Comparative Study Infused Mechanism Among Absorbance Materials to Improve Plant Growth

Agriculture is the practice of cultivating land, growing crops, and raising livestock for human consumption. The purpose of this experiment is to assess how successful zeolite, charcoal, and kaolin are as slow-release fertilizers by investigating the adsorption performance of zeolite as a nutrient-uptake agent using various samples. This paper discussed the three absorbents when infused with the fertilizer towards plant growth potentially for soil quality, conservation of water, and nutrient consumption. Since the infused absorbent shows the best quality in the retention of water and nutrients, it enables it to collect hazardous substances quickly and efficiently from environmental pollution. The mixture of the sample contains 80 grams of soil and 5 grams of infused zeolite, charcoal, and kaolin for planting green beans. Absorption and fertilizer testing were performed to see the physical properties of infused absorbent samples. In conclusion, the ability of zeolite and kaolin to retain nutrients was performed the best while charcoal slightly displayed growth of the plants as shown by the result of the height, length of leaf, pH level, and humidity of the soil

An Analysis of Logistic Cost Structure in Corn Commodity Supply Chain (Zea Mays L) in East Java Using Activity Based Costing (ABC) Method

East Java is Indonesia\u27s biggest corn producer in 2022, with a percentage of 26,24. The El Niño phenomenon of 2023 caused a decrease in corn production in Indonesia. El Nino phenomenon in non-farming land can add logistic costs, especially in procurement. The goal of the logistic cost structure analysis is to determine the proportion of logistic costs. This research was conducted in three regencies in East Java, a representative of the corn producer centre. A total of 98 respondents were included in the study. The research sample was selected based on convenience sampling and snowball sampling. The Activity Based Costing (ABC) method calculates the logistic-cost structure. The structural analysis of logistic costs used descriptive statistics. The analysis of the logistic cost structure showed that the most significant proportion of logistic cost was procurement activity, with a percentage of 63,09%. The activity at the farmers\u27 tier with the most significant cost proportion was procurement activity, with a percentage of 69,73%. Transportation was the activity with the most considerable logistic cost proportion in the collector trader and large trader tiers, with proportions amounting to 52,31% and 83,01%. The right supply chain strategy for corn commodities in East Java was push-based

IoT-Based Automated Cabinet System for Drugs Storage and Accurate Retrieval for Operation Theater Application

Modern healthcare facilities, especially operation theaters, rely on a multitude of medications to ensure the well-being of patients during surgical procedures. In traditional operation theater environments, medications are typically stored in locked cabinets or storage units, with healthcare professionals manually retrieving and dispensing them as needed. This manual approach can be time-consuming, error-prone, and may lead to delays in urgent medical procedures. Thus, the development and implementation of an "IoT-Based Automated Cabinet System for Drugs Storage and Accurate Retrieval for Operation Theater Application” tailored for drug storage and retrieval in operation theaters becomes imperative and is proposed in this work. The system comprises three main components: a storage compartment system, a storage locking system, and a drugs retrieval system. These components are seamlessly integrated with an ESP32 Wi-Fi module and two Arduino Uno microcontrollers. In order, to enhance security, the automated cabinet system incorporates a three-level security feature. This includes AS608 fingerprint sensors and an S-60 electromagnetic lock, ensuring that only registered users can access the cabinet. The system leverages the Kodular application, which integrates with a Google Sheet Database for user authentication and administration. Experimental results demonstrate that it efficiently retrieves correct and substitute drugs, allowing healthcare professionals to monitor drug availability. In addition, it is shown that the HC-SR04 ultrasonic sensor system is efficient in tracking intended drugs within the storage compartment. The system also updates the remaining drug balance using Firebase Database, providing a reliable and efficient solution for operation theater applications. In a nutshell, by integrating various sensors and IoT technologies, this automated cabinet system significantly improves drug retrieval accuracy and efficiency, thereby enhancing patient safety and minimizing the risk of medication errors

