Y. Bandung, Marco William Langi, K. Mutijarsa, A. Langi
{"title":"A Fractal Characterization of Cough Signals for Covid-19 Pre-Screening Applications","authors":"Y. Bandung, Marco William Langi, K. Mutijarsa, A. Langi","doi":"10.1109/ICISS53185.2021.9533203","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533203","url":null,"abstract":"This paper presents a correlation fractal dimension characterization as applied to auditory cough signals. We have obtained cough samples from person with and without Covid-19 disease. Our hypothesis is coughs coming from Covid-19 disease exhibit fractal behavior. To show this, we apply fractal-size measurements on both samples. Preliminary results confirm fractality on Covid-19 cough signals. This result can improve performance of pre-screening for identification the presence respiratory diseases, such as Covid-19.","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":"131144637","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":"Smart Video Surveillance System For Level Crossing: A Systematic Literature Review","authors":"Rian Putra Pratama, Suhono Harso Supangkat","doi":"10.1109/ICISS53185.2021.9533222","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533222","url":null,"abstract":"A level crossing is an intersection where a railway line crosses a road or path. The government has made regulation that set level crossings throughout Indonesia, Provisions on traffic and road transport in Law No. 22 of 2009. However, data from PT Kereta Api Indonesia (KAI) shows that during 2020 there was 198 accidents and around 5000 trespasses occurred at level crossings. The surveillance system currently used in level crossings is still conventional, which only relies on supervisory officers and some level crossings monitored by CCTV. Research in the field of video surveillance systems with a computer vision approach has been widely carried out in the past decade. Most researches on video surveillance systems try to replace human functions or traditional systems with video processing algorithms. This paper will review the literature on the application of artificial intelligence for the surveillance system level crossings published from 2015 to 2021. The literature review process consists of analyzing the document to determine the scope of the investigation using intelligent video surveillance systems, frameworks, methods and datasets to detect level crossing violators. In the conclusion of this paper, it will be explained about the challenges and opportunities of research on the object detected violations using intelligent video surveillance system in the future.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"15 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":"117235963","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. Langi, Marco William Langi, K. Mutijarsa, Y. Bandung
{"title":"An Overview of Fractal Processing of Noise-Like Auditory Signals","authors":"A. Langi, Marco William Langi, K. Mutijarsa, Y. Bandung","doi":"10.1109/ICISS53185.2021.9533247","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533247","url":null,"abstract":"This paper presents an overview of fractal signal processing for characterizing noise-like auditory signals. Fractal processing is particularly effective for signals exhibiting a kind of self-similarity property. This paper identifies four aspects of signals that may have such a property: (i) signal sets, (ii) signal spectra, (iii) signal measures, and (iv) signal sources. We describe a self-similar characterization of each aspect, and discuss their applicability in processing noise-like signals, especially for intended respiratory pre-screening applications.","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":"124336194","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":"The IoT and Cloud Based Smart Home Automation for a Better Energy Efficiency","authors":"Rosida Nur Aziza, Puji Catur Siswipraptini, Ma. Jabbar, Riki Ruli Siregar","doi":"10.1109/ICISS53185.2021.9533211","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533211","url":null,"abstract":"This paper proposes a prototype of an improved smart home automation system, with the integration of IoT, cloud technologies, and intelligence embedding. The automation and the ability for users to control their home appliances remotely are enabled with the use of IoT. Since a smart home also requires to consider the importance of energy efficiency while offering a certain level of comfort, the energy consumption is also monitored by placing several current and volatage sensors. The Raspberry Pi microcontroller board is used to gather and process information from sensors and allows the uploading of the data to the cloud database. A fuzzy-based algorithm is employed for helping the smart home controller to provide the right decisions based on the current home condition when the application runs in automatic mode. Meanwhile KMeans Algorithms is implemented to cluster the smart home user’s energy consumption.","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":"128961946","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}
Ilona Irena Gutandjala, Suhono Harso Supangkat, Ford Lumban Gaol, Benny Rianti
{"title":"Strategic Planning and Knowledge Management Approaches as input to remote area strategic plans: A Case study in Aru Islands Regency Maluku Province","authors":"Ilona Irena Gutandjala, Suhono Harso Supangkat, Ford Lumban Gaol, Benny Rianti","doi":"10.1109/ICISS53185.2021.9533215","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533215","url":null,"abstract":"Knowledge is an important asset in an organization. Aru Islands District is one of the districts in Maluku Province. The Government of Aru Islands District Maluku has a vision and mission as outlined in the Regional Strategic Plan or commonly referred to as RENSTRA. This vision and mission are an activity that requires a policy direction that is planned and integrated with the strategic environment of all related aspects. The strategic plan is then realized with the implementation of the government with regional autonomy which is the modern governance in realizing quality public services, fast, easy, fair and unlimited for the welfare and progress of the region. In this research will be used a strategic approach as input from the analysis with knowledge management and assessment of the condition of Aru district","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"13 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":"129190972","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}
Tanty Oktavia, F. Gaol, Takaaki Hosoda, Alessandro Bryan Wijaya, Fendy Tio, Liza Azzahra Malaysiani, Sandi Sanjaya, Y. R. Martin
