A. D. W. Sumari, Krista Bella Dwi Rahayu Nur Widyasari, V. A. Lestari
{"title":"A Knowledge Growing System-based Decision Making-Support System Application for Forces Command and Control in Military Operations","authors":"A. D. W. Sumari, Krista Bella Dwi Rahayu Nur Widyasari, V. A. Lestari","doi":"10.1109/ICISS53185.2021.9533245","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533245","url":null,"abstract":"Decision-making in Commanding and Controlling (C2) of forces in a Military Operations (MILOPS) is a complex and tiring task, especially it requires a sustainable cognitive activity where the safety of the soldiers and the success of the mission objective are the primary consideration. In this research, we have developed a new Cognitive Artificial Intelligence (CAI)-based application for supporting the commander in carrying out C2 in a MILOPS. The core of the application is Knowledge Growing System (KGS) with ASSA2010 information-inferencing method that computes the three MILOPS primary parameters, namely Weather, Field, and Enemy (WFE). The computation results are the most probable route for delivering the forces considering the conditions of the WFE. The results of the test show that the Knowledge Growing System-based Decision Making-Support System for MILOPS (KGS-DMSSMILOPS) application has successfully worked properly.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Reference Framework for the Performance-Based Decision Support of City Authorities in Urban Freight Transport","authors":"T. Otte, Tobias Meisen","doi":"10.1109/ICISS53185.2021.9533210","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533210","url":null,"abstract":"Urban freight transport is one major contributor to the existing externalities of urban transport (e.g., congestion, pollutant emissions). While the extent of these externalities is often the result of decentral and extra-urban decision-making processes of involved actors (e.g., tour planning and routing of fleet operators), the responsibility to implement corrective as well as preventive measures is typically centralized in the hands of the city authorities. In conformity with their key functions, the authorities have to meet, the often oppositely aligned, societal expectations, business needs as well as existing political objectives. Amplified by this constellation, selecting effective measures with positive cost-benefit relations for the society from an existing plethora of measures leads to complex decision scenarios and embodies a particularly challenging endeavor. In order to supplement existing approaches to support the decision-making of city authorities in urban freight transport (e.g., modeling and simulation; stakeholder involvement procedures), performance-based procedures from the domain of information management embody promising approaches. As one fundamental step towards their realization, this paper presents a reference framework to define the system boundaries, to relate the involved system components, and to establish a consistent perspective as well as a uniform understanding for scholars and practitioners. In this context, the framework development process is presented along with a pre-defined set of requirements.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131062731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hafid Galih Pratama Putra, S. Supangkat, I. B. Nugraha, F. Hidayat, PT Kereta
{"title":"Designing Machine Learning Model for Predictive Maintenance of Railway Vehicle","authors":"Hafid Galih Pratama Putra, S. Supangkat, I. B. Nugraha, F. Hidayat, PT Kereta","doi":"10.1109/ICISS53185.2021.9533201","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533201","url":null,"abstract":"Indonesia’s geographical layout makes it challenging to create a single united railroad network with many branches. Instead, the railroad operation is divided by location, mainly between large islands such as Java and Sumatra. Therefore, distributing appropriate resources for each operational area is hard to manage properly. Kereta Api Indonesia, which provides rail transportation services, needs to address and change its various business processes to achieve Digital Transformation. Among them, asset maintenance is crucial in railroad operations. This paper will focus on designing machine learning models using actual data available from railway vehicles such as generator trains to predict their condition for maintenance by utilizing classifying algorithms for machine learning, which can help automate routine checks. As a preliminary research paper, testing and evaluation of the machine learning model are not available yet.