Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )

ANALISIS KERENTANAN WEBSITE DI LINGKUNGAN UNIVERSITAS MATARAM MENGGUNAKAN OWASP ZAP

2025-09-30T22:45:23+08:00

Currently, websites have become an integral component in various sectors of life, including business, entertainment, and education. Universitas Mataram (UNRAM), as one of the leading universities in the West Nusa Tenggara Province, utilizes a website as the main platform to convey information related to university programs and activities. However, with the rapid development of information technology, the vulnerability level to website security within the UNRAM environment has also increased. This research specifically focuses on vulnerability analysis on several subdomains within the UNRAM environment using the Open Web Application Security Project (OWASP) method. The analytical approach involves scanning subdomains using OWASP ZAP, identifying security vulnerabilities, and providing recommendations for corrective actions in accordance with the OWASP vulnerability list. The research results indicate that out of a total of 108 identified vulnerabilities across all tested subdomains, only 50,92% can be classified as valid vulnerabilities after the verification process. Each subdomain, such as SIA, SPI, FEB, FT, and PSTI, has different vulnerability levels, with verified vulnerability percentages of 71.43%, 45.45%, 75%, 77.78%, and 56.25%, respectively. Improvement recommendations include implementing Anti-CSRF tokens, SameSite attributes on cookies, proper server configuration, component updates such as Bootstrap, jQuery, and Chart.js, and enhancing cryptographic security measures.

Analisis Sentimen Ulasan Wisatawan Terhadap Destinasi Gili di KLU Menggunakan K-Means Clustering

2025-09-30T22:45:23+08:00

The rise of social media, particularly Twitter, has enabled sentiment analysis in tourism. This study examines tourist sentiments toward Gili, Lombok, using K-Means Clustering on 6,030 tweets, refined to 3,156 after cleaning. The clustering yielded Silhouette Coefficient scores of 0.4382 (positive-English), 0.4173 (positive-Indonesian), 0.4258 (negative-English), and 0.4535 (negative-Indonesian), indicating well-structured clusters. Tourists expressed positive views on natural beauty and activities but raised concerns about water supply issues. This study demonstrates K-Means Clustering’s effectiveness in revealing sentiment trends, offering valuable insights for local governments and tourism stakeholders to enhance visitor experiences and address challenges.

SISTEM INFORMASI “BOOK SUMMARY” PADA JENJANG SMP BERBASIS WEBSITE MENGGUNAKAN METODE PERSONAL EXTREME PROGRAMING (STUDI KASUS SMPN 4 TALIWANG)

2025-09-30T22:45:23+08:00

The availability of printed textbooks as the main learning resource remains a challenge in several schools, including SMP Negeri (SMPN) 4 Taliwang located in Sumbawa Barat Regency, West Nusa Tenggara. The limited availability of printed textbooks prevents students from fully accessing learning materials. Additionally, the results of the questionnaire indicate that most students prefer shorter texts, which suggests a low level of reading interest among the students. This becomes one of the obstacles in the implementation of learning, especially when the lesson material is presented in the form of long texts. Seeing the existing problem, the author developed a website-based books summary information system using the Personal Extreme Programming (PXP) method. The PXP method was chosen because of its quick cycle time and flexibility in accommodating new user needs, while still focusing on planning and software quality. This system is designed to enhance students' access to school lesson materials in a more concise manner, making them easier to understand, and accessible anytime and anywhere. The test results show that this system is capable of improving students' access to learning materials with a MOS percentage of 86% (excellence category), indicating that the system is functioning well and is suitable for use.

SISTEM INFORMASI MANAJEMEN PENYEWAAN LAPANGAN FUTSAL DI KOTA MATARAM MENGGUNAKAN METODE PROTOTYPING

2025-09-30T22:45:23+08:00

The inefficiency in the futsal field rental process in Mataram City, which still relies on manual methods such as booking by telephone or booking directly, results in delays in confirmation and potential recording errors. This research aims to develop a web-based Futsal Field Rental Management Information System to streamline the booking and payment process. The proposed system allows tenants to make reservations and payments online while assisting field owners in managing rental data and creating financial reports automatically, thereby increasing efficiency and accuracy. The system was developed using the prototyping method, which allows the creation and refinement of the system in stages through early versions (prototypes) that are evaluated by users, so that feedback can be integrated directly in each development cycle. System testing conducted using the Blackbox method shows that the developed system can function properly, simplify the ordering process, reduce recording errors, and improve business operational efficiency. In addition, testing was also carried out using the Mean Opinion Score (MOS) method to evaluate user satisfaction from a subjective perspective, providing insight into the perceived usability and acceptance level of the system. In conclusion, the implementation of this system effectively answers the challenges in futsal field rental by providing a faster, transparent, and efficient solution for both tenants and managers.

