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  • Study of Hybrid Flood Forecasting Approach Combining Multiplicate Seasonal Arima and Hybrid-Neuro Fuzzy Based on Long-Term Time Series

    Study of Hybrid Flood Forecasting Approach Combining Multiplicate Seasonal Arima and Hybrid-Neuro Fuzzy Based on Long-Term Time Series

    Authors: Sri Supatmi, Irfan Dwiguna Sumitra, Rongtao Hou

    Abstract

    This research proposes a modern hybrid method to forecast the flood employing an approach combining Multiplicative Seasonal Autoregressive Moving Average (MSARIMA) and Hybrid-Neuro Fuzzy Inference System (HN-FIS) based on long-term time series. This proposed method is called Hybrid Flood Forecasting System Technology (Hybrid-FFST). This research aims to improve three previous types of research on flood forecasts, such as flood prediction using HNFIS and flood forecasting using MSARIMA and rainfall prediction using Multiplicative Seasonal Autoregressive Moving Average Subsequence Aggregate (MSARIMASA). This research has taken place in Bandung West Java Province, Indonesia. The performance of flood event forecasting improving by using the hybrid approaches method using both MSARIMA and two levels of HN-FIS. This proposed method employs six parameters: rainfall, temperature, population density, large watershed, the altitude of the area, and slop of the land to predict the flood event. The performance of this method is generated and fitting well using the Hybrid-FFST approach and the verified by Mean Absolute Percentage Error (MAPE), Root Means Square Percentage Error (RMSPE), and Mean Forecast Error (MFE) to identify the best-fitted model of the proposed model. The proposed model’s performance is compared using MAPE, RMSPE, and MFE with MSARIMA, HN-FIS, and MSARIMASA model. The confidence performance of the proposed method obtains more significant than 97% according to the MAPE, RMSE, and MFE values. The proposed model results indicate better performance than the MSARIMA, HN-FIS, and MSARIMASA models to forecast the flood event. The impact of this research is the flood can be predicted before occurred in someplace. © School of Engineering, Taylor’s University.

    Author keywords

    Flood; Flood forecasting system; Hybrid approach; Prediction

    This article can be accessed at https://www.scopus.com/pages/publications/85111844671

  • Wind Load on Temporary Air Rib Inflated Pneumatic Building Structure

    Wind Load on Temporary Air Rib Inflated Pneumatic Building Structure

    Author: Salmon Priaji Martana

    Abstract

    This study aims to provide an example of calculating the wind load in an air rib inflated structure. The method used was an architectural simulation in which building criteria were created and then realized in a CAD-generated iconic model. The building is divided into several segments, analysed mathematically using a calculation method adapted from conventional rigid structure calculations. The lift and drag force results obtained in this study can be used to determine how the air-inflated rib structure builds up against these forces so that each rib element remains anchored on the ground when facing the external forces. To tackle the lift up force is then the next issue of finding the correct foundation in a specific surface material to bind the structure to the ground. This study’s calculation model is expected to open the possibilities to develop safer air rib inflated structure application to stand the strong wind. © School of Engineering, Taylor’s University

    Author keywords

    Air inflated structure; Air rib structure; Pneumatic architecture; Pneumatic structure

    This article can be accessed at https://www.scopus.com/pages/publications/85111182516

  • Development of Class Library in Domain of Scrolling Shooter Game

    Development of Class Library in Domain of Scrolling Shooter Game

    Authors: Adam Mukharil Bachtiar, Dian Dharmayanti, Rakhmat Sabarudin

    Abstract

    The purpose of this research is to develop a Class Library in the domain of Scrolling Shooter games. The built of this Class Library will be used to develop Scrolling Shooter games as the result of this research. In software engineering, there is a reuse concept that is used to reuse functional systems. One application of this concept is the class library. With the class library, programmers can directly call the functions they need without building them from scratch. This study also used the class library concept for the domain of the shooter scrolling game case. The development of a Class Library is done through seven phases, Domain Analysis, Frozenspot Analysis, Hotspot Analysis, Modelling Class Library, Implementation Class Library, Unit Testing, and Integration Testing, and those will be the main discussion of this research. Furthermore, this research’s conclusion is expected to help game programmers develop Scrolling Shooter games without making the whole system functional from scratch. This research also contributes to software engineering concepts, namely: Reusable code, abstraction, and class design. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Class library; Domain analysis; Frozenspot analysis; Game scrolling shooter; Hotspot analysis

    This article can be accessed at https://www.scopus.com/pages/publications/85118679668

