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11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021

作者： Ke, Soong Cheng Mahamad, Abd. Kadir Saon, Sharifah Fadlilah, Umi Handaga, Bana Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor Batu Pahat Parit Raja86400 Malaysia Informatics Study Program Faculty of Communication and Informatics Universitas Muhammadiyah Surakarta Surakarta Indonesia

ISBN: (纸本)9789811681288

The society often faces a communication barrier with the deaf and mute community due to the lack of sign language translators. Hand gestures are used as a sign language to communicate between the ordinary people and the deaf people. However, the existing way to learn sign language is ineffective and inconvenient. The number of mobile translator applications for the Malaysian Sign Language on the market is less. The proposed system contains a sign detector mechanism using Support Vector Machine (SVM) to detect and interpret Malaysian Sign Language. The software used in this project were IntelliJ IDEA and Android Studio. This project's development consists of four main phases: dataset acquisition, dataset trainer, shape classification, and sign recognition. Each character is tested ten times to measure the performance of the developed system. The application is performed using an Android smartphone and successfully tested with character A to Z in a normal light condition with a maximum distance of 0.7 m. The successfully testing rate of this developed system is 90%. This application allows people to easily communicate with the deaf community because it is user-friendly and does not require an internet connection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Comparison of potential energy of solar radiation in rooftop modeling using different building levels of detail

Comparison of potential energy of solar radiation in rooftop...

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2023 Annual Conference, ASPRS 2023

作者： Ihsan, K.T.N. Sakti, A.D. Higuchi, A. Takenaka, H. Suwardhi, D. Wikantika, K. Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung Indonesia Graduate School of Science and Engineering Chiba University Chiba Japan Remote Sensing and Geographic Information Science Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung40132 Indonesia Center for Environmental Remote Sensing Chiba University Chiba263-8522 Japan

The potential for future energy crises is a problem the world is currently facing. Many countries are switching from fossil to renewable energy to prevent an energy crisis. One of the most developed renewable energy today is solar energy. Easy installation makes solar energy installation not only on a large scale but also on a home scale. Urban areas will be very suitable for building solar photovoltaic (PV) roofs due to minimal open areas. In installing rooftop solar PV, sound planning is needed to predict the energy potential that can be provided by solar energy on the rooftop of a building. Spatial modeling can be done to determine the energy potential and suitable location for rooftop solar PV installation. In building rooftop solar PV modeling, the level of detail of the building will affect the results of the model. The rooftop's shape and the building's height will affect the amount of solar radiation going into the building. However, the higher the level of detail of the building, the higher the cost and processing time will be. This study will review the differences in modeling the potential of rooftop solar PV using different levels of detail. This research will integrate solar radiation data from remote sensing to determine the energy potential of solar radiation and digital surface model data from photogrammetry to create a level of detail for buildings. Integration of solar radiation data and the level of detail of the building will use hillshade analysis. Hillshade analysis can review the shadow effect on the rooftop of a building which will be directly related to the potential of solar energy on the rooftop of the building. This study determines the energy potential on the rooftop of the building with different levels of detail, namely 0, 1, and actual shape, to determine the difference in energy potential in the three scenarios. Hopefully, this research will determine the best level of detail for modeling rooftop solar PV. The best model that can sho

关键词： Remote sensing

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Impact of Filter-Based Feature Selection on Prediction Model Performance for Early Detection of Stunting

Impact of Filter-Based Feature Selection on Prediction Model...

