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1st International Conference on Computer science and Applied Mathematic, ICCSAM 2018

作者： Syahputa, Zulfahmi Zarlis, M. Nasution, Beny B. Informatics Engineering Study Program Magister Faculty of Computer Science Information Technology Universitas Sumatera Utara Medan Indonesia

Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating system, so the real-time system can be done on Raspberry Pi. The real-time applied in the application needs to be tested with the Nyquist theory. The purpose of this study was to get real-time system measurements available on Windows 10 IoT. This test is done using the Nyquist theory by calculating the results of measurements on mp3 streaming performed on Windows 10 IoT. © Published under licence by IOP Publishing Ltd.

关键词： Real time systems

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Analysis of Decision Tree and Smooth Support Vector Machine Methods on Data Mining 1

Analysis of Decision Tree and Smooth Support Vector Machine ...

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1st International Conference on Computer science and Applied Mathematic, ICCSAM 2018

作者： Sitepu, Natalina Br Sawaluddin Zarlis, M. Efendi, Syahril Dhany, Hanna Willa Informatic Engineering Study Program Magister Faculty of Computer Science and Information Technology Universitas Sumatra Utara Medan Indonesia

This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This research was conducted by conducting an experiment on STMIK Neumann Medan student data. In this study, it was concluded that Decision Tree performance is better than SSVM, Decision Tree gets very good results that promise to help find the best students to get scholarships. This study is better than SSVM. The training process has a difference of 11.04% and the testing process is 10.08% with each Accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Decision trees

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Characterization of crystal structure and mechanical properties of polycaprolactone-hydroxyapatite-collagen nanofiber for scaffold anterior cruciate ligament (ACL) applications

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AIP Conference Proceedings 2022年第1期2663卷

作者： Faika Hanum Salsabilah Djony Izak Rudyardjo Sofijan Hadi Tahta Amrillah Aminatun Aminatun 1Program Study of Biomedical Engineering Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 2Program Study of Physics Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 3Program Study of Chemistry Department of Chemistry Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 4Program Study of Nanotechnology Faculty of Advance technology and Multidiscipline-Universitas Airlangga Surabaya 60115 Indonesia

Recently, it was found that the case of knee injuries could reach a prevalence of 48 per 1000 peoples in one year, with 9% being categorized as Anterior Cruciate Ligament (ACL) injuries. The most common cause of ACL injuries is sports activities. Several strategies were used to heal this injury, such as a treatment, up to autographs bone graft surgery. Current research developments lead to the use of artificial ligaments to heal the ACL injuries which have many advantages over autografts. Thus, this present study aims to fabricate the artificial ligament using hydroxyapatite (HA)/collagen/polycaprolactone (PCL) nanofiber composites. Here, we try to determine the effect of variations of HA, collagen, and PCL compositions in the nanofiber composites by studying their crystal structure and mechanical properties (tensile strength). We use variations of PCL: HA: collagen compositions about of 50:45:5, 50:40:10, 50:35:15, 50:30:20, and 50:25:25 wt%, respectively, in the 10% w/v of solution concentrations. In this present research, the nanofiber was fabricated by using electrospinning method with a voltage of 23 kV, while, the distance between the needle and the collector of about of 15 cm. The XRD and tensile strength tests were used to study the effects of PCL: HA: collagen compositions. In the XRD test, we found that the PCL peaks were detected at 2θ = 21° and 23° and HA was found at 2θ = 31°. The PCL crystal size is found to be 47.82-86.87 nm and the degree of crystallinity is 24.31-36.87%. In the mechanical test, the Ultimate Tensile Strength (UTS) value was obtained in the range of 0.942 MPa-2.864 MPa. It was found that the PCL could increase the tensile strength. However, the obtained UTS value is still far from the UTS of the original human ACL value.

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The obstacles of green building implementation in Semarang city

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IOP Conference Series: Earth and Environmental science 2021年第1期700卷

作者： D N A Nugradi Study Program of Architecture Department of Civil Engineering Faculty of Engineering Universitas Negeri Semarang Indonesia

The Semarang City Government has issued a Mayor Regulation on Green Buildings since 2019. Since then the construction of buildings with a certain floor area in Semarang City must follow this regulation. Evaluating implementation constraints related to green building construction based on the experience of the development actors, is an important thing to do. This study aims to identify obstacles in realizing green buildings in the city of Semarang. Data collection was carried out through a questionnaire survey of respondents from development actors involved in green buildings such as contractors, consultants and project owners and bureaucratic officials related to green building licensing. Data analysis was performed using descriptive analysis to reach agreement between respondents. Next, a hierarchy of these constraints will be sought. Constraints found in realizing green buildings are: lack of socialization from the city government, alternative materials, lack of best practices, experts, and financing. For this reason, a strategy is needed to overcome these obstacles from every aspect or based on a combined consideration of all aspects.

