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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Albert Panggabean, Good Fried Romadhon, Rahmat Lubis, Ramot Joelianto, Endra Institut Teknologi Bandung Doctoral Program in Engineering Physics Bandung Indonesia Institut Teknologi Del Faculty of Informatics and Electrical Engineering Toba Indonesia Institut Teknologi Bandung Engineering Physics Study Program Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia

ISBN: (纸本)9798350364743

In indoor vertical farming systems, managing dynamic and complex environments poses significant challenges. Traditional control strategies often fall short in adapting to rapid changes in critical parameters such as nutrient levels, climate conditions, and plant health indicators. To address these challenges, this paper presents a novel approach for optimizing indoor vertical farming using Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm well-suited for environments with continuous action spaces. Our study focused on the control and monitoring of key parameters, including nutrient levels (pH and EC), climate conditions (temperature, humidity, light, and CO2 levels), and plant health indicators (biomass accumulation and leaf size structure). By defining a comprehensive state and action space, we simulated an indoor farming environment and trained the DDPG model to maximize crop yield and health. © 2024 IEEE.

关键词： DDPG indoor vertical farming precision agriculture reinforcement learning smart farming

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Multi-criteria decision making for nuclear power plant selection using fuzzy AHP:Evidence from Indonesia

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Energy and AI 2023年第4期14卷 99-111页

作者： Ade Gafar Abdullah Mohammad Ali Shafii Syeilendra Pramuditya Topan Setiadipura Kurnia Anzhar Electrical Engineering Study Program Universitas Pendidikan IndonesiaBandungIndonesia Physics Department Andalas UniversityPadangIndonesia Nuclear Science and Engineering Study Program Bandung Institute of TechnologyIndonesia Research Center for Nuclear Reactor Technology National Research and Innovation AgencyIndonesia Pusat Unggulan Ipteks Perguruan Tinggi Technical and Vocational Education and Training Research Center(TVET RC)Universitas Pendidikan IndonesiaIndonesia

In terms of planning aspect,nuclear power plant(NPP)development needs analyses,consideration,and right decision making due to multi criteria *** study prioritizes the best site development of Indonesian NPPs in terms of 21 social,economic,and technical perspectives which comprise transmission network,oper-ating cost,economic impact,geology,geotechnic,seismology,population density,environment,cooling water,meteorology,hydrology,proximity to hazardous facilities,topography,land use,proximity to wetland,evacu-ation route,security,transportation network,legal consideration,impact of tourism,land ownership,historical places,and public acceptance,all identified to be considerations for the best *** Fuzzy algorithms(Chang’s Extent Analysis and Buckley’s Fuzzy AHP)were used to determine the criteria priorities as well as NPP site feasibility of two locations in *** results found that geology,geotechnic,and seismology(SA1);security(SO1),population density(SA2),environment(SA3),and cooling water(SA4)had the highest priorities among the 21 *** on the 5 top priority criteria,West Kalimantan and East Kalimantan provinces serve as the best candidates for the NPP *** an innovative and novel multi criteria Fuzzy AHP–based decision making(MCDM)approach has been proven to become a useful reference to select NPP sites in Indonesia.

关键词： Analytical hierarchy process Fuzzy AHP Multi-criteria decision making Nuclear power plant

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Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah 3

Analyzing the use of SEO and Google Analytic on the Website ...

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3rd International Conference on electrical, Electronics, Informatics, and Vocational education, ICE-ELINVO 2020

作者： Supraba, L.D. Jati, H. Electrical and Informatics Engineering Education Study Program Faculty of Engineering Yogyakarta State University Indonesia

The number of Islamic boarding school teaching both Information Technology (IT) education and Religious education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Websites

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Text-to-Speech User Interface for ChatGPT 4

Text-to-Speech User Interface for ChatGPT

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4th International Conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2024

作者： Suni, Alfa Faridh Utomo, Aryo Baskoro Fathoni, Khoiruddin Mahendra, Budiandra Yusuf Seinsiani, Izzati Gemi Hastawan, Ahmad Fashiha Universitas Negeri Semarang Computer Engineering Semarang Indonesia Universitas Negeri Semarang Electrical Engineering Semarang Indonesia Universitas Negeri Semarang Information Technology Education Semarang Indonesia Universitas Negeri Semarang English Literature Study Program Semarang Indonesia

ISBN: (纸本)9798350378368

The emergence of OpenAI's ChatGPT is paying a lot of attention to Generative AI and its impact on Academic integrity. Generative AI is a system designed to generate content or output such as text, image, audio, simulation, video and code based on their respective training data. ChatGPT itself is in the form of a chatbot where users can communicate with AI through dialogue applications via text. GPT 3 API is the technology behind the ChatGPT. However, interaction via text is not as flexible as dialogue using voice. Therefore, speech-to-text technology is needed to interface between the user and the AI. Chatbot AI powered by GPT3 with the optional voice UI powered by Google Text to Speech clearly benefits accessibility and usability. The output of dialogue between human users and AI can be done through text or sound. This research attempts to implement a Text to Speech and vice versa Speech to Text as a User Interface on a Gen-AI using the GPT 3 API so that it will be more user-friendly and accessible. This research opens many possibilities for human-AI interaction (HAX) in implementing virtual assistants. A seamless dialogue between humans and AI will be our goal in the future. © 2024 IEEE.

