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Designing knowledge sharing systems to support integrated eco-city planning and management

IOP Conference Series: Earth and Environmental Science 2021年第1期737卷

作者： C E Supriana Informatics Engineering Study Program Faculty of Engineering Pasundan University Bandung Indonesia

The local government of a city as an organization depends on decision makers in government management to support the vision and mission of the city to achieve eco-city goals based on data and information from several knowledge domains. Knowledge management is seen as an increasingly important scientific discipline that encourages the creation, sharing and utilization of knowledge in an organization. Knowledge management is also related to the concept of intellectual capital, the most valuable organizational resource. Knowledge sharing systems are designed to help decision makers and stakeholders share their knowledge. Most knowledge management systems in organizations are designed to share the explicit knowledge of individuals, organizations and finally distributed to the community. This research is the approach in the development model that can be used in the governance to achieve eco-city goals. Complex knowledge about eco-cities requires policies that are based on current knowledge and can be implemented immediately with a thorough understanding of all aspects. The results of this study are understanding the problem of knowledge sharing as a valuable organizational asset, designing a knowledge sharing systems model, and improving systems to improve the quality of knowledge.

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Scientometric Analysis of Artificial Intelligence Research in Agriculture

Scientometric Analysis of Artificial Intelligence Research i...

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International Conference on informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Fairuz Iqbal Maulana Andi Pramono Miftahul Hamim Sukeipah Yuli Prihatin Rahman Arifuddin Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Entrepreneurship Business Creation BINUS Business School Bina Nusantara University Jakarta Indonesia Informatics Study Program Politeknik Kota Malang Malang Indonesia Department of Electrical Engineering University of Merdeka Malang Malang Indonesia

ISBN: (纸本)9781665473286

Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 1064 academic documents on Trends of Artificial Intelligence Research in Agriculture that we found from 2012 to 2021 were obtained by searching the Scopus database. This study uses bibliometric analysis methods to map scientific publications worldwide. We use an article selection process, the year limitation, then the database is exported to RIS and CSV format files. Researchers in the United States had the most published articles and were indexed by Scopus among the most prolific authors ( $\mathrm{N}=287$ ), followed by the United Kingdom at second ( $\mathrm{N}=139$ ) and Italy with 66 academic publications. Data analysis reveals an increasing trend in the number of Trends of Artificial Intelligence Research in Agriculture publications worldwide, as measured by the Scopus index.

关键词： Data analysis Databases Multimedia systems Bibliometrics Market research Agriculture Indexes

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Ann : Predicting of State Retail Sukuk Based on Region in Indonesia

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Journal of Physics: Conference Series 2021年第1期1830卷

作者： Solikhun Lise Pujiastuti Mochamad Wahyudi AMIK Tunas Bangsa Pematangsiantar Informatics Management Study Program North Sumatra Indonesia STMIK Antar Bangsa Information System Study Program Banten Indonesia Universitas Bina Sarana Informatika Faculty of Technical and Informatics Information Technology Study Program DKI Jakarta Indonesia

Retail Sukuk is a product of State Sharia Securities (Sukuk) issued by the Government of the Republic of Indonesia in this case the Ministry of Finance and sold to individuals or individuals of Indonesian Citizens through Selling Agents in the domestic Primary Market. This research contributes to the government and the Bank to be able to do the maximum promotion for the next sukuk issuance. The data used is data from the Ministry of Finance. These data are sukuk sales data with series 002-010 based on regional groups. The algorithm used in this study is Artificial Neural Network with Backpropogation method. Variabel masukan yang digunakan adalah kelompok wilayah bagian barat selain Jakarta (X1), kelompok Jakarta (X2), kelompok Indonesia Bagian Tengah(X3), dan kelompok Indonesia Bagian Timur (X4) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 4-2-1, 4-3-1, 4-2-3-1 dan 4-3-2-1. The best architectural model is 4-3-1 with epoch 266, MSE 0.009918 and 100% accuracy rate. From this model, predictions of retail country sukuk will be made by region.

