Proceeding of the Electrical Engineering Computer Science and Informatics
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Analysis on the Cogging Torque of Permanent Magnet Machine for Wind Power Applications
Get PDFThis paper discusses the new feature implemented in most social media messaging applications: the unsent feature, where the sender can delete the message he sent both in the sender and the recipient devices. This new feature poses a new challenge in mobile forensic, as it could potentially delete sent messages that can be used as evidence without the means to retrieve it. This paper aims to analyze how well Autopsy open-source mobile forensics tools in extracting and identifying the deleted messages, both that are sent or received. The device used in this paper is a Redmi Xiaomi Note 4, which has its userdata block extracted using linux command, and the application we’re using is WhatsApp. Autopsy will analyze the extracted image and see what information can be extracted from the unsent messages. From the result of our experiment, Autopsy is capable of obtaining substantial information, but due to how each vendor and mobile OS store files and databases differently, only WhatsApp data can be extracted from the device. And based on the WhatsApp data analysis, Autopsy is not capable of retrieving the deleted messages. However it can detect the traces of deleted data that is sent from the device. And using sqlite3 database browser, the author can find remnants of received deleted messages from the extracted files by Autopsy
A Wireless ECG Device with Mobile Applications for Android
Get PDFElectrocardiograph (ECG) is a measuring device that used in hospital to monitor electrical activity of heart. Commonly used ECG device is a Holter monitor, a portable and wired device, which is bulky and not suitable for measuring and recording athlete's heart activity during training. The objective of this study was to design the ECG monitoring system as an Internet of Things (IoT) device, equipped with a temperature detector to detect user's body temperature. The ECG signals and the temperature were transmitted wirelessly using Bluetooth transmission to the mobile applications (apps). Both signals were set to display on mobile apps which was developed using Blynk application. At the end of this project, the signals were shown on the mobile apps and the user could monitor their own ECG signals as well as to share with their caretaker or physician later
Framework Design for the Retrieval of Instant Messaging in Social Media as Electronic Evidence
Get PDFThe rapid growth of social media features not only brings many advantages but also causes problems. Mainly related to digital evidence when cybercrime occurs. One of the social media features that are currently popular is the unsend message feature in instant messaging applications such as Instagram, Whatsapp, Facebook Messenger, Skype, Viber, and Telegram. In the case of cybercrime, the perpetrator can delete the messages and erase digital evidence, making it difficult to trace. Those artifact messages might be useful for law enforcement or forensic investigators to be used as digital evidence in court. Therefore, an effective and efficient framework is needed in the mobile forensic investigation process to guarantee the integrity of the data obtained. This paper will discuss the review of several international standards on mobile forensics, namely NIST SP 800-101, ISO/ IEC, and SWGDE. This paper also proposes a framework design to retrieve unsend data artifacts on social media according to official and widely used international mobile forensic standards
KM Maturity for A Gas Company in Indonesia: G-KMMM Assessment and Improvement Recommendation
Get PDFKnowledge is an intellectual asset owned by each organization that greatly influences the performance of the organization. Knowledge management, tacit knowledge, and explicit knowledge in an organization become crucial for the organization's sustainability. The governance depends on many things such as organizational structure, human resources and culture, technology, and the company's vision and mission. In order to adjust between company objectives, it is necessary to know the KM maturity index in an organization. So based on the maturity index, the organization can prepare and adjust company conditions based on the target to be achieved. Knowledge Management (KM) has helped many companies or organizations in developing companies or their organizations, especially for the oil and gas industry. In this study, the authors used the G-KMMM method to conduct KM assessments and provide recommendations for increasing KM at an oil and gas company in Indonesia. From the KM assessment results using the G-KMMM method, it was found that KM in that company is at the awareness level. These results are obtained by considering aspects of people, processes, and technology
Designing Feature Application for User Experience to Censor Inappropriate Scene in Indonesia
Get PDFThe objective of this article is to build a better and more realistic user interface for Vlarm, an application we developed to censor inappropriate scenes during the COVID-19 pandemic. This premise was built by the fact that most children demand home entertainment, such as watching movies during the quarantine. Thus, this research introduces a new feature in our censorship software that enables parents to exchange their censorship findings so that other parents can use such findings without doing so to the same movie. On the other hand, the Indonesian Government imposes a large-scale social restriction (PSBB) due to the situation of COVID-19 in the country. This interaction is to provide information on the user's experience to eventually build more user-friendly interfaces and features that enable users to conveniently utilize Vlarm application
SCADA Solution by Installing DTM6000 and Trunking Tier Three
