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Innovative thinking scale of electrical engineering students in MOOC learning at MBKM activities

International Journal of Continuing engineering Education and Life-Long Learning 2025年第3-4期35卷 351-363页

作者： Fauzan, Jahril Nur Pawinanto, Roer Eka Mulyanti, Budi Study Program of Electrical Engineering Education Universitas Pendidikan Indonesia Bandung40154 Indonesia Study Program of Industrial Automation and Robotics Engineering Education Universitas Pendidikan Indonesia Bandung40154 Indonesia Universitas Pendidikan Indonesia Bandung40154 Indonesia

The objectives of this research endeavour encompass three main aspects: 1) the creation of a novel measurement tool, referred to as the innovative thinking scale (ITS), which aims to evaluate variations in innovative thinking among individuals;2) the evaluation of the effectiveness and reliability of the innovative thinking scale;3) the investigation of the associations between different indicators of the innovative thinking scale. Using a quantitative research design, a two-stage study is undertaken to ascertain the validity and reliability of the ITS instrument. Content validity and construct validity are established through an intensive procedure involving a panel of experts in the field of telecommunication engineering and the application of Pearson correlation analysis. The sample for this study consisted of 43 students pursuing a degree in electrical engineering, with a specific focus on telecommunication engineering. These students are selected based on their participation in the freedom of learning independent campus. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： engineering education

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Engine Performance Using Blended Fuels of Biodiesel and Eco Diesel

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Energy engineering 2023年第1期120卷 107-123页

作者： Muhammad Idris IHusin Indra Hermawan Uun Novalia RDBatubara Nugroho Agung Pambudi Alfan Sarifudin Study Program of Mechanical Engineering Universitas Medan AreaMedan20156Indonesia Study Program of Mechanical Engineering Politeknik Negeri MedanMedan20156Indonesia Study Program of Industrial Engineering Universitas Harapan MedanMedan20156Indonesia Department of Mechanical Engineering Education Universitas Sebelas MaretSurakarta57126Indonesia

Diesel engines is an internal combustion engine with high thermal efficiency,which also uses biodiesel fuel,an environmentally friendly,non-toxic,and low sulfur *** has been around for a long time due to its similar characteristics to diesel fuels which has limited ***,several disadvantages are associated with biodiesel,such as poor volatility and high viscosity,which reduces engine ***,this study was carried out to improve the diesel engine performance by mixing biodiesel with ecodiesel(ED),an additive produced from natural ingredients that is dissolvable in *** biodiesel fuel properties used are density 860 kg/m3,dynamic viscosity 4.50E-06 m2/s,cetane number 45,and flashpoint 52°*** results showed that biodiesel-ED mixture could improve engine performance and the optimum performance was at a speed of 3000 rpm on 43.30(kW),124.93(N.m)of the engine torque,and 2.45E–5(kg/kW.s)of the specific fuel *** to paired sample t-test,the difference in the engine performance is only experienced in the torque,which has a significant increase in the composition of the biodiesel+ED by 0.07 gr mixture.

关键词： Car vehicle experiment combustion ED renewable energy

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Analysis of Chiller Machine Energy Efficiency in the Paint Shop Air Handling Unit (AHU) Process 7

Analysis of Chiller Machine Energy Efficiency in the Paint S...

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7th Astechnova International Energy Conference, ASTECHNOVA 2023

作者： Maulana, H. Kusumah, L.H. Study Program of Industrial Engineering Faculty of Technique Universitas Mercubuana Jakarta Indonesia

