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Proceeding of The International Conferences on Engineering Sciences
Published by Asosiasi Riset Ilmu Teknik Indonesia
ISSN : -     EISSN : 30906733     DOI : 10.61132
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering
Proceeding of the International Conferences on Engineering Sciences, Its a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Ilmu Teknik Indonesia.The paper topics published in the Proceeding of the International Conferences on Engineering Sciences the sub-groups of Civil Engineering and Spatial Planning, Engineering, Electrical and Computer Engineering, Earth and Marine Engineering and other relevant fields and published twice a year (January and July).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 32 Documents
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The Effect of Sea Water Sea Sand Mixed Self Compacting Concrete Infrastructure development in coastal areas and isolated islands Adnan Adnan; Jasman Jasman; Salasiah Salasiah; Miswar Tumpu
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.23

Abstract

The United Nations and the World Meteorological Organisation predict that around 5 billion people will lack clean water and even drinking water (Source: Conference on Our World in Concrete and Structure in Singapore). Based on the aforementioned phenomenon, given the abundant potential of seawater resources, there is an idea to use seawater as a concrete admixture, especially in building locations that often interact with seawater. Research is carried out in an effort to find alternatives to improve the mechanical properties of concrete such as compressive strength values, split tensile strength, namely by using additives as self-compacting concrete technology and making seawater and sea sand as a substitute for fresh water and river sand
Effect of Collector Reagent Variations in the Flotation Process on the Percentage of Mass Recovery & Metal Recovery Fitri Ayu Mardhatila; Azalia Songli; Nurul Wulandari; Azaria Songli; Untung Sukamto
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.24

Abstract

Indonesia is a country with abundant gold minerals and it is quite economical to mine. Processing gold minerals is very important to increase gold content, one of the methods used is flotation. Reagent knowledge test in gold ore flotation was carried out to obtain certain mass recovery and metal recovery. In this study, the reagents used were 621 (activator), 530X (frother), and several collectors, namely collector type 1, namely 4000, collector type 3, namely X2, and the reagent test used a varied collector on collector 2, namely with reagent 7042; 7042A; 7042W and without using collector 2. Optimal % mass recovery and % metal recovery results using a variation of collector 2 reagent in the form of 7042 which produces a high recovery value of 4.19% in the final concentrate and a high metal recovery of 85.73%
Machine Learning Integration with Random Parameter Tobit model for sustainable road safety improvement. M. M Naeem; J. Selvam; F. Ahmad
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.25

Abstract

:Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP. A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree). The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.
The Role of Morality and Ethics in Utilizing Artificial Intelligence for Technology and Vocational Education in the Digital Era of Industry 4.0 Muhammad Sadam Rizkylillah; Rafida Sahartaqiya; Aghnina Camilla Husna; Suyitno Muslim; Wisnu Djatmiko
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.26

Abstract

The digital era in the industrial revolution 4.0 has brought significant changes in various aspects of life, including education. With the presence of increasingly sophisticated digital technology and the widespread use of Artificial Intelligence (AI), the education system is currently faced with new challenges to adapt to the times. However, the emergence of AI also has a negative impact on education, especially in the context of Technology and Vocational Education, namely increasing plagiarism, excessive dependence, lack of skill development, and weakening of culture, norms, and interactions between students and lecturers. This study aims to analyze the moral and ethical role in the use of AI in Technology and Vocational Education. The literature review research method is used in this study with a qualitative approach. Secondary data collection was carried out with the help of Google Scholar web technology and the bibliometric processing application VOSViewer. The data analysis technique applies the Miles & Hubberman model which consists of: data collection, data reduction, data presentation, and conclusion drawn. The results of the study show that morals and ethics play a central role in the utilization of artificial intelligence (AI) in Technology and Vocational Education in the digital era of the Industrial Revolution 4.0. The study also recommends strategic steps to ensure the use of AI in Technology and Vocational Education remains ethical and effective.
Design and Off-Design Calculations of Single Spool Turbojet Engine Performance I.G.A. Uttariyani; Diki Diki; Widiasih Widiasih; Muhamad Dahsyat; Hasoloan Siregar
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.27

Abstract

The research project of the Open University and the National Research and Innovation Agency is taking place at the Open University, to design a turbojet engine that produces the targeted thrust at a speed (M), the height of the pilot with the rotational speed (RPM) set in the research activity. This paper presents the design of the performance of a single spool turbojet engine at Design Point (DP) and Off-Design Point (ODP) conditions. The calculation of the DP condition is solved using equations that have been provided in the literature, to obtain the appropriate mass flow rate. In the calculation of ODP with variations in temperature, pressure, Mach numbers using the C.N.Reffold semi-dimensional mass flow (SDMF) method to find the compressor pressure ratio. The purpose of this article is to present an ODP calculation that avoids the use of "nested" repetitive calculations and simplifies the solution process by using manual calculations with a success rate of less than 5%.
Investigation of Bubble Breakup in Venturi-Type Microbubble Generator with Twisted Baffle Rifda Salsabila Zahra; Sigit Deddy Purnomo Sidhi; Deendarlianto Deendarlianto
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.28

