ILKOM Jurnal Ilmiah (Fakultas Ilmu Komputer, Universitas Muslim Indonesia)
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AKADEMIK DATA MINING (ADM) K-MEANS DAN K-MEANS K-NN UNTUK MENGELOMPOKAN KELAS MATA KULIAH KOSENTRASI MAHASISWA SEMESTER AKHIR
Get PDFUniversity as an educational institution plays an important role in producing graduates. In addition, institutions such as universitas ichsan Gorontalo save the data set. These Data include about student academic data.In the academic field, every semester, increasing the amount of data recorded with data from academic activities. It is like there is a Tsunami of data which indicate that these data are very abundant but do not give any knowledge that is not beneficial to the university, especially the faculty except the knowledge administrative. Universitas ichsan Gorontalo with the number of students reached 9000 people which is accompanied by the number of graduates is still less than ideal any period graduate, it is necessary to apply the pattern determination grade concentration courses effective for the achievement ability of students, academic Data will be used namely the data of the students 2016-2017 who has taken class subjects concentration. The application of K-Means algorithm and K-Means KNN where K=2 result in a cluster for grouping of a Class Focus on the students semester end and each cluster has a predictive value for the second klustering such, the Value of the resulting Accuracy of Algorithms KNN, namely the AUC (Area Under The Curve) =1, the Value of CA=1, the value of F1=1, the value of the precision=1 and recall=1, and the value of accuracy as the best value
PENGEMBANGAN SISTEM MEMBACA AL-QUR’AN DENGAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE
Get PDFAl-Qur'an is the Holy Book which is the main and first source in Islamic teachings. It is important for us as Muslims to learn about how to read the Qur'an properly. This research uses two method approach namely Multimedia System Development method and learning method used is to use Tartil method. By using this two-method approach it is hoped that it will be more interesting for students to read and be able to accelerate how to read the Qur'an properly. The results of this research are in the form of an android-based application that can help to learn and read the Al-Qur’an properly. This application is tested using the Black Box method that shows all functions are running properly 100% according to what is expected.. The results show 85% progressed after using the application and only 15% did not progress
DATA VISUALISASI SEBAGAI PENDUKUNG INVESTIGASI MEDIA SOSIAL
Get PDFSocial media is an application that can make everyone interact with each other and can consume information by sharing content quickly, efficiently and real time. Various kinds of information about someone's activities that we can find on social media, making social media can help to conduct investigations. Some research, using visualization with several graph methods to facilitate the process of analyzing data on social media that is so abundant. But the data used only comes from one social media, while there is still a lot of information on other social media that can be used as data sources for analysis purposes. In this study visualization using the directed graph method will be carried out, then calculate the value of network property and the value of centrality to find out which nodes have many activities which will be carried out in depth searches to find patterns of interaction or activity. Based on the results of the calculated centrality, it is found that on Twitter and Instagram accounts there are many interactions, this can be seen in the value of the indegree and outdegree node. Based on the results of the analysis in this study, information that is important for investigating social media is obtained, such as information about user profiles, posts, comments, preferred social media pages, location, and timestamp, all of which are connected by a line that shows the relationship between the node
PENGGUNAAN METODE STATIS DAN LIVE FORENSIK PADA UAV UNTUK MENDAPATKAN BUKTI DIGITAL
Get PDFIn recent years, the use of drones by civilians is increasing rapidly by the presentation of total sales continued to increase rapidly every year. With the increasing possibility of Unmanned Aerial Vehicle (UAV) abuse, crime in the use of UAVs to be larger. Through forensic analysis of data using static forensic and live forensic to obtain data that allows it to be used as digital evidence. To dig up information that could be used as digital evidence in the UAV and controllers, as well as to know the characteristics of digital evidence on a UAV. The results showed that digital evidence on a UAV, the smartphone is used as a controller UAV has a very important role in the investigation. The findings in aircraft has a percentage of 50% and a camera memory card with 16.6%. DJI Phantom 3 Advanced GPS coordinates always store data in flight LOG; the data is always stored even when the flight mode is used does not use GPS signals to stability. Due to DJI Phantom 3 Advanced always use GPS on flights, file, image or video captured by the camera has the best GPS location coordinates to the metadata therein
ANALISIS PERBANDINGAN PELACAKAN OBJEK MENGGUNAKAN OPTICAL FLOW DAN BACKGROUND ESTIMATION PADA KAMERA BERGERAK