The Energy Efficiency in industrial, Commercial, and Public Sector (EINCOPS) program is the result of a collaboration between the Indonesian Ministry of Energy and Mineral Resources and Danida (Danish International Development Assistance), which began in 2008 to support Indonesian government policies in achieving development goals in the field of sustainable environmental management. Energy users have gradually adopted energy efficiency measures in the industrial, commercial, and public sectors, starting with a large class. This research aims to obtain the optimal temperature range for using a chiller machine so that it continues to run efficiently. The method used is to calculate the coefficient of performance and energy efficiency ratio of each chiller when it is used. The number of chillers can be affected by the temperature range of the air handling unit (AHU), which uses wind from the environment as the main source for processing, and the temperature range is linear with weather conditions. This research found that in the environmental temperature range of 26°-29° Celsius taken by AHU for distribution to production areas, chiller performance is still not optimal. In the previous operation, three chillers were used out of the four available units, so after knowing the results of the chiller load analysis in this temperature range were still below standard or not optimal, the number of chillers could be reduced from three units full time to only two units when the temperature environment was in the range of 26°-29° Celsius. The results of calculating the average Coefficient of Performance and Efficiency Energy Ratio using two chillers when the temperature range of 26°-29° Celsius is still included in the standard, namely by increasing 0.15, the pre-improvement value is 5,833, and the chiller efficiency load increases to 14 percent. © Published under licence by IOP Publishing Ltd.

关键词： Mineral resources

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Optimizing Menu Bundling Strategies Through Apriori Algorithm in Sales Analysis 4

Optimizing Menu Bundling Strategies Through Apriori Algorith...

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4th International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Tama, Ahmad Sambang Setya Hamami, Faqih Adi, Taufik Nur Telkom University Information Systems Study Program Faculty of Industrial Engineering Bandung Indonesia

ISBN: (纸本)9798331506490

Indonesia, as one of the largest coffee producers and exporters in the world, has experienced significant growth in the number of coffee shops, driven by increasing consumer demand for ready-to-drink coffee. This study aims to enhance sales performance at Authen Café and Space through the implementation of a menu bundling strategy. By utilizing data mining techniques and the Apriori algorithm, customer purchasing patterns were analyzed to identify optimal menu combinations. The data was collected directly at Authen Cafe during the period from April to August 2028. The analysis revealed that bundling strategies, such as combining Ayam Rica-Rica with Es Kopi Susu Karamel, are effective in increasing sales volume and product popularity among consumers. Furthermore, this study evaluated the impact of offering discounts on bundled packages on the café's profitability, demonstrating that this approach can boost net profit without sacrificing profit margins. This research provides significant insights into the application of data-driven marketing strategies within the café'industry and offers guidance for more effective managerial decision-making. © 2024 IEEE.

关键词： Profitability

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Empirical mode decomposition of near-infrared spectroscopy signals for predicting oil content in palm fruits

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Information Processing in Agriculture 2023年第3期10卷 289-300页

作者： Inna Novianty Ringga Gilang Baskoro Muhammad Iqbal Nurulhaq Muhammad Achirul Nanda Computer Engineering Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Informatics Management Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Technology and Plantation Production Management Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Department of Agricultural and Biosystem Engineering Faculty of Agro-Industrial TechnologyUniversitas PadjadjaranJatinangor 45363Indonesia

Oil content estimation in palm fruits is a precious property that significantly impacts oil palm production,starting from the upstream and *** content can be used to monitor the progress of the oil palm fresh fruit bunch(FFB)and be applied to identify product *** on the near-infrared(NIR)signals,this study proposes an empirical mode decomposition(EMD)technique to decompose signals and predict the oil content of palm ***,350 palm fruits with Tenera varieties(Elaeis guineensis ***),at various ages of maturity,were harvested from the Cikabayan Oil Palm Plantation(IPB University,Indonesia).Second,each sample was sent directly to the laboratory for NIR signal measurements and oil content ***,the EMD analysis and arti-ficial neural network(ANN)were employed to correlate the NIR signals and oil ***,a robust EMD-ANN model is generated by optimizing the lowest possible *** on performance evaluation,the proposed technique can predict oil content with a coefficient of determination(R2)of 0.933±0.015 and a root mean squared error(RMSE)of 1.446±*** results demonstrate that the model has a good predictive capacity and has the potential to predict the oil content of palm fruits directly,without neither solvents nor reagents,which makes it environmentally ***,the proposed technique has a promising potential to be applied in the oil palm *** like this will lead to the effective and efficient management of oil palm production.

关键词： Artificial neural network Empirical mode decomposition Oil palm Oil content prediction

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Stackelberg Equilibrium Between the Insured and the Insurer in n-Year Life Insurance for Maximizing Profit 4th

Stackelberg Equilibrium Between the Insured and the Insurer ...

