Jurnal Teknologi dan Rekayasa Sistem Komputer (TEKNOKOM)
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PRE-INCUBATION FRAMEWORK OF SOFTWARE STARTUP USING GROW COACHING MODEL, BLOCK SCHEDULING AND DAILY SCRUM
Get PDFPre-incubation of software startup is a training and coaching activity to improve understanding of knowledge and skills in developing software. The problem that occurs between education in universities and business incubators is the gap, namely the lack of mastery of knowledge and skills in developing software. The solution to this problem is to develop a framework for pre-incubation activities. In this framework, the methodology is used as a combination of the GROW coaching model, block scheduling, and daily stand-up meeting (daily scrum). If before participating in the pre-incubation the tenant takes 4 months to 6 months to build a website application, then after participating in the pre-incubation the tenant can create a website application within 1 week to 4 weeks
VISITOR GUIDE APPLICATION AT MUSEUM WITH AUGMENTED REALITY ANDROID-BASED
Get PDFStudy this aim as a spatial introduction media on each the floor of the museum and the collections of the Regional Museum of Deli Serdang Pada Visitors Android based . Study this conducted at the Regional Museum of Deli Serdang, which is located at Jalan Negara, Petapahan Sports , Arts and Culture Area , Lubuk Pakam , Deli Serdang, North Sumatra 20517. In research this writer use Research and Development (R&D) methods . Study it also uses Rapid Application Development (RAD) as methodology development application . In conclusion this that the Visitor Guide Application (VGA) with technology Augemented Reality at the Regional Museum of Deli Serdang based on Android has built use Unity 3d apps , Blender and Vuforia with attractive appearance and user friendly. Augmented reality technology can used as tool guide because capable displays 3d object on each collection . The Visitor Guide Application (VGA) is also used as an introduction to spatial planning in each area the floor of the museum and collections in the Deli Serdang Regional Museum visitors Android based . Application this aim for make it easy visitors and the museum in the introduction process collections at the Regional Museum of Deli Serdang
THE COMPARATIVE STUDY ANALYSIS LOGICAL FILES RECOVERY AND LOW LEVEL FILES RECOVERY USING DIGITAL FORENSIC METHODS
Get PDFThe development of application and network technology is currently so rapid. This technology is widely used as a solution to overcome data inspection problems in the field of Digital Forensics. The importance of Digital Forensics as evidence, especially on computers and mobile devices, is increasing, along with the rapid use of these mobile devices in daily communication. Data and files on computers and smartphones can be deleted intentionally or unintentionally. To recover the data, it is necessary to have Files Recovery. Furthermore, Logical Files Recovery can be made through password encryption, obtained through hack/attack password applications such as Password or even hacked with the "RecoveryMyFile" application. In addition, a search with a file that has a password description can be done. One of the file recovery applications that can be used is the Agent ransack search application, which is more powerful and convenient than Windows Search, which is more complicated if you need to search faster, indexing needs to be done, and restarts. By using Files Recovery analysis, the development of file or data deletion crimes can be overcome with increasingly rapid and advanced information technology, in this case through applications that can be used for file recovery and to restore deleted files
MEMORY FORENSIC DEVELOPMENT AND CHALLENGES IN IDENTIFYING DIGITAL CRIME : A REVIEW
Get PDFDigital forensic technology is currently advancing along with the demands to uncover various crimes using technology. Memory Forensic is one of the investigative fields in digital forensics. We use the Systematic Literature Review method to identify the developments and challenges of Forensic Memory in identifying digital crimes, analyzed from various reference papers according to the Include and Exclude Criteria and based on the specified Research Question. Authors chose from 30 reference journals from 3 online journal databases namely IEEE Explore, Sciencedirect, and Springer with themes related to forensic memory based on certain criteria for further review to determine the development of digital crime. The results of the SLR that we convey are the result of a study related to the use of Memory Forensic in identifying various digital attacks and challenges faced in the future
APPLICATION OF CLASSIFICATION ALGORITHM FOR SALES PREDICTION
Get PDFIncreasing sales results is a desired target for all companies both at home and abroad. The company has a wide variety of products to offer. This paper (to fulfill a Business Intelligence course assignment) is the result of an experiment from data (keaggle) about consumer demand for products during the 2013-2015 period, then based on this data we try to predict to classify product sales, in order to make it easier for companies to classification for sales predictions. To find out the sales of the best-selling products, data mining classification techniques are used, namely XGBoost, Decision Tree, Random Forest, Linear Regression, and Nave Bayes. Based on the test results of the five classification techniques, the XGBoost model is the best with the data training value producing an RMSE value of 0.68% and data testing of 0.79%. This method is also better than the results of previous studies
