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Cognitive artificial-intelligence for doernenburg dissolved gas analysis interpretation Karel Octavianus Bachri; Umar Khayam; Bambang Anggoro Soedjarno; Arwin Datumaya Wahyudi Sumari; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11612

Abstract

This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DGA) interpretation adopting Doernenburg Ratio method. CAI works based on Knowledge Growing System (KGS) principle and is capable of growing its own knowledge. Data are collected from sensors, but they are not the information itself, and thus, data needs to be processed to extract information. Multiple information are then fused in order to obtain new information with Degree of Certainty (DoC). The new information is used to identify faults occurred at a single observation. The proposed method is tested using the previously published dataset and compared with Fuzzy Inference System (FIS) and Artificial Neural Network (ANN). Experiment shows CAI implementation on Doernenburg Ratio performs 115 out of 117 accurate identification, followed by Fuzzy Inference System 94.02% and ANN 78.6%. CAI works well even with small amount of data and does not require trainings.
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.
Analysis on the Cogging Torque of Permanent Magnet Machine for Wind Power Applications Tajuddin Nur; Linda Wijayanti; Anthon de Fretes; Karel Octavianus Bachri
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2082

Abstract

This paper discusses the new feature implemented in most social media messaging applications: the unsent feature, where the sender can delete the message he sent both in the sender and the recipient devices. This new feature poses a new challenge in mobile forensic, as it could potentially delete sent messages that can be used as evidence without the means to retrieve it. This paper aims to analyze how well Autopsy open-source mobile forensics tools in extracting and identifying the deleted messages, both that are sent or received. The device used in this paper is a Redmi Xiaomi Note 4, which has its userdata block extracted using linux command, and the application we’re using is WhatsApp. Autopsy will analyze the extracted image and see what information can be extracted from the unsent messages. From the result of our experiment, Autopsy is capable of obtaining substantial information, but due to how each vendor and mobile OS store files and databases differently, only WhatsApp data can be extracted from the device. And based on the WhatsApp data analysis, Autopsy is not capable of retrieving the deleted messages. However it can detect the traces of deleted data that is sent from the device. And using sqlite3 database browser, the author can find remnants of received deleted messages from the extracted files by Autopsy.
Design and Implementation of Piping Installation for Catfish Farming in Sampora Village Karel Octavianus Bachri; Sandra Octaviani; Marsul Siregar; Widodo Basuki; Tajuddin Nur; Christine Natalia
MITRA: Jurnal Pemberdayaan Masyarakat Vol 4 No 1 (2020): MITRA: Jurnal Pemberdayaan Masyarakat
Publisher : Institute for Research and Community Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/mitra.v4i1.1061

Abstract

Atma Jaya Catholic University of Indonesia has Faculty of Engineering, which is committed to empower its surrounding communities. This empowerment is implemented based on its core values. The present community empowerment activities have been planned through a series of agreements and the main goal of the activities is to develop the entrepreneurship based on the strength of the area. This paper discusses the assistance given by Faculty of Engineering in designing piping installation for supporting aquaponic activities in Desa Sampora. The project was divided into three steps. First, this project focused on observation and data collecting. This first step also involved discussion with experts. Second, it focused on the design process. The result of the first step was used in the design. Third, the design was implemented and installed in the location. All the steps required careful planning to minimize errors. The expected target of these activities was an aquaponic piping design that is feasible to implement to support sustainable and productive entrepreneurship. The final result was piping installation that can grow 120 plants, is easy to clean up, and has area efficiency.
Perbaikan Kondisi Keseimbangan Lintasan Produksi Dengan Penerapan Metode Genetic Algorithm Pada Lintasan Produksi Muffler K-59J PT XYZ Febryan Sutomo; Trifenaus Prabu Hidayat; Karel Octavianus Bachri
Jurnal METRIS Vol. 23 No. 01 (2022): 2022
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v23i01.2961

Abstract

PT. XYZ merupakan sebuah perusahaan manufaktur yang bergerak dibidang otomotif dan sudah berjalan sebagai supplier komponen otomotif untuk beberapa perusahaan otomotif terkemuka di Indonesia. Kebanyakan proses produksi pada PT. XYZ sudah berjalan dengan baik. Tetapi terdapat salah satu sub produk mereka yang memiliki kendala dalam proses produksinya yaitu muffler K-59J. Pada lintasan produksi muffler K-59J dinilai kurang optimal dalam proses produksinya. Hal tersebut dilihat dari banyak kendala yang timbul selama proses produksi berlangsung. Mulai dari terjadi penumpukan (bottleneck), Target produksi harian sering tidak tercapai sehingga sering terjadi waktu kerja tambahan (overtime), dan jika dilihat secara data nilai efisiensinya hanya sebesar 58,81 %. Dengan demikian, penelitian ini bertujuan untuk meningkatkan performa dari lintasan produksi tersebut. Oleh karena itu diusulkan metode Algoritma Genetik yang bersifat komputerisasi untuk meningkatkan performanya. Proses penyelesaian penelitian ini dilakukan dengan bantuan program matlab dalam pengerjaan metode Algoritma Genetik. Pada prosesnya, dilakukan beberapa tahapan mulai dari membuat representasi genetik, menyeleksi populasi induk, melakukan rekombinasi dan mutasi, dan regenerasi populasi. Tetapi terdapat sedikit perbedaan pada penlitian ini dimana populasi awal yang dibentuk merupakan populasi yang sudah tersaring kedalam syarat-syarat keseimbangan lintasan antara lain sesuai dengan diagram alurnya, dan jumlah waktu stasiun kerja tidak melebihi cycle time. Dari hasil pengerjaan metode Algoritma Genetik tersebut, didapatkan besar efisiensi lintasan sebesar 74,07 % dengan total stasiun kerja sebanyak 18 stasiun kerja. dengan demikian nilai efisiensi lintasan berhasil ditingkatkan sebesar 15,26 %.
Simulasi Pengendalian Kecepatan Putar Motor DC Menggunakan Metode Logika Fuzzy Duma Kristina Yanti Hutapea; Karel Octavianus Bachri; Haenuki Sachi; Willy Kusmanto; David Herianto; Nico Fernanto
Jurnal METRIS Vol. 24 No. 02 (2023): 2023
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v24i02.4725

