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Accelerating internet penetration to rural areas: A government-sponsored internet-kiosks deployment project in Garut Regency, West Java of Indonesia

Accelerating internet penetration to rural areas: A governme...

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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

作者： A. Kurniawan I. Zakia E. Wartika A.G. Austin School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Study Program of Film and Television Institut Seni Budaya Bandung Bandung Indonesia Faculty of Civil Engineering and Environment Institut Teknologi Bandung Bandung Indonesia

Internet penetration in developing countries depend on a variety of factors, including the Gross Domestic Product (GDP), the density of telephone connections, and the density of personal computer users. Internet kiosks have been deployed in 21 rural ditrict areas of Garut Regency to facilitate internet access for local/district government as well as for the community who have no access to internet Each district was equiped with 10 PCs, a printer, a scanner, and an internet connection either using DSL or cellular access technology. The program was government sponsored through the Ministry of Communications and Information of the Republic of Indonesia. This program was also designed to provide education and training for the district internet kiosks operator as well as for the staffs of information technology at Garut Regency, on understanding, efficient use, management, maintenance, as well as the ethical/professional use of information to upgrade their skills. This study was then conducted to evaluate factors affecting internet penetration in rural areas of Garut Regency, West Java of Indonesia.

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Coverage and capacity trade-off using admission and power controlled CDMA system for wireless internet services in rural environments

Coverage and capacity trade-off using admission and power co...

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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

In this paper the coverage and capacity of CDMA system is evaluated using admission and power control to serve for low to medium speed internet services, such as digital TV or film/video streaming in rural areas. One of the unique characteristics of CDMA system is that it is possible to trade off between capacity and its coverage, called the cell-breathing. Open loop and closed loop power control can be used to increase the capacity of CDMA system; while admission control can be applied to trade-off between its capacity and the coverage. Computer simulation was conducted to evaluate the power control performance in Rayleigh fading channel. Then semi-analytical evaluation was performed to obtain the coverage-capacity trade-off. The result shows that the capacity of CDMA systems increases when power control was employed. Numerical and semi analytical evaluation show that CDMA coverage and capacity can be traded-off to meet various demand of traffic capacity and cell coverage in rural environments.

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Digital Forensics Investigation and Incident Response in Internet of Things (IoT-DFIR): Challenges and Models 9

Digital Forensics Investigation and Incident Response in Int...

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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ahdan, Syaiful Zaki Hamidi, Eki Ahmad Riskiono, Sampurna Dadi Negara, Ridha Muldina Mayasari, Ratna Ramadona, Suci Nurhayati, Ade Sucipto, Adi Jupriyadi Nurkahfi, Galih Nugraha Farahiyah, Dzata Naseer, Muchammad Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science Lampung35132 Indonesia Uin Sunan Gunung Djati Bandung Electrical Engineering Department Bandung40614 Indonesia School of Electrical Engineering Telkom University Bandung40257 Indonesia Elearical Engineering Study Program Politeknik Caltex Riau Riau28265 Indonesia Institut Teknologi Telkom Jakarta Faculty of Engineering Jakarta11710 Indonesia Bandung40135 Indonesia Universitas Islam Indonesia Yogyakarta Faculty of Industrial Technology Yogyakarta55584 Indonesia Sekolah Tinggi Teknologi Bandung Informatics Department Bandung40235 Indonesia

ISBN: (纸本)9798350305029

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. © 2023 IEEE.

关键词： Internet of things

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A Comparison of Multi Class Support Vector Machine vs Deep Convolutional Neural Network for Brain Tumor Classification

A Comparison of Multi Class Support Vector Machine vs Deep C...

