UMA - Open Access Journals (Universitas Medan Area)
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Multi-Detection System Using Faster R-CNN for Fish Species Classification and Quality Assessment on Android
Full text linkSpecies identification and quality assessment of fish in trade still rely on manual visual observation, which is subjective and requires specialized expertise. This method's limitations make it difficult for consumers to distinguish species with similar morphology and accurately assess fish quality, which can lead to inappropriate purchasing decisions. This research develops a multi-detection system based on Faster R-CNN with VGG16 backbone for fish species classification and quality assessment simultaneously on Android platform. The system uses convolutional layers to extract visual features from input images, Region Proposal Network for fish object detection and localization, and fully connected layers for simultaneous classification of species and quality levels. The research dataset consists of 3,000 images of five fish species (gourami, tilapia, nile tilapia, snapper, and pomfret) with four quality levels, divided into 2,400 training images and 600 testing images. The trained model is converted to TensorFlow Lite format for implementation on Android devices. Test results show the multi-detection system achieves 92% accuracy in fish species classification and quality assessment, demonstrating the effectiveness of the Faster R-CNN approach for multi-detection applications in the Android-based fisheries sector
Optimizing Real-Time Weather Data and Information Services with Frameworks and Application Programming Interfaces
Full text linkThe need for fast, accurate, and secure weather information is a major challenge in BMKG public services. This research aims to develop a web-based information system capable of presenting real-time weather, climate, and flight forecast data, as well as supporting transaction services and digital data distribution at the BMKG Balikpapan Meteorological Station. The method employed is Research and Development (R&D), utilizing a Waterfall model in conjunction with the Network Development Life Cycle (NDLC). The research stages include needs analysis, system design, implementation using a web framework, and integration of Application Programming Interface (API) for real-time data synchronization. The system utilizes PostgreSQL as a database and the SMTP protocol for sending verification emails. Key features developed include login and registration with layered verification, uploading proof of payment, and automatic sending of documents to user emails. With a responsive interface design and good data integration, this system improves the efficiency, security, and transparency of public services. The results of Black Box Testing on six items were declared successful. Additionally, system quality testing, conducted among 17 respondents through six questions using a Likert scale, yielded an average of 95.08%, indicating a very good category. This system supports the digital transformation. These findings imply that the developed system has the potential to be adapted to other sectors, such as health and agriculture, to support more efficient and secure digitalization of public service
The Comparative Study Of Hybrid CNN-SVM And Wavelet-SVM Fusion Methods For Performance Optimization
No full textHybrid CNN-SVM and Wavelet-SVM Fusion are two widely recognized methods in machine learning for feature extraction and classification. This study conducts a comparative analysis of these methods to evaluate their performance in classifying MNIST handwritten digit data. The Hybrid CNN-SVM method uses a Convolutional Neural Network (CNN) to extract high-dimensional features, which are then classified using Support Vector Machine (SVM). On the other hand, Wavelet-SVM Fusion employs Discrete Wavelet Transform (DWT) to extract frequency-based features before classification with SVM. Both methods are evaluated based on metrics such as accuracy and computation time. The results reveal that Hybrid CNN-SVM achieves higher accuracy in feature-rich tasks, while Wavelet-SVM Fusion demonstrates better computational efficiency. This research provides insights into selecting the appropriate method for specific applications based on performance trade-off
QUALITY OF VERMICOMPOST AND VERMIWASH FROM HOUSEHOLD WASTE BASED ON SAGO PULP AND COW MANURE
Full text linkThe processing of household organic waste through vermicomposting has the potential to produce fertilizers with higher nutrient content compared to conventional methods. This study aims to analyze the effect of adding sago pulp and cow manure as media on the quality of vermicompost and vermiwash derived from household organic waste using Eisenia fetida worms. The experiment was conducted using five treatments with five replications. Observed parameters included media moisture, temperature, pH, changes in color and texture, odor, earthworm biomass, and the contents of nitrogen (N) and phosphorus (P). Data were analyzed descriptively by correlating observational results with laboratory analyses of vermicompost and vermiwash. The results indicate that the treatment consisting of sago pulp with the addition of 50% household organic waste (SP+HOW 50%) produced nitrogen and phosphorus contents that met the requirements of SNI 7763:2024. Overall, the findings indicate that vermicomposting using sago pulp and household organic waste can be applied as a sustainable approach to organic waste management while producing organic fertilizer derived from local resources
Ekstremisme Game Daring, Protes Roblox, dan Konsep Hyperreality Demonstrasi Agustus di Indonesia Dalam Politik Postmodern
Full text linkThis article aims to examine the phenomenon of digital demonstrations on the Roblox platform in August 2025 as a form of postmodern political representation within the dynamics of Indonesia’s digital democracy. In this context, the focus is on how virtual protest practices shape politically mediated discourse through technology and how the boundary between political reality and simulation becomes increasingly blurred. This article employs Jean Baudrillard’s theory of hyperreality, the concept of gamification in digital activism, and Norman Fairclough’s critical discourse analysis as its analytical framework. The study finds that digital demonstrations on Roblox not only function as an alternative space of expression with the potential to expand democratic practices but also reveal that political action conducted through Roblox no longer emphasizes grassroots ideological grounding, instead prioritizing visibility, accessibility, and popularity. Rather than merely extending social media–based political mobilization, the use of Roblox ultimately facilitates capitalist practices that benefit corporate actors and operate through algorithmic agents. This phenomenon indicates that such digital protests tend to neglect ethical dimensions and ideological grounding, focusing instead on aesthetics and the imperatives of participation in the digital era.
