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Tomy Satria Alasi
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Jurnal Armada Informatika
Published by STMIK Methodist Binjai
ISSN : 25980416     EISSN : 2615689X     DOI : https://doi.org/10.36520/jai.v8i2.130
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Armada Informatika, an Indonesian national journal, publishes high quality research papers in the broad field of Informatics and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 166 Documents
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Water Level Monitoring System as a Flood Detection System Based on the Internet of Things (IoT) with Quantitative Experimental Methodology Indriyani Talitha Putri; Karina Fitriamalia; Allwine; Wahyu Aji Pulungan
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

Floods are one of the natural disasters that frequently occur in Indonesia and can cause significant losses, both in material damage and human casualties. Recently, high rainfall intensity in Bandar Lampung City has increased the potential risk of flooding in several areas. Therefore, a water level monitoring system capable of providing rapid information is needed as part of disaster mitigation efforts. This study aims to design and simulate an Internet of Things (IoT)-based flood monitoring and early warning system using the ESP32 microcontroller and HC-SR04 Sensor ultrasonik. The system was designed and tested through simulation using the Wokwi platform and integrated with Node-RED via the MQTT protocol for data transmission and visualization on a web-based monitoring dashboard. The system performs periodic water level measurements every five minutes and displays water status based on predetermined threshold levels. Simulation results show that the system can transmit data in real time and display water level information on the monitoring dashboard. Therefore, the proposed system has the potential to be implemented as a flood monitoring and early warning solution to improve community preparedness in flood-prone areas, particularly in Bandar Lampung City.
Analysis of User Experience Quality of Automobile Spare Parts Sales Information System Using User Experience Questionnaire Method Muhammad Ridho Pramana Ridho; Faldi Handika Sarumaha; Murdani Murdani
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

The development of information technology has encouraged business sectors to utilize information systems to support operational activities, including the car spare parts sales process. However, the implementation of an information system should not only be evaluated from its functional aspects, but also from the quality of user experience. This study aims to analyze the quality of user experience in the car spare parts sales information system at CV Sumatra Motor using the User Experience Questionnaire (UEQ) method. The UEQ instrument consists of 26 question items covering six dimensions, namely attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. Data were collected through questionnaires distributed to system users and then processed by calculating the mean score for each UEQ dimension. The results showed that the overall mean score was 2.09, which is categorized as very good. The stimulation dimension obtained the highest score of 2.19, followed by perspicuity with 2.18 and attractiveness with 2.14. Meanwhile, the novelty dimension obtained the lowest score of 1.92, but it still falls into the good category. These results indicate that the system provides a positive user experience, particularly in terms of ease of use, comfort, and user engagement. Nevertheless, the novelty aspect still needs improvement through feature development, interface refinement, and system innovation to provide a more optimal user experience.
A Comparative Usability Analysis Of Streaming Applications: A Pssuq-Based Study On Vidio And Netflix Joy Nasten Sinaga; Hita Tan
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

The rapid growth of digital streaming services has increased the importance of user experience, particularly in terms of usability. This study aims to analyze and compare the usability of Vidio and Netflix using the Post-Study System Usability Questionnaire (PSSUQ). A quantitative approach with a cross-sectional survey design was employed involving 400 respondents who had experience using both applications. The PSSUQ instrument consists of 16 items measuring four main dimensions: Overall, System Usefulness, Information Quality, and Interface Quality. The results indicate that Netflix demonstrates better usability performance than Vidio, with an Overall score of 2.0506 compared to 2.2236. In terms of System Usefulness and Information Quality, Netflix performs better in system efficiency and information presentation. However, Vidio shows competitive performance in Interface Quality due to its simpler design and better alignment with local user preferences. These findings suggest that usability is influenced by both system performance and interface design. This study provides insights for developers to improve user experience through a balanced approach between technical performance and user-centered design.
Analysis of Website Access Patterns Using the FP-Growth Algorithm for Web Navigation Optimization Saliana Br Selian; Jhonsiman Simamora; Murdani Murdani
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

