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Siti Maesaroh
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siti.maesaroh@mercubuana.ac.id
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+6282125242949
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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 49 Documents
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Clinic Management System Saputra, Gilas Adi; Budiarto, Sabar; Pramadhan, Rivaldiansyah; Rivai, Adriean Baihaqi; Athalla, Raffi Zaidan
Journal Collabits Vol 1, No 3 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i3.31197

Abstract

A Clinic Management System (CMS) is a web-based application designed to streamline the management of clinic operations, including patient registration, appointment scheduling, medical records, and billing. The system utilizes PHP for server-side scripting, allowing for dynamic content creation and seamless interaction with the database. MySQL is used as a relational database management system (RDBMS) to securely store and manage patient, appointment, and medical record data. Visual Studio Code (VS Code) serves as the primary integrated development environment (IDE) for building and debugging applications, offering features such as syntax highlighting and version control integration. This CMS aims to increase efficiency, reduce administrative errors, and improve the overall experience for patients and healthcare providers.
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. 
Web-based Application Design "UMB Eats" With Laravel Framework Afiyati, Afiyati; Fahrezi, Zidane; Rizky, Muhammad; Ardi, Liandy Hayanto; Ahmad, Ersa
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.31239

Abstract

The ‘UMB Eats’ application was developed to improve the efficiency of Mercu Buana University canteen services by providing online ordering and payment features. This application makes it easier for users to access menu information, prices, and food stocks, while reducing long queues at the canteen. This research aims to design a web-based system that is practical and helps the management of orders and stock by sellers. As a result, ‘UMB Eats’ proved to provide a faster and more convenient experience for users, as well as supporting a more organised canteen operation.
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.
Design Of Web-Based Customer Menu Ordering Information System Case Study: Coffee Luck Coffee Shop Abdurohman, Dudun; Saputra, Eggi Firman; Munahar, Harris
Journal Collabits Vol 1, No 3 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i3.30262

Abstract

Technological developments make it easier for users to carry out all tasks such as food and beverage ordering process. One of the technologies used is a computer. Computer is one of the machines in charge to help human work so that the job can be done quickly.  Kedai COFFEE LUCK is one of the places engaged in the culinary that is located in Jl. Ks. Tubun No. 86, RT. 004/RW. 003, Koang Jaya, Pasar Baru, Karawaci, Tangerang City, Banten 15112. Currently the food and beverage ordering process at COFFEE LUCK Store still uses paper for the recording of its order transactions. Conventional system like this is less effective, which raises the problem that the food ordering paper often disappear because the paper ordering only stored in the cashier table, took a long time to build a food ordering report because it must recap the booking paper in one by one, there is still a difference in the amount of payment with the amount of food ordering due to calculation errors. Based on the problems that occur at this time, in need of food and beverage ordering system that can help the cashier in managing the food and beverage order data. This research uses Object Oriented Analysis (OOA) analysis methods and system design using Unified Modelling Language (UML) tools. Collection through observation stages, interviews with stakeholders and library studies. This food and beverage ordering system is made using the PHP programming language and Mysql database. This research resulted in a Web-based customer menu ordering system with the aim to increase time efficiency in managing food and beverage order data and to reduce the difference in payment and booking amounts.
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. 
Prototype of IoT-Based Administrative Service Visitor Counting Device in Cimone Jaya Village Maryana, Dwi; Haryani, Vera Dwi; Firmansyah, Ilham Eka; Antika, Dewi
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.32611

Abstract

Cimone Jaya Village is one of the government agencies tasked with providing services to the community for making correspondence. Every day many people come to the village to get correspondence services. Because of the large number of people who come to the village, the village wants to know the number of visitors who come to the village every day to get services because currently the village does not care how many people come to the village to get services so that the village does not know how many people visit the village to get services. This study created a visitor counting tool using an Arduino microcontroller, RFID Reader, RFID card and LCD (Liquid Crystal Display). This tool was created to find out the visitor counting system for administrative services in Cimone Jaya Village, to make it easier for the agency in recording administrative service calculations, to create accuracy in the method of calculating administrative services.
Toothpaste Brand Prediction Based on Analysis of Teeth Condition and Price Preferences Using the Random Forest Algorithm Afiyati, Afiyati; Ningrum, Rahma Farah; Naima, Faaza
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25560

Abstract

This study aimed to predict toothpaste brands based on an analysis of dental conditions and price preferences using the Random Forest algorithm and the CRISP-DM approach. The research results indicated that the variables of tooth color range and frequency of toothache had the highest influence, suggesting that consumers were more likely to choose a brand based on tooth color and sensitivity. Evaluation using the Confusion Matrix and Classification Report models demonstrated good performance with an accuracy of 91.3%. Based on the result, the model could serve as a robust foundation for developing a GUI-based Toothpaste Brand Prediction Application using the tkinter library, assisting users in making more informed decisions.
Neural Network Classification to Determine the Likelihood of Diabetes Using Python Programming Language Hidayah, Rafif Syari; Istanto, Yudha Andika
Journal Collabits Vol 1, No 3 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i3.27300

Abstract

Diabetes is a global health problem that affects millions of people worldwide. Predicting a person's risk of developing diabetes can be an important first step in disease prevention and management. In this study, we propose the development of a predictive model for diabetes using Neural Network (NN) technique with implementation using Python. The data used in this study consists of clinical information that includes factors such as pregnancy, glucose, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, and age. The model development process involves data pre-processing, selection of relevant features, model training, and performance evaluation using appropriate metrics. The experimental results show that the developed NN model has a good ability in predicting diabetes risk. The main contribution of this research is the use of NN techniques and Python coding in the development of predictive models for diabetes, which can provide useful guidance for medical practitioners in supporting disease prevention and management efforts. Future studies can extend this research by considering additional factors and improving the accuracy of the model by using more complex approaches. Keywords: Diabetes, Prediction, Neural Network, Python coding, Predictive model, Model development, Data pre-processing, Performance evaluation, Disease prevention, Disease management

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