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IoT smart wheelchair (I-SMILE): Ease of accessibility of persons with disability in society 5.0 to realize sustainable development goals in 2030

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AIP Conference Proceedings 2024年第1期3215卷

作者： Eriyadi Nata Syahputra Dananjaya Ariateja Tiara Rahayu Randi Agustio Corrina Lailatul Fadjri Wina Nur Saputri Electrical Engineering Study Program Departement of Defense Science and Technology Universitas Pertahanan Republik Indonesia Bogor Indonesia 16810 Biology Study Program Departement of Mathematics and Natural Sciences Universitas Pertahanan Republik Indonesia Bogor Indonesia 16810

WHO reports in 2022, that more than 2.5 billion people need assistive products such as wheelchairs in support of persons with disabilities. The research was conducted by making an I-SMILE prototype design and a mobile app mockup design. Followed by analysis and evaluation of the shortcomings of the built system are carried out consisting of the input part a network of sensors, the main control unit, and an output section consisting of several actuators. The results of the analysis of the trial are the ultrasonic sensor HC-SR04 itself where if the wheelchair approaches a barrier object such as a wall and others within a distance of 30 cm. MPU6050 sensor where this sensor is a Gyro sensor that is used to detect the level of the slope. The GPS sensor is Ublox Neo 7m which can use to monitor the position. The gas sensor is MQ 135 which can detect several gases such as alcohol, CO2, ammonia, and cigarette smoke. The heart rate detection sensor MAX 30100 monitors the heart rate in real-time, anti-decubitus cushion pillow, a belt for safe movement, three buttons for helping eat, go toilet, and ask for help, and all sensors monitor via smartphone. The innovation of the IoT Smart Wheelchair (I-SMILE) concept as an assistive technology in the society 5.0 era for increasing the functional independence of persons with disability. This is in line to achieve the 2030 SDGs towards the fulfillment of the rights of a person with disabilities in protection, quality, and sustainable education, and decent and equitable work.

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Land suitability analyze for cocoa development based on square root

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AIP Conference Proceedings 2023年第1期2596卷

作者： Nirmala Juita Husnul Mubarak Erwin Wijaya Emmy Fadhila Nurmaranti Alim Department of Soil Science Faculty of Agriculture Hasanuddin University Agriculture Engineering Study Program Faculty of Agriculture Hasanuddin University Program study of Agroecotechnology Faculty of Agriculture Sulawesi Barat University

Indonesia is the world's third-largest cocoa producer and exporter after Ghana and Pantai Gading. Cocoa is in great demand by people in various parts of the world because Cocoa can be processed into chocolate in food and drinks that benefit the community. One approach that is often used to evaluate cocoa land suitability is a parametric approach with a square root. The square root is part of the parametric approach in evaluating land suitability by assigning a value at a different limiting level to the nature of the land. On a standard scale, it is given a maximum weight of 100 to a minimum value of 0 then the land suitability class calculation is based on the square root. The stages of this research are: 1) Collecting secondary data and basic maps such as climate data, administrative maps, geological maps, soil type maps, and land use maps, 2) Making maps of land units 3) Preliminary surveys, 4) Sampling and analysis of soil samples in the laboratory, 5) analysis of the land and climate suitability, 5) Determination of actual and potential land suitability. The method used in this research is a parametric approach (Square root by Khiddir). The results showed that the parametric method's land suitability class (square root) was N1 (not suitable at present) at the observation points of profiles 1, 3, and 5. In contrast, the S3 land suitability class was found in profile 4. Limiting factors such as annual temperature, slope, soil depth, and coarse fragments are limiting factors that are difficult to repair. Base saturation and pH H2O with liming, or addition of organics.

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

作者： Matthew Andres Moreno Anika Ranjan Emily Dolson Luis Zaman Department of Ecology and Evolutionary Biology University of Michigan 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 Department of Computer Science and Engineering Michigan State University East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States

ISBN: (数字)9798331508371

ISBN: (纸本)9798331508388

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.

关键词： Surface reconstruction Accuracy Annotations Heuristic algorithms Computational modeling Biological system modeling Stratigraphy Phylogeny History Bars

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Computational study of Ventral Ankle-Foot Orthoses During Stance Phase for Post-surgery Spinal Tuberculosis Rehabilitation 1st

Computational Study of Ventral Ankle-Foot Orthoses During St...

