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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

作者： Afina Anfa Ana Vitradisa Pratama Agus Sukoco Ary Setijadi Prihatmanto Rin Rin Nurmalasari Agus Juhana School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Departement of Informatics Universitas Mayasari Bakti Tasikmalaya Indonesia Department of Electrical Engineering UIN Sunan Gunung Djati Bandung Indonesia Multimedia Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia

This paper presents an innovative approach to integrating ML-Agents into a microgame-based kart racing environment, showcasing the potential for enhancing gameplay experiences through AI-driven opponents. Kart Unity Game is a racing game that uses small motorized vehicles but still uses the concept of racing in the real world. One of the racing game development platforms is Unity. Unity has developed a platform, Unity Karting Microgame, which users can modify. Unity Karting Microgame applies self-driving to ML-Agents trained and designed to drive their karts with suitable sensors and actuators. The method used to develop the game is to modify the racetrack and modify ML-Agents to make the game more exciting and fun. As a result of this study, successful implementation of ML-Agents in a microgame-based kart racing environment. The study highlights the potential of using Unity ML-Agents to create AI-driven opponents that enrich gameplay experiences. Games can run well and seem varied. ML-Agents can also control their karts on their lanes. Thus, kart racing games can be implemented.

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Analysis of Six-spoked Asterisk Slot CPW Antenna for Wireless Communication Systems

Analysis of Six-spoked Asterisk Slot CPW Antenna for Wireles...

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International Conference on Wireless and Telematics (ICWT)

作者： Hafizha Silmi Nur Rahkmi Nurul Fahmi Arief Hakim Enjang Akhmad Juanda Azwar Mudzakkir Ridwan Mariya Al Qibtiya Heri Gunawan Dept. of Electrical Eng. Education Universitas Pendidikan Indonesia Bandung Indonesia Dept. of Electrical Engineering UIN Sunan Gunung Djati Bandung Indonesia Indonesian Tadris Study Program UIN Sunan Gunung Djati Bandung Indonesia

Coplanar waveguide (CPW) antennas are widely used in wireless communication systems because they can be easily integrated with microwave circuits. This article describes a method for improving the performance of CPW antennas by incorporating a slot into the patch design. The antenna was fabricated on an FR4 substrate with dimensions of 43 mm x 40 mm and a thickness of 1.6 mm. The patch section of the antenna was modified by incorporating a slot. The size and shape of the slot were adjusted to achieve optimal performance. The most effective modified design was then fabricated and its properties were measured. The fabricated antenna exhibited an operational frequency range of 2.24 GHz to 7.30 GHz. It also had an omnidirectional radiation pattern and a maximum gain of 5.825 dB.

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Simulation of the potential for a hybrid power plant in a Puri Indah Permai Residence using HOMER software

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AIP Conference Proceedings 2024年第1期3140卷

作者： Ahmad Rosyid Idris Ahmad Rizal Sultan Sarma Thaha Ilham Ababil Ahmad Electrical Engineering Study Program Department of Electrical Engineering Politeknik Negeri Ujung Pandang Makassar Indonesia

Population growth and improvements in people’s lifestyles encourage increased consumption of electrical energy. Fossil energy as a fuel for providing electricity has very limited availability so a transition to renewable energy is needed. One area that can be an alternative to renewable energy is the Puri Indah Permai residence in South Sulawesi with quite good sun intensity and wind speed. This research aims to find out the amount of electrical energy that can be produced from a hybrid power plant at the Puri Indah Permai housing complex, to find out the amount of costs required to produce each kWh of electricity, to find out the comparison of production costs from the hybrid power plant at the Puri Indah Permai residence to the tariff. basic electricity PT. PLN and to find out the investment costs for a hybrid power plant in the Puri Indah Permai housing complex. This research uses simulations using Homer software version 3.14.2. It can be concluded that the electrical energy that can be produced on a land area of 100,000 m2 for scenario 1 is 1,574,030 kWh/yr and for scenario 2 is 1,328,351 kWh/yr., the energy production cost for each kWh of electricity is Rp. 3600 for scenario 1 and scenario 2 of Rp. 1356. The comparison of hybrid energy production with PLN’s basic electricity tariff is 1:2.66 for scenario 1 and scenario 2 is 1:1.13. The investment cost for this power generation system for scenario 1 is Rp. 7.54 billion and scenario 2 amounting to Rp. 24.10 billion.

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Optical character recognition and long short-term memory neural network approach for book classification by librarians 6

Optical character recognition and long short-term memory neu...

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6th International Conference on Mathematics, Science, and Education, ICMSE 2019

作者： Rosita, Y.D. Sukmaningtyas, Y.N. Study Program of Informatics Engineering Universitas Islam Majapahit Indonesia

The book is classified by librarians that use Decimal Dewey Classification (DDS) System. It is used for cataloging and indexing books. DDC has three divisions, a ten, a hundred, and a thousand. The book subject is reflected in each division. Commonly, to know the book content, librarians read the book title. Then, they identify the book index in DDC system. Nevertheless, it requires more time. To read the book title, Optical Character Recognition (OCR) aids them to get the book title efficiently that convert the image of the book cover into the text-editable. Librarians use a web camera to scan the book cover, especially the book title area. There are three steps for pre-processing, the lowercase changing, the useless word removing, and tokenizing. To detect the book categories, Long Short-Term Memory Neural Network is good implemented in this research. It is almost used for text classification. In this research, It gives high performance that achieves more than 92% accurately. © Published under licence by IOP Publishing Ltd.