The Smart Aquaponic System Integrated with Internet of Things Technology

Aquaponics is a sustainable plant method that combines aquaculture (fish life) and hydroponics (soilless plants) in a closed cycle. To achieve optimal results, aquaponics requires a robust water cycle and meticulous maintenance, including monitoring temperature, environmental air humidity, and plant media humidity, among other factors. The current aquaponics system still relies on manual methods for monitoring, lacking an integrated system to handle this care function. Therefore, we developed this product to address these issues by concentrating on creating intelligent aquaponic systems that integrate the Internet of Things, enabling users to track necessary parameters. Additionally, the system automates tasks like irrigation and fish feeding schedules. In this development, the researcher employed the 7-phase Engineering Design Process (EDP) model, which includes the following stages: (1) defining the problem, (2) conducting research, (3) developing a solution concept, (4) constructing a prototype, (5) constructing a product, (6) conducting a product analysis, and (7) improving the product. he BBC micro:bit microcontroller as the main controller and the ESP01s WiFi module as the component that allows interaction with ThingSpeak. Next, the researcher used several types of sensors, such as DHT11, HC-SR04, capacitive soil moisture sensor v1.2, DS18B20, and actuators such as a DC water pump motor and a FS90 180-degree servo motor. As a result, the researcher successfully met the set objectives, including the design, development, and testing of the product\u27s functionality, and the product performed as expected. Finally, according to experts, this product\u27s weakness is that it requires the addition of a humidity sensor installed on each plant pot, which is recommended for further study due to limitations on the microcontroller\u27s I/O pins

Optimization of Leaching Parameters and Kinetic Modelling for Leaching of Zinc from Zarara Hill Sulphide Ore in Different Acid Solutions

This research focused on optimization and kinetics of zinc dissolution from Zarara Hill sulphide ore using HNO3, HCl and H2SO4. A polymetallic sulphide ore collected from Zarara hill, Kaduna State, Nigeria, was used for this study. The result of elemental analysis of the powdered sulphide ore using ICP-OES technique indicate that the major elements detected are Fe, Zn, Cu, Pb and S while the minor elements include Co, Ni, Mo, and Cd. Response Surface Methodology (RSM) was employed to model, optimize and evaluate the effects and interactions of the influential parameters on the recovery of zinc using HNO3, HCl and H2SO4. From the output proposed by the Design-Expert software, the quadratic model was not aliased. In order to fit a good model, a test for significance of the regression model and individual model coefficients with lack of fit test was performed. The significant factors were ranked based on P-value (probability value) with 95% confidence level. The smaller ‘P’ values from the ANOVA generated for both HNO3, HCl and H2SO4 show more significant of the corresponding coefficients. All the R-squared values are close to one and each of the adjusted R-squared values are close to its corresponding R-square value. These confirm the adequacy of the developed model. Dissolution kinetics, studies shows that the order of reaction concerning H+ ion concentration for zinc dissolution using HCl, H2SO4 and HNO3 were 0.53, 0.58 and 0.54 respectively. And from Arrhenius plot the activation energy were calculated to be 24.3, 22.8 and 21.2 kJmol-1 for HCl, H2SO4 and HNO3 dissolutions respectively.

Wind Energy Control Technologies for Power Quality Improvement on a Microgrid-A Review

This paper focuses on the development of wind energy control technologies in hybrid energy systems, highlighting their crucial role in integrating renewable energy sources on a microgrid. It examines the wind turbine curve, a fundamental framework for wind turbine operation, and the challenges and possibilities of integrating wind power into renewable energy systems, various methods to improve the efficiency and stability of wind turbines, with wind turbine control methods as the cornerstone. The study also examines the qualities of advanced wind turbine controllers, highlighting their efficiency in using wind energy resources and investigates wind energy conversion systems (WECSs) electrical generators, highlighting current developments that promise increased energy production and system dependability. The aim is to contribute to the ongoing discussion on wind energy control technologies by utilizing various cutting-edge studies. The study aims to provide valuable insights and views that can guide the energy industry toward a sustainable and environmentally friendly future through a comprehensive assessment of these crucial components

Formulation of B2B Strategies for Steel Structure Product at a Construction Company in Domestic Market

The company that will be discussed is one of those engaged in Indonesia’s construction industry. Because demand in foreign markets has decreased, this construction company is currently moving its target market to the domestic market with its main product in the form of steel structures. Based on sales data, the profit margin tends to be very small when compared to the increase in sales volume. The purpose of this study is to identify the main causes of the low annual profit of steel structure products in the domestic market and to formulate appropriate alternative strategies based on the company’s condition. The methods used in this study were Porter’s five forces, paired comparison, IFE, EFE, IE, SWOT, and QSPM. The results of the analysis show that the cause of the low annual profit of steel structure products is intense competition in the industry and the strong bargaining power of buyers. The SWOT matrix produces five alternative strategies, which are synthesized into three strategies, and in order of priority based on the QSPM matrix, the price adjustment strategy, the expanding market share strategy, and lastly, the maintaining loyalty strategy

