UMA - Open Access Journals (Universitas Medan Area)
Not a member yet
5228 research outputs found
Sort by
Strategi Kerjasama Zeni Nubika TNI AD Dalam Penyelenggaraan Dekontaminasi Dan Evakuasi Nubika Pada Penanganan Covid-19 Tahun 2020 S.D 2023
Get PDFPandemi COVID-19 telah memicu kebutuhan strategis dalam penanganan dan evakuasi bahan nuklir (Nubika) di Indonesia. Zeni Nubika Tentara Nasional Indonesia Angkatan Darat (TNI AD) telah berperan aktif dalam upaya penanganan ini melalui kerjasama dengan instansi terkait seperti unsur dari Satgas Covid-19, unsur dari Kementerian Kesehatan, Palang Merah Indonesia (PMI), Badan Pengawas Tenaga Nuklir (BAPETEN), Badan Tenaga Atom Nasional, BATAN, dan Balai Penelitian Veterine (BALITVET). Penelitian ini bertujuan untuk menganalisis strategi kerjasama Pusdik Zeni TNI-AD dengan instansi terkait dalam penyelenggaraan dekontaminsasi dan evakuasi Nubika selama penanganan COVID-19 tahun 2020 s.d 2023. Penelitian kualitatif ini menggunakan metode analisis kasus untuk memahami dinamika kerjasama antara Pusdik Zeni TNI-AD dan instansi terkait. Data dikumpulkan melalui wawancara dengan para ahli dan partisipan langsung dalam kegiatan penanganan COVID-19. Hasil penelitian menunjukkan bahwa kerjasama antara Zeni Nubika TNI AD dan instansi terkait telah meningkatkan kesiapan dan efisiensi dalam penanganan dan evakuasi Nubika. Strategi yang efektif meliputi pelatihan berkelanjutan, pengembangan sistem keamanan, dan koordinasi yang intensif antarinstansi
Kajian Arsitektur Bioklimatik pada One East Surabaya
Get PDFAt this time the population is increasing, along with this the needs of society are also increasing. The community is starting to carry out various kinds of development to meet these needs, one of which is in the residential sector, namely apartments. Apartments are the choice of urban communities as a place to live because of their strategic location and offering various facilities. As a place to live, apartments need to prioritize comfort in order to improve the quality of life of their users. Bioclimatic architecture is a concept for creating a building that responds to the surrounding climate so that there is a balance between humans and the environment. The design principle of bioclimatic architecture is to prioritize climate adjustment to achieve energy efficiency and thermal comfort. This research examines the concept of bioclimatic architecture by taking the One East Surabaya Apartment as an object. This research uses a qualitative descriptive method with secondary data collection through sources in the form of literature studies. The aim of this research is to identify and provide insight regarding the application of the concept of bioclimatic architecture based on aspects of the principles of bioclimatic architecture in apartment buildings. From the results of this research, it was found that the One East Surabaya Apartment has met bioclimatic building standards obtained from the transition space/balcony, relationship to the landscape, design on the walls and the use of passive shading tools
Studi Implementasi Eco Friendly Architecture pada Trihita Alam Eco School Bali
Get PDFEnvironment-based education is an educational method that makes nature the centre of interactive and hands-on learning. This approach aims to make students more aware of the importance of understanding the condition and potential of nature which is an important part of human life that is always in contact with nature. Trihita Alam Eco School Bali is a school that emphasises a nature education approach or holistic education that aims not only to develop students' academic intelligence, but also to teach them to appreciate and care for the surrounding environment and strengthen their relationship with nature. This research aims to examine how the application of Eco Friendly Architecture at Trihita Alam Eco School Bali can reduce negative impacts on the environment. The research method used is qualitative method. Qualitative research methods can provide deep insights into the experiences, perceptions, and impacts of using sustainable architecture. The results of the study highlighted that this school promotes an environmentally friendly lifestyle, including in the infrastructure of the school building which is made from natural materials and is environmentally friendly. In conclusion, the application of Eco-Friendly Architecture at Trihita Alam Eco School Bali not only builds a healthy and comfortable learning environment for students, but actively contributes to environmental conservation and fosters environmental awareness among students, teaching staff, and the surrounding community
Dark Personality: Adaptation of the Short Dark Tetrad (SD4) Measurement Tool
