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Application of factor analysis method to support the users acceptance model of ERP systems implementation

Journal of Physics: Conference Series 2021年第1期1836卷

作者： W Sardjono J Sudirwan W Priatna G R Putra Information Systems Management Department BINUS Graduate Program -Master of Information Systems Management Bina Nusantara University Jakarta Indonesia – 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage.

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The development of virtual laboratory on fluid materials

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Journal of Physics: Conference Series 2019年第5期1280卷

作者： E D Jannati A Setiawan P Siahaan C Rochman D Susanti Y Samantha Mechanical Engineering Study Program Majalengka University Majalengka Indonesia Department of Mechanical Engineering Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Physics Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Physics Education UIN Sunan Gunung Djati Bandung Indonesia Department of Informatics Engineering Majalengka University Majalengka Indonesia

This study aims to study the development of laboratory learning media on the concept of fluids. The method used in this study is the research and development (R & D) method of implementation up to step 7, namely: (1) literature study, (2) needs analysis, (3) design of virtual lab learning media, (4) development of lab learning media virtual, (5) validation, (6) product testing, (7) product revision. Virtual laboratory learning media, have gone through a phase validation test by two material experts and one media expert who showed that laboratory learning media on fluid materials are feasible to be applied in learning. the results of sponsored pretest and posttest for students showed a significant increase. Recommended to be applied in a virtual learning laboratory is suitable to be applied in the Faculty of engineering, Majalengka University.

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Graph Artificial Intelligence in Medicine

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Biomedical Data Science 1000年第1期7卷 345-368页

作者： Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 1Department of Biomedical Informatics Harvard Medical School Boston Massachusetts USA email: marinka@hms.harvard.edu 2Berkowitz Family Living Laboratory Harvard Medical School Boston Massachusetts USA 3Bioinformatics and Integrative Genomics Program Harvard Medical School Boston Massachusetts USA 4Department of Computer Science Harvard John A. Paulson School of Engineering and Applied Sciences Allston Massachusetts USA 5Broad Institute of MIT and Harvard Cambridge Massachusetts USA 7Kempner Institute for the Study of Natural and Artificial Intelligence Harvard University Allston Massachusetts USA 6Harvard Data Science Initiative Cambridge Massachusetts USA

In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and structures within clinical datasets. With diverse data—from patient records to imaging—graph AI models process data holistically by viewing modalities and entities within them as nodes interconnected by their relationships. Graph AI facilitates model transfer across clinical tasks, enabling models to generalize across patient populations without additional parameters and with minimal to no retraining. However, the importance of human-centered design and model interpretability in clinical decision-making cannot be overstated. Since graph AI models capture information through localized neural transformations defined on relational datasets, they offer both an opportunity and a challenge in elucidating model rationale. Knowledge graphs can enhance interpretability by aligning model-driven insights with medical knowledge. Emerging graph AI models integrate diverse data modalities through pretraining, facilitate interactive feedback loops, and foster human–AI collaboration, paving the way toward clinically meaningful predictions.

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Real time control 'es-dawet' mixer using dasboard based on PLC and WSN

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IOP Conference Series: Materials Science and engineering 2017年第1期237卷

作者： Pandapotan Siagian Sindak Hutauruk Kisno Institut Teknologi Del Faculty of Informatics and Electrical Engineering Computer Network Management Study Program Jl. Sisingamangaraja Sitoluama Toba Samosir Sumatera Utara 22381 Indonesia Universitas HKBP Nommensen Electrical Engineering Department Jl. Sutomo No.1 Medan North Sumatera 22381 Indonesia

The aim of this study is to monitor and acquire the remote parameters like Speed control a DC Motor, IR Sensor, Temperature of pasteurize mix of ice cream, and send these real values over wireless network. A proposed system is dashboard monitoring system for PLC based system wirelessly using ZigBee protocol. To implement this a ZigBee model is connected to a programmed digital signal controller which would transmit the data to Zigbee coordinator which is connected to a PC through RS232 serial communication. Person can need only to send the reply about the process that is to be carried out and PLC will check the status of the web base sent by person and take the action according to it where wired communication is either more expensive or impossible due to physical conditions. A low cost system for measured the parameters of motor such as IR Sensor, Speed control a DC Motor by PWM and temperature with Zigbee protocol connectivity. A database is built to execute monitoring and to save the motor parameters received by radio frequency (RF) data acquisition system. Experimental results show that the proposed system is less costly, provides higher accuracy as well as safe and gives visual environment.

