Articles
<![CDATA[Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation ]]>
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Arwin Datumaya Wahyudi Sumari]]>;
<![CDATA[Trio Adiono]]>;
<![CDATA[Adang Suwandi Ahmad]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v18i3.14835
<![CDATA[The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm.]]>
<![CDATA[Architecture design for a multi-sensor information fusion processor ]]>
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Arwin Datumaya Wahyudi Sumari]]>;
<![CDATA[Trio Adiono]]>;
<![CDATA[Adang Suwandi Ahmad]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v17i1.10180
<![CDATA[This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation.]]>
<![CDATA[P-D controller computer vision and robotics integration based for student’s programming comprehension improvement ]]>
<![CDATA[Nova Eka Budiyanta]]>;
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Lukas Lukas]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v18i2.14881
<![CDATA[The 21st-century skills needed to face the speed of understanding technology. Such as critical thinking in computer vision and robotics literacy, any student is hampered by the programming that is considered complicated. This study aims at the improvement of student embedded system programming competency with computer vision and mobile robotics integration approach. This method is proposed to attract the students to learn about embedded system programming by delivering integration between computer vision and robotics using the P-D controller since both of the fields are closely related. In this paper, the researcher described computer vision programming to get the data of captured images through the camera stream and then delivered the data into an embedded system to make the decision of robot movement. The output of this study is the improvement of a student’s ability to make an application to integrate a sensor system using a camera and the mobile robot running follow the line. The result of the test shows that the integration method between computer vision and robotics can improve the student’s programming comprehension by 40%. Based on the Feasibility test survey, it can be interpreted that from the whole assessment after being converted to qualitative data, all aspects of the learning stages of programming application tested with the integration of computer vision and robotics fall into the very feasible category for used with a percentage of feasibility by 77.44%.]]>
<![CDATA[Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi ]]>
<![CDATA[Nova Eka Budiyanta]]>;
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Ferry Rippun Gideon Manalu]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/eei.v11i2.3483
<![CDATA[This study aims to increase the processing time of detecting non-rice objects based on the you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the Raspberry Pi 4 embedded system with the Movidius neural compute stick 2 (NCS 2) implementation approach. Data object in the form of gravel on a bunch of rice in the video. The video data was obtained using a webcam with a resolution of 1920 x 1080 pixels with a total of 2759 frames. From the test results, frames per second (FPS) have increased by 1.27x in the Movidius NCS 2 implementation compared to processing using the central processing unit (CPU) from the Raspberry Pi 4. The object detection processing on video data is complete at 1871.408 seconds with 1.474 FPS using the CPU from the Raspberry Pi 4 and finished at 1477.141 seconds with 1.868 FPS using Movidius NCS 2. From these differences, it can be seen that the application of Movidius NCS 2 succeeded in increasing the object detection processing in this study by 26.69% with the YOLOv3-tiny model approach on the Raspberry Pi 4 embedded system.]]>
<![CDATA[PENGENALAN DASAR INTERNET DAN MEDIA SOSIAL UNTUK MENDUKUNG PROSES BISNIS BUDIDAYA LELE DI DESA SAMPORA, CISAUK ]]>
<![CDATA[Marsul Siregar]]>;
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Tajuddin Nur]]>;
<![CDATA[Ferry Rippun Gideon Manalu]]>
<![CDATA[ SABDAMAS Vol 1 No 1 (2019): SABDAMAS ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Unika Atma Jaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (621.398 KB)
<![CDATA[Penggunaan internet di Indonesia sudah berkembang pesat. Sayangnya, tidak semua penduduk di Indonesia dapat menggunakan internet secara efektif, khususnya untuk mendukung perekonomian di daerahnya. Desa Sampora, Cisauk, mempunyai potensi budidaya lele yang bila dikembangkan dengan baik dapat mendukung perekonomian daerahnya. Oleh karena itu, penggunaan internet untuk mengembangkan bisnis budidaya lele perlu diperkenalkan di daerah tersebut. Pengenalan internet dasar, penggunaan media sosial, dan pencarian informasi di internet yang efektif dapat mendukung proses pengembangan bisnis budidaya lele di desa Sampora. Dengan demikian, warga Desa Sampora dapat mengembangkan bisnis dan memasarkan hasil budidaya ikan lele dengan lebih luas.]]>
<![CDATA[SURVEY METODE FUSI INFORMASI UNTUK PERANCANGAN COGNITIVE PROCESSOR ]]>
<![CDATA[Catherine Olivia Sereati]]>;
<![CDATA[Arwin Datumaya Wahyudi Sumari]]>
<![CDATA[ Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 1 No. 1 (2014) ]]>
Publisher : <![CDATA[Universitas Widyatama ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (443.578 KB)
|
DOI: 10.33197/jitter.vol1.iss1.2014.43
