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1st International Conference of Artificial Intelligence and Information Technology, ICAIIT 2019

作者： Utama, Ditdit Nugeraha Faturrahman, Muhammad Rusdi, Methamazid Saputra, Ibnu Yahya Isnaeni, Fuji Suci Waspodo, Bayu Computer Science Department BINUS Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System UIN Syarif Hidayatullah Jakarta Indonesia

ISBN: (纸本)9781538684481

In Indonesia, owing to limited quota, Hajj pilgrim determination to go to Mecca is a challenging activity to realistically do. The registered candidates of Hajj pilgrim cannot become Hajj pilgrims all 100%, several of them have to wait in list until years. Based on scientific view, this study was conducted. The objective of study is to construct a computer model based on optimization conception to objectively clarify the current-year Hajj pilgrims. By methodically employing the hill-climbing (HC) method in optimizing process and also applying fuzzy-logic concept in parameterizing parameters, a scheme of 'double-stages fuzzy hill climbing (FHC) optimization' was constructed. Through bearing in mind seven selected parameters, the Hajj pilgrims in restricted quota were determined. The paper provides the detailed configuration of an optimization schema and constructed model. It also delivers the constructed model's simulation result regarding the determined 155,200 Hajj pilgrims (according to 2016 Indonesia Hajj pilgrim quota) for 33 Indonesias provinces from more than 220 thousand dummy (experimental) data of Hajj pilgrim candidates. © 2019 IEEE.

关键词： Optimization

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Decision support system using data warehouse for retail system

Decision support system using data warehouse for retail syst...

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International Conference on Engineering, Technology and Innovative Researches 2019, ICETIR 2019

作者： Girsang, Abba Suganda Arisandi, Geri Elysisa, Calista Michelle Saragih, Melva Hermayanty Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

CMK company is a retail company that sell and distributes miniature vehicle items to small stores. CMK has several branches in various countries that use for operational and storage warehouse. This company faces the problem for analysing sales to decide the useful strategy since this company only uses Online Transaction Processing (OLTP) database. This study implements Online Analysis Processing (OLAP) database and data warehouse to provide useful information for this company by using the nine-step method designed by Kimball & Ross. The data will be performed into dashboard to make easier for CMK Company to analyze data. Furthermore, many useful information can be provided in short and efficient time. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Data warehouses

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A Data Concept Map for the Data Driven Enterprise Using Smart Technologies 20

A Data Concept Map for the Data Driven Enterprise Using Smar...

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3rd International Conference on Big Data Technologies, ICBDT 2020

作者： Yeh, Tzu-Chen Chen, Hsiu-Chun Jwo, Jung-Sing Lin, Ching-Sheng Lee, Cheng-Hsiung Digiwin Software Co. Ltd 22F No.1 Lane1377 Jiangchang Rd Jingan District Shanghai200072 China Master Program of Digital Innovation Department of Computer Science Tunghai University Taichung City40704 Taiwan

ISBN: (纸本)9781450387859

Data Driven Innovation (DDI) is one of the main pillars leading to improved productivity and economic growth for companies. The adoption and use of DDI may determine their competitive advantages and innovation capabilities to exploit data. However, it is known that the key to DDI lies in the data itself. Comparing the use of data and the creation of innovation, the way how data flows, is collected and integrated is no less pressing. In this paper, we present the Data Concept Map to take into account the human factor for digitalization challenges and benefit organizations, especially for small- A nd medium sized enterprises, in terms of saving costs, improving flexibility and marching towards Data Driven Enterprise. We introduce the concept of utilizing smart technologies as a channel to work with humans for expediting data collection, system integration and information flow. An experimental case study is conducted for a manufacturing application to demonstrate the effectiveness of the proposed approach. © 2020 ACM.

