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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 1 (2024)" : 10 Documents clear
Design And Develop a Website Application For Waste Retribution Payment Budiman, Ramdani; Hidayanti, Nur; Agustiani, Widia
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25425

Abstract

Dinas Lingkungan Hidup Kabupaten Serang carries out regional government affairs in the environmental sector in accordance with the Regent's vision, mission and programs outlined in the Regional Medium Term Development Plan (RPJMD). The problem that occurs in the waste levy payment process is that errors often occur in the data collection service for waste levy payments, then in the process of collecting data and recording payment reports, also in the process of recor`xding payments it can still be said to be less efficient because the levy officer has to write the data on proof of payment and wait for it to be recorded. on paper by the treasurer and then summarized in Microsoft Office Excel. The method used in this research is CodeIgniter (CI) for the information system being developed. The system design used in this research uses the waterfall method so that it is easier to develop and uses the Unified Modeling Language (UML) for visual system modeling. The results achieved after implementing this application made it easier for admins to overcome difficulties in inputting waste levy data which had previously been carried out at the Serang district environmental service. The conclusion obtained is that by using this waste levy application, it can support improvements in work so that the data input process is more effective and efficient. Waste levy data becomes more structured and well documented.
DevelopmentUser Interface and Experience of Web-Based Psychological Tests (Case Study: Universal University) Roza, Yuni; Maesaroh, Siti
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25562

Abstract

Developing a user interface and user experience for a web-based psychological test application at Universal University, especially the Uvers Career Center (UCC), is a technology that is needed to make the appearance of an application non-monotonous and dynamic. Previously, psychological test applications that had been developed by previous research did not meet the UCC's own standard requirements. The data source that will be used is qualitative data and uses a usability testing method with the aim of making it easier for users to carry out psychological tests with a display that is in accordance with what is required by the UCC. The final result of the research is designing the user interface and experience of the MindQuiz application which has a usability score of 83.11.
IMPLEMENTATION ANALYTICAL HIERARCHY PROCESS METHOD TO IMPROVE THE EFFECTIVENESS OF SOCIAL ASSISTANCE DISTRIBUTION Sari, Yunita Sartika; Hakim, Lukman
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.
FILE SEARCH ON AN FTP SERVER USING THE FUZZYWUZZY METHOD AND THE DFS ALGORITHM Syuhur, Naufal Saidhus; Jokonowo, Bambang; Wijaya, Agil Dwiki
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.
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
Measuring Quality of Service (QoS) on Ki Hajar Dewantoro High School Internet Networks Maesaroh, Siti; Hakim, Lukman; Erliyani, Ita; Hidayat, Khairul
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25564

Abstract

At SMA Ki Hajar Dewantoro Tangerang, the recurring issues with the internet network are attributed to several problems, including Throughput, Packet loss, Delay, and Jitter. By employing the Quality of Service (QoS) method, the values of these parameters can be measured to assess the performance of the existing internet services. The measurement of parameter values revealed the highest throughput during peak hours for ISP 1, with an average value of 1813 kbps falling into the 'Good' category. Conversely, the lowest throughput was observed during non-peak hours for ISP 2, with an average value of 300 kbps categorized as 'Poor.' The highest packet loss occurred during non-peak hours for ISP 2, with an average value of 1%, classified as 'Very Good.' On the other hand, the lowest packet loss was recorded during peak hours for ISP 1, with an average of 0.036%, categorized as 'Very Good.' Regarding delay, the highest average delay was noted during non-peak hours for ISP 2, with a value of 21.5ms falling into the 'Very Good' category. Conversely, the lowest delay was observed during peak hours for ISP 1, with an average value of 4.25ms categorized as 'Very Good.' For jitter, the highest average jitter occurred during non-peak hours for ISP 2, with a value of 21.5ms in the 'Good' category. In contrast, the lowest jitter was recorded during peak hours for ISP 1, with an average value of 4.25ms categorized as 'Good.'
Development E-Archive Web System for District Office Letters Management Alfiah, Fifit; Setiadi, Ade; Amalia, Andiena
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25401

Abstract

Every company, business entity, or agency, both private and government, requires archiving activities because they are very necessary, given the importance of the role of archives. Therefore, to carry out archiving tasks properly, there must be improvements and optimal improvements so that they can function properly and achieve the goals that have been set. set. The availability of complete and accurate data and information will become a fundamental requirement in any organization, private or government. Understanding the significance of filing in terms of assisting leaders in making decisions or dealing with problems at the Larangan District Office in Tangerang City. Especially in the general section, where filing and processing document activities are still done traditionally, work takes a long time. The process of selecting data and reporting is difficult to manage because the data is distributed in multiple locations and various forms. Observation, interviews, and a literature review were used following the PIECES method. After analyzing, the authors propose a website-based Electronic Archive system for archiving incoming and outgoing mail, which also serves as a data storage area. As a result, the existence of a new system can reduce errors during data processing, and make the search process faster, and the reports generated follow the existing data
Transfer Learning Implementation on Bi-LSTM with Optimizer to Improve Non-Ferrous Metal Prices Prediction Pratomo, Adji; Jatmika, Muhammad O.; Kerim, Bedine; Budiarto, Rahmat
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25468

Abstract

Over the past few years, the implementation of renewable energy or go-green has intensified along with the rapid development of its technology and increasing uncertainty of natural conditions that cause the prices of non-ferrous metals such as copper, aluminum, nickel, etc. used as main components for developing renewable energy devices, e.g.: battery, experience instability price in the commodity futures market. Economic players who trade metals in the futures market certainly need to be careful and must evaluate the state of the world economy. This study proposes a prediction engine as a combination of Bidirectional Long-Short Term Memory (BiLSTM), with three optimization algorithms, i.e.: Adam, Root Mean Squared Propagation (RMSProp), and Stochastic Gradient Descent (SGD), and transfer learning to make model training better. Experiments on four historical data on nickel, lead, aluminum and copper prices in the commodity futures market are conducted. The selected features are: open price, close price and volume price. Twelve models will be created to find the model that best predicts the metal prices. The top 3 models with the best performance were selected, they are: model 4 RMSProp with R2 value of 0,99029 and MSE 0,00076 as the first ranking, model 3 Adam with R2 value of 0,98877 and MSE 0,00074 as the second ranking, and model 4 Adam with value of R2 0,98522 and MSE 0,00115 as the third ranking.
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.
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.

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