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Applied Engineering, Innovation, and Technology
Published by MSD Institute
ISSN : -     EISSN : 30480736     DOI : -
Core Subject : Engineering,
Applied Engineering, Innovation, and Technology (AEIT) publishes high-quality papers on Applied engineering; Applied science; and Technological innovation. Original research papers, review papers, and case study reports are considered and peer-reviewed in this journal.
Articles 21 Documents
Utilization of Digital Elevation Models in Slope Morphology Analysis for Landslide Identification in Ternate City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich; Adifan, Muhammad Rayhan
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.40

Abstract

 Ternate City, located in the North Maluku archipelago, Indonesia, has hilly geographical and morphological conditions that make it vulnerable to landslides. This research aims to identify potential landslide risks by utilizing the Digital Elevation Model and slope morphology analysis and provide recommendations for disaster mitigation. This study used Digital Elevation Model (DEM) data obtained from the Indonesian Geospatial Information Agency, as well as land use data extracted from Sentinel 2 satellite imagery. The Slope Morphology (SMORPH) method was applied to analyze the shape and slope, which was then used to generate a landslide potential map. The analysis results show that 1,391.72 hectares of area in Ternate City have a high risk of landslides, with factors such as slope, slope shape, and land use conditions contributing to soil stability. The study also identified the importance of risk mapping and socialization to the community on early signs of landslides to improve preparedness.  This research confirms the need for comprehensive and sustainable mitigation efforts to reduce the impact of landslides in Ternate City. Recommendations include infrastructure strengthening, drainage channel construction, and reforestation in critical areas. The results of this study are expected to serve as a basis for policymakers to formulate more effective disaster mitigation strategies and increase public awareness of the importance of wise environmental management.
Design and Implementation of a Smart Traffic Control Signal for Suburban Areas: A Case Study of Tarkwa-Nsuaem Ampem, Isaac Aboagye; Arkorful, Isaac Papa Kwesi; Dwomoh, Lambert; Sefa-Boateng, Yaw
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.52

Abstract

With the increasing number of cars in suburban areas like Tarkwa-Nsuaem, expensive approaches to expanding road infrastructure are financially impractical for a lower-middle-income country like Ghana. Traffic accidents, causing 1.25 million deaths, up to 50 million injuries annually, and a global ratio of 18 deaths per 100,000 people, demand cost-effective prevention solutions for these suburban communities. This study proposes an ultrasonic sensor-based traffic control system using an HC-SRO4 ultrasonic sensor and an Arduino Nano with an ATMEGA 328P microcontroller. Simulated using Proteus 8 Professional and Arduino 1.6.7 software, the system optimizes traffic flow by eliminating the standard 60-second red light wait time. Vehicles on byways move freely unless a vehicle is sensed on the connecting highway, in which case the wait time is reduced to under 30 seconds. This low-cost, adaptive approach enhances road safety and efficiency, making it a viable alternative for traffic management in resource-constrained suburban communities.
A Comparative Study of Temporal Convolutional Network and Gated Recurrent Unit for Predicting Ethereum Prices Kiram, Saiful; Ula, Munirul; Kurniawati, Kurniawati
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.55

Abstract

This study compares the performance of the Temporal Convolutional Network (TCN) and Gated Recurrent Unit (GRU) models in predicting the price of Ethereum, which is important to support cryptocurrency investment strategies. With the high volatility of the cryptocurrency market, an accurate and reliable prediction model is needed. In this study, Ethereum's daily closing price data over four years was analyzed using TCN and GRU models to evaluate its predictive capabilities. Model accuracy is measured using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The results showed that the TCN model excelled in average accuracy with lower MAE and MAPE values, while the GRU model showed excellence in reducing the impact of large errors with smaller MSE values. This reflects TCN's superiority in capturing the overall pattern of price movements, while the GRU is more responsive to short-term price fluctuations. These findings demonstrate the potential of both models in cryptocurrency price forecasting, with their respective advantages. This research provides valuable information for investors and researchers in developing predictive strategies in dynamic financial markets. A combination of TCN and GRU models can also be explored to improve prediction performance in the future.
Technical Assessment and Engineering Analysis of a Horizontal Sterilizer Pressure Vessel for Palm Oil Processing: Case Study of a 14-Ton Capacity System Syahputra, Bimo Arif; Irwansyah, Irwansyah
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.56