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1st International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2020

作者： Putra, Alfian Pramudita Rahmatillah, Akif Pujiyanto Ain, Khusnul Rodiyah, Nur Khafidotur Pawana, I. Putu Alit Syahananta, Lolita Hapsari Dwi Dwiatma, Mohammad Rizki Hidayat, Arief Sofian Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Department of Physical Medicine and Rehabilitation Dr Soetomo General Academic Hospital Surabaya60286 Indonesia

ISBN: (纸本)9789813369252

Spinal Tuberculosis could cause abnormalities in the lower extremity, even after the surgery and can be treated with Ankle-Foot Orthoses (AFO). The patient with that condition has to stabilize their body because it tends to fall forward. Thus, a ventral AFO is needed to support them. This study aims to evaluate AFO design by using Finite Element Method (FEM) with two different thickness (2 and 4 mm). The material used was a Polyethylene Terephthalate (PET). Three subphases in the stance phase were simulated, namely initial contact, midstance, and terminal stance. The external force in the simulation was based on the patient’s weight (50 kg). The result showed that the highest stress was obtained from ventral AFO with a thickness of 2 mm at the terminal stance, 244.7 MPa. This value exceeded the Ultimate Tensile Strength (UTS) of PET which indicates the design would break. The ventral AFO with a thickness of 4 mm had lower stress than the UTS of PET. The strain of both designs was quite low with the maximum value of 0.019 from the ventral AFO with a thickness of 4 mm in the terminal stance. The deformation was also acceptable for both designs with the highest value of 39.67 mm from the ventral AFO with a thickness of 2 mm in the midstance. In conclusion, the ventral AFO with a thickness of 4 mm could be used for post-surgery spinal tuberculosis patient’s rehabilitation. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Patient rehabilitation

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment

Analyzing the Behavioral Aspects of Implementing Green IT in...

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International Conference on Information Management and Technology (ICIMTech)

作者： Dedy Syamsuar Fero Triando Maria Ulfa Darius Antoni Adele Mailangkay Deden Witarsyah Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Postgradute Department Universitas Bina Darma Palembang Indonesia Information System Study Program Computer Science Faculty Universitas Bina Darma Palembang Indonesia Faculty of Computer Science Universitas Indo Global Mandiri Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy.

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

Image Processing Implementation to Classify Coffee Fruit Rip...

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International Conference on Information Management and Technology (ICIMTech)

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

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.

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Blockchain Technology Based Credibility Verification in E-Journal Entities

Blockchain Technology Based Credibility Verification in E-Jo...

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2022 IEEE Creative Communication and Innovative Technology, ICCIT 2022

作者： Watini, Sri Kedah, Zulkarnain Lukita, Chandra Sokibi, Petrus Mustika, Gadis Rahardja, Reymund Yulianjani, Arsi Sukmana, Husni Teja University of Panca Sakti Bekasi Early Childhood Teacher Education Bekasi Indonesia University of Malaysian Computer Science Vice Chancellor Selangor Malaysia University of Catur Insan Cendekia Information System Cirebon Indonesia University of Raharja Information System Tangerang Indonesia University of Raharja Digital Business Tangerang Indonesia University of Raharja Information Management Study Program Tangerang Indonesia Syarif Hidayatullah Islamic University Lecture of Information Engineering Jakarta Indonesia

ISBN: (纸本)9781665468763

In the industrial era 4.0, it has surpassed increasingly complex technological advances in the information system that required a very high infrastructure and facilities and prevented fraud. Counterfeiting is a procedure following an entity, statistics, or documents (observe forged documents) with plans to deceive. Falsification of extensive information certificates is exacerbated by the current economic situation in Indonesia, which is currently occurring due to the widespread epidemic, namely COVID-19. The spread of the COVID-19 outbreak has had a significant impact and changes in all sectors, especially certificate forgery in Indonesia. The imitation of busy certificates is the main focus of this journal, focusing on journal publications combined with Blockchain technology. The sophistication of blockchain technology as authentication is comparing two or more items or additional tests to ensure the accuracy, correctness, or correctness of the information. This method uses qualitative methods with data sources based on case studies in controlled supervision with the basic concept of cryptography as the basis of analysis. From the decisions made, it is hoped that this will minimize the level of forgery of certificates widely measured during the COVID-19 era. © 2022 IEEE.

关键词： Blockchain

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Hypocenter dimension of 7.5 mw Palu earthquake using fractal approach 2

Hypocenter dimension of 7.5 mw Palu earthquake using fractal...

