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Deny Zainal Arifin
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matics@uin-malang.ac.id
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Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
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MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)
Published by Universitas Islam Negeri Maulana Malik Ibrahim Malang
ISSN : 1978161X     EISSN : 24772550     DOI : https://doi.org/10.18860/mat
Core Subject : Science,
Computer Science & IT
MATICS is a scientific publication for widespread research and criticism topics in Computer Science and Information Technology. The journal is published twice a year, in March and September by Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia. The journal publishes two regular issues per year in the following areas : Algorithms and Complexity; Architecture and Organization; Computational Science; Discrete Structures; Graphics and Visualization; Human-Computer Interaction; Information Assurance and Security; Information Management; Intelligent Systems; Networking and Communication; Operating Systems; Platform-Based Development; Parallel and Distributed Computing; Programming Languages; Software Development Fundamentals; Software Engineering; Systems Fundamentals; Social Issues and Professional Practice.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 9 Documents
 1 
Search results for , issue "Vol 16, No 2 (2024): MATICS" : 9 Documents clear
Road Flood Warning Detection Using Wireless Sensors and Fuzzy Logic to Support Gresik Smart City Frayudha, Angga Debby
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28380

Abstract

In this paper, we study how to overcome the urgency of flooding that occurs suddenly around the city of Gresik using wireless sensors with fuzzy logic to support Gresik smart city. The process of making flood alarm detection is very difficult to solve. To overcome this, we propose the use of wireless sensors using fuzzy logic in flood-prone areas. Fuzzy logic is used to process sensor data to find more accurate results to improve accuracy and efficiency. Two sensors are installed at the flood warning test point, using Wemos D1 MINI / NodeMCU so that the IoT network can be connected to the server. The data obtained from the measurement results are processed using fuzzy logic. Fuzzy will provide flood warnings automatically when the height is 30 cm and above. The method used is qualitative and product development research. The results after conducting 100 trials showed that there were six cases of errors in reading the water level, so that from the trial an error of 6% was obtained from the sensor made and a success accuracy of 94% was obtained. The research conducted concluded that the research results were as expected. In this way, public safety against sudden flood events will increase.
Mitigation of Malware Ransomware Virus Ansori, Aan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28794

Abstract

Abstract— This research aims to explore and analyze ransomware mitigation strategies, a type of malware that encrypts data and demands a ransom. A literature review was used to collect and analyze data from academic journals, industry reports, and technical publications. The analysis of the literature indicates that prevention strategies such as user education, routine data Backups, and software updates are effective in reducing the risk of attacks. Early detection technologies, including intrusion detection systems and behavior analysis, have proven capable of identifying attacks before significant damage occurs. A swift and coordinated response, involving the isolation of infected systems and forensic analysis, can minimize impact and recovery costs. The research concludes that ransomware mitigation requires a holistic approach encompassing prevention, early detection, and rapid response. The combination of these strategies is effective in reducing damage and recovery costs following a ransomware attack.Index Terms—Mitigation, malware, and ransomware.
Feature Selection Based on Artificial Bee Colony and Gradient Boosting Decision Tree for Hotel Reservation Cancellation Prediction Using Random Forest Baroah, Hamida Maulana Lailatal; Hakim, Lukman
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28862

Abstract

This study focuses on predicting hotel booking cancellations using machine learning to improve accuracy and operational efficiency. The methods used include Random Forest, Artificial Bee Colony (ABC), and Gradient Boosting Decision Tree (GBDT). ABC, which excels in optimization but is prone to local optima, is combined with GBDT for feature selection. The dataset used is Hotel_Bookings from Kaggle, with 119,390 entries and 28 features. The data is processed through cleansing, normalization, and split into 75% for training and 25% for testing. Feature selection is performed using ABC and GBDT, and the prediction model is built using Random Forest. Model evaluation using confusion matrix and metrics like precision, recall, f1-score, and accuracy shows accuracies of 86.17% and 86.65% for ABC and GBDT, respectively. Increasing the number of trees and features generally improves model performance, with feature selection showing significant performance improvements compared to models without feature selection.
Fingerprint Pattern Feature Extraction for Loop Fingerprint Pattern Identification by Zhang-Suen and Stentiford Thinning Method fakhrina, alif
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28892

Abstract

Every fingerprint that a human possesses must have a fingerprint pattern and must be unique. Each pattern has a ridge pattern that will not change as long as there is no change due to an accident or injury. This ridge pattern can be used as biometric recognition. Based on the ridge pattern owned, the fingerprint pattern is divided into 4 patterns, including the tented arch pattern, the whorl pattern, the loop pattern (ulnar loop and radial loop). The stage of fingerprint pattern recognition begins by looking for minutiae (termination and bifurcation) points on the fingerprint using the Crossing Number (CN) method. Before searching for CN, the fingerprint image must be processed using the Otsu and Zhang-Suen or Stentiford Thinning methods. Thinning is used to facilitate the extraction of minutiae in fingerprint images. The last stage in obtaining the minutiae point is classified by the Linear Discriminant Analysis (LDA) method. The results obtained from the test data were 30 images, 24 images could be classified correctly, and 4 images could not be recognized. The accuracy rate of the fingerprint pattern identification system is 80%.
Development of Android Application for Insect Animal Recognition Based on Augmented Reality as Interactive Learning Media Paneo, Fahrezah R.; Manurung, Tohap K; Lapihu, Dodisutarma
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.27035