Abstract

Palm oil processing represents a vital industry in Indonesia, which exported over 36 million tons of palm oil products in 2019. Sterilization is a critical process in palm oil extraction that directly impacts product quality and processing efficiency. This study presents a comprehensive engineering analysis and design specification for a horizontal sterilizer pressure vessel with a 14-ton capacity used in palm oil processing. Using a rational design methodology, we documented and analyzed the specifications of a sterilizer system operating at pressures of 2.8-3.0 kg/cm² and temperatures of 135-140°C. The research includes detailed calculations of vessel dimensions, wall thickness requirements, and volume characteristics. Results yielded comprehensive specifications including a vessel length of 21.5 m, diameter of 3 m, wall thickness of 15 mm, and total volume of 151.9 m³. These parameters establish a complete engineering basis for sterilizer design, fabrication, and maintenance. The study contributes to the limited scholarly literature on palm oil processing equipment design and provides valuable reference material for engineers developing similar systems. This documentation of industrial knowledge bridges the gap between theoretical pressure vessel design and practical applications in the palm oil industry.
A Comparative Review of Communication Technologies for Asset Tracking in Healthcare Facilities Al-Maktary, Omar; Susanto, Misfa
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.59

Abstract

Efficient asset tracking in healthcare facilities is essential to reduce delays, prevent equipment loss, and optimize operational workflows. This study systematically reviews four widely used technologies: Radio Frequency Identification (RFID), Near Field Communication (NFC), Global Positioning System (GPS), and Bluetooth Low Energy (BLE), based on six criteria: cost, accuracy, range, energy efficiency, ease of deployment, and scalability. RFID and NFC offer high accuracy in short-range use cases, but RFID requires substantial infrastructure, while NFC is limited by its manual operation. GPS is highly effective for outdoor tracking, though it struggles indoors. BLE provides a strong balance across all criteria and supports long battery life, making it suitable for large-scale indoor tracking. The review incorporates real-world case studies and proposes hybrid IoT-based systems that combine these technologies to achieve comprehensive coverage. Future research should focus on seamless indoor-outdoor handoff, energy-efficient synchronization, and the use of machine learning for signal optimization.
Techno-Economic Analysis of Linear Low-Density Polyethylene Plant Using Sclairtech Process Optimized by Heat Integration Prasetyo, Gandi; Rionaldo, Hari; Dharmayanti, Dian; Syafril, Novia
Applied Engineering, Innovation, and Technology Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i1.61

Abstract

Polyethylene (C2H4)n is a crucial industrial material in the plastics industry, produced via ethylene polymerization. The rising demand for Linear Low-Density Polyethylene (LLDPE) and advancements in process technology make the establishment of an LLDPE plant in Indonesia feasible. This paper aims to evaluate the feasibility of such a plant using the Sclairtech process. The heat exchanger network is designed using the Temperature Interval and Composite Curve Methods. The economic feasibility analysis, performed using the study estimate method with bare module costs, shows significant utility savings through heat integration, reducing utility costs from USD 3,933 to USD 1,510 per hour. The plant's Payback Period (PBP) is 3.21 years, with a net present value (NPV) of USD 250.48 million, an internal rate of return (IRR) of 16%, and a breakeven point of 31.04%. Sensitivity analysis indicates the plant remains profitable despite a 65.22% increase in raw material costs and a 100% reduction in product prices. Based on the Heat Integration design and economic analysis, the LLDPE plant using the Sclairtech process is deemed economically viable.
Analysis of Duty Cycle, Inductance, and Capacitance Variations on Buck Converter Performance Using PSIM Software Darmawan, Isra' Nuur; Kholistianingsih, Kholistianingsih; Nugroho, Slamet Fajar Budhi; Johara, Nur
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.38