Get PDFObject tracking is one of computer vision. Can be developed into various based applications like human computers interface, video compression and security system. Object tracking is used to identified objects within background and identify the number of objects that a cross. Algorithm for this object tracking use optical flow method and background estimation. Testing is carried out using a moving camera placed in a car. It's using parameter values for each Algorithm. The test is used three videos from the Matlab. Simulink Profile Report that optical flow method had Recorded Total Time better than the background estimation with 100 seconds duration. The optical flow Testing method successfully identified the car object. And background testing didn't succeed in identified and to differentiate an object to it’s background. The object test recorded from the distance with a camera, to examined how many the background was and the speed of cars
RANCANG BANGUN SISTEM PENGEMBALIAN UANG KERTAS RUPIAH PADA MESIN VENDING BERBASIS ARDUINO UNO
Get PDFSome of the vending machines currently did not have refund systems. Purpose of this research is building a control system prototype to refund the banknote IDR money on the vending machines using Arduino Uno. The sensor was used to detect the nominal and authenticity of money is TCS3200. Authenticity and nominal of money are detected based on the money color that entered in the money reader system. The results of money detection from the TCS3200 sensor then process in the Arduino Uno. Nominal of money has detected in this research is IDR. 20,000, IDR. 10,000, IDR. 5,000, IDR. 2,000 and IDR 1,000. The output of this system is controlling the mechanical machine using DC motor to withdraw the banknote IDR money out from the machine. The system will automatically process if the consumer entered the nominal of money is greater than from goods price on the vending machine
ANALISIS PERFORMA METODE K-NEAREST NEIGHBOR UNTUK IDENTIFIKASI JENIS KACA
Get PDFNowadays, the industry makes various types of goods that have glass-based materials, float car window panes, non-float building windows, lamps, jars, and tableware. These glasses have the same production material, the difference between one and the other is the composition of the production material. K-Nearest Neighbor (KNN) algorithm which is one of the classification methods in data mining and also a supervised learning algorithm in machine learning is a method for classifying objects based on learning data that is the closest distance to the object.. This study discusses the performance measurement (accuracy, precision, recall and f-measure) of the KNN method with a variety of values on 1000 glass type production data objects obtained from the central UCI Machine Learning Repository dataset. The conclusion of this research is the results of the value of K = 3 to K = 9, the best performance values obtained at K = 3, where the level of accuracy reaches 64%, 63% precision, 71% recall, and F-Measure of 67%
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PROGRAM STUDI DENGAN METODE SAW DAN AHP
Get PDFAdmission to Multimedia Nusantara University (UMN) is divided into academic paths, scholarships and regular tests. The benchmarks used to accept prospective students through the academic track still see five academic grades with a minimum value of 70. There are cases where the minimum grade decreases depending on the KKM (Minimum Completeness Criteria) from the school of the prospective student. The process of changing majors at UMN can be done by going to the Student Support division and undergoing a series of tests depending on the chosen study program. The Student Support Faculty of Engineering and Informatics (FTI) does not have enough data to carry out specific tests. Based on these two problems, a decision support system ‘FTI Recommendation’ was built using the AHP and SAW methods. AHP method is the basis for evaluating prospective students, while the SAW method is for alternative ranking. and the expert reference value as a substitute for the old benchmark, which is 70 or in accordance with KKM from the prospective student's school. The decision support system built produces a satisfaction level of 77.22%
ANALISIS KINERJA SENSOR PADA ROBOT PENDETEKSI KOTORAN DEBU DAN AIR
Get PDFSensors are electronic components that have capabilities that are quite reliable and consist of many types, such as ultrasonic sensors, humidity sensors, and dust sensors. At present almost every electronic equipment is equipped with sensor components, such as the robot designed, equipped with humidity sensors and dust sensors. The purpose of this study is to determine the performance of the humidity sensor and dust sensor in detecting dirt and the sensor sends a signal to the microcontroller, Arduino Mega 2560. From the results of sensor performance research on Arduino-based floor dust and water dust detector robots the proximity sensor response time detects a barrier in a room worth 2 seconds, the dust sensor response time detects dust that is 2 minutes due to improper installation of dust sensors so that slow detecting dust. While the humidity sensor response time in detecting water is 3 seconds. For the performance of the robot on the humidity sensor clean the water on the floor as much as 1 ml for 10 to 17 seconds and to show the robot's performance on the humidity sensor to clean the water as much as 2 ml for 20 to 30 seconds
ANALISIS LAYANAN KEAMANAN SISTEM KARTU TRANSAKSI ELEKTRONIK MENGGUNAKAN METODE PENETRATION TESTING
Get PDFPayment transactions developed along with technological developments, now days technology supports digital payment, each type of digital transaction has its own security services, this study focus on the analysis of security services (confidentiality, integrity and availability) using the Penetration Testing method on magnetic stripe cards as a payment transaction playground facility, then comparing security services to the Radio Frequency Identification (RFID) electronic transaction tool. The results of this study are RFID electronic transaction cards that provide a more complete security service as an electronic payment transaction