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Jurnal Ilmiah Informatika dan Komputer
Published by CV.RIZANIA MEDIA PRATAMA
ISSN : -     EISSN : 30474752     DOI : https://doi.crossref.org/10.69533
Core Subject : Science,
Computer Science & IT
INFORMATECH : Jurnal Ilmiah Informatika dan Komputer (E-ISSN : 3047-4752) merupakan Jurnal nasional dengan akses terbuka yang menerbitkan artikel hasil penelitian di bidang Teknik Informatika dan Ilmu Komputer. Ruang Lingkup Jurnal meliputi Kecerdasan Buatan (Artificial Intellegence), Sistem Informasi, Robotika, Jaringan Komputer, Pengolahan Citra (Image Processing), Aplikasi Mobile, Data Mining dan bidang ilmu informatika lainnya. Jurnal INFORMATECH dikelola dan dipublikasikan oleh Rumah Jurnal RIZANIA MEDIA PRATAMA. Jurnal ini diterbitkan sebagai sarana dan wadah para dosen, ilmuan, peneliti maupun pakar bidang Teknik Informatika dan Ilmu Komputer mempublikasikan hasil-hasil penelitiannya untuk menunjang Tugas dan Program Tri Dharma Perguruan Tinggi secara Umum. Jurnal INFORMATECH terbit dua kali dalam setahun pada bulan Juni dan Desember.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 62 Documents
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The Utilization of Exam Browser Application as Assessment Media at Madrasah Tsanawiyah Islamiyah Trimoharjo Dwi Prayitno; Femas Adi Prakasa; Nirma; Thoha Firdaus
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/5ay62f68

Abstract

This study aims to measure the level of effectiveness of the Exam Browser application as a tool in the learning evaluation process in Islamiyah Trimoharjo. This research was conducted using a quantitative descriptive method. The subjects in this study are students of MTs Islamiyah Trmoharjo. The data in this study is in the form of answers from questionnaires. The results of the study show that most of the students from MTs Islamiyah Trimoharjo consider this application to provide convenience in the implementation of the exam. They see that the application can increase focus and help improve discipline and honesty in working on problems. While most students can overcome difficulties in accessing the app, technical constraints such as errors, lag, and performance are still concerns. The exambro application used for exams is accepted by both teachers and students because it facilitates the implementation of exams with user-friendly features, question randomization and real-time monitoring, obstacles that occur during the use of this application by teachers and students only on technical issues such as unstable internet connections and device compatibility, and positive perceptions from teachers and students regarding the use of the application.
Al-Istiqomah Islamic Boarding School Academic Information System Based on the Waterfall Model Thoha Firdaus; Muhammad Iksannudin; Muhammad Naufal Jamil Al Basyari Sutoyo; Deri Feriyansah; Pamuji Muhamad Jakak
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/8t8s2t58

Abstract

This article discusses the development of a web-based Academic Information System (AIS) for Istiqomah Islamic Boarding School using  the Laravel framework. The main objective of this study is to create an integrated and efficient system to manage student academic data, including grades, report cards, attendance, and information about both instructors and students at Al-Istiqomah Islamic Boarding School. The research method used is Research and Development (R&D) with a waterfall approach, starting from requirements analysis, system design, implementation, and testing. Data collection was carried out through interviews with pesantren administrative staff and observation of ongoing academic processes. The findings of the study show that the AIS developed successfully facilitates the digital management of academic data, reducing reliance on manual note-taking, which is prone to errors and slow. The system provides essential modules such as student data management, grade input, attendance recapitulation, student financial reports, and class schedules. System testing using the black box testing method  shows that all functions are operating well and meeting the needs of the user. Thus, this system is expected to increase efficiency and accuracy in the management of academic information, as well as support better decision-making at the Istiqomah Islamic Boarding School.
Linear Algebra in Geometric Transformations Raihan Faisal Dzikra; Diny Syarifah
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/h6b9sx39