  • Student Attendance Monitoring System Using Fingerprint and Whatsapp

    Student Attendance Monitoring System Using Fingerprint and Whatsapp

    Authors: Rahmatya M. D, Wicaksono M. F

    Abstract

    This study aims at creating a student attendance monitoring system using fingerprint and WhatsApp. It is due to the tight activity of parents or guardians which make them difficult to monitor their children’s attendance at school. The system approach and development method used were object oriented and waterfall. The waterfall method consists of requirements, design, and implementation. The study results present that the system can send messages about students’ attendance via WhatsApp. The system can help the teacher in managing student attendance data as well as informing parents or guardians of students about the date and time when students enter and leave the school. Other than that, it can also help in informing students’ presence on that day so that parents or guardians know that the student is attending school. The system also provides summary of student attendance data in one semester via WhatsApp number of parents or guardians. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Attendance; Fingerprints; Monitoring system; School; WhatsApp

    This article can be accessed at https://www.scopus.com/pages/publications/85117191896

  • Min-Cost Flow Network to Detect Text Line on Certificate

    Min-Cost Flow Network to Detect Text Line on Certificate

    Authors: Indra Rianto, Ednawati Rainarli

    Abstract

    This study aims to use the Min-Cost Flow network to obtain text lines in the character detection that process on the certificate. Determining the text line is part of the text detection process before the word recognition process. Detection of the text that appears on the certificate is part of the process for automatically extracting information. The diversity of colour, font types and sizes, and the complexity of the certificate background make the scanner text detection more complex than other optical character detections. This study used the Tesseract tool to get character candidates and added merging characters into a text line using the Min-Cost Flow method. To improve the quality of the image, we used smoothing techniques with integral images. After the thresholding and segmentation process, the result is the input to Tesseract. The Tesseract detects the candidates of character. The test varies the confidence score, the threshold value for the vertical length of the two components, horizontal width, and font size difference. The best results are the confident score of at least 50, the horizontal width of less than 2, the vertical length of less than 0.2, and a difference in size between letters less than 2 with an F-Score of 62%. Even though the F-score is less than 70%, we found that the Min-Cost Flow method can select objects other than text detected by the Tesseract result, such as signatures and logos. Using the Min-Cost Flow, we can combine character candidates into one text line for later processing on text recognition. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Candidate components; Certificates; Min-Cost flow; Text detection; Text line

    This article can be accessed at https://www.scopus.com/pages/publications/85117332547

  • Min-Cost Flow Network to Detect Text Line on Certificate

    Authors: Indra Rianto, Ednawati Rainarli

    Abstract

    This study aims to use the Min-Cost Flow network to obtain text lines in the character detection that process on the certificate. Determining the text line is part of the text detection process before the word recognition process. Detection of the text that appears on the certificate is part of the process for automatically extracting information. The diversity of colour, font types and sizes, and the complexity of the certificate background make the scanner text detection more complex than other optical character detections. This study used the Tesseract tool to get character candidates and added merging characters into a text line using the Min-Cost Flow method. To improve the quality of the image, we used smoothing techniques with integral images. After the thresholding and segmentation process, the result is the input to Tesseract. The Tesseract detects the candidates of character. The test varies the confidence score, the threshold value for the vertical length of the two components, horizontal width, and font size difference. The best results are the confident score of at least 50, the horizontal width of less than 2, the vertical length of less than 0.2, and a difference in size between letters less than 2 with an F-Score of 62%. Even though the F-score is less than 70%, we found that the Min-Cost Flow method can select objects other than text detected by the Tesseract result, such as signatures and logos. Using the Min-Cost Flow, we can combine character candidates into one text line for later processing on text recognition. © 2021 Taylor’s University. All rights reserved.

    Author keywords

    Candidate components; Certificates; Min-Cost flow; Text detection; Text line

    This article can be accessed at https://www.scopus.com/pages/publications/85117332547

  • Perceived Neighborhood Walkability and Walking for Particular Purposes among Motorcyclists in Bandung City, Indonesia

    Perceived Neighborhood Walkability and Walking for Particular Purposes among Motorcyclists in Bandung City, Indonesia

    Authors: Romeiza Syafriharti, Kambaitan B, Ibnu Syabri, Puspita Dirgahayani

    Abstract

    This research was conducted to predict the effect of perceived walkability on walking behaviour among motorbike users in Bandung, for a specific purpose. The walkability factors tested are safety, security, and convenience. Meanwhile, the specific purpose when doing walking activities is walking for transport and walking for leisure. Binary logistic regression was used to analyse the effect of walkability on walking behaviour. From the results obtained, there is a difference in the effect of perceived walkability on the behaviour of walking for transport and walking for leisure. In addition, there are also differences in the effect of walkability on gender and age groups. The walkability factor that most influences the walking behaviour of people who usually use motorbikes is security and convenience. Although statistically, the effect of walkability is small on the walking behaviour of people who usually use motorbikes, the results are significant. These results show that walkability in the neighbourhood cannot be ignored. © School of Engineering, Taylor’s University

    Author keywords

    Convenience; Perceived walkability; Safety; Security; Walking for leisure; Walking for transport

    This article can be accessed at https://www.scopus.com/pages/publications/85121099111

