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Hydroponic Provisions for Food Production During the Covid-19 Pandemic Necessitated Restricted Land Use Pasukat Sembiring; Suyanto; Jonathan Liviera Marpaung
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.15074

Abstract

In a time of pandemic like this, people are being demanded to reduce activity outside the house, many activities are spent with at home alone such as, working from home, learning from home and not a few lose their jobs because some companies are closed. Some of these things often lead to a decrease in the productivity of the community and a rise in the cost-effectiveness of the society, so that's one of the activities that can boost the production of society. There's a lot of business opportunities to do during the Covid 19 pandemic. This dedication will train the PKK community of Muliorejo Village in the use of limited land with hydroponics type Deep Flow Technique (DFT). This activity aims to be able to help the community in the economy that exists in the society. To tackle the economic problems of a pandemic, a community can start a business by leveraging what's in its surroundings and transforming it into what the environment needs as well. The result is that the Muliorejo village PKK community understands the importance of productivity in the pandemic era and utilizes limited household land so that it can meet household food needs with the use of hydroponics type DFT.
Optimizing Digital Learning Based Learning as a Learning Media of Today with Enhanced Microsoft Office Softskill at SMAS Husni Thamrin Elvina Herawati; Mahyuddin; Sutarman; Sawaluddin; Erwin; Jonathan Liviera Marpaung
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2023): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v8i2.15421

Abstract

Education has had a substantial metamorphosis in the current age of computers and the Internet. The adoption of digital learning technology represents a significant paradigm shift. Schools should optimize the utilization of this technology to enhance learning results. The field of education is seeing significant transformations in the current era of information and technology. Global educational institutions are increasingly using digital-centric learning methods to stay abreast with contemporary advancements. Enhancing the efficiency of technology-driven education in educational institutions is a crucial measure in equipping upcoming generations for the future. The primary advantage of digital learning is its inherent flexibility, since it enables students to access educational resources at their convenience and from any location. This allows them to tailor their learning experience to their individual pace and preferred methods of learning. It aids in surmounting the temporal and spatial limitations associated with traditional education. Furthermore, digital learning facilitates the utilization of a diverse range of educational resources. Students can enhance their comprehension of ideas by utilizing simulations, films, and other interactive materials. The Mathematics Teachers Team at USU organized a Microsoft Excel training session at Husni Thamrin SMAS with the objective of enhancing the teaching and learning paradigm for teachers in schools.
Implementation of Finite Element Method for Structural Analysis of Bridge Resistance Erwin; Joni Joni; Jonathan Liviera Marpaung
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.8362

Abstract

The bridge problem is on of the structural phenomenon in physical structural analysis. One of the problems of bridge is how to analyze the fatigue of bridge model so that the the resistance of the bridge may be estimate. In this paper the bridge problem will be explained using Finite Element Method in displacement function analysis. The stress-strain number will be written in parameters of bridge model. the displacement function is clearly influenced by the stress-strain value so that the initialization of the initial value will follow the value of the specified parameter. In this paper the displacement function of the bridge will be explained in simulation model. The result of this research is the difference about initial model to the simulation model so that the resistance of the model can be analyze caused of the initial parameters.
Automated and Measured Managerial Systems in the Management of Independent Tourism Villages: A Case Study of Parsingguran II Village, Polung Subdistrict, Humbang Hasundutan Regency Samerdanta Sinulingga; Vivi Adryani Nasution; Amalia Meutia; Sinar Indra Kesuma; Flansius Tampubolon; Jonathan Liviera Marpaung
Jurnal Pengabdian Masyarakat Bestari Vol. 3 No. 9 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v3i9.11334

