Auzi Asfarian, Renardi Purnama Putra, Arga Putra Panatagama, Yani Nurhadryani, D. A. Ramadhan
{"title":"E-Initiative for Food Security: Design of Mobile Crowdfunding Platform to Reduce Food Insecurity in Indonesia","authors":"Auzi Asfarian, Renardi Purnama Putra, Arga Putra Panatagama, Yani Nurhadryani, D. A. Ramadhan","doi":"10.1109/ICoICT49345.2020.9166180","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166180","url":null,"abstract":"Indonesia is a country with the fourth-largest economy power in the world. However, Indonesia is threatened by a severe problem, namely food insecurity. The aim of this research is to produce a mobile design of the e-initiative mobile application as a crowdfunding platform that can help overcome food insecurity and realize food security in Indonesia. The mobile apps designed using The Wheel method which focuses on the user experience of the application. This method is in the form of a cycle phase that starts from the analysis phase of user needs with the interview, questionnaire distribution, and competitive analysis. The design phase is by persona, sketch, storyboard, and wireframes. Then the results of the design phase are implemented in the form of a medium-fidelity prototype. At the evaluation stage of prototype medium-fidelity, usability testing is using the think-aloud method, and the results of the performance task with a success rate of 85.32% are obtained.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129992511","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}
Pg. Hj. Asmali Pg. Badarudin, A. T. Wan, S. Phon-Amnuaisuk
{"title":"A Blockchain-based Assistance Digital Model for First Responders and Emergency Volunteers in Disaster Response and Recovery","authors":"Pg. Hj. Asmali Pg. Badarudin, A. T. Wan, S. Phon-Amnuaisuk","doi":"10.1109/ICoICT49345.2020.9166389","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166389","url":null,"abstract":"Disasters are getting more frequent and unpredictable due to climate change and other factors. The tasks of first responders and community volunteers are getting more challenging as the frequency and intensity of disasters increase. This study explores how blockchain technologies using Ethereum can assist in increasing speed and level of availability of needed materials and services that may be required during or in the aftermath of disasters for rescue and recovery. The federated blockchain model also provides financial transactions securely and transparently by incorporating a donation mechanism for fund payment, monetary compensation or incentivization through the use of tokens and other digital assets to the materials and service providers. Inter-government agencies and co-operation and collaboration during disaster response and recovery events can also be achieved by solving the financial budget issue.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981110","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":"Prediction of Sea Level by Using Autoregressive Integrated Moving Average (ARIMA): Case Study in Tanjung Intan Harbour Cilacap, Indonesia","authors":"Yehezkiel K. A. Purba, D. Saepudin, D. Adytia","doi":"10.1109/ICoICT49345.2020.9166310","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166310","url":null,"abstract":"Sea Level forecasting is vital for shores engineering applications such as for engineering construction plan in the shore or in offshore, and routing of ships at harbor. Researchers have been conducting many methods to predict sea levels, such as Artificial Neural Network, SARIMA, and ARIMA. In this paper, we will use a model of Autoregressive Integrated Moving Average (ARIMA) to predict sea level in Cilacap, Indonesia. The ARIMA parameters are obtained by conducting parameter tuning so that the model gives the lowest root mean square error value (RMSE) and the highest correlation coefficient.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482602","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":"Determination of Annual Employee Salary Increase and Best Employee Reward Using the Fuzzy-TOPSIS Method","authors":"F. Kafabih, U. Budiyanto","doi":"10.1109/ICoICT49345.2020.9166188","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166188","url":null,"abstract":"Human resources (HR) is one of the survival factors of a company, one of the aspects determining the success of a company's work is the management of HR. To improve HR performance by the needs or desires of the criteria set by the company, the company provides bonuses such as salary increases or rewards, but the company has difficulty making selections of the employee's value because of the diversity that there is still a subjective element in granting an increase in value. Besides that, the company has difficulty in determining the best employees by the wishes of the company due to the similarity in the value of employees who have the highest final value. Therefore we need a} {decision support system to determine the weight of the most important criteria desired by the company. This study discusses the decision support system regarding employee performance appraisal for annual salary increases and the best employees using the Fuzzy-TOPSIS method for processing data and ranking employee value data. The results of this study Employees 21 number has received the highest value of 0.656. and the UTAUT model or system test produces a T-Statistics value on Effort Expectancy (EE) of 1,316 (p-values 0.189).","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243909","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}
Sri Frenzilino Mahayyu Akbarisena, Ema Rachmawati, D. Q. Utama
{"title":"Leveraging Textural Features for Mammogram Classification","authors":"Sri Frenzilino Mahayyu Akbarisena, Ema Rachmawati, D. Q. Utama","doi":"10.1109/ICoICT49345.2020.9166311","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166311","url":null,"abstract":"Cancer is the body' s tissue cells that continue to grow beyond normal and out of control so that cancer cells push normal cells and cause death in normal cells. One type of cancer is cancer that attacks breast tissue or is called breast cancer. The sooner breast cancer is detected, it will increase the chance the patient will survive. One of the techniques in the early detection of breast cancer is mammography screening. To minimize human error in checking the results of mammography, a CAD system is needed in checking the results of mammography. Therefore, in this research, a system that can classify breast tissue from mammogram into three classes, namely normal, benign, and malignant has been built. The performance of the system reaches F1-Score 74.02%, Recall 76.15% and Precision 74.02%. The system achieves this performance by combining the Uniform Local Binary Pattern and GLCM features and the Random Forest classification method.