Abstract

The microbubble generator is an essential technology in various applications, such as water treatment, due to its ability to improve mass transfer efficiency, particularly ocygenation. Bubble breakup is a critical process that affects bubble size and its distribution in the solution, In this study, the experimental investigation focuses on analyzing the bubble breakup phenomenon in a venturi-type microbubble generator (MBG) equipped with a twisted baffle. Water flow rates and air flow rates ) were varied at = 40 and 60 lpm and = 0,2 and 0,6 lpm. The methods used in this study include visualizing the bubble breakup process using a high-speed camera and measuring pressure fluctuations in the MBG detected by a pressure transducer. The analysis involves Power Spectral Density (PSD), Probability Density Function (PDF) of pressure drop, and Discrete Wavelet Transform (DWT). The tests were conducted with variations in water and air flow rates, as well as pressure measurements to understand the interaction between liquid and gas flows. The analysis results indicate that the presence of the twisted baffle significantly increases flow turbulence, which accelerates the bubble breakup process. This process produce smaller and more evenly distributed bubbles, which is crucial for enchancing dissolved ocygen (DO) levels in the solution.
Autonomous Underwater Vehicles (AUVs) for Deep-Sea Exploration and Environmental Monitoring Danang Danang; Everett Quinn Adler; Dawson Zane
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.29

Abstract

The advancement of Autonomous Underwater Vehicles (AUVs) is transforming the way scientists conduct deep-sea exploration and environmental monitoring. AUVs equipped with sophisticated sonar, AI-driven navigation systems, and real-time data transmission capabilities can explore extreme marine environments where human intervention is impossible. This paper reviews state-of-the-art developments in AUV technology, including enhanced battery efficiency, swarm intelligence for coordinated underwater missions, and AI-based anomaly detection for marine biodiversity assessment. Additionally, the study highlights the role of AUVs in disaster response, such as oil spill detection and ocean pollution analysis. By addressing technical challenges such as communication latency, data processing in harsh environments, and energy efficiency, this research aims to contribute to the next generation of AUV applications.
Smart Wearable Technologies for Real-Time Health Monitoring Farhan Idris Jameel; Ahsan Taufiq Sharif
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.30

Abstract

Smart wearable technologies are becoming essential tools for real-time health monitoring, offering a new dimension of personalized medicine. Wearable devices equipped with biosensors, artificial intelligence, and Internet of Things (IoT) connectivity can continuously track vital signs such as heart rate, blood pressure, oxygen levels, and even detect early symptoms of diseases. This paper explores the latest advancements in wearable health technology, including flexible electronics, energy-efficient data processing, and integration with telemedicine platforms. Additionally, ethical concerns such as data privacy, cybersecurity risks, and user adoption challenges are discussed. The study provides insights into how smart wearables can be effectively utilized for preventive healthcare, chronic disease management, and real-time health diagnostics.
AI-Powered Cybersecurity for Industrial Control Systems Danang Danang; Idris Maazin; Khalaf Tariq Zubayr
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.31

Abstract

Natural disasters such as earthquakes, hurricanes, and floods pose significant risks to critical infrastructure. AI-driven disaster response systems provide real-time analytics, predictive modeling, and automated response strategies to mitigate damage and improve recovery efforts. This paper explores how AI-powered drones, satellite imagery, and sensor networks enhance disaster monitoring and decision-making. Additionally, the study discusses the role of AI in optimizing emergency resource allocation and predicting infrastructure vulnerabilities. Through an analysis of past disaster management strategies, this research aims to propose AI-integrated frameworks that enhance disaster preparedness and resilience.
Bio-Inspired Engineering: Nature-Inspired Solutions for Sustainable Design Tobias Merrick Vaughn; Flynn Archer; Callum Sloane
Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v1i2.32

Abstract

Bio-inspired engineering is a rapidly growing field that applies principles found in nature to develop innovative solutions in structural engineering, materials science, and robotics. This paper explores biomimicry in various disciplines, such as self-cleaning surfaces inspired by lotus leaves, energy-efficient building designs modeled after termite mounds, and ultra-lightweight yet durable materials inspired by spider silk. The study highlights the role of computational modeling in replicating biological structures and discusses the challenges of translating natural efficiencies into engineered systems. Additionally, this research examines the environmental impact of bio-inspired materials and their potential to replace conventional, resource-intensive materials in industries such as construction, aerospace, and biomedical engineering.

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