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4th International Conference on Mathematics, Statistics, and Computing Technology, ICMSCT 2023

作者： Pasaribu, Udjianna Sekteria Sa’idah, Nur Faizatus Study Program of Mathematics Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Bandung Indonesia Study Program of Industrial Engineering Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9789819734498

In the life insurance industry, determining the amount of premium paid by the insured to the insurer is crucial. This paper uses Stackelberg’s game theory to describe the reality that occurs between two parties involved in this business, i.e. the insured and the insurer. The insurer as a leader offers four different insurance products, and the insured as a follower has two strategies: (1) accepting or (2) rejecting one of the offered insurance products. The amount of premium is obtained by optimizing the insurer’s profit for each insurance product and the insured’s choice of strategy with a certain premium value limit. For the model formulation, the Indonesia Mortality Table IV is used as a guide to obtaining the parameters of the Makeham and Gompertz distribution (survival) functions. The developed model can determine (1) the amount of premium for each insurance product offered, (2) the expectation of insureds who will purchase each insurance product, and (3) the maximum profit for each of the two parties. A genetic algorithm is used to obtain the best solution. The result shows that the third insurance product, which uses Makeham distribution and offers two types of benefits, is preferred by the two parties involved. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Game theory

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Convolutional Neural Network for Microhydro Power Forecasting

Convolutional Neural Network for Microhydro Power Forecastin...

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2024 International Conference on Sustainable Energy: Energy Transition and Net-Zero Climate Future, ICUE 2024

作者： Aprillia, Happy Utami, Amalia Rizqi Salam, Anjas Nur Jaya Marindra, Adi Mahmud Saputra, Riza Hadi Institut Teknologi Kalimantan Electrical Engineering Study Program Industrial Technology & Process Department Balikpapan Indonesia

ISBN: (纸本)9798331517076

The demand for electrical energy is always fluctuating, influenced by several factors such as household, industrial, commercial, and other public service electricity usage. Moreover, estimates of future electricity demand play a crucial role in the operation of the power system, ranging from power generation planning to power flow analysis and energy system operation costs. Electrical power forecasting aims to prevent sudden decreases or increases in electricity demand. Moreover, in tropical countries, the wet season and rivers offer many opportunities for micro-hydro potentials that can be harnessed in combination with solar energy. To manage the forecasting modeling, Convolutional Neural Network (CNN) is utilized CNN for short-term forecasting in Microhydro Power Plants. The anticipated outcomes aim to contribute to effective electricity demand management, facilitating the estimates of variation in microhydro power generation. © 2024 IEEE.

关键词： Demand response

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The Influence of Silicon Dioxide as a Fuel Additive in a Diesel Engine Fuelled by Pure Palm Oil 4

The Influence of Silicon Dioxide as a Fuel Additive in a Die...

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4th International Symposium on Advances and Innovation in Mechanical engineering, ISAIME 2023

作者： Prahmana, Rico Aditia Darmanto, Prihadi Setyo Reksowardojo, Iman Kartolaksono Prakoso, Tirto Juangsa, Firman Bagja Doctoral Program of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung40132 Indonesia Program Study of Mechanical Engineering Faculty of Industrial Technology Institut Teknologi Sumatera South Lampung35365 Indonesia Thermal Science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Department of Chemical Engineering Faculty of Industrial Technology Institut Teknologi Bandung Bandung40132 Indonesia Program Study of Mechanical Engineering Faculty of Industrial Technology Universitas Pertamina Jakarta12220 Indonesia