Abstract

The development of tourism villages is a key strategy for boosting rural economies in Indonesia, but managing these ventures often faces challenges, particularly in establishing systematized and measurable practices. This study investigates the implementation of an automated managerial system in the Parsingguran II Tourism Village, using a qualitative experimental approach. The research explores how the system influences business operations and stakeholder engagement, focusing on contextual impacts rather than quantitative measures. Through intervention-based experimentation and case studies, the findings indicate that the automated system improves managerial efficiency and fosters a more cohesive stakeholder environment. Recommendations are made for scaling this approach to other rural tourism areas, enhancing sustainability and operational effectiveness.
Modeling Arterial Blood Flow under Stenosis: A Comparative Study of Newtonian and Carreau-Yasuda Non-Newtonian Approaches Erwin; Marpaung, Jonathan Liviera
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.18754

Abstract

This study investigates the simulation of blood flow within arteries experiencing stenosis using both Newtonian and non-Newtonian models. The Newtonian model employs standard fluid dynamics assumptions, while the non-Newtonian Carreau-Yasuda model accounts for the unique viscoelastic properties of blood, providing a more accurate representation of its flow behavior under various shear rates. By utilizing COMSOL Multiphysics, the simulations are conducted with parameters including blood velocity, viscosity, and pressure in normal and narrowed artery conditions. Results reveal that while the Newtonian model predicts general flow patterns, it lacks the precision needed to reflect the complexities of blood behavior in stenosed regions. Conversely, the Carreau-Yasuda model demonstrates enhanced accuracy by capturing viscosity variations and pressure differentials, particularly in the narrowed artery sections, showing the significance of non-Newtonian characteristics in modeling blood flow. These findings underscore the potential of non-Newtonian models in improving diagnostic and therapeutic approaches for vascular conditions.
Improving Management Effectiveness through Personality and Emotional Analysis: A Study on Parsingguran II Tourism Village Sinulingga, Samerdanta; Lubis , Andi Pratama; Ayuningtias , Niza; Siregar , Ronald Leonardo; Pardosi, Jhonson; Marpaung, Jonathan Liviera
Jurnal Pengabdian Pancasila (JPP) Vol. 3 No. 3 (2024): September 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpp.v3i3.11149

Abstract

This study aims to improve management effectiveness in the Parsingguran II Tourism Village by analyzing key personality and emotional dimensions of managers. Using  data and Structural Equation Modeling (SEM) via SmartPLS, we examine how personality traits such as Dominance, Social Recognition, and Achievement Drive influence emotional dimensions like Emotional Stability, Empathy, and Self-Regulation. These emotional dimensions, in turn, impact management effectiveness. The analysis reveals significant indirect effects of personality traits on management outcomes through emotional pathways. Sensitivity analysis demonstrates that small changes in personality dimensions can significantly affect management effectiveness. Based on these findings, we propose strategies for enhancing management effectiveness by developing leadership, communication, emotional intelligence, and operational processes. The insights gained from this research provide a valuable framework for tourism villages and similar organizations to enhance their managerial practices through targeted personality and emotional interventions.
Model for Working Capital Management of Micro, Small and Medium Enterprises in Indonesia by Using Multiple Objective Stochastic Programming Gultom, Parapat; Widyasari, Rina; Suyanto; Marpaung, Jonathan Liviera
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v5i2.15937

Abstract

Micro, small and medium enterprises (MSME) have a big influence for the economy in Indonesia. But almost of this company don’t have an optimal working capital management because less knowledge and limitation of financial not only from the owner but also financial credit from bank. Working capital management plays an important role in the success or failure of a company its business activities. To achieve optimal use of working capital management managers the company must accurately control the trade-off between profitability and liquidity. The purpose of this research is to develop a model of working capital management where the sales are under uncertainty and the company has a limit financial. This study was tested using multiple linear regression analysis to see the correlation between profitability and liquidity with x1, x2, x3, x4, and x5 then find optimal solution by stochastic multi objective programming because we consider that sales is in under certainty. The main variables used in the analysis of return on assets to measure profitability, receivable turnover to measure liquidity, inventory turnover, accounts payable days, cash conversion. The results showed that account payable, inventory turnover, and cash turn over have a positive correlation for liquidity but inventory turnover and cash turnover have negative correlation to profitability.
Location Models with Multy Criterious Networks (Case Study: The Industrial of Rice Processing in The Batubara District) Gultom, Parapat; Nababan, Esther Sorta Mauli; Marpaung, Jonathan Liviera
Journal of Research in Mathematics Trends and Technology Vol. 4 No. 2 (2022): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v4i2.16121

