cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yusuf Ramadhan Nasution
Contact Email
jirsi.jurnal@gmail.com
Phone
+6285297473212
Journal Mail Official
jirsi.jurnal@gmail.com
Editorial Address
Jl. Kapten M. Jamil Lubis No.45, Bandar Selamat, Kec. Medan Tembung, Kota Medan, Sumatera Utara 20223
Location
Kota medan,
Sumatera utara
INDONESIA
Jurnal Ilmu Komputer dan Sistem Informasi
Published by Unity Academy
ISSN : 28306031     EISSN : 28303954     DOI : -
Core Subject : Science,
Computer Science & IT Library & Information Science
Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) dikelola secara profesional oleh LKP UNITY Academy dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya dalam panduan Kemendikbud Ristek Dikti. Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Adalah sebuah Jurnal blind peer-review yang didedikasikan untuk publikasi hasil karya ilmiah yang berkualitas di bidang Ilmu Komputer dan Teknologi Informasi (bidang rekayasa perangkat lunak, ilmu komputer, sistem informasi, teknologi informasi dan komunikasi, meachine learning, mikrokontroller, artificial intelligence, computer vision, jaringan komputer). Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Terbit 3 kali setahun (Januari, Mei, September).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 149 Documents
 10   11   12   13   14 
Hardening Keamanan Server eOffice Apache dengan TLS 1.3 dan Fail2ban Parulian Parulian; Baringin Sianipar; Danny Sihombing
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.348

Abstract

The security of campus digital services has become increasingly critical due to the rising intensity of automated attacks such as brute-force attempts, vulnerability scanning, and file upload exploitation targeting web-based administrative systems. The eOffice server of Universitas HKBP Nommensen, which serves as the central platform for document management and official correspondence, is also exposed to such threats. This study aims to enhance server security by implementing a defense-in-depth hardening strategy on Apache 2.4. The methodology includes the activation of TLS 1.3 for modern encrypted communication, the implementation of OWASP-compliant security headers, directory isolation to restrict malicious file execution, and the deployment of Fail2ban as a log-based Intrusion Prevention System (IPS) using a multi-jail approach. Evaluation was conducted using SSL Labs, SecurityHeaders.com, and attack log analysis. The results demonstrate significant improvements, highlighted by an upgrade in SSL rating from grade B to A+ and an increase in Security Headers rating to Grade A. In addition, the implemented IPS proved effective in detecting and mitigating automated attacks in real time. In conclusion, the combination of Apache hardening, modern TLS configuration, and log-based intrusion prevention significantly enhances the resilience of eOffice services and can be readily replicated by other institutions with limited resources.
Perencanaan Strategis SI/TI Menggunakan Metode Tozer di PT Sinar Sakti Matra Nusantara Bandung Arif Noor Iman; Patah Herwanto; Alya Salsabila Maulana; Muhammad Wendy Ananda Suhaeri
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.349

Abstract

PT Sinar Sakti Matra Nusantara (MATRA) is a manufacturing company specializing in machinery services, including turbine repair, mechanical and tooling services, and technical consultation. The main problem is the absence of an integrated information system across business units, causing inefficiencies in operational workflows. The company also lacks a dedicated IT division to oversee IS/IT development.  This research aims to: (1) map the competitive business situation of PT Sinar Sakti Matra Nusantara; (2) analyze IS/IT conditions within internal and external environments; and (3) formulate an IS/IT strategy that effectively optimizes business processes.  The study applies the Tozer Method, consisting of five phases: Phase 0 (determining context and scope), Phase 1 (identifying business information and support needs), Phase 2 (evaluating system suitability and identifying solutions), Phase 3 (identifying strategic solutions), and Phase 4 (preparing and executing an implementation plan). A qualitative approach was adopted through literature review, interviews, and direct observation. Analytical tools include SWOT, Value Chain, PEST, Five Force Model, Critical Success Factor (CSF), and McFarlan Strategic Grid.  The findings reveal that IS/IT development has not been implemented optimally, evidenced by the absence of an IT division and integrated systems. Eight systems and applications are proposed: a Personnel Administration System, Order Information System, Production Information System, Inventory System, Financial Information System, Consumer Order and After-Sales Monitoring Application, Delivery Application, and the company Website.  This research concludes that the Tozer Method successfully produced a comprehensive IS/IT strategic roadmap, enabling PT Sinar Sakti Matra Nusantara to grow more competitively alongside rapid technological advancements.
Model Optimasi Alokasi Dana Investasi Terbatas Menggunakan Pendekatan Riset Operasi dan Orange Data Mining Zuhri Zuhri; Fajrillah Fajrillah; Almastoni Almastoni; May Handri; Ari Lestari
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.350