Get PDFThe aim of this study is to provide the new solution for the SCADA system by using the DTM6000 with Tier three and the multipoint node topology for the application offshore mining industry. The application of the proposed design can provide the data as wind speed, machine temperature, sonar, vessel position. Applying the SCADA Software, NMS (network management system), and DWS (Dispatch Work Station), data can be monitored through the control Center. The SCADA system with radiofrequency can cover a wide coverage area (ie up to 60 km). The trunking base station, carry out the data, and able to transmit voice communication with good quality. The technical design and the installation as well as the trial for validation of the proposed system in the remote area offshore of the mining industry is provided. It is might be stated that the system enables the development and addition of more other SCADA equipment in the futur
Optimal Sizing of Micro Hydropower to Improve Hybrid Renewable Power System
Get PDFThis paper presents an analysis of optimal micro hydropower (MH) capacity of hybrid systems to improve renewable energy based power systems. The electricity system was designed by considering river water flow data and solar radiation data at the research location, Andalas University. Optimal results obtained for the configuration of the Grid, MH, and PV with a head height of 30 m and a flow rate of 800 L/s with the lowest COE value of $ 0.065. As an optimal sizing system has been able to increase the composition of renewable energy generation in the Unand electrical network. The renewable energy fraction has increased from 26.4% to 36.5%. Therefore, determining the optimal capacity will increase the use of renewable energy generation. Conversely, an increase in electricity supply from renewable energy plants will reduce electricity consumption from the PLN grid. The latest excess power generation at a low load can be sold to the PLN gri
Performance Analysis Of Balinese Kulkul Beats Information System Based on Website and Android Using ISO 9126
Get PDFBali is known for its tourism and culture, the most viscous Balinese culture to date is consultation or cooperation. This can be seen from the many upakara (ceremonial) activities involving local communities, such as upakara dewa yadnya, manusia yadnya, and bhuta yadnya. In providing ceremonial information in an area in Bali, involving banjar or kulkul users. Kulkul in Bali is a traditional information medium that is still used to convey information about death, deliberation, and disaster in an area. However, people who live outside the village cannot hear information through the sound of kulkul. In this study, the Android-based Kulkul Beats Website and Information System was pre-built, but it is necessary to perform analysis of its performance testing. The system can provide information about the beat of the kulkul and is able to control the kulkul through the android app. It can also provide information about beats and will be displayed on the website, as well as controlling the kulkul through the android app. Android system testing using black box testing. From ISO 9126 test results, the functionality aspect gets a value of 1, where the function test has run 100% correctly. Test results of 100% reliability aspect test with success results. Usability test results showed 65.9% (good) results with Alpha Cronbach 0.969 (excellent). The efficiency aspect test results got a C with an average score of 77.2 and an average load time of 1.44 seconds
Email classification via intention-based segmentation
Get PDFEmail is the most popular way of personal and official communication among people and organizations. Due to untrusted virtual environment, email systems may face frequent attacks like malware, spamming, social engineering, etc. Spamming is the most common malicious activity, where unsolicited emails are sent in bulk, and these spam emails can be the source of malware, waste resources, hence degrade the productivity. In spam filter development, the most important challenge is to find the correlation between the nature of spam and the interest of the users because the interests of users are dynamic. This paper proposes a novel dynamic spam filter model that considers the changes in the interests of users with time while handling the spam activities. It uses intention-based segmentation to compare different segments of text documents instead of comparing them as a whole. The proposed spam filter is a multi-tier approach where initially, the email content is divided into segments with the help of part of speech (POS) tagging based on voices and tenses. Further, the segments are clustered using hierarchical clustering and compared using the vector space model. In the third stage, concept drift is detected in the clusters to identify the change in the interest of the user. Later, the classification of ham emails into various categories is done in the last stage. For experiments Enron dataset is used and the obtained results are promising
Improving the Anomaly Detection by Combining PSO Search Methods and J48 Algorithm
Get PDFThe feature selection techniques are used to find the most important and relevant features in a dataset. Therefore, in this study feature selection technique was used to improve the performance of Anomaly Detection. Many feature selection techniques have been developed and implemented on the NSL-KDD dataset. However, with the rapid growth of traffic on a network where more applications, devices, and protocols participate, the traffic data is complex and heterogeneous contribute to security issues. This makes the NSL-KDD dataset no longer reliable for it. The detection model must also be able to recognize the type of novel attack on complex network datasets. So, a robust analysis technique for a more complex and larger dataset is required, to overcome the increase of security issues in a big data network. This study proposes particle swarm optimization (PSO) Search methods as a feature selection method. As contribute to feature analysis knowledge, In the experiment a combination of particle swarm optimization (PSO) Search methods with other search methods are examined. To overcome the limitation NSL-KDD dataset, in the experiments the CICIDS2017 dataset used. To validate the selected features from the proposed technique J48 classification algorithm used in this study. The detection performance of the combination PSO Search method with J48 examined and compare with other feature selection and previous study. The proposed technique successfully finds the important features of the dataset, which improve detection performance with 99.89% accuracy. Compared with the previous study the proposed technique has better accuracy, TPR, and FPR