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Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
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Articles 15 Documents
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Search results for , issue "Vol. 6 No. 3 (2024): November" : 15 Documents clear
Peningkatan Pengalaman Calon Wisatawan dengan Aplikasi Augmented Reality di Taman Hutan Raya Mangrove Ngurah Rai Bali dengan Metode RAD (Rapid Application Development) Kadek Surya Adi Saputra; Wayan Andrika Putera; Ni Putu Jois Tika Dewi
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.595

Abstract

The advancement of technology today provides an opportunity to develop more effective media for information and promotion. One of the popular technologies is Augmented Reality (AR), which has the potential to offer interactive information and innovative promotion in the tourism sector. This study focuses on developing an AR application for the Ngurah Rai Mangrove Forest Park (Tahura) in Bali, which until now has been promoted conventionally with limited reach. This application is designed to enhance user experience in interacting with information related to tourism destinations through AR technology while also promoting Tahura Mangrove to a broader audience. The system was developed using the RAD (Rapid Application Development) method, which includes the following stages: 1) Requirements Planning, 2) System Design, 3) Development, and 4) Implementation. Blackbox testing was conducted to evaluate system functionality, while the System Usability Scale (SUS) test involving 30 participants assessed the user experience aspects of the application. The test results showed a SUS score of 76%, indicating a good level of acceptance and satisfaction. Additionally, there was a 74% increase in prospective tourists' understanding of the destination after using the application compared to before. With these results, the AR application for Ngurah Rai Mangrove Forest Park is expected to become an innovative medium to introduce mangrove ecotourism and increase public and tourist interest in visiting.
Node-RED dan Robotik pada Sistem Penyiraman Otomatis berbasis IoT Wahyu Kurnia Dewanto; Aji seto Arifianto; Hariyono Rakhmad; Hermawan Arief Putranto; Muhammad Hafidh Firmansyah
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.609

Abstract

The Internet of Things (IoT) technology offers great potential in the agricultural sector, especially in the automation of plant irrigation systems. Many farmers face challenges with water use efficiency and real-time land condition monitoring. Manual irrigation systems often lead to water wastage. Currently, many centralized irrigation systems use a one-by-one watering approach, requiring multiple sensors to monitor each plant's condition, making them less efficient. To address this issue, this research developed an automated irrigation system controlled by Node-RED and robotic technology. The system is designed to require only one sensor to monitor the entire agricultural area, while still efficiently distributing water to many plants. Node-RED manages data from soil moisture and environmental temperature sensors, then activates the watering robot to distribute water according to the plants' needs. The system was tested by comparing manual and automatic methods using polybags. The soil moisture sensor sends data to Node-RED, which activates the watering robot when soil moisture falls below a set threshold. Test results show that the automated system can save up to 20% of water usage compared to manual methods, while keeping soil moisture within the optimal range. This system also enables real-time monitoring and control, providing a more efficient, timely, and resource-saving solution.
Reka Cipta Brand UI/UX Program Studi Desain Komunikasi Visual menggunakan Metode Design Thinking Hasbullah Hasbullah; Andi Sofyan Anas; Deni Rahman
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.610

Abstract

The Visual Communication Design Study Program at Universitas Bumigora currently utilizes various digital platforms such as the website, Instagram, YouTube, and Facebook. However, branding across these platforms shows inconsistencies and insufficient interactivity between users and the system. This research aims to design a cohesive UI/UX solution for the Visual Communication Design Study Program by applying a design thinking approach, which includes stages of empathy, definition, ideation, prototyping, and testing. The study is grounded in interaction aesthetics theory, used to identify user needs and develop innovative, responsive design solutions. The results indicate that the new UI/UX design significantly improves user satisfaction and visual communication effectiveness. The resulting interface concept is more intuitive, with additional interactive features that support a more integrated user experience and more accurately reflect the institution's identity. This study makes a significant contribution to user-centered design approaches in academic environments and offers a model that can be applied to branding development in other educational institutions. The novelty of this research lies in the deep integration of UI/UX design principles within a specific academic context, providing more effective and representative solutions for institutional branding needs.
Optimalisasi Layanan Kesehatan di Puskesmas Melalui Pengembangan Chatbot Berbasis Web Menggunakan Flowise AI Mulyawan Mulyawan; Raditya Danar Dana; Agus Bahtiar; Irfan Ali
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.617

Abstract

The development of a web-based chatbot service for Puskesmas presents a potential solution to improve the accessibility and efficiency of healthcare services. This research uses Flowise AI, a chatbot development platform that leverages machine learning technology to support dynamic information processing and provide accurate and relevant responses to users. Flowise AI is integrated with Langchain Retriever to further enhance dynamic information processing, ensuring accurate and relevant responses to users. Using the Rapid Application Development (RAD) methodology, the chatbot development follows a fast-paced cycle, enabling early prototyping and continuous user feedback. The chatbot is tested using Black Box Testing to verify functionality and System Usability Scale (SUS) to evaluate usability. The test results show that the chatbot is able to provide accurate responses to patient queries, especially on relevant health topics, with an SUS score of 75, which falls within the "good" category. This score reflects that the chatbot is easy to use and acceptable to users. This technology allows the chatbot to provide more accurate, relevant, and contextual responses to patient inquiries, while dynamically accessing information from various sources, thereby improving the efficiency and effectiveness of healthcare services.
Klasifikasi Aksara Sasak Menggunakan Convolutional Neural Networks (CNN) Elga Alfariza; Dicksa Ananda Christian Tue; Andi Sofyan Anas; Muhammad Tajuddin; Ahmat Adil
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.623

Abstract

Sasak script is an important cultural heritage for the people of Lombok, but its use is decreasing along with the development of digital technology. This study aims to develop a classification system for Sasak script handwriting using Convolutional Neural Networks (CNN) to improve the accuracy of character recognition. The dataset used consists of handwritten images of 18 basic Sasak script characters collected from 50 volunteers with various writing styles. The methods applied include data preprocessing, augmentation, and training a CNN model with an architecture consisting of several convolutional and pooling layers. The results showed that the model achieved a validation accuracy of 92%, an average precision of 0.91, a recall of 0.89, and an F1-score of 0.90, indicating excellent performance in recognizing Sasak script characters. The conclusion of this study is that the developed system is not only effective in character recognition, but can also function as an interactive learning tool, supporting efforts to preserve Sasak script in the digital era. This research opens up opportunities for further development in the introduction of other traditional scripts.

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