<![CDATA[Cognitive Processor is a processor which have ability to emulate how human brain work to process information by gathering information from the environment and take the inference from the information that have received. To design Cognitive processor, appropriate methode is need to support the performance of this processor. Knowledge Growing System (KGS) is a new development of Artificial Intelligence that have ability to growing knowledge base on information which have been gathered as time passes. KGS concept emerge by observing mechanism of human brain when doing information fusion to gain new knowldege. This paper aimed to discuss several fusion information method as a basis to design Cognitive Processor.]]>
<![CDATA[Penggunaan ETAP 12.6 Sebagai Alat Bantu Dalam Memilih Setting OCR Untuk Melindungi Kelangsungan dan Kestabilan Energi Listrik ]]>
<![CDATA[Hidayat, Renaldi]]>;
<![CDATA[Kartadinata, V. Budi]]>;
<![CDATA[Olivia Sereati, Catherine]]>;
<![CDATA[Octavianus Bachri, Karel]]>
<![CDATA[ Jurnal Elektro Vol 15 No 2 (2022): Vol.15 No.2 Oktober 2022: Jurnal Elektro ]]>
Publisher : <![CDATA[Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25170/jurnalelektro.v15i2.5112
<![CDATA[In this time electrical energy is one of the most energy used. In industry electrical energy becomes a necessity that cannot be separated from the production process. Due to the need for electrical energy sources, of course, a protection system is needed to maintain the continuity and stability of electrical energy from existing disturbances such as short circuit disturbances. To overcome the short circuit, OCR is used. To assist the process of calculating loadflow and short-circuit current, ETAP12.6 is used. The results of the analysis of the ETAP 12.6 will be compared with the data obtained in the field with the aim of analyzing whether the use of the ETAP 12.6 software in assisting calculations and analysis in the selection of OCR settings. The difference in ocr settings in the ETAP 12.6 and field data has a difference of less than 2%. This difference is relatively small and can still be used to help the process in selecting the OCR settings.]]>
<![CDATA[Analisis Audio Capture untuk Pengumpulan Data pada Smart Speaker ]]>
<![CDATA[Zenik, Andre]]>;
<![CDATA[Lukas, Lukas]]>;
<![CDATA[Olivia Sereati, Catherine]]>;
<![CDATA[Indriati, Kumala]]>;
<![CDATA[Wijayanti, Linda]]>
<![CDATA[ Jurnal Elektro Vol 16 No 1 (2023): Vol.16 No.1 April 2023: Jurnal Elektro ]]>
Publisher : <![CDATA[Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25170/jurnalelektro.v16i1.5128
<![CDATA[Internet of Things or IoT is a technology that is currently trending, because it can help human in their daily routine. One of the IoT product that used in homes is smart speaker. However, every latest technological innovation does not escape from vulnerabilities and one of them is the microphone on the smart speaker. Several studies and research have found that security vulnerabilities in smart speakers, such as dolphin attacks and audio capture. To find out how this audio capture technique works, an experiment was made to understand how it works and the impact of this technique. This experiment uses a smart speaker with voice assistant Alexa, using the Alexa Skills Kit services and Flask-Ask framework to create an audio capture program. The results of this program testing are expected to be used as a benchmark to prevent smart speakers from becoming the target of this technique anymore.]]>
<![CDATA[Designing a Website-Based Cooperative Application ]]>
<![CDATA[Paul Ferdinand, Jean]]>;
<![CDATA[Juli Christanto, Henoch]]>;
<![CDATA[Olivia Sereati, Catherine]]>
<![CDATA[ Jurnal Elektro Vol 16 No 2 (2023): Vol.16 No.2 Oktober 2023: Jurnal Elektro ]]>
Publisher : <![CDATA[Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25170/jurnalelektro.v16i2.5139
<![CDATA[The development of the times in the field of technology allows information to be obtained quickly and easily. We often encounter exchange of information in the world of work, one of the business entities that is very dependent on the exchange of information is cooperatives. In traditional cooperatives, the use of services requires users to come directly to the physical location of the cooperative. The process of recording user data and transaction history is also still done manually, namely by writing it on a book, so it takes a long time. The cooperative system created is a web-based application with the Laravel framework and cooperative data managed using MySQL. Designing a web-based application will provide easy access to cooperative services and decrease the time required for transaction processing for users and increase the efficiency of cooperative management for cooperative managers.]]>
<![CDATA[Perbandingan Algoritma Machine Learning menggunakan Orange Data Mining untuk Klasifikasi Jenis Kendaraan pada Sistem Tilang Digital ]]>
<![CDATA[Pranadjaya, Egipta]]>;
<![CDATA[Pangestu, Evan Sudira]]>;
<![CDATA[Sereati, Catherine Olivia]]>;
<![CDATA[Octaviani, Sandra]]>;
<![CDATA[Darmawan, Marten]]>
<![CDATA[ Jurnal Elektro Vol 17 No 1 (2024): Jurnal Elektro: April 2024 ]]>
Publisher : <![CDATA[Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.25170/jurnalelektro.v17i1.5429
<![CDATA[This paper discusses the application of the Orange Data Mining application to compare several machine learning algorithms for classifying vehicle types in digital ticket systems. This research compares and analyzes the logistic regression algorithm, Support Vector Machine (SVM) and Neural Network (NN) to solve vehicle classification problems in digital traffic tickets. The research results show that in the training process and based on the dataset used, the algorithms that have the highest level of accuracy are Logistic Regression, Neural Network and Support Vector Machine. Meanwhile, during the testing process, all algorithms in the model were able to carry out classification with 100% accuracy]]>
