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Andry Fajar Zulkarnain
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JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Published by Universitas Lambung Mangkurat
ISSN : 25275399     EISSN : 25282514     DOI : http://dx.doi.org/10.20527
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) is intended as a media for scientific studies on the results of research, thinking and analytical-critical studies regarding research in Systems Engineering, Informatics / Information Technology, Information Management and Information Systems. As part of the spirit of disseminating knowledge from the results of research and thought for service to the wider community and as a reference source for academics in the field of Technology and Information.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 142 Documents
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Optimising OSPF Routing to Improve LAN Network Performance Muhammad Fajrian Noor; Sofyar
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 1 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i1.467

Abstract

The performance of a Local Area Network (LAN) greatly depends on the efficiency of the routing protocol applied. This study aims to optimize the configuration of the Open Shortest Path First (OSPF) protocol to improve LAN performance. OSPF is a dynamic routing protocol based on a link-state algorithm that calculates the shortest path using Dijkstra’s algorithm. The research method employed is simulation using Cisco Packet Tracer software. The network topology consists of multiple routers and end-devices, divided into three OSPF areas, each configured with specific IDs, subnets, and IP addresses. The configuration process includes setting IP addresses, assigning OSPF areas, and testing connectivity using ping and traceroute commands. The results demonstrate that OSPF successfully establishes full adjacency between routers, synchronizes the Link-State Advertisement (LSA) database, and ensures optimal routing paths across devices. This implementation proves that OSPF enhances efficiency, convergence speed, and network stability. The study contributes to the development of small to medium-scale LAN networks requiring optimal and reliable data traffic management. It also provides practical insight for network engineers in designing scalable and high-performance routing configurations.
Evaluation of Open-Source Application Utilization for Enhancing Learning Quality Ihdalhubbi Maulida; Syahmani; Musyifa Adla
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 1 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i1.468

Abstract

Open-source software serves as a source of software that requires little cost, making this application easy to modify and independently develop. The Computer Education Study Program improves practical learning with the use of Open-source software, aiming to measure the effectiveness of open-source software in the practical learning conducted in the laboratory of the Computer Education Study Program. The effectiveness of open-source software was measured using a research and development method approach to determine that the open-source software can be applied to laboratory-based learning, and a survey approach using Likert scale to evaluate students' understanding of open-source software applications. The open-source software that was measured for effectiveness includes NetBeans for the Basic Programming II course, Visual Studio Code for the Web Programmers I and II Course, MATLAB for the Simulation and Modeling Course, and the use of Linux for the Operating System Course. The data sample consisted of 39 students in the Computer Education Study Program. The effectiveness was assessed in the implementation of open-source practicum learning was assessed by collecting supporting open-source software data, validating open-source software, simulating practicum on software in lecture materials, and conducting practicum material trials in real classroom practicum lectures. Based on the results of the trial, it was found that 85% of the open-source software can be used in lectures, and 80% of students were able to understand how to use the open-source software.
Implementation of Midtrans Payment Gateway in the 81 Coffee Sales Application Ari anto; Rafie Rafie
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.471

Abstract

81 Coffee is a coffee shop business established in Banjarmasin City that faces challenges in its conventional sales system and dependency on third-party marketplaces, which affect profit margins and operational efficiency. This study aims to design and implement a mobile-based coffee sales application to improve transaction efficiency, expand customer reach, and provide a better user experience. The research employed a software development method using the Flutter framework for mobile application development, Firebase as the cloud database, and Midtrans as the payment gateway. The system was tested through functional, integration, and field testing using various devices and network conditions to measure response time, transaction success rate, and data consistency. The results show that the application performs effectively, achieving an average UI response time of 1.2 seconds, payment success rate of 98%, and data consistency of 100%. The integration of Midtrans enables a secure and seamless digital payment process. Overall, the developed system improves operational efficiency and provides a reliable digital sales platform for 81 Coffee’s business operations.
Web-Based Contract Employee Payroll Information System at PT.Bridgestone Kalimantan Plantation Asti Yana; Rahmat Hidayat; Rafie Rafie
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.472