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2nd International Conference of Interdisciplinary Research on Green Environmental Approach for Sustainable Development, ICROEST 2020

作者： Rasimeng, Syamsurijal Alimuddin Rustadi Sinambela, Rudy Z. Mandang, Idris Bakri, Samsul Zaenudin, Ahmad Department of Geophysical Engineering Faculty of Engineering University of Lampung Indonesia Disaster and Mitigation Center Faculty of Engineering University of Lampung Indonesia Study Program of Geophysics Faculty of Mathematics and Natural Science Mulawarman University Indonesia Department of Forestry Graduate Program of Environmental Sciences University of Lampung Indonesia

Research on the Palu earthquake in the period of August to October 2018 has been carried out in the Palu Koro Fault (PKF) zone with a hypocenter of 5-20 km. This study aims to determine the fractal dimensions of these earthquakes based on the relationship between logarithmic frequency and earthquake magnitude correlation introduced by Gutenberg-Richter. Statistical correlation between logarithmic frequency and earthquake magnitude was calculated using the inversion approach. Based on the calculation results obtained fractal dimension value of 1.0378, which describes the seismicity pattern at a depth of 5-20 km. It indicates that the earthquakes triggered by the movement in rupture segments which seen as points along the PKF zone. © Published under licence by IOP Publishing Ltd.

关键词： Earthquakes

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Classification of apples based on color feature extraction and Euclidean distance search

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AIP Conference Proceedings 2024年第1期3048卷

作者： Dian Nursantika Erna Piantari Information System Study Program Department of Engineering Universitas Terbuka Tangerang Indonesia Department of Computer Science Universitas Pendidikan Indonesia Bandung Indonesia

Apple is a popular fruit in the world, until it became an icon by one of the leading software and hardware developers. The colors of apples that are often found in Indonesia are red and green, humans are recognize the color of the apple through sight, based on previous knowledge and experience. How about the computer, is the computer able to recognize the color of the apple? Through this research, it is expected to solve these challenges, so the research results can be applied in various devices, for example for grade classification of apples, identification of types of apples, and educational games. The research consists of two parts, namely training and testing. Training is conducted to train images by means of preprocessing, feature extraction, and feature collection. Testing is carried out to determine the ability of computers to recognize apples with the stages of preprocessing, feature extraction, and feature matching using the Euclidean distance algorithm. The images used in this study were 40 training images and 65 testing images. The results of testing on the training image have an accuracy rate of 100%, while the accuracy level of the new image is 84% recognized as true and 16% recognized as false.

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Composition of pigments in brown algae collected from Bolok marine waters

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AIP Conference Proceedings 2024年第1期3073卷

作者： Alfred G. O. Kase Yohanes Merryanto Wilson Tisera Donny M. Bessie Rockie R. L. Supit Dionisius A. Samsop Beatrix M. Rehatta Cristiani Soi Meo Umbu Paru Lowu Dawa Ayub U. I. Meko Lienda A. Handojo Fisheries and Marine Science Artha Wacana Christian University Kupang Indonesia Chemical Engineering Study Program Institut Teknologi Bandung Bandung Indonesia

Brown algae live and are attached to the bottom of the waters that can penetrate sunlight like land plants in general, macro algae have chlorophyll or other accessory pigments. Apart from being food ingredient, algae have also been widely used for medical purposes because it contains antioxidants so it is very good for health in addition to the function of photosynthesis. Each species of algae, has a different type of photosynthetic pigment, so that the type of color of light that is absorbed is also different to achieve an optimal photosynthesis process. Optimal photosynthesis process, in the end will directly affect all biological processes of the algae, for growth. The purpose of this study was to determine the composition of the types of pigments contained in the brown algae. The method used in this research was survey method for sample collection, Thin Layer Chromatography (TLC) and Spectrophotometry method are used for the separation of pigment types. The results of the study in the coastal waters of Bolok found three species of brown algae from Phaeophyta Division, namely Dictyota dichotoma, Pandina australis and Sargassum polycystum species. Pigment composition obtained 4-5 fractions with β-carotene pigment type, at Rf 1.0 while chlorophyll pigment is between Rf 0.5 – 0.6, pheophytin type is between Rf 0.4 – 0.5 while some groups of xanthophyll pigments found at the Rf value 0.2 – 0.3.

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