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International Seminar on Application for Technology of Information and Communication (ISemantic)

作者： Nur Ryan Dwi Cahyo Christy Atika Sari Eko Hari Rachmawanto Cahaya Jatmoko Rabei Raad Ali Al-Jawry Mohamed Ayad Alkhafaji Department of Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Department Computer Science Northern Technical University Semarang Indonesia Department of Computer Engineering Technology Northern Technical University Mosul Iraq Department of Computer Sciece National University of Science and Technology DhiQar Iraq

Multi SVM has long been one of the popular methods in classification, while DCNN has recently gained significant attention in image processing and pattern recognition. This research evaluates the effectiveness of Multi Class Support Vector Machine (M-SVM) and Deep Convolutional Neural Network (DCNN) techniques in classifying brain tumors. A dataset of 2660 3D medical images with dimensions 227 x 227 x 3; including Glioma, Meningioma, and Pituitary tumors, has been partitioned into distinct sets for both training and testing purposes. DCNN approach achieves excellent accuracy in identifying tumor names, with a training accuracy of 97.8% and 100% success rate in 9 experiments. The Multi SVM method demonstrates relatively good accuracy, with training accuracies ranging from 70% to 90% based on different kernel functions. These findings provide valuable insights for selecting appropriate methods in brain tumor classification and encourage further exploration of hybrid Multi SVM-DCNN approaches to enhance accuracy and reliability.

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Digital storytelling of Physics (DiS-Phy): Learning physics from home through stories 10

Digital storytelling of Physics (DiS-Phy): Learning physics ...

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10th National Physics Seminar, SNF 2021

作者： Sanjaya, L.A. Putri, E.A. Wibowo, F.C. Robby, D.K. Puspa, R.W.D. Pertiwi, W.A. Sianipar, L.K. Qoiriyah, W. Sitompul, H. Department of Physics Education Universitas Negeri Jakarta Jakarta13220 Indonesia Department of Management Education Universitas Negeri Jakarta Jakarta13220 Indonesia Kartika VIII-1 Senior High School Jakarta Indonesia Management of Islamic Education STAI AHSANTA Jelutung Kota Jambi Jambi36125 Indonesia Department of Physics Education Universitas Pelita Harapan Tangerang15811 Indonesia Informatics Engineering Study Program Faculty of Engineering Sheikh Yusuf Islamic University Tangerang Indonesia

This study aims to develop a product such as "Digital storytelling of Physics (DiS-Phy)" that can be used as a physics’ educational media for distance learning (PJJ) on magnetic field material. DiS-Phy developed as a digital storytelling media which is able to combine several learning media such as writing, pictures and learning videos in one medium. The developed DiS-Phy also equipped with scientific literacy questions. DiS-Phy can be accessed on all types of distance learning devices such as smartphones, laptops and tablets that are connected to the internet. DiS-Phy including the type of research and development (Research & Development) which refers to the ASSURE model. The result of validation test shows the percentages of 91,07%, according to subject-matter expert, 93,16%, according to media expert and 87,50% according to learning expert. DiS-Phy also tested by 4 physics teachers at senior high school in Jakarta that achieved 92,57% points that make this product has been qualified as a worthy physics’ distance learning device. Also of 35 as respondents in this study shows the percentages of 87,48% points that make this product worthy to use as an educational media. Based on the results, it can be concluded that the DiS-Phy has been qualified as a worthy physics’ distance learning device for teachers and students. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： E-learning

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Design Technology of Geographical Information System of Rice Pandanwangi Cianjur Prediction Factors Products

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

作者： Ai Musrifah Andri Adikusuma Sutono Informatics Engineering Study Program Faculty of Engineering University of Suryakancana

Cianjur is one of the renowned rice producers, particularly with the presence of Pandanwangi rice that can be grown in the Cianjur area. Pandanwangi has become one of Cianjur City's icons, the rice supremacy created by Pandanwangi Cianjur's tenacity and distinctive scent (pandanus fragrance). The Interest of pandanwangi was very high, both within the town of Cianjur and outside the town of Cianjur, but this was inversely proportional to the desires of the groups of farmers who appeared to prefer to plant rice other than Pandanwangi, on the grounds that the planting of Pandanwangi had a long harvest and that the likelihood of crop failure was also very high. Problems with information flows that are not well integrated between farmers' groups, farmers' group organizations, and the Agriculture Department in adjusting land details, planting time, planting location, estimating total harvest and harvesting time. To solve this problem, a framework must be built that can integrate the information needed for Pandanwangi Cianjur Harvest Prediction with Pandanwangi farmers' regional analysis based on geographic information system technology, using Google Maps Service.