Abstract

The payroll system for contract employees used by PT. Bridgestone Kalimantan Plantation has been relying on Microsoft Excel to calculate contract employee salaries. However, using Microsoft Excel has several drawbacks when it comes to payroll processing, one of which is its inefficiency when dealing with large datasets. This study aims to analyze and design a web-based payroll system for contract employees to assist and simplify the process of calculating payroll for contract employees at PT. Bridgestone Kalimantan Plantation. The methods used in this study include system requirements analysis, database design, and the implementation of a web-based system using Laragon as the database. This research was conducted by analyzing the current system, obtaining data from direct interviews with parties involved in the employee payroll system, and conducting observations. The results of this research simplify the processing of contract employee data, minimize data errors, accelerate data verification and validation, and make salary calculations easier, thereby generating more effective and efficient information.
Implementation of An Indonesian Vehicle License Plate Recognition System In Real-Time Using EasyOCR and Regex Pattern Validation Moch Taufik; Asep Hernandi; Muhammad Wahyu Syaiful Anaam; Andi Riansyah
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.473

Abstract

This study presents the design and implementation of a real-time Automatic License Plate Recognition (ALPR) system specifically tailored for Indonesian vehicle plates, integrating EasyOCR, computer vision-based image preprocessing, and Regular Expression (regex) validation. The system captures images or video streams and applies a multi-level preprocessing pipeline, including grayscale conversion, Gaussian noise reduction, edge detection, and contour-based plate localization, before performing optical character recognition based on deep learning using a convolutional recurrent neural network with an attention mechanism. Post-recognition processing with regex filtering ensures strict compliance with the official Indonesian license plate format, thereby minimizing false positives and improving recognition accuracy. Experimental evaluation using real-world surveillance data achieved 75% accuracy, 100% precision, 75% recall, and an F1-score of 86%, indicating an optimal balance between detection precision and sensitivity. The system’s advantages include real-time performance, ease of deployment with open-source software, and adaptability to various lighting and environmental conditions. However, the system still shows limitations under extreme conditions such as nighttime, heavy rain, and dense traffic, where recognition accuracy tends to decrease. Therefore, future research will focus on algorithm optimization for low-light, adverse weather, and motion-blur scenarios, large-scale deployment in urban areas, and integration with AI-based vehicle tracking, positioning this system as a key enabling technology in the development of smart city infrastructure.
Design of a Web-Based Medical Equipment Monitoring Information System at Bhakti Yudha Hospital Evy Nurmiati; Ahmad Khahfi; Musthafa Kamil
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.474

Abstract

Effective inventory management is a critical component for ensuring smooth operational continuity, especially in a healthcare setting where timely access to supplies directly impacts patient care. At Bhakti Yudha Hospital, this vital process is hampered by its reliance on manual, spreadsheet-based tracking. This traditional approach is highly susceptible to human error, resulting in significant data inaccuracies and a critical lack of real-time stock visibility, which can ultimately compromise service delivery. To overcome these challenges, a web-based inventory monitoring information system was developed using the Rapid Application Development (RAD) methodology, chosen for its rapid and iterative prototyping capabilities. Modeled with UML diagrams, the system is designed to automate data entry, enhance accuracy, and provide transparent, role-based stock information for both administrators and general users. Key features include an analytical dashboard for strategic oversight, automated low-stock notifications to prevent shortages, and versatile PDF report generation for documentation. Comprehensive black-box testing has confirmed that all core functionalities perform as expected, meeting the initial requirements. This positions the system as an effective solution to significantly optimize the reliability and efficiency of the inventory management process at Bhakti Yudha Hospital.
Financial Management Website Design Using a Design Thinking Approach (Case Study Noka Dessert) Okti Bela Alisia; Moch. Tiofany Yugi Ferdiansyah; Muhammad Alimun; Anisa Hudi Widaningrum; Priska Choirina
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.475

