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Jurnal Teknologi Terpadu
Published by STT Terpadu Nurul Fikri
ISSN : 24770043     EISSN : 24607908     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 10 No 2 (2024): Desember, 2024" : 10 Documents clear
Pengembangan Aplikasi Game Pengenalan Jenis-jenis Virus Berbasis RPG Pradana, Dwifa Yuda; Vitianingsih, Anik Vega; Cahyono, Dwi; Wikaningrum, Anggit; Wati, Seftin Fitri Ana
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1249

Abstract

The global community has been significantly affected by the COVID-19 pandemic in terms of health, education, the economy, social matters, and culture. Digital devices are increasingly being used for entertainment to combat boredom amidst restrictions on physical activity. However, this behaviour can also reduce adherence to health protocols, which can lead to high cases of COVID-19. Education about viruses is increasingly emphasized, especially for adolescents, who are a key group in preventing the spread of viral infections. Consequently, the media is required to introduce the different kinds of viruses and their survival strategies. This study aims to create an RPG-based "V-Fight" game application for virus types' exposure among teens. The research used a software development methodology that applied the Multimedia Development Life Cycle (MDLC), which consists of Concept, Design, Material Collecting, Assembly, Testing, and Distribution. The validation test conducted on 35 respondents obtained a validity level of 76.38%. This indicates that the tested game has sufficient criteria to be considered a practical learning tool.
Transformasi Pelayanan Masyarakat melalui Website Kampung Malasigit sebagai Inovasi Berbasis TI Rumetna, Matheus Supriyanto; Hetharia, Charliany
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1393

Abstract

Malasigit Village is improving in terms of development and community services. The dissemination of information is still a significant problem; the information provided sometimes needs to reach the community. For example, health services related to the village community still need to be more efficient because sometimes the information provided by the assistant health center regarding health checks does not reach the village community. Another problem is related to the community's agricultural products; the condition that occurs is that agricultural products must be taken to be sold to the city, which is ± 30 km away and the understanding of village officials in the IT field, namely the use of computer devices and their applications. For this reason, village development is needed through IT, in this case, a website-based village information system to help village officials deliver transparent and efficient village information, providing service facilities/containers for farmers to promote their agricultural products to improve community services. This study uses the Waterfall method, website modelling using case diagrams and activity diagrams, which produce a home menu, profile, structure, facilities, news, information, gallery and contact.
Rancang Bangun Website Kampung Batu Lubang Pantai sebagai Destinasi Wisata dan Sarana Promosi Pariwisata Lina, Tirsa Ninia; Pormes, Frenny Silvia
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1416

Abstract

Kampung Batu Lubang Pantai is located in Makbon District, Sorong Regency, and is part of the marine tourism area in Southwest Papua. So far, tourists/visitors are primarily familiar with Tanjung Batu Lubang tourism, even though there are many other tourism potentials, such as beach tourism (Bainggik Beach, Bainggik Tengah, Klaswonik, Pasir Pendek, Kladimala, Tanjung Batu Lubang, Pasir Timbul), cultural attractions (A’len dance, Srar dance, Suling Tambur, traditional Moi Tribe houses), religious sites (Gospel Monument, Hill of the Cross), and local wisdom products (noken Banto, kal’uk head covers, kal’dala, kal’lagi, noken kwok ou ukisik, mats). This lack of awareness is due to the insufficient and incomplete dissemination of information, as well as the community’s limited understanding of IT utilization. The purpose of this research is to design and build a website for Kampung Batu Lubang Pantai to assist in spreading information related to village activities and tourist destinations, serving as a tourism promotion tool that can ultimately improve the welfare and economy of the community. The system development method uses the Waterfall model, which includes requirements, design, implementation, verification, and maintenance stages. The applications used include Balsamiq Mockups, draw.io, and Bracket Editor. The result of the research is a village website consisting of menus such as Beranda, Profil, Pemerintahan, Informasi, Galeri, Potensi, and Kontak. System testing using Black Box Testing showed that the menu functions were working well so that it could be handed over to the village.
Rencana Strategis Transformasi Teknologi Informasi pada Industri Kelapa Sawit Menggunakan Framework Zachman Solihin, Indra Permana; Triwahyono, Bambang; Wibisono, Mohamad Bayu; Munir, Sirojul
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1417