关键词： Brain

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System Design Teaching Model in Informatics engineering study program 1

System Design Teaching Model in Informatics Engineering Stud...

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1st International Conference on Vocational Education and Technology, ICONVET 2018

作者： Supriana, C.E. Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

Design teaching which is part of the system development life cycle, both information systems and application systems is very important to be taught, learned and understood in the informatics engineering study program. System design teaching in private universities in Indonesia whose students are very diverse in terms of abilities and skills require teaching materials, lecture strategies, quality of lecturers and facilities that must also be able to adapt to the challenges and complexity in teaching. The study of system design teaching uses Hevner's information systems research framework which includes the steps of constructing artifacts in the form of constructs, models, methods, instances and evaluation of artifacts using case study in informatics engineering lecture. The use of the framework is intended to support business strategies and processes in study programs and to ensure the relevance of research. The result of research is a model and evaluation of the model. First, this research will produce a system design teaching model that can be used as a reference in the informatics engineering study program to produce graduates with good literacy, skills using the stages of system design, understanding user needs and system design capabilities. Second, evaluating the model that has been built by applying it to the case study on human computer interaction lecture and measuring the results of lectures to improve the quality of lecture material, teaching and students. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Students

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Testing the Inference Accuracy of Accelerator-Friendly Approximate Phylogeny Tracking

Testing the Inference Accuracy of Accelerator-Friendly Appro...

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2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems, ALIFE-CIS 2025

作者： Moreno, Matthew Andres Ranjan, Anika Dolson, Emily Zaman, Luis University of Michigan Department of Ecology and Evolutionary Biology Ann Arbor United States Center for the Study of Complex Systems University of Michigan Ann Arbor United States Michigan Institute for Data and Ai in Society University of Michigan Ann Arbor United States Undergraduate Research Opportunities Program University of Michigan Ann Arbor United States Michigan State University Department of Computer Science and Engineering East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States

ISBN: (纸本)9798331508371

Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, agent-based approaches provide an opportunity to collect high-quality records of ancestry relationships. Such phylogenies can provide insight into evolutionary dynamics within these simulations. Previous work generally tracks lineages directly, yielding an exact phylogenetic record of evolutionary history. However, challenges exist in scaling direct ancestrytracking approaches to highly-distributed, many-processor evolution in silico. An alternative approach is to estimate phylogenetic history via noncoding annotations on digital genomes, akin to how bioinformaticians build phylogenies by assessing genetic similarities between organisms. Recent work has extended this 'hereditary stratigraphy' approach to support powerful hardware accelerator platforms, such as the Cerebras Wafer-Scale Engine. Although these second-generation 'surface'-based hereditary stratigraphy algorithms have demonstrated order-ofmagnitude speedups over first-generation 'column'-based algorithms, it remains unknown how they impact the accuracy of reconstructed phylogenies. To address this question, we assessed reconstruction accuracy under alternative configurations across a matrix of evolutionary conditions varying in selection pressure, spatial structure, and ecological dynamics. Encouragingly, we find that the second-generation approaches provide higher reconstruction quality across most surveyed conditions. © 2025 IEEE.

关键词： Biostratigraphy

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Interior design study of lecturer rooms at E12 building 2ndfloor UNNES-learn from COVID-19 pandemic 9

Interior design study of lecturer rooms at E12 building 2ndf...

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9th engineering International Conference, EIC 2020

作者： Purnomo, A. Study Program of Architecture Department of Civil Engineering Faculty of Engineering Universitas Negeri Semarang Kampus Sekaran Building E4 Gunungpati Semarang50229 Indonesia

The covid-19 pandemic case has changed the structure of life in all aspects throughout the world. The field of man-made environment or architecture is no exception. The interior arrangement of a building, as part of the man-made environment, is also affected. The interior design of a building today seems to be obliged to participate in following the standards of new health-protocols in the new normal *** about the interior of the building that has already been utilized? Of course it requires further study to find out whether the interior of a building can be said to be healthy or not. This study aims to examine the interior design of the lecturer room E12 building 2nd floor UNNES in terms of health that is emphasized from the behavior of its users by referring to the situation of the covid-19 pandemic and its future prospects. The research method used is by field observations to search visual data, observing user behavior and textual data. Those who are categorized as users of the lecturer room E12 building 2nd floor UNNES are lecturers from the Department of Architecture, students, administrators and guests. The results of this study indicate that based on the pattern of user behavior and associated with the standard requirements of space, area, volume of space, material and infrastructure conditions, interior design of lecturer room E12 building 2nd floor UNNES, is included in healthy category, although there are several minor corrections that can be included as suggestions for improvement in order to adjust to the new normal era during the covid-19 pandemic period and thereafter. © Published under licence by IOP Publishing Ltd.