{"title":"Analysis of Shoping Intention Using E-Commerce During Pandemic","authors":"Tanty Oktavia, F. Gaol, Takaaki Hosoda, Alessandro Bryan Wijaya, Fendy Tio, Liza Azzahra Malaysiani, Sandi Sanjaya, Y. R. Martin","doi":"10.1109/ICISS53185.2021.9533264","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533264","url":null,"abstract":"This study aims to investigate people’s shopping intentions using e-commerce during the pandemic in Indonesia. The method used in this research is the quantitative method in which the results of the study are used as an assumption and research discussion. Data collection was carried out by questionnaires then measure using t-test. The result can be concluded that the intention to shop using e-commerce during the COVID-19 pandemic is influenced using e-commerce features and e-commerce techniques. These results indicate that the intention to shop using e-commerce can increase if the availability of goods in e-commerce is quite complete, the quality of goods sold is very high, normal prices and technical requirement, such as speed, security, and a good e-commerce design system.","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":"115432205","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":"An Effective Wind Power Prediction using Latent Regression Models","authors":"Benamar Bouyeddou, F. Harrou, A. Saidi, Ying Sun","doi":"10.1109/ICISS53185.2021.9533242","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533242","url":null,"abstract":"Wind power is considered one of the most promising renewable energies. Efficient prediction of wind power will support in efficiently integrating wind power in the power grid. However, the major challenge in wind power is its high fluctuation and intermittent nature, making it challenging to predict. This paper investigated and compared the performance of two commonly latent variable regression methods, namely principal component regression (PCR) and partial least squares regression (PLSR), for predicting wind power. Actual measurements recorded every 10 minutes from an actual wind turbine are used to demonstrate the prediction precision of the investigated techniques. The result showed that the prediction performances of PCR and PLSR are relatively comparable. The investigated models in this study can represent a helpful tool for model-based anomaly detection in wind turbines.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"15 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":"115629401","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}
S. Suakanto, J. Siswanto, Tien Febrianti Kusumasari, Ilham Reza Prasetyo, Margareta Hardiyanti
{"title":"Interview Bot for Improving Human Resource Management","authors":"S. Suakanto, J. Siswanto, Tien Febrianti Kusumasari, Ilham Reza Prasetyo, Margareta Hardiyanti","doi":"10.1109/ICISS53185.2021.9533248","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533248","url":null,"abstract":"This study aims to explore the feasibility of implementing a chatbot for an interview process. The development of chatbots evolved rapidly to efficiently collect information in numerous fields, including customer service, health care, and etc. However, there was limited discussion of how chatbots are used to conduct an interview process autonomously. A human-driven interview also has some major limitations, e.g., it may only be conducted on a small-scale and is susceptible to bias. Hence, this study provides the design of a chatbot to conduct an interview, as well as processing the interview result by using Artificial Intelligence (AI) or machine learning. We have identified the difference between the typical chatbot communication method and the interview bot. This finding can be an opportunity to make a new interview bot or improve the implementation of a chatbot. In the end, we also discuss the challenges and benefits of the development of an interview bot.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"3 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":"114183231","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}
Hoedi Prasetyo, Yustina Tri Tularsih, Fenty Pandansari, S. Prasetya, Anggono Priyandono, Angga Satrya Dermawan
{"title":"Design of Power Monitoring System Based on Internet of Things (IoT) with Calibration Interface","authors":"Hoedi Prasetyo, Yustina Tri Tularsih, Fenty Pandansari, S. Prasetya, Anggono Priyandono, Angga Satrya Dermawan","doi":"10.1109/ICISS53185.2021.9533239","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533239","url":null,"abstract":"In a power monitoring system, accuracy is subject to change. Therefor, a calibration interface on the system’s dashboard is required. This research aims to propose a design of a power monitoring system with a calibration interface based on Internet of Things technology. For the hardware, this research proposes the use of CT sensors, Arduino, and Raspberry Pi. Node-RED is utilized to process the data and to create the dashboard. The proposed design consists of two dashboard pages. The first page is the monitoring page, which displays the measurement of voltage, current, frequency, true power, apparent power, and power factor. The second page is the setting page, which allows the user to calibrate the measurement by adjusting the parameter value on the dashboard. The proposed power monitoring system in this research offers simplicity to maintain the system’s accuracy.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"69 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":"125377570","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}
Michael Joseph, Jeconiah Richard, Calvin S. Halim, Rowin Faadhilah, N. N. Qomariyah
{"title":"Recreating Traditional Indonesian Batik with Neural Style Transfer in AI Artistry","authors":"Michael Joseph, Jeconiah Richard, Calvin S. Halim, Rowin Faadhilah, N. N. Qomariyah","doi":"10.1109/ICISS53185.2021.9533197","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533197","url":null,"abstract":"Style transfer is a method of combining two images into one, taking reference of one of the image’s styles and the other image’s content. Convolutional neural networks have been applied to this method to produce what is known as neural style transfer. Using VGG-Network, the artificial system was able to recreate artistic images by combining different content and style. However research regarding the effects of different models and optimization to the quality of the image produced are limited. The aim of this experiment is to compare between the VGG19 and VGG16. We use data and results from Leon A. Gatys to compare between two different models which are VGG19, and VGG16 in terms of content loss and style loss. This architecture is also applied to the more focal style of Batik in this to experiment the effects of a dominant color and pattern on another image. With Indonesia’s rich culture and its diverse art portfolio, it is only natural that this paper explore neural style transfer’s effects on the creative pattern forming of Batik.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"291 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":"123461173","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}