Abstract

This study aims to deeply examine the role of Linear Algebra in geometric transformation through a combined qualitative-quantitative approach. By combining systematic literature studies, content analysis, GeoGebra-based virtual laboratory experiments, and field case studies, this study found that transformation matrices, vector spaces, and orthogonal projections are the main foundations in representing and manipulating geometric objects precisely. The results show that a deep understanding of Linear Algebra improves students' spatial visualization abilities by 34% and the efficiency of Augmented Reality (AR) application design by up to 27%.Startup NextVision AR Lab (Jl. Gegerkalong Hilir, Bandung) – cloud-based AR specialist for manufacturing & education. Problem Rendering high-detail 3D objects (>100k vertices) on a Snapdragon XR2 headset frequently drops frames. Hypothesis Optimizing the matrix transformation algorithms (model-view-projection, normal, pose) can reduce GPU load by up to 30% without compromising visual fidelity.
Linear Algebra for Modern Statistics: Efficiency and Interpretability Challenges in Regression and PCA Khoerul Rahman; Diny Syarifah Sany
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/tsygq116

Abstract

The development of modern statistics faces the challenge of high-dimensional data complexity, which requires an efficient yet interpretable approach. Linear algebra offers a solution through matrix representation, but its limitations in non-linear contexts and high-dimensional interpretation need to be examined in greater depth. This study analyzes algebraic methods through case studies of linear regression (normal equation solutions) and PCA (eigen decomposition), tested on synthetic datasets and MNIST. The results show: (1) a 40% computational acceleration in matrix-based regression, (2) PCA successfully reduces the MNIST dimension to 3 main components (retaining 85% of the variance), but a survey reveals that 73% of practitioners have difficulty interpreting high-dimensional components. Despite its efficiency advantages, algebraic methods require further development through hybrid approaches (kernel PCA) and interpretable techniques to address limitations in linearity and high-dimensional complexity.
Matrix: Basic Concepts And Practical Applications In Daily Life Muhamad Dimas Aprijal; Diny Syarifah
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/v728gt48

Abstract

Matrix, as a fundamental mathematical concept, have crucial applications in computer science. This study analyzes: the basic structure of matrices (definition, types, addition-multiplication-inverse operations), and their implementation in computational fields, including: digital image processing (pixel representation, image transformation), intelligent systems (matrix-based neural networks), data security (matrix encryption), and network optimization (routing algorithms). A combination of literature review and case analysis reveals that understanding matrices is the backbone of modern computing, particularly in the development of machine learning and computer vision. Findings indicate a gap between conventional matrix theory and the demands of large-scale computing in industry. This study recommends integrating examples of computer science applications into matrix education to prepare digital talent.
Development of an Integrated Information System for Monitoring and Validation of Health Workers Practice Licenses (STR) in Healthcare Facilities Kriswibowo, Rony; Agung Budi Setyawan; Rusina Widha Febriana
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/q3pe1364

Abstract

The management of Health Workers ' Registration Certificates (STR) in Indonesia faces challenges such as manual processing, data fragmentation, and the risk of expired or fake STR, which can endanger patient safety and hinder supervision by health facilities and authorities. This study developed a web-based information system using the Waterfall approach, through the stages of needs analysis, design, implementation, testing (Black Box and User Acceptance Testing), and deployment on Anwar Medika University servers, with centralized database features, automatic notifications, QR code verification, and compliance reports. As a result, the system improved efficiency, accuracy, and transparency, with 87% of respondents rating the intuitive interface and service satisfactory, 89% felt the time efficiency, and 95% considered the system easy to use. The system is recommended to be widely implemented, integrated with the national e-Health, with regular maintenance and training of users to support the management of accountable and qualified health personnel.
Matrix in Linear Algebra for Modern Computational Solutions Miral Setiawan; Diny Syarifah Sany
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/wcv24y31