Abstract

This study investigates the influence of duty cycle, inductance, and capacitance variations on the performance of a buck converter through simulation using PSIM software. The research aims to quantify how these parameters affect output voltage and ripple, which are key factors in achieving efficient and stable DC–DC conversion for renewable energy applications. The converter was modeled with an input voltage of 48 V, an intended output voltage of 24 V, and a switching frequency of 20 kHz. Simulation results show that the output voltage increases linearly with the duty cycle. At a 50% duty cycle, the converter achieved an output voltage of 23.9 V, confirming accurate voltage regulation. Furthermore, ripple voltage was found to decrease significantly with higher inductance and capacitance values, reaching a minimum of 0.1 V when L is 750 μH and C is 1,250 μF. These results demonstrate that optimizing LC parameters can substantially improve voltage stability and filtering efficiency. The findings provide practical design guidance for high-efficiency buck converters used in renewable energy and power electronic applications.
Design of an Affordable Automated Injection Moulding Machine Eddie, Sandra; Abakah-Paintsil, Kobina; Offei Ayisi, Nathan
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.64

Abstract

Existing small-scale industries that use injection moulding machines employ manual machine operations. These manual operations result in fatigue and burns as the operators get into direct contact with the moulded part when ejecting it. Also, existing automated injection moulding machines are expensive. Hence, this work addresses the issues associated with the cost and the manual operation by employing a servo-electric hydraulic actuator to achieve the plunger mechanism, eliminating the fatigue involved with manually pushing the plunger. The ejection mechanism is performed automatically using NEMA 17 stepper motor, which moves half of the mould to eject the part. With temperature ranges up to 700 °C for the 27/5 cm mica heating bands and -200 °C to 1260 °C for the K-Type thermocouple used, all the recyclable types of plastics can be used as the raw materials for the injection process. The results obtained from the simulations using Proteus 8.13 show that the designed system can effectively and successfully improve the productivity and working conditions of operators. Cost analysis performed on the developed system showed that it was relatively cheaper with an estimated total cost of GH¢ 17,103.77 (USD 1,993.45).
Internet of Things (IoT) Based Fire Detection and Suppression System Issaka, Dienatu; Sam-Okyere, Yaw Amankrah; Osei-Kwame, Emmanuel
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.70

Abstract

Fire incidents cause significant threats to life and property, particularly in critical infrastructure. This research presents the design and implementation of an Internet of Things (IoT)-based fire detection and suppression system featuring real-time monitoring and scalable sensor integration. The system integrates an ATmega328p microcontroller, RF transceivers, flame and smoke sensors, NodeMCU (ESP8266), solenoid valves, relays, a jockey pump, and water sprinklers. Sensor fusion ensures high detection accuracy, triggering suppression only upon simultaneous smoke and flame detection to minimize false positives. Communication between transceivers controls the pump operation, while the NodeMCU transmits sensor data to a remote web server via Wi-Fi for continuous monitoring. When a fire is detected by the sensors, the controller promptly activates the fire alarm system, which in turn triggers the jockey pump to discharge water through the sprinkler system at the affected locations.
Enhancing Audio Data Transfer Through Optical Wireless Communication Using Laser Modulation Techniques James, Sam Robert; Dwomoh, Lambert; Fawaz, Raji
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.82

Abstract

Exploring the potential of optical wireless communication for short-range audio transmission, this research investigates the design of a portable system leveraging the inherent benefits of light-based propagation, such as low power consumption, license-free operation, and enhanced security. While line-of-sight alignment is a key consideration in laser communication, this research outlines a practical approach to system development. A 650 nm laser diode serves as the carrier for the audio signal. The system architecture, comprising a transmitter and receiver, was initially designed and simulated using Proteus software. Each unit was individually implemented and tested to ensure optimal performance. Subsequent integration of these modules and careful line-of-sight alignment enabled successful audio signal transmission and reception. The audible output at the receiver is visually confirmed by a blinking speaker, demonstrating the feasibility of this optical wireless audio communication system. This work offers valuable insights into the design and implementation considerations for such portable applications.

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