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Study of runway crosswind and tailwind potential for airport sustainability: A study of Soekarno Hatta airport, Cengkareng, Indonesia

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： W Sardjono Zulkarnain H Kusnoputranto TEB Soesilo DN Utama J Sudirwan Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management BINA NUSANTARA University Jakarta Indonesia 11480 Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Faculty of Public Health University of Infonesia Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480

Airport runway designs must consider wind climatology to reduce the potential for crosswind and tailwind events that can cause accidents and aircraft delays. The large potential of crosswind and tailwind on a runway at the airport is very detrimental to aircraft passengers and airlines. Therefore, it is necessary to know the potential of crosswind and tailwind on the runway of Soekarno Hatta Airport and find the right parameters for the approximate direction and speed of the wind on the airport runway. Analysis was carried out using the direction and wind speed data from the Soekarno Hatta meteorological station in 2007-2017 to determine the potential for crosswind and tailwind on the runway of Soekarno Hatta airport and run a Weather Research and Forecasting (WRF) weather model to determine the parameterization of the right weather model for wind forecast at Soekarno Hatta airport. The highest maximum crosswind component in the 2007-2017 period occurred in August 30.53 knots, while the highest maximum tailwind of 25 knots occurred in January for a 250-degree runway and 24 knots occurred in August for a 070-degree runway. The potential for crosswind and tailwind is different every month. The scheme produces forecasts of wind direction and speed with a strong level of correlation with observations of wind direction and speed from the Soekarno Hatta meteorological station, the correlation value is 0.61. The most significant social impact of plane delays is time loss for passengers. While the economic impact on one of the crosswind events at Soekarno Hatta airport was an economic loss for one airline of US $ 43,392.

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Measurement of airline service sentiment analysis using vector space model

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AIP Conference Proceedings 2024年第1期3132卷

作者： Aries Maesya Harco Leslie Hendric Spits Warnars Ford Lumban Gaol Benfano Soewito Department of Computer Science BINUS Graduate Program Bina Nusantara University Jakarta Indonesia

Airlines are an organization that provides flight services for passengers or goods in Indonesia. There are many airlines available at this time giving passengers the option to choose the airline they want to use. Online reviews are one factor that is quite important in influencing consumer trust and interest in choosing an airline. On the Tripadvisor site, few or many reviews are given by consumers will have an influence on other potential customers but monitoring and organizing reviews from other consumers is not easy. There are too many reviews published from online review sites if they are processed manually. Therefore, it is necessary to use a sentiment analysis application to classify positive, negative, and neutral reviews from consumers so that it speeds up and makes it easier to review the shortcomings of each airline. Method Vector Space Model is used because it is relevant and effective in searching and categorizing text documents by using Cosine Similarity to look for similarities between the query vector and the document vector. The evaluation method used is Confusion Matrix which will calculate the accuracy precision and recall of the resulting test value. The results of the evaluation and validation carried out by this study resulted in an accuracy value of 76,42% with a value of precision of 83% and a recall of 87%.

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Design and Implementation Data Warehouse in Insurance Company

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Journal of Physics: Conference Series 2019年第1期1175卷

作者： Ryan Ari Setyawan Eko Prasetyo Abba Suganda Girsang Department of Informatics Engineering Janabadra University Yogyakarta Indonesia 55231. Computer Science Department Binus Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia.

Insurance company are certainly has a rich of data from their business process. One of the data is related to business process sales. From this sales data can be used to analyze the condition of a company whether the condition of the company is in a good condition or not. The purpose of this research is to develop a technique to analyze this data from the company. The method used to implement the data analysis in this paper is to design a data warehouse. Use ninestep methodology as the method for design data warehouse and Pentaho as a tool for ETL (Extract, Transform, Load), OLAP analysis and reporting data, the results of this research concluded that the implementation of data warehouse for perform data analysis and reporting better and more effective.

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Mobile Application Development to Mitigate the Risk of Earthquake

Mobile Application Development to Mitigate the Risk of Earth...

