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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 296 Documents
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Media Pembelajaran Hewan Penghasil Listrik dengan Pemanfaatan Teknologi Augmented Reality untuk Siswa SMP Miftahul Madani; Hendri Hamzanwadi; Melati Rosanensi; Danang Tejo Kumoro
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 1 (2024): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.510

Abstract

Augmented reality technology is a virtual object that can provide information to help users carry out work related to this technology. The learning process applied to students at SMPN 1 Praya Tengah with the theme of introducing electricity-producing animals with a learning method using printed books and verbal explanations using a whiteboard as a learning medium so that students cannot see pictures of electricity-producing animals. This research is aimed at producing more interactive learning media in introducing electricity-producing animals by using augmented re-ality technology at SMPN 1 Praya Tengah to increase interest in learning. The methodology used is the MDLC method which uses 6 stages, namely the concept, design, material collection, manu-facturing, testing and distribution stages which are implemented in learning media. The results obtained are interactive learning media on how to recognize electricity-producing animals using augmented reality which can be run on desktop-based computers. The conclusion obtained from this research is that the application of a learning media application to introduce electrici-ty-producing animals using augmented reality technology for students at SMPN 1 Praya Tengah can help students learn about electricity-producing animals in real time or in the form of 3-dimensional objects and animations. The test results used a test scale, namely a Likert scale with a value of 45.25 which can be categorized as Strongly Agree.
Penerapan Langchain Retriever dengan Model Chat Openai dalam Pengembangan Sistem Chatbot Hadis Berbasis Telegram Niken Aisyah Maharani Herwanza; Nazruddin Safaat Harahap; Febi Yanto; Fitri Insani
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 1 (2024): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.514

Abstract

In Islamic studies, the Hadiths of Prophet Muhammad (SAW) hold significant value as guides for behavior and faith. However, access to understanding Hadiths often presents challenges, espe-cially for those who are not Hadith experts. The digitalization of Hadiths is still limited, making it time-consuming to find answers by sifting through the vast amount of available information. This research aims to create an efficient chatbot that provides answers related to Hadiths, including the original sources, quickly. The proposed solution is a technology-based approach through the development of a Hadith chatbot on Telegram, integrated with the LangChain Retriever and the GPT-4-1106-preview chat model from OpenAI. Using LangChain Retriever helps the chatbot find accurate answers by matching user questions with relevant Hadith databases, enhancing the ac-curacy of the chatbot's responses. The GPT-4-1106-preview chat model enables the chatbot to generate natural and context-appropriate responses, improving user interaction. The Rapid Ap-plication Development (RAD) method is applied in system development, through stages of Re-quirement Planning, User Design, Construction, and Cut-Over, including data analysis of Hadiths from the Nine Imam Hadith Books, totaling 62,169 Hadiths. The chatbot's performance evaluation uses the Scoring Evaluator framework with an average evaluation score of 0.97 and quality answer evaluation testing by five Hadith experts with an accuracy percentage of 90%. The Scoring Eval-uator test results indicate that the responses are highly accurate and aligned with Hadith refer-ences, and the quality answer evaluation test on a Likert scale shows respondents strongly agree with the system's answers. This research contributes to laypersons wanting to learn Hadiths by utilizing the chatbot as an interactive and innovative learning medium. Further research can expand the focus to complex interpretations of Musykil al-Hadith and asbab al-wurud to address deeper questions about Hadith interpretation.
Penerapan Desain UI/UX dalam Pengembangan Aplikasi Administrasi Keuangan Logistik untuk Efisiensi Operasional di PT Prima Cipta Express dengan Metode Design Thinking Teguh Satriyo; Jeffri Alfa Razaq
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.520