Abstract

Limited capital is a major obstacle in investment decision-making, especially for novice investors. This study aims to develop an optimization model for investment fund allocation with limited capital using an operations research approach (linear programming) and its implementation through Orange Data Mining. A case study was conducted on three digital investment instruments (stocks, mutual funds, gold) with a total capital of IDR 100 million and a maximum risk limit of 10%. The method used is linear programming solved using the Simplex method and Orange Data Mining. The results showed an optimal solution of 25% stocks, 50% mutual funds, 25% gold with an expected return of IDR 10.75 million/year. Method comparison showed identical accuracy (100%) with Orange computation time of 0.3 seconds vs 15 minutes manually. Sensitivity analysis revealed that increasing risk tolerance from 10% to 15% increases returns to IDR 12.5 million. This research contributes to the development of investment decision support tools that are easy to use by novice investors as well as teaching materials for Operations Research.
Analisis Kejelasan Tujuan Pendidikan Remaja Berbasis Machine Learning dan Data Digital Psikometrik Dwi Wulandari Sari; Kurnia Gusti Ayu; Dana Riksa Buana; Hariesa Budi Prabowo; Muhammad Irvan
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.351

Abstract

This study aims to analyze adolescents’ educational goal clarity based on the integration of psychometric and digital activity data using a machine learning approach. The main problem addressed in this study is the limited utilization of digital and psychological data to understand adolescents’ educational goal characteristics. The methodology includes data preprocessing, clustering analysis using the K-Means algorithm to identify hidden patterns, and classification using Logistic Regression and Decision Tree to build predictive models. The results show that respondents are grouped into three main clusters: low, medium, and high, reflecting different levels of digital engagement and educational goal clarity. Using an 80:20 data split, the results show that on the test set (20%), Logistic Regression achieved the best performance with an accuracy of 0.95 and ROC-AUC of 0.996, while Decision Tree provided more interpretable patterns with an accuracy of 0.80. The most influential variables include frequency of information searching, duration of accessing educational content, and clustering results. The study concludes that productive digital behavior significantly contributes to adolescents’ educational goal clarity, and the hybrid machine learning approach is effective in combining pattern analysis and prediction.
Analisis Pengelompokan Tingkat Pemahaman Materi Siswa Berdasarkan Nilai Ujian Menggunakan Algoritma K-Means Cahaya Muzaddidah; Arief Hermawan; Donny Avianto
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.353

Abstract

Student understanding of learning content is an important indicator of educational success. This study aims to group student understanding based on their exam results in mathematics, English, science, social studies, and Arabic using the K-means Clustering algorithm. The data used consisted of 60 rows of student performance data, which were processed and standardized using Google Colab. The number of clusters was limited to two groups (K=2) to categorize students as having a high level of understanding or a basic level of understanding. The results showed that the K-means algorithm successfully identified groups of students with different levels of understanding based on their average exam scores. The group with a high level of understanding achieved an average score of more than 87.4. Teachers can use these Clustering results as a basis for developing more individualized and effective learning strategies for each group of students.
Pengembangan Aplikasi Presensi Berbasis Deep Learning Lailatul Akmal; Ilman Zuhri Yadi; Yesi Novaria Kunang; Fatma Sari
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.354

Abstract

A facial recognition-based attendance system is a modern solution to overcome the weaknesses of manual attendance methods that are prone to manipulation and recording errors. This study uses a deep learning-based attendance application by implementing a Convolutional Neural Network (CNN) using MobileNetV2, VGG16, and ResNet50 architectures optimized for devices with limited resources. The facial dataset was collected independently and went through preprocessing stages, including normalization, resizing, augmentation, and face detection with OpenCV. The model was trained using TensorFlow and Keras on Google Colab with a GPU. It was then evaluated using a confusion matrix, which yielded accurate predictions with a low error rate. A classification report was also conducted, with an accuracy of 0.98, a precision of 1.00, a recall of 1.00, and an F1-score of 1.00, achieving a very high level of performance, indicating no prediction errors. A Flask web-based application was designed to connect the facial recognition model with the user interface, and was tested in real-time to measure the speed and accuracy of attendance. The results show that the CNN-based attendance application is able to provide a safer, faster, and more efficient attendance alternative compared to conventional methods.
Implementasi Metode Goal-Directed Design Dalam Perancangan Antarmuka Website MDMC Kabupaten Klaten Berbasis Kebutuhan Pengguna Adika Sri Widagdo; Fachruddin Edi Nugroho Saputro; Krisna Nuresa Qodri; Nisrina Akbar Rizky Putri; Rizal Adimas Ronaldo
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.355