关键词： Human engineering

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A simple student appraisal evaluation model based on multi-stage rule fuzzy logic

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AIP Conference Proceedings 2023年第1期2896卷

作者： Ditdit Nugeraha Utama Siti Sumiyati Irmawan Rahyadi Norhaslinda Zainal Abidin Norazura Ahmad Aida Mauziah Benjamin Wan Laailatul Hanim Binti Mat Desa Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Communication Department BINUS Graduate Program - Master of Strategic Marketing Communication Bina Nusantara University Jakarta Indonesia 11480 Institute of Strategic Industrial Decision Modelling School of Quantitative Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia Decision Science Department School of Quantitative Sciences Universiti Utara Malaysia 06010 Sintok Kedah Malaysia

An evaluating process that involves the multi parameters and rules is complex and complicated. Such complexity shows that the problem is a semi-unstructured problem. Thus, the problem faced is possibly solved by proposing a new intelligentdecision model to get the quantitative decision. Here, the experimental research was conducted by methodically operating the conception of multi-stage rule-based fuzzy logic. The experimental research is a Python programming language experiment and it is one implementation of the multi-stage rule-based fuzzy logic in solving the problem of a simple case for evaluating student performance. The evaluation model was designed thru an object-oriented approach and was conclusively able to show the result of100 dummy students’ performance values.

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Internet of Things in disaster management systems: A systematic review

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AIP Conference Proceedings 2023年第1期2594卷

作者： G. P. L. Barnabas H. Citrawati T. A. Santoso N. Surantha Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Electrical Electronic and Communication Engineering Faculty of Engineering Tokyo City University Tamazutsumi 1-28-1 Setagaya City Tokyo 158-8557 Japan

Disasters are unexpected, sudden events that may cause monumental damages to both materials and human lives. Hence, the unpredictability and destruction that follow when a disaster happens to pose a dire challenge for researchers, scientists, and governments to find ways to effectively handle the situation and flow of information when such an event strikes. The Internet of Things (IoT) presents a solution that involves using one or more mobile devices connected over the network, thus making the transfer of data and information more effective and efficient. This paper presents a holistic analysis of the state-of-the-art IoT technologies which can answer the challenge posed above, in addition to the demand for efficiency, mobility, accuracy, as well as better communications between the command center and all actors involved in disaster operations. The applications of IoT have varied for many purposes. We divide those purposes into two broad strokes of pre-disaster management and post-disaster management IoT-aided systems. For pre-disaster management, the IoT-aided systems are mostly used to predict the possible disaster that might happen using sensors placed in strategic places. Finally, for post-disaster management, the IoT-aided systems aid in improving the effectiveness and accuracy of evacuation, relief, and victim-tracking efforts.

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Financial transaction database design for jamu small-medium enterprises

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AIP Conference Proceedings 2023年第1期2594卷

作者： R. Rahutomo A. Permatasari Y. Lie B. Pardamean Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

As jamu small-medium enterprises (SMEs) concentrate on establishing online sales and computerized systems, Point of Sales (PoS) becomes a strategic solution to maintain financial ...

As jamu small-medium enterprises (SMEs) concentrate on establishing online sales and computerized systems, Point of Sales (PoS) becomes a strategic solution to maintain financial stability with its capabilities in recording electronic transactions accurately. As the initial step in technology empowerment for jamu SMEs, the research proposes a concept in facilitating jamu SMEs to adapt in online business. A combination of Connolly and Begg's database design principles and McCarthy's Marketing Mix 4P generates a conceptual design of PoS database targeted specifically for jamu SMEs. The database design manages online purchasing transactions for jamu products by involving not only jamu SMEs and consumers but also a system administrator who manages data verification and extraction.

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Low Resolution Face Recognition Using Generative Adversarial Network (GAN)

Research Square

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Research Square 2020年

作者： Martin, Howard Suharjito Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University - Anggrek Campus Jakarta11480 Indonesia Department Computer Science BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia

Face recognition has a lot of use on smartphone authentication, finding people, etc. Nowadays, face recognition with a constrained environment has achieved very good performance on accuracy. However, the accuracy of existing face recognition methods will gradually decrease when using a dataset with an unconstrained environment. Face image with an unconstrained environment is usually taken from a surveillance camera. In general, surveillance cameras will be placed on the corner of a room or even on the street. So, the image resolution will be low. Low-resolution image will cause the face very hard to be recognized and the accuracy will eventually decrease. That is the main reason why increasing the accuracy of the Low-Resolution Face Recognition (LRFR) problem is still challenging. This research aimed to solve the Low-Resolution Face Recognition (LRFR) problem. The datasets are YouTube Faces Database (YTF) and Labelled Faces in The Wild (LFW). In this research, face image resolution would be decreased using bicubic linear and became the low-resolution image data. Then super resolution methods as the preprocessing step would increase the image resolution. Super resolution methods used in this research are Super resolution GAN (SRGAN) [1] and Enhanced Super resolution GAN (ESRGAN) [2]. These methods would be compared to reach a better accuracy on solving LRFR problem. After increased the image resolution, the image would be recognized using FaceNet. This research concluded that using super resolution as the preprocessing step for LRFR problem has achieved a higher accuracy compared to [3]. The highest accuracy achieved by using ESRGAN as the preprocessing and FaceNet for face recognition with accuracy of 98.96 % and Validation rate 96.757 %. © 2020, CC BY.

