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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 Jurnal Sisfokom (Sistem Informasi dan Komputer) MITRA: Jurnal Pemberdayaan Masyarakat EPIC : Journal of Electrical Power, Instrumentation and Control Jurnal Mantik SABDAMAS Jurnal Locus Penelitian dan Pengabdian Jurnal Teknologi dan Manajemen Industri Terapan ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Pengabdian Masyarakat Charitas Metris: Jurnal Sains dan Teknologi Cylinder : Jurnal Ilmiah Teknik Mesin
Karel Octavianus Bachri
Program Studi Teknik Elektro, Fakultas Biosains, Teknologi Dan Inovasi, Universitas Katolik Indonesia Atma Jaya Jakarta
Aerospace Engineering Humanities Automotive Engineering 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences

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SPArc-subset general-purpose microprocessor design and implementation in field programmable gate array Bachri, Karel Octavianus; Alexander, Justin; Osmond, Edbert; Widawati, Enny; Kartawidjaja, Maria Angela
Jurnal Mantik Vol. 8 No. 3 (2024): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i3.5681

Abstract

This paper focuses on designing a 32-bit Reduced Instruction Set Computer (RISC) Scalable Processor Architecture (SPArc) subset gener al purposes processor. The design process covers instructions selection, Register Transfer Notation (RTN) design, Datapath Design, and Control Unit Design. Basic integer instruction was selected. Datapath was designed along with the RTN with a five-stage pipeline with direct connection between stages. This design was then validated using functionality simulation test and implemented in Field Programmable Gate Array (FPGA). The performance of the processor was measured using thermal report, power report, and time report. Functional test shows that the Processor can execute instructions as designed, which are Arithmetic/Shift/Logic, Control Transfers, and Memory access instructions. It was validated with the register content and signal generated in each stage. The design was also successfully implemented in FPGA with the maximum clock of 58 MHz as the synthesis report shows. Thermal report shows the thermal properties of the design, which shown the acceptable thermal margin of 56.9 ?C and junction temperature of 28.1 ?C. The power report shows the low power consumption of 0.266 W, which consists of dynamic power of 0.173 W and static power of 0.093 W. This work enables further development and to be used as master processor in System on Chip design of special purpose processors like cognitive processors
Predicting Stock Market Trends Based on Moving Average Using LSTM Algorithm Permana, Rizki Surya; Mahyastuty, Veronica Windha; Budiyanta, Nova Eka; Bachri, Karel Octavianus; Kartawidjaja, Maria Angela
CogITo Smart Journal Vol. 10 No. 2 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i2.648.486-495

Abstract

Prediction of the stock market is highly needed to assist traders in making decisions. Many methods are used by traders to predict this such as technical analysis and moving averages. Moving averages predict stock trends based on the past data of the stock. The disadvantage of using a moving average analysis is the delay in crossover signals. As a solution, a deep learning technique known as LSTM is applied to the moving average strategy in this paper. In this research, the BBCA stock dataset spanning from 2010 to 2018 was utilized. The data was segmented into two parts: 2010-2017 for training data and 2018 for testing data. The training process employed Long Short-Term Memory (LSTM) networks, with the subsequent results being combined with moving average crossover techniques. Validation results indicate that BBCA shows a relatively minimal error. BBCA's average MAPE is 1.1%, and its RMSE is 65.402, classifying it within the "Highly Accurate Forecasting" category. Various combinations of moving average crossovers were tested during model training, with the combination of SMA05 and SMA50 for BBCA yielding the highest profit potential. Stocks that exhibit a downward trend are more likely to incur substantial losses. The model can predict the reversal of trends by predicting the trading signal given by the moving averages.
Spooling Device Optimization with IP Camera and Active Infrared Sensor SIREGAR, MARSUL; PRAWIRA, WASKITO; BACHRI, KAREL OCTAVIANUS; HUTAPEA, DUMA KRISTINA YANTI; PANJAITAN, LANNY
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 3: Published July 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i3.625

Abstract

ABSTRAKDesain yang sangat padat pada lokasi gulungan kabel streamer pada kapal seismik dapat menimbulkan titik-lemah karena lokasinya di tengah geladak dan area kerja operator di geladak belakang. Hal ini meningkatkan risiko kerusakan peralatan dan risiko terhadap keselamatan operator. Operator harus berjalan bolak-balik atau menugaskan operator lain untuk memantau gulungan kabel streamer yang berarti diperlukan waktu tambahan selama pengoperasian. Kedua opsi tersebut berkontribusi terhadap paparan ekstra risiko keselamatan dan penggunaan operator yang tidak efisien. Pada penelitian ini IP camera digunakan untuk memonitoring gulungan kabel streamer dan active infrared sensor digunakan untuk mendeteksi titik lemah. Desain sistem yang diimplementasikan ini mengurangi titik lemah sehingga mengurangi risiko keselamatan, meningkatkan efisiensi waktu, dan mencegah kerusakan peralatan.Kata kunci: optimisasi, kapal seismik, kabel, perangkat penggulungan ABSTRACTThe compact design of streamer cable reel locations on seismic vessels creates blind-spots due to their location in the center of the deck and the operator’s work areas aft of the deck. This increases the risk of equipment damage and the risk to operator safety. The operator must walk back and forth or assign another operator to monitor the streamer cable reels which means additional time is required during operation. Both options contribute to the extra safety risk exposure and inefficient use of operators. In this research, IP camera is utilized for monitoring streamer cable reel and active infrared sensor to detect blind spots. The implemented system design reduces blind spots that decreasing safety risks, improves time efficiency, and prevents equipment damage.Keywords: optimization, seismic vessel, streamer cable, spooling device
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.
Analisis Penyebab Kecacatan Dengan Menggunakan Metode Seven Tools Pada Proses Perakitan Mesin Sepeda Motor Darmawan, Marten; Soewono, Arka Dwinanda; Wijaya, Nickolas Dario; Bachri, Karel Octavianus
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.v10i2.6001