关键词： ChatGPT Generative AI Speech to Text Text to Speech

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Enhancing Industry's Role in Vocational education: An Analysis of Challenges and Opportunities Based on a Literature Review

Enhancing Industry's Role in Vocational Education: An Analys...

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STEM education Conference (iSTEM-Ed), International

作者： Maman Somantri Resa Pramudita Electrical Engineering Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia Industrial Automation and Robotic Engineering Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350365979

ISBN: (纸本)9798350365986

Enhancing industry engagement in vocational education is a crucial strategy for refining the quality of graduates to meet the continuously evolving job market needs. This article conducts a systematic review of the existing literature to identify the challenges and opportunities in industry involvement in vocational education. Through in-depth analysis of various sources, the article reveals that the skill gap between the vocational education curriculum and industry needs remains a significant issue. This challenge is exacerbated by assessment and certification systems that often do not accurately reflect the actual competencies required by the industry. Furthermore, the article explores opportunities through internship and work placement programs that enable students to gain relevant experience, as well as strategic partnerships between educational institutions and industries to develop responsive curricula. The article also recommends enhancing the synergy between vocational education and industry through policies that support this integration, which will not only improve the quality of vocational education but also expand employment opportunities for graduates. This research indicates that more integrated and sustained cooperation between vocational education and the industrial sector is key to ensuring the relevance of education with the dynamics of the global job market.

关键词： Industries Systematics Bibliographies education Refining Employment Globalization

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Arduino and LabVIEW Based Ping-Pong Ball Position Control using PID Controller 17

Arduino and LabVIEW Based Ping-Pong Ball Position Control us...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Ramelan, Agus Rohman, Febri Abdul Sulistyo, Meiyanto Eko Adriyanto, Feri Sartika, Nike Zakaria, Diky Faculty of Engineering Universitas Sebelas Maret Dept. of Electrical Engineering Surakarta Indonesia UIN Sunan Gunung Djati Bandung Dept. of Electrical Engineering Bandung Indonesia Mechatronics and Artificial Intelligence Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (纸本)9798350309164

Industrial development requires accurate and reliable control technology. One of the popular control systems is PID control. This paper discusses the implementation of the PID method for ping-pong ball position control by utilizing the theory of the Coanda effect. The control system was designed using Arduino as the controller and LabVIEW as the control interface. Tests were carried out by combining set point values to determine whether the position control system worked properly or not. The test results show that the PID method combined with LabVIEW can work well with the results of the PID control test at successive heights of 15 cm, 20 cm, 25 cm, 30 cm, and 35 cm obtained rise time (tr) 3.49 seconds, 4.58 seconds, 9.08 sec, 9.92 sec, and 8.84 sec. The average tolerance is 1.5 cm for the upper limit and 1 cm for the lower limit. © 2023 IEEE.

关键词： Position control

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Interconnected Through Robotic System in English Foreign Language education 5th

Interconnected Through Robotic System in English Foreign Lan...

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5th International Conference on Advances in Information Communication Technology and Computing, AICTC 2024

作者： Muthmainnah, M. de Barros Cardoso, Luís Miguel Oliveira Kaur, Dalwinder Burhamzah, Muftihaturrahmah Aeni, Nur Al Yakin, Ahmad Sharma, Aditi Teacher Training and Education Faculty Indonesian Language Study Program Universitas Al Asyariah Mandar Polewali Mandar Indonesia Portugal Department of Languages and Communication Sciences Polytechnic Institute of Portalegre Portalegre Portugal Manipal Globalnxt University Kuala Lumpur Malaysia English Study Program Universitas Negeri Makassar Makassar Indonesia Teacher Training and Education Faculty Civic Education Study Program Universitas Al Asyariah Mandar Polewali Mandar Indonesia Department of Computer Science and Engineering Symbiosis Institute of Technology Symbiosis International [Deemed University Pune India

ISBN: (纸本)9789819761050

Robots have become increasingly important in a variety of life domains as a result of the rapid advancement of technology. Additionally, robots are employed in education as teaching assistants in science, art, and language courses. This research aims to explore the potential of robotic systems as a multipurpose tool for increasing cultural awareness, language proficiency, and communicative competence in the GenAI era. Language games, conversation simulations, and real-time feedback mechanisms are just a few examples of interactive scenarios enabled by virtual robot systems or tutor robots that enable immersive language experiences that go beyond the limitations of conventional schooling. This research contributes knowledge that explores how AI can be used to personalize language teaching according to the needs and learning styles of each student in higher education. The total population of undergraduate students involved in this research was 350 for the 2023 academic year, with 24 students selected purposefully based on sample characteristics from this group who were exposed to using AI for one semester. The research method used is a mix method with quantitative analysis of the results of surveys and interviews with students who are known to have given positive responses and proposes a comprehensive strategy for using AI robot technology in EFL classrooms, which can significantly improve effective learning outcomes. The survey results also show that if educators have a solid understanding of the relationship between linguistic acquisition and technological advances, they will be better prepared to design engaging, individualized lessons that prepare their students to use the language effectively in real-world contexts. The robot-assisted language learning (RALL) approach used in this study, with the integration of robots in the classroom, has the potential to change the way people learn languages to make it more interesting, fun, and motivating, increase engagement

关键词： Students

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning 1

Java Bali Grid Mean Time To Failure Prediction using Machine...