Abstract

In the current digital era, information technology and software applications are important for increasing operational efficiency in the business world, especially in the fields of logistics and financial management. Ineffective management of logistics financial administration can result in increased costs, delays in delivery, and even inaccuracies in financial reports. Therefore, this research was conducted with the aim of overcoming operational efficiency challenges for PT Prima Cipta Express. One approach that can be taken to overcome this challenge is to apply the Design Thinking method which includes the Empathize, Define, Ideate, Prototype and Test stages. At the testing stage, this research uses usability testing and SUS (System Usability Scale) calculations which are useful for testing prototype usability. This research, testing involved a prototype user experience using Task Scenario. Usability test results according to the System Usability Scale (SUS) calculations reached 86, which is at a good level (grade B) and is included in the "Excellent" category. These results indicate that users positively evaluate the ease of use of the application. Referring to the average SUS score of 68, it can be concluded that this application design is well received by users and is suitable for use.
Analisis Kinerja Logistic Regression Classifier Berdasarkan Seleksi Fitur Warna, GLCM (Gray Level Co-occurrence Matrix) dan Bentuk (Studi Kasus Jenis Ketupat Khas Bali) Luh Putu Risma Noviana; I Nyoman Bagus Suweta Nugraha
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.521

Abstract

Ketupat is a unique culture and tradition in Bali. Ketupat is often used as a banten offering. This unique procession of the ketupat war is held once a year to coincide with the Purnama Kapat. The ketupat war is a traditional event with participants throwing ketupat at each other. It aims to be grateful for all the gifts that the Creator has given to humans in this world. This tradition has existed since the 1970s with the beginning of its appearance involving two shirtless men. The ketupat war ceremony is part of the yadnya as the basis for the return of the Tri Rna. In today's era of the development of science and technology, people are only focused on meeting material needs, understanding the meaning of rituals and religious events is decreasing, and it is considered an incriminating or even meaningless activity. In this study, a dataset of 90 was used with 18 types of ketupat used, namely: bagia, batu dam-pulan, bracelet, kale, mattress, kedis, kepel, kroso, lepet, pengambean, sai, cow, sari, sirikan, suna, tulud, tumpeng. This study aims to determine the per-formance of Logistic Regression Classifier by using color, HSV, GLCM and shape features. The dataset used is a typical Balinese ketupat type of 90 data. In this test, 4 test scenarios are used: 1) The first test scenario, the dataset input performs the preprocessing process, HSV imagery, and the color feature extraction process where the output results are in the form of hue, saturation and value values in the form of excel files. 2) The second test scenario, the input dataset performs a preprocessing process, grayscale, and performs the GLCM feature extraction process where the output results are in the form of feature values of angle 00, angle 450, angle 900 and angle 1350 in the form of an excel file. 3) The third test scenario, the dataset input performs the preprocessing process, binner, performs the form feature extraction process where the output results are in the form of metric, eccentricity in the form of excel files. 4) The fourth test scenario, from the 3 (three) feature extractions carried out, the new dataset, the next stage is to implement the Logistic Re-gression classifier method to obtain accuracy values. Based on the results of the classification, testing and analysis, the level of accuracy from each of them was obtained with a training accuracy value of 69.84% and a testing accuracy of 22.2%, which means that the classification method was declared ineffective in analyzing the features used in the ketupat classification, so it is necessary to compare it with other methods so that it gets an accuracy result above 90%.
Implementasi SNA dalam Menilai Popularitas Platform Pemesanan Makanan Online Berbasis Percakapan Twitter Adriyansyah Juri Setyo Wibowo; Setyawan Wibisono
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.522

Abstract

This research aims to understand the popularity of online food ordering platforms in Indonesia, although the data taken in Indonesian includes allied languages. This research combines the SWARA, WASPAS, and Social Network Analysis (SNA) approaches to achieve its objectives. The problem formulation proposed is how to measure and analyze the popularity of online food ordering platforms based on interaction data on Twitter social media. The SWARA method is used to determine the weight of the evaluation criteria, while WASPAS is applied to rank online food ordering platforms. Meanwhile, SNA is applied to analyze interaction patterns and user preferences for various online food ordering platforms. Twitter was chosen as the main data source because it provides direct conversation data and real depictions, allowing for in-depth and accurate analysis. Through Twitter, research can capture the dynamics of user interactions and how they communicate about various online food ordering platforms. This research aims to provide a strong foundation for decision makers in designing more effective marketing strategies and provide insight into the dynamics of competition in the online food ordering platform industry. The research results show that SNA-based analysis is able to clearly identify interaction patterns and user preferences.
Aplikasi Edukasi Pengenalan Bahasa Arab Berbasis Augmented Reality Studi Kasus : Madrasah Ardhal-Haq Ibnu Sani Wijaya; Gilang Ramadhan; Masgo Masgo
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.v6i3.523