Abstract

Determining location is a problem encountered in many areas of everyday life. Determining this location becomes complex when many factors are taken into consideration, where one factor and another can conflict. One of the issues that will be discussed in this research is determining the location of the rice processing industry. This problem needs to be studied considering that the opportunity to establish a rice industry in several regions in Indonesia is very high considering that the potential for the main raw material (rice) is very large, as is the rice market where the largest population of the Indonesian nation makes rice the main food ingredient. The case study that will be discussed in this research is the rice processing industry in Batu Bara Regency. Batu Bara Regency is one of the districts/cities in North Sumatra Province which has enormous rice potential. In order to improve the welfare of farmers and provide good quality rice for the community, a Rice Processing Industry is needed. The problem in the rice processing industry is very complex, apart from the seasonal availability of rice raw materials, is the location where the rice processing factory is located. Various criteria need to be considered in this determination relating to the distance of the rice processing industry factory to each source of the main raw material (rice). Determining this location is very complex because it involves multiple criteria. This research will provide a location determination model using a Multi Criteria Network. The criteria used to determine the location of the rice processing industry in Batu Bara Regency are the transportation distance from the raw material center, travel time, and the condition of the road connecting the raw material center to the factory location. Based on the criteria for distance between rice centers and rice processing industrial factories, a route with a total minimum distance score of 0.71 is obtained. Meanwhile, based on travel time, the best route was obtained with a minimum total time score of 1.61. Based on the quality of the road taken, the best route was obtained with a maximum total score of 0.25. By considering the three criteria, the best route was obtained with a total optimum score of 2.96.
A Decision-Support Model for Football Squad Optimization: Integrating AHP-WASPAS and Binary Programming Gultom, Parapat; Ezra, Posman; Marpaung, Jonathan Liviera; Weber, Gerhard Wilhelm; Sentosa, Ilham
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.18531

Abstract

Team composition in professional football remains a critical challenge due to subjective biases and the complexity of player performance metrics. This study proposes a multi-criteria decision-making (MCDM) approach to optimize the starting lineup of PSIS Semarang. The Analytical Hierarchy Process (AHP) was used to determine the importance of positional attributes, followed by the Weighted Aggregated Sum Product Assessment (WASPAS) to evaluate individual player preferences. A binary integer programming model was developed to construct the optimal eleven-player formation. The proposed formation was validated through simulation in Football Manager 2023. Results showed that a 4-3-3 formation consistently outperformed alternatives, leading to first-place rankings and a President’s Cup win in simulation trials. This integrated decision-support model demonstrates effectiveness in enhancing team selection strategies in professional football.
Review of Logistics Models for Perishable Goods: Comparative Analysis of Location Planning and Inventory Management under Supply Chain Disruptions Napitupulu, Normalina; Marpaung, Jonathan Liviera; Sirimavo, Yana; Ayu Dhisa Faradiba Siregar
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.19239

Abstract

This study reviews and compares two logistics models tailored to perishable goods, focusing on the spatial and temporal dimensions of supply chain optimization. The first model proposes a population-density-based location planning framework that applies network centrality measures to determine optimal order fulfillment center locations. The second model introduces a two-warehouse inventory policy designed to handle disruption scenarios, such as lockdowns, by balancing demand variation and spoilage rates. Both models were evaluated for their methodological approaches, performance under disruption, and adaptability. The integrated review underscores the necessity of combining spatial efficiency with dynamic stock resilience to improve supply chain effectiveness for perishable goods. Findings suggest that hybrid models leveraging both geographic and temporal decision layers can significantly strengthen logistics adaptability.