Get PDFThis study aimed to adapt the Short Dark Tetrad (SD4) instrument into Indonesian and evaluate its construct relevance and internal consistency. The SD4, which measures Machiavellianism, narcissism, psychopathy, and sadism, is an important tool for understanding dark personality traits. The adaptation was guided by the conceptual framework of Paulus et al. Data were collected through an online platform provided by PT Nirmala Satya Development (NSD), and model fit, and item performance were examined. The results indicated that the model demonstrated acceptable fit, with RMSEA, SRMR, and GFI values falling within appropriate ranges, although CFI and TLI values were slightly below the ideal thresholds. Internal consistency was strong, with reliability coefficients suggesting the instrument measured the intended traits reliably. Most items showed adequate representation of their respective dimensions. These findings support the use of the Indonesian version of SD4 in personality research. However, further research is recommended to refine the model and examine its applicability across different populations and cultural contexts
Innovative Tourism Sustainability: Case Study of Three Thematic Villages in Semarang City
Get PDFThis study aims to identify supporting and inhibiting factors for the sustainability of thematic villages as one of the innovative tourism implementation programs in Semarang City. This study is qualitative. Data were collected through interviews with thematic village managers in Semarang City. This study was conducted in three thematic villages selected because of their categories as leading thematic villages with different products and representing various areas in Semarang City. Content analysis was used as an analysis technique in this study. The findings of this study indicate that several factors can support or inhibit the sustainability of thematic villages in Semarang City after the COVID-19 pandemic. Some of these supporting factors include the role of the community (i), informal networks (ii), Government assistance (iii), utilization of technology (iv), the ability to create new job opportunities (v), and product innovation/expansion (vi). In addition, several factors that can inhibit the sustainability of thematic villages include the number of visits (i), community initiation (ii), a sense of shared ownership (iii), involvement of related stakeholders (iv) and the younger generation (v), and management (vi). These results can be a reference for the Semarang City Government to develop sustainable thematic villages post-COVID-19 by considering the supporting and inhibiting factors successfully identified through this study
Evaluation of the SIBISA Application System in Population Administration Services at the Medan City Disdukcapil
Get PDFThis study aims to evaluate the performance of the Population Data-Based Information System (SIBISA) in population administration services at the Population and Civil Registration Office (Disdukcapil) of Medan City, using the DeLone and McLean models. The research was conducted using a qualitative descriptive approach, incorporating interviews, observation, and documentation techniques. The results of the evaluation show that, although the SIBISA application provides easy access and transparency of services, several obstacles remain, including limited infrastructure, low digital literacy among the community, and suboptimal data integration between agencies. Additionally, variations in service quality and inadequate officer training also impact user satisfaction levels. This research emphasizes the importance of technical capacity building, digital inclusion strategies, and cross-sector system consolidation to realize inclusive, effective, and sustainable digital-based public services
Efficient Real and Fake Face detection Using ResNet18
Get PDFThis study aims to develop a classification model for distinguishing between real and fake facial images using a lightweight Convolutional Neural Network architecture, specifically ResNet18. The research addresses the growing misuse of synthetic facial images in biometric security systems and identity verification processes. A combined dataset was used, consisting of secondary data from the 140K Real and Fake Faces dataset on Kaggle and primary images captured via a local camera. Preprocessing steps included resizing all images to 128×128 pixels, horizontal flipping, and normalization. The model was trained for five epochs using the FastAI framework with the one-cycle learning rate strategy. The experimental results show that the ResNet18 model achieved a test accuracy of 92.1%, with balanced precision, recall, and F1-score across both classes. Evaluation metrics were supported by a classification report and confusion matrix. The model contains 11.7 million parameters and completed training in approximately 9 minutes and 42 seconds, indicating its computational efficiency on a T4 GPU environment. While the study referenced deeper architectures such as ResNet34 and ResNet50 for context, no direct comparative experiments were conducted. Therefore, conclusions regarding relative performance are limited to the reported metrics of ResNet18 alone. The findings support the feasibility of deploying ResNet18-based models for real-time facial image classification in resource-constrained environments. Future research is encouraged to explore architecture comparisons, more advanced augmentation techniques, and evaluation using video-based inputs for improved generalizatio