Abstract

The field of education is witnessing rapid developments in information technology, with aug-mented reality (AR) emerging as a promising tool for multi-media learning, including Arabic language recognition. Among the Semitic language families, Arabic has the largest number of speakers. Arabic is the sentence that Arabs use to express their intentions and purposes. The form is in the form of hijaiyah letters that are used by Arabs for oral and written social interaction and communication. Madrasah diniyah takmiliyah ardal-haq is located on the main road of pematang moss, betara sub-district, West Tan-jung Jabung district, Jambi Province as one of the elementary schools, at the Ardhal-haq Madrasah, the way of delivering learning is still using simple methods, using books that do not have pictures. it is known that in general students and female students feel bored with Arabic language teaching offered by educational institutions, because students face challenges in understanding written language, including phonetics and syntax. The author chooses to use the MDLC (Multimedia Development Life Cycle) method to conduct research by creating Augmented Reality-based educational applications for Arabic language teaching. This method can be applied to system development in multimedia applications and its stages can be changed based on the research needs, which is why the author used it for system development. The purpose of this research is to facilitate the mastery of Arabic language by students and support instructors of Ardhal-Haq Madrasah in their classroom teaching. With this research produces an Augmented Reality-based Arabic language introduction educational application.
Aplikasi Multiplatform Sayur Kita untuk Meningkatkan Efisiensi Pedagang Pasar Bima Aprie Yudha; Saeful Anas Fitri Antopo; Neng Linda Badratul Laela
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.524

Abstract

Markets are an essential part of the economic ecosystem, often facing various challenges for traders. One of the issues they encounter is the limited time for conducting transactions with both consumers and suppliers. This condition significantly impacts business performance and the quality of stock, influenced by various factors such as weather, time constraints, and the shipping process. This research aims to determine and analyze the development of applications that make buying and selling easier between traders and suppliers online, which can be accessed at any time. This application is integrated into various platforms, both via mobile and web, to enable traders to carry out transactions quickly, effectively and efficiently in terms of time, ef-fort and cost. Apart from that, this research is to facilitate transactions between market traders and suppliers, as well as expand the reach of online markets, especially regarding time con-straints and stock availability. By adopting an integrated multiplatform application develop-ment approach, this research aims to facilitate transactions between market traders and suppli-ers, as well as expand the market reach online, particularly addressing time limitations and stock availability. The development method used is the Waterfall method, which includes re-quirements analysis, system design, implementation, testing, and maintenance. The result of this research is an application called "Sayur Kita," a cross-platform application that helps traders con-duct transactions quickly and efficiently through mobile and web platforms, usable on various devices. Testing was conducted using the black box method, and the results showed that all fea-tures operated as expected. Therefore, this application can help improve the efficiency of market traders in conducting transactions with suppliers and traders online.
Arsitektur Sistem Informasi Rehabilitasi dan Rekonstruksi Rumah Terkena Dampak Gempa Menggunakan Framework Togaf Sirajunnasihin Sirajunnasihin; Hendra Setiawan
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.v6i3.540