  • Traditional Timber House Performance in Earthquake Zone Case Study: Traditional Village of Panjalin, West Java, Indonesia

    Traditional Timber House Performance in Earthquake Zone Case Study: Traditional Village of Panjalin, West Java, Indonesia

    Authors: Andi Harapan Siregar

    Abstract

    Traditional house in Panjalin Village is one of the Sundanese vernacular houses, houses that adopt the shape of Sundanese traditional houses. Many Sundanese traditional houses are found in Pangandaran and Tasikmalaya. Field observation conducted after the earthquake hit in 2007 and 2009 showed that those houses are more resistant than concrete-made houses. Sundanese traditional house in Panjalin Village is earthquake-related strength, Indonesian National Standard (SNI) earthquake zoning, and soil types. The studied area is categorized in Zone III in SNI earthquake zoning and has a hard-soil. This study method used qualitative and quantitative to get the data and conduct the analysis. Qualitative was conducted by discussing and taking photos of the traditional houses, and quantitative was conducted with measurement and modeling using the software. The modeling (with software) was conducted to beam and column of traditional houses to know its strength and moment, as the inputs to the whole force and shear force. The SAP 2000 ver. 14 (software) is used to conduct simulation tests to know traditional houses in Panjalin Village strength related to its categorized area and soil type. The purpose of this paper will be an input for local people who stay in an earthquake-prone area, to know (as a lesson learn) about the strength of their traditional house related to the earthquake. The conclusion is the traditional houses that built without an engineer and had adapted several times to nature behavior – in this case, is an earthquake – are tested by a computer program that is scientifically and rationally earthquake-proof. © School of Engineering, Taylor’s University

    Author keywords

    Building strength; Earthquake; Earthquake zone III; Hard soil; Panjalin village; Sundanese traditional houses

    This article can be accessed at https://www.scopus.com/pages/publications/85121146087

  • Nata De Coco Material Monitoring System Using Internet of Things

    Nata De Coco Material Monitoring System Using Internet of Things

    Authors: Bobi Kurniawan, Haq A. H, Alvian Sopian 

    Abstract

    The purpose of this research is to create a monitoring system for the solution-mixing process used to manufacture Nata de Coco using the Internet of Things. Nata de Coco’s manufacturing process usually mixes coconut water solution with vinegar and seed solution. The mixing process is usually used with manual measurement. In the mixing process, the makers usually only measure the amount of the solution mixture regardless of the final result and the effect of temperature and acidity levels for the ingredients. This can lead to the failure of the mixing process for the Nata de Coco solution. Therefore, in order for the mixing process to be controlled and to improve the quality and success rate of the mixture, it takes a system that can monitor the mixing process and the result of mixing the manufacture of Nata de Coco. The method used in the creation of this monitoring system refers to the prototype method with the stages of communication, quick planning, model design, prototype building, and system usage. The result of this study is a system that can perform the process of mixing Nata de Coco material solution that can be monitored in realtime in order to produce an excellent product with a good acidity level that is with a value of 3.5 to 7.5. With a good acidity value, it can produce good quality Nata De Coco. © School of Engineering, Taylor’s University.

    Author keywords

    Internet of things; Manucafture; Monitoring system

    This article can be accessed at https://www.scopus.com/pages/publications/85124609343

  • Potential Agricultural Land Suitability Visualization Using Augmented Reality Geographic Information System (AR-GIS)

    Potential Agricultural Land Suitability Visualization Using Augmented Reality Geographic Information System (AR-GIS)

    Authors: Hanhan Maulana, Hideaki Kanai

    Abstract

    This study aims to visualize the potential agricultural land suitability using the Augmented Reality Geographical Information System (AR-GIS). AR-GIS can provide an immersive experience to users. Bandung Regency area was chosen as the study area because it has good potential for agriculture. The challenge that motivates the development of Augmented reality in the visualization of Land Suitability is that farmers can use GIS practically to assist in decision making. This study has three main stages. The first and second stages integrated the MultiCriteria Decision Analysis (MCDA) with the Geographic Information System (GIS) method. The first stage aims to determine potential commodities using the MCDA method by considering economic, environmental, and plant characteristics factors. The second stage describes the land suitability evaluation process for each commodity using the GIS method. Based on the evaluation results, cabbage, potatoes, and onion are the most suitable plant to be cultivated in the study area. This result is consistent with statistical data that shows that these commodities have the highest productivity. The third stage of this study explains the process of map visualization using augmented reality. AR-GIS is expected to be able to provide a better map visualization display. With good map visualization, information on the GIS can be easy to understand by the user. Furthermore, it is hoped that the AR-GIS will have a high level of usability. © School of Engineering, Taylor’s University.

    Author keywords

    Augmented reality; Augmented reality geographical information system; Commodities; Geographic information system; Multi-criteria decision analysis

    This article can be accessed at https://www.scopus.com/pages/publications/85128131357