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Applied Engineering, Innovation, and Technology
Published by MSD Institute
ISSN : -     EISSN : 30480736     DOI : -
Core Subject : Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical 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.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 1 (2025)" : 5 Documents clear
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.

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