Abstract

This research is driven by the need for structured information media, specifically a website, to support disaster response reporting at MDMC Klaten Regency. Previously, information remained fragmented on social media, necessitating a more comprehensive platform. This study aims to design the MDMC Klaten Regency website interface based on user needs to ensure effective information delivery. The method employed is Goal-Directed Design (GDD), consisting of Research, Modeling, Requirement, Framework, Refinement, and Support stages. Data were collected through observations, interviews, and document studies, then transformed into Volunteer and General Public personas. The result is a website interface prototype featuring report publication workflows and location mapping visualization as primary features. Usability evaluation using the System Usability Scale (SUS) instrument with 59 respondents yielded an average score of 87.97. These results place the system in the "Acceptable" category with a "Grade A" rating and an "Excellent" Adjective Rating. In conclusion, the GDD approach is effective in producing interface designs aligned with user goals, characterized by high levels of navigation ease and information clarity. This study recommends further development of map interactivity to continuously optimize the user experience.
Perancangan Antena Mikrostrip Array 2 Elemen untuk Aplikasi 5G Menggunakan Software CST Mutiara Widasari Sitopu; Suherman Suherman; Febrin Aulia Batubara; Nur Adilah; Ummu Handasah; Muhammad Sukri Habibi Daulay; Charla Tri Selda Manik; Samuel Gerardo Simanjuntak
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.356

Abstract

The development of 5G communication technology requires antenna devices that have good performance, small size, and are able to operate at high frequencies. One alternative is a microstrip array antenna because it has advantages in size, ease of manufacture, and the ability to increase gain. This study discusses the design process and performance testing of a microstrip array antenna that functions at a frequency of 5GHz for use in 5G communication systems. The design and testing process were carried out using CST Studio Suite software. The simulation results show that the designed antenna is able to operate at a frequency of 5GHz with a return loss value of less than -10 dB, where the results obtained based on the simulation are -24.42dB. VSWR below 2, where the results obtained based on the simulation are 1.12, and desired bandwidth is wide, which is produced in this design is 380MHz. Thus, the designed two element microstrip array antenna has been successfully designed with the standard parameters specified for use in a 5G network communication system.
Analisis Potensi Customer Churn Menggunakan Algoritma Decision Tree (C4.5) Pada Indibiz Telkom Regional I Nadhilah Syafitri; Rizaldy Khair
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.357

Abstract

This study analyzes the potential for customer churn among Indibiz Telkom Regional I business customers by implementing the Decision Tree C4.5 algorithm. The primary issue addressed is the high risk of losing business customers, which impacts revenue stability. This research develops an automated classification system utilizing customer behavior attributes such as payment status, total tickets, and total complaints. The research methodology includes data collection, preprocessing, calculating entropy and information gain, and constructing a decision tree. The results reveal that the "total ticket" attribute has the highest gain ratio, indicating that the frequency of service disruptions is the most dominant factor in triggering churn. Testing of the developed web-based system demonstrated an accuracy rate of 68% in classifying customers into churn and non-churn categories. The implementation of the C4.5 algorithm proves effective in mapping customer behavior patterns and serves as a decision support instrument for management to determine more targeted customer retention strategies.
A Analisis Aplikasi E-Money Berbasis Mobile untuk Transaksi Pembayaran di Dharmawangsa Foodcourt Menggunakan Metode Usability Testing Annisa Ashari; Muhammad Eka; M. Arif Rahman
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.358

Abstract

Dharmawangsa Foodcourt Medan relies entirely on cash-based transactions, generating persistent operational issues including prolonged queuing, cashier miscalculation errors, and the absence of automated financial recording. This condition is inconsistent with the digital literacy profile of its primary users, namely the academic community. This study aims to design, develop, and evaluate an Android-based electronic payment application as a transaction digitalization solution within a campus foodcourt environment. System development employed the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance phases. Data were gathered through field observation, structured interviews with foodcourt management and tenants, literature review, and transaction workflow documentation. System evaluation was conducted using two approaches: black-box testing to verify complete feature functionality, and usability testing based on the ISO 9241-11 standard involving 10 active users. Black-box testing confirmed that all features operated according to specifications without functional failures. Usability testing produced an overall score of 84.95%, classified as Very Good, comprising effectiveness at 86.00%, efficiency at 83.33%, and user satisfaction at 85.33%. These findings demonstrate that the developed system effectively replaces cash transactions, enhances financial recording transparency, and delivers a faster and more structured transaction experience for users within higher education foodcourt settings.

Page 12 of 15 | Total Record : 149

 10   11   12   13   14 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2026): Januari 2026 Vol. 5 No. 2 (2025): Mei 2026 Vol. 4 No. 3 (2025): September 2025 Vol. 4 No. 2 (2025): Mei 2025 Vol. 4 No. 1 (2025): Januari 2025 Vol. 3 No. 3 (2024): September 2024 Vol. 3 No. 2 (2024): Mei 2024 Vol. 3 No. 1 (2024): Januari 2024 Vol. 2 No. 3 (2023): September 2023 Vol. 2 No. 2 (2023): Mei 2023 Vol. 2 No. 1 (2023): Januari 2023 Vol. 1 No. 2 (2022): September 2022 Vol. 1 No. 1 (2022): Mei 2022 More Issue