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Electronic-offering of fresh fruit bunches oil palm by independent farmer with a blockchain approach

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AIP Conference Proceedings 2025年第1期3223卷

作者： Harison Marimin Sukardi Faqih Udin Yani Nurhadriyani Engineer Professional Education Study Program Universitas Andalas Padang Indonesia - 25000 Department of Agro-industrial Technology Faculty of Agricultural Engineering and Technology IPB University Bogor Indonesia - 16680 Department of Computer Science Faculty of Mathematics and Natural Sciences IPB University Bogor Indonesia – 16680

Indonesia meets the needs of 50% of the world's palm oil needs. Sources of Indonesian palm oil, 34 % are produced by independent smallholders. The lack of governance of independent smallholders leads to low productivity of their crops. Global market demands for palm oil derivative sources become an obligation to compete. The development of blockchain technology that favors traceability and transparency is applied in the supply agriculture sector, and this is an opportunity for how blockchain technology can help the palm oil supply chain become transparent and can find its source. This research uses the system development life cycle (SDLC) method. And business process model and notation in business model design. The results of the design of the FFB sale and purchase transaction system with blockchain technology have succeeded in connecting farmer transactions as FFB providers with traders and PKS as FFB buyers. Every transaction sent by the farmer will be locked by a hash, as immunity makes the data sent immutable. The system can display the traceability of transactions while maintaining the integrity of member information.

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Elbow angle estimation for medical rehabilitation device based on EMG sensor with ARIMAX method

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AIP Conference Proceedings 2022年第1期2663卷

作者： Amelia Lita I. Made Mas Dwiyana Prasetya Wibawa Alinda Anggraini Akif Rahmatillah Riries Rulaningtyas Alfian Pramudita Putra Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya 60115 Indonesia

In the development of medical rehabilitation tools, muscle signals or electromyographic (EMG) are often used as feedback from the body in order to facilitate normal movement patterns. Through this signal, the force, torque, and angle can be estimated to produce the desired movement in the robot to assist patients in rehabilitation therapy. There had been various research done on estimating the extremities' joint angle, including the system identification method with Auto-Regressive Integrated Moving Average with Exogenous Input (ARIMAX) model structure. This research aims to model biceps brachii's EMG signal and the elbow joint angle using the ARIMAX model structure. In modeling, the order of the model was selected using the methods of minimizing the AIC (Akaike Information Criteria) and RMSE (Root Mean Square Error) values. The reported results showed the comparison of the outcome and model orders from three data sets with a frequency sampling of 47.6690 Hz, l66.3248 Hz, and 935.6743 Hz, respectively. The frequency sampling of l66.3248 Hz results showed the best accuracy performance of the ARIMAX model structure. The model order which is selected based on the minimization of the RMSE value obtained the best estimate, while the order models were selected based on the minimization of the AIC value showed a more consistent performance on the data estimation and validation.

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Analysis of extreme weather used C-band radar and rain gauge for floods and landslides in Lombok

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AIP Conference Proceedings 2023年第1期2609卷

作者： Made Sutha Yadnya Yudist I. Wayan Sudiarta 1Electrical Engineering Communication Laboratory Engineering Faculty University of Mataram Mataram Indonesia 2BMKG Lombok Mataram Indonesia 3Physic Study Program Faculty of Mathematics and Natural Science University of Mataram Mataram Indonesia

This paper is collaboration between BMKG and the University of Mataram to mitigate landslides by utilizing C-band radar data and rain gauges in measuring rainfall as the main factor triggering disasters. In heavy and prolonged rains, there is a chance for disasters to occur. Based on the observations of the Lombok International Airport Meteorological Station (-8°76'59"LS and 116°27’'91"E), the 24-hour cumulative rain on January 30, 2021, the analysis results of 64 mm/h can be included in the category of extrime rainfall.

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Synthesis and characterization of folic acid-functionalized, doxorubicin-loaded magnetic nanoparticles as drug delivery system for cancer

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AIP Conference Proceedings 2023年第1期2536卷

作者： Prihartini Widiyanti Maria L. V. Theja Andi H. Zaidan Institute of Tropical Disease Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115. Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115. Physics Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya Indonesia 60115.