关键词： Face recognition

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Questionnaire design for analyzing important risk factors of cervical cancer

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AIP Conference Proceedings 2023年第1期2594卷

作者： K. Purwandari D. Sudigyo A. S. Perbangsa A. Irwan B. Pardamean Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Cervical cancer is Indonesia's second leading cause of death, following only breast cancer. According to the World Health Organization (WHO), non-communicable disorders will be blamed for 70% of all deaths and illnesses in 2020, while other disease types will account for 60%. Cervical cancer can be detected earlier, lowering the chance of death. This study aims to validate and check the pap smear test results obtained from the previously conducted pap smear screening program. The pap smear questionnaire developed would help in the compilation of a patient's habit history that has undergone a pap smear test during his life based on the factors associated with the occurrence of cervical cancer. Specific details, social-demographic features, diet, genital hygiene activities, reproductive background and behaviors, and health care and cancer prevention behavior are also included in the questionnaire template. The consequence of this design is the completeness of evidence on the theory of anomalies dependent on the findings of pap smear sampling.

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Detection Of CT - Scan Lungs COVID-19 Image Using Convolutional Neural Network And CLAHE

Detection Of CT - Scan Lungs COVID-19 Image Using Convolutio...

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International Conference on Information and Communications Technology (ICOIACT)

作者： Ronaldus Morgan James Andi Sunyoto Master Program of Informatics Engineering Universitas Amikom Yogyakarta Yogyakarta Indonesia Faculty of Computer Science Universitas Amikom Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9781728173566

ISBN: (纸本)9781728173573

Detecting COVID-19 is a significant task for medical professionals today because of its rapid spread. To overcome this problem, medical professionals have used various techniques and methods to detect to inhibit the proliferation of COVID-19. CT (Computed Tomography) Scan is currently the best method for detecting COVID-19. This diagnostic method is very accurate because it can see organs in three dimensions. However, this method requires a radiologist to detect the disease and requires a long time, which means it will cut valuable time for medical practitioners if a patient is sick. Therefore it is necessary to implement a system to detect the coronavirus automatically as an alternative quickly. This study intends to help medical practitioners to detect computed tomography (CT) Scans of lungs infected with COVID-19. The methods to be used are Limited Adaptive histogram equalization (CLAHE) contrast to improve the quality of CT (Computed Tomography) Scan images of COVID-19 lungs and Convolutional Neural Network (CNN) for the image classification process. The dataset used is 698 RGB images. This study uses three convolutional layers, 3 Max-Pooling layers, and two fully connected layers, resulting in 83.28% accuracy.

关键词： COVID-19 Histograms Computed tomography Neural networks Lung Convolutional neural networks Medical diagnostic imaging

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The development of video analysis instrument to determine teacher's character

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AIP Conference Proceedings 2023年第1期2594卷

作者： Y. B. Gromang M. A. Rudhito D. Sudigyo T. Suparyanto B. Pardamean Department of Mathematics Education Universitas Sanata Dharma Paingan Maguwoharjo Depok Sleman Yogyakarta Indonesia 55282 Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

This study aims to develop a valid and reliable video analysis instrument to determine teachers’ character in the opening lesson in terms of its utterances and produce video analysis on micro-teaching that will be used in training related to Artificial Intelligence (AI). The type of research used is research and development. The subject of this research is the micro-teaching video of class E students’ batch 2019, Mathematics Education Study program at Sanata Dharma University. The product of this research is a video analysis instrument to find out the character of the prospective teachers, such as confidence, enthusiasm, and happiness in terms of voice utterances. This study uses the ADDIE research model. The results show that the video analysis instrument has a validity value of 4.80 which means it's very valid. Video analysis instrument to find out the enthusiastic character has a value of validity of 4.70, which means it's very valid. Then, the video analysis instrument to find out the character of happiness has a validity value of 4.60 which means it's very valid. The practicality of the developed video analysis instrument meets the required criteria with a practicality value of 4.31. Overall, the video analysis instrument developed belongs to an effective category.

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