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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 International Journal of Engineering Continuity ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Pengabdian Masyarakat Charitas Cylinder : Jurnal Ilmiah Teknik Mesin
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 Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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KLASIFIKASI GENRE MUSIK DENGAN MENGGUNAKAN METODE MACHINE LEARNING Sereati, Catherine Olivia; Radix W. C, Hilarius; W Pandjaitan, Lanny; Kartwidjaja, Maria Angela
Jetri : Jurnal Ilmiah Teknik Elektro Vol. 21 No. 1 (2023): Jetri, Volume 21, Nomor 1, Agustus 2023
Publisher : Website

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jetri.v21i1.15339

Abstract

This research discusses how to classify music genres using machine learning.. Music of the same genre usually shares specific characteristics related to instrumentation, rhythmic structure, and musical pitch. Music genres can be done using the Machine Learning method. The Machine Learning algorithms used in this study are K-Nearest Neighbor, Random Forest, and Naïve Bayes. Furthermore, this study will compare the accuracy of the three methods. The primary data used in this study is the result of downloading from the internet. Machine learning programming is used through the Google Colab platform with the Python programming language. From the analysis and testing results, it was found that the Random Forest method has the highest level of accuracy
Pelatihan Dasar Elektronika Menggunakan Arduino dan Simulasi TinkerCad Untuk Guru SMP Kristen Harapan Bagi Bangsa Cilincing Mulyadi, Melisa; Indriati, Kumala; Wijayanti, Linda; Olivia Sereati, Catherine; Octaviani, Sandra
Jurnal Pengabdian Masyarakat Charitas Vol. 4 No. 01 (2024): Jurnal Pengabdian Masyarakat Charitas Juni 2024
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/charitas.v4i01.5441

Abstract

Community service activities organized by the Faculty of Engineering at Unika Atma Jaya with the theme of providing basic electronics skills to junior high schools (SMP) at SMP Kristen Harapan untuk Bangsa Cilincing, North Jakarta have been held 2 (two) times. This program received a positive response from teachers and students in grade 1 of junior high school. In previous activities, teachers had not been involved in the process, so that program continuity could not be implemented routinely in schools. Therefore, in this PKM activity, basic electronics training will be focused on teachers. The aim of this training is to provide training for teachers so that in the future SMP Kristen Harapan untuk Bangsa can organize extracurricular programs regarding the basics of electronics. In this training, teachers receive training using the TinkerCad simulation program, which is a simulation program for assembling electronic circuits. The teachers also had the opportunity to assemble a series of simulation results of running lights and microcontrollers on the project board. Based on the feedback, teachers from different educational backgrounds were able to assemble and run a series of simulation results. It is hoped that in the future teachers can provide this training to their students.
Pelatihan Elektronika Dasar untuk Guru dan Siswa Kelas VIII SMP di Cilincing Jakarta Utara Rippun G. Manalu, Ferry; Octaviani, Sandra; Octavianus Bachri, Karel; Surya Permana, Rizky; Olivia Sereati, Catherine
SABDAMAS Vol 2 No 1 (2023): SABDAMAS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Unika Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/sabdamas.v2i1.5011

Abstract

Pada Juni 2019, prodi Teknik Elektro Fakultas Teknik Unika Atma Jaya telah menyelenggarakan program pengabdian kepada masyarakat dengan tema memberi pembekalan tangan keterampilan dasar elektronika kepada SMP Kristen Harapan bagi Bangsa di Cilincing Jakarta Utara. Program ini mendapatkan tanggapan yang positif dari guru dan siswa. Berdasarkan hasil evaluasi kegiatan sebelumnya, seluruh siswa (100%) ingin kegiatan ini diadakan lagi dengan materi lanjutan. Pada kegiatan sebelumnya guru belum dilibatkan dalam proses, sehingga keberlanjutan program tidak dapat dilaksanakan secara rutin di sekolah. Oleh karena itu, pada program ini, selain melanjutkan pelatihan kepada siswa kelas VIII, guru juga dilibatkan dalam pembekalan untuk menyelenggarakan program ekstrakurikuler mengenai dasar elektronika selanjutnya. Pelatihan elektronika yang akan dilaksanakan pada pengabdian masyarakat ini difokuskan untuk siswa kelas VIII dan meliputi materi membuat PCB, pengenalan project board, pengenalan komponen elektronika dan fungsi-fungsinya. Pada tahapan ini peserta sudah mampu membuat rangkaian sederhana, membuat prototipe rangkaian elektronika menggunakan project board dan diimplementasikan dalam electronic kit. Kegiatan pengabdian ini diharapkan dapat melengkapi keterampilan siswa dan guru dalam bidang elektronika sehingga siap dalam menghadapi kemajuan teknologi, khususnya di bidang Teknik Elektro
Sistem Smart Monitoring pada Budidaya Tomat Cherry di Media Tanah Zefanya, Maria; Sereati, Catherine Olivia; Duma Kristina Yanti; Karel Octavianus; Lanny W
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 1 No. 2, Juli 2023
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (813.768 KB) | DOI: 10.25181/rt.v1i2.3128

Abstract

Living a healthy lifestyle is one of the important aspects for human well-being. One way to start a healthy lifestyle is by consuming fruits and vegetables. Cherry tomatoes have become a popular alternative for a healthy snack. The quality of healthy fruits is, of course, supported by healthy plant growth. Therefore, a smart monitoring system for cherry tomato plant growth was developed to assist cherry tomato farmers in monitoring the quality of plant growth. This system is designed using two systems: image processing using the Orange application to assess the fertility quality of plants, with data captured through a camera. The second system is an environmental monitoring system for plant growth, obtained through LDR, thermistor, and soil moisture sensors. The sensor data is processed using a Multiplexer and WeMos as the controller, and the results are displayed on the Thingspeak website. The designed system indicates the health quality experienced by the test plants, and users can view the sensor readings on the web to observe various environmental factors influencing the plants. Based on the results of several experiments, it is known that the system can function according to the initial goals, and environmental factors affect the quality of plant growth, although they may not be the primary factors.
Rancang Bangun Alat Kompres Demam Digital Suhu Hangat Bachri, Karel Octavianus; Kevin, Kevin; Sereati, Catherine Olivia
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 10 No 1 (2024): APRIL 2024
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v10i1.5479

