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All Journal Jurnal Komputer Indonesia (JU-KOMI) Jurnal Teknik Indonesia (JU-TI)
Nnadikwe Johnson
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering

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Exploring The Impact Of Temperature Variation On Coconut Seed Oil Yield Nnadikwe Johnson; Mbadike Columbus Asodike; Iheme Chigozie; Chinemerem Joy johnson
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract

Coconut oil is a valuable commodity with diverse applications in food, cosmetics, and pharmaceuticals. The extraction process plays a crucial role in determining the quality and yield of coconut oil. Temperature is a critical parameter that affects the efficiency of the extraction process.This study aimed to investigate the effect of temperature on coconut oil extraction using a solvent extraction method, optimizing the extraction process, and providing insights into the relationship between temperature and oil yield. A laboratory-scale solvent extraction method was employed, where coconut oil was extracted from shredded coconut at different temperatures (30°C, 40°C, 50°C, 60°C, and 70°C) using petroleum ether as the solvent. The yield of oil extracted was measured and calculated as a percentage of the initial weight of coconut used.The results showed a significant increase in oil yield with increasing temperature, with the highest yield obtained at 70°C. The yield increased from 26.29% at 30°C to 32.70% at 70°C, indicating a 24.5% increase. The study demonstrates the importance of temperature optimization in coconut oil extraction, providing valuable insights for the industry.This research contributes to the existing body of knowledge on coconut oil extraction, highlighting the potential for process optimization and improved productivity. The findings have important implications for coconut oil manufacturers, providing a basis for the development of more efficient and effective extraction processes.
Exploring the Potential of (Chrysophyllum-Albidum) Udara Seed Extract as a Natural Corrosion Inhibitor For Mild Steel Nnadikwe Johnson; Iheme Chigozie; Chinemerem Joy Johnson; Ibe Raymond Obinna; Mbadike Columbus Asodike
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract

Mild steels composed by two main elements, they are iron (Fe) and carbon (C) elements which is  widely used in industry  because of its resistance and more affordable in terms of cost  than stainless steel, but their weakness is that they have low corrosion resistance. One way to modify mild steel is by coating them with antioxidant compounds that can delay, slow down, and prevent lipid oxidation process, which is obtained from(Chrysophyllum-Albidum) Udara seed extract. This research work is aimed at producing organic corrosion inhibitor from(Chrysophyllum-Albidum) Udara seed extract. Also, to utilize this organic corrosion inhibitor as a substitute for chemical corrosion inhibitors which contain toxic compounds, and determining the corrosion inhibition efficiency of the Udara seed extract in Hydrochloric acid medium. This was carried out by weighing the mild steel pieces. Udara seed extract was also weighed and added into each of the transparent glass bottles that was used in the experiment. However,  10.0g Udara seed powder was added into bottle 1 containing 0.5m of the dilute tetraoxosulphate (vi) acid. 20.0g to bottle 2, containing the same concentration of the  acid.  30.0g to bottle 3, 40.0g to bottle 4, containing 0.5m of the dilute tetraoxosulphate (vi) acid. And 50.0g to bottle 5 containing the same acid, and Finally, bottle 6 was containing the mild steel metal and the dilute tetraoxosulphate (vi) acid. It was observed that the Udara seed extract effectively inhibited mild steel corrosion in H2SO4 solution. Inhibition efficiency was observed to improve with increase in concentration of the extract. It was generally observed that inhibition efficiency was low at the first hour and with the blank and the first concentration and gradually increases by the preceding hours and concentrations. Weight loss increased with increase in time portraying retardation in the inhibitor efficiency with increase in time.
Exploring The Efficacy Of Black Soaps Derived From Palm Oil And Palm Kernel Oil With Caustic Potash (KOH) Extracted From Plantain Peel Nnadikwe Johnson; Iheme Chigozie; Mbadike Columbus Asodike; Chinemerem Joy Johnson; Ibe Raymond Obinna
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract

This study explores the potential of utilizing agricultural by-products, specifically plantain peels, as a source of caustic potash for producing high-quality black soaps from palm oil and palm kernel oil. The objectives were to evaluate the physicochemical properties and efficacy of these soaps in addressing various skin conditions. Plantain peels were sun-dried, burned, and processed to extract potassium hydroxide, which was then used in soap production. The results show that both soaps exhibited beneficial properties, with the palm kernel oil soap displaying a softer texture. The study highlights the potential of these black soaps in providing effective skincare solutions for common dermatological concerns, while also promoting sustainable utilization of agricultural by-products.
REVOLUTIONIZING SMALL-SCALE LNG BUSINESS: OPTIMAL STRATEGIES FOR AN ADAPTIVE AND SUSTAINABLE SUPPLY CHAIN Nnadikwe Johnson
Jurnal Komputer Indonesia (Ju-Komi) Vol. 4 No. 01 (2025): Jurnal Komputer Indonesia (JU-KOMI), October 2025
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v4i01.745