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IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

作者： Adeliana Yuwono Audrey Chrysler Triladias Puteri Harco Leslie Hendric Spits Warnars Muhammad Arba Adnandi Ihsan Maulana Sasmoko Computer Science Department Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia Faculty of Tourism and Creative Industries Muhammadiyah University of Tangerang Tangerang Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728126654

ISBN: (纸本)9781728126661

Indonesia is prone to natural disasters such as an earthquake. Many people are clueless regarding what to do when an earthquake occurs. An earthquake has caused a more devastating outcome due to it being able to lead to other hazards. The idea of developing a mobile application surfaced by reading and receiving inspiration from the previous research. Previous research has been implementing different kinds of ways to alert people regarding the upcoming earthquake. The development of a mobile application to provide a platform that will assist people with information on what to do in times of before, during, and after the earthquake. Therefore, people will have a source that they can turn to when seeking information about the steps to be done when an earthquake occurs. Besides, providing information apropos to earthquakes, the mobile application will send further alerts to the people that are in that specific area. Moreover, people will be able to be aware of the particular areas that they are in. The alerts sent will give information to the people so that they could evacuate to safety as soon as possible before the upcoming earthquake occurs.

关键词： Earthquakes Mobile applications Landslides Monitoring Tsunami Floods

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Inventory control systems with safety stock and reorder point approach 1

Inventory control systems with safety stock and reorder poin...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Efrilianda, Devi Ajeng Mustafid Isnanto, R. Rizal Master Program of Information Systems School of Post Graduate Studies Diponegoro University Semarang Indonesia Department of Statistics Faculty of Science and Mathematics Diponegoro University Semarang Central Java Indonesia Department of Computer Systems Faculty of Engineering Diponegoro University Semarang Indonesia

ISBN: (纸本)9781538609545

The inventory control systems has an important role to monitor the condition of the goods at the supply chain stage of goods distribution from the central warehouse to retail in accordance with consumer demand. The research aims to develop inventory control systems on the supply chain distribution of goods from suppliers to retail through the central warehouse with minimal supply chain costs. Minimization of supply chain cost using martingale model of forecast evaluation, and the result as the basis for calculation of safety stock and reorder point. The results of research are the system that can be used to control inventory and renewal of goods in the central warehouse by calculating the minimization of supply chain cost based on consumer demand. Case studies were conducted on the supply chain distribution of goods from the central warehouse to the retail in Semarang. The observation data derived from the goods distribution from central warehouse to retail for certain products over 4 time periods. Through such inventory control system, can minimize supply chain cost, and product inventory level can be maintained in time and amount of inventory that must be fulfilled. © 2018 IEEE.

关键词： Supply chains

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The implementation of computer based instruction model on Gost Algorithm Cryptography Learning 2

The implementation of computer based instruction model on Go...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Limbong, Tonni Simarmata, Janner Tambunan, A.R.S. Siagian, Parulian Panjaitan, Joel Siagian, Lestina Sitorus, Erbin Sakti Hutabarat, Marvin Frans Girsang, Abba Suganda Lumbanbatu, Katen Universitas Katolik Santo Thomas Jalan Setia Budi No. 479 F Tanjung Sari Tj. Sari Medan Selayang Medan20132 Indonesia Universitas Negeri Medan Jalan Willem Iskandar Pasar V Medan20221 Indonesia Universitas HKBP Nommensen Jalan Sutomo No.4A Perintis Medan Timur Medan20235 Indonesia Akademi Teknik Deli Serdang Jl. Sultan Hasanuddin Tj. Garbus Satu Lubuk Pakam Deli Serdang20518 Indonesia Institut Sains Dan Teknologi TD Pardede Jl. Dokter TD Pardede No. 21 Medan Baru Medan20152 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia STMIK Kaputama Jl. Veteran No. 4A - 9A Tangsi Binjai20714 Indonesia

The objective of this study is to develop learning media by using the computer Based Instruction (CBI) model for GOST algorithm cryptographic material (Gosudarstvennyi Standard). Besides, the study serves to present learning using computer media, especially in the Informatics Engineering study program. The method used in this study uses the Research and Development (R & D) method. The results of this development research are learning media products in the form of tutorial CDs with the contents of the material: GOST Cryptographic Theory, Encryption Process and Decryption process using alphabet text data. Based on the results of the application and testing of the program, it can be concluded that this application is easy to use. Learning the Gost algorithm in the encoding method utilizing the computer Based Instructions (CBI) method helps to understand the material and facilitate the learning process. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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Count time series modelling of Twitter data topic modelling: A case of Indonesia flood events

