulse purchase systems has significant benefits in improving the efficiency, reliability, and security of online transactions. The practical implementation of this algorithm in the Python programming language opens the door for further development in the analysis and optimization of future pulse purchase system.
Employee Management Application with Tkinter GUI Nugroho, Alvian; Febriyani, Nisa; Kurniawan, Heri
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27715

Abstract

Employee Management Application with Tkinter GUI is software designed to make it easier for users to manage employee data efficiently. Using the graphical user interface (GUI) provided by the Tkinter library in the Python programming language, this application allows users to add, search, edit and delete employee data entries easily. Apart from that, this application is also equipped with a feature to save and load employee data from external files in JSON format. This way, users can quickly and conveniently manage their employee information without having to bother with time-consuming administrative tasks. This application provides an effective and simple solution for managing employee data for various types of organizations and businesses.
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. 
Use and Application of Virtual Reality (VR) in Learning Optimization and Effectiveness to Increase Student Interest in Learning: A Study Using Systematic Literature Review (SLR) Method Sari, Yunita Sartika; Santoso, Hadi; Rahmah, Nia; Ibrahim, Maulana; Imaman, Rahardian Aulia
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27264

Abstract

Adopsi media pembelajaran digital telah merevolusi cara kita belajar dan mengajar. Dalam konteks sistem pendidikan, sering ada kebutuhan untuk media baru. Media inovatif ini diharapkan dapat menyulut motivasi belajar siswa. Selain itu, integrasi mereka ke dalam sistem pendidikan bertujuan untuk meningkatkan prestasi siswa baik secara akademis maupun di luar. Media digital memiliki potensi yang signifikan untuk meningkatkan pengalaman belajar siswa. Penelitian ini berfokus pada kajian pustaka terkait pemanfaatan lingkungan belajar digital dalam pendidikan. Dalam lanskap yang berkembang pesat saat ini, banyak materi pembelajaran telah beralih dari format berbasis cetak ke digital. Meluasnya adopsi media digital dalam pendidikan mencakup teknologi mutakhir seperti virtual reality (VR). VR berfungsi sebagai alat pembelajaran yang kreatif dan mendalam, membawa siswa ke dunia baru yang menantang untuk dijelajahi melalui metode pengajaran tradisional. Penelitian secara konsisten menekankan pentingnya lingkungan belajar berbasis teknologi di abad ke-21. Media ini memfasilitasi keterlibatan siswa, membuat pembelajaran lebih interaktif dan efektif. Pada akhirnya, media pembelajaran mencakup media apa pun yang secara efektif menyampaikan pesan atau informasi antara siswa dan pendidik, menangkap perhatian, minat, pikiran, dan emosi mereka untuk mencapai tujuan pendidikan.Kata kunci: virtual reality (VR), lingkungan belajar digital, optimasi pembelajaran. 

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