Proceeding of The International Conferences on Engineering Sciences
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).
Articles
32 Documents
<![CDATA[Development of Sustainable Concrete Utilizing Rice Husk Ash and Palm Oil Fuel Ash as Supplementary Cementitious Materials ]]>
<![CDATA[Elliana Putri Anggraeni]]>;
<![CDATA[Ahmad farhan]]>;
<![CDATA[Riftya Sandy]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v2i1.12
<![CDATA[The construction industry in Indonesia faces challenges in finding sustainable materials for concrete production. This paper investigates the potential of rice husk ash (RHA) and palm oil fuel ash (POFA) as alternative supplementary cementitious materials (SCMs) in concrete. Both RHA and POFA are abundant agricultural by-products in Indonesia. Laboratory tests indicate that their incorporation enhances the compressive strength, durability, and sustainability of concrete. The findings highlight the dual benefit of reducing industrial waste and creating eco-friendly construction materials, thus contributing to the development of green infrastructure in Indonesia.]]>
<![CDATA[Optimization of Renewable Energy Systems for Remote Areas in Indonesia Using Hybrid PV-Wind-Battery Systems ]]>
<![CDATA[Dzulfikar Al Faruq]]>;
<![CDATA[Salsabila Putri Pambudhi]]>;
<![CDATA[Ahmad Ridhwan Firdausi]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v2i1.13
<![CDATA[This paper presents an optimization approach for a hybrid photovoltaic (PV)-wind-battery energy system tailored for remote areas in Indonesia. Due to the archipelagic nature of the country, many remote areas lack access to the national power grid, making renewable energy solutions crucial. This study utilizes a genetic algorithm to optimize system configurations, balancing energy production, storage requirements, and cost efficiency. Results indicate that the proposed hybrid system can meet local demand with high reliability and at lower costs compared to diesel generators. The study also addresses environmental and social impacts, proposing sustainable energy strategies for Indonesia's underserved regions.]]>
<![CDATA[Smart Traffic Management System for Reducing Urban Congestion in Major Indonesian Cities Using IOT and AI Technologies ]]>
<![CDATA[Michael Thobie Rahadian Kartono]]>;
<![CDATA[Nuvia Kurnia Sari]]>;
<![CDATA[Andi Trio Suroso]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v2i1.14
<![CDATA[Urban traffic congestion is a growing problem in Indonesian cities, affecting economic productivity and quality of life. This research explores the development of a smart traffic management system utilizing Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms to analyze traffic patterns and optimize flow. The proposed system collects real-time data and uses predictive analytics to adjust traffic signals dynamically. Field tests in Jakarta demonstrate a 15% improvement in traffic flow and reduced travel times during peak hours. The findings suggest significant potential for scalable smart city solutions in urban traffic management across Indonesia.]]>
<![CDATA[Design and Implementation of a Low-Cost Water Quality Monitoring System for Aquaculture in Indonesia ]]>
<![CDATA[Kairat Kairbekov]]>;
<![CDATA[Dauren Sarsenov]]>;
<![CDATA[Zhanna Kairbekova]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v2i1.15
<![CDATA[Aquaculture is a significant industry in Indonesia, but water quality management remains a challenge, impacting fish health and productivity. This paper presents a low-cost, IoT-based water quality monitoring system designed for small-scale aquaculture operations. The system continuously measures pH, temperature, dissolved oxygen, and turbidity, providing farmers with real-time data via a mobile application. Field trials in Java demonstrate the system's effectiveness in maintaining optimal water conditions, reducing fish mortality, and increasing yield. The study suggests that affordable, technology-driven solutions can substantially benefit the aquaculture sector in Indonesia.]]>
<![CDATA[Ai-Driven Predictive Maintenance For Industrial Machinery In Indonesian Manufacturing Sectors ]]>
<![CDATA[Enrico Dini]]>;
<![CDATA[Patricia Ricard]]>;
<![CDATA[Sophie Roux]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v2i1.16
<![CDATA[This study explores an artificial intelligence (AI)-based predictive maintenance system for industrial machinery in Indonesian manufacturing. By utilizing machine learning algorithms, the system can analyze real-time machine data to predict equipment failures and recommend timely maintenance actions. The implementation of predictive maintenance has shown to reduce machine downtime by 20% and improve operational efficiency in manufacturing plants in Jakarta and Surabaya. This paper discusses the technical design of the predictive maintenance system, its economic impact on production costs, and implications for Indonesia's industrial sector.]]>
<![CDATA[Machine Learning Integration with Random Parameter Tobit Model for Sustainable Road Safety Improvement ]]>
<![CDATA[M. M Naeem]]>;
<![CDATA[J. Selvam]]>;
<![CDATA[F. Ahmad]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v1i2.17
<![CDATA[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.]]>
<![CDATA[Comparison of Ultra Fine Grinding Effect on Gold Recovery Using Intensive Leach Test Method at PT Geoservices ]]>
<![CDATA[Nailzidane Nefananda Dziban]]>;
<![CDATA[Dyah Probowati]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v1i2.18
