scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN JURUSAN SISWA DENGAN MENGGUNAKAN LOGIKA FUZZY

2021 ◽  
Vol 2 (2) ◽  
pp. 242-261
Author(s):  
Irwansyah Saputra ◽  
Fachri Amsury
Keyword(s):  
Real Time ◽  
Process Model ◽  
Process Management ◽  
Functional System ◽  
Integrated System ◽  
Data Handling ◽  
Computer Technique ◽  
Network Computer ◽  
Crystal Report ◽  
Student Program

Penentuan jurusan siswa adalah masalah yang selalu dihadapi pada saat tahun ajaran baru di sekolah menengah kejuruan. Hal ini mendorong pihak sekolah untuk bekerja lebih cepat dan akurat ketika menentukan jurusan siswa yang terbagi kedalam tiga jurusan, yaitu rekayasa perangkat lunak, multimedia dan teknik komputer jaringan.  Akan tetapi, ketiadaan sebuah sistem dalam menyelesaikan masalah tersebut menyebabkan pengolahan nilai tes dan minat siswa menjadi tidak maksimal karena keterbatasan sumber daya manusia yang mengolahnya, sehingga penentuan keputusan jurusan siswa seringkali tidak sesuai dengan rule yang telah ditetapkan pihak sekolah bahkan bersifat subjektif. Sistem Pendukung Keputusan Penentuan Jurusan Siswa (SPK-PJS) merupakan sistem terintegrasi yang dapat membantu penanganan data siswa, data nilai tes dan minat siswa dalam penentuan jurusan secara cepat dan tepat berdasarkan rule yang telah ditetapkan pihak sekolah.  Pengolahan data dalam menentukan jurusan siswa akan semakin mudah, cepat dan tepat dengan adanya sistem yang dikembangkan ini. Sistem ini juga mampu melakukan manajemen data, manajemen proses, manajemen laporan yang bersifat real time dan update juga memiliki manajemen sistem keamanan yang dapat mengatur hak akses setiap pengguna yang berinteraksi dengan sistem. Pembangunan SPK-PJS diawali dengan pendefinisian sistem, analisis sistem dengan model proses Waterfall, kemudian dalam hal perangkat pemodelan digunakan diagram alir data, rancangan basis data menggunakan MySQL, rancangan antar muka sistem, implementasi dan pengujian sistem menggunakan Microsoft Visual Basic.Net 2005 dan Crystal Report 9.0.Berdasarkan pengujian yang sudah dilakukan pada SPK-PJS, secara fungsional sistem ini sudah memenuhi persyaratan prosedur sistem yang ada dan juga dapat menghasilkan keluaran yang diharapkan, sehingga sistem ini siap untuk diimplementasikan pada kenyataan sesungguhnya. Determination of student program is a case always faced in the new year of school at vocational high school. It interests the school to work quickly and accurately while determining student program which is divided into 3 programs, they are software engineering, multimedia and network computer technique. But, no existence of a system in finishing the case causes scoring input and student’s interest become not maximal due to limitation of human resource who handle it, so decision making of student program sometimes is not based on rule which is the school management even subjectively. Decision support system of student’s program determination is integrated system which can help student data handling, scoring data, interest, to determine student program quickly and accurately based on the rule which has been determined by school policy. By the existence of this system, data handling in program determination will be every easy, rapidly and accurately, so it enable to do data management, process management, a real time report management update and security system management. The development of SPK-PJS is started by defined system, analyzed system, with waterfall process model, then in modeling device is used the flowchart, basic data program using by MySQL, system interface program, implementation system examination using Microsoft Visual Basic 2005 Crystal Report 9.0. Based on the examination executed on SPK-PJS by this functional system has fulfilled system procedure requirement that provided and also can produce the expected output, so this system is ready to implement on the real fact.

