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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL ELEKTRO ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika CogITo Smart Journal MITRA: Jurnal Pemberdayaan Masyarakat Jurnal Mantik Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi Cylinder : Jurnal Ilmiah Teknik Mesin
Bachri, Karel Octavianus
Universitas Katolik Indonesia Atma Jaya
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Journal : JURNAL ELEKTRO

 1 
SMART ROOM MONITORING MENGGUNAKAN MIT APP INVENTOR DENGAN KONEKSI BLUETOOTH Micha Thesania Katarine; Karel Octavianus Bachri
Jurnal Elektro Vol 13 No 1 (2020): Jurnal Elektro: April 2020
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v13i1.1824

Abstract

This study aims to design a smart room monitoring system (smart room) to determine the condition of the room in the house. This smart room system is based on Bluetooth and is assisted by the MIT App Inventor application which can do remote monitoring. This system is controlled by the Arduino Mega microcontroller which is connected to the sensor and Bluetooth. The sensors used are MQ2 to detect gas leaks, LM35 to detect room temperature, and PIR sensors to detect human presence. The MQ2 Sensor is placed near the LPG gas canisters, the PIR sensor is placed at entrance, while the LM35 sensor is placed at the center of the room, with neither direct blow from the Air Conditioner nor direct exposure to sunlight. Experiment shows that the sensor and the system work, and the application can also be connected to the system so that the sensors are monitored. In the MIT App Inventor application, the data received from Bluetooth is a PIR sensor that detects the presence of people in the room, the LM35 sensor can detect room temperature, and the MQ2 sensor can detect the presence of leaking gas.
Perbaikan Kurva Beban Harian pada Industri Kecil: Studi Kasus PT. X Soewono, Arka D.; Kelvin, Dimas; Bachri, Karel Octavianus
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.v17i1.5404

Abstract

This paper presents the improvement of daily load and load balance curve of home-scale garment industry with the study case in PT. X. Research is started with load measurement on every machine, proceeded by plotting schedule of each machine. The next step is rescheduling daily load and per-phase load balancing. Initial data shows unbalance load sharing between phase with the average load of 4916 kW and standard deviation of 2077. After being rescheduled and phase rearrangement, the interphase load sharing is more balance, with the average load of 4903 kW and standard deviation of 952.
Comparison of Actual Results and PVSyst Simulation in the Design of Off-Grid Solar Power Generation System (PLTS) in Karuni Village, Southwest Sumba Siregar, Marsul; Pardosi, Cristoni Hasiholan; Bachri, Karel Octavianus; Nur, Tajuddin; Pandjaitan, Lanny W.
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.v17i1.5419

Abstract

This research aims to compare the actual production with the simulations using the PVSyst software for the Off-Grid Solar Power Plant (PLTS) in Karuni Village, Southwest Sumba. The Off-Grid PLTS in Karuni Village is a vital solution for improving remote areas' electricity access. Actual energy production data from the PLTS were obtained from monitoring systems, while simulation results were obtained through PVSyst. The analysis results indicate a difference of approximately 10% between the actual and simulated results. It observed that it is influenced by variability in local weather conditions, maintenance, system management levels, and limitations of the simulation model. The implications of this research emphasize the importance of using accurate data in simulations, improving PLTS system maintenance, and developing more sophisticated simulation models. Recommendations for further research include further analysis of factors influencing the differences in results. This study provides valuable insights into the planning and management of Off-Grid PLTS. It offers perspectives on enhancing the accuracy of future PLTS system planning and management.
Analisis Performansi Jaringan Saraf Dalam terhadap Dataset Digit Berderau Bachri, Karel Octavianus
Jurnal Elektro Vol 18 No 1 (2025): Jurnal Elektro: April 2025
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v18i1.6613

Abstract

This work investigates the impact of noise on model performance by training a neural network on a digit dataset with varying Signal-to-Noise Ratios (SNR) to assess its resilience and generalization ability. The experimental setup involved training the model on datasets with noise levels ranging from clean images to highly distorted ones (SNR 5%–25%), analyzing accuracy, mini-batch loss, and training time. Results indicate that while the model achieves high accuracy (96.88%) at mild noise levels (SNR 5%), performance declines significantly at higher noise levels, with accuracy dropping to 78.91% at SNR 25%. The analysis of mini-batch loss and training time reveals that noise slows convergence and increases computational complexity. The confusion matrix further confirms that while the model effectively distinguishes between classes, noise-induced misclassifications become more frequent at lower SNRs. These findings emphasize the importance of noise reduction techniques and data preprocessing to improve model robustness in real-world applications.
Implementasi dan Analisis Alat Kompres Demam Suhu Hangat dengan Sensor DS18B20 dan Pengendali Arduino Uno Bachri, Karel Octavianus; Soewono, Arka; Kevin
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.v17i2.5626

