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Review the Utilization of Big Data and K-Means Algorithm in Supporting The Determination of Village Status As Support To The Ministry of Village PDTT

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Journal of Physics: Conference Series 2021年第1期1811卷

作者： Paska Marto Hasugian Harvei Desmon Hutahaean Bosker Sinaga Sriadhi Saronom Silaban Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan 20221 Indonesia Departement of chemistry Universitas Negeri Medan Medan 20221 Indonesia

Big data refers to big data, fast data processing, diversity of data structures, and data values so that it is not possible to be processed with outdated methods. Big data technology is used in various industrial sectors. Big data technology is the whole technology that can handle Big Data. Some of the uses of big data are based on the largest significant data traffic sources such as social media, financial transactions, public data, sensor data, and corporate data. The same is the case with the status of so many villages in Indonesia, so it is better to use big data for the classification of village status based on the village index build by involving an algorithm process. This research aims to produce a description of the role of big data in supporting activities in a grouping. The method used is a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies that have been published in national and international journals. A decision is made that big data has been widely used in different circles to facilitate performance and speed up the decision-making process.

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Vibration problem due to railway loading

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IOP Conference Series: Earth and Environmental science 2021年第1期739卷

作者： F Alami L Afriani Faculty of Engineering University of Lampung Bandar Lampung Indonesia Postgraduated Student of Study Program of Environmental Science University of Lampung Bandar Lampung Indonesia

Train is one of transportation mode is increasingly polular in Indonesia nowdays, although in developed countries this transportation has long been a very advanced mode of mass transportation. Problems due to railroad tracks adjacent to densely populated settlements cannot be avoided. Problems such as noise levels can interfere with the health and comfort of the environment, vibrations in the surrounding environment due to passing trains cause some damage to civilian buildings such as residents' houses and high rise buildings as well. This field study shows the potential problem due to mass train loading (Babaranjang) in Bandar Lampung.

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Sustainable Community-Based Disaster Management (CBDM) in Wonolelo Village, Bantul Regency, Special Region of Yogyakarta, Indonesia

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IOP Conference Series: Earth and Environmental science 2021年第1期764卷

作者： Widyasari Her Nugrahandika Ramadhani Nuresa Putri Urban and Regional Planning Study Program Architecture and Planning Department Engineering Faculty Universitas Gadjah Mada 2 Grafika Street Sleman Regency Special Region of Yogyakarta Indonesia

Special Region of Yogyakarta is passed by the ring of fire and become a province which prone to disasters, especially earthquake. In 2006, Wonolelo Village was one of the villages hardest hit by the earthquake. Therefore, understanding and awareness of disaster management are important. Currently, disaster management at local is widely applied. According to Van Niekerk, et al (2017), the approach at the local level aims to change the perspective of disaster management in terms of issues, challenges and problems faced by the community. For this reason, Wonolelo Village has a disaster-aware community, the Disaster Risk Reduction Forum (FPRB). The purposes of this research are to identify the processes and factors that influence the success of sustainable CBDM in Wonolelo Village. The method used is qualitative. Based on the analysis, Wonolelo Village has three stages of the disaster management process, namely the identification, the planning and implementation stage, and the development stage. While the factors that influence the success of disaster management in Wonolelo Village are the choice of Wonolelo Village as a Pilot Project by NDMA, recurring disaster events, volunteers who have team awareness, the existence of cooperation culture in the community, and budget allocation from Wonolelo Government for CBDM.

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Participatory ergonomics in developing e-waste collection network of UNTAR-UPH industrial engineering students

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IOP Conference Series: Earth and Environmental science 2021年第1期794卷

作者： H J Kristina A Christiani C O Doaly Industrial Engineering Department Universitas Tarumanegara Jakarta Indonesia Industrial Engineering Study Program Faculty of Science and Technology Universitas Pelita Harapan Lippo Village Tangerang Indonesia

By using the principle of circular economy, the value of products and materials is maintained and utilized as long as possible, so that the landfill can be limited as little as possible. Electronic devices that are no longer used sooner or later will end up at the final processing site such as landfills or incinerators, where they will release toxic material into the air, soil and water, whereas the circular economy concept for e-waste can also be applied. Therefore, this research aims to make a small to medium size e-waste collection pilot project within the scope of UNTAR and UPH industrial engineering students, with participatoryergonomic approach. The research method used is action research anddata collected includes the number of core team students' participation, the amount of participation outside the core team, the form of participation, the network created, the average length of time for e-waste storage before donating, the amount of e-waste per category. In this project there were 102 students involved and divided into 19 groups. Total e-waste collected was 738 pieces.