<![CDATA[Indonesia is an archipelagic country that has abundant mineral wealth, both metal minerals and other minerals. Metal minerals, including gold, tend to have a higher economic value. Based on data from the Ministry of Energy and Mineral Resources, the world's gold reserves in 2020 were 50,300 tons of Au. Indonesia is among the 5 largest in the world with 5% of the total gold reserves, which is 2,600 tons of Au. Therefore, it is necessary to develop technology and science in the mining industry, especially gold and silver, to improve the optimization of the process and increase the added value of the mining products themselves. One of the gold extraction processes can be done hydrometallurgically with the cyanidation method using a intensive leach test. The results of this experiment show that factors such as cyanide usage and ultra fine particle size will greatly affect the recovery of gold and silver metals.]]>
<![CDATA[Contribution of Aachen High Shear Reactor & Filblast Low Shear Reactor as Gold Ore Pre-Treatment Leaching at Geoservices (Ltd.) ]]>
<![CDATA[Keyhadi Billah Al Wafi]]>;
<![CDATA[Yasmina Amalia]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v1i2.19
<![CDATA[Gold (Au) as a precious metal has played significant role throughout human history. Most gold ores subjected to leaching using the sodium cyanide (NaCN) contain high levels of base metals. High base metal content can influence the recovery of pregnant leach solution (PLS), as it affects the consumption of sodium cyanide (NaCN) and lime used to optimize the gold ore leaching process. Pre treatment leaching process is required for gold ores before the leaching process is carried out. In this study, a pre treatment leaching process was carried out using the Aachen High Shear and Filblast Low Shear Reactors with variations in feed solids percentage for each reactor, utilizing NaCN concentrations of 1000 ppm for the Aachen with bottle roll test (BRT) and 500 ppm for the Filblast with agitations leach test (ALT). Based on this study, each pre-treatment leaching reactor, the extraction percentages were 54.30% Au, 63,40% Ag for the Aachen and 52.19% Au and 68,10% Ag at Filblast. Lime consumption in the Aachen was highest at 3.47 kg/t (PreOx 3 and AAL), while in Filblast at 1.71 kg/t. Meanwhile, NaCN consumption in the Aachen was highest at 0.64 kg/t (PreOx 2), compared to 0.80 kg/t in Filblast.]]>
<![CDATA[Optimization of Railway Line Maintenance in West Sumatra: A Literatur Review ]]>
<![CDATA[Dasa Aprisandi]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v1i2.20
<![CDATA[This study aims to analyze the maintenance strategy of railway lines in West Sumatra using the Life Cycle Cost (LCC) approach to determine the most economically efficient and sustainable maintenance option. The main issues raised are the high cost of reactive maintenance and the risk of operational disruption due to track damage. The research method involved collecting construction, operational, and maintenance cost data from railway operators, as well as LCC-based scenario simulations to compare preventive and reactive maintenance strategies. The results of the analysis show that the preventive maintenance strategy results in lower total life cycle costs, compared to the reactive strategy. In addition, the preventive strategy also supports operational sustainability by minimizing the risk of service disruption and improving user safety. SWOT analysis shows that LCC implementation has great potential to improve budget efficiency and support local economic growth, although challenges such as data limitations and natural disaster risks need to be mitigated. This research concludes that an LCC-based approach can be the basis for designing more effective, efficient and sustainable railway maintenance policies. Recommendations include prioritizing preventive maintenance, using monitoring technology, and strengthening supporting policies.]]>
<![CDATA[Study of the Effect of Electric Current Strength and Magnet Height Distance with Belt Three Disc Magnetic Separator on Middling Reprocessing Results from Processing Minerals at PT Timah Tbk ]]>
<![CDATA[Annisa Makarim]]>;
<![CDATA[Sudaryanto Sudaryanto]]>
<![CDATA[ Proceeding of the International Conferences on Engineering Sciences Vol. 1 No. 2 (2024): July : Proceeding of the International Conferences on Engineering Sciences ]]>
Publisher : <![CDATA[Asosiasi Riset Ilmu Teknik Indonesia ]]>
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DOI: 10.61132/iconfes.v1i2.22
<![CDATA[This study aims to reprocess middlings from the mineral processing process carried out at PT Timah Tbk which still contains cassiterite minerals using a three disc magnetic separator tool with variations in electric current strength and distance between the height of the magnet and the belt. Sn content will be analyzed using XRF. Variations in the strength of the electric current used are ranging from 0.3 A to 1.3 A which will be divided into 3 variations and variations in the height distance of the magnet with the belt used, namely 0.7, 1 and 1.3 cm. This research was carried out 9 times of testing which will be sought for the optimum level and recovery produced. The results showed the distribution of tin distribution in each size fraction. In addition, the Sn content and Sn recovery produced also varied for each test variation. The highest Sn content (%), 27.1%, was obtained in the test with the highest electric current strength variation and the smallest magnet height distance. Meanwhile, the highest recovery of 85.12% was obtained in the test with the smallest electric current strength and the largest magnetic height distance. Based on the results of the study, the higher the electric current strength used, the higher the Sn content obtained, but the lower the Sn recovery obtained. Meanwhile, the higher the height distance of the magnet with the belt used, the lower the Sn content obtained but the higher the Sn recovery obtained. As well as for the optimum levels and recovery obtained in research using strong electric current and the height distance of the magnet with a medium belt with Sn content of 12.2% and Sn recovery of 54.67%.]]>