The development of internet technology has made websites the primary medium for delivering information and digital services, especially in e-commerce platforms. However, the complexity of website navigation often causes users difficulties in finding information or products quickly and efficiently. This study aims to analyze website user access patterns using the FP-Growth algorithm to optimize web navigation structures. The research method consists of several stages, including collecting user access log data, data preprocessing, transforming data into transaction forms, and applying the FP-Growth algorithm to identify frequent itemsets and association rules. The results indicate that the FP-Growth algorithm effectively identifies user access patterns, such as relationships between pages frequently visited together, including search pages, product details, carts, and checkout pages. The obtained confidence values indicate consistent navigation patterns among e-commerce website users. Based on these findings, navigation optimization recommendations were developed, including simplifying access flows, placing strategic features effectively, and improving user experience. Therefore, the implementation of the FP-Growth algorithm can help improve website navigation effectiveness in a more adaptive and efficient manner
XR-VITS: Extended Reality-Based Vehicle Tracking For Traffic Monitoring And Risk Assessment Dewi Yulianti; Allwine; M. Yhogha Ismail Ibn Ibrahim
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

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Abstract

Extended Reality (XR) technology represents a promising advancement for intelligent transportation systems by enhancing traffic monitoring, situational awareness, and operator interaction. Despite progress, conventional vehicle tracking systems continue to exhibit limitations, such as inaccurate trajectory estimation, restricted risk prediction capabilities, and non-intuitive visualization interfaces. This study introduces XR-VITS (Extended Reality Vehicle Intelligent Tracking System), an integrated framework that unifies YOLO-based vehicle detection, Kalman filter-based multi-object tracking, homography-based real-world coordinate mapping, trajectory prediction, collision risk assessment, and immersive XR visualization within a single traffic monitoring architecture. The framework was evaluated on diverse traffic datasets, including urban, highway, adverse weather, and low-light scenarios. Experimental results indicate that XR-VITS achieved a Multiple Object Tracking Accuracy (MOTA) of 89.3% and an Identification F1 Score (IDF1) of 86.2%, surpassing several state-of-the-art tracking methods, such as DeepSORT, StrongSORT, ByteTrack, and QDTrack. Additionally, the system attained a collision risk prediction F1-score of 86.4% while maintaining real-time processing at 25.1 FPS. The XR visualization module further enhanced operator situational awareness and reduced response times compared to conventional 2D monitoring systems. These results demonstrate that XR-VITS provides an effective and scalable solution for next-generation intelligent transportation systems requiring predictive intelligence, immersive visualization, and real-time traffic monitoring.
Implementation of a Web-Based System as a Promotional and Product Ordering Media at Spacetrip.LTD Yusuf Hidayat; Moh Mahmud Yunus; Jupron Jupron
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.258

Abstract

The utilization of independent digital platforms has become crucial for the creative industry to avoid dependence on third-party algorithms and to mitigate the risks of manual data management errors. This study aims to implement a website-based e-commerce information system that integrates promotional functions and real-time order automation at Spacetrip Ltd. The system development method employed is the Agile methodology to support design flexibility, encompassing stages that include requirements analysis, design using Unified Modeling Language (UML), implementation, and system testing. The testing results demonstrate that the developed website-based system successfully automates inventory data synchronization and structured order recapitulation. This system is capable of eliminating inventory information asymmetry and accelerating online customer transactions. In conclusion, this study proves that the application of the Agile method in an independent system effectively enhances operational service quality while optimally expanding digital marketing reach. Future recommendations include the development of predictive analysis features for product sales trends
Content Marketing Strategy in Increasing Student MSME Brand Awareness Pius Deski Manalu; Dedi Irawan; Mutiara S. Simanjuntak; Dody Hidayat
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.209

