JTIM : Jurnal Teknologi Informasi dan Multimedia
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290 research outputs found
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Visualisasi Organ Tubuh Dampak Merokok Menggunakan Augmented Reality
No full textCigarettes are an addictive substance that can cause addiction for those who consume them. Each cigarette contains more than 4,000 types of harmful chemicals for the body. However, smoking has become a habit for some people, especially men, it can harm health and become a source of disease. One of these diseases is coronary heart disease and lung cancer, which are among the leading causes of death due to smoking annually. In 2019, Indonesia had the highest number of teenage smokers in ASEAN, therefore the importance of education about the dangers of smoking is highlight. Public service announcements are a common form of education about the dangers of smoking. According to data, 51.10% of the Indonesian population are active smokers, the highest rate in ASEAN. Raising awareness about the health hazards of smoking, especially to the heart and lungs is crucial and should be conveyed to the public through educational, informative, and interactive media. One such method is the use of multimedia with augmented reality technology. Augmented reality is a technology that can project a 3Dimensional (3D) object into the real world in real-time. This research implements augmented reality using a markerless approach that can display 3D objects of human organs, such as the lungs and heart, affected by smoking
Social Media dan Media Online Analytic Universitas Islam Negeri Mataram dengan Lexicon Based Method dan Latent Dirichlet Allocation
No full textThe rapid development of digital technology has revolutionized online and social media analysis, making it an indispensable tool for educational institutions such as Universitas Islam Negeri (UIN) Mataram to comprehend public perception and trending topics. By applying the Latent Dirichlet Allocation (LDA) approach to identify trending topics and the Lexicon-based method to analyze sentiment toward these topics, this research addresses the challenge of identifying key issues and public sentiment. Research data was collected from various news platforms and social media such as Twitter or X, Instagram, and Facebook, using the Google News API and Selenium for web scraping. The collected data was then processed to generate findings relevant to this research. The results of the LDA show that the most frequently discussed topics are related to the achievement of superior accreditation by UIN Mataram, student achievements, and academic activities. Meanwhile, using the lexicon-based method, the sentiment analysis results found that most topics related to UIN Mataram received dominant positive sentiment. Several topics showed positive sentiments, reaching almost 100%, such as topics 2 and 10, which were related to achieving accreditation. Meanwhile, several other issues were dominated by neutral sentiment, indicating that discussions on the topic tended to be informative without triggering significant emotions. Overall, the UIN Mataram institution was viewed positively in the news and media discussions analyzed
Desain UI/UX e-Marketplace UMKM Pastry & Bakery (Bakehouse) dengan Metode Lean UX
No full textMicro, small, and medium enterprises (MSMEs) currently play a crucial role in the Indonesian economy. However, there are several challenges faced by MSME managers in Indonesia such as marketing and digitalization problems. In overcoming these challenges, MSMEs need help in managing business processes more effectively and efficiently, by using e-marketplaces. This e-marketplace application was designed using the Lean UX approach, which involves four key stages: declare assumption, create an Minimum Viable Product (MVP), run an experiment, feedback and research. The Lean UX method supports efficient digital platform development, focuses on customer needs, accelerates trend adaptation, and enhances customer experience and loyalty through feedback-driven iterations. The primary objective of this process is to facilitate the management of information about registered MSMEs in the pastry and bakery sector. Based on this study, the results showed that the design of the BakeHouse e-marketplace interface with the Lean UX approach was able to meet the declare assumption needs of users. After going through two iterations with design improvements, the evaluation results indicated a significant improvement compared to the first iteration. This is evidenced by the increase in score from 70 to 93 for the evaluation from MSMEs owners and a score of 67.5 to 89.5 for the evaluation from customers on the System Usability Scale assessment
Prediksi Cuaca Berdasarkan Variasi miliVolt Xylem Lannea coromandelica Menggunakan Model Artificial Neural Network Backpropagation