Abstract

This study aims to examine the basic concepts of matrix in linear algebra through conceptual and computational approaches. Matrix are understood not only as computational tools, but also as representations of linear transformations and relationships in vector spaces. The method used is a combination of theoretical analysis and numerical experiments using NumPy and SymPy. A case study was conducted by constructing a distance matrix between 20 districts in Cianjur in the form of a 20x20 symmetric matrix. The results show that the determinant of the matrix reflects the stability of the spatial system, while the inverse is useful for solving systems of linear equations. Eigenvalue and eigenvector analysis identified the most strategically located districts within the network. Additionally, the farthest distance between districts was successfully determined and can be utilized for more efficient transportation route planning. In conclusion, a conceptual and computational understanding of matrix structure is crucial, not only in linear algebra theory but also in practical applications such as regional planning and transportation network management.
Matrix-Based Computation in Informatics: A Conceptual Review of Linear Algebra Applications Nazar, Muhammad Nazar Aufa; Diny, Diny Syarifah Sany
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 1 (2025): June 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/4p5h1v72

Abstract

Linear algebra and matrices play a critical role in informatics, especially in understanding multidimensional data and computational processes. This study aims to explore the fundamental concepts and practical applications of linear algebra and matrices using a descriptive qualitative method with a literature review approach. Data sources include textbooks, international journals, and recent academic articles. The findings reveal that concepts such as vector spaces, determinants, eigenvalues, and matrix transformations are widely applied in machine learning, image processing, and modern data analysis. Techniques like Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) are proven effective for dimensionality reduction and feature extraction. The study concludes that linear algebra acts as a bridge between mathematical theory and informatics applications, serving as a foundation for developing intelligent systems and algorithms. This research is expected to serve as a conceptual reference for students and scholars in the field of information technology.
Generating Unimodular Matrix in Python for Solving Systems of Linear Equations Muhammad Irfan Mustakim; Diny Syarifah Sany
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/8k7k9p54

Abstract

Linear equation systems with integer solutions are widely used in modern computing fields such as cryptography and optimization, but conventional methods often produce inaccurate decimal solutions. To address this issue, this research developed a Python program based on NumPy that can efficiently generate unimodular matrices. The method involves three main stages: initializing an upper triangular matrix with diagonal elements of ±1, filling non-diagonal elements with random integers, and transforming the matrix through elementary row operations. Test results show that the program successfully generates unimodular matrices of sizes 4×4 to 9×9 with perfect accuracy (determinant exactly ±1), an average computation time of 0.5 seconds for a 4×4 matrix, and efficient memory usage (under 20 MB). The solutions to the linear equations are always exact integers, meeting the requirements for high-precision computation. This implementation not only provides a practical solution for integer linear equation systems but also opens up opportunities for applications in cryptographic algorithm development and optimization techniques that require absolute precision. The findings of this research confirm that numerical computation approaches can produce both accurate and efficient mathematical solutions.
Adaptive Ensemble Learning for Real-Time Anomaly Detection in 5G Networks Agus Dendi Rachmatsyah; Benny Wijaya; Syafrul Irawadi; Ari Amir Al-Kodri; lili Indah Sari
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/ksrbjq98

Abstract

5G networks enable ultra-high speed, low latency, and massive connectivity for critical applications such as IoT, autonomous vehicles, and digital healthcare. However, the complexity and high traffic volume in 5G architectures increase the risk of anomalies that threaten service quality and security. This study addresses the problem by proposing a real-time anomaly detection framework based on streaming data and ensemble learning algorithms. Network traffic is processed through a stream processing platform, while ensemble models such as Random Forest, Gradient Boosting, and Voting Classifier are applied to improve detection accuracy. Experimental results show that the proposed system achieves high accuracy and low latency in detecting anomalies, including Distributed Denial of Service (DDoS) attacks and technical failures. This research contributes a scalable and effective solution to enhance 5G network security and reliability, advancing the field of cybersecurity and network analytics.

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