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Casting and Welding of Aluminium Matrix Composite Materials Reinforced by SiC Particles

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IOP Conference Series: Materials Science and engineering 2018年第1期434卷

作者： P H Tjahjanti F Hermansyah L H Prasetya M P T Sulistyanto Department of Mechanical Engineering Universitas Muhammadiyah Sidoarjo Kampus 2 Jalan Raya Gelam nomer 250 Candi Sidoarjo Jawa Timur Indonesia Informatics Study Program Universitas Kanjuruan Malang Jalan S. Supriadi no.48 Malang Jawa Timur Indonesia

Aluminium casting is often done, but for the casting of composite materials base on aluminium is very rare. The purpose of this research is make composite material based on aluminium reinforced by SiC particles by casting. This research method use three different casting molds that are permanent cast, ceramic (chamotte sand / Al2O3-SiO2) molds and sand molds. The best casting product that has a small porosity is the AlMg10Si make of permanent molding. The small porosity effect causes the AlMg10Si material to become harder. The oxy-acetylene welding results show that the AlMg10Si + composite material reinforced by 15% SiC particles, has a fine discontinuity when the liquid penetrant test, which means that very small cracks occur, and potholes result from casting. This composite material has enormous energy to break is 0.94 Joule at impact test.

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Web Application to Monitor Logistics Distribution of Disaster Relief Using the CodeIgniter Framework

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IOP Conference Series: Materials Science and engineering 2018年第1期325卷

作者： Mohamad Jamil Mohamad Ridwan Lessy Departement Informatics Engineering Faculty of Engineering Universitas Khairun .Jl. Pertamina Kampus II Unkhair Gambesi Kota Ternate Maluku Utara Indonesia 97719 Departement Marine Science Study Program Faculty of Fisheries Universitas Khairun Jl. Pertamina Kampus II Unkhair Gambesi Kota Ternate Maluku Utara Indonesia 97719

Disaster management is the responsibility of the central government and local governments. The principles of disaster management, among others, are quick and precise, priorities, coordination and cohesion, efficient and effective manner. Help that is needed by most societies are logistical assistance, such as the assistance covers people's everyday needs, such as food, instant noodles, fast food, blankets, mattresses etc. Logistical assistance is needed for disaster management, especially in times of disasters. The support of logistical assistance must be timely, to the right location, target, quality, quantity, and needs. The purpose of this study is to make a web application to monitorlogistics distribution of disaster relefusing CodeIgniter framework. Through this application, the mechanisms of aid delivery will be easily controlled from and heading to the disaster site.

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Review of smart grids advancements of energy mix sources

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AIP Conference Proceedings 2023年第1期2746卷

作者： A. N. Woro W. M. W. Muda A. Z. Annuar B. Syaiful Electrical Engineering Study Program Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 2103 Kuala Nerus Terengganu Malaysia Electrical Engineering Department Faculty of Engineering Pamulang University Pamulang Tangerang Selatan Banten Indonesia. Centre for Nuclear Reactor Technology and Safety National Nuclear Energy Agency of Indonesia Tangerang Selatan Banten Indonesia

The successful implementation of smart grids depends on energy efficiency, mostly relying on the operation of electricity source infrastructure. The combination of energy sources undoubtedly provides complexity in real applications. Some of the challenges for a smart grids comes from the intermittent renewable energy characteristics such as bioenergy, geothermal, hydropower, solar, ocean power, and wind energy to the base load energy such as natural gas, coal, and nuclear. This paper aims to review the implementation of current advances of smart grids from combined energy mix sources. The review includes major components of smart grids, i.e. power plants, monitoring systems, substations, power transmission and distribution, controllers and smart meters. The review also investigates the state of the art contribution of power electronics, artificial intelligence and Internet of Things to more significant optimization, safety and efficiency in these areas. The results are expected to provide a further gap analysis of applicable technologies and best practices in mixed electricity generation sources. The final result will also consider its application in an archipelago country such as Indonesia.