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1st International Conference on Technology, engineering, and Computing Applications, ICTECA 2023

作者： Sesotyo, Priyo Adi Pandjaitan, M.M. Lanny W. Lukas Universitas Katolik Indonesia Atma Jaya Professional Engineer Study Program Faculty of Engineering Jakarta12930 Indonesia Universitas Semarang Electrical Engineering Dept. Semarang50196 Indonesia Universitas Katolik Indonesia Atma Jaya Electrical Engineering Master Program Jakarta12930 Indonesia Jakarta12930 Indonesia

ISBN: (纸本)9798350360554

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali's region shows the higher accuracy when the R2 shows highest value. © 2023 IEEE.

关键词： Forecasting

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Optimizing Methylammonium Tin Iodide-based Perovskite Solar Cells with Different Hole Transport Materials

Optimizing Methylammonium Tin Iodide-based Perovskite Solar ...

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IEEE International Conference on Semiconductor Electronics (ICSE)

作者： Budi Mulyanti Jahril Nur Fauzan Chandra Wulandari Lilik Hasanah Roer Eka Pawinanto Study Program of Electrical Engineering Universitas Pendidikan Indonesia Bandung Indonesia Study Program of Electrical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Study Program of Physics Institut Teknologi Bandung Bandung Indonesia Study Program of Physics Universitas Pendidikan Indonesia Bandung Indonesia Study Program of Industrial Automation and Robotics Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350378313

ISBN: (纸本)9798350378320

Perovskite materials have garnered significant attention in the field of solar cell applications due to their highly promising performance. However, the utilization of lead (Pb) as the primary material in perovskite solar cells has been associated to health and environmental hazards. Consequently an alternative material for lead is necessary in order to develop environmentally friendly and high-efficiency solar cells. The reported efficiency value still necessitates further enhancement, indicating that the development of lead-free solar cells requires improvement. Methylammonium tin iodide (MaSnI 3 ), a lead-free perovskite compound, can be utilized as a substitute for lead halide-based solar cells. This substitution is possible since MaSnI 3 is stable, non-toxic, and has a high efficiency. The simulation was conducted by the Solar Cell Capacitance Simulator (SCAPS-1D), employing the AM 1.5G spectrum. The primary objective of this research is to enhance the performance of the hole transport layer materials in order to achieve a high power conversion efficiency (PCE) using MaSnI 3 material. Organic and inorganic HTL such as CuSBS, PEDOT:PSS+WO 3 , Spiro-OMeTAD, P3HT, NiO, Cul, SrCu 2 O 2 and PTAA are required in our simulations. These materials were selected to explore their potential in optimizing device performance due to their distinct properties, such as conductivity, stability, and compatibility with MaSnI3. Regarding HTM performance for device construction, our modelling results indicate that the 100 nm CuSBS 2 layer works better. We have found that by using the configuration of ITO/TIO 2 /MASnI 3 /CuSBS 2 /Au, a PCE of 27.67% with a Voc of 0.97 V can be achieved.

关键词： Performance evaluation Semiconductor device modeling Photovoltaic cells Lead Tin Perovskites Stability analysis

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SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions

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IEEE Transactions on Neural Networks and Learning Systems 2023年第8期34卷 5122-5132页

作者： Huang, Shih-Chia Hoang, Quoc-Viet Le, Trung-Hieu National Taipei University of Technology Department of Electronic Engineering Taipei10608 Taiwan National Taipei University of Technology International Graduate Program in Electrical Engineering and Computer Science Taipei10608 Taiwan Hung Yen University of Technology and Education Faculty of Information Technology Hungyen 17000 Viet Nam

In recent years, object detection approaches using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with rainy images due to lack of visibility. Aiming to bridge this gap, in this article, we present a novel selective features absorption network (SFA-Net) to improve the performance of object detection not only in rainy weather conditions but also in favorable weather conditions. SFA-Net accomplishes this objective by utilizing three subnetworks, where the feature selection subnetwork is concatenated with the object detection subnetwork through the feature absorption subnetwork to form a unified model. To promote further advancement in object detection impaired by rain, we propose a large-scale rainy image dataset, named srRain, which contains both synthetic rainy images and real-world rainy images for training and testing purposes. srRain is comprised of 25 900 rainy images depicting diverse driving scenarios in the presence of rain with a total of 181 164 instances interpreting five common object categories. Experimental results display that our SFA-Net reaches the highest mean average precision (mAP) of 77.53% on a normal image set, 62.52% on a synthetic rainy image set, 37.34% on a collected natural rainy image set, and 32.86% on a published real rainy image set, surpassing current state-of-the-art object detectors and the combination of image deraining and object detection models while retaining a high speed. © 2012 IEEE.

关键词： Feature extraction

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