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International Conference on informatics and Computing (ICIC)

作者： Sri Handani Widiastuti Purwanto Adi Wibowo Ratih Wirapuspita Wisnuwardani Informatics Engineering Study Program Sekolah Tinggi Teknologi Bontang Indonesia Doctoral Program of Information System School of Postgraduate Studies Diponegoro Univercity Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro Univercity Semarang Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro Univercity Semarang Indonesia Faculty of Public Health Mulawarman Univercity Samarinda Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

This study investigates the impact of feature selection results using the filter method on the performance of predictive models for the nutritional status of children aged 0-23 months. This study aimed to understand how correlation-based feature selection methods affect the efficiency and accuracy of predictive models. The dataset comes from the Basic Health Research survey, which consists of 84 variables and around 130,000 data, including anthropometric, family, socioeconomic, and environmental information. In this study, various filter-based feature selection methods were applied to evaluate and identify features that have significant relationships with children’s nutritional status, both linearly and non-linearly. The mutual information method was used to identify complex relationships between features and target variables, while the Pearson Correlation Coefficient and information gain were used to assess the relevance of numerical and categorical features. Of the 84 variables in the dataset, 37 features were selected after the selection process. The model performance evaluation was carried out using the Random Forest (RF) and Gradient Boosting (GB) algorithms, by comparing the results between the dataset that had been selected and without feature selection. The RF model without feature selection produces accuracy: 0,84600, precision: 0,83958, recall: 0,84600, F1-score: 0,78962, and a computation time of 9 seconds. The GB model without feature selection produces accuracy: 0,86330, precision: 0,84722, recall: 0,86330, F1-score: 0,84925, and a computation time of 2 minutes 50 seconds. After feature selection and cross-validation, the RF model shows accuracy: 0,85701, precision: 0,83599, recall: 0,85701, and F1 score: 0,83484. The GB model shows accuracy at 0,86124, precision at 0,84226, recall at 0,86130, and F1 score at 0,84120.

关键词： Radio frequency Pediatrics Accuracy Correlation Computational modeling Predictive models Aging Feature extraction Prediction algorithms Numerical models

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Measurement analysis of the level of household preparedness for facing landslide in Bogor regency 2

Measurement analysis of the level of household preparedness ...

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2nd International Conference on Disaster and Management 2020, ICDM 2020

作者： Saputra, P.D. Rahmawati, C. Purnomo, K.S.H. Larosa, E. Nurhasanah Military Building Construction Engineering Study Program Faculty of Military Engineering Indonesia Defense University Bogor Indonesia Industrial Engineering Department Faculty of Industrial Technology Universitas Dirgantara Marsekal Suryadarma Jakarta Indonesia Master of Management Program Universitas Teknologi Yogyakarta Yogyakarta Indonesia Mechanical Engineering Education Faculty of Teacher Training and Education Universitas Negeri Yogyakarta Yogyakarta Indonesia Civil Engineering Study Program School of Engineering and Technology Tanri Abeng University Jakarta Indonesia

There are so many areas in Indonesia that are prone to landslides. Bogor is the regency with the most frequent landslides. Therefore, high community preparedness is needed to deal with the landslide, especially at the household level because it is the spearhead of preparedness and influence disaster risk. The objective of this research is to measure and analyze the level of household preparedness for facing landslide. The location of this research is in Cibadak Village, Bogor regency where a landslide disaster had happened. This is a quantitative research. The number of the samples were 100 household. Data collection was done by surveying samples and distributing questionnaires. The data would be analyzed with descriptive analysis, and the results of level of household preparedness would be categorized to five levels which were very prepared (80-100), prepared (65-79), almost prepared (55-64), less prepared (40-54), and not prepared (0-39). The results of the research are the average index value of Knowledge and Attitude (KA) parameter is 66.77, Emergency Planning (EP) parameter is 52.24, Warning System (WS) parameter is 64.80, Resources Mobilization Capacity (RMC) parameter is 51.25 and the level of household preparedness for facing landslide is 59.26 or and it is significant at the almost prepared level. © Published under licence by IOP Publishing Ltd.