Diversifikasi Produk Mebel Lokal untuk Menguatkan Usaha Pariwisata Danau Bokuok di Desa Aursati
No full textAursati Village has considerable potential for the development of Danau Bokuok tourism, yet faces limitations in providing creative local products that reinforce the destination’s identity. The absence of facilities that showcase local characteristics has reduced the area’s attractiveness. This community service program aimed to strengthen tourism through the diversification of local furniture products utilizing wood waste and the natural forms of unproductive durian and rubber tree stumps. The program consisted of four stages: preparation through coordination and scheduling; program socialization and product education; technical training in crafting decorative furniture using local materials combined with resin; and the handover of products to the village for use as tourism support facilities. The results demonstrated improved knowledge, skills, and active participation of the community, particularly village youth, in creative production. The products developed not only offered aesthetic value but also reflected a strong local identity. This program is expected to stimulate sustainable village-based creative enterprises and foster a tourism-driven local economy. Moreover, the activity strengthened community awareness and a sense of ownership in tourism development, ensuring continued contributions and long-term impact
Fake News and Its Implications for Sustainable Development Goals in Delta State
Full text linkThis paper focuses on the implications of fake news for the realization of the Sustainable Development Goals (SDGs) in Delta State, Nigeria. This issue has progressively interfered with health communication, education programs, and peace-building efforts, as well as with trust in institutions. The objective aims to align the core of SDGs 3, 4, and 16 regarding how they are interpreted and applied to development. A mixed-methods design was adopted, using a survey and key informant interviews. A sample of 400 was collected for quantitative data, and 18 key informant interviews were conducted for qualitative data. The findings, analysed using descriptive statistics, correlation, and regression, show a significant negative association with exposure to fake news. Thematic analysis of the interview data showed that the dissemination of fake news is primarily driven by social media, which erodes people’s trust. The study concludes that fake news is a serious challenge to sustainable development in Delta State. It recommends intensifying media literacy and improving open communication to reduce the effects of misinformation on the achievement of the SDGs
DESIGN OF A HOMEMADE BIOFILTER FOR DOMESTIC WASTEWATER TREATMENT IN THE SITU RAWA BESAR
Full text linkWater pollution from domestic wastewater is one of the main causes of eutrophication in public waters, including the Rawa Besar Lake in Depok. Eutrophication is characterized by an explosion of algae growth that leads to a decrease in dissolved oxygen and the death of aquatic life. This research aims to design a simple (homemade) biofilter technology using local media such as red brick, zeolite, and ceramic rings that is accessible and easily accessible to the public to purify household wastewater before it is discharged into the environment. The research method uses an experimental Research and Development (R&D) approach, involving the design, fabrication, and performance testing of a small-scale biofilter prototype. Wastewater quality was evaluated before and after treatment by measuring turbidity, odor, and pH as key indicators of treatment effectiveness. The results showed that the biofilter reduced water turbidity, eliminated unpleasant odors, and stabilized wastewater pH toward neutral conditions, indicating effective removal of suspended solids and organic contaminants. The results of this study indicate that the biofilter technology developed effectively treats contaminated water by changing the turbidity, odor and pH of the wastewater. This biofilter is designed for easy domestic use, at a low cost, and with an ecological approach
MICROALGAE METALLOTHIONEIN OPTIMIZATION THROUGH GENETIC ENGINEERING FOR BIOREMEDIATION AND BIOLOGY EDUCATION
Full text linkHeavy metal pollution (e.g., Cd, Pb, Hg) threatens aquatic ecosystems due to its persistence, toxicity, and bioaccumulation. Microalgae are promising agents for bioremediation via bioadsorption and intracellular bioaccumulation, but their intrinsic metal uptake is often inadequate under high contamination. This review aimed to synthesize current evidence on metallothionein (MT)-based enhancement of microalgae bioremediation and to map its relevance for project-based and STEM-oriented biology learning. A narrative (descriptive–analytical) literature review was conducted using recent publications (primarily within the last 10 years) on MT/PC mechanisms, microalgae genetic engineering and synthetic biology, genome editing, and biosafety. Content analysis was used to extract and integrate findings. The review indicates that MT functions as a metal buffer, detoxifier, and antioxidant, and that MT performance can be improved through (i) target-gene selection informed by omics and motif/phylogenetic analyses, (ii) construct design with strong/metal-inducible promoters and subcellular targeting, (iii) pathway-level co-engineering (transporters, glutathione/antioxidant systems), and (iv) genome editing (e.g., CRISPR-based knockout of inhibitory regulators). Biosafety-by-design strategies (biocontainment, auxotrophy, closed photobioreactor deployment) are critical for real-world use. Overall, MT-centered engineering offers a feasible route to strengthen microalgae bioremediation and provides an authentic context for integrating biotechnology with socio-scientific issues in biology education
Analisis Peran Kelurahan Rajeg dalam Fasilitasi Digitalisasi UMKM: Perspektif Komunikasi Pembangunan
Full text linkThis study aims to analyze the role of Rajeg Village in facilitating the digitization of Micro, Small, and Medium Enterprises (MSMEs) as an effort to strengthen local economic competitiveness and independence. This study uses a descriptive qualitative approach with a case study method through in-depth interviews with the Village Head, the Head of MSMEs, and two active MSME actors. The analysis was conducted thematically by examining communication patterns, forms of facilitation, and obstacles encountered in the digitization process. The results show that the role of Rajeg Sub-District Office is still facilitative and participatory, mainly through socialization activities and cooperation with external parties such as universities. The main obstacles include low digital literacy, limited continuous training, and minimal technical support. This research expands the application of the concept of participatory development communication by showing how the role of the sub-district government as a digital facilitator can be a catalyst for socio-economic change at the community level