关键词： Floors

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The impact of land-use change on Cengklik Reservoir's sedimentation rate 7

The impact of land-use change on Cengklik Reservoir's sedime...

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7th International Conference on engineering, Technology, and Industrial Application, ICETIA 2020

作者： Pudyastuti, Purwanti Sri Yakan, Annisa Fathi Abdurrosyid, Jaji Budinetro, Hermono S. Civil Engineering Study Program Faculty of Engineering Universitas Muhammadiyah Surakarta Jl. A. Yani Tromol Pos I Pabelan Kartasura Surakarta57102 Indonesia

The Cengklik Reservoir is operated for irrigation of rice fields in 3 sub-districts in Boyolali Regency, namely Sambi, Ngemplak, and Nogosari. At the present time, the volume of the Cengklik Reservoir has decreased and resulted in dryness during the dry season. One of the main causes is due to the high sedimentation rate. This research was conducted to evaluate changes in land use that resulted in sedimentation in the Cengklik Reservoir. Erosion prediction in this study uses USLE (Universal Soil Loss Equation) analysis. The amount of sediment obtained uses the standard erosion data from USLE calculations, namely by multiplying the amount of erosion by the SDR and the area of River Basin. The potential for erosion and sedimentation used land use data for 10 years, from 2009 to 2019. Based on the research, the amount of erosion and sedimentation in the Cengklik Reservoir was fluctuated with the highest amount occurring in 2016, with erosion of 9,292 tones/ha/year and sedimentation of 4304,154 tons/year. In general, erosion and sedimentation have increased from 2009 to 2019. The classification of erosion in the Cengklik Reservoir according to this study was categorized as light erosion. The trap efficiency used in this study was calculated using formulae based on the research of Heinemann (1981) using the Brune method for small reservoirs with an area of less than 0.5 km2. In general, based on this study, the Trap Efficiency in Cengklik Reservoir was 95.254%. © Published under licence by IOP Publishing Ltd.

关键词： Erosion

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Image Processing Implementation to Classify Coffee Fruit Ripeness Using K-Nearest Neighbor (KNN) Algorithm 8

Image Processing Implementation to Classify Coffee Fruit Rip...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Hussaini Dermawan, M. Farhan Witarsyah, Deden Syamsuar, Dedy Fakhrurroja, Hanif Luthfi, Ahmad Herdiansyah, Muhammad Izman Telkom University Faculty of Industrial Engineering Bandung Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Islamic University of Indonesia Faculty of Industrial Technology Department of Informatics Jogjakarta Indonesia Universitas Bina Darma Informatics Study Program Faculty of Science and Technology Palembang Indonesia

ISBN: (纸本)9798350326093

Coffee is one of the plantation crops that has long been a cultivated plant in Indonesia. The classification of coffee fruit maturity manually still has several weaknesses and requires a long process, has low accuracy and is inconsistent, this is because the determination is made subjectively by coffee farmers. As for the classification of coffee fruit maturity levels automatically, it can be faster with objective determination, therefore the use of image processing is relatively easier, faster, and based on a quantified descriptive assessment to determine coffee maturity. Image Processing is a method used to process or manipulate images in 2-dimensional form. In the classification process, there are many methods used to obtain classification of objects based on training data. One of the algorithms used for the classification process is K-Nearest Neighbor (KNN). KNN is a classification technique for objects based on training data that is the closest or has similar characteristics to the object. KNN includes supervised learning algorithms, where the results of the new query instance are classified based on the majority of the categories in K-Nearest Neighbors (K-NN). The finding indicated that class classification of ripe and unripe were 88,24 % and 100% respectively with 93,33% accuracy level. © 2023 IEEE.

关键词： Classification (of information)

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Optimizing the Future of Production: Addressing Challenges in Job Shop Scheduling

Optimizing the Future of Production: Addressing Challenges i...

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Electronic and electrical engineering and Intelligent System (ICE3IS), International Conference on

作者： Teddy Nurcahyadi Christian Blum Mechanical Engineering Study Program Engineering Faculty Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia Institut d'Investigació en Intel·ligència Artificial Consejo Superior de Investigaciones Científicas Barcelona Spain

ISBN: (数字)9798350378368

ISBN: (纸本)9798350378375

Job shop scheduling methods are among the earliest optimization techniques that have been well-studied since 1950s. This fact reflects the prevalence of job shop scheduling problems in our daily lives, and hence, the importance of methods and tools needed to solve them. Human civilization has been evolving rapidly in the last several decades, presenting more difficult scheduling problems and the need to solve them efficiently. This article assesses the existing problems and optimization techniques in job shop scheduling. Furthermore, current and future challenges in this area are highlighted.

关键词： electrical engineering Job shop scheduling Metaheuristics Production Human factors Market research Deep reinforcement learning Dispatching Intelligent systems

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