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

Human versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

2021 ◽  
pp. 1-38
Author(s):  
Joshua Gyory ◽  
Nicolas F Soria Zurita ◽  
Jay Martin ◽  
Corey Balon ◽  
Christopher McComb ◽  
...  
Keyword(s):  
Real Time ◽  
Design Process ◽  
Process Management ◽  
Superior Performance ◽  
Team Members ◽  
Engineering Teams ◽  
Complex Design ◽  
Data Driven Approach ◽  
Complex Engineering ◽  
Process Managers

Abstract Managing the design process of teams has been shown to considerably improve problem-solving behaviors and resulting final outcomes. Automating this activity presents significant opportunities in delivering interventions that dynamically adapt to the state of a team in order to reap the most impact. In this work, an Artificial Intelligent (AI) agent is created to manage the design process of engineering teams in real time, tracking features of teams' actions and communications during a complex design and path-planning task with multidisciplinary team members. Teams are also placed under the guidance of human process managers for comparison. Regarding outcomes, teams perform equally as well under both types of management, with trends towards even superior performance from the AI-managed teams. The managers' intervention strategies and team perceptions of those strategies are also explored, illuminating some intriguing similarities. Both the AI and human process managers focus largely on communication-based interventions, though differences start to emerge in the distribution of interventions across team roles. Furthermore, team members perceive the interventions from the both the AI and human manager as equally relevant and helpful, and believe the AI agent to be just as sensitive to the needs of the team. Thus, the overall results show that the AI manager agent introduced in this work is able to match the capabilities of humans, showing potential in automating the management of a complex design process.

scholarly journals A Real-Time Weed Mapping and Precision Herbicide Spraying System for Row Crops

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4245 ◽  
Author(s):  
Yanlei Xu ◽  
Zongmei Gao ◽  
Lav Khot ◽  
Xiaotian Meng ◽  
Qin Zhang
Keyword(s):  
Real Time ◽  
Field Experiments ◽  
Particle Swarm ◽  
Error Rates ◽  
Integrated System ◽  
Central Processor ◽  
Time Data ◽  
Weed Detection ◽  
Row Crops ◽  
Weed Mapping

This study developed and field tested an automated weed mapping and variable-rate herbicide spraying (VRHS) system for row crops. Weed detection was performed through a machine vision sub-system that used a custom threshold segmentation method, an improved particle swarm optimum (IPSO) algorithm, capable of segmenting the field images. The VRHS system also used a lateral histogram-based algorithm for fast extraction of weed maps. This was the basis for determining real-time herbicide application rates. The central processor of the VRHS system had high logic operation capacity, compared to the conventional controller-based systems. Custom developed monitoring system allowed real-time visualization of the spraying system functionalities. Integrated system performance was then evaluated through field experiments. The IPSO successfully segmented weeds within corn crop at seedling growth stage and reduced segmentation error rates to 0.1% from 7.1% of traditional particle swarm optimization algorithm. IPSO processing speed was 0.026 s/frame. The weed detection to chemical actuation response time of integrated system was 1.562 s. Overall, VRHS system met the real-time data processing and actuation requirements for its use in practical weed management applications.

scholarly journals Assembly of Conducting Polymer and Biohydrogel for the Release and Real-Time Monitoring of Vitamin K3

Gels ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 86 ◽  
Author(s):  
Brenda Molina ◽  
Eva Domínguez ◽  
Elaine Armelin ◽  
Carlos Alemán
Keyword(s):  
Real Time ◽  
Differential Pulse ◽  
Integrated System ◽  
Dual Function ◽  
Therapeutic Approaches ◽  
Vitamin K3 ◽  
Flexible Electrode ◽  
Anodic Synthesis

In this work, we report the design and fabrication of a dual-function integrated system to monitor, in real time, the release of previously loaded 2-methyl-1,4-naphthoquinone (MeNQ), also named vitamin K3. The newly developed system consists of poly(3,4-ethylenedioxythiophene) (PEDOT) nanoparticles, which were embedded into a poly-γ-glutamic acid (γ-PGA) biohydrogel during the gelling reaction between the biopolymer chains and the cross-linker, cystamine. After this, agglomerates of PEDOT nanoparticles homogeneously dispersed inside the biohydrogel were used as polymerization nuclei for the in situ anodic synthesis of poly(hydroxymethyl-3,4-ethylenedioxythiophene) in aqueous solution. After characterization of the resulting flexible electrode composites, their ability to load and release MeNQ was proven and monitored. Specifically, loaded MeNQ molecules, which organized in shells around PEDOT nanoparticles agglomerates when the drug was simply added to the initial gelling solution, were progressively released to a physiological medium. The latter process was successfully monitored using an electrode composite through differential pulse voltammetry. The fabrication of electroactive flexible biohydrogels for real-time release monitoring opens new opportunities for theranostic therapeutic approaches.