Comparative Analysis Using Xception and MobileNetV2 Deep Learning Models for Brain Tumor Detection in MRI Images
Get PDFThis study presents a comparative analysis of two deep learning models, Xception and MobileNetV2, for brain tumor detection using MRI images. The selection of these models is based on their respective advantages. Xception is known for its ability to handle large and complex datasets due to its deep architecture and the use of depthwise separable convolutions. It also features a deep structure capable of extracting complex features from high-resolution images, making it well-suited for detailed image recognition tasks. In contrast, MobileNetV2 is designed to be lighter and more computationally efficient, making it ideal for deployment on mobile devices or in resource-constrained environments without significantly compromising performance. These characteristics make both models highly relevant for medical image analysis, particularly in brain tumor detection, which demands both accuracy and efficiency.This study uses a public dataset that has been preprocessed through augmentation and normalization. Both models were trained and evaluated using accuracy, loss, and confusion matrix metrics. The results show that MobileNetV2 achieved higher accuracy (97.8%) compared to Xception (94.9%) with a lower error rate. For precision, recall, and F1-score metrics, the results were identical up to four decimal places, further supporting that MobileNetV2 is more suitable for brain tumor detection in resource-limited settings. Based on the findings, MobileNetV2 demonstrates superior performance compared to Xception, making it the favorable choice
Grassroots Resistance and Informal Communication Practices During the Implementation of PPKM at Baron Beach
Get PDFThis study examines community resistance to the implementation of the PPKM policy, with a focus on the tourism sector in the Baron Beach Area of Gunungkidul Regency. Using a descriptive qualitative approach, data collection involves in-depth interviews and documentation techniques. Data analysis follows a systematic process of reduction, presentation, and conclusion. The findings reveal that the complex interplay of economic, social, and political factors drives community resistance. Resistance is expressed through subtle actions, including covert discussions on social media platforms, informal community gatherings, and strategic adaptations to policy requirements. These actions exemplify 'everyday resistance,' where individuals navigate power dynamics through nuanced forms of communication and collective action. Furthermore, the study highlights the role of both formal and informal communication channels in mediating resistance, such as online forums, community newsletters, and word-of-mouth exchanges. By examining these dynamics, this research offers insight into how communities negotiate and respond to policy implementation
Poverty, Unemployment, and Banditry in Nigeria: A Political Economy View
Get PDFThis study investigates the relationship between poverty, unemployment, and banditry in Nigeria from a political economy perspective. Using survey data from 300 respondents in Bida Local Government Area, Niger State, chi-square tests revealed significant associations between poverty and banditry (χ² = 23.476, p = 0.002), unemployment and banditry (χ² = 18.129, p = 0.001), and political economy factors and banditry (χ² = 21.334, p < 0.001). The findings show that 91% of respondents perceive poverty as widespread, 84% link high poverty rates to criminal activity, and 87% believe youth unemployment contributes to banditry. Weak governance, corruption, and poor resource allocation were also identified by over 86% of participants as key enablers of insecurity. Applying Queer Ladder Theory, the study concludes that structural inequalities and limited legitimate economic opportunities push marginalized groups toward criminal enterprises. It recommends targeted poverty reduction, youth job creation, anti-corruption reforms, and enhanced government presence in rural areas to address the root causes of banditry