No full textThe rate of fluid flow in tree xylem generates an electrical potential difference (mV), which serves as a physiological indicator for monitoring plant conditions and predicting weather. This study aimed to develop a regression model based on Artificial Neural Network Backpropagation (ANN-BP) to estimate weather parameters from mV data of Lannea coromandelica. Electrical potential data were collected continuously for seven days using xylem-mounted sensors and synchronized with actual weather data, including air temperature, relative humidity, and light intensity. ANN-BP models employing three training algorithms (traingdx, traincgb, and traingd) were compared using mean squared error (MSE) as the evaluation metric. The traincgb algorithm achieved the best performance with an MSE of 3.29 × 10??. These findings demonstrate that variations in xylem electrical potential can reliably predict weather conditions in real time, supporting the development of an energy-efficient, biologically based weather monitoring system for precision agriculture and climate change mitigation
Webgis Fasilitas Kesehatan di Kabupaten Demak dengan Leaflet dan Web Mapping Interaktif Client-Side
No full textGeographic Information Systems (GIS) have become an essential tool in the planning and management of various sectors, including the health sector. This research aims to create an interactive WebGIS focused on mapping healthcare service locations in Demak Regency. Using the Leaflet JavaScript framework, this ap-plication is built with a client-side application approach, allowing data processing and map display to be performed directly in the user\u27s browser. The interactive web mapping method is applied to provide a more lively user experience, where users can easily search, filter, and obtain detailed information about hospitals, community health centers, clinics, and other healthcare facilities in the Demak area. Geographic data and attributes from healthcare facilities are collected and combined into the system for precise visualization. The result of this development is a responsive, easily accessible web application that provides appropriate spatial information for the community, local government, and related parties to support decision-making regarding access to and distribution of healthcare services in Demak Regency. This system is expected to improve efficiency in identifying and utilizing existing healthcare facilities
Wavelet-Based MFCC and CNN Framework for Automatic Detection of Cleft Speech Disorders
No full textCleft Lip and Palate (CLP) is a congenital condition that often results in atypical speech articulation, making automatic recognition of CLP speech a challenging task. This study proposes a deep learning-based classification system using Convolutional Neural Networks (CNN) and Wavelet-MFCC features to distinguish speech patterns produced by CLP individuals. Specifically, we investigate the use of two wavelet families Reverse Biorthogonal (rbio1.1) and Biorthogonal (bior1.1)—with three decomposition strategies: single-level (L1), two-level (L2), and a combined level (L1+2). Speech data were collected from 10 CLP patients, each pronouncing nine selected Indonesian words ten times, resulting in 900 utterances. The audio signals were processed using wavelet-based decomposition followed by Mel-Frequency Cepstral Coefficients (MFCC) extraction to generate time-frequency representations of speech. The resulting features were input into a CNN model and evaluated using 5-fold cross-validation. Experimental results show that the combined L1+2 decomposition yields the highest classification accuracy (92.73%), sensitivity (92.97%), and specificity (99.04%). Additionally, certain words such as “selam”, “kapak”, “baju”, “muka”, and “abu” consistently achieved recall scores above 0.94, while “lampu” and “lembab” proved more difficult to classify. The findings demonstrate that integrating multi-level wavelet decomposition with CNN significantly improves the recognition of pathological speech and offers promising potential for clinical diagnostic support
Optimizing Inter-Site Traffic Comparative Performance Analy-sis of IPSec with IKEv2 RSA-ESP and IKEv2 with PSK
No full textThis study compares the performance of IPsec VPNs using Internet Key Exchange version 2 (IKEv2) with RSA and Pre-Shared Key (PSK) authentication. The research is driven by the rising need for secure and efficient communication in distributed systems, particularly in environments with limited resources and sensitivity to latency. Guided by the PPDIOO framework, this study assesses system performance across two distinct scenarios: standard operational conditions and impaired (stressed) network environments. Key metrics include latency, jitter, throughput, packet loss, and IKE negotiation time, measured using iperf3, ping, and tc netem. The testbed uses virtual Ubuntu environments with strongSwan 5.9.13 on VMware® Workstation, simulating inter-site traffic VPNs. Under normal conditions, PSK outperforms RSA by showing lower latency (0.82 ms vs. 0.88 ms), faster IKE setup (10.05 ms vs. 20.80 ms), and higher UDP throughput. Under stressed conditions—100 ms latency, 20 ms jitter, and 1% packet loss—PSK remains more resilient, especially for real-time UDP traffic. RSA offers steady performance for TCP downloads. Statistical significance is confirmed using paired t-tests. The results suggest PSK suits lightweight deployments with minimal cryptographic demands, while RSA is better for environments requiring certificate-based security. This study provides valuable insights for network architects in selecting appropriate IPsec configurations based on specific operational requirements. Future research may explore scalability considerations, multi-user environments, and the integration with Software-Defined Wide Area Networking (SD-WAN) technologies