Abstract

This research aims to design and implement an effective Information Technology (IT) Transformation Strategic Plan to increase national palm oil productivity in the palm oil industry. IT strategies will be developed using the Zachman Framework, considering architectural aspects and business perspectives. This research was carried out from February to October 2024 at UPNVJ’s Data Science laboratory and company facilities in Jakarta and Central Kalimantan. This research contributes to integrating the Zachman Framework with a specific information technology transformation approach for the palm oil industry, which has not been widely applied in the previous literature. The implementation step involves an in-depth analysis of business needs and processes and the development of appropriate IT solutions. The research results are expected to result in significant transformations in palm oil industry operations, such as increased productivity, efficiency, and adaptation to market changes. The study also considers architectural dimensions and business perspectives in implementing effective IT solutions. Cooperation with key stakeholders, including palm oil producers, suppliers, and consumers, is highly valued. This study’s results are expected to guide other industries and the government in formulating policies supporting IT transformation in the national palm oil industry sector.
Identifikasi Penyakit Daun pada Tanaman Solanaceae dan Rosaceae Menggunakan Deep Learning Faqih, Allan Bil; Avianto, Donny
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1440

Abstract

With a projected global population of 9.7 billion by 2050, agriculture faces significant challenges in ensuring food security. One major obstacle is plant diseases that reduce crop yields by 40% per year. Previous research is often limited to disease detection in a single plant species, thus poorly reflecting multi-species needs in real agricultural practices. This research aims to develop and evaluate deep learning-based plant disease detection system using Convolutional Neural Networks (CNN) applied to two plant families, Solanaceae and Rosaceae. The dataset used was PlantVillage, containing 54,306 leaf images in JPEG format downloaded from GitHub, with data outside two families discarded during pre-processing. Three deep learning models were tested: transfer learning with InceptionV3 architecture and two custom CNNs (DFE and LCNN). LCNN model showed the best performance with training, validation, and testing accuracies of 99%, 99%, and 95%, respectively. In contrast, InceptionV3 achieved 96% training, 98% validation, and 92% testing accuracy, while DFE with 86% training, 94% validation, and 82% testing accuracy. Confusion matrix analysis showed difficulty distinguishing between healthy potatoes and potatoes with late blight, as well as cedar apple rust. These results highlights importance of developing specific model architectures rather than complex models for accurate multi-crop disease detection.
Klasifikasi Motif Batik Yogyakarta Menggunakan Metode GLCM dan CNN Dani, Ananda Rizki; Handayani, Irma
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1451

Abstract

Yogyakarta batik motifs represent Indonesia’s cultural heritage, but automatic classification remains challenging. This study develops a Yogyakarta batik motif classification system using a combination of the Gray Level Co-occurrence Matrix (GLCM) for texture feature extraction and Convolutional Neural Network (CNN) based on MobileNetV2 for image classification. GLCM was chosen for its ability to extract detailed texture features, while MobileNetV2 was used for its efficiency in visual pattern recognition with minimal computational resources. The dataset consists of 3,223 images from five batik motifs: Batik Ceplok, Batik Kawung, Batik Truntum, Batik Parang, and Batik Ciptoning, sourced from the Batik Keraton Museum Yogyakarta and Kaggle. The model achieved 99% accuracy, demonstrating the effectiveness of the approach in recognizing complex batik patterns. The results suggest that this system can be implemented into a mobile application with a client-server architecture for automatic motif detection. Despite promising results, the study is limited by dataset size and the complexity of specific motifs. Future research should expand the dataset and explore data augmentation techniques to improve classification accuracy for more complex motifs.
Analisis Faktor Kesuksesan E-Learning dalam Meningkatkan Kualitas Belajar Mengajar di Kota Batam Firmansyah, Muhamad Dody; Melati, Dini Sari
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1452