Cancer is one of the primary causes of death in the world and the prevalence in Indonesia reaches 1,4% per year. One method of the most developed cancer therapies right now is targeting drug delivery. Targeting drug delivery makes it possible for drugs to be delivered directly to the targeted cells and released once they reach the destination. The aim of this research is to develop a nanocarrier using folic acid-functionalized magnetic nanoparticles to improve the effectiveness of antitumor drugs for cancer therapy. The magnetic nanoparticles synthesis method used in this research is chemical synthesis. Chemical materials FeCl3 and FeCl2 are mixed with NH4OH until magnetic nanoparticles appear. The magnetic nanoparticles obtained are then coated using bovine serum albumin, loaded with the drug doxorubicin, and functionalized with folic acid. The characterization methods used are Brine Shrimp Lethal Test (BSLT), X-Ray Diffractometer (XRD), Particle Size Analyzer (PSA), and MTT Assay. The success of drug release test is performed using UV-Vis. The results of this research showed that the magnetic nanoparticles were non-toxic with no impurities, but had not passed the size requirement as a good nanocarrier. Drug release in acidic pH, which is 5.4, had the highest release rate, thus it would be suitable for cancer cells which have lower pH compared to normal cells. Cytotoxicity test using MTT Assay method with murine osteoblastic cell line MC3T3 cells showed quite high cell viability, so it will not affect normal tissues and cells. It can be concluded that folic acid-functionalized, doxorubicin-loaded magnetic nanoparticles have potential to be used as nanocarrier in drug delivery system.

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A first-principles study on the quantum tunneling of methylhydroxycarbene isomerization in various solvents 4

A first-principles study on the quantum tunneling of methylh...

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4th Padjadjaran International Physics Symposium 2019, PIPS 2019

作者： Susanti, E.D. Rusydi, F. Puspitasari, I. Fadilla, R.N. Aisyah, N.D. Ahmad, A. Research Center for Quantum Engineering Design Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia Department of Physics Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia Precision Sciences and Technology and Applied Physics Graduate School of Engineering Osaka University Suita565-0871 Japan Information System Study Program Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya60115 Indonesia School of Chemical Science and Food Technology Faculty of Science and Technology Universiti Kebangsaan Malaysia Bangi Selangor43600 Malaysia

Quantum tunneling phenomenon allows a high-barrier reaction to occur even though thermal energy is not sufficient to surmount the barrier. The phenomenon has been suggested to exist in the isomerization of methylhydroxycarbene which occured at 11 K. Here we study the quantum tunneling that occured in the isomerization of methylhydroxycarbene to acetaldehyde and to vinyl alcohol based on density functional calculations. The isomerization pathways are determined under the effect of various solvents which are modeled by polarizable continuum model (PCM). We use Wentzel-Kramers-Brillouin (WKB) approximation to calculate the tunneling probability (T) and extend the usefulness of T into isomerization rate. The results show that the solvents give a significant effect on the isomerization rate of methylhydroxycarbene to acetaldehyde but an insignificant one on the isomerization rate to vinyl alcohol. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Isomerization

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Canopy cover estimation based on support vector regression derived from Lidar & Landsat 8 OLI 40

Canopy cover estimation based on support vector regression d...

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40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019

作者： Hudjimartsu, Sahid Tampinongkol, Felliks Rudianto, Yoga Setiawan, Yudi Prasetyo, Lilik Budi Forests2020 Programme Environmental Analysis and Spatial Modelling Laboratory Department of Forest Resource Conservation Faculty of Forestry Bogor Agricultural University Bogor West Java Indonesia Geoinformatic of Informatics Engineering Study Program Faculty of Engineering and Science Ibn Khaldun University Jalan KH Soleh Iskandar KM 2 Tanah Sereal Bogor West Jawa Indonesia

Light detection and ranging (LiDAR) provides geospatial information with massive amounts of data to use in a variety of applications. Canopy cover percentage of tree crown is one application that is estimated through LiDAR data. This study aims to estimate a canopy cover derived from LiDAR used as reference data with multispectral Landsat 8 OLI. Statistical or machine learning approaches can be used to estimate a canopy cover. In statistical inference, the form of distribution chosen by the analyst and parameter is estimated from the data. This will be a problem in the construction function for the National scale, due to many ecosystems and then will have many functions for each ecosystem. Machine learning (ML) methods, in contrast, are various kinds of algorithms that are used to learn the mapping function or classification rules inductively, directly from the training data. ML can solve problems related to big data and global method and it will be used as a methodical approach to estimate canopy cover on the National scale. In this study, we use a support vector regression (SVR) as ML method to estimate the canopy cover. The estimated percentage of canopy cover will be used as one of the parameters to classify a forest. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved.

关键词： Ecosystems

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