IMPLEMENTASI IOT UNTUK PEMANTAUAN KELEMBABAN TANAH DAN DEBIT AIR SERTA PENGENDALIAN IRIGASI TETES

2025-09-30T22:45:24+08:00

Penelitian ini mengeksplorasi penggunaan Internet of things (IOT) dalam sistem irigasi tetes untuk memantau kelembaban tanah dan debit air secara otomatis. Sensor kelembaban tanah dan sensor aliran air digabungkan ke mikrokontroler NodeMCU ESP8266 dan Arduino Uno. Teknologi ini memonitor kondisi tanah secara real time dan mengontrol penyiraman berdasarkan tingkat kelembaban. Pengujian selama tiga hari dilakukan untuk mengevaluasi kemampuan sistem dalam menyesuaikan penyiraman dengan kondisi tanah. Hasilnya menunjukkan bahwa perangkat ini dapat mendeteksi perubahan kelembapan tanah dan menyiram air secara otomatis ketika berada di bawah ambang batas yang telah ditentukan (44%) yang telah dikalibrasi sesuai dengan kebutuhan tanaman cabai. Pada hari pertama, penyiraman dilakukan satu kali, dengan total debit air 0,776 liter. Penyiraman dilakukan sebanyak dua kali pada hari kedua, dengan total debit air 0,977 liter. Sementara itu, pada hari ketiga, penyiraman dilakukan dua kali dengan total debit air 0,881 liter, untuk mengimbangi tingkat kelembapan tanah. Meskipun sistem ini telah terbukti efektif dalam mengoptimalkan penyiraman, terdapat beberapa keterbatasan dalam implementasinya. Sensor kelembaban tanah (YL-69) dapat mengalami fluktuasi pembacaan, terutama jika terdapat endapan mineral atau kondisi tanah yang berubah, sehingga kalibrasi rutin diperlukan. Temuan dari penelitian ini menunjukkan bahwa sistem irigasi berbasis IOT dapat secara otomatis mengoptimalkan penyiraman berdasarkan data kelembaban tanah dan debit air. Dengan teknologi ini, sistem dapat bereaksi terhadap perubahan kondisi lingkungan, memastikan bahwa penyiraman hanya dilakukan jika diperlukan.

RANCANG BANGUN SISTEM INFORMASI PEMESANAN TIKET TRAVEL BERBASIS WEBSITE MENGGUNAKAN METODE EXTREME PROGRAMMING (STUDI KASUS: FAJRI JAYA TRAVEL)

2025-09-30T22:45:24+08:00

Fajri Jaya Travel is a transportation service provider based in West Nusa Tenggara. In conducting its business activities, the company still uses the manual method, where prospective passengers are required to either visit the ticket agent in person or contact them by phone to book tickets or inquire about schedules, ticket prices, or seat availability. This method is inefficient and time-consuming, especially for people living far from ticket agents or having difficulties accessing information quickly. Furthermore, this approach is susceptible to recording errors, such as incorrect passenger data or duplicate seat numbers. To address this issue, this study aims to develop an online ticket booking system for Fajri Jaya Travel. This system will allow prospective passengers to obtain departure schedules and book tickets through a website, without the need to visit a ticket agent in person and minimizing data entry errors. This system is built using the Bootstrap and Laravel frameworks with the Extreme Programming development method. The system was tested using Black Box Testing to assess functionality and the Mean Opinion Score method to evaluate user satisfaction, resulting in average scores of 4.4 from administrators, 4.0 from drivers, and 4.55 from general users, indicating a high level of satisfaction.

PERFORMANCE ANALYSIS OF MULTILINGUAL AND MONOLINGUAL MODELS IN PREDICTING INDONESIAN LANGUAGE EMOTION USING TWITTER DATASET

2025-09-30T22:45:24+08:00

Although Indonesia has the third largest population in the world, the number of datasets available in the field of text processing in Indonesian is still very limited. Therefore, this research utilizes the ability of multilingual models that can be trained with multiple languages to predict emotions based on low-resource language such as Indonesian. Several training scenarios were conducted to evaluate the transferability and performance of these multilingual models compared to the monolingual IndoBERT model. The experimental results show that XLM-R outperforms mBERT and achieves competitive performance to IndoBERT, with XLM-R and IndoBERT achieving F1-score of 0.7793 and 0.7733 respectively. XLM-R also demonstrates competitive results on other evaluation metrics. These findings suggest that XLM-RoBERTa could be a promising alternative for emotion detection in languages with limited resources, such as Indonesian.

