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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL ELEKTRO JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) SABDAMAS Jurnal Ilmiah Teknik Elektro ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Pengabdian Masyarakat Charitas Cylinder : Jurnal Ilmiah Teknik Mesin Jurnal Serina Abdimas
Catherine Olivia Sereati
Fakultas Teknik Unika Atma Jaya Jakarta
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Journal : JURNAL ELEKTRO

 1 
Penggunaan ETAP 12.6 Sebagai Alat Bantu Dalam Memilih Setting OCR Untuk Melindungi Kelangsungan dan Kestabilan Energi Listrik Hidayat, Renaldi; Kartadinata, V. Budi; Olivia Sereati, Catherine; Octavianus Bachri, Karel
Jurnal Elektro Vol 15 No 2 (2022): Vol.15 No.2 Oktober 2022: Jurnal Elektro
Publisher : 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

Abstract

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.
Analisis Audio Capture untuk Pengumpulan Data pada Smart Speaker Zenik, Andre; Lukas, Lukas; Olivia Sereati, Catherine; Indriati, Kumala; Wijayanti, Linda
Jurnal Elektro Vol 16 No 1 (2023): Vol.16 No.1 April 2023: Jurnal Elektro
Publisher : 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

Abstract

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.
Designing a Website-Based Cooperative Application Paul Ferdinand, Jean; Juli Christanto, Henoch; Olivia Sereati, Catherine
Jurnal Elektro Vol 16 No 2 (2023): Vol.16 No.2 Oktober 2023: Jurnal Elektro
Publisher : 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

Abstract

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.
Perbandingan Algoritma Machine Learning menggunakan Orange Data Mining untuk Klasifikasi Jenis Kendaraan pada Sistem Tilang Digital Pranadjaya, Egipta; Pangestu, Evan Sudira; Octaviani, Sandra; Darmawan, Marten; Sereati, Catherine Olivia
Jurnal Elektro Vol 17 No 1 (2024): Jurnal Elektro: April 2024
Publisher : 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

Abstract

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
Perancangan Aplikasi Koperasi Berbasis Android Jones, Danzel Maxdriel Samuel; Sereati, Catherine Olivia; Christanto, Henoch Juli; Wijayanti, Linda; Mulyadi, Melisa
Jurnal Elektro Vol 17 No 2 (2024): Jurnal Elektro: Oktober 2024
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v17i2.5453

Abstract

The development of information technology cannot be separated from the use of mobile applications, which are increasingly varied. Mobile applications allow users to easily connect to internet services anywhere. Cooperatives are joint business entities that generally still use the manual method for recording members, transactions and so on, which can lead to human errors and time inefficiencies. The existence of a website-based cooperative mobile application that is implemented on smartphones using the Xamarin.Forms framework can reduce these problems. Smartphones will make online cooperatives more effective because they are portable, easy to use and more affordable.
Co-Authors Adang Suwandi Ahmad Arwin Datumaya Wahyudi Sumari Bachri, Karel Octavianus Basuki, Widodo Widjaja Christanto, Henoch Juli Duma Kristina Yanti Ferry Rippun Gideon Manalu Ferry Rippun Gideon Manalu Gideon Manalu, Ferry Rippun Hidayat, Renaldi Indriati, Kumala Jones, Danzel Maxdriel Samuel Juli Christanto, Henoch Karangga, Yusaphat Phosa Karel Octavianus Kartadinata, Budi Kartwidjaja, Maria Angela Kevin kevin Lanny W Lestari, Hesti Tri Lukas Lukas Lukas, Lukas Maria Angela Kartawidjaja Marten Darmawan Melisa Mulyadi Nova Eka Budiyanta Octavianus Bachri, Karel Pangestu, Evan Sudira Paul Ferdinand, Jean Pranadjaya, Egipta Radix W. C, Hilarius Rippun G. Manalu, Ferry Sandra Octaviani Siregar, Marsul Surya Permana, Rizky Tajuddin Nur Theresia Ghozali Trio Adiono Veronica Windha Mahyastuty W Pandjaitan, Lanny Wijayanti, Linda Zefanya, Maria Zenik, Andre