Development of Epileptic Seizure Symptoms Detection Device

This paper shows a seizure detection device developed with a pulse oximeter, accelerometer, and vibration sensor. A 9V battery, LM2596 voltage regulator, and two ESP32 microcontrollers were also used in the development process. The pulse oximeter is a sensor whose purpose is to measure the patient\u27s activity level: oxygen saturation, and heart rate. The accelerometer detects motion or activity in a patient\u27s body, which could indicate a possible seizure. On the other hand, a jerky body movement manifested during seizure is detected by the vibration sensor to help in increasing the efficiency of the seizure detection model. The ESP32 microcontroller was interfaced with the sensors in the proposed device to enable data collection and transmission. The LM2596 voltage regulator was added to ensure that power from a 9V battery is always on. The Blynk app provides notifications or alerts to the caregivers whenever there is a seizure. To epileptic patients, this device assures their safety and quality of life because of providing a fast intervention and on-time monitoring. Complete seizure detection is achieved by integrating different kinds of sensors and microcontrollers, while the Blynk app is there to ensure its proper communication with the caregivers for effective and efficient management of the care

IoT-Based Smart Liquid Medicine Dispenser for Dysphagia Symptom Patients

Since the onset of the COVID-10 pandemic in Malaysia from 2020, a significant shortage of medical staff has been revealed due to the rising number of patients. Especially when Movement Control Order (MCO) finished, the critical ill patients such as patient with heart disease, kidney failure, stroke, and diabetes returned to emergency departments, causing the medical staffs overwhelming. Additionally, the issue of shortage of nurses in Malaysia had always been the major problem. With the rising of patients, the workload of existing nurses in Malaysia increased and hence directly immense pressure on them. In order to solve the insufficient medical staffs, smart pill box had been invented in the market nowadays. With its automatically dispensing pills and tablets system in time, the patients able to take their medication without the aid of nurses. However, it does not benefit to some groups of patients. For example, elderly, children and the patients with dysphagia symptom, they had difficulty in shallowing pills and tablets. Therefore, the main objective of this project is to design and develop a IoT based smart liquid medicine dispenser that is made ofperistaltic liquid pump, DC motor driver module, ultrasonic sensor, and passive buzzer. Additionally, Arduino Cloud IoT Remote application is utilized as the IoT platform. This product will provide the similarities function as the smart pill box, but it is dispensing liquid medicine. Furthermore, this product is designed to offer all the necessary features in an affordable price and it benefits patients with dysphagia symptom as well as children and the elderly with its accurate dispensing of liquid medications. As a result, the prototype able to dispense liquid medicine in the accuracy of 98% to 100%

Simulation of Absorption Cross Section: A Preliminary Study of Infrared Absorption Spectroscopy for Sulfur Dioxide Gas Measurement

Sulfur dioxide (SO2), an unpleasant-smelling toxic gas, is among the six common air pollutants. These gases, particularly Sulfur Dioxide, are released through the combustion of fossil fuels or other materials containing sulfur. This gas can react with other substances in the atmosphere, forming tiny particles that may enter the lungs and lead to similar adverse health effects. Previously, it has been reported that the development of sulfur dioxide gas sensor such as semiconductor, electrochemical, and others show a long response time compared to absorption spectroscopy-based sensor. Thus, the aim of this project is detection of sulfur dioxide using absorption spectroscopy technique in the infrared region. Initially, the infrared region\u27s absorption cross-section of sulfur dioxide was simulated using the Spectralcalc.com® simulator. The validity of the simulation results was established by comparing them to previous research. The deviation of less than 1% was obtained for the value of absorption cross section. Thus, it indicates the suitability of the Spectralcalc.com® simulator for obtaining the value of absorption cross section in the infrared region. Then, simulations were conducted to analyze the effects of pressure on the absorption cross-section, ranging from 800 mbar to 1200 mbar. According to the simulation, the wavelength at 1412 cm-1 exhibited minimal pressure effect, making it conducive for accurate sulfur dioxide concentration calculation