Abstract

Micro, small and medium enterprises (MSME) such as Noka Dessert often use outdated methods to document financial transactions, which makes tracking finances in real time impossible and is prone to errors. This study intends to explore the creation of a web-based financial management system with the purpose of automating the task of record-keeping and improving real time reporting using the Design Thinking approach. Focusing on users such as owners and employees ensures enhanced accuracy, efficiency, and improved accessibility of the data. The system allows forser authentication as admin and staff, with rights for data entry, validation, and reporting. Functional testing using the System Usability Scale (SUS) has indicated a satisfactory user experience with a mean score of 76. Further research is recommended towards connecting the system with digital payment platforms, overhauling the inventory system, and conducting regular workshops. Noka Dessert is anticipated to improve financial management in this system, leading to sustainable business growth.
Comparison of Naive Bayes and SVM in Public Opinion Sentiment Analysis on Platform X Salma Ngarifatul Khofiyah; Pungkas Subarkah
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.478

Abstract

The growth of social media has made it the primary means for the general public to express their opinions, including on political and legal issues in Indonesia. One topic that has been widely discussed is the abolition of Tom Lembong and the amnesty granted to Hasto Kristiyanto by President Prabowo Subianto, which has garnered mixed public reactions on the X platform. The purpose of this study is to analyze public sentiment regarding current issues and compare the performance of two machine learning algorithms, Naïve Bayes and Support Vector Machine (SVM), to classify public opinion. Data was obtained through a crawling process of 3,003 tweets, followed by a preprocessing stage that included cleaning, case folding, slang normalization, tokenizing, stopword removal, and stemming. Next, a suitability analysis using the TF-IDF method was conducted before the data was processed by the two algorithms. The results showed that, of the 2,998 valid tweets, 78.6% of public opinion was negative and only 21.4% was positive, indicating a predominance of criticism of the issues discussed. When comparing the algorithms, SVM provided more accurate results with an accuracy rate of 78.66%, while Naïve Bayes only achieved 58%. This shows that SVM is more flexible in analyzing text data with a high level of complexity compared to Naïve Bayes.
Comparative Evaluation of Data Mining Classification Algorithms For Predicting Earthquake Alert Levels Arya Ardhi Baskara
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.481

Abstract

Earthquakes are one of the most destructive natural disasters, particularly in Indonesia, which is located at the convergence of three active tectonic plates. Conventional early warning systems generally rely on real-time vibration detection but lack the capability to provide comprehensive predictions about the potential severity of an earthquake. This study aims to address these limitations by applying data mining techniques and machine learning algorithms to classify earthquake alert levels based on seismic parameters, including magnitude, depth, Community Determined Intensity (CDI), Modified Mercalli Intensity (MMI), and significance (Sig). A dataset of 1,300 earthquake records was obtained and processed using the Knowledge Discovery in Database (KDD) methodology, which includes data selection, preprocessing, transformation, modeling, and evaluation. Five classification algorithms were compared: Decision Tree, Random Forest, Naïve Bayes, K-Nearest Neighbor (KNN), and Neural Network. Model performance was evaluated using confusion matrix metrics such as accuracy, precision, recall, and F1-score. The results indicate that Random Forest achieved the highest performance with an accuracy of 88.52% and macro recall of 88.90%, outperforming other algorithms. Decision Tree ranked second with balanced performance, while KNN and Neural Network achieved moderate results. Naïve Bayes performed the weakest. Overall, Random Forest is the most reliable algorithm for supporting earthquake early warning systems.
Application of the Heart Metrics Method in Analyzing User Experience on the Rayz UMM Website Wildan Suharso; Briansyah Setio Wiyono; Firman Firman
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 2 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i2.482

Abstract

The Rayz UMM Hotel website serves as the primary medium for conveying information about services and facilities, but so far, the quality of the user experience (UX) on the website has not been studied in depth. Based on the initial questionnaire results, there were also several negative responses that indicated dissatisfaction with the aspects of Happiness and Adoption. Therefore, a comprehensive UX evaluation is needed. This study uses the HEART Framework method, which covers five aspects, namely Happiness, Engagement, Adoption, Retention, and Task Success. The research instrument is a questionnaire with 20 questions distributed to website users, which is then analyzed through validity and reliability tests, hypothesis testing, and measurement of the level of usability. The results show that the variables of Happiness and Task Success are in the very high category, Retention is in the very high category, while Engagement and Adoption are in the very high category. These findings confirm that the Hotel Rayz UMM website has generally been able to provide a fairly good user experience, but still needs development in terms of navigation and system performance in order to optimize UX quality.

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