关键词： Landslides

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Salacca zalacca extract's antiaging effect on aging genes, protein levels, and apoptosis in UV-induced fibroblast cells

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Journal of Taibah University Medical Sciences 2025年第3期20卷 349-358页

作者： Wahyu Widowati Dani Dani Vera Vera Teresa L. Wargasetia Fanny Rahardja Fen Tih Philips Onggowidjaja Rita Tjokropranoto Fadhilah H. Zahiroh Rizal Azis Didik Priyandoko Wahyu Surakusumah Dhanar S. Hadiprasetyo Faculty of Medicine Maranatha Christian University Bandung West Java Indonesia Bimolecular and Biomedical Research Center Aretha Medika Utama Bandung West Java Indonesia Biomedical Engineering Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok West Java Indonesia Biology Study Program Faculty of Mathematics and Science Education Universitas Pendidikan Indonesia Bandung West Java Indonesia Faculty of Pharmacy Universitas Jenderal Achmad Yani Cimahi West Java Indonesia

أهداف البحث يُمكن أن يُسرّع التعرض للأشعة فوق البنفسجية شيخوخة الجلد. ولاستخدام المواد الكيميائية المُضادة للشيخوخة آثار جانبية طويلة المدى. ومن المعروف أن المكونات الطبيعية لفاكهة الثعبان (سالاكا زالاكا) تتميز بخصائص حيوية نشطة، مثل البوليفينولات والفلافونويدات وحمض الكلوروجينيك وحمض الكافيين، والتي تُعدّ مُضادة للشيخوخة. طرق البحث تهدف الدراسة إلى تحديد قدرة مستخلص فاكهة الثعبان كمضاد للشيخوخة من خلال اختبار مُختبري. وقد حُلِّل محتوى المستخلص بواسطة الاستشراب السائل مع قياس الطيف الكتلي الترددي. وأُجري اختبار قابلية المستخلص للبقاء على خلايا الأرومة الليفية الجلدية البشرية باستخدام اختبار WST. وقد استُحثت خلايا الأرومة الليفية بالأشعة فوق البنفسجية كنموذج خلوي للشيخوخة المُبكرة. وأُعطيت 3 جرعات من مستخلص فاكهة الثعبان (6.25 و12.5 و25 ميكروغرام/مل) لخلايا الأرومة الليفية المُحرضة بالأشعة فوق البنفسجية. تم تحليل التعبير الجيني لجينات COL1A1 وMMP-1 وFGF-2 وGPX-1 باستخدام تفاعل البوليميراز المتسلسل الكمي في الوقت الحقيقي. وتم تحليل مستويات بروتينات الإيلاستين، والهيالورونيداز، وسيكلوكسيجيناز-2، و8-هيدروكسي ديوكسي غوانوزين، والميلاتونين باستخدام اختبار إليزا. وتم تحليل موت الخلايا المبرمج لخلايا الأرومة الليفية باستخدام قياس التدفق الخلوي. واستُخدم تحليل التباين أحادي الاتجاه للتحليل الإحصائي. النتائج أدى العلاج بـمستخلص فاكهة الثعبان إلى زيادة التعبير الجيني لجينات COL1A1 وFGF-2 وGPX-1، وانخفاض التعبير الجيني لجين MMP-1. كما زاد المستخلص من مستويات الإيلاستين والميلاتونين في خلايا الأرومة الليفية المُستحثة بالأشعة فوق البنفسجية. وبعد العلاج بـمستخلص فاكهة الثعبان، انخفضت مستويات بروتينات الهيالورونيداز وسيكلوكسيجيناز-2 و8-هيدروكسي ديوكسي غوانوزين مقارنةً بمجموعة التحكم الإيجابية. نجح مستخلص فاكهة الثعبان أيضًا في الحفاظ على حياة خلايا الأرومة الليفية وتقليل موت الخلايا المبرمج فيها. الاستنتاجات يمتلك مستخلص فاكهة الثعبان القدرة على أن يكون عاملًا مضادًا للشيخوخة من خلال اختباره في المختبر.

