International Journal of Eco-Innovation in Science and Engineering (IJEISE)

Evaluation of Boiler Feed Water Quality in Tofu Industry UD. FIT in Bocek Village

Fitri Prihardani — 2024-06-11

The UD FIT industry, situated in Bocek Village, Karangploso District, operates as a tofu factory employing modern equipment, including a fire tube boiler. The quality of feed water utilized in the boiler is essential for optimizing its efficiency. This study aimed to analyze the boiler feed water sourced from household wells at UD FIT's tofu factory, using various indicators such as turbidity, iron content, total dissolved solids (TDS), hardness, and pH levels. The test results revealed a temperature of 26°C, TDS of 253 mg/L, turbidity of 4.74 NTU, iron content of 1.123 mg/L, hardness of 180.5 mg/L, and pH of 7.89, with no detectable odor, color, or taste. Based on these findings, it is concluded that the boiler feed water utilized by UD FIT generally meet the quality standards, except for the pH parameter, which is not in accordance with the standard.

The Influence of the Green Product Milo UHT Drink on Consumer Purchase Interest Using the Simple Regression Analysis Method

Isna Nugraha — 2024-06-11

This research aims to evaluate the influence of Green Product Milo packaging on consumer buying interest. A quantitative descriptive research method was used by applying path analysis through a questionnaire distributed to 120 Milo consumer respondents. The research results show that Green Product adoption has a positive effect on repurchase intention. The implication is that companies need to maintain Green Products by continuing to innovate quality and environmentally friendly products and increasing promotions through potential media such as Instagram. Statistical analysis shows that there is a significant relationship between the level of product completeness and consumer attractiveness (p < 0.05). Although the correlation between the level of environmentally friendly products and purchase intention is relatively weak (correlation 0.411), the regression model shows a positive influence. From the results of ANOVA calculations, this regression can be used to predict purchasing interest in environmentally friendly products. It can be concluded that Green Products have a significant influence on consumer buying interest by contributing 16.9% to the variability in buying interest. This research provides an important contribution to companies in making strategic decisions related to product development and marketing.

METABOLOMIC TECHNIQUE IN GREEN TEA RESEARCH: A REVIEW

Muhammad Alfid Kurnianto — 2024-06-11

Tea, consumed by two-thirds of the global population, had a production of 5.68 million tons in 2017. The cultivation and processing of tea are crucial variables that have a substantial impact on the final product. As a result, many types of tea, such as black, oolong, and green, are produced, each with its own unique flavors and health advantages. Metabolomic techniques, which employ advanced analytical methods, are employed to characterize chemical composition of tea, thereby enabling the assessment of its quality, origin, and bioactivity. This review focused on the application of these techniques to the green tea research. Analytical methods such as UPLC-MS and 1H NMR, when employed in conjunction with multivariate analysis, have proven effective in correlating green tea quality with its chemical constituents, identifying key metabolites such as EGCG, ECG, and caffeine. These metabolomic techniques permit rapid and accurate assessments, enabling the differentiation between high- and low-quality green tea and enhancing the comprehension of its chemical composition and sensory attributes. In addition, a metabolomic approach was employed, utilizing HPLC-TOF-MS, to differentiate between various types of green tea based on their bioactivities. These methods have the capacity to reveal significant variations in metabolite profiles and bioactivities. The application of multivariate analysis enabled the identification of specific bioactive cultivars, thereby demonstrating the efficacy of the technique in evaluating the health-promoting effects of different tea samples. Thus, metabolomic methods represent an optimal approach for a comprehensive and expeditious investigation of the research related to green tea.

Analysis of The Queue System in Self-Service Using The "ABC Supermarket" Queue Method

Mega Cattleya P.A Islami — 2024-06-11

A queuing system is a mathematical model used to analyze the phenomenon where entities wait to receive services from one or more service providers. In this system, arriving entities will queue if the service is not immediately available and will be served according to a specific order or priority when the service becomes available. ABC Supermarket is a store that is always busy with customers. Besides having low prices, ABC Supermarket also provides daily necessities. The purpose of this research is to determine whether the cashier queue system implemented at ABC Supermarket is effective or not. This research uses the queue system method. This research concludes that the queue system at ABC Supermarket with 6 cashiers has an average ρ value percentage of 41.67%, which falls into the ineffective category. The most effective number of cashiers is 3, with an average r value percentage of 83.33%, which falls into the effective category. The purpose of queuing system analysis is to optimize the performance of the queuing process by determining the optimal number of service providers required.

Analysis of Sulfur Dioxide (SO2) Exhaust Gas Emission Distribution Patterns from Airport’s Incinerators in East Java

Kresna Setyawan Adhi Pamungkas — 2024-06-11

The airport in this study is one of the airports in East Java that uses an incinerator to process its waste. Emissions generated by the incinerator will disperse in the area surrounding one of the airports in East Java. With the increasing interest of the public in air travel, activity at the airport also increases. This increase also impacts the amount of waste processed by the incinerator and the emissions produced, including Sulfur Dioxide (SO₂). The aim of this study is to analyze the dispersion of air pollutants using Aermod View modeling software with SO₂ parameters from environmental document data of the airport from January to June and from July to December generated by the incinerator stack. The model produces isopleths representing the dispersion of SO₂ emissions. The results of the SO₂ model still meet ambient air quality standards, as indicated in Appendix VII of Government Regulation Number 22 of 2021.