Abstract

The study focuses on the impact of the 2018 earthquake in the Province of West Nusa Tenggara, particularly the extensive damage to hundreds of thousands of houses. It aims to assess the initial phase of post-earthquake housing rehabilitation and reconstruction activities and seeks to enhance their efficiency and effectiveness. One of the main issues identified is the absence of an integrated information system to facilitate data management and coordination among relevant agencies, often leading to errors and delays in implementing activities. To address this, the research utilizes the TOGAF ADM Framework as an architectural design method, providing detailed guidelines for creating a flexible and adaptable information system architecture. Data is collected through in-terviews, document studies, and literature reviews. The research delves into the vision and mis-sion, regulations, and guidelines pertaining to the rehabilitation and reconstruction process, as well as an analysis of the current business processes and assets owned by the BPBD of the Province of West Nusa Tenggara. The expected outcome is the development of an information system ar-chitecture that can overcome obstacles in rehabilitation and reconstruction activities, resulting in a more effective and efficient process. Moreover, it aims to enhance coordination and resource uti-lization. Ultimately, the study concludes that implementing a TOGAF ADM-based information system architecture can offer a comprehensive solution to the challenges encountered in post-earthquake housing rehabilitation and reconstruction. This resulting integrated and opti-mized system is expected to serve as a valuable reference for relevant agencies in other provinces facing similar situations in the future.
Sistem Informasi Persediaan Barang dengan Metode Perpetual pada Toko Mebel Sidarta Berbasis Web Rizqi Saputra; Sri Sumarlinda; Wijiyanto Wijiyanto
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.544

Abstract

Inventory of goods is an important component in company operations, especially for companies that sell finished goods such as furniture and household electronics. The aim of this research project is to create a goods management website using the Perpetual method at the Sidarta Furniture Store. Previously, this shop used manual recording through physical bookkeeping which was considered inefficient, prone to errors, and could hinder sales. To optimize inventory management, an in-tegrated system is needed. This system development uses the waterfall method, which consists of five stages, namely needs analysis, design, implementation, testing and maintenance. During the requirements analysis step, functional and non-functional system requirements are defined. System design involves developing use case diagrams, database design, and user interface design. The system is implemented using PHP as a programming language, CodeIgniter as a framework, and MySQL for database management. The black box testing method is used to carry out the system testing process, which ensures that all functionality operates according to predetermined speci-fications. The results of the tests carried out show that all system functionality functions in ac-cordance with the designed specifications. System maintenance, which is the final stage of the development cycle, is carried out periodically for the long-term sustainability of system opera-tions. This developed system allows the Sidarta Furniture Store to manage inventory data more efficiently and effectively by utilizing the perpetual method. This system is equipped with various features, including an inventory data management interface, supplier data management interface, purchase transaction recording interface, sales transaction recording interface, and the ability to produce comprehensive inventory recapitulation reports. Implementation of this system facili-tates the process of managing and updating inventory data more efficiently and accurately.
Features Extraction on Cleft Lip Speech Signal using Discrete Wavelet Transformation Siti Agrippina Alodia Yusuf; Muhammad Imam Dinata
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.545

Abstract

Cleft is one of the most common birth defects worldwide, including in Indonesia. In Indonesia, there are 1,596 cleft patients, with 50.53% having a cleft lip and palate (CL/P), 24.42% having a cleft lip (CL), and 25.05% having a cleft palate (CP). Individuals with clefts encounter difficulties with resonance and articulation during communication due to dysfunctions in the oral and nasal cavi-ties. This study investigates various types of mother wavelets as feature extractors for cleft speech signals. Five different mother wavelets, namely Symlet order 2, Reverse Biorthogonal order 1.1, Discrete Meyer, Coiflet order 1, and Biorthogonal order 1.1 are analyzed. This work aims to find the best type of mother wavelet. The extracted features are statistical features, such as mean, me-dian, standard deviation, kurtosis, and skewness. The dataset used in this study consists of 200 sound signals from 10 individuals with cleft conditions and 10 normal volunteers. To assess the performance of the extractor, classification is performed using K-Nearest Neighbor (KNN) and K-Fold cross-validation. The experimental results indicate that the Reverse Biorthogonal order 1.1 mother wavelet achieves the highest accuracy compared to other types of mother wavelet, where the accuracy is 93%, with sensitivity and specificity of 94% and 92%, respectively.

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