ANALISIS PERFORMA INDOBERTWEET DAN DISTILBERT PADA ANALISIS SENTIMEN DENGAN DATASET BERLABEL MANUAL DAN OTOMATIS

2025-09-30T22:45:24+08:00

Tourism in North Lombok, particularly the Gili Islands (Trawangan, Air, and Meno), plays a significant role in the regional economy. Understanding public sentiment through social media is crucial for improving tourism services and management. This study compares the performance of two transformer-based models IndoBERTweet and DistilBERT in sentiment analysis of tourism-related tweets from X (Twitter). The dataset used consists of 3,159 preprocessed Indonesian-language tweets, labeled through both manual annotation and automatic classification using DistilBERT. IndoBERTweet was evaluated on both manual and automatic labels, while DistilBERT was only applied to the manually translated dataset. Experimental results show that IndoBERTweet with manual labeling achieved an F1-score of 72.98% and demonstrated more balanced performance across all sentiment classes. Meanwhile, DistilBERT showed lower F1-scores overall (max. 57%) but performed efficiently in terms of computational time. Automatic labeling showed weak agreement with manual annotation (only 31.8% match), leading to bias in model learning, particularly the failure to detect neutral sentiment. Evaluation using new test sentences yielded 80% prediction accuracy, yet revealed that IndoBERTweet struggles with implicit sentiment or subtle dissatisfaction. This research highlights IndoBERTweet's effectiveness in Indonesian sentiment analysis and emphasizes the trade off between computational efficiency and contextual accuracy in lightweight models like DistilBERT.

PERANCANGAN SISTEM MODUL REGISTRASI PADA SISTEM INFORMASI MANAJEMEN RUMAH SAKIT (STUDI KASUS : RUMAH SAKIT UNIVERSITAS MATARAM)

2025-09-30T22:45:24+08:00

This paper presents the design and evaluation of a user-centered registration module for a hospital information system, implemented with a microservices architecture to enable independent development and seamless integration of registration, scheduling, and payment services. A prototype was assessed with 50 participants using the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The prototype achieved a SUS score of 78.9, indicating good usability. UEQ results showed excellent ratings in attractiveness, efficiency, stimulation, and novelty, while clarity and dependability scored good, revealing opportunities to improve navigation and instructional messaging. The modular microservices approach enhances scalability, maintainability, and performance. Future work will incorporate load testing, integration testing, and accessibility evaluations to further optimize system robustness and user satisfaction.

PERANCANGAN UI/UX PROTOTYPE MODUL PEMBAYARAN SIMRS UNIVERSITAS MATARAM DENGAN PENDEKATAN KOLABORATIF EXTREME PROGRAMMING DAN USER-CENTERED DESIGN

2025-09-30T22:45:24+08:00

This study aims to optimize the hospital payment process at Mataram University Hospital by designing a user-friendly interface for the payment module in the HMIS. Utilizing a combined approach of XP and UCD, the research identifies opportunities to enhance user experience and streamline payment transactions. Data collection involved literature reviews, staff interviews, and observations, highlighting user needs and system limitations. The redesigned payment module is intended to facilitate structured patient transaction management while ensuring accurate financial reporting. Initial prototype testing using SUS and UEQ methods showed high usability scores, with the SUS score reaching 82 with an “excellent” grade scale and 5 out of 6 aspects of UEQ falling within the “Excellent” category range, indicating that the design was in the top 10%. The novelty aspect is in the "Good" category, indicating that 10% of other systems score better and 75% of other systems score worse. Although it did not reach “Excellent”, the system still showed an adequate level of novelty.

PENGEMBANGAN SISTEM REKOMENDASI UNTUK SIMULASI RAKIT KOMPUTER MENGGUNAKAN ALGORITMA GENETIKA BERBASIS WEBSITE

2025-09-30T22:45:25+08:00

This research develops a web-based recommendation system for computer assembly simulations using genetic algorithms. The system is designed to assist users in selecting optimal computer components based on their available budget and desired performance. Component data were collected from e-commerce platforms and online sources, then preprocessed using Min-Max normalization to ensure balanced data scaling. The system was developed using Laravel for the frontend interface and Flask API for computational processing of the genetic algorithm. System evaluation was conducted using the System Usability Scale (SUS) method involving 21 respondents, resulting in an average score of 86.67, which falls into the "Excellent" category and Grade B on the usability scale. Additionally, performance comparisons with prebuilt systems from online stores show that the recommendation system produced assemblies with lower costs and higher performance. The implementation of selection, crossover, and mutation in the genetic algorithm effectively evaluates component combinations to achieve optimal configurations. This research contributes to the development of intelligent optimization-based systems that simplify the computer assembly process, particularly for novice users with limited technical knowledge and constrained budgets.