Abstract

Technology has had a significant impact on various aspects of human life, one of which is education through the implementation of e-learning as a modern learning solution. Technology makes the teaching and learning process easier thereby improving the quality of teaching and learning. The presence of the COVID-19 pandemic has also accelerated the transition of education to e-learning, although not all countries are fully prepared to implement it. This is also the case in Batam City, which has implemented e-learning in a number of schools and universities with support from academics and the local Education Office. The presence of e-learning offers learning flexibility but also presents challenges, such as learner dissatisfaction that affects low learning motivation. Therefore, this study aims to analyze the factors affecting e-learning user satisfaction among students with the research target of students in Batam City. The research was conducted using quantitative method and processed using SPSS. The results stated that e-learning satisfaction is influenced by system quality, internet quality, information quality and service quality.  Therefore, to optimize the satisfaction of e-learning users must pay attention to these four factors.
Implementasi Teknologi Augmented Reality dalam Sains berbasis Android dengan Kartu Interaktif Aminudin, Nur; Mutmainah, Mutmainah; A, Afnan Zalfa Salsabila
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1478

Abstract

Significant changes in education have resulted from the advancement of information technology, particularly in the area of abstract science teaching. Android-based Augmented Reality (AR) technology using interactive cards as educational materials is one possible breakthrough. Through interactive visualizations that enable in-depth subject analysis, this project seeks to increase student comprehension and engagement. The ASSURE model served as the basis for the research and development (R&D) methodology used in the study. Learning needs and technology are integrated in this paradigm, which consists of the following steps: Analyze Learners, State Objectives, Select Media and Materials, Utilize Media and Materials, Require Learner Participation, and Evaluate and Revise. Data were collected during a four-week observation period using pretest and posttest tests. An n-gain of 0.71 (high category) in the experimental class and 0.47 (moderate category) in the control class indicated a substantial increase, according to paired sample t-test analysis. The primary distinction was that the control class had less access to AR devices. The findings demonstrated that AR increased student comprehension and involvement. However, obstacles included infrastructural needs and sample limits. To investigate AR's efficacy on a broader scale and its influence on long-term learning results, more research is advised.
Implementasi Metode Case-Based Reasoning (CBR) dalam Sistem Pakar untuk Mendapatkan Diagnosis Anxiety Disorders Gunung, Tar Muhammad Raja; Lubis, Siti Sahara; Siregar, Manutur; Simanjuntak, Peter Jaya Negara; Jinan, Abwabul
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1480

Abstract

This research aims to develop an expert system based on the case-based reasoning method for diagnosing anxiety disorders. Anxiety Disorder is a mental health disorder that is often experienced by the public but is often not detected correctly. The case-based reasoning method was chosen because of its ability to utilise previous cases to solve new problems that have similarities. Case-based reasoning uses four main stages: retrieval, reuse, revise, and retain. The case-based reasoning method is implemented using case data obtained from psychology clinics and interviews with mental health experts. Testing the case-based reasoning method shows a high level of accuracy in diagnosing various types of Anxiety Disorders, such as Generalised Anxiety Disorder, Panic Disorder, and Specific Phobias. The results of this study show that the case-based reasoning method can be an effective tool in helping mental health professionals diagnose Anxiety Disorders more quickly and accurately. After searching using the symptoms obtained, the percentage of each type of disease is the percentage of Generalised Anxiety Disorder 35.7%, the percentage of Panic Disorder 30.7%, and the percentage of Specific Phobias 65%.
Implementasi Metode Double Exponential Smoothing untuk Sistem Peramalan Penjualan Alat Musik Ilham, Mohammad Akbar; Achmadi, Sentot; Sari, Karina Aulia
Jurnal Teknologi Terpadu Vol 10 No 2 (2024): Desember, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i2.1490

Abstract

EMC-Emmanuel Music Centre is a company that sells musical instruments and sound systems with the aim of advancing music and professional audio in Indonesia. This research aims to forecast the monthly sales of musical instruments to better manage sales data and develop more efficient sales strategies. The method used is Double Exponential Smoothing, a forecasting technique in data mining. The research subjects were the company's musical instrument sales data, with a population covering all sales transactions from January 2022 to January 2024. The sample was selected using purposive sampling, focusing on transaction data of top-selling products. Data was collected through interviews, direct observations of the sales process, and review of marketing strategy documents. The results show that the Double Exponential Smoothing method produces forecasts with an average MAE of 8.12%, categorized as very good. This study recommends using forecast results for inventory management and adjusting seasonal marketing strategies to improve efficiency. The results indicate that an alpha  of 0.1 provides better accuracy with an MAE of 17.08, compared to an alpha  of 0.2 with an MAE of 19.08. Therefore, an alpha  of 0.1 is recommended for improving the forecasting accuracy.

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