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Monitoring electrical energy in electronic energy audits through internet of things technology

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Journal of Physics: Conference Series 2019年第7期1402卷

作者： M P T Sulistyanto K B Pranata A N Afandi S Sendari I Sulistiyowati Informatics Study Program Faculty of Science and Technology Universitas Kanjuruhan Malang Jl. S. Supriadi No. 48 Malang Jawa Timur Indonesia Physics Education Study Program Faculty of Science and Technology Universitas Kanjuruhan Malang Jl. S. Supriadi No. 48 Malang Jawa Timur Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Negeri Malang Teknik Elektro Universitas Muhammadiyah Sidoarjo Jl. Raya Gelam 250 Candi Sidoarjo Jawa Timur Indonesia

Energy conservation, especially electricity, can be done by conducting an energy audit. Energy audit activities can analyse and find energy-saving opportunities from energy use. This study developed a prototype of a wireless electrical energy monitoring system on a laboratory scale to monitor the use of electrical energy from both electrical equipment using a microcontroller as a sensor node. These nodes have installed several sensors, namely the current sensor, humidity sensor, temperature sensor and light sensor. The protocol used in communication between nodes and servers is the HTTP protocol in the Internet of Things design that can communicate using internet network intermediaries. Data on the server can be monitored in real time using the application on the client side.

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Computer Modelling of the Information Properties of Hyper Chaotic Lorenz System and Its Application in Secure Communication System

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Journal of Physics: Conference Series 2021年第1期1764卷

作者： Volodymyr Rusyn Mujiarto Mustafa Mamat Firmansyah Azharul W. S. Mada Sanjaya Aceng Sambas Estiyan Dwipriyoko Akhmad Sutoni Yuriy Fedkovych Chernivtsi National University Kotsybynsky str. 2 Chernivtsi 58012 Ukraine. Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Indonesia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Kuala Terengganu Malaysia Department of Mechanical Engineering Sekolah Tinggi Teknologi Cileungsi Indonesia Department of Physics Universitas Islam Negeri Sunan Gunung Djati Bandung Indonesia Informatics Study Program Universitas Langlangbuana Bandung Indonesia Department of Industrial Engineering Universitas Suryakancana Cianjur Indonesia

This paper presents computer modeling, analysis and research of the hyper-chaotic Lorenz system based on programming interface that has been developed in LabView software environment. This study allows for generating and research of the main information properties of hyper-chaotic Lorenz system, focusing on time distribution of the four chaotic coordinates, phase portraits and Lyapunov exponents. The programming interface demonstrates the algorithm of masking and decrypt of the information carrier.

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Web of Things to control planting seeds and watering plants for indoor smart farm

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IOP Conference Series: Materials Science and engineering 2021年第5期1098卷

作者： M P T Sulistyanto E Febriawan I Sulistiyowati Informatics Study Program Faculty of Science and Technology Universitas Kanjuruhan Malang Jl. S. Supriadi No. 48 Malang Jawa-Timur Indonesia Electrical Engineering Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo Jl. Raya Gelam 250 Candi Sidoarjo Jawa Timur Indonesia

With the emergence of the Web of Things (WoT) as Internet of Things (IoT) enhancement in web application, the Industrial Revolution 4.0 has developed very rapidly. Its technology has been commonly used in various fields of life, especially in agriculture. One of the crop plants is often achieved by vegetable farming, as vegetables are the staples of daily life. Aim this study is for plating mustard green seeds and watering plant using WoT. This method begins by doing literature review, requirement analysis, design and implementation. The result shows the developing of prototype to planting mustard seeds and watering plant is successful that it can be remotely operated through WoT. The planting and watering process uses Gcode command to carry out seed picks, planting seeds, and water plants.

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