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The design of micro-perforated panel (MPP) on noise case of APU GTCP 331-350 airbus A330 aircraft

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AIP Conference Proceedings 2023年第1期2601卷

作者： Lazuardy Rahendra Pinandhita Thomas Ken Darmastono Study Program of Aerospace Engineering Faculty of Aerospace Technology Adisutjipto Institute of Aerospace Technology Jalan Majapahit Blok-R Lanud Adisutjipto Bantul D.I. Yogyakarta 55198 Indonesia Study Program of Informatics Faculty of Industrial Technology Adisutjipto Institute of Aerospace Technology Jalan Majapahit Blok-R Lanud Adisutjipto Bantul D.I. Yogyakarta 55198 Indonesia

In general, noise is a problem and it can be found everywhere, including at the aero activity such as aircraft maintenance vicinity. The object of the noise case selected in this study is the Auxiliary Power Unit (APU) which is the part of Airbus A330 aircraft with the APU type GTCP 331-350. The noise of APU while operate during maintenance can affect the occupational health and safety conditions of the worker. In this study, a micro-perforated panel (MPP) is used to absorb or reduce the sound intensity. MPP is made of a thin flat material where in this research using acrylic and placing small holes on its surface. Both experimental and numerical method are used in this research. The first step in performing the MPP design is numerically to obtain the geometry according to the absorption coefficient target at the specified noise frequency. For the experimental or testing phase of finished MPP design, a tool called an impedance tube is used. The test procedure refers to the ISO 10534-2 or ASTM E 1050-90 document. There are two types of impedance tube, first in diameter of 10 mm and the second one in 3 cm. The 10 mm impedance tube has the frequency range from low to medium frequency while the 3 mm for the high frequency testing. The absorption coefficient prediction value from numerically MPP design for the targeted frequency of 695 Hz gets 0.8819 versus the actual value after test in impedance tube is 0.8875. Furthermore, the highest absorption coefficient value for design or prediction and actual testing lies at the exact frequency of 750 Hz where for predictions has 0.95 and 1 for actual testing. Based on these results it can be concluded that MPP has the potency to reduce the APU noise. Henceforth it will be interesting to apply the MPP technology directly to the APU compartment on aircraft.

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Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah

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Journal of Physics: Conference Series 2021年第1期1737卷

作者： L D Supraba H Jati Electrical and Informatics Engineering Education Study Program Faculty of Engineering Yogyakarta State University

The number of Islamic boarding school teaching both Information Technology (IT) Education and Religious Education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic.

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Double exponential smoothing brown method towards sales forecasting system with a linear and non-stationary data trend

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Journal of Physics: Conference Series 2021年第1期1810卷

作者： P A S Dharmawan I G A A D Indradewi Study Program of Informatics Engineering STMIK STIKOM Indonesia Denpasar-Bali 80225 Indonesia

UD Parama Store is a trading company engaged in selling retail goods that sell various types of daily necessities retail. The major problems occurred are the difficulty in predicting the sales due to the maturity level of experience, customer demand changes, and the owner's limited memory. Therefore, there should be an increase of merchandise stock to prevent any sudden decrease in sales and overcome the stock shortage when there is an increase in sales. In this current research, a sales forecasting web-based system was designed and built to assist the owner in predicting the number of sales in the next period. As a result, decisions can be made in determining the number of goods to be provided. The forecasting method used was double exponential smoothing brown by improving forecasting, averaging (smoothing) the past value of a time coherent data, and decreasing (exponential), which requires one parameter only. It was used to increase and decrease the linear and non-stationary data. The calculation of forecasting accuracy using the MAPE (Mean Absolute Percentage Error) method in forecasting sales of merchandise produces the smallest error rate ranging from 7.99% to 32.42% for 10 different items.

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Android Based Heart-rate Monitoring System using ECG Sensor

Android Based Heart-rate Monitoring System using ECG Sensor

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International Conference on Sustainable Engineering and Creative Computing (ICSECC)

作者： Rosalina Grace Selina Rila Mandala Faculty of Computing Information Technology Study Program President University Bekasi Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9781728175898

This research aims to help the user monitor their heart’s condition and notify other people in case of an emergency due to an abnormal heartbeat (normal heartbeat around 60-100 beats per minute). From the heart rate graph, the user could do a consultation with an expert in the nearest hospital using a map feature that will show the nearest hospital with a 1 KM radius from the user’s current location. The heart is undeniably an essential part of the human body system. The heart's missions are to pump blood to the lungs to expel the waste carbon dioxide that resulted from the respiration and pump blood that will deliver oxygen throughout the human body's circulation system. While the blood that carries oxygen being pumped throughout the human body, the heart will provide the oxygen to all cells. Body cells need to use oxygen to get the energy from food through a process called cellular respiration. Monitoring our heartbeat and pulse rate can increase people’s awareness about their heart’s health, motivating, and encouraging people to maintain a healthy eating plan and exercise. This research will be implemented ECG Sensor. The sensor will then send the data to the android application via HC-06 Bluetooth module. Monitoring the heart rate and analyzing the user’s heartbeat will be done in the android with a microcontroller device's help.