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295203","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":"ICoICT 2020 Program","authors":"","doi":"10.1109/icoict49345.2020.9166320","DOIUrl":"https://doi.org/10.1109/icoict49345.2020.9166320","url":null,"abstract":"","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124936066","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":"Biometric Identification Based on EEG Signal with Photo Stimuli using Hjorth Descriptor","authors":"I. Wijayanto, S. Hadiyoso, Fauzia A. Sekarningrum","doi":"10.1109/ICoICT49345.2020.9166210","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166210","url":null,"abstract":"Biometric techniques are methods for recognizing a person based on physiological or behavioral characteristics. The advantage of biometric techniques is difficult to modify. Many recent studies have started to develop bio signal-based biometrics such as the biometric electroencephalogram (EEG). This study proposes a biometric identification system based on EEG signals with photo stimuli. The EEG data is collected from five participants with five recording sections by using the Muse Headband EEG Monitor. The EEG characterization of each individual is calculated using the Hjorth Descriptor method. Validation of the proposed system is done by using K-fold crossvalidation and Backpropagation neural network. A total of 25 validated data, consisting of 10 test data and 15 training data. The system achieves 100% accuracy.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127509338","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}
Agniya Noor Ilhamiati, D. S. Kusumo, Indra Lukmana Sardi
{"title":"Analysis of the Generator and Consistency of General Web Page Layout Structure Using Matching Algorithm Based on Set Difference","authors":"Agniya Noor Ilhamiati, D. S. Kusumo, Indra Lukmana Sardi","doi":"10.1109/ICoICT49345.2020.9166384","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166384","url":null,"abstract":"According to the website quality of the organization dimension and website usability, the consistency of the layout of the web page is how the general layout elements format is common to all pages. Consistency can make it easier for users in terms of navigation. In this study, researchers used a case study on the East Kalimantan High Prosecutors’ website (http://www.kejati-kaltim.go.id/). The inequality location of the layout makes inconsistency. In this research, web page layout structure data was collected using a Chrome Extension called HTML Tree Generator by adding additional functions according to semantic elements, so that automatically downloads HTML elements in the Document Object Model (DOM). Then, the general layout structure generator only took the semantic elements from the most common layout as its input. Matching Algorithm used to solve the problem of inconsistency in general layout structure, by looking for differences of structure using set difference. Combination functions are used to determine the comparison of each page. Set difference produce “false” if there are one or more differences. Research on the consistency of web page layout structure from case studies yields a consistency score of 92.1%. This score indicates an inconsistency in the web page layout. However, after fixed inconsistent pages, the recalculation score can produce a consistent web page layout.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125330419","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":"Simulation of transport problem with clustering velocity-density function","authors":"Ferdian Akbar Daniswara, P. H. Gunawan","doi":"10.1109/ICoICT49345.2020.9166178","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166178","url":null,"abstract":"This paper discusses the use of K-Means clustering method in finding an estimate of the velocity-density function in the traffic flow model. Two clusters will be obtained using KMeans clustering process, which are jammed and light cluster. These two clusters will have different velocity-density functions based on clustering result. Here, velocity-density function is obtained from linear regression of each data cluster. For measuring the velocity-density function, then this paper will provide the value of RMSE and R-Squared. The results show that RMSE is 2.3396 and R-squared is 0.3591 when no cluster is implemented in numerical simulation. Meanwhile, for the light cluster, the RMSE is found 1.1795 and R-squared 0.1388. Moreover, for the jammed cluster, RMSE is 0.8723 and R-squared is 0.1357. Finally, the process of identifying traffic conditions in the numerical simulation is done by computing Euclidean distance from centroid of clusters.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122208217","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. E. Minarno, F. D. S. Sumadi, Yuda Munarko, Wayan Yulyo Alviansyah, Yufis Azhar
{"title":"Image Retrieval using Multi Texton Co-occurrence Descriptor and Discrete Wavelet Transform","authors":"A. E. Minarno, F. D. S. Sumadi, Yuda Munarko, Wayan Yulyo Alviansyah, Yufis Azhar","doi":"10.1109/ICoICT49345.2020.9166361","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166361","url":null,"abstract":"This paper describes an efficient algorithm for Content-Based Image Retrieval (CBIR) based on Multi Texton Co-Occurrence Descriptor (MTCD) and Haar (Wavelet) namely MTCD-H. The problems from the previous research were the computational speed and the low value of precision. The data that was used consisted of 10000 Corel images and 300 batik images. MTCD used the RGB colour feature, the Sobel edge detection, and global feature using Gray Level Co-Occurrence Descriptor (GLCM). Wavelet was considered an approach that could increase the precision value as well as reduce the features. This paper combined the MTCD with Haar for the image extraction process in order to increase the computational speed and the precision value. The contribution of this paper was aiming for extracting the Wavelet feature on a grayscale image before extracting the feature using GLCM. The results showed an increase of precision value pointed at 3.36 for batik images and 5.11 for the Corel images. In addition, the computational speed for batik images was performed 84. 35s faster as for the Corel images 2988 faster. Based on the specified results, it could be concluded that the MTCD-H were effective in reducing the computational speed as well as increase the precision.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117328303","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}