Abstract

Fever is a condition where the body temperature rises above normal levels, often caused by an infection. Non-medical management of fever can be done by using cold or warm compresses. Warm compresses are more effective but require a complex and repetitive process. This study is the design of a Digital Fever Compress Device using warm temperature based on Arduino Uno. The Digital Fever Compress Device is designed for non-medical fever management. The Digital Fever Compress Device is equipped with a DS18B20 sensor, Liquid Crystal Display (LCD), Relay, cartridge heater as a heating element, three pushbuttons, XL4005 stepdown module, and one On-Off switch. The Digital Fever Compress Device can produce warm temperatures and adjust them according to the user's preferences with a minimum limit of 37.5°C and a maximum of 42°C with a timer for 20 minutes. Environmental temperature affects the temperature setting processing carried out by the microcontroller. Based on the tests conducted in an air-conditioned room, the average time from the initial temperature to the setpoint is 6 minutes and 15 seconds, and the temperature increase from the setpoint ranges from 45.6°C or 15.079%. Meanwhile, testing in a non-air-conditioned room, the average time from the initial temperature to the setpoint is 2 minutes and 26 seconds, and the temperature increase from the setpoint ranges from 44.64°C or 12.37%.
Frequency Extraction of Phonocardiogram Signal using Fourier Transform Bachri, Karel Octavianus
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.v17i2.6195

Abstract

This article presents Fourier Transform application to extract features of Phonocardiogram Signals into its frequency components. Data was taken from Physionet Dataset of Phonocardiogram which comprises of normal and abnormal heart condition. Raw data was preprocessed using time clipping of 2 seconds at certain area that contains less noise. A lowpass filter was applied to denoise the raw signals. Experiments show the PCG of normal hearts has a dominant frequency of 50Hz to 150Hz, with the subdominant frequencies of 450 Hz to 650 Hz. The subdominant frequency of the normal hearts sometimes show anomaly with more amplitude compared to the dominant frequency.
Co-Authors Adang Suwandi Ahmad Agi Tama Alexander, Justin Alvinson, Gregorius Anthon de Fretes, Anthon de Fretes Anthony , Jean Arwin Datumaya Wahyudi Sumari Bachtiar, Marsellinus Bambang Anggoro Soedjarno Bambang Iwan Suryana Bunardi, Marcelinus Eric Catherine Olivia Sereati Christine Natalia Duma Kristina Yanti Enny Widawati Erik Agustian Yulanda Fernanto, Nico Fortino, Antonius Edwin Hadikusuma, Ridwan Satrio Herianto, David Joko Tri Susilo Jonathan, Edoardo Karangga, Yusaphat Phosa Kartadinata, Budi Kelvin, Dimas Kevin Kevin kevin Khayam, Umar Kusmanto, Willy Lestari, Hesti Tri Lukas Maria Angela Kartawidjaja Marsellinus Bachtiar Wahju Marten Darmawan Melisa Mulyadi Micha Thesania Katarine Michael Deni Perdana Putera Nabil, Alfi Nova Eka Budiyanta Nur, Tajuddin Nuryana, Muhammad Risqi Osmond, Edbert Pandjaitan, Lanny W. PANJAITAN, LANNY Pardosi, Cristoni Hasiholan Paschalis, Sebastian Michael Paskalis, Yohanes Maria Jonathan Glenn PRAWIRA, WASKITO Putera, Michael Deni Perdana PUTRA, SADIANA Rizki Surya Permana Rory Anthony Hutagalung Sachi, Haenuki Sandra Octaviani Sandra Octaviani Satryanatha, Josaphat Febrian Setiawan, Axel Gilbert Siregar, Marsul Soewono, Arka Soewono, Arka D. Soewono, Arka Dwinanda Sutomo, Febryan Tajuddin Nur Theresia Ghozali Trifenaus Prabu Hidayat Veronica Windha Mahyastuty Wahju, Marsellinus Bachtiar Widodo Basuki Wijaya, Nickolas Dario Wijaya, Toby Wijayanti, Linda Wilson