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121501100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anomaly Detection Techniques in Smart City: A Review from a Framework Perspective","authors":"O. M. Prabowo, S. Supangkat, E. Mulyana","doi":"10.1109/ICISS53185.2021.9533252","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533252","url":null,"abstract":"A smart city is a notion in which a city may effectively and efficiently manage its resources in order to improve the quality of life of its residents. With the existence of information technology as an enabler, the city is able to carry out sensing, understanding and acting at a certain level. Anomaly detection is a growing field of research in almost all domains, one of which is smart cities. In a smart city, anomaly detection enters into the context of understanding, where the data received, both cyber physical system sensors and user generated content are processed to obtain unusual data that can affect predictions or forecasts. Many studies have been carried out related to anomaly detection methods and techniques related to the smart city environment but have not been categorized according to the domain or framework that is in accordance with the smart city model. This study aims to present the results of a systematic literature review on anomaly detection techniques categorized according to the Garuda Smart City Model, a model designed for smart city development in Indonesia. Based on the results of a systematic literature review, many research gaps have been found for anomaly detection in a smart city environment related to performance limitations, the effect of implementation methods, and the use of anomaly detection as part of the prediction and forecasting methods.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115993584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting COVID-19 Spread using Simple Time-Series Statistical Models","authors":"Badriya Khayyat, F. Harrou, Ying Sun","doi":"10.1109/ICISS53185.2021.9533192","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533192","url":null,"abstract":"Accurate and timely forecasts of new COVID-19 cases and recoveries would assist in the management of medical resources and bolster public policy formulation during the current pandemic. This study aims to forecast records of confirmed time-series data using simple time series models. Importantly, to predict COVID-19 data of limited size, the performance of statistical time series models, including Linear Regression (LR) and Exponential Smoothing (ES), was investigated. The daily records of confirmed and recovered cases from Saudi Arabia, India, and France were adopted to train and test the investigated models. The forecasting accuracy has been assessed based on three commonly used statistical indicators. Results reveal that the LR model did not forecast COVID-19 time-series data successfully. On the other hand, the ES model showed a promising forecasting performance for both recovered and confirmed times-series data. Furthermore, results showed that ES outperformed the Decision Tree regression and support vector regression with linear kernel.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Weather Adaptive Intelligent Street Lighting System With Automatic Fault Management Using Boltuino Platform","authors":"Dipanjan Saha, Sk Mahammad Sorif, P. Dutta","doi":"10.1109/ICISS53185.2021.9533234","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533234","url":null,"abstract":"Streetlighting is an important feature of any city since it improves night vision and makes roadways safer. However, it consumes a significant amount of electricity. In the manual system the streetlights are powered for a set period of time with maximum intensity even when there’s adequate light available. This wastage of electricity can be avoided by extinguishing the lights automatically and controlling the intensity of the light. The saved energy can be productively used for different purpose like transportation, commercial, residential and so on. A faulty streetlamp can lead to accident and encourage crime. In the current streetlight system fault detection conduct through manual inspection by electrical inspector or by getting complaint. So, the manual fault detection takes longer time to detect the fault and further rectification. This paper presents a weather friendly streetlight control and maintenance system based on the Boltuino (Bolt IoT+ Arduino) platform. The main objective of this proposed system is to make the conventional streetlight system more energy efficient, weather adaptive, easier to monitor and control detecting fault automatically and minimize the manpower. The technique utilizes LDR with power efficient LED (Light Emitting Diode) to control the light intensity. The IR sensors are used to sense the activity of the traffic so that it can send signal for LEDs to get brighten up for the following particular portion of the road. The LEDs can be act accordingly to the weather. The system can also detect any faulty streetlight and inform the authority by text message with the streetlight pole location. So that servicing can be initiate immediately. The proposed project has accomplished an improved performance with respect to the existing systems.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125843762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research Network Analysis, Agenda Mapping and Research Productivity Monitoring: Insights from a Higher Education in the Philippines","authors":"Alfio I. Regla, Melvin A. Ballera","doi":"10.1109/ICISS53185.2021.9533262","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533262","url":null,"abstract":"Research is the fundamental role of a higher education institution or HEI in the Philippines to spur knowledge generation and transfer in the community. The collection of research and its activities can foster collaboration between academe and industry to contribute to economic development. As the institution’s collects its unstructured research data the challenge to determine its growing research areas, alignment to the research agenda