Journal of Multidisciplinary Academic and Practice Studies Published by Goodwood Publishing, Journal of Multidisciplinary Academic and Practice Studies is an international peer-reviewed and scholarly journal promoting high-quality multidisciplinary research on social, humanity, economics, business, technology, and education. Journal of Multidisciplinary Academic and Practice Studies welcomes submissions of scientifically-developed research manuscripts aiming to provide solutions and innovation both scientifically and practically in every aspect of life.
Published
2023-11-24
Articles
Comparative effects of exotic Raanan and local feeds on growth performances of Nile tilapia (Oreochromis niloticus) reared in engineered multi-constructed ponds for efficient water use
Purpose: Growth performance of 30 randomly sampled tilapias were examined fortnightly for 12 weeks.
Research methodology: Growth of male Oreochromis niloticus in two-by-two Completely Randomized Block Design (CRBD) with four treatments [New Water with Raanan (NWR), New Water with Local feed (NWL), Old Water with Local feed (OWL) and Old Water with Raanan (OWR)] was monitored in four ponds measuring 360 m2 each. Pond Temperature, pH, Dissolved Oxygen were assessed using the multi parameter-probe. Fish total body weights and lengths were measured using electronic scale and 30 cm rule.
Results: Temperatures ranged from 26.2 °C (OWR) < 26.4 °C (OWL) < 26.5 °C (NWR) < 26.8 °C (NWL). Highest mean pH of 6.7 was recorded in NWR compared to the lowest (6.1) in NWL. Dissolved oxygen was 3.0 mg/l for all treatments, except in OWR (3.7 mg/l). There were significant differences among entire physicochemical parameters (p < 0.05). The NWR produced highest tilapia body weights (88.3 g) followed by OWL (47.9 g), NWL (47.1 g) and OWR (44.0 g). Final fish body lengths were in order of OWR (9.1 cm) < OWL (9.2 cm) < NWL (9.7 cm) < NWR (12.1 cm) respectively with significant variations. Raanan cultured tilapia grew better than the local feed comprised of energy sources.
Limitations: Null hypothesis failed to confirm significant differences in fish growths (p < 0.05).
Contribution: Use of old water is recommended in absence of fresh, if pond is completely drained/limed to eliminate leeches, tilapia eggs, fry which may infest introduced fingerlings.
Benjamin Makimilua Tiimub,
Richard Wonnsibe Tiimob,
Gideon Likida Tiimob,
Elisha Tiimob,
Dramani Lucy,
Ernestina Laatman Tiimob,
Baani Isaac,
Amihere-Ackah Paul
Google Scholar
Garuda
Sinta
Pages: 291-316
78 views | 70 downloads
Investigation of functional and sensory properties of plantain flour in citric acid
Purpose: This study investigated the effects of process variables on the proximate, functional, and sensory properties of plantain flour.
Research Methodology: The plantain fruit was sorted and hand-peeled using kitchen knives. It was then cut into various slices of 2 – 6 mm and steeped in citric acid solutions with concentrations ranging between 1 – 5 %. The steeping time varied between 30 – 120 min. The pretreated plantain slices were processed into flours. Process parameters were analyzed using the response surface methodology of Design Expert software.
Results: The proximate parameters of the flour samples showed no significant difference (p > 0.05), but there were significant effects (p< 0.05) on the functional and sensory properties of the flour samples. The functional properties were found to differ significantly.
Limitation: This study did not consider the application of other optimization methods such as genetic algorithm and particle swarm optimization in estimating the optimum points. Future studies could focus on these areas.
Contribution: The validation of the optimization processes showed success in the application of citric acid in the production of novel plantain flour.
Pages: 317-337
117 views | 206 downloads
A mathematical model of routing problem for hazardous biomedical waste: A multi-objective particle swarm optimization solution approach
Purpose: This model aims at solving a Green Heterogeneous and Stochastic Capacitated Vehicle Routing Problem that takes into account the risks and environmental hazards.