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Chemical compounds in essential oil of nutmeg leaves (Myristica fragrans) from Batang Indonesia

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Journal of Physics: Conference Series 2021年第1期1943卷

作者： H P Kusumaningrum M Zainuri H Endrawati B D Loka I N Widiasa E Sulistyowati Laboratory of Biotechnology Study Program of Biotechnology Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia Laboratory of Oceanography Department of Oceanography Food Technology Department Faculty of Animal and Agricultural Sciences Diponegoro University Indonesia Chemical Engineering Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia. Architecture Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia.

Nutmeg oil has an important function as natural tropical biomedicine activity which commonly found in Batang region. This essential oil is one of the dominant traditional export product from Batang instead of patchouli oil, Clove oil, and lemongrass oil. The objective of the research was to analyze chemical compound of essential oil of nutmeg leaves from Batang region produced by traditional destillation. Research methods was conducted by GCMS method. The biomedical activity against some tropical diseases was analysed in-silico. The results showed that essential oil from nutmeg leaves showed potential antimicroabial activities in silico againts several tropical diseases in skin. The GCMS result showed 2-.BETA.-PINENE and .gamma.-Terpinene as the major compound with values 34,46% and 30,28%.

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Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic

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Scientific Reports 2025年第1期15卷 1-22页

作者： Noureddine, Oulad Naoui Mohamed, Sekkoum El Amine, Cherif Alzaed, Ali Gedfew, Meseret Abeje Ghoneim, Sherif S. M. Hussein, Enas E. Materials Energy Systems Technology and Environment Laboratory Department of Hydraulic and Civil Engineering University Ghardaia Bounoura Algeria Department of Civil Engineering Faculty of Civil Engineering and Architecture Amar Telidji University P. O. Box 37.G Laghouat 03000 Algeria Water Management and Treatment Laboratory University of Science and Technology of Oran Mohamed Boudiaf B.P. 1505 El M’Naouer Oran Algeria Architectural Engineering Program - Civil Engineering Department Faculty of Engineering Taif University Taif 21944 Saudi Arabia Department of Civil Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif 21944 Saudi Arabia Water Management Research Institute National Water Research Center Shubra El-Kheima 13411 Egypt

This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? In this paper, the Bat algorithm (BAT) with the Newton Method (NM), Bird Swarm Algorithm (BSA), Genetic Algorithm (GA), and Chicken Swarm Optimization Algorithm (CSO) are used as a hybrid model in arid and semi-arid zones in Saudi Arabia as well as for modeling rainfall, temperature, and solar radiation implications on evapotranspiration variability. Coupling between aridity and evapotranspiration over a long time can create flooding risks. This holistic modeling aims to reduce flooding risks and ensure the desired decision. Several models were employed to simulate some basins’ Potential and Actual evapotranspiration as case studies. The meteorological inputs of the hybrid models were calibrated and validated with metric evaluation for input and output of evapotranspiration, respectively. The results suggest that the application of a hybrid model can improve the accuracy of evapotranspiration simulations in terms of statistical parameters, whereas BAT–GA–NM reduced MAPE from 38.88 to 4.16% for Mekkah and from 14.94 to 2.04% for Medina and NSCE from − 0.17 to 0.97 for Mekkah and from 0.82 to 0.99%. Those parameters will provide a better understanding of evapotranspiration processes in watersheds and valuable information for early warnings of flooding risks. © The Author(s) 2025.

关键词： Evapotranspiration Hybrid metaheuristic Modeling Rainfall Solar radiation data Temperature

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Preparation of Nanocellulose-Alginate Nanocomposites for Chlorhexidine Digluconate Drug Carrier 1

Preparation of Nanocellulose-Alginate Nanocomposites for Chl...