Abstract

This study is motivated by the low level of brand awareness among student-owned micro, small, and medium enterprises (MSMEs), which is mainly caused by the suboptimal implementation of digital marketing strategies, particularly content marketing. The main problem addressed in this research is how content marketing strategies can improve brand awareness among student MSMEs. This study aims to analyze the effect of content marketing on brand awareness and to identify effective content strategies that support such improvement. The research employs a quantitative approach using a survey method involving 100 student MSME actors in the Padang Bulan area. Data were collected through questionnaires using a Likert scale and analyzed using simple linear regression and t-test. The results indicate that content marketing has a positive and significant effect on brand awareness, with a regression coefficient of 0.68 and a significance value of 0.000 (less than 0.05). Additionally, about 78% of respondents actively use social media for marketing purposes, while only 65% ​​have structured content strategies. This finding suggests that improving content quality, creativity, and consistency can significantly enhance brand awareness. This study is expected to provide practical insights for student MSMEs in optimizing content-based digital marketing strategies.
Data Encryption Using a Combination of 32-bit MAGENTA Method and Bit Rotation Technique for SQL Database Record Security Marwa Halim; Tomy Satria Alasi
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.226

Abstract

The rapid growth of digital information systems has increased the vulnerability of sensitive data stored in SQL databases against various security threats, including unauthorized access, data theft, and manipulation. This study aims to enhance the security of SQL database records by developing a hybrid encryption method that combines the modified 32-bit MAGENTA algorithm with the Bit Rotation technique. The proposed method converts every four characters of plaintext into a 32-bit binary representation before applying the modified MAGENTA encryption process, followed by a 4-bit left rotation to increase diffusion and ciphertext complexity. Experimental testing was conducted on student grade records consisting of NIM, course code, and grade fields. The results demonstrate that the combination of 32-bit MAGENTA and Bit Rotation produces highly randomized ciphertext that is difficult to analyze. The decryption process successfully restores the original data without any information loss. Performance evaluation shows that the proposed method maintains the original data length and supports the full ASCII character range (0–255) with acceptable processing time. This hybrid approach provides a stronger security level compared to the use of a single encryption method, making it a promising solution for protecting sensitive records in SQL databases.
Implementation of Naïve Bayes for Tokopedia Review Sentiment Classification Based on Web Dashboard Anika Sukma Wanda; Usman
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.245

Abstract

The growth of electronic commerce (e-commerce) in Indonesia has led to an increase in user review volumes on digital platforms, including the Tokopedia application on the Google Play Store. The large number of reviews makes manual analysis inefficient and difficult to perform quickly for service evaluation purposes. This study develops a sentiment classification system by integrating Naïve Bayes, TF-IDF, and PySastrawi in a Flask-based web dashboard for real-time prediction. The method used is the Naïve Bayes algorithm with Term Frequency–Inverse Document Frequency (TF-IDF) feature extraction and five stages of text preprocessing using PySastrawi, namely case folding, cleaning, tokenizing, stopword removal, and stemming. The dataset was collected through a Google Play Store scraping process consisting of 5,000 reviews. A total of 278 three-star reviews were removed due to semantic ambiguity, resulting in a final dataset of 4,722 reviews consisting of 2,424 negative and 2,298 positive sentiments. The data were split using an 80:20 ratio into 3,777 training data and 945 testing data. The experimental results show an accuracy of 86.14%, precision of 87.18%, recall of 86.14%, and F1-score of 86.00%. For the negative class, precision and recall were 80% and 98%, respectively, while for the positive class, precision and recall were 97% and 75%, respectively. This study produces an integrated web dashboard system capable of presenting data visualization, model evaluation, and real-time sentiment prediction directly through a web interface.
Optimizing Academic Data Integrity through the Design of an Integrated Relational Database with Normalization Syahruni Runi; Fitri Yunita; Endy Sudeska
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.251

Abstract

anual academic data management often leads to data redundancy, information inconsistency, and obstacles in data reporting within educational institutions. This study aims to design an Academic Management System (AMS) database capable of integrating student, teacher, schedule, and administrative data into a single, structured system. The method employed is the Database Development Life Cycle (DDLC), which includes requirements analysis, Entity Relationship Diagram (ERD) modeling, and the application of normalization to maintain data integrity using the MariaDB DBMS. The results demonstrate that the designed database structure successfully minimizes data redundancy and improves information storage efficiency. The study concludes that the application of normalization in a relational database significantly enhances the performance of academic data

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