Abstract

This groundbreaking research tackles the intricate challenges facing the small-scale LNG market, including logistical complexities, high operational costs, limited infrastructure, fluctuating demand, and environmental concerns. By harnessing the power of machine learning techniques, such as reinforcement learning, recurrent neural networks, online learning, and graph theory, we develop a revolutionary intelligent system for optimizing LNG pickup and delivery routes. Our innovative approach transforms the selection and planning process, yielding unprecedented efficiency gains, cost reductions, and faster delivery times. Our linear regression model reveals a significant relationship between LNG supply chain cost and independent variables, with a coefficient of determination (R-squared) of 0.85. The time series analysis shows a trend coefficient of 0.05, indicating a steady increase in LNG supply chain performance metrics. The ARIMA model demonstrates a strong autoregressive component, with a coefficient of 0.80. Our multiple linear regression model shows that transportation cost, storage cost, demand, and supply are significant predictors of LNG supply chain cost, with an R-squared of 0.90. The stochastic frontier analysis estimates an efficiency score of 0.85, indicating room for improvement in the LNG supply chain. The vector autoregression model reveals significant relationships between LNG supply chain performance metrics, with an AIC of 120.56. The generalized autoregressive conditional heteroskedasticity model estimates a significant ARCH coefficient of 0.20 and GARCH coefficient of 0.70, indicating volatility clustering in LNG supply chain performance metrics. The panel data model shows that transportation cost and storage cost are significant predictors of LNG supply chain cost, with an R-squared of 0.88. Our machine learning model achieves an R-squared of 0.92, outperforming traditional statistical models. By implementing optimization strategies, we achieve a 15% reduction in transportation costs, a 20% reduction in transportation times, a 12% increase in tank utilization, an 8% reduction in transportation costs through using larger vessels, a 6% reduction in transportation costs through optimizing routes, and a 4% reduction in overall supply chain costs through improving demand forecasting and supply chain planning.
SUSTAINABLE EXTRACTION AND COMPARATIVE ANALYSIS OF OIL FROM MORINGA AND SOYBEAN SEEDS USING PETROLEUM ETHER: AN ECONOMIC COST ANALYSIS Theodore U. Nwaneri; Nnadikwe Johnson
Jurnal Komputer Indonesia (Ju-Komi) Vol. 4 No. 01 (2025): Jurnal Komputer Indonesia (JU-KOMI), October 2025
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v4i01.747

Abstract

The increase demand and application for oils have engendered more searches for vegetable and seed oil that are of high quality. In this work, extraction and phytochemical analysis and physiochemical characterization of moringa seed and soya bean seed oil was carried out. The seed oil of the plants were extracted using solvent (petroleum ether), standard method was adopted to extract the oil. The parameters of both were determined by physiochemical analysis and calculation. 382g of grounded moringa seed and soya bean seed powder were weighed, and mixed with 1000ml of the petroleum ether in a round bottom flask of soxhlet extraction unit. The extraction process was carried out for three hours (180mins) for the seed powders respectively. The pH of moringa seed oil and soya bean seed oil were recorded as 5.8pH and 5.9pH respectively. The moringa seed yielded 185ml oil which represent 48.4% yield while soya bean seed yielded 61ml of oil which represent 16% yield. The density of both oils in the study research; 0.8363g/ml for moringa seed oil and 0.904g/ml, represent low and medium density food grade oil respectively. Density of oil > 0.92g/ml are regards as high density oil (Abbas A, et al, 2020).The phytochemical analysis showed that both seed oils are healthy plants based oils for human, domestic and industrial application.
DEVELOPMENT OF ECO-FRIENDLY LUBRICATING GREASE FROM PALM KERNEL OIL WITH POLYPROPYLENE ADDITIVE: A SUSTAINABLE APPROACH Ugochukwu Chukwuemerie Wisdom; Ibe Raymond Obinna; Nnadikwe Johnson; Iheme Chigozie
Jurnal Komputer Indonesia (Ju-Komi) Vol. 4 No. 01 (2025): Jurnal Komputer Indonesia (JU-KOMI), October 2025
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v4i01.748

Abstract

This study explores the development of eco-friendly lubricating grease from palm kernel oil with polypropylene additive, adopting a sustainable approach. The research focuses on formulating high-performance greases suitable for industrial and automotive applications. Through experimental synthesis and testing, including worked penetration, dropping point, and water washout resistance, the study evaluates the grease's properties. Results show that the formulated grease with polymer additive exhibits improved thermal stability (dropping point of 187°C) and suitable consistency (worked penetration of 250), meeting NLGI Grade 2 and 3 standards (Table 4.3). The grease also demonstrates excellent water resistance and anti-wear characteristics. This research contributes to sustainable lubrication science, offering a viable alternative to conventional greases and supporting environmentally friendly practices in various industries..
Co-Authors Chinemerem Joy johnson Ibe Raymond Obinna Iheme Chigozie Mbadike Columbus Asodike Theodore U. Nwaneri Ugochukwu Chukwuemerie Wisdom