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AIP Conference Proceedings 2023年第1期2594卷

作者： A. A. Hidayat B Pardamean 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

Twitter data provide rich and powerful information to leverage the dynamics of public perception to establish situational awareness and disaster mitigation strategies during critical times. In this paper, we perform topic modeling via Latent Dirichlet Allocation to extract topics from a collection of tweets related to Indonesia flood events in February 2021 with the query: “banjir”. The extracted topics are used as one of the features to build a generalized linear count time series model with Negative Binomial distribution. We find seven major topics from the model in which tweets containing a topic about the government’s role in handling the situation dominate the conversation. Taking into account a simple intervention analysis, we demonstrate a statistically significant change in the users’ behavior before and after the severe Jakarta flood on 20 February 2021. Moreover, a metric evaluation demonstrates that a covariate that describes the turning point of the Jakarta flood event is convenient to build a more accurate count time series model of the tweets.

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Facial Recognition Development to Detect Corporate Employees Stress Level

Facial Recognition Development to Detect Corporate Employees...

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IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

作者： Munif Faisol Abdul Rahman Vincent Vito Christian Giovanni Harco Leslie Hendric Spits Warnars Gagah Dwiki Putra Aryono Bayu Megantoro Sasmoko Computer Science Department Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Research Interest Group in Educational Technology Bina Nusantara University Jakarta Indonesia SMK PGRI of Serang city Serang Indonesia SMAN 2 of Bekasi city Bekasi Indonesia Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728126654

ISBN: (纸本)9781728126661

Technology has developed so well even to the point where machines can recognize our faces. There many APIs and algorithms out there that can recognize human faces. These APIs or algorithms is called Artificial Intelligence or AI. As modern civilian life in modern society, AI has been used so many times and developed into something more. This time, we proposed an idea to recognize motions and emotions on human faces to detect their stress levels. Companies nowadays need to have something that can know how their employees are feeling or think about their work. This program works by taking an image input from mounted cameras on the office's monitor. However, before that, the program must have been trained first to recognize faces and emotions. For this, the eigenfaces algorithm is used. After the input is received, then the program will process the image received and extract the features from the images such as eyes, nose, mouth, etc. to detect if there are faces and also the emotions of the face. After that, the features extracted will be matched with the features in the database to give an output of the percentage of stress.

关键词： Face recognition Stress Faces Feature extraction Software algorithms Cameras

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Numerical analysis of general-vibration-based method for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

For damage detection, this research article discusses an easy-to-compute damage index derived from the governing dynamic of the structure that has potential practical application in Structural Health Monitoring (SHM). The research uses simplified structural models to explore the sensitivity of the index to damages, to compare the index performance with a traditional but popular damage detection method, and to understand the local/global predictive capability of the index. The research uses two simple models, namely, single- and two-degree-of-freedom systems. The results suggest that the damage index is local, that can only monitor damages occurring near the points of measurements, but it is sensitive to damages, unlike the natural frequency, which is global but less sensitive.

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The accuracy of the F statistic for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Understanding the reliability of engineering methods is crucial for its adoption and deployment. This research focuses on the reliability of the Power Spectral Density (PSD) method via the use of the F statistic for damage detection. To the author best knowledge, the method is rather classic but its realibility has not been discussed in the context of a large data size. Priory, the research anticipates that the accuracy is a function of the damage level. In this study, we evaluate 3500 cases with five levels of structural integrity, namely, healthy condition and damaged conditions with 1%, 5%, 10%, and 20% damage levels. The dataset is established via a numerical analysis of a seven degree-of-freedom system loaded with a concentrated dynamic force with random magnitude. A spring on the system is reduced in its stiffness to simulate damages. Our significant findings are the following: it is challenging for the PSD-based method to differentiate the healthy condition from the damaged conditions when the damage level is small. However, the reliability is high at 95% probability when the structural integrity has dropped by five percent.

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