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1st International Conference on Design and Application of engineering Materials 2018, IC-DAEM 2018 in conjunction with 11th Seminar Nasional Metalurgi dan Material, SENAMM 2018

作者： Evelyna, Angela Astifanni, Tiara Khumaira Ruth, Imelda Asri, Lia Purwasasmita, Bambang Sunendar Faculty of Dentistry Maranatha Christian University Indonesia Materials Science and Engineering Bandung Institute of Technology Indonesia Advanced Materials Processing Group Engineering Physics Study Program Bandung Institute of Technology Indonesia Research Center for Nanosciences and Nanotechnology Bandung Institute of Technology Indonesia

Root canal treatment failures generally caused by microorganisms that have ability to invade dentinal tubules. Chlorhexidine is widely known to effectively eradicate broad spectrum bacteria that infected dentinal tubules. The delivery of chlorhexidine to the infected site of root canal still becomes an issue. In order to increase the stability and to regulate the release of chlorhexidine, encapsulation of chlorhexidine digluconate was conducted by employing nanocellulose and alginate nanocomposites. Nanocellulose was prepared from palm kernel cake using acid hydrolysis method. Transmission electron microscopy images showed the formation of whisker and fiber nanocellulose with the average diameter of 20 nm. Resulting nanocellulose was combined with alginate in the presence of Ca2+ crosslinker. Scanning electron microscopy images displayed sphere and oval morphologies of microcapsules with diameter of 500 nm. The microcapsules were further loaded with chlorhexidine digluconate 2% (w/v). In vitro drug release properties were evaluated in PBS at pH 7.4 (normal tooth environment) and at pH 5.5 (infected tooth environment). The UV-VIS results showed that chlorhexidine digluconate has higher release rate at pH 5.5 than at pH 7.4, suggesting that the microcapsule is a good candidate for the delivery of chlorhexidine digluconate to the infected root canal tooth environment. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Alginate

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The effect of lard concentration and ozonation on changes in polarization angle of olive oil

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Journal of Physics: Conference Series 2021年第1期1943卷

作者： F A Saputra M Azam F Arianto K F Sofjan H Sugito I Alkian Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia 50275 Study Program of Automation Engineering Technology Vocational School Diponegoro University

This research aims to analyze the effect of ozone exposure time and lard mixture on the polarization angle of transmission of olive oil. The study uses a transmission polarization method with a laser (λ = 532 nm) as a light source. The research sample in the form of olive oil mixed with lard at a concentration of 10, 20, 40, and 80%, with an ozone exposure time of 0-30 minutes. The sample is subjected to external electric fields with variations from 0-4.5 x 102 kV/m to increase the change's polarization angle. The results showed that the change in polarization angle would change linearly with the increase in lard concentration with olive oil. Olive oil with a low concentration of lard (10%) experienced an increase in the change in polarization angle with a value of 0.31 ° due to the effect of 90 minutes of ozone exposure. In general, the results of the study showed that increased concentrations of lard, ozone exposure time, electric field strengths caused an increase in changes in the polarization angle in a mixture of olive oil and lard.

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Economic Feasibility of a Small-Scale Wind Turbine in Coastal Area of South Sulawesi

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IOP Conference Series: Earth and Environmental science 2021年第1期921卷

作者： F Mahmuddin N Puspitasari M U Pawara Marine Engineering Department Engineering Faculty Hasanuddin University Indonesia Naval Architecture Program Department of Science Food Technology and Maritime Kalimantan Institute of Technology Balikpapan Indonesia

To evaluate the exploitation potential of wind energy in the coastal area of South Sulawesi, Indonesia, an investigation on the economic feasibility of this project was performed. A 300-watt horizontal wind turbine was used as an example installed turbine. The wind speed range of 4-7 m/s which was the wind speed data in the coastal area of South Sulawesi was computed. The main economic analysis method employed was Capital Budgeting Analysis (CBA) method. In this method, 4 (four) indicators were used to evaluate the feasibility of the project which are payback period (PBP), net present value (NPV), internal rate of return (IRR), and benefit-cost ratio (BCR). A visual basic computer program based on the CBA method was also developed to make the computation more convenient. From the study, it was found that the wind speed range of 4-6 m/s resulted in a non-feasibility project while the highest wind speed (7 m/s) was found to be quite strong to make the project feasible.