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Scientometric Analysis of Artificial Intelligence Research in Agriculture 4

Scientometric Analysis of Artificial Intelligence Research i...

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4th International Conference on informatics, Multimedia, Cyber and Information System, ICIMCIS 2022

作者： Maulana, Fairuz Iqbal Pramono, Andi Hamim, Miftahul Prihatin, Sukeipah Yuli Arifuddin, Rahman School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia School of Design Bina Nusantara University Interior Design Department Jakarta11480 Indonesia Binus Business School Bina Nusantara University Entrepreneurship Business Creation Jakarta11480 Indonesia Politeknik Kota Malang Informatics Study Program Malang Indonesia University of Merdeka Malang Department of Electrical Engineering Malang Indonesia

ISBN: (纸本)9781665473279

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. © 2022 IEEE.

关键词： Agriculture

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Combination of Otsu and Canny Method to Identify the Characteristics of Solo Batik as Surakarta Traditional Batik

Combination of Otsu and Canny Method to Identify the Charact...

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International Conference of Computer and informatics engineering (IC2IE)

作者： Jani Kusanti Agung Suprapto Faculty of Electrical and Information Engineering Informatics Study Program Surakarta University Surakarta Central Java Indonesia Faculty of Da'wah Islamic Broadcast Communication Studies (KPI) IAIN Salatiga Salatiga Central Java Indonesia

ISBN: (纸本)9781728123851

Batik Surakarta has characteristics that not everyone understands, the difference in characteristics lies in the design characteristics, primary colors, and motifs. Surakarta's traditional batik designs and motifs have cultural values that are worth preserving. The combination of the otsu method and the canny method is used to build an application system to improve the results of identifying traditional Surakarta batik images, characteristic features, and shapes of batik patterns. Segmentation is done by partitioning the image into the object area using otsu and determining the boundary of the object using canny to get the characteristics of the image. The results of segmentation processed by selecting and extracting features by selecting quantitative information from existing features using the GLCM method. The characteristics taken are energy, homogeneity, correlation, and contrast. The results of the four characteristics classified into seven Surakarta batik classes, namely Kawung motif, Sido Mukti motif, Truntum motif, Sawat motif, Satrio Manah motif, Parang motif, and Semen Rante motif. The data used are 100 image data, which divided into 70 training data and 30 test data. The results showed that the accuracy rate was 93%.

关键词： Image edge detection Feature extraction Image segmentation informatics Backpropagation Gray-scale Correlation

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Observing Generator Performance by Finite Element Analysis Considering Coil Numbers

Observing Generator Performance by Finite Element Analysis C...

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Technology and Policy in Energy and Electric Power (ICT-PEP), International Conference on

作者： Muhammad Afnan Habibi Mochamad Farhan Ali Irfani Langlang Gumilar Arya Kusumawardana Aripriharta Angger Baskoro Study Program of Power Plant Engineering Technology Universitas Negeri Malang Malang Indonesia Department of Electrical Engineering and Informatics Universitas Negeri Malang Malang Indonesia Dept. Electrical Engineering and Computer Sciences National Yang Ming Chiao Tung University Hsinchu Taiwan

This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies.

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Optical character recognition and long short-term memory neural network approach for book classification by librarians

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Journal of Physics: Conference Series 2020年第3期1567卷

作者： YD Rosita YN Sukmaningtyas Study Program of Informatics Engineering Universitas Islam Majapahit

The book is classified by librarians that use Decimal Dewey Classification (DDS) System. It is used for cataloging and indexing books. DDC has three divisions, a ten, a hundred, and a thousand. The book subject is reflected in each division. Commonly, to know the book content, librarians read the book title. Then, they identify the book index in DDC system. Nevertheless, it requires more time. To read the book title, Optical Character Recognition (OCR) aids them to get the book title efficiently that convert the image of the book cover into the text-editable. Librarians use a web camera to scan the book cover, especially the book title area. There are three steps for pre-processing, the lowercase changing, the useless word removing, and tokenizing. To detect the book categories, Long Short-Term Memory Neural Network is good implemented in this research. It is almost used for text classification. In this research, It gives high performance that achieves more than 92% accurately.

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