DETEKSI OTOMATIS NOMINAL UANG KERTAS RUPIAH UNTUK TUNANETRA MENGGUNAKAN ALGORITMA ARSITEKTUR SSD MOBIILENETV3
Get PDFMoney is a legal tender in the buying and selling transactions of society. However, visually impaired people face visual limitations that affect their ability to recognize the value of Rupiah banknotes. Although Rupiah banknotes already have a blind code feature, this is often ineffective due to the condition of the banknotes. In this study, we use Artificial Intelligence technology, especially deep learning, to help visually impaired people recognize the value of Rupiah banknotes more easily. Our system is built using Convolutional Neural Network (CNN) technique with MobileNetV3 architecture and Single Shot Multibox Detector (SSD) algorithm. The results show that our system is able to operate well under various lighting conditions, including daytime and nighttime. Under sufficient lighting conditions, the system achieves an accuracy of between 80% to 95%. However, we acknowledge that in low-light or nighttime conditions, our system has problems detecting banknotes. Thus, this research contributes to the effort of improving the accessibility of visually impaired people in recognizing Rupiah banknotes, although we also recognize the need for more attention to address low lighting conditions in future development
A SYSTEMATIC REVIEW METHOD FOR SECURITY ANALYSIS OF INTERNET OF THINGS ON HONEYPOT DETECTION
Get PDFA very significant increase in the spread of malware has resulted in malware analysis. A recent approach to using the internet of things has been put forward by many researchers. Iot tool learning approaches as a more effective and efficient approach to dealing with malware compared to conventional approaches. At the same time, the researchers transformed the honeypot as a device capable of gathering malware information. The honeypot is designed as a malware trap and is stored on the provided system. Then log the managed events and gather information about the activity and identity of the attacker. This paper aims to use a honeypot in machine learning to deal with malware The Systematic Literature Review (SLR) method was used to identify 207 . Then 12 papers were selected to be investigated based on inclusion and exclusion criteria. The technique used by most researchers is to utilize the available honeypot dataset. Meanwhile, based on the type of malware being analyzed, honeypot in machine learning is mostly used to collect IoT-based malware
THE OPTIMIZE OF ASSOCIATION RULE METHOD FOR THE BEST BOOK PLACEMENT PATTERNS IN LIBRARY: A MONTHLY TRIAL
Get PDFData mining is the process of finding interesting patterns and knowledge from large amounts of data. Sources of information service, especially in the library, include books, reference books, serials, scientific gray literature (newsletters, reports, proceedings, dissertations, theses, and others). The importance of this research being carried out in the library in this study aims to implement data mining with the association rule method to solve problems, especially in the placement of shelves based on the category of the printed version of the book collection. This research method uses a qualitative research approach. Data was collected using documentation techniques and deep analysis of existing weaknesses to identify user needs whose information was obtained through observation and interviews with key informants (admin, user, etc.). For example, the determination of the best book placement patterns can be done by looking at the results of the tendency of visitors to borrow books based on a combination of 2 item sets with 60 percent of confidence value every month or week and must be evaluated or take a calculate again
A STUDY OF THE INFLUENCE OF 650 nm LASER INTERFERENCE ON VISIBLE LASER LIGHT COMMUNICATION SYSTEM
Get PDFVisible Laser Light Communication System (VLLC) is a wireless communication system, using laser as the medium. In the data transfer process, it is possible to have optical interference where 2 laser beams coincide with one point on the reflector. Research on the effect of laser source interference has been carried out by several researchers including mitigation actions to reduce its effects. This experiment uses 2 optical distance sensors that produce a laser with a wavelength of 650 nm with a power <=4.1 mW and with the direction of the laser beam both of them cross each other. To determine the effect of the interference of two laser beams when crossing the communication process in the visible light communication system, a reflector is used which can capture the two laser beams and the reflector can be shifted gradually so that a condition can be obtained where the two laser beams meet at one point. From the measurements made at the points after the laser beam crossing, the measurements at the point where the beam crossed, and the measurements at the points before the beam crossing, it was obtained data, at the exact point where the laser beam crossed the interference occurred, which is indicated by unstable output voltage of the two lasers, so that communication at the point of intersection is disrupted. However, if outside the point of contact both before and after the point of contact, interference and communication systems will not occur