Abstract

In this research, a digital fever compress device based on Arduino Uno was designed, utilizing warm temperature as a method for fever management. The device is equipped with a temperature sensor DHT, liquid crystal display (LCD), relay, and cartridge heater to create precise and controlled warm temperatures. The objective of this research is to design a digital fever compress device capable of generating warm temperatures ranging from 37.5°C to 42°C using Arduino Uno as the main microcontroller. The design process involved creating a model of temperature and tension equations, where the influential variables include ambient temperature, upper limit, and lower limit. Result shows the difference of the temperature values over time with the overall standard deviation of 1.4894, 1.6480, and 1.6217 and the overall standard deviation of the maxima and minima of 0.8085. The test results also indicated outcomes beyond the limits due to the large sampling time.
Perancangan Sistem Filtrasi Air Berbasis Virtual Programmable Logic Controller (PLC) dan Human-Machine Interface (HMI) Bachri, Karel Octavianus; Karangga, Yusaphat Phosa; Mahyastuty, Veronica Windha; Sereati, Catherine Olivia; Mulyadi, Melisa; Octaviani, Sandra
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 10 No 2 (2024): OKTOBER 2024
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v10i2.5607

Abstract

In the industrial environment, automation technology is becoming increasingly vital for boosting process efficiency and dependability. Water filtration is one of the most essential industrial uses. This study aims to evaluate the performance of PLC virtual control systems in regulating and managing water filtration processes, and HMI provides an intuitive graphical interface for operators to monitor and control processes. The simulation in this study employs the integrated Virtual PLC Codesys Virtual Win V3 and HMI Aveva Intouch software. Turbidity sensors are used to confirm the clarity of water after it has been filtered. The results of this study demonstrate that using the virtual control system, PLC and HMI, can facilitate the operation and monitoring of water filtration.
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.
Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation Abdurohman, Abdurohman; Siregar, Marsul; Olivia Sereati, Catherine; Windasari, Silviana; W. Pandjaitan, MM. Lanny
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.399

Abstract

Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge. However, conventional FIS lacks adaptability to environmental changes, limiting its long-term accuracy and responsiveness. Adaptive Neuro-Fuzzy Inference System (ANFIS) addresses this limitation by combining fuzzy logic with neural network learning, enabling automatic adjustment of model parameters based on data patterns. This study compares the performance of FIS and ANFIS in predicting optimal irrigation levels based on soil moisture, air temperature, relative humidity, and solar radiation. A synthetic dataset of 1,000 samples simulating realistic agricultural conditions was generated and normalized to improve computational consistency. The FIS model uses triangular membership functions and five expert-defined fuzzy rules, while ANFIS employs Gaussian membership functions with parameters optimized using the ADAM algorithm over 50 training epochs. Results show that ANFIS outperforms FIS, lowering RMSE from 0.13 to 0.07, halving MAE from 0.10 to 0.05, and increasing R² from 0.85 to 0.93, indicating a substantially better predictive performance. This study demonstrates that ANFIS is more adaptive, accurate, and computationally efficient, contributing to the advancement of intelligent and sustainable irrigation systems in precision agriculture.
Predicting transmission losses using EEMD – SVR algorithm Lestari, Hesti Tri; Sereati, Catherine Olivia; Siregar, Marsul; Bachri, Karel Octavianus
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2122-2129

Abstract

This work introduces a predictive model for evaluating transmission losses in the Java-Bali electrical system using ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) techniques. Transmission losses, a critical aspect of energy efficiency, are affected by several operational aspects, such as load flow, energy composition, peak load, and meteorological factors such as transmission line temperature. Transmission losses data were decomposed into many intrinsic mode functions (IMFs) by EEMD, effectively capturing both high-frequency (short-term) and low-frequency (long-term) trends. The SVR algorithm, utilizing a radial basis function (RBF) kernel, was subsequently employed to predict the deconstructed IMFs, facilitating accurate predictions of transmission losses. The proposed EEMD-SVR model achieved a mean absolute error (MAE) of 5.43%, with the highest error observed during the period of abrupt load shifts. These results confirm the model’s strength in identifying long-term transmission loss patterns, making it suitable for system planning and operational forecasting. While the model exhibited high prediction accuracy, especially in recognizing long-term trends, it faced limitations in accurately predicting abrupt changes in transmission losses. Therefore, future improvements should aim to enhance responsiveness to sudden changes in the system dynamics. The result suggests that the EEMD SVR model can proficiently assist power system operators in monitoring and mitigating transmission losses.
Co-Authors Abdurohman, Abdurohman Adang Suwandi Ahmad Arwin Datumaya Wahyudi Sumari Bachri, Karel Octavianus Christanto, Henoch Juli Duma Kristina Yanti Ferry Rippun Gideon Manalu Ferry Rippun Gideon Manalu 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 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 Silviana Windasari Siregar, Marsul Surya Permana, Rizky Tajuddin Nur Trio Adiono Veronica Windha Mahyastuty W Pandjaitan, Lanny W. Pandjaitan, MM. Lanny Wijayanti, Linda Zefanya, Maria Zenik, Andre