关键词： Antiaging Antioxidant Chlorogenic acid Salacca zalacca Ultraviolet

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Life cycle analysis of palm kernel shell gasification for supplying heat to an asphalt mixing plant

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Waste Disposal and Sustainable Energy 2020年第1期2卷 55-63页

作者： Sunu Herwi Pranolo Prabang Setyono Muhammad Akvis Fauzi Study Program of Chemical Engineering Faculty of EngineeringUniversitas Sebelas MaretSurakartaIndonesia Magister Study Program of Environmental Science PostgraduateUniversitas Sebelas MaretSurakartaIndonesia

The Government of the Republic of Indonesia states that the thermal energy for hot-mixed asphalt production shall be supplied by the direct combustion of fossil fuels in the form of diesel oil,natural gas,or fuel gas from coal gasification which may generate GHG *** are able to substitute the fossil fuels through gasification *** converts the biomass using limited air into gaseous fuel containing mainly CO and H_(2) that are subsequently combusted to produce heat,carbon dioxide,and *** is obvious that the CO_(2) is then absorbed by the plants for photosynthesis,main-taining a balanced closed *** study examines the level of global warming potential of this system for supplying heat based on the openLCA v1.9 *** analysis used a gate-to-gate approach to evaluate scenarios of shell gasification to produce 1 metric tonne of hot-mixed *** scope covers raw material supply and transportation,palm kernel shell gasification,and *** evaluation concludes that gasification could potentially reduce CO_(2) *** impact analysis and interpretation of the results using the openLCA database of Traci 2.1 recommend that greater CO_(2) emis-sion reduction is possible using palm kernel shell gasification,not only for supplying heat but also for electricity generation to operate all electrical equipments.

关键词： Global warming Gasification Palm kernel shell Life cycle analysis Hot-mixed asphalt

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Improvement of E-Nose Sensor Signal Using MVA, FFT, DWT Methods on Pineapple Fruit Maturity

Improvement of E-Nose Sensor Signal Using MVA, FFT, DWT Meth...

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International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Mhd Arief Hasan Riyanarto Sarno M. Syauqi Hanif Ardani Informatics Department Intitut Teknologi Sepuluh Nopember Surabaya Indonesia Informatic Engineering Study Program Universitas Lancang Kuning Pekanbaru Indonesia

In this study, we built an Electronic Nose to detect pineapple ripeness. We designed a prototype E-Nose using a wooden crate. Inside the box, we built the E-Nose using 9 MQ sensor circuits connected to the Arduino Microcontroller. In the crate, we put an object, namely a pineapple with three levels of ripeness (ripe, half ripe, and unripe), each weighing 1kg placed in three different positions (5cm, 20cm, and 35cm) from the position of the sensor array (E-nose). We converted the signal output results into ppm units. We compared the value of each fruit signal based on the level of ripeness and distance using E-Nose. We used several signal processing methods (wavelets) for signal processing. Then, we improved the signal generated using wavelet. The wavelet methods used are Moving Average, Fast Fourier Transform (FFT), and Discrete Wavelet Transform (DWT). The contribution of this research is to see the influence of the signal valuegenerated from the sensor (MQ Sensor) to the position (distance) of the object (fruit) and its influence on the level of maturity (fruit). Then signalgenerated from the sensor we make improvements with the mva, fft, and dwt methods.

关键词： Electrical engineering Microcontrollers Fast Fourier transforms Array signal processing Prototypes Electronic noses Discrete wavelet transforms

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Challenges on Cloud Computing Migration Strategy for Music Industry: A Systematic Literature Review

Challenges on Cloud Computing Migration Strategy for Music I...

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International Conference on informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Hijir Della Wirasti Henki Seta Deden Witarsyah Hamonagan K Prabu Ayu Azzahro Bayu Hananto Faculty of Engineering Industry Telkom University Bandung Indonesia Informatics Study Program Computer Science Faculty Universitas Pembangunan Nasional Veteran Jakarta

Cloud computing has emerged as a transformative technology that offers numerous benefits to various industries, including the music industry. Cloud computing has revolutionized the way businesses operate and has had a significant impact on various industries, including the music industry Cloud computing, with its scalability, flexibility, and cost-effectiveness, presents an opportunity for the music industry to leverage technology to enhance its operations and meet the evolving demands of the digital era. This paper presents a systematic literature review on cloud computing migration strategies specifically tailored for the music industry. The review aims to identify existing research, frameworks, and best practices related to cloud migration in the music industry, as well as highlight the challenges and opportunities associated with such migrations. Through an analysis of relevant literature, this study provides valuable insights to assist music industry stakeholders in developing effective cloud migration strategies.

