Objective of the research: The objective of this research is to design and fabricate LPG refrigeration system for household applications that operates independently of electrical power. The proposed system utilizes Liquefied Petroleum Gas (LPG) as both the refrigerant and the fuel source, enabling simultaneous refrigeration and cooking using a single LPG cylinder. The primary objective of this work is to provide an energy-efficient, portable, and environmentally friendly alternative to conventional domestic refrigerators, particularly in regions experiencing frequent power outages or limited access to electricity. Investigated problem: Unlike traditional vapor-compression refrigeration systems, the proposed design eliminates the need for electrically driven components while reducing dependence on refrigerants with high ozone depletion and global warming potential.The main scientific results: The main scientific results of the research is the design using stainless steel as the primary construction material, with Metal Inert Gas (MIG) welding selected as the manufacturing process due to its strength and reliability. Prior to fabrication, several product development tools, including Market Survey, Quality Function Deployment (QFD), Functional Structure Development (FSD), and Break-Even Analysis, were employed to evaluate customer requirements, optimize the product design, and assess its commercial feasibility. Computer-aided design and stress analysis were also conducted to verify the structural integrity and safety of the major components.The area of practical use of the research: The main area for practical implementations of this research is in household purposes which can save electricity and save costs significantly. This product is an innovative technological product which combines LPG gas and refrigerator to save electricity and save costs. The scope of this innovative technological product is vastly for household purposes which can save electricity costs significantly and can be more environment friendly.Innovative Technological Product: The developed system demonstrates the feasibility of using LPG as an eco-friendly refrigerant while offering advantages such as zero electricity consumption, reduced operating cost, improved portability, and lower environmental impact compared to conventional refrigeration systems. The proposed LPG refrigeration system represents an innovative household refrigeration technology that integrates refrigeration and cooking into a single LPG-powered unit without requiring electrical energy. The proposed design has potential applications in rural households, disaster-prone areas, off-grid communities, and camping environments where reliable electricity is unavailable. Its scope includes domestic food preservation and cooling in locations with limited or no electrical infrastructure. This work contributes to the development of sustainable household refrigeration technology with promising practical and environmental benefits.Scope of the innovative technological product: The proposed LPG refrigeration system is intended for household food preservation and cooling applications in rural communities, remote and off-grid regions, disaster-prone areas, and camping or outdoor environments where access to electricity is limited or unavailable. The technology has the potential to improve refrigeration accessibility, reduce dependence on electrical power, and support sustainable domestic refrigeration in developing regions
The object of research: The process of hybrid semantic processing of cloud deployment graphs. These graphs describe resources, dependencies, states, and policy constraints, and are used to automate constraint checking, planning, and change management. Investigated problem: Ontology-based deployment pipelines must combine verifiability, auditability, and high processing speed. Full logical closure of large dependency graphs is often impractical due to time and memory costs. Pure ML models are also insufficient for this task: they can suggest missing links, but they do not provide verifiable reports on policy compliance. Therefore, a hybrid approach is needed that distributes tasks among symbolic validation, limited logical inference, and probabilistic suggestion and ranking of missing links. Main scientific results: Cloud deployment graph processing tasks were classified according to the required type of processing. Limited logical closure under OWL-RL rules is applicable to ontological inference of implicit facts and controlled dependencies. SHACL validation is suitable for checking predefined constraints, such as policy compliance. Machine learning methods are appropriate for suggesting and ranking missing links, which must subsequently be validated before being used in deployment. An experiment on graphs ranging from 284 to 300 034 RDF triples confirmed the feasibility of this task division. The area of practical use of the research results: verification of machine-readable infrastructure descriptions, policy control, deployment planning, and drift analysis. Innovative technological product: a scheme for distributing cloud infrastructure graph processing tasks among formal constraint verification, limited logical inference, and probabilistic link prediction. Scope of the innovative technological product: ontology-based cloud infrastructure deployment tools, compliance monitoring modules, and graph-based infrastructure pipelines.