Abstract

PT. SMT is a company that manufactures and distributes motorbikes. One of the main products assembled by PT. SMT is a 160 cc motorcycle engine. To improve the quality of the motorbike engine assembly process at PT. SMT, quality management based on the Seven Tools method has been performed. The check sheet analysis based on the production data from the January-July 2023 period shows that the most frequent quality issues in the engine assembly process are dirt on the cylinder inlet valve (64, 2%), followed by rust on the cylinder head (26.1%) and dirt on the gasket cover components for the cylinder head (9.8%). Root cause analysis using the Fishbone diagram finds that work environment factors including dirty workstations, equipment and components, as well as human factors are the main causes of product defects. From this analysis, the recommended improvements include implementing routine cleaning procedures for the work environment, equipment, and components, as well as providing additional training to improve operator competency and foster a better work culture.
PEMANTAUAN DAN PENGENDALIAN SUHU DAN KELEMBAPAN UDARA UNTUK TANAMAN TOMAT DENGAN MENGGUNAKAN WEMOS D1 Wijaya, Toby; Ghozali, Theresia; Bachri, Karel Octavianus
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 11 No 1 (2025): April 2025
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.v11i1.6190

Abstract

Plant cultivation process is an important component in creating optimal harvest results. Those results can be affected by both air temperature and humidity in the plant’s environment. Traditional method for monitoring and controlling temperature and humidity consume a lot of time and energy. This Wemos D1 and ThingSpeak equipped monitoring and controlling system was made in order to make those works easier. The system uses air temperature and humidity sensor which will perform reading to the environment’s condition. Datas collected from the reading progress will be forwarded by Wemos D1 to ThingSpeak so it can be observed by users. Exhaust fan and mist maker will be used as controlling components for the environment. This system is expected to help in developing plant cultivation techniques.
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.
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.
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 Agi Tama Alexander, Justin Alvinson, Gregorius Andre Sugioko Anthon de Fretes Anthony , Jean Arka Dwinanda Soewono Arwin Datumaya Wahyudi Sumari Bambang Anggoro Soedjarno Bambang Iwan Suryana Bryan Santoso Bunardi, Marcelinus Eric Catherine Olivia Sereati Christine Natalia Duma Kristina Yanti Duma Kristina Yanti Hutapea Enny Widawati Erik Agustian Yulanda Fernanto, Nico Ferry Rippun Gideon Manalu, Ferry Rippun Gideon FLORENTIA ANGELINA Fortino, Antonius Edwin Hadikusuma, Ridwan Satrio Herianto, David Hidayat, Renaldi Irpan Restu Ade Putra Joko Tri Susilo Jonathan, Edoardo Karangga, Yusaphat Phosa Kartadinata, Budi Kelvin, Dimas Kevin Kevin kevin Khayam, Umar Kusmanto, Willy Lanny W Lanny W. Pandjaitan Lestari, Hesti Tri Linda Wijayanti Lukas Maria Angela Kartawidjaja Marsellinus Bachtiar Wahju Marsul Siregar Marten Darmawan Melisa Mulyadi Micha Thesania Katarine Michael Deni Perdana Putera Muhamad Jaelani Sidik Muhammad Risqi Nuryana Nabil, Alfi Nova Eka Budiyanta Osmond, Edbert Pandjaitan, Lanny W. Pangestu, Devin PANJAITAN, LANNY Pardosi, Cristoni Hasiholan Pascalis Paschalis, Sebastian Michael Paskalis, Yohanes Maria Jonathan Glenn PRAWIRA, WASKITO Putera, Michael Deni Perdana PUTRA, SADIANA Rippun G. Manalu, Ferry Rizki Surya Permana Rory Anthony Hutagalung Sachi, Haenuki Sandra Octaviani B. Widiarto Satryanatha, Josaphat Febrian Setiawan, Axel Gilbert Soewono, Arka Soewono, Arka D. Surya Permana, Rizky Surya Widjaja, Williem Sutomo, Febryan Tajuddin Nur Theresia Ghozali Timothy Sutjipto, Marcellus Timothy Wijaya, Hans Tobias Mikha Sulistiyo Trifenaus Prabu Hidayat Veronica Windha Mahyastuty Widodo Basuki Widodo Widjaja Basuki Wijaya, Nickolas Dario Wijaya, Toby Wilson Yudha Harnoko Zefanya, Maria