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Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials

SSRN

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SSRN 2025年

作者： Saarimäki, Laura Aliisa Fratello, Michele del Giudice, Giusy Di Lieto, Emanuele Afantitis, Antreas Alenius, Harri Chiavazzo, Eliodoro Gulumian, Mary Karisola, Piia Lynch, Iseult Mancardi, Giulia Melagraki, Georgia Netti, Paolo A. Papadiamantis, Anastasios G. Peijnenburg, Willie Santos, Hélder A. Serchi, Tommaso Shahbazi, Mohammad-Ali Stoeger, Tobias Valsami-Jones, Eugenia Vivo, Paola Vrček, Ivana Vinković Vogel, Ulla Wick, Peter Winkler, David A. Serra, Angela Greco, Dario Faculty of Medicine and Health Technology Tampere University Tampere33520 Finland Division of Pharmaceutical Biosciences Faculty of Pharmacy University of Helsinki Helsinki00790 Finland NovaMechanics Ltd Nicosia Cyprus Institute of Environmental Medicine Karolinska Institutet Stockholm171 77 Sweden Research Program Medical Faculty University of Helsinki Helsinki00290 Finland Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy National Institute for Occupational Health National Health Laboratory Services Johannesburg South Africa School of Geography Earth and Environmental Sciences University of Birmingham Birmingham United Kingdom Division of Physical Sciences and Applications Hellenic Military Academy Vari Greece Interdisciplinary Research Centre on Biomaterials-CRIB University of Napoli Federico II P.le Tecchio 80 Napoli80125 Italy Institute of Environmental Sciences Leiden University Leiden Netherlands National Institute of Public Health and the Environment Center for Safety of Products and Substances Bilthoven Netherlands University of Groningen Groningen Netherlands Drug Research Program Division of Pharmaceutical Chemistry and Technology Faculty of Pharmacy University of Helsinki Helsinki Finland Luxembourg Institute of Science and Technology 5 Avenue des Hauts Fourneaux Eschsur-Alzette4362 Luxembourg Munich Germany Solar Cells Faculty of Engineering and Natural Sciences Tampere University P.O. Box 541 TampereFI-33014 Finland Institute for Medical Research and Occupational Health Zagreb Croatia National Research Centre for the Working Environment Copenhagen ODK-2100 Denmark Lerchenfeldstrasse 5 St. Gallen9014 Switzerland La Trobe Institute of Molecular Science La Trobe University Bundoora3086 Australia Monash Institute of Pharmaceutical Sciences Monash University Parkville3052 Australia School of Pharmacy University of Nottingham NottinghamNG7 2QL United Kingdom Tampere Institute for Advanced Study

The development of new approach methodologies (NAMs) to replace current in vivo testing for the safety assessment of engineered nanomaterials (ENMs) is hindered by the scarcity of validated experimental data for a broad range of ENMs. We introduce a framework to address this challenge by harnessing the collective expertise of professionals from multiple complementary and related fields (‘wisdom of crowds’ or WoC). By integrating expert insights, we aim to fill data gaps and generate consensus concern scores for diverse ENMs, thereby enhancing the predictive power of nanosafety computational models. Our investigation reveals an alignment between expert opinion and experimental data, providing robust estimations of concern levels. Building upon these findings, we employ predictive machine learning models trained on the newly defined concern scores, ENM descriptors, and gene expression profiles, to quantify potential harm across various toxicity endpoints. These models further revealed key genes potentially involved in underlying toxicity mechanisms. Notably, genes associated with metal ion homeostasis, inflammation, and oxidative stress emerge as predictors of ENM toxicity across diverse endpoints. This study showcases the value of integrating expert knowledge and computational modeling to address the complexity of nanomaterial safety. Our work suggests that this interdisciplinary approach enhances the accuracy and efficiency of safety assessment in the rapidly evolving landscape of nanotechnology. © 2025, The Authors. All rights reserved.

关键词： Nanoclay

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