scholarly journals Innovative integrated system for real-time measurement of hybridization and melting on standard format microarrays

BioTechniques ◽  
2008 ◽  
Vol 44 (7) ◽  
pp. 913-920 ◽  
Author(s):  
Yann Marcy ◽  
Pierre-Yves Cousin ◽  
Maxime Rattier ◽  
Gordana Cerovic ◽  
Guilhem Escalier ◽  
...  
Keyword(s):  
Real Time ◽  
Time Measurement ◽  
Integrated System ◽  
Standard Format ◽  
Real Time Measurement

scholarly journals Expert system of food sensory evaluation for mobile and tablet

2019 ◽  
pp. 332-339
Author(s):  
M A Nikitina ◽  
Y A Ivashkin
Keyword(s):  
Real Time ◽  
Sensory Evaluation ◽  
Analysis Of Variance ◽  
Network Architecture ◽  
Human Factor ◽  
Rank Correlation ◽  
Statistical Processing ◽  
Measurement Instruments ◽  
Multifactorial Analysis ◽  
Network Computer

One of the main directions of statistics in sensory evaluation is an assessment of the dependence between experimental variables and measured characteristics. Statistical criteria are used to assess a degree of interaction between variables, a level of experimental effects, and allow accepting or rejecting hypothesis proposed. In sensory evaluation, people act as measurement instruments, and a variation associated with the human factor arises. This proves that the use of statistical methods is necessary. This article represents a network computer system for collection and evaluation of food sensory indicators based on the methods of rank correlation and multifactorial analysis of variance in real time. The article describes information technology of expert sensory evaluation of food quality by individual panelists and sensory panels regarding the indicators that are not measured by technical means of control, based on client-server network architecture. The software implementation of system for collecting and statistical processing of sensory data based on the principles of multifactorial analysis of variance in real-time mode makes it possible to evaluate the influence of the human factor on objectiveness and reliability of sensory evaluation results, as well as to visualize the data of expert scores by various expert panels.

scholarly journals IoTSAS: An Integrated System for Real-Time Semantic Annotation and Interpretation of IoT Sensor Stream Data

Computers ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 127
Author(s):  
Besmir Sejdiu ◽  
Florije Ismaili ◽  
Lule Ahmedi
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Contextual Information ◽  
Semantic Annotation ◽  
Weather Conditions ◽  
Water Quality Monitoring ◽  
Integrated System ◽  
Quality Monitoring ◽  
Stream Data ◽  
Semantic Annotations

Sensors and other Internet of Things (IoT) technologies are increasingly finding application in various fields, such as air quality monitoring, weather alerts monitoring, water quality monitoring, healthcare monitoring, etc. IoT sensors continuously generate large volumes of observed stream data; therefore, processing requires a special approach. Extracting the contextual information essential for situational knowledge from sensor stream data is very difficult, especially when processing and interpretation of these data are required in real time. This paper focuses on processing and interpreting sensor stream data in real time by integrating different semantic annotations. In this context, a system named IoT Semantic Annotations System (IoTSAS) is developed. Furthermore, the performance of the IoTSAS System is presented by testing air quality and weather alerts monitoring IoT domains by extending the Open Geospatial Consortium (OGC) standards and the Sensor Observations Service (SOS) standards, respectively. The developed system provides information in real time to citizens about the health implications from air pollution and weather conditions, e.g., blizzard, flurry, etc.

scholarly journals El impacto de la automatización en el mejoramiento de procesos

SATHIRI ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 249
Author(s):  
Alex Bolívar Cazañas Gordón ◽  
Esther María Parra Mora
Keyword(s):  
Business Process ◽  
Management System ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Business Process Model

Esta investigación tiene la intención de evaluar el efecto de la automatización en el desempeño de los procesos de una empresa de servicios. Para tal efecto, se analiza los resultados de la automatización de un proceso clave de negocio en un proveedor de servicios de telecomunicaciones. La automatización implementada toma como referencia el ciclo de vida descrito por la metodología BPM (Business Process Management), el cual se compone de cuatro fases: Modelamiento, implementación, ejecución, y análisis. Para la modelación del proceso se utilizó la notación definida en el estándar Business Process Model and Notation (BPMN). La automatización se implementó usando un paquete de herramientas informáticas comercial del tipo BPMS (Business Process Management System).

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