The object of research: a standalone solar-powered terrace lighting system integrated with a 20 Wp polycrystalline photovoltaic module, a 10 A solar charge controller, a 10 Ah lithium-ion battery, an Arduino-based monitoring unit, and a 10 W LED lighting load.Investigated problem: evaluation of the charging-discharging stability of a 10 Ah lithium-ion battery under real outdoor operating conditions, particularly the ability of the photovoltaic system to maintain sufficient stored energy for nighttime lighting despite variations in solar irradiance, voltage, current, and power.The main scientific results: experimental testing showed that the battery charging current increased with solar availability and reached a maximum value of approximately 1.14 A, while the battery voltage gradually increased from about 11.5 V and stabilized in the range of 12.5-12.6 V. During discharge, the output power decreased steadily from about 9.1 W to about 6.0 W without an abrupt voltage drop, enabling continuous LED lighting operation for approximately 12 hours. The maximum calculated charging power reached 13.71 W at around 13:09 WIB. These results indicate that the integration of a photovoltaic module, solar charge controller, and 10 Ah lithium-ion battery can provide stable daily energy storage and release for autonomous small-scale lighting applications.The area of practical use of the research results: residential buildings, campus facilities, public outdoor areas, terrace and walkway lighting, rural or off-grid locations, and small facilities requiring energy-efficient autonomous lighting based on renewable energy.Innovative technological product: an automatic solar-powered terrace lighting system using a 10 Ah lithium-ion battery and Arduino-based voltage-current monitoring, allowing daytime photovoltaic energy harvesting, regulated battery charging, automatic nighttime LED operation, and performance evaluation based on measured charging and discharging parameters.Scope of the innovative technological product: small-scale renewable-energy lighting systems for residential terraces, building corridors, campus and outdoor areas, rural or off-grid lighting, and educational or laboratory demonstrations of standalone photovoltaic-battery systems.
The object of research: This study examines Indonesian small and medium enterprises (SMEs) to understand how their strategic digital orientation and entrepreneurial marketing practices drive marketing performance. Investigated problem: Despite widespread interest in digital transformation, many small to medium-sized enterprises (SMEs) struggle to translate digital investments into measurable marketing benefits. The interplay between digital commitment and entrepreneurial marketing remains underexplored, particularly in emerging market contexts. The main scientific results: Using PLS-SEM on survey data, this study found that digital orientation has a significant direct effect on marketing performance (β = 0.317, p < 0.001) and a strong indirect effect through entrepreneurial marketing (β = 0.425, p < 0.001). Entrepreneurial marketing itself is a powerful predictor of performance (β = 0.655, p < 0.001), and the complete model explains 79.8% of the variance in marketing outcomes. The area of practical use of the research results: SME owners, marketing managers, and policymakers can apply these findings to design integrated digital-entrepreneurial programs that combine technology adoption with training in opportunity-driven, customer-centric marketing tactics to enhance their competitive advantage. Innovative technological product: This study proposes the "Digital‑Entrepreneurial Marketing Dashboard," a web‑based tool that assesses an SME's digital maturity, tracks entrepreneurial marketing initiatives, and forecasts expected gains in marketing performance. Scope of the innovative technological product: The dashboard is tailored for Indonesian SMEs across various sectors, including culinary, handicraft, fashion, and creative services, enabling real-time monitoring of digital investments and marketing KPIs and delivering actionable recommendations to optimize resource allocation and innovation efforts.
The object of research: The technology for the production of minced meat products (in particular, steaks) from beef using a nanostructured food additive of a combined composition (NHDKS) based on nanoparticles of iron oxide (FeO×Fe2O3) – NP Fe3O4 and brown macroalgae powder Laminaria japonica L. to improve the functional and technological properties of minced meat and increase the biological value and quality of finished products.Investigated problem: The effect of a nanostructured food additive of a combined composition (NHDKS) based on nanoparticles of iron oxide (NPs Fe3O4) and Laminaria on the properties of beef steaks was studied. An additive (0.1, 0.2, 0.3%) was added to the minced meat in the form of a fat suspension. It has been established that when using NHDKS, sensory, microbiological and functional-technological indicators improve, as well as product yield compared to the control.The main scientific results: A nanostructured food additive of combined composition (NHDKS «Fe3O4 NPs+Laminaria») was introduced into the ground beef in an amount of (0.1; 0.2; 0.3%) by weight of the recipe mixture in the form of a fat suspension at the stage of mixing the ground beef. It was established that the introduction of KFA in the indicated dosages (0.1, 0.2, 0.3% of the mass of the recipe mixture) contributes to the improvement of sensory and functional-technological indicators of beef steaks compared to the control. The recipe was optimized and the technology for cooking beef steaks with this additive was improved, and the optimal ratio of ingredients in the recipe was determined. This ensures an increase in the quality, functional properties of minced meat and the biological value of the finished product. Scope of practical use of the research results: food industry enterprises specializing in the production of chopped meat products and semi-finished products.The area of practical use of the research results: Food industry enterprises specializing in the production of culinary meat products and semi-finished products.Innovative technological product: Technology for the production of beef steaks with improved consumer properties, based on the use of the complex food additive «Kombu».Scope of the innovative technological product: Food industry. The technology enables the production of functional meat products with enhanced nutritional and biological value, facilitates the more efficient use of meat raw materials, and meets modern consumer demand for high-quality, health-promoting food products.