Abstract

This paper discusses DC motor rotational speed control using fuzzy logic method. The system works by utilizing ultrasonic sensors to detect distance. The detected distance affects the rotational speed of the DC motor which is controlled by the Arduino UNO microcontroller. Fuzzy logic is applied to the Arduino UNO microcontroller in which distance as the input, and the rotational speed of the DC motor in the form of Pulse Width Modulation as the output. There are several classifications of distance: very close, close, normal, far and very far. In addition, there are several classifications in the motor rotational speed response: slow, very slow, medium, fast, and very fast. The design of the fuzzy logic system is carried out in the Arduino IDE application and MATLAB using the Mamdani method at the inference stage. Fuzzy logic system is run on the Arduino UNO microcontroller in which the simulation is carried outthrough Proteus application. The test results show that the largest percentage of errors/discrepancies between the Proteus system design and the MATLAB is 1.55%. In the future, this simulation can be applied to systems such as selfdriving cars.
Analisis Kekuatan Purwarupa Swing Arm Untuk Sepeda Motor Listrik: Studi Kasus Pada PT “SC” Karel Octavianus Bachri; Arka Dwinanda Soewono; Alfi Nabil
Cylinder : Jurnal Ilmiah Teknik Mesin Vol. 9 No. 2 (2023): OKTOBER 2023
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.v9i2.4982

Abstract

In recent years, the automotive industry has been experiencing a significant transition from internal combustion engines that use fossil fuels to electric vehicles. PT “SC” is one of the leading companies engaged in converting and developing electric vehicles in Indonesia. This research aims to conduct a strength analysis of the swing arm prototype developed by PT “SC”. Simulations were performed using SolidWorks software to determine the impact of static loading on the von Mises stress and strain experienced by the swing arm made from SS 400 material. The total load on the swing arm was 1610N based on the electric dynamo's weight and the possible passengers' weight on the electric motorbike. The stress analysis results show that the maximum and minimum Mises stresses ​​are 5.38 x 106 N/m2 and 1.99 x 10-1 N/m2, respectively. This stress produces a maximum displacement value of 4.54 x 10-3 mm. Calculation results from Solidworks found that the safety factor for the swing arm prototype was 43, meaning the design is safe to use.
Design and Implementation of Two-Axis Solar Tracker Karel Octavianus Bachri; Wilson; Melisa Mulyadi; Linda Wijayanti; Duma Kristina Yanti Hutapea; Marsul Siregar
Cylinder : Jurnal Ilmiah Teknik Mesin Vol. 9 No. 2 (2023): OKTOBER 2023
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.v9i2.4983

Abstract

Makalah ini membahas perancangan dan implementasi sistem penggerak panel surya 2 sumbu dengan menggunakan motor servo yang dikendalikan oleh mikrokontroler arduino uno, sistem ini bekerja berdasarkan masukan sensor LDR sebanyak empat buah yang dipasang pada masing-masing sisi panel surya dan satu buah yang dipasang di tengah modul solar panel tersebut.Sensor LDR pun dihubungkan pada mikrokontroller yang akan mengolah masukkan yang diberikan menjadi keluaran tegangan kepada motor servo.Motor servo yang dipakai diperancangan alat ini sebanyak dua buah yang akan meggerakkan panel surya menuju arah vertical dan horizontal. Pengujian dilakukan dengan beberapa tahap seperti pengujian hasil yang didapatkan oleh panel surya dengan berbagai kondisi,pengujian sensor cahaya dan pengujian keseluruhan.Sehingga mendapatkan hasil yang cukup baik dan memuaskan,kedua motor servo dapat bergerak menerima hasil keluaran yang diberikan oleh mikrokontroller dan kelima sensor LDR dapat menerima cahaya matahari dan mendeteksi arah cahaya matahari secara cukup baik sehingga perancangan alat mendapatkan hasil keseluruhan secara cukup baik. Hasil keseluruhan daya yang didapat secara maksimal oleh panel surya sebanyak 12V yang akan bergerak mengikuti arah cahaya matahari.
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.