Abstract

This study aims to develop Augmented reality applications as an interesting and interactive learning media and able to provide convenience in introducing insect animals into 3-dimensional form. The method used to design this system is the Prototype method and application testing is used Usability testing. Based on the results of development and testing, the majority of respondents indicated that the Insect World application functions well and is easy to use. Positive responses are also seen in the perception of learning about insect animals provided by the Insect World application. The appearance of the application and the real insect models displayed are also favored by the majority of respondents, and most like the learning experience using the Insect World Augmented reality application.
Data Encryption and Security in Data Storage Management Information System Using Blowfish Algorithm Putri, Mayang Anglingsari; Trihapningsari, Denisha; Hapsani, Anggi Gustiningsih; Putri, Chandra Sina
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28893

Abstract

Documents and archives is an important part of BPAD (Badan Perpustakaan Arsip dan Dokumentasi) Malang because the main task is the management of archives. But in its management, mail archiving, as well as the approval letter is still done manually and there is no security of its data. With this system is expected to help to manage and document all messages are in BPAD (National Library of Archives and Documentation) Malang. Both incoming and outgoing mail. Letters contained in the system is also secured by means of encryption using the Blowfish algorithm to secure data archive important letters so that data is safe and away from the risk of this manipulation. Aplication can simplify the process of collecting data, archive storage and secure image archive in poor districts BPAD use blowfish algorithm so that data is safe and away from the risk of misuse.
Implementation of the Fast Method in Android-Based New Student Registration Application Alda, Muhamad; Sibarani, Fathiya Hasyifah
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.27614

Abstract

As the information and technology sectors develop, Android smartphones are a means of disseminating information that offers many benefits. In the current era, information technology has a huge impact on every aspect of daily life. Improvements in information technology in the education sector will become more user-friendly. One of them is SMP N 5 Medan, which requires IT assistance to register new students who still use paper forms. The current system has a problem because it makes it difficult to collect data and create reports. This research aims to develop an Android application that can be used by prospective students to register and assist SMPN 5 Medan in monitoring prospective student registration data. Application development in this research uses the FAST method, which includes scope definition, problem analysis, requirements analysis, logical design, decision analysis, physical design and integration, development and testing, and delivery. The developed application facilitates information access, registration, and aids SMP N 5 Medan in generating new student registration reports.
Bibliometric Analysis of Statistical Data Processing Using SPSS Anastasya, Diva Berta; Yuadi, Imam
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.25656

Abstract

This article conducts a thorough bibliometric analysis to explore the theme of "Statistical Data Processing Using SPSS," sourced from the Web of Science. Statistical analysis, essential in research, employs various methods, particularly for statistical data processing. Among the tools available for quantitative data analysis, SPSS (Statistical Package for Social Science) is prominently used. This study aims to analyze the efficiency and accuracy of SPSS in processing data, facilitating researchers in understanding relationships between variables for enhanced data-driven decision-making. The method involved searching data on the Web of Science and employing Biblioshiny for the bibliometric analysis. The analysis resulted in visualizations that categorized field data based on keywords, publication levels, regional distribution, and several relevant document types, covering 500 documents dated from 1991 to 2023. The findings indicate an annual growth rate of 13.14% and an average document age of 6.08 years. The study concludes that SPSS offers a precise tool for testing quantitative research data, underscoring its utility in statistical data processing
Optimizing Shopping Experience by Integrating Augmented Reality and Payment Gateway in SME Storefronts Tju, Teja Endra Eng; Azaru, Nugraha Rama
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 2 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i2.28695

Abstract

In the rapidly evolving digital era, leveraging advanced technologies to enhance the online shopping experience has become crucial, especially for small and medium-sized enterprises (SMEs) aiming to compete in the global market. This research focuses on optimizing the shopping experience by integrating Augmented Reality (AR) and Payment Gateway technologies into a storefront platform specifically designed for women's clothing SMEs. The study begins with a comprehensive analysis of market trends, customer behavior, and the challenges faced by SMEs in adopting these technologies. A detailed literature review provides the foundation for developing a robust conceptual framework. The prototype development phase involves designing 3D models using CLO | 3D Fashion Design Software, converting these models into AR experiences with Meta Spark Studio, and integrating the Midtrans Payment Gateway using Laravel. The AR feature enables users to virtually try on clothes via Instagram, while the Payment Gateway ensures quick and secure transactions. The final phase involves rigorous functional and substantive testing, focusing on user experience, transaction efficiency, and overall system performance. Results demonstrate that the integrated prototype significantly enhances the shopping experience, providing seamless AR interactions and efficient payment processing. Users reported high satisfaction levels with the system's usability and security. The study concludes that integrating AR and Payment Gateway technologies into SME storefronts can substantially improve their competitiveness in the digital market, offering practical insights and guidelines for future implementations in the e-commerce sector.

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