Development of Waste Fee Management System for Village-Owned Enterprise Using Agile Approach
No full textIn the era of digital development, effective public services are essential, one of which is in West Mejasem Village through the Spirit Mejabar Village-Owned Enterprise (BUMDes). This research focuses on developing a website-based system that makes it easier for BUMDes administrators to manage waste fees and increase transaction transparency. The system development method uses the agile process, which allows development to be done flexibly and iteratively. The phases in this research include problem identification, literature study, planning, design, development, release, and system review. This system was built using the PHP programming language, Laravel framework, and MySQL as a database. System testing was conducted using the black-box testing method, which resulted in a success value of 97.76%, indicating that the features on the system run well. In addition, the questionnaire results given to users showed a satisfaction level of 90.67%, which scored "Very Good" on a Likert scale. The result of this research is a website that facilitates BUMDes administrators in managing waste fees more efficiently, increases transparency in data management, and is a platform that introduces BUMDes and its services to the community. This system can be an effective solution for managing waste fees in West Mejasem Village and can be implemented
Enhancing Governance: Evaluating E-Government Service Quality and Recommendations for Improvement in Suket Kepuharjo Sub-District
No full textThis study evaluates the quality of e-government services in Suket Kepuharjo Sub-District using the E-GOVQUAL framework and the Importance Performance Analysis (IPA) approach. The framework includes six dimensions: ease of use, trust, functionality, reliability, content, and citizen support. Data were collected through a structured questionnaire distributed to 37 respondents, with all variables meeting validity and reliability thresholds. The results showed a mean performance score of 3.45, slightly higher than the mean importance score of 3.42, resulting in an overall average gap of +0.014. Attributes with strong performance included secure data storage (gap = +0.29), clear website structure (gap = +0.08), and help page availability (gap = +0.19). However, several critical weaknesses were identified in Quadrant I, such as user ability to navigate the website (gap = -0.38), service responsiveness (gap = -0.25), information accuracy (gap = -0.25), and application compatibility across devices (gap = -0.15). These findings indicate that while e-government services moderately meet user expectations, there remains significant room for improvement, especially in usability, responsiveness, and information reliability. The integration of E-GOVQUAL and IPA offers a comprehensive and user-centred framework to guide systematic enhancements in digital public services
Pengembangan Media Pembelajaran Interaktif Berbasis Augmented Reality untuk Klasifikasi Hewan Vertebrata dan Invertebrata Menggunakan Metode GDLC
No full textThis study introduces an innovative Augmented Reality (AR)-based learning media for teaching ani-mal classification, specifically visualizing vertebrates and invertebrates in interactive three-dimensional form. Developed using Unity 3D and Vuforia with the Game Development Life Cy-cle (GDLC) waterfall model, the application offers an engaging learning experience through mark-er-based scanning that displays 3D animal objects, instructional materials, and evaluative quizzes. The novelty of this research lies in the integration of 3D visualization and interactive learning that enables students to explore and test their understanding in real time. Functional testing using the Black Box method confirmed that all features operated correctly, while field trials involving 20 students from SD Negeri Karanggintung 04 showed a high satisfaction rate of 88.75% (strongly agree category). Fur-thermore, post-test results demonstrated a significant improvement compared to pre-test scores, with students’ performance increasing from the 2–3 range to 4–5. With its visual and interactive approach, this AR-based learning media effectively enhances student comprehension and engagement, offering a promising and innovative solution for biology education at the elementary level