In the last decade, the Indonesian government has implemented a program to use biodiesel as a substitute for fossil diesel to reduce dependence on fossil fuels. On the other hand, the development of biodiesel as an alternative fuel to replace fossil diesel has several challenges, one of which is the production of biodiesel, which is more complicated and requires a long process. However, the direct use of crude palm oil (CPO) in diesel engines is not recommended because it has many drawbacks. Research recently shows that fuel additives in diesel engines have promising prospects. Therefore, to solve the problem, this study used pure palm oil (PPaO) as the primary fuel, with the addition of silicon oxide (SiO2) as a fuel additive in diesel engines. The results showed that using SiO2 additive in PPaO can increase thermal efficiency by 18.8% at 60% load compared to diesel fuel (DF). Nevertheless, using this fuel increased specific fuel consumption (SFC) by 3.9% on average and increased the opacity by 153% compared to diesel fuel. These results indicate that SiO2 has the potential to be developed as an effective additive to PPaO fuel that can improve the efficiency and performance of diesel engines. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Biodiesel

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Assess the Level of Temperature Uniformity in Intermediate Level Incubators Type Incandescent Lamp and Heater Plate 3rd

Assess the Level of Temperature Uniformity in Intermediate L...

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3rd International Conference on Experimental and Computational Mechanics in engineering, ICECME 2021

作者： Riswandha, Ditya Syuhada, Ahmad Hamdani of Mechanical Engineering Study Program Department of Mechanical and Industrial Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (纸本)9789811936289

One of the business activities favored by the villagers is poultry farming. This happened because the harvest period is fast and the market is easy, especially for public consumption in the province of Nanggroe Aceh Darussalam. Due to the large number of people who are trying to raise ducks, chickens, and laying eggs, problems have arisen with the provision of these poultry seeds. So far, poultry seeds in the Aceh Province have been obtained from a small portion of the populationAcehnese themselves and the rest were imported from North Sumatra. This causes the fluctuating supply of seed poultry which will eventually disrupt the community's poultry farming business in Aceh Province. Seeing these problems, this research wants to produce a multilevel incubator heating system that maintains a uniform temperature for better incubator efficiency. The test is carried out by paying attention to the temperature distribution in the egg incubator. Thus, measuring the distribution temperature with a value range of 37 °C–38 °C at certain points through the test channel is the main thing that must be done. The variation in this research is the number of incandescent lamps/heating plates (4 and 6) which differs whether or not the zinc plate is under the incandescent lamp/heating plate with a power of 100 and 112 Watts for each heater. The heater in the incubator room will turn on at 37 °C and will turn off automatically at 38 °C due to the influence of the thermostat equipment. After testing, the temperature was 0.7 °C for 4 (four) heating plates without using a zinc plate under the heating plate and 0.8 °C for 4 (four) incandescent lamps without using a zinc plate under the incandescent lamp. However, there is a small comparison, namely 0.4 °C for 6 (six) heating plates using a zinc plate under the heating plate and 0.5 °C for 6 (six) light bulbs using a zinc plate under an incandescent lamp. Also 96% test results with various methods. It is a good heat transfer and efficient pro

关键词： Incandescent lamps

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Linking agro-industrial engineering body of knowledge with industry 4.0: A case study of agro-industrial engineering study program at IPB University

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IOP Conference Series: Earth and Environmental Science 2020年第1期443卷

作者： T Djatna Graduate and Post Graduate Program of Agro-industrial Engineering Study Program- IPB University Bogor Indonesia 16680

The emergence of Industry 4.0 paradigms has been forcing and changing the landscape aspect of engineering education, as seen in agro-industrial engineering body of knowledge (AIEBoK). These paradigms push to adapt and to prepare a new approach for curriculum content and delivery. It is urgent to re-think and redefine how to prepare a newer perspective into the three combined disciplines that form AIE-BoK, namely industrial and system engineering, process/bioprocess engineering, and industrial environmental engineering. They should clearly intertwine their relevance in parallel with pillars of the industry 4.0. These stakeholder's requirements are the main motivation of this work. Within Industry 4.0 vision, AIE-BoK is investigated on how disruptive technologies play a role in changes. Some issues related to how to utilize common connectivity in technology advancement and to push a relevant curriculum both content and structure are discussed. In order to construct a new map and landscape of curriculum relevancy, it continues with the discussion of how and where agro-industrial engineering education attempts to interpret new roles in industrial revolution 4.0. Along with the consideration of how this interpretation potentially changes agro-industrial products, services, and manufacturing. In closing, a discussion of how agro-industrial engineering curriculum should respond is briefly discussed.

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