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Development of application Information System in Rhee District 1

Development of application Information System in Rhee Distri...

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1st Virtual Conference on engineering, Science and Technology, ViCEST 2020

作者： Esabella, Shinta Intan, Hikmawati Hidayatullah, Muhammad Andriani, Titi Gunawan, G. Informatics Department Faculty of Engineering Universitas Teknologi Sumbawa Indonesia Electrical Engineering Department Faculty of Engineering Universitas Teknologi Sumbawa Indonesia Physics Education Study Program Faculty of Teacher Training and Education Universitas Mataram Indonesia

Management of patient data at the Technical Implementation Unit of the Community Health Center (UPT. Puskesmas) of Rhee Sumbawa District has not been fully computerized. The need for the development of an Information System to store medical records (history) of patient data. The research aims to develop information systems with descriptive research methods. For software development methods using Waterfall Models and built with Microsoft Visual Studio C# software and databases stored in Microsoft SQL Server software. Software testing uses Black Box Testing, which is testing software in functional terms. The results of research into digital data technology products that function to enter, change, delete data and minimize the time to find the data needed to improve the effectiveness and efficiency of data management. © Published under licence by IOP Publishing Ltd.

关键词： Information management

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Understanding Motorcycle Rider Behavior in Indonesia Using Naturalistic Driving study

SSRN

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SSRN 2024年

作者： Halim, Winda Puspasari, Maya Arlini Prasetyo, Ridwan Aji Budi Ardiansyah, Yusuf Huda, Listiani Nurul Lahay, Idham Halid Lady, Lovely Didin, Fatin Saffanah Mahachandra, Manik Iridiastadi, Hardianto Department of Industrial Engineering and Management Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Industrial Engineering Program Study Faculty of Engineering Universitas Kristen Maranatha Bandung Indonesia Department of Industrial Engineering Faculty of Engineering Universitas Indonesia Indonesia Departemet of Psychology Faculty of Social and Political Sciences Brawijaya University Indonesia Department of Industrial Engineering Faculty of Engineering Universitas Sumatera Utara Indonesia Department of Industrial Engineering Faculty of Engineering Universitas Negeri Gorontalo Indonesia Industrial Engineering Departement University of Sultan Ageng Tirtayasa Indonesia Departement of Industrial Engineering Faculty of Industrial Technology Institut Teknologi Sumatera South Lampung Indonesia Industrial Engineering Department Engineering Faculty Diponegoro University Central Java Semarang Indonesia

In Indonesia, motorcycle is the most popular form of transportation because of their convenience and economical. Motorcycles dominate more than 85% of vehicles on the road. Ironically, the number of motorcycle-related accidents rise and now account for about 73% of all traffic accidents. Aim of this research is to understand motorcyclist behavior, other road user, and related traffic conditions. The Naturalistic Driving study (NDS) method is used to gather data. A camera was mounted to participant’s motorcycle to capture their driving behaviors and traffic condition. The participants of this study were drawn from 6 cities across 3 major islands in Indonesia. There were 79 participants with a total journey distance approximately 1036 km and a journey duration nearly 40 hours. The video recordings were then observed by observers in each city to determine the safety critical events (SCE). There was no significant difference in the number of SCEs that occur in each city, but there was a significant difference when it comes to the causes of SCEs. This research found that the largest number of violations (30-80%) occur due to factors related to other road user, such as near crash with other road users when overtaking vehicles in front of them, other road users from the opposite direction driving in the wrong lane/side or lane used by the driver, or near crash with other road users who suddenly change lanes in front of them. In this research, it was also found that the number of SCEs that occurred was not affected by the distance and driving duration. This study supports previous research that the main cause of violations is human error. However, the occurrence of SCE is not only caused by the driver himself but through this research it is found that other road users are a critical factor. © 2024, The Authors. All rights reserved.

关键词： Motorcycles

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