Research Methodology: Regarding an NP-hard and complex problem, and after confirming the accuracy of the problem-solving in smaller dimensions by GAMS software, the problem is solved by the metaheuristic algorithm of multi-objective particle swarm optimization (MOPSO) and its coding in MATLAB software.
Results: The results urge that using random sampling and probability distribution, non-deterministic parameters turned into deterministic ones, and high-quality solutions were obtained.
Limitation: The proposed method is a routing problem and has been applied for the Green Heterogeneous and Stochastic Capacitated Vehicle Routing Problem. Future researchers may work on real data sets and hazardous biomedical waste data.
Contribution: Based on the results presented, the model derived in this paper can support decisions such as routing, prioritization, time to reach each node, etc. so that the costs of routing, system reliability, environmental issues, and penalties for violation of the priority and maximum time elapsed for vehicles are taken into account.
Information Technology Strategic Plan for Hospital using Ward and Peppard Model
Purpose: The objective of this research is to find IS/IT strategic plans, managerial activities, and operational activities in hospitals that can be used as proposals for IS/IT development in hospitals.
Methodology/approach: The approach used in this research is the strategic planning of Ward and Peppard who conduct an analysis of the internal environment and analysis of the external environment at the hospital using various analytical tools such as SWOT, CSF, PEST, Value Chain and McFarlan Strategic Grid.
Results/findings: The final result of this research is comprehensive strategic planning at the strategic, managerial, and operational levels which are expected to be in line with the business objectives of the hospital.
Limitations: The limitation of this research is the mapping of application proposals that are in accordance with the business objectives of the hospital.
Contribution: The final result of this research can be used as a basis for developing IT at the hospital which is expected to help in developing IT at the hospital in the future.
IoT Monitoring for PV System Optimization in Hospital Environment Application
Purpose: The objective of this study is to implement IoT monitoring to remotely monitor PV system output and efficiency to ensure the continuous supply to ventilators and monitors in the ICU Room of RSI Siti Khadijah Palembang.
Methodology/approach: The approach implemented in this study is by installing IoT Monitoring as an automatic transfer switch to ensure the continuous supply for the load.
Results/findings: The IoT monitoring shows the real-time production of PV panels, battery capacity, and inverter output. Hence, the operator can monitor the PV system output and decide whether to keep using sources from PV panels or switch to grid utilities during cloudy/rainy days.
Limitations: The IoT monitoring system has supervised the system's reliability, but it is necessary to improve the output and efficiency of the PV system by adding artificial intelligence algorithms and installing active cooling to prevent overheating.
Contribution: This study shows the effectiveness of implementing IoT monitoring for the On-Grid PV system installed on the rooftop of RSI Siti Khadijah Palembang.
Maternal HealthCare Using IoT-Based Integrated Medical Device: Bangladesh Perspective
Purpose: The main purpose of this study is to develop a low-cost integrated medical device. This device will help investigate the risk levels of maternal patients as well will reduce the cost involved in medical diagnosis for poor countries like Bangladesh, where maternal healthcare is a great concern.
Methodology: We proposed and developed an integrated medical device that includes all possible sensors to collect raw data from maternal patients. As soon as the data is collected it will be sent to the cloud for processing. In the cloud, there are a set of algorithms (software) for processing raw data received from the device. After processing and analyzing our system will automatically identify the risk levels of those patients. The software is developed in open source code so that in the future it can be updated by researchers.
Results: We developed the system and practically collected raw data from patients and uploaded those data to our cloud system. In the cloud, it was processed and the resultant data were presented in the form of graphs. From these graphs, the risk levels were identified.
Limitations: The proposed system is developed for maternal patients only. This system needs to be authorized by the health regulatory authority. To make it cost-effective some expensive sensors were not used.
Contribution: The main contribution of this study is to minimize the cost involved in maternal healthcare in poor countries like Bangladesh. This, in turn, controls the death of mother and child by improving maternal healthcare facilities.