suggested by the funding agency, authors topic of interest and the authors collaboration is challenging. This study aims to determine the growing research areas and its alignment to the harmonized research agenda suggested by the Department of Science and Technology (DOST) for 2017 and 2022, researchers’ topics or interest and authors collaboration from the collection of research outputs. Through the categorization of topic per paper the study finds out the growing areas of Technological Institute of the Philippines (TIP) and plot its research areas alignment to the DOST research agenda and visualize using the Tableau tools. Meanwhile, through social network analysis (SNA) with Gephi the study is able to show the authors collaboration networks and using the Latent Dirichlet Allocation (LDA) topic modeling technique can provide clusters of topics representing researchers’ topics of interest. Moreover, the visualization results can be a helpful tool for the research management and research decision and policy makers to recommend research area to focus and direction to increase research productivity.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Tresnawati, A. Mulyani, Dzikri Gumilang Pramudita
{"title":"Image Recognition on Rupiah Currency using Augmented Reality for Learning Media","authors":"D. Tresnawati, A. Mulyani, Dzikri Gumilang Pramudita","doi":"10.1109/ICISS53185.2021.9533193","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533193","url":null,"abstract":"The use of technology in learning media has been widely used. One of the technologies that can be used to support the learning process is Augmented Reality technology. So far, the way of working done in Augmented Reality is by scanning a marker that is made specifically to be able to bring up scanned information. Therefore, a design was made to create an Augmented Reality application that does not require a special marker but simply by utilizing existing objects, in this case using banknotes in rupiah currency and then displaying information about the images contained in the banknotes. The results of the study indicate that the application can run, and can help in learning the introduction of currency and culture according to the images contained in the banknotes.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117300387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Short Message Service Filtering with Natural Language Processing in Indonesian Language","authors":"Vincentius Tandra, Yowen Yowen, Ravel Tanjaya, William Lucianto Santoso, Nunung Nurul Qomariyah","doi":"10.1109/ICISS53185.2021.9532503","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9532503","url":null,"abstract":"As the amount of spam on messaging platforms such as emails have increased, the same has happened within Short Message Service (SMS) services as well. Within this study, Natural Language Processing was used on SMS in Indonesian Language (Bahasa), to create an Artificial Intelligence (AI) model capable of distinguishing between spam and other types of messages that are not spam. Within this study, we compared the performance of the Multinomial Naive Bayes Classifier and the Bi-Directional LSTM algorithm. We demonstrated this using code written in Python and the TensorFlow and Scikit libraries to generate reports, graphs and an application to test the performance of the models. Our results reveal that these methods are effective in filtering Bahasa Indonesia spam within SMS inboxes. In addition, we also published the SMS dataset in Bahasa with this paper.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132485459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Purnomo, A. V. Dian Sano, Hendro Nindito, E. D. Madyatmadja, C. Sianipar
{"title":"Mapping of Smart Economy Research Themes: A Nine-Year Review","authors":"A. Purnomo, A. V. Dian Sano, Hendro Nindito, E. D. Madyatmadja, C. Sianipar","doi":"10.1109/ICISS53185.2021.9533229","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533229","url":null,"abstract":"Research on the smart economy as a part of a smart city continues to develop but is limited to one country and/or one field. From a bibliometric review, this study aims to visually study mapping and research trends in the field of the smart economy on an international scale. This study used bibliometric techniques with secondary data from Scopus. Analyze and visualize data using the VOSViewer program and the analyze search results function on Scopus. This study analyzed 125 scientific documents published from 2011 to 2020. According to the research, the Peter the Great St. Petersburg Polytechnic University, Russia, and Mboup, G. had the most active individual scientists and in smart economy research. Computer science and Advances in 21st Century Human Settlements were the most studied and disseminated outlet of smart economy research. There was one category map of collaborative researchers from around the world. Based on the identification of a collection of knowledge generated from nine years of publication, this research proposes a grouping of smart economy research themes: Economy, Application of smart cities, Smart technology, Smart cities character, Economy of urban, Education and Smart environment, abbreviated as EASSEES research themes.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131024095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}