关键词： Bluetooth Heart beat Hospitals Microcontrollers Lung Electrocardiography Biomedical monitoring

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Digital Forensics Investigation and Incident Response in Internet of Things (IoT-DFIR): Challenges and Models

Digital Forensics Investigation and Incident Response in Int...

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International Conference on Wireless and Telematics (ICWT)

作者： Syaiful Ahdan Eki Ahmad Zaki Hamidi Sampurna Dadi Riskiono Ridha Muldina Negara Ratna Mayasari Suci Ramadona Ade Nurhayati Adi Sucipto Jupriyadi Galih Nugraha Nurkahfi Dzata Farahiyah Muchammad Naseer Faculty of Engineering & Computer Science Universitas Teknokrat Indonesia Lampung Indonesia Electrical Engineering Department UIN Sunan Gunung Djati Bandung Bandung Indonesia School of Electrical Engineering Telkom University Bandung Indonesia Elearical Engineering Study Program Politeknik Caltex Riau Riau Indonesia Faculty of Engineering Institut Teknologi Telkom Jakarta Jakarta Indonesia National Research and Innovation Agency (BRIN) Bandung Indonesia Faculty of Industrial Technology Universitas Islam Indonesia Yogyakarta Yogyakarta Indonesia Informatics Department Sekolah Tinggi Teknologi Bandung Bandung Indonesia

Many different industries are currently making substantial use of the Internet of Things (IoT). IoT is the process through which electronic devices communicate with their surrounding virtual environment by continuously exchanging data via sensors. Due to increased IoT security concerns, digital forensic investigators now possess greater knowledge and abilities to investigate IoT devices. IoT-DigFor are required in terms of cybercrime due to the rapid growth in the number of electronic devices and the collection and consumption of enormous amounts of data. IoT systems with billions of devices have produced a significant amount of evidence, which presents a significant challenge to digital investigators and practitioners who must connect with IoT devices to conduct fast and thorough investigations into cybercrimes. This article presents detailed information about forensics in the IoT environment. The IoT forensic paradigm and the challenges that design-based security requirements and IoT system security offer for IoT-DigFor are covered in great detail at the beginning of the article.

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Modified genetic algorithm for employee work shifts scheduling optimization

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Journal of Physics: Conference Series 2021年第1期1810卷

作者： N W S Saraswati I D M D Artakusuma I G A A D Indradewi Study Program of Informatics Engineering STMIK STIKOM Indonesia Denpasar-Bali 80225 Indonesia

Arranging an employee shift work's schedule requires high accuracy. It is because we have to pay attention to several constraints simultaneously. The genetic algorithm presents as a method which can automatize the process of arranging the schedule as well as optimizing the result of the schedule. The Shala Bali is a hospitality business whose scheduling was complicated because of the number of the employes. This research aimed at producing a shift work schedule of the employees in a week and to know the optimum genetic algorithm parameter in this case. The constraints that were taken into account in the arrangement of the schedule included the schedule conflict of the employees in one shift, schedule conflict of employees in 1 day, the same composition of employees per shift, employees should not get morning shifts after being in night shift the night before, each shift has at least 1 employee in the front office, and each employee is required to get 1 day off within 1 schedule period. This study was able to produce an optimal work schedule of employees with crossover probability (Pc) of 0.6, and mutation probability (Pm) of 0.3. The modification algorithm in chromosome generation and chromosome structure in this study results that changes in gene length (additional number of employees) do not have to be followed by an increase in the number of chromosome populations to get optimum results.

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Identification of Maize Leaf Diseases Cause by Fungus with Digital Image Processing (Case study: Bismarak Village Kupang District - East Nusa Tenggara)

Identification of Maize Leaf Diseases Cause by Fungus with D...

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Conference on New Media Studies (CoNMedia)

作者： Marlinda Vasty Overbeek Yampi R. Kaesmetan Fenina Adline Twince Tobing Study Program Informatics Faculty of Techniques and Informatics Universitas Multimedia Nusantara Tangerang Banten Study Program Informatics Techniques STIKOM Uyelindo Kupang Kupang East Nusa Tenggara

ISBN: (纸本)9781728115740

Characteristics in common disease caused by a fungus often makes farmers wrong in giving treatment. Prevention is given too often wrong because it is by direct observation. Therefore in this study, we propose a system to detect disease in maize leaf caused by fungi with a view of segmentation or the shape of the maize leaf-based on digital image processing. The sobel operator we used as a shape features extraction. As for the detection technique, we used multiclass Support Vector Machine algorithm with Radial Basis Function kernel. The results of the identification accuracy of the system are 92 225%.

